`torch_dtype` is deprecated! Use `dtype` instead!
/vast/users/muhammad.haris/anaconda3/envs/polyalign/lib/python3.11/site-packages/torch/nn/modules/module.py:1357: UserWarning: expandable_segments not supported on this platform (Triggered internally at /pytorch/c10/hip/HIPAllocatorConfig.h:36.)
  return t.to(

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train epoch 1/1:   1%|          | 70/10792 [00:31<54:50,  3.26it/s, loss=0.1494, rank=0.0971, reg=0.0523]  
train epoch 1/1:   1%|          | 70/10792 [00:31<54:50,  3.26it/s, loss=0.3762, rank=0.1156, reg=0.2606]
train epoch 1/1:   1%|          | 71/10792 [00:31<52:41,  3.39it/s, loss=0.3762, rank=0.1156, reg=0.2606]
train epoch 1/1:   1%|          | 71/10792 [00:31<52:41,  3.39it/s, loss=0.1523, rank=0.0578, reg=0.0945]
train epoch 1/1:   1%|          | 72/10792 [00:31<46:59,  3.80it/s, loss=0.1523, rank=0.0578, reg=0.0945]
train epoch 1/1:   1%|          | 72/10792 [00:32<46:59,  3.80it/s, loss=0.1184, rank=0.0405, reg=0.0779]
train epoch 1/1:   1%|          | 73/10792 [00:32<49:52,  3.58it/s, loss=0.1184, rank=0.0405, reg=0.0779]
train epoch 1/1:   1%|          | 73/10792 [00:32<49:52,  3.58it/s, loss=0.2584, rank=0.0538, reg=0.2046]
train epoch 1/1:   1%|          | 74/10792 [00:32<53:28,  3.34it/s, loss=0.2584, rank=0.0538, reg=0.2046]
train epoch 1/1:   1%|          | 74/10792 [00:33<53:28,  3.34it/s, loss=0.1226, rank=0.0455, reg=0.0771]
train epoch 1/1:   1%|          | 75/10792 [00:33<1:01:06,  2.92it/s, loss=0.1226, rank=0.0455, reg=0.0771]
train epoch 1/1:   1%|          | 75/10792 [00:33<1:01:06,  2.92it/s, loss=0.2024, rank=0.0594, reg=0.1429]
train epoch 1/1:   1%|          | 76/10792 [00:33<50:53,  3.51it/s, loss=0.2024, rank=0.0594, reg=0.1429]  
train epoch 1/1:   1%|          | 76/10792 [00:33<50:53,  3.51it/s, loss=0.2485, rank=0.0845, reg=0.1641]
train epoch 1/1:   1%|          | 77/10792 [00:33<45:18,  3.94it/s, loss=0.2485, rank=0.0845, reg=0.1641]
train epoch 1/1:   1%|          | 77/10792 [00:33<45:18,  3.94it/s, loss=0.2085, rank=0.0190, reg=0.1895]
train epoch 1/1:   1%|          | 78/10792 [00:33<1:03:51,  2.80it/s, loss=0.2085, rank=0.0190, reg=0.1895]
train epoch 1/1:   1%|          | 78/10792 [00:34<1:03:51,  2.80it/s, loss=0.1432, rank=0.0324, reg=0.1107]
train epoch 1/1:   1%|          | 79/10792 [00:34<56:40,  3.15it/s, loss=0.1432, rank=0.0324, reg=0.1107]  
train epoch 1/1:   1%|          | 79/10792 [00:34<56:40,  3.15it/s, loss=0.1722, rank=0.0501, reg=0.1221]
train epoch 1/1:   1%|          | 80/10792 [00:34<50:54,  3.51it/s, loss=0.1722, rank=0.0501, reg=0.1221]
train epoch 1/1:   1%|          | 80/10792 [00:34<50:54,  3.51it/s, loss=0.1131, rank=0.0439, reg=0.0692]
train epoch 1/1:   1%|          | 81/10792 [00:34<46:17,  3.86it/s, loss=0.1131, rank=0.0439, reg=0.0692]
train epoch 1/1:   1%|          | 81/10792 [00:34<46:17,  3.86it/s, loss=0.0954, rank=0.0572, reg=0.0382]
train epoch 1/1:   1%|          | 82/10792 [00:34<43:41,  4.08it/s, loss=0.0954, rank=0.0572, reg=0.0382]
train epoch 1/1:   1%|          | 82/10792 [00:34<43:41,  4.08it/s, loss=0.1456, rank=0.0497, reg=0.0959]
train epoch 1/1:   1%|          | 83/10792 [00:34<41:44,  4.28it/s, loss=0.1456, rank=0.0497, reg=0.0959]
train epoch 1/1:   1%|          | 83/10792 [00:35<41:44,  4.28it/s, loss=0.1565, rank=0.0584, reg=0.0981]
train epoch 1/1:   1%|          | 84/10792 [00:35<1:10:09,  2.54it/s, loss=0.1565, rank=0.0584, reg=0.0981]
train epoch 1/1:   1%|          | 84/10792 [00:35<1:10:09,  2.54it/s, loss=0.1541, rank=0.0686, reg=0.0855]
train epoch 1/1:   1%|          | 85/10792 [00:35<57:47,  3.09it/s, loss=0.1541, rank=0.0686, reg=0.0855]  
train epoch 1/1:   1%|          | 85/10792 [00:36<57:47,  3.09it/s, loss=0.1621, rank=0.0554, reg=0.1067]
train epoch 1/1:   1%|          | 86/10792 [00:36<48:54,  3.65it/s, loss=0.1621, rank=0.0554, reg=0.1067]
train epoch 1/1:   1%|          | 86/10792 [00:36<48:54,  3.65it/s, loss=0.0701, rank=0.0385, reg=0.0317]
train epoch 1/1:   1%|          | 87/10792 [00:36<1:16:31,  2.33it/s, loss=0.0701, rank=0.0385, reg=0.0317]
train epoch 1/1:   1%|          | 87/10792 [00:37<1:16:31,  2.33it/s, loss=0.1633, rank=0.0801, reg=0.0832]
train epoch 1/1:   1%|          | 88/10792 [00:37<1:13:44,  2.42it/s, loss=0.1633, rank=0.0801, reg=0.0832]
train epoch 1/1:   1%|          | 88/10792 [00:37<1:13:44,  2.42it/s, loss=0.1624, rank=0.0602, reg=0.1022]
train epoch 1/1:   1%|          | 89/10792 [00:37<1:11:35,  2.49it/s, loss=0.1624, rank=0.0602, reg=0.1022]
train epoch 1/1:   1%|          | 89/10792 [00:37<1:11:35,  2.49it/s, loss=0.1360, rank=0.0690, reg=0.0670]
train epoch 1/1:   1%|          | 90/10792 [00:37<1:07:35,  2.64it/s, loss=0.1360, rank=0.0690, reg=0.0670]
train epoch 1/1:   1%|          | 90/10792 [00:38<1:07:35,  2.64it/s, loss=0.1476, rank=0.0627, reg=0.0848]
train epoch 1/1:   1%|          | 91/10792 [00:38<1:24:58,  2.10it/s, loss=0.1476, rank=0.0627, reg=0.0848]
train epoch 1/1:   1%|          | 91/10792 [00:38<1:24:58,  2.10it/s, loss=0.1147, rank=0.0558, reg=0.0589]
train epoch 1/1:   1%|          | 92/10792 [00:38<1:13:30,  2.43it/s, loss=0.1147, rank=0.0558, reg=0.0589]
train epoch 1/1:   1%|          | 92/10792 [00:39<1:13:30,  2.43it/s, loss=0.1014, rank=0.0062, reg=0.0952]
train epoch 1/1:   1%|          | 93/10792 [00:39<1:04:54,  2.75it/s, loss=0.1014, rank=0.0062, reg=0.0952]
train epoch 1/1:   1%|          | 93/10792 [00:39<1:04:54,  2.75it/s, loss=0.1428, rank=0.0800, reg=0.0628]
train epoch 1/1:   1%|          | 94/10792 [00:39<1:05:37,  2.72it/s, loss=0.1428, rank=0.0800, reg=0.0628]
train epoch 1/1:   1%|          | 94/10792 [00:39<1:05:37,  2.72it/s, loss=0.1235, rank=0.0647, reg=0.0588]
train epoch 1/1:   1%|          | 95/10792 [00:39<53:10,  3.35it/s, loss=0.1235, rank=0.0647, reg=0.0588]  
train epoch 1/1:   1%|          | 95/10792 [00:40<53:10,  3.35it/s, loss=0.1664, rank=0.0825, reg=0.0839]
train epoch 1/1:   1%|          | 96/10792 [00:40<1:16:48,  2.32it/s, loss=0.1664, rank=0.0825, reg=0.0839]
train epoch 1/1:   1%|          | 96/10792 [00:40<1:16:48,  2.32it/s, loss=0.1663, rank=0.0567, reg=0.1097]
train epoch 1/1:   1%|          | 97/10792 [00:40<1:16:04,  2.34it/s, loss=0.1663, rank=0.0567, reg=0.1097]
train epoch 1/1:   1%|          | 97/10792 [00:41<1:16:04,  2.34it/s, loss=0.1224, rank=0.0479, reg=0.0745]
train epoch 1/1:   1%|          | 98/10792 [00:41<1:07:00,  2.66it/s, loss=0.1224, rank=0.0479, reg=0.0745]
train epoch 1/1:   1%|          | 98/10792 [00:41<1:07:00,  2.66it/s, loss=0.1180, rank=0.0700, reg=0.0480]
train epoch 1/1:   1%|          | 99/10792 [00:41<1:04:03,  2.78it/s, loss=0.1180, rank=0.0700, reg=0.0480]
train epoch 1/1:   1%|          | 99/10792 [00:41<1:04:03,  2.78it/s, loss=0.1191, rank=0.0669, reg=0.0523]
train epoch 1/1:   1%|          | 100/10792 [00:41<1:09:31,  2.56it/s, loss=0.1191, rank=0.0669, reg=0.0523]
train epoch 1/1:   1%|          | 100/10792 [00:42<1:09:31,  2.56it/s, loss=0.1734, rank=0.0780, reg=0.0954]
train epoch 1/1:   1%|          | 101/10792 [00:42<1:31:19,  1.95it/s, loss=0.1734, rank=0.0780, reg=0.0954]
train epoch 1/1:   1%|          | 101/10792 [00:43<1:31:19,  1.95it/s, loss=0.1619, rank=0.0616, reg=0.1002]
train epoch 1/1:   1%|          | 102/10792 [00:43<1:26:33,  2.06it/s, loss=0.1619, rank=0.0616, reg=0.1002]
train epoch 1/1:   1%|          | 102/10792 [00:43<1:26:33,  2.06it/s, loss=0.1952, rank=0.0671, reg=0.1280]
train epoch 1/1:   1%|          | 103/10792 [00:43<1:14:58,  2.38it/s, loss=0.1952, rank=0.0671, reg=0.1280]
train epoch 1/1:   1%|          | 103/10792 [00:44<1:14:58,  2.38it/s, loss=0.1135, rank=0.0285, reg=0.0850]
train epoch 1/1:   1%|          | 104/10792 [00:44<1:28:44,  2.01it/s, loss=0.1135, rank=0.0285, reg=0.0850]
train epoch 1/1:   1%|          | 104/10792 [00:45<1:28:44,  2.01it/s, loss=0.1399, rank=0.0455, reg=0.0944]
train epoch 1/1:   1%|          | 105/10792 [00:45<1:57:03,  1.52it/s, loss=0.1399, rank=0.0455, reg=0.0944]
train epoch 1/1:   1%|          | 105/10792 [00:45<1:57:03,  1.52it/s, loss=0.1470, rank=0.0466, reg=0.1004]
train epoch 1/1:   1%|          | 106/10792 [00:45<1:44:53,  1.70it/s, loss=0.1470, rank=0.0466, reg=0.1004]
train epoch 1/1:   1%|          | 106/10792 [00:45<1:44:53,  1.70it/s, loss=0.1261, rank=0.0567, reg=0.0695]
train epoch 1/1:   1%|          | 107/10792 [00:45<1:37:06,  1.83it/s, loss=0.1261, rank=0.0567, reg=0.0695]
train epoch 1/1:   1%|          | 107/10792 [00:46<1:37:06,  1.83it/s, loss=0.1859, rank=0.0160, reg=0.1700]
train epoch 1/1:   1%|          | 108/10792 [00:46<1:29:07,  2.00it/s, loss=0.1859, rank=0.0160, reg=0.1700]
train epoch 1/1:   1%|          | 108/10792 [00:46<1:29:07,  2.00it/s, loss=0.1553, rank=0.0821, reg=0.0733]
train epoch 1/1:   1%|          | 109/10792 [00:46<1:14:50,  2.38it/s, loss=0.1553, rank=0.0821, reg=0.0733]
train epoch 1/1:   1%|          | 109/10792 [00:46<1:14:50,  2.38it/s, loss=0.1299, rank=0.0447, reg=0.0851]
train epoch 1/1:   1%|          | 110/10792 [00:46<59:34,  2.99it/s, loss=0.1299, rank=0.0447, reg=0.0851]  
train epoch 1/1:   1%|          | 110/10792 [00:47<59:34,  2.99it/s, loss=0.1800, rank=0.0634, reg=0.1166]
train epoch 1/1:   1%|          | 111/10792 [00:47<1:23:26,  2.13it/s, loss=0.1800, rank=0.0634, reg=0.1166]
train epoch 1/1:   1%|          | 111/10792 [00:47<1:23:26,  2.13it/s, loss=0.1250, rank=0.0587, reg=0.0663]
train epoch 1/1:   1%|          | 112/10792 [00:47<1:07:24,  2.64it/s, loss=0.1250, rank=0.0587, reg=0.0663]
train epoch 1/1:   1%|          | 112/10792 [00:47<1:07:24,  2.64it/s, loss=0.1086, rank=0.0581, reg=0.0505]
train epoch 1/1:   1%|          | 113/10792 [00:47<1:00:21,  2.95it/s, loss=0.1086, rank=0.0581, reg=0.0505]
train epoch 1/1:   1%|          | 113/10792 [00:48<1:00:21,  2.95it/s, loss=0.1457, rank=0.0593, reg=0.0864]
train epoch 1/1:   1%|          | 114/10792 [00:48<1:26:48,  2.05it/s, loss=0.1457, rank=0.0593, reg=0.0864]
train epoch 1/1:   1%|          | 114/10792 [00:49<1:26:48,  2.05it/s, loss=0.0978, rank=0.0255, reg=0.0723]
train epoch 1/1:   1%|          | 115/10792 [00:49<1:25:10,  2.09it/s, loss=0.0978, rank=0.0255, reg=0.0723]
train epoch 1/1:   1%|          | 115/10792 [00:49<1:25:10,  2.09it/s, loss=0.1091, rank=0.0452, reg=0.0639]
train epoch 1/1:   1%|          | 116/10792 [00:49<1:16:18,  2.33it/s, loss=0.1091, rank=0.0452, reg=0.0639]
train epoch 1/1:   1%|          | 116/10792 [00:49<1:16:18,  2.33it/s, loss=0.1284, rank=0.0837, reg=0.0447]
train epoch 1/1:   1%|          | 117/10792 [00:49<1:11:26,  2.49it/s, loss=0.1284, rank=0.0837, reg=0.0447]
train epoch 1/1:   1%|          | 117/10792 [00:50<1:11:26,  2.49it/s, loss=0.0928, rank=0.0548, reg=0.0380]
train epoch 1/1:   1%|          | 118/10792 [00:50<1:01:35,  2.89it/s, loss=0.0928, rank=0.0548, reg=0.0380]
train epoch 1/1:   1%|          | 118/10792 [00:50<1:01:35,  2.89it/s, loss=0.0853, rank=0.0252, reg=0.0601]
train epoch 1/1:   1%|          | 119/10792 [00:50<58:26,  3.04it/s, loss=0.0853, rank=0.0252, reg=0.0601]  
train epoch 1/1:   1%|          | 119/10792 [00:50<58:26,  3.04it/s, loss=0.1740, rank=0.0770, reg=0.0970]
train epoch 1/1:   1%|          | 120/10792 [00:50<1:00:23,  2.95it/s, loss=0.1740, rank=0.0770, reg=0.0970]
train epoch 1/1:   1%|          | 120/10792 [00:50<1:00:23,  2.95it/s, loss=0.1844, rank=0.0980, reg=0.0864]
train epoch 1/1:   1%|          | 121/10792 [00:50<51:49,  3.43it/s, loss=0.1844, rank=0.0980, reg=0.0864]  
train epoch 1/1:   1%|          | 121/10792 [00:51<51:49,  3.43it/s, loss=0.0708, rank=0.0124, reg=0.0584]
train epoch 1/1:   1%|          | 122/10792 [00:51<55:24,  3.21it/s, loss=0.0708, rank=0.0124, reg=0.0584]
train epoch 1/1:   1%|          | 122/10792 [00:51<55:24,  3.21it/s, loss=0.1578, rank=0.0941, reg=0.0637]
train epoch 1/1:   1%|          | 123/10792 [00:51<1:00:54,  2.92it/s, loss=0.1578, rank=0.0941, reg=0.0637]
train epoch 1/1:   1%|          | 123/10792 [00:52<1:00:54,  2.92it/s, loss=0.0781, rank=0.0336, reg=0.0445]
train epoch 1/1:   1%|          | 124/10792 [00:52<1:11:48,  2.48it/s, loss=0.0781, rank=0.0336, reg=0.0445]
train epoch 1/1:   1%|          | 124/10792 [00:52<1:11:48,  2.48it/s, loss=0.0872, rank=0.0573, reg=0.0299]
train epoch 1/1:   1%|          | 125/10792 [00:52<1:05:02,  2.73it/s, loss=0.0872, rank=0.0573, reg=0.0299]
train epoch 1/1:   1%|          | 125/10792 [00:53<1:05:02,  2.73it/s, loss=0.1772, rank=0.0807, reg=0.0965]
train epoch 1/1:   1%|          | 126/10792 [00:53<1:27:50,  2.02it/s, loss=0.1772, rank=0.0807, reg=0.0965]
train epoch 1/1:   1%|          | 126/10792 [00:53<1:27:50,  2.02it/s, loss=0.1342, rank=0.0615, reg=0.0727]
train epoch 1/1:   1%|          | 127/10792 [00:53<1:09:20,  2.56it/s, loss=0.1342, rank=0.0615, reg=0.0727]
train epoch 1/1:   1%|          | 127/10792 [00:53<1:09:20,  2.56it/s, loss=0.1344, rank=0.0522, reg=0.0822]
train epoch 1/1:   1%|          | 128/10792 [00:53<1:03:33,  2.80it/s, loss=0.1344, rank=0.0522, reg=0.0822]
train epoch 1/1:   1%|          | 128/10792 [00:54<1:03:33,  2.80it/s, loss=0.0864, rank=0.0436, reg=0.0428]
train epoch 1/1:   1%|          | 129/10792 [00:54<1:26:23,  2.06it/s, loss=0.0864, rank=0.0436, reg=0.0428]
train epoch 1/1:   1%|          | 129/10792 [00:54<1:26:23,  2.06it/s, loss=0.1316, rank=0.0590, reg=0.0726]
train epoch 1/1:   1%|          | 130/10792 [00:54<1:13:16,  2.43it/s, loss=0.1316, rank=0.0590, reg=0.0726]
train epoch 1/1:   1%|          | 130/10792 [00:54<1:13:16,  2.43it/s, loss=0.1734, rank=0.0789, reg=0.0945]
train epoch 1/1:   1%|          | 131/10792 [00:54<1:00:35,  2.93it/s, loss=0.1734, rank=0.0789, reg=0.0945]
train epoch 1/1:   1%|          | 131/10792 [00:55<1:00:35,  2.93it/s, loss=0.0936, rank=0.0369, reg=0.0567]
train epoch 1/1:   1%|          | 132/10792 [00:55<57:16,  3.10it/s, loss=0.0936, rank=0.0369, reg=0.0567]  
train epoch 1/1:   1%|          | 132/10792 [00:55<57:16,  3.10it/s, loss=0.1251, rank=0.0727, reg=0.0524]
train epoch 1/1:   1%|          | 133/10792 [00:55<47:02,  3.78it/s, loss=0.1251, rank=0.0727, reg=0.0524]
train epoch 1/1:   1%|          | 133/10792 [00:56<47:02,  3.78it/s, loss=0.1604, rank=0.0670, reg=0.0934]
train epoch 1/1:   1%|          | 134/10792 [00:56<1:16:12,  2.33it/s, loss=0.1604, rank=0.0670, reg=0.0934]
train epoch 1/1:   1%|          | 134/10792 [00:56<1:16:12,  2.33it/s, loss=0.1580, rank=0.0779, reg=0.0801]
train epoch 1/1:   1%|▏         | 135/10792 [00:56<1:10:51,  2.51it/s, loss=0.1580, rank=0.0779, reg=0.0801]
train epoch 1/1:   1%|▏         | 135/10792 [00:57<1:10:51,  2.51it/s, loss=0.1530, rank=0.0165, reg=0.1365]
train epoch 1/1:   1%|▏         | 136/10792 [00:57<1:30:57,  1.95it/s, loss=0.1530, rank=0.0165, reg=0.1365]
train epoch 1/1:   1%|▏         | 136/10792 [00:57<1:30:57,  1.95it/s, loss=0.1384, rank=0.0293, reg=0.1091]
train epoch 1/1:   1%|▏         | 137/10792 [00:57<1:21:37,  2.18it/s, loss=0.1384, rank=0.0293, reg=0.1091]
train epoch 1/1:   1%|▏         | 137/10792 [00:58<1:21:37,  2.18it/s, loss=0.1355, rank=0.0715, reg=0.0640]
train epoch 1/1:   1%|▏         | 138/10792 [00:58<1:23:17,  2.13it/s, loss=0.1355, rank=0.0715, reg=0.0640]
train epoch 1/1:   1%|▏         | 138/10792 [00:58<1:23:17,  2.13it/s, loss=0.0858, rank=0.0243, reg=0.0615]
train epoch 1/1:   1%|▏         | 139/10792 [00:58<1:28:45,  2.00it/s, loss=0.0858, rank=0.0243, reg=0.0615]
train epoch 1/1:   1%|▏         | 139/10792 [00:59<1:28:45,  2.00it/s, loss=0.1174, rank=0.0577, reg=0.0597]
train epoch 1/1:   1%|▏         | 140/10792 [00:59<1:25:44,  2.07it/s, loss=0.1174, rank=0.0577, reg=0.0597]
train epoch 1/1:   1%|▏         | 140/10792 [00:59<1:25:44,  2.07it/s, loss=0.0817, rank=0.0122, reg=0.0695]
train epoch 1/1:   1%|▏         | 141/10792 [00:59<1:13:06,  2.43it/s, loss=0.0817, rank=0.0122, reg=0.0695]
train epoch 1/1:   1%|▏         | 141/10792 [00:59<1:13:06,  2.43it/s, loss=0.1058, rank=0.0306, reg=0.0752]
train epoch 1/1:   1%|▏         | 142/10792 [00:59<1:06:02,  2.69it/s, loss=0.1058, rank=0.0306, reg=0.0752]
train epoch 1/1:   1%|▏         | 142/10792 [00:59<1:06:02,  2.69it/s, loss=0.1304, rank=0.0550, reg=0.0754]
train epoch 1/1:   1%|▏         | 143/10792 [00:59<1:00:57,  2.91it/s, loss=0.1304, rank=0.0550, reg=0.0754]
train epoch 1/1:   1%|▏         | 143/10792 [01:00<1:00:57,  2.91it/s, loss=0.1504, rank=0.0366, reg=0.1138]
train epoch 1/1:   1%|▏         | 144/10792 [01:00<52:18,  3.39it/s, loss=0.1504, rank=0.0366, reg=0.1138]  
train epoch 1/1:   1%|▏         | 144/10792 [01:01<52:18,  3.39it/s, loss=0.2175, rank=0.0695, reg=0.1480]
train epoch 1/1:   1%|▏         | 145/10792 [01:01<1:38:47,  1.80it/s, loss=0.2175, rank=0.0695, reg=0.1480]
train epoch 1/1:   1%|▏         | 145/10792 [01:01<1:38:47,  1.80it/s, loss=0.1585, rank=0.0724, reg=0.0861]
train epoch 1/1:   1%|▏         | 146/10792 [01:01<1:48:06,  1.64it/s, loss=0.1585, rank=0.0724, reg=0.0861]
train epoch 1/1:   1%|▏         | 146/10792 [01:02<1:48:06,  1.64it/s, loss=0.1652, rank=0.0607, reg=0.1045]
train epoch 1/1:   1%|▏         | 147/10792 [01:02<2:01:55,  1.46it/s, loss=0.1652, rank=0.0607, reg=0.1045]
train epoch 1/1:   1%|▏         | 147/10792 [01:03<2:01:55,  1.46it/s, loss=0.2016, rank=0.0247, reg=0.1769]
train epoch 1/1:   1%|▏         | 148/10792 [01:03<1:37:27,  1.82it/s, loss=0.2016, rank=0.0247, reg=0.1769]
train epoch 1/1:   1%|▏         | 148/10792 [01:03<1:37:27,  1.82it/s, loss=0.1234, rank=0.0431, reg=0.0803]
train epoch 1/1:   1%|▏         | 149/10792 [01:03<1:21:18,  2.18it/s, loss=0.1234, rank=0.0431, reg=0.0803]
train epoch 1/1:   1%|▏         | 149/10792 [01:03<1:21:18,  2.18it/s, loss=0.2947, rank=0.0352, reg=0.2595]
train epoch 1/1:   1%|▏         | 150/10792 [01:03<1:09:05,  2.57it/s, loss=0.2947, rank=0.0352, reg=0.2595]
train epoch 1/1:   1%|▏         | 150/10792 [01:03<1:09:05,  2.57it/s, loss=0.1052, rank=0.0429, reg=0.0623]
train epoch 1/1:   1%|▏         | 151/10792 [01:03<54:15,  3.27it/s, loss=0.1052, rank=0.0429, reg=0.0623]  
train epoch 1/1:   1%|▏         | 151/10792 [01:04<54:15,  3.27it/s, loss=0.0918, rank=0.0438, reg=0.0479]
train epoch 1/1:   1%|▏         | 152/10792 [01:04<1:10:16,  2.52it/s, loss=0.0918, rank=0.0438, reg=0.0479]
train epoch 1/1:   1%|▏         | 152/10792 [01:04<1:10:16,  2.52it/s, loss=0.0994, rank=0.0316, reg=0.0677]
train epoch 1/1:   1%|▏         | 153/10792 [01:04<1:00:26,  2.93it/s, loss=0.0994, rank=0.0316, reg=0.0677]
train epoch 1/1:   1%|▏         | 153/10792 [01:04<1:00:26,  2.93it/s, loss=0.1296, rank=0.0636, reg=0.0660]
train epoch 1/1:   1%|▏         | 154/10792 [01:04<59:37,  2.97it/s, loss=0.1296, rank=0.0636, reg=0.0660]  
train epoch 1/1:   1%|▏         | 154/10792 [01:05<59:37,  2.97it/s, loss=0.1863, rank=0.1102, reg=0.0761]
train epoch 1/1:   1%|▏         | 155/10792 [01:05<53:19,  3.32it/s, loss=0.1863, rank=0.1102, reg=0.0761]
train epoch 1/1:   1%|▏         | 155/10792 [01:05<53:19,  3.32it/s, loss=0.1372, rank=0.0554, reg=0.0818]
train epoch 1/1:   1%|▏         | 156/10792 [01:05<1:08:59,  2.57it/s, loss=0.1372, rank=0.0554, reg=0.0818]
train epoch 1/1:   1%|▏         | 156/10792 [01:05<1:08:59,  2.57it/s, loss=0.1036, rank=0.0266, reg=0.0771]
train epoch 1/1:   1%|▏         | 157/10792 [01:05<59:05,  3.00it/s, loss=0.1036, rank=0.0266, reg=0.0771]  
train epoch 1/1:   1%|▏         | 157/10792 [01:06<59:05,  3.00it/s, loss=0.0649, rank=0.0226, reg=0.0424]
train epoch 1/1:   1%|▏         | 158/10792 [01:06<1:17:25,  2.29it/s, loss=0.0649, rank=0.0226, reg=0.0424]
train epoch 1/1:   1%|▏         | 158/10792 [01:06<1:17:25,  2.29it/s, loss=0.0809, rank=0.0392, reg=0.0417]
train epoch 1/1:   1%|▏         | 159/10792 [01:06<1:07:34,  2.62it/s, loss=0.0809, rank=0.0392, reg=0.0417]
train epoch 1/1:   1%|▏         | 159/10792 [01:07<1:07:34,  2.62it/s, loss=0.1145, rank=0.0301, reg=0.0845]
train epoch 1/1:   1%|▏         | 160/10792 [01:07<1:28:24,  2.00it/s, loss=0.1145, rank=0.0301, reg=0.0845]
train epoch 1/1:   1%|▏         | 160/10792 [01:07<1:28:24,  2.00it/s, loss=0.1204, rank=0.0436, reg=0.0768]
train epoch 1/1:   1%|▏         | 161/10792 [01:07<1:18:16,  2.26it/s, loss=0.1204, rank=0.0436, reg=0.0768]
train epoch 1/1:   1%|▏         | 161/10792 [01:08<1:18:16,  2.26it/s, loss=0.1502, rank=0.0949, reg=0.0553]
train epoch 1/1:   2%|▏         | 162/10792 [01:08<1:09:57,  2.53it/s, loss=0.1502, rank=0.0949, reg=0.0553]
train epoch 1/1:   2%|▏         | 162/10792 [01:08<1:09:57,  2.53it/s, loss=0.1182, rank=0.0220, reg=0.0962]
train epoch 1/1:   2%|▏         | 163/10792 [01:08<1:25:23,  2.07it/s, loss=0.1182, rank=0.0220, reg=0.0962]
train epoch 1/1:   2%|▏         | 163/10792 [01:09<1:25:23,  2.07it/s, loss=0.1043, rank=0.0562, reg=0.0481]
train epoch 1/1:   2%|▏         | 164/10792 [01:09<1:18:51,  2.25it/s, loss=0.1043, rank=0.0562, reg=0.0481]
train epoch 1/1:   2%|▏         | 164/10792 [01:09<1:18:51,  2.25it/s, loss=0.0868, rank=0.0343, reg=0.0526]
train epoch 1/1:   2%|▏         | 165/10792 [01:09<1:09:00,  2.57it/s, loss=0.0868, rank=0.0343, reg=0.0526]
train epoch 1/1:   2%|▏         | 165/10792 [01:09<1:09:00,  2.57it/s, loss=0.2511, rank=0.0648, reg=0.1863]
train epoch 1/1:   2%|▏         | 166/10792 [01:09<1:12:32,  2.44it/s, loss=0.2511, rank=0.0648, reg=0.1863]
train epoch 1/1:   2%|▏         | 166/10792 [01:10<1:12:32,  2.44it/s, loss=0.1231, rank=0.0736, reg=0.0495]
train epoch 1/1:   2%|▏         | 167/10792 [01:10<1:26:55,  2.04it/s, loss=0.1231, rank=0.0736, reg=0.0495]
train epoch 1/1:   2%|▏         | 167/10792 [01:10<1:26:55,  2.04it/s, loss=0.1104, rank=0.0363, reg=0.0741]
train epoch 1/1:   2%|▏         | 168/10792 [01:10<1:17:06,  2.30it/s, loss=0.1104, rank=0.0363, reg=0.0741]
train epoch 1/1:   2%|▏         | 168/10792 [01:11<1:17:06,  2.30it/s, loss=0.0918, rank=0.0457, reg=0.0460]
train epoch 1/1:   2%|▏         | 169/10792 [01:11<1:03:44,  2.78it/s, loss=0.0918, rank=0.0457, reg=0.0460]
train epoch 1/1:   2%|▏         | 169/10792 [01:11<1:03:44,  2.78it/s, loss=0.1751, rank=0.0397, reg=0.1354]
train epoch 1/1:   2%|▏         | 170/10792 [01:11<1:04:24,  2.75it/s, loss=0.1751, rank=0.0397, reg=0.1354]
train epoch 1/1:   2%|▏         | 170/10792 [01:12<1:04:24,  2.75it/s, loss=0.0839, rank=0.0299, reg=0.0541]
train epoch 1/1:   2%|▏         | 171/10792 [01:12<1:26:33,  2.04it/s, loss=0.0839, rank=0.0299, reg=0.0541]
train epoch 1/1:   2%|▏         | 171/10792 [01:12<1:26:33,  2.04it/s, loss=0.1530, rank=0.0430, reg=0.1100]
train epoch 1/1:   2%|▏         | 172/10792 [01:12<1:13:41,  2.40it/s, loss=0.1530, rank=0.0430, reg=0.1100]
train epoch 1/1:   2%|▏         | 172/10792 [01:13<1:13:41,  2.40it/s, loss=0.1105, rank=0.0481, reg=0.0624]
train epoch 1/1:   2%|▏         | 173/10792 [01:13<1:22:55,  2.13it/s, loss=0.1105, rank=0.0481, reg=0.0624]
train epoch 1/1:   2%|▏         | 173/10792 [01:13<1:22:55,  2.13it/s, loss=0.0806, rank=0.0403, reg=0.0403]
train epoch 1/1:   2%|▏         | 174/10792 [01:13<1:12:41,  2.43it/s, loss=0.0806, rank=0.0403, reg=0.0403]
train epoch 1/1:   2%|▏         | 174/10792 [01:13<1:12:41,  2.43it/s, loss=0.1665, rank=0.0749, reg=0.0916]
train epoch 1/1:   2%|▏         | 175/10792 [01:13<1:03:17,  2.80it/s, loss=0.1665, rank=0.0749, reg=0.0916]
train epoch 1/1:   2%|▏         | 175/10792 [01:14<1:03:17,  2.80it/s, loss=0.1482, rank=0.0659, reg=0.0824]
train epoch 1/1:   2%|▏         | 176/10792 [01:14<1:36:42,  1.83it/s, loss=0.1482, rank=0.0659, reg=0.0824]
train epoch 1/1:   2%|▏         | 176/10792 [01:15<1:36:42,  1.83it/s, loss=0.1341, rank=0.0831, reg=0.0510]
train epoch 1/1:   2%|▏         | 177/10792 [01:15<1:37:03,  1.82it/s, loss=0.1341, rank=0.0831, reg=0.0510]
train epoch 1/1:   2%|▏         | 177/10792 [01:15<1:37:03,  1.82it/s, loss=0.0441, rank=0.0077, reg=0.0364]
train epoch 1/1:   2%|▏         | 178/10792 [01:15<1:15:12,  2.35it/s, loss=0.0441, rank=0.0077, reg=0.0364]
train epoch 1/1:   2%|▏         | 178/10792 [01:15<1:15:12,  2.35it/s, loss=0.1427, rank=0.0433, reg=0.0994]
train epoch 1/1:   2%|▏         | 179/10792 [01:15<1:12:42,  2.43it/s, loss=0.1427, rank=0.0433, reg=0.0994]
train epoch 1/1:   2%|▏         | 179/10792 [01:16<1:12:42,  2.43it/s, loss=0.1140, rank=0.0292, reg=0.0848]
train epoch 1/1:   2%|▏         | 180/10792 [01:16<1:30:37,  1.95it/s, loss=0.1140, rank=0.0292, reg=0.0848]
train epoch 1/1:   2%|▏         | 180/10792 [01:16<1:30:37,  1.95it/s, loss=0.1158, rank=0.0260, reg=0.0898]
train epoch 1/1:   2%|▏         | 181/10792 [01:16<1:16:46,  2.30it/s, loss=0.1158, rank=0.0260, reg=0.0898]
train epoch 1/1:   2%|▏         | 181/10792 [01:16<1:16:46,  2.30it/s, loss=0.1395, rank=0.0903, reg=0.0492]
train epoch 1/1:   2%|▏         | 182/10792 [01:16<1:05:39,  2.69it/s, loss=0.1395, rank=0.0903, reg=0.0492]
train epoch 1/1:   2%|▏         | 182/10792 [01:16<1:05:39,  2.69it/s, loss=0.1277, rank=0.0583, reg=0.0694]
train epoch 1/1:   2%|▏         | 183/10792 [01:16<54:19,  3.25it/s, loss=0.1277, rank=0.0583, reg=0.0694]  
train epoch 1/1:   2%|▏         | 183/10792 [01:17<54:19,  3.25it/s, loss=0.0746, rank=0.0290, reg=0.0455]
train epoch 1/1:   2%|▏         | 184/10792 [01:17<1:17:35,  2.28it/s, loss=0.0746, rank=0.0290, reg=0.0455]
train epoch 1/1:   2%|▏         | 184/10792 [01:18<1:17:35,  2.28it/s, loss=0.1400, rank=0.0320, reg=0.1080]
train epoch 1/1:   2%|▏         | 185/10792 [01:18<1:15:40,  2.34it/s, loss=0.1400, rank=0.0320, reg=0.1080]
train epoch 1/1:   2%|▏         | 185/10792 [01:18<1:15:40,  2.34it/s, loss=0.0993, rank=0.0647, reg=0.0347]
train epoch 1/1:   2%|▏         | 186/10792 [01:18<1:20:48,  2.19it/s, loss=0.0993, rank=0.0647, reg=0.0347]
train epoch 1/1:   2%|▏         | 186/10792 [01:18<1:20:48,  2.19it/s, loss=0.1172, rank=0.0336, reg=0.0836]
train epoch 1/1:   2%|▏         | 187/10792 [01:18<1:11:43,  2.46it/s, loss=0.1172, rank=0.0336, reg=0.0836]
train epoch 1/1:   2%|▏         | 187/10792 [01:19<1:11:43,  2.46it/s, loss=0.0674, rank=0.0190, reg=0.0484]
train epoch 1/1:   2%|▏         | 188/10792 [01:19<1:00:42,  2.91it/s, loss=0.0674, rank=0.0190, reg=0.0484]
train epoch 1/1:   2%|▏         | 188/10792 [01:19<1:00:42,  2.91it/s, loss=0.0907, rank=0.0466, reg=0.0442]
train epoch 1/1:   2%|▏         | 189/10792 [01:19<1:14:51,  2.36it/s, loss=0.0907, rank=0.0466, reg=0.0442]
train epoch 1/1:   2%|▏         | 189/10792 [01:19<1:14:51,  2.36it/s, loss=0.1309, rank=0.0252, reg=0.1056]
train epoch 1/1:   2%|▏         | 190/10792 [01:19<1:05:28,  2.70it/s, loss=0.1309, rank=0.0252, reg=0.1056]
train epoch 1/1:   2%|▏         | 190/10792 [01:20<1:05:28,  2.70it/s, loss=0.0838, rank=0.0168, reg=0.0670]
train epoch 1/1:   2%|▏         | 191/10792 [01:20<59:33,  2.97it/s, loss=0.0838, rank=0.0168, reg=0.0670]  
train epoch 1/1:   2%|▏         | 191/10792 [01:20<59:33,  2.97it/s, loss=0.0911, rank=0.0246, reg=0.0666]
train epoch 1/1:   2%|▏         | 192/10792 [01:20<49:04,  3.60it/s, loss=0.0911, rank=0.0246, reg=0.0666]
train epoch 1/1:   2%|▏         | 192/10792 [01:20<49:04,  3.60it/s, loss=0.1343, rank=0.0664, reg=0.0679]
train epoch 1/1:   2%|▏         | 193/10792 [01:20<40:47,  4.33it/s, loss=0.1343, rank=0.0664, reg=0.0679]
train epoch 1/1:   2%|▏         | 193/10792 [01:20<40:47,  4.33it/s, loss=0.1405, rank=0.0781, reg=0.0624]
train epoch 1/1:   2%|▏         | 194/10792 [01:20<52:39,  3.35it/s, loss=0.1405, rank=0.0781, reg=0.0624]
train epoch 1/1:   2%|▏         | 194/10792 [01:21<52:39,  3.35it/s, loss=0.1126, rank=0.0429, reg=0.0697]
train epoch 1/1:   2%|▏         | 195/10792 [01:21<1:04:07,  2.75it/s, loss=0.1126, rank=0.0429, reg=0.0697]
train epoch 1/1:   2%|▏         | 195/10792 [01:22<1:04:07,  2.75it/s, loss=0.1054, rank=0.0383, reg=0.0671]
train epoch 1/1:   2%|▏         | 196/10792 [01:22<1:22:08,  2.15it/s, loss=0.1054, rank=0.0383, reg=0.0671]
train epoch 1/1:   2%|▏         | 196/10792 [01:22<1:22:08,  2.15it/s, loss=0.0821, rank=0.0407, reg=0.0414]
train epoch 1/1:   2%|▏         | 197/10792 [01:22<1:06:04,  2.67it/s, loss=0.0821, rank=0.0407, reg=0.0414]
train epoch 1/1:   2%|▏         | 197/10792 [01:22<1:06:04,  2.67it/s, loss=0.1212, rank=0.0891, reg=0.0321]
train epoch 1/1:   2%|▏         | 198/10792 [01:22<1:03:38,  2.77it/s, loss=0.1212, rank=0.0891, reg=0.0321]
train epoch 1/1:   2%|▏         | 198/10792 [01:22<1:03:38,  2.77it/s, loss=0.0850, rank=0.0457, reg=0.0393]
train epoch 1/1:   2%|▏         | 199/10792 [01:22<1:01:21,  2.88it/s, loss=0.0850, rank=0.0457, reg=0.0393]
train epoch 1/1:   2%|▏         | 199/10792 [01:23<1:01:21,  2.88it/s, loss=0.1028, rank=0.0537, reg=0.0491]
train epoch 1/1:   2%|▏         | 200/10792 [01:23<52:13,  3.38it/s, loss=0.1028, rank=0.0537, reg=0.0491]  
train epoch 1/1:   2%|▏         | 200/10792 [01:23<52:13,  3.38it/s, loss=0.1251, rank=0.0309, reg=0.0942]
train epoch 1/1:   2%|▏         | 201/10792 [01:23<51:33,  3.42it/s, loss=0.1251, rank=0.0309, reg=0.0942]
train epoch 1/1:   2%|▏         | 201/10792 [01:23<51:33,  3.42it/s, loss=0.1238, rank=0.0504, reg=0.0734]
train epoch 1/1:   2%|▏         | 202/10792 [01:23<51:55,  3.40it/s, loss=0.1238, rank=0.0504, reg=0.0734]
train epoch 1/1:   2%|▏         | 202/10792 [01:24<51:55,  3.40it/s, loss=0.1340, rank=0.0365, reg=0.0975]
train epoch 1/1:   2%|▏         | 203/10792 [01:24<1:19:50,  2.21it/s, loss=0.1340, rank=0.0365, reg=0.0975]
train epoch 1/1:   2%|▏         | 203/10792 [01:24<1:19:50,  2.21it/s, loss=0.0975, rank=0.0139, reg=0.0836]
train epoch 1/1:   2%|▏         | 204/10792 [01:24<1:12:04,  2.45it/s, loss=0.0975, rank=0.0139, reg=0.0836]
train epoch 1/1:   2%|▏         | 204/10792 [01:25<1:12:04,  2.45it/s, loss=0.0992, rank=0.0264, reg=0.0728]
train epoch 1/1:   2%|▏         | 205/10792 [01:25<1:18:02,  2.26it/s, loss=0.0992, rank=0.0264, reg=0.0728]
train epoch 1/1:   2%|▏         | 205/10792 [01:25<1:18:02,  2.26it/s, loss=0.0999, rank=0.0369, reg=0.0630]
train epoch 1/1:   2%|▏         | 206/10792 [01:25<1:04:02,  2.75it/s, loss=0.0999, rank=0.0369, reg=0.0630]
train epoch 1/1:   2%|▏         | 206/10792 [01:25<1:04:02,  2.75it/s, loss=0.0949, rank=0.0591, reg=0.0358]
train epoch 1/1:   2%|▏         | 207/10792 [01:25<54:38,  3.23it/s, loss=0.0949, rank=0.0591, reg=0.0358]  
train epoch 1/1:   2%|▏         | 207/10792 [01:26<54:38,  3.23it/s, loss=0.1038, rank=0.0235, reg=0.0803]
train epoch 1/1:   2%|▏         | 208/10792 [01:26<1:02:12,  2.84it/s, loss=0.1038, rank=0.0235, reg=0.0803]
train epoch 1/1:   2%|▏         | 208/10792 [01:26<1:02:12,  2.84it/s, loss=0.0888, rank=0.0584, reg=0.0304]
train epoch 1/1:   2%|▏         | 209/10792 [01:26<1:14:49,  2.36it/s, loss=0.0888, rank=0.0584, reg=0.0304]
train epoch 1/1:   2%|▏         | 209/10792 [01:27<1:14:49,  2.36it/s, loss=0.1044, rank=0.0584, reg=0.0460]
train epoch 1/1:   2%|▏         | 210/10792 [01:27<1:06:35,  2.65it/s, loss=0.1044, rank=0.0584, reg=0.0460]
train epoch 1/1:   2%|▏         | 210/10792 [01:27<1:06:35,  2.65it/s, loss=0.1541, rank=0.0939, reg=0.0602]
train epoch 1/1:   2%|▏         | 211/10792 [01:27<57:22,  3.07it/s, loss=0.1541, rank=0.0939, reg=0.0602]  
train epoch 1/1:   2%|▏         | 211/10792 [01:28<57:22,  3.07it/s, loss=0.1016, rank=0.0438, reg=0.0578]
train epoch 1/1:   2%|▏         | 212/10792 [01:28<1:18:49,  2.24it/s, loss=0.1016, rank=0.0438, reg=0.0578]
train epoch 1/1:   2%|▏         | 212/10792 [01:28<1:18:49,  2.24it/s, loss=0.1348, rank=0.0000, reg=0.1348]
train epoch 1/1:   2%|▏         | 213/10792 [01:28<1:08:17,  2.58it/s, loss=0.1348, rank=0.0000, reg=0.1348]
train epoch 1/1:   2%|▏         | 213/10792 [01:28<1:08:17,  2.58it/s, loss=0.1438, rank=0.0615, reg=0.0823]
train epoch 1/1:   2%|▏         | 214/10792 [01:28<53:37,  3.29it/s, loss=0.1438, rank=0.0615, reg=0.0823]  
train epoch 1/1:   2%|▏         | 214/10792 [01:28<53:37,  3.29it/s, loss=0.1181, rank=0.0589, reg=0.0593]
train epoch 1/1:   2%|▏         | 215/10792 [01:28<53:10,  3.31it/s, loss=0.1181, rank=0.0589, reg=0.0593]
train epoch 1/1:   2%|▏         | 215/10792 [01:28<53:10,  3.31it/s, loss=0.0791, rank=0.0354, reg=0.0437]
train epoch 1/1:   2%|▏         | 216/10792 [01:28<44:30,  3.96it/s, loss=0.0791, rank=0.0354, reg=0.0437]
train epoch 1/1:   2%|▏         | 216/10792 [01:29<44:30,  3.96it/s, loss=0.0910, rank=0.0564, reg=0.0346]
train epoch 1/1:   2%|▏         | 217/10792 [01:29<45:28,  3.88it/s, loss=0.0910, rank=0.0564, reg=0.0346]
train epoch 1/1:   2%|▏         | 217/10792 [01:29<45:28,  3.88it/s, loss=0.0995, rank=0.0540, reg=0.0454]
train epoch 1/1:   2%|▏         | 218/10792 [01:29<41:53,  4.21it/s, loss=0.0995, rank=0.0540, reg=0.0454]
train epoch 1/1:   2%|▏         | 218/10792 [01:30<41:53,  4.21it/s, loss=0.1783, rank=0.0540, reg=0.1243]
train epoch 1/1:   2%|▏         | 219/10792 [01:30<1:08:50,  2.56it/s, loss=0.1783, rank=0.0540, reg=0.1243]
train epoch 1/1:   2%|▏         | 219/10792 [01:30<1:08:50,  2.56it/s, loss=0.0470, rank=0.0005, reg=0.0465]
train epoch 1/1:   2%|▏         | 220/10792 [01:30<1:29:51,  1.96it/s, loss=0.0470, rank=0.0005, reg=0.0465]
train epoch 1/1:   2%|▏         | 220/10792 [01:31<1:29:51,  1.96it/s, loss=0.1082, rank=0.0744, reg=0.0338]
train epoch 1/1:   2%|▏         | 221/10792 [01:31<1:43:09,  1.71it/s, loss=0.1082, rank=0.0744, reg=0.0338]
train epoch 1/1:   2%|▏         | 221/10792 [01:31<1:43:09,  1.71it/s, loss=0.0707, rank=0.0335, reg=0.0372]
train epoch 1/1:   2%|▏         | 222/10792 [01:31<1:22:27,  2.14it/s, loss=0.0707, rank=0.0335, reg=0.0372]
train epoch 1/1:   2%|▏         | 222/10792 [01:31<1:22:27,  2.14it/s, loss=0.1425, rank=0.0792, reg=0.0634]
train epoch 1/1:   2%|▏         | 223/10792 [01:31<1:09:10,  2.55it/s, loss=0.1425, rank=0.0792, reg=0.0634]
train epoch 1/1:   2%|▏         | 223/10792 [01:32<1:09:10,  2.55it/s, loss=0.1913, rank=0.0242, reg=0.1670]
train epoch 1/1:   2%|▏         | 224/10792 [01:32<1:15:13,  2.34it/s, loss=0.1913, rank=0.0242, reg=0.1670]
train epoch 1/1:   2%|▏         | 224/10792 [01:33<1:15:13,  2.34it/s, loss=0.1448, rank=0.0616, reg=0.0831]
train epoch 1/1:   2%|▏         | 225/10792 [01:33<1:35:48,  1.84it/s, loss=0.1448, rank=0.0616, reg=0.0831]
train epoch 1/1:   2%|▏         | 225/10792 [01:33<1:35:48,  1.84it/s, loss=0.1040, rank=0.0726, reg=0.0314]
train epoch 1/1:   2%|▏         | 226/10792 [01:33<1:40:51,  1.75it/s, loss=0.1040, rank=0.0726, reg=0.0314]
train epoch 1/1:   2%|▏         | 226/10792 [01:34<1:40:51,  1.75it/s, loss=0.1062, rank=0.0787, reg=0.0275]
train epoch 1/1:   2%|▏         | 227/10792 [01:34<1:24:15,  2.09it/s, loss=0.1062, rank=0.0787, reg=0.0275]
train epoch 1/1:   2%|▏         | 227/10792 [01:34<1:24:15,  2.09it/s, loss=0.0618, rank=0.0237, reg=0.0382]
train epoch 1/1:   2%|▏         | 228/10792 [01:34<1:15:13,  2.34it/s, loss=0.0618, rank=0.0237, reg=0.0382]
train epoch 1/1:   2%|▏         | 228/10792 [01:35<1:15:13,  2.34it/s, loss=0.1715, rank=0.0838, reg=0.0877]
train epoch 1/1:   2%|▏         | 229/10792 [01:35<1:39:46,  1.76it/s, loss=0.1715, rank=0.0838, reg=0.0877]
train epoch 1/1:   2%|▏         | 229/10792 [01:35<1:39:46,  1.76it/s, loss=0.1481, rank=0.0562, reg=0.0918]
train epoch 1/1:   2%|▏         | 230/10792 [01:35<1:18:46,  2.23it/s, loss=0.1481, rank=0.0562, reg=0.0918]
train epoch 1/1:   2%|▏         | 230/10792 [01:35<1:18:46,  2.23it/s, loss=0.1135, rank=0.0703, reg=0.0432]
train epoch 1/1:   2%|▏         | 231/10792 [01:35<1:07:20,  2.61it/s, loss=0.1135, rank=0.0703, reg=0.0432]
train epoch 1/1:   2%|▏         | 231/10792 [01:36<1:07:20,  2.61it/s, loss=0.1785, rank=0.0444, reg=0.1341]
train epoch 1/1:   2%|▏         | 232/10792 [01:36<59:01,  2.98it/s, loss=0.1785, rank=0.0444, reg=0.1341]  
train epoch 1/1:   2%|▏         | 232/10792 [01:36<59:01,  2.98it/s, loss=0.0824, rank=0.0558, reg=0.0266]
train epoch 1/1:   2%|▏         | 233/10792 [01:36<1:00:54,  2.89it/s, loss=0.0824, rank=0.0558, reg=0.0266]
train epoch 1/1:   2%|▏         | 233/10792 [01:36<1:00:54,  2.89it/s, loss=0.1316, rank=0.0689, reg=0.0628]
train epoch 1/1:   2%|▏         | 234/10792 [01:36<1:01:48,  2.85it/s, loss=0.1316, rank=0.0689, reg=0.0628]
train epoch 1/1:   2%|▏         | 234/10792 [01:37<1:01:48,  2.85it/s, loss=0.1160, rank=0.0442, reg=0.0718]
train epoch 1/1:   2%|▏         | 235/10792 [01:37<1:05:21,  2.69it/s, loss=0.1160, rank=0.0442, reg=0.0718]
train epoch 1/1:   2%|▏         | 235/10792 [01:37<1:05:21,  2.69it/s, loss=0.0665, rank=0.0324, reg=0.0341]
train epoch 1/1:   2%|▏         | 236/10792 [01:37<52:26,  3.35it/s, loss=0.0665, rank=0.0324, reg=0.0341]  
train epoch 1/1:   2%|▏         | 236/10792 [01:37<52:26,  3.35it/s, loss=0.1243, rank=0.0934, reg=0.0309]
train epoch 1/1:   2%|▏         | 237/10792 [01:37<43:43,  4.02it/s, loss=0.1243, rank=0.0934, reg=0.0309]
train epoch 1/1:   2%|▏         | 237/10792 [01:38<43:43,  4.02it/s, loss=0.1013, rank=0.0571, reg=0.0442]
train epoch 1/1:   2%|▏         | 238/10792 [01:38<1:01:41,  2.85it/s, loss=0.1013, rank=0.0571, reg=0.0442]
train epoch 1/1:   2%|▏         | 238/10792 [01:38<1:01:41,  2.85it/s, loss=0.0696, rank=0.0442, reg=0.0254]
train epoch 1/1:   2%|▏         | 239/10792 [01:38<56:54,  3.09it/s, loss=0.0696, rank=0.0442, reg=0.0254]  
train epoch 1/1:   2%|▏         | 239/10792 [01:38<56:54,  3.09it/s, loss=0.1359, rank=0.0690, reg=0.0669]
train epoch 1/1:   2%|▏         | 240/10792 [01:38<49:33,  3.55it/s, loss=0.1359, rank=0.0690, reg=0.0669]
train epoch 1/1:   2%|▏         | 240/10792 [01:38<49:33,  3.55it/s, loss=0.1107, rank=0.0797, reg=0.0310]
train epoch 1/1:   2%|▏         | 241/10792 [01:38<46:16,  3.80it/s, loss=0.1107, rank=0.0797, reg=0.0310]
train epoch 1/1:   2%|▏         | 241/10792 [01:39<46:16,  3.80it/s, loss=0.1330, rank=0.0741, reg=0.0589]
train epoch 1/1:   2%|▏         | 242/10792 [01:39<54:01,  3.25it/s, loss=0.1330, rank=0.0741, reg=0.0589]
train epoch 1/1:   2%|▏         | 242/10792 [01:39<54:01,  3.25it/s, loss=0.0833, rank=0.0591, reg=0.0242]
train epoch 1/1:   2%|▏         | 243/10792 [01:39<48:03,  3.66it/s, loss=0.0833, rank=0.0591, reg=0.0242]
train epoch 1/1:   2%|▏         | 243/10792 [01:39<48:03,  3.66it/s, loss=0.0800, rank=0.0452, reg=0.0348]
train epoch 1/1:   2%|▏         | 244/10792 [01:39<57:13,  3.07it/s, loss=0.0800, rank=0.0452, reg=0.0348]
train epoch 1/1:   2%|▏         | 244/10792 [01:40<57:13,  3.07it/s, loss=0.0499, rank=0.0294, reg=0.0205]
train epoch 1/1:   2%|▏         | 245/10792 [01:40<1:01:51,  2.84it/s, loss=0.0499, rank=0.0294, reg=0.0205]
train epoch 1/1:   2%|▏         | 245/10792 [01:40<1:01:51,  2.84it/s, loss=0.0410, rank=0.0188, reg=0.0222]
train epoch 1/1:   2%|▏         | 246/10792 [01:40<1:10:09,  2.51it/s, loss=0.0410, rank=0.0188, reg=0.0222]
train epoch 1/1:   2%|▏         | 246/10792 [01:40<1:10:09,  2.51it/s, loss=0.1524, rank=0.0615, reg=0.0909]
train epoch 1/1:   2%|▏         | 247/10792 [01:40<1:06:41,  2.64it/s, loss=0.1524, rank=0.0615, reg=0.0909]
train epoch 1/1:   2%|▏         | 247/10792 [01:41<1:06:41,  2.64it/s, loss=0.1228, rank=0.0535, reg=0.0693]
train epoch 1/1:   2%|▏         | 248/10792 [01:41<1:00:54,  2.88it/s, loss=0.1228, rank=0.0535, reg=0.0693]
train epoch 1/1:   2%|▏         | 248/10792 [01:42<1:00:54,  2.88it/s, loss=0.1335, rank=0.0742, reg=0.0593]
train epoch 1/1:   2%|▏         | 249/10792 [01:42<1:26:01,  2.04it/s, loss=0.1335, rank=0.0742, reg=0.0593]
train epoch 1/1:   2%|▏         | 249/10792 [01:42<1:26:01,  2.04it/s, loss=0.1333, rank=0.0557, reg=0.0775]
train epoch 1/1:   2%|▏         | 250/10792 [01:42<1:15:30,  2.33it/s, loss=0.1333, rank=0.0557, reg=0.0775]
train epoch 1/1:   2%|▏         | 250/10792 [01:43<1:15:30,  2.33it/s, loss=0.0964, rank=0.0401, reg=0.0563]
train epoch 1/1:   2%|▏         | 251/10792 [01:43<1:34:21,  1.86it/s, loss=0.0964, rank=0.0401, reg=0.0563]
train epoch 1/1:   2%|▏         | 251/10792 [01:43<1:34:21,  1.86it/s, loss=0.3484, rank=0.0866, reg=0.2618]
train epoch 1/1:   2%|▏         | 252/10792 [01:43<1:14:47,  2.35it/s, loss=0.3484, rank=0.0866, reg=0.2618]
train epoch 1/1:   2%|▏         | 252/10792 [01:44<1:14:47,  2.35it/s, loss=0.0376, rank=0.0234, reg=0.0142]
train epoch 1/1:   2%|▏         | 253/10792 [01:44<1:32:17,  1.90it/s, loss=0.0376, rank=0.0234, reg=0.0142]
train epoch 1/1:   2%|▏         | 253/10792 [01:44<1:32:17,  1.90it/s, loss=0.1049, rank=0.0601, reg=0.0448]
train epoch 1/1:   2%|▏         | 254/10792 [01:44<1:11:57,  2.44it/s, loss=0.1049, rank=0.0601, reg=0.0448]
train epoch 1/1:   2%|▏         | 254/10792 [01:44<1:11:57,  2.44it/s, loss=0.2270, rank=0.0661, reg=0.1609]
train epoch 1/1:   2%|▏         | 255/10792 [01:44<1:05:58,  2.66it/s, loss=0.2270, rank=0.0661, reg=0.1609]
train epoch 1/1:   2%|▏         | 255/10792 [01:45<1:05:58,  2.66it/s, loss=0.0756, rank=0.0233, reg=0.0523]
train epoch 1/1:   2%|▏         | 256/10792 [01:45<1:21:42,  2.15it/s, loss=0.0756, rank=0.0233, reg=0.0523]
train epoch 1/1:   2%|▏         | 256/10792 [01:45<1:21:42,  2.15it/s, loss=0.1006, rank=0.0319, reg=0.0687]
train epoch 1/1:   2%|▏         | 257/10792 [01:45<1:18:43,  2.23it/s, loss=0.1006, rank=0.0319, reg=0.0687]
train epoch 1/1:   2%|▏         | 257/10792 [01:46<1:18:43,  2.23it/s, loss=0.0712, rank=0.0387, reg=0.0325]
train epoch 1/1:   2%|▏         | 258/10792 [01:46<1:32:38,  1.90it/s, loss=0.0712, rank=0.0387, reg=0.0325]
train epoch 1/1:   2%|▏         | 258/10792 [01:46<1:32:38,  1.90it/s, loss=0.1265, rank=0.0758, reg=0.0507]
train epoch 1/1:   2%|▏         | 259/10792 [01:46<1:22:22,  2.13it/s, loss=0.1265, rank=0.0758, reg=0.0507]
train epoch 1/1:   2%|▏         | 259/10792 [01:46<1:22:22,  2.13it/s, loss=0.1004, rank=0.0618, reg=0.0386]
train epoch 1/1:   2%|▏         | 260/10792 [01:46<1:12:26,  2.42it/s, loss=0.1004, rank=0.0618, reg=0.0386]
train epoch 1/1:   2%|▏         | 260/10792 [01:47<1:12:26,  2.42it/s, loss=0.0815, rank=0.0435, reg=0.0380]
train epoch 1/1:   2%|▏         | 261/10792 [01:47<1:02:40,  2.80it/s, loss=0.0815, rank=0.0435, reg=0.0380]
train epoch 1/1:   2%|▏         | 261/10792 [01:47<1:02:40,  2.80it/s, loss=0.2910, rank=0.0151, reg=0.2758]
train epoch 1/1:   2%|▏         | 262/10792 [01:47<1:12:41,  2.41it/s, loss=0.2910, rank=0.0151, reg=0.2758]
train epoch 1/1:   2%|▏         | 262/10792 [01:48<1:12:41,  2.41it/s, loss=0.1518, rank=0.0631, reg=0.0887]
train epoch 1/1:   2%|▏         | 263/10792 [01:48<1:13:43,  2.38it/s, loss=0.1518, rank=0.0631, reg=0.0887]
train epoch 1/1:   2%|▏         | 263/10792 [01:48<1:13:43,  2.38it/s, loss=0.1071, rank=0.0600, reg=0.0471]
train epoch 1/1:   2%|▏         | 264/10792 [01:48<1:10:23,  2.49it/s, loss=0.1071, rank=0.0600, reg=0.0471]
train epoch 1/1:   2%|▏         | 264/10792 [01:49<1:10:23,  2.49it/s, loss=0.0671, rank=0.0279, reg=0.0392]
train epoch 1/1:   2%|▏         | 265/10792 [01:49<1:39:41,  1.76it/s, loss=0.0671, rank=0.0279, reg=0.0392]
train epoch 1/1:   2%|▏         | 265/10792 [01:50<1:39:41,  1.76it/s, loss=0.1114, rank=0.0364, reg=0.0751]
train epoch 1/1:   2%|▏         | 266/10792 [01:50<1:57:05,  1.50it/s, loss=0.1114, rank=0.0364, reg=0.0751]
train epoch 1/1:   2%|▏         | 266/10792 [01:51<1:57:05,  1.50it/s, loss=0.0996, rank=0.0471, reg=0.0524]
train epoch 1/1:   2%|▏         | 267/10792 [01:51<2:02:02,  1.44it/s, loss=0.0996, rank=0.0471, reg=0.0524]
train epoch 1/1:   2%|▏         | 267/10792 [01:51<2:02:02,  1.44it/s, loss=0.0982, rank=0.0616, reg=0.0365]
train epoch 1/1:   2%|▏         | 268/10792 [01:51<1:49:17,  1.60it/s, loss=0.0982, rank=0.0616, reg=0.0365]
train epoch 1/1:   2%|▏         | 268/10792 [01:51<1:49:17,  1.60it/s, loss=0.1486, rank=0.0492, reg=0.0994]
train epoch 1/1:   2%|▏         | 269/10792 [01:51<1:29:46,  1.95it/s, loss=0.1486, rank=0.0492, reg=0.0994]
train epoch 1/1:   2%|▏         | 269/10792 [01:52<1:29:46,  1.95it/s, loss=0.1475, rank=0.0435, reg=0.1040]
train epoch 1/1:   3%|▎         | 270/10792 [01:52<1:15:54,  2.31it/s, loss=0.1475, rank=0.0435, reg=0.1040]
train epoch 1/1:   3%|▎         | 270/10792 [01:52<1:15:54,  2.31it/s, loss=0.1154, rank=0.0764, reg=0.0391]
train epoch 1/1:   3%|▎         | 271/10792 [01:52<59:36,  2.94it/s, loss=0.1154, rank=0.0764, reg=0.0391]  
train epoch 1/1:   3%|▎         | 271/10792 [01:52<59:36,  2.94it/s, loss=0.2195, rank=0.0636, reg=0.1559]
train epoch 1/1:   3%|▎         | 272/10792 [01:52<57:42,  3.04it/s, loss=0.2195, rank=0.0636, reg=0.1559]
train epoch 1/1:   3%|▎         | 272/10792 [01:52<57:42,  3.04it/s, loss=0.1604, rank=0.0876, reg=0.0729]
train epoch 1/1:   3%|▎         | 273/10792 [01:52<57:04,  3.07it/s, loss=0.1604, rank=0.0876, reg=0.0729]
train epoch 1/1:   3%|▎         | 273/10792 [01:52<57:04,  3.07it/s, loss=0.1856, rank=0.0679, reg=0.1177]
train epoch 1/1:   3%|▎         | 274/10792 [01:52<48:56,  3.58it/s, loss=0.1856, rank=0.0679, reg=0.1177]
train epoch 1/1:   3%|▎         | 274/10792 [01:53<48:56,  3.58it/s, loss=0.0661, rank=0.0282, reg=0.0379]
train epoch 1/1:   3%|▎         | 275/10792 [01:53<58:44,  2.98it/s, loss=0.0661, rank=0.0282, reg=0.0379]
train epoch 1/1:   3%|▎         | 275/10792 [01:53<58:44,  2.98it/s, loss=0.0748, rank=0.0248, reg=0.0500]
train epoch 1/1:   3%|▎         | 276/10792 [01:53<52:55,  3.31it/s, loss=0.0748, rank=0.0248, reg=0.0500]
train epoch 1/1:   3%|▎         | 276/10792 [01:54<52:55,  3.31it/s, loss=0.1111, rank=0.0498, reg=0.0613]
train epoch 1/1:   3%|▎         | 277/10792 [01:54<1:06:32,  2.63it/s, loss=0.1111, rank=0.0498, reg=0.0613]
train epoch 1/1:   3%|▎         | 277/10792 [01:54<1:06:32,  2.63it/s, loss=0.1448, rank=0.0665, reg=0.0783]
train epoch 1/1:   3%|▎         | 278/10792 [01:54<59:57,  2.92it/s, loss=0.1448, rank=0.0665, reg=0.0783]  
train epoch 1/1:   3%|▎         | 278/10792 [01:55<59:57,  2.92it/s, loss=0.1500, rank=0.0464, reg=0.1037]
train epoch 1/1:   3%|▎         | 279/10792 [01:55<1:43:58,  1.69it/s, loss=0.1500, rank=0.0464, reg=0.1037]
train epoch 1/1:   3%|▎         | 279/10792 [01:55<1:43:58,  1.69it/s, loss=0.1008, rank=0.0751, reg=0.0257]
train epoch 1/1:   3%|▎         | 280/10792 [01:55<1:21:13,  2.16it/s, loss=0.1008, rank=0.0751, reg=0.0257]
train epoch 1/1:   3%|▎         | 280/10792 [01:56<1:21:13,  2.16it/s, loss=0.4924, rank=0.0642, reg=0.4282]
train epoch 1/1:   3%|▎         | 281/10792 [01:56<1:31:14,  1.92it/s, loss=0.4924, rank=0.0642, reg=0.4282]
train epoch 1/1:   3%|▎         | 281/10792 [01:56<1:31:14,  1.92it/s, loss=0.2303, rank=0.0466, reg=0.1837]
train epoch 1/1:   3%|▎         | 282/10792 [01:56<1:17:42,  2.25it/s, loss=0.2303, rank=0.0466, reg=0.1837]
train epoch 1/1:   3%|▎         | 282/10792 [01:57<1:17:42,  2.25it/s, loss=0.0534, rank=0.0160, reg=0.0375]
train epoch 1/1:   3%|▎         | 283/10792 [01:57<1:32:47,  1.89it/s, loss=0.0534, rank=0.0160, reg=0.0375]
train epoch 1/1:   3%|▎         | 283/10792 [01:57<1:32:47,  1.89it/s, loss=0.1301, rank=0.0391, reg=0.0911]
train epoch 1/1:   3%|▎         | 284/10792 [01:57<1:24:29,  2.07it/s, loss=0.1301, rank=0.0391, reg=0.0911]
train epoch 1/1:   3%|▎         | 284/10792 [01:58<1:24:29,  2.07it/s, loss=0.1319, rank=0.0370, reg=0.0950]
train epoch 1/1:   3%|▎         | 285/10792 [01:58<1:17:11,  2.27it/s, loss=0.1319, rank=0.0370, reg=0.0950]
train epoch 1/1:   3%|▎         | 285/10792 [01:58<1:17:11,  2.27it/s, loss=0.1170, rank=0.0463, reg=0.0707]
train epoch 1/1:   3%|▎         | 286/10792 [01:58<1:15:42,  2.31it/s, loss=0.1170, rank=0.0463, reg=0.0707]
train epoch 1/1:   3%|▎         | 286/10792 [01:59<1:15:42,  2.31it/s, loss=0.0721, rank=0.0248, reg=0.0473]
train epoch 1/1:   3%|▎         | 287/10792 [01:59<1:14:56,  2.34it/s, loss=0.0721, rank=0.0248, reg=0.0473]
train epoch 1/1:   3%|▎         | 287/10792 [01:59<1:14:56,  2.34it/s, loss=0.0777, rank=0.0465, reg=0.0312]
train epoch 1/1:   3%|▎         | 288/10792 [01:59<1:04:11,  2.73it/s, loss=0.0777, rank=0.0465, reg=0.0312]
train epoch 1/1:   3%|▎         | 288/10792 [01:59<1:04:11,  2.73it/s, loss=0.1568, rank=0.0647, reg=0.0921]
train epoch 1/1:   3%|▎         | 289/10792 [01:59<1:14:50,  2.34it/s, loss=0.1568, rank=0.0647, reg=0.0921]
train epoch 1/1:   3%|▎         | 289/10792 [02:00<1:14:50,  2.34it/s, loss=0.1002, rank=0.0362, reg=0.0641]
train epoch 1/1:   3%|▎         | 290/10792 [02:00<1:30:52,  1.93it/s, loss=0.1002, rank=0.0362, reg=0.0641]
train epoch 1/1:   3%|▎         | 290/10792 [02:00<1:30:52,  1.93it/s, loss=0.1419, rank=0.0386, reg=0.1033]
train epoch 1/1:   3%|▎         | 291/10792 [02:00<1:12:59,  2.40it/s, loss=0.1419, rank=0.0386, reg=0.1033]
train epoch 1/1:   3%|▎         | 291/10792 [02:01<1:12:59,  2.40it/s, loss=0.0636, rank=0.0210, reg=0.0426]
train epoch 1/1:   3%|▎         | 292/10792 [02:01<1:25:56,  2.04it/s, loss=0.0636, rank=0.0210, reg=0.0426]
train epoch 1/1:   3%|▎         | 292/10792 [02:01<1:25:56,  2.04it/s, loss=0.0820, rank=0.0275, reg=0.0545]
train epoch 1/1:   3%|▎         | 293/10792 [02:01<1:25:16,  2.05it/s, loss=0.0820, rank=0.0275, reg=0.0545]
train epoch 1/1:   3%|▎         | 293/10792 [02:02<1:25:16,  2.05it/s, loss=0.1406, rank=0.1012, reg=0.0394]
train epoch 1/1:   3%|▎         | 294/10792 [02:02<1:15:51,  2.31it/s, loss=0.1406, rank=0.1012, reg=0.0394]
train epoch 1/1:   3%|▎         | 294/10792 [02:02<1:15:51,  2.31it/s, loss=0.0850, rank=0.0410, reg=0.0440]
train epoch 1/1:   3%|▎         | 295/10792 [02:02<1:23:47,  2.09it/s, loss=0.0850, rank=0.0410, reg=0.0440]
train epoch 1/1:   3%|▎         | 295/10792 [02:03<1:23:47,  2.09it/s, loss=0.0779, rank=0.0154, reg=0.0625]
train epoch 1/1:   3%|▎         | 296/10792 [02:03<1:11:40,  2.44it/s, loss=0.0779, rank=0.0154, reg=0.0625]
train epoch 1/1:   3%|▎         | 296/10792 [02:03<1:11:40,  2.44it/s, loss=0.1062, rank=0.0585, reg=0.0478]
train epoch 1/1:   3%|▎         | 297/10792 [02:03<1:06:36,  2.63it/s, loss=0.1062, rank=0.0585, reg=0.0478]
train epoch 1/1:   3%|▎         | 297/10792 [02:03<1:06:36,  2.63it/s, loss=0.1091, rank=0.0491, reg=0.0601]
train epoch 1/1:   3%|▎         | 298/10792 [02:03<1:05:39,  2.66it/s, loss=0.1091, rank=0.0491, reg=0.0601]
train epoch 1/1:   3%|▎         | 298/10792 [02:03<1:05:39,  2.66it/s, loss=0.0586, rank=0.0352, reg=0.0233]
train epoch 1/1:   3%|▎         | 299/10792 [02:03<54:01,  3.24it/s, loss=0.0586, rank=0.0352, reg=0.0233]  
train epoch 1/1:   3%|▎         | 299/10792 [02:04<54:01,  3.24it/s, loss=0.1192, rank=0.0560, reg=0.0632]
train epoch 1/1:   3%|▎         | 300/10792 [02:04<47:30,  3.68it/s, loss=0.1192, rank=0.0560, reg=0.0632]
train epoch 1/1:   3%|▎         | 300/10792 [02:04<47:30,  3.68it/s, loss=0.1460, rank=0.0911, reg=0.0548]
train epoch 1/1:   3%|▎         | 301/10792 [02:04<1:15:29,  2.32it/s, loss=0.1460, rank=0.0911, reg=0.0548]
train epoch 1/1:   3%|▎         | 301/10792 [02:05<1:15:29,  2.32it/s, loss=0.0866, rank=0.0273, reg=0.0593]
train epoch 1/1:   3%|▎         | 302/10792 [02:05<1:23:48,  2.09it/s, loss=0.0866, rank=0.0273, reg=0.0593]
train epoch 1/1:   3%|▎         | 302/10792 [02:06<1:23:48,  2.09it/s, loss=0.0898, rank=0.0599, reg=0.0300]
train epoch 1/1:   3%|▎         | 303/10792 [02:06<1:55:44,  1.51it/s, loss=0.0898, rank=0.0599, reg=0.0300]
train epoch 1/1:   3%|▎         | 303/10792 [02:07<1:55:44,  1.51it/s, loss=0.0519, rank=0.0057, reg=0.0461]
train epoch 1/1:   3%|▎         | 304/10792 [02:07<2:01:18,  1.44it/s, loss=0.0519, rank=0.0057, reg=0.0461]
train epoch 1/1:   3%|▎         | 304/10792 [02:07<2:01:18,  1.44it/s, loss=0.1045, rank=0.0501, reg=0.0543]
train epoch 1/1:   3%|▎         | 305/10792 [02:07<1:41:12,  1.73it/s, loss=0.1045, rank=0.0501, reg=0.0543]
train epoch 1/1:   3%|▎         | 305/10792 [02:08<1:41:12,  1.73it/s, loss=0.0851, rank=0.0427, reg=0.0424]
train epoch 1/1:   3%|▎         | 306/10792 [02:08<1:53:20,  1.54it/s, loss=0.0851, rank=0.0427, reg=0.0424]
train epoch 1/1:   3%|▎         | 306/10792 [02:09<1:53:20,  1.54it/s, loss=0.1032, rank=0.0870, reg=0.0162]
train epoch 1/1:   3%|▎         | 307/10792 [02:09<2:06:37,  1.38it/s, loss=0.1032, rank=0.0870, reg=0.0162]
train epoch 1/1:   3%|▎         | 307/10792 [02:09<2:06:37,  1.38it/s, loss=0.0785, rank=0.0522, reg=0.0264]
train epoch 1/1:   3%|▎         | 308/10792 [02:09<1:56:29,  1.50it/s, loss=0.0785, rank=0.0522, reg=0.0264]
train epoch 1/1:   3%|▎         | 308/10792 [02:10<1:56:29,  1.50it/s, loss=0.0925, rank=0.0311, reg=0.0614]
train epoch 1/1:   3%|▎         | 309/10792 [02:10<1:58:42,  1.47it/s, loss=0.0925, rank=0.0311, reg=0.0614]
train epoch 1/1:   3%|▎         | 309/10792 [02:11<1:58:42,  1.47it/s, loss=0.1005, rank=0.0753, reg=0.0252]
train epoch 1/1:   3%|▎         | 310/10792 [02:11<1:47:35,  1.62it/s, loss=0.1005, rank=0.0753, reg=0.0252]
train epoch 1/1:   3%|▎         | 310/10792 [02:11<1:47:35,  1.62it/s, loss=0.1420, rank=0.0382, reg=0.1038]
train epoch 1/1:   3%|▎         | 311/10792 [02:11<1:25:20,  2.05it/s, loss=0.1420, rank=0.0382, reg=0.1038]
train epoch 1/1:   3%|▎         | 311/10792 [02:11<1:25:20,  2.05it/s, loss=0.1274, rank=0.0474, reg=0.0801]
train epoch 1/1:   3%|▎         | 312/10792 [02:11<1:12:32,  2.41it/s, loss=0.1274, rank=0.0474, reg=0.0801]
train epoch 1/1:   3%|▎         | 312/10792 [02:11<1:12:32,  2.41it/s, loss=0.0797, rank=0.0359, reg=0.0438]
train epoch 1/1:   3%|▎         | 313/10792 [02:11<1:04:52,  2.69it/s, loss=0.0797, rank=0.0359, reg=0.0438]
train epoch 1/1:   3%|▎         | 313/10792 [02:12<1:04:52,  2.69it/s, loss=0.1501, rank=0.0402, reg=0.1098]
train epoch 1/1:   3%|▎         | 314/10792 [02:12<1:02:01,  2.82it/s, loss=0.1501, rank=0.0402, reg=0.1098]
train epoch 1/1:   3%|▎         | 314/10792 [02:12<1:02:01,  2.82it/s, loss=0.0823, rank=0.0600, reg=0.0223]
train epoch 1/1:   3%|▎         | 315/10792 [02:12<58:07,  3.00it/s, loss=0.0823, rank=0.0600, reg=0.0223]  
train epoch 1/1:   3%|▎         | 315/10792 [02:12<58:07,  3.00it/s, loss=0.0579, rank=0.0364, reg=0.0215]
train epoch 1/1:   3%|▎         | 316/10792 [02:12<1:11:20,  2.45it/s, loss=0.0579, rank=0.0364, reg=0.0215]
train epoch 1/1:   3%|▎         | 316/10792 [02:13<1:11:20,  2.45it/s, loss=0.1012, rank=0.0454, reg=0.0558]
train epoch 1/1:   3%|▎         | 317/10792 [02:13<59:04,  2.96it/s, loss=0.1012, rank=0.0454, reg=0.0558]  
train epoch 1/1:   3%|▎         | 317/10792 [02:14<59:04,  2.96it/s, loss=0.1027, rank=0.0473, reg=0.0554]
train epoch 1/1:   3%|▎         | 318/10792 [02:14<1:29:31,  1.95it/s, loss=0.1027, rank=0.0473, reg=0.0554]
train epoch 1/1:   3%|▎         | 318/10792 [02:14<1:29:31,  1.95it/s, loss=0.1401, rank=0.0312, reg=0.1089]
train epoch 1/1:   3%|▎         | 319/10792 [02:14<1:10:30,  2.48it/s, loss=0.1401, rank=0.0312, reg=0.1089]
train epoch 1/1:   3%|▎         | 319/10792 [02:14<1:10:30,  2.48it/s, loss=0.1033, rank=0.0607, reg=0.0426]
train epoch 1/1:   3%|▎         | 320/10792 [02:14<1:17:46,  2.24it/s, loss=0.1033, rank=0.0607, reg=0.0426]
train epoch 1/1:   3%|▎         | 320/10792 [02:14<1:17:46,  2.24it/s, loss=0.1054, rank=0.0541, reg=0.0514]
train epoch 1/1:   3%|▎         | 321/10792 [02:14<1:06:23,  2.63it/s, loss=0.1054, rank=0.0541, reg=0.0514]
train epoch 1/1:   3%|▎         | 321/10792 [02:15<1:06:23,  2.63it/s, loss=0.0679, rank=0.0426, reg=0.0253]
train epoch 1/1:   3%|▎         | 322/10792 [02:15<1:00:40,  2.88it/s, loss=0.0679, rank=0.0426, reg=0.0253]
train epoch 1/1:   3%|▎         | 322/10792 [02:15<1:00:40,  2.88it/s, loss=0.1472, rank=0.0602, reg=0.0870]
train epoch 1/1:   3%|▎         | 323/10792 [02:15<54:01,  3.23it/s, loss=0.1472, rank=0.0602, reg=0.0870]  
train epoch 1/1:   3%|▎         | 323/10792 [02:15<54:01,  3.23it/s, loss=0.0834, rank=0.0586, reg=0.0247]
train epoch 1/1:   3%|▎         | 324/10792 [02:15<47:42,  3.66it/s, loss=0.0834, rank=0.0586, reg=0.0247]
train epoch 1/1:   3%|▎         | 324/10792 [02:16<47:42,  3.66it/s, loss=0.1371, rank=0.0595, reg=0.0776]
train epoch 1/1:   3%|▎         | 325/10792 [02:16<1:10:52,  2.46it/s, loss=0.1371, rank=0.0595, reg=0.0776]
train epoch 1/1:   3%|▎         | 325/10792 [02:16<1:10:52,  2.46it/s, loss=0.0990, rank=0.0723, reg=0.0268]
train epoch 1/1:   3%|▎         | 326/10792 [02:16<1:09:55,  2.49it/s, loss=0.0990, rank=0.0723, reg=0.0268]
train epoch 1/1:   3%|▎         | 326/10792 [02:17<1:09:55,  2.49it/s, loss=0.1763, rank=0.0696, reg=0.1068]
train epoch 1/1:   3%|▎         | 327/10792 [02:17<1:04:32,  2.70it/s, loss=0.1763, rank=0.0696, reg=0.1068]
train epoch 1/1:   3%|▎         | 327/10792 [02:17<1:04:32,  2.70it/s, loss=0.1037, rank=0.0447, reg=0.0591]
train epoch 1/1:   3%|▎         | 328/10792 [02:17<1:01:34,  2.83it/s, loss=0.1037, rank=0.0447, reg=0.0591]
train epoch 1/1:   3%|▎         | 328/10792 [02:17<1:01:34,  2.83it/s, loss=0.1318, rank=0.0761, reg=0.0557]
train epoch 1/1:   3%|▎         | 329/10792 [02:17<1:01:54,  2.82it/s, loss=0.1318, rank=0.0761, reg=0.0557]
train epoch 1/1:   3%|▎         | 329/10792 [02:18<1:01:54,  2.82it/s, loss=0.0919, rank=0.0162, reg=0.0757]
train epoch 1/1:   3%|▎         | 330/10792 [02:18<1:01:59,  2.81it/s, loss=0.0919, rank=0.0162, reg=0.0757]
train epoch 1/1:   3%|▎         | 330/10792 [02:18<1:01:59,  2.81it/s, loss=0.1108, rank=0.0668, reg=0.0440]
train epoch 1/1:   3%|▎         | 331/10792 [02:18<51:15,  3.40it/s, loss=0.1108, rank=0.0668, reg=0.0440]  
train epoch 1/1:   3%|▎         | 331/10792 [02:18<51:15,  3.40it/s, loss=0.0986, rank=0.0719, reg=0.0267]
train epoch 1/1:   3%|▎         | 332/10792 [02:18<51:50,  3.36it/s, loss=0.0986, rank=0.0719, reg=0.0267]
train epoch 1/1:   3%|▎         | 332/10792 [02:18<51:50,  3.36it/s, loss=0.1010, rank=0.0450, reg=0.0560]
train epoch 1/1:   3%|▎         | 333/10792 [02:18<1:02:41,  2.78it/s, loss=0.1010, rank=0.0450, reg=0.0560]
train epoch 1/1:   3%|▎         | 333/10792 [02:19<1:02:41,  2.78it/s, loss=0.1173, rank=0.0570, reg=0.0604]
train epoch 1/1:   3%|▎         | 334/10792 [02:19<57:03,  3.05it/s, loss=0.1173, rank=0.0570, reg=0.0604]  
train epoch 1/1:   3%|▎         | 334/10792 [02:19<57:03,  3.05it/s, loss=0.1310, rank=0.0507, reg=0.0803]
train epoch 1/1:   3%|▎         | 335/10792 [02:19<1:17:14,  2.26it/s, loss=0.1310, rank=0.0507, reg=0.0803]
train epoch 1/1:   3%|▎         | 335/10792 [02:20<1:17:14,  2.26it/s, loss=0.0799, rank=0.0201, reg=0.0597]
train epoch 1/1:   3%|▎         | 336/10792 [02:20<1:27:54,  1.98it/s, loss=0.0799, rank=0.0201, reg=0.0597]
train epoch 1/1:   3%|▎         | 336/10792 [02:21<1:27:54,  1.98it/s, loss=0.1057, rank=0.0536, reg=0.0521]
train epoch 1/1:   3%|▎         | 337/10792 [02:21<1:40:06,  1.74it/s, loss=0.1057, rank=0.0536, reg=0.0521]
train epoch 1/1:   3%|▎         | 337/10792 [02:21<1:40:06,  1.74it/s, loss=0.1738, rank=0.0954, reg=0.0784]
train epoch 1/1:   3%|▎         | 338/10792 [02:21<1:17:40,  2.24it/s, loss=0.1738, rank=0.0954, reg=0.0784]
train epoch 1/1:   3%|▎         | 338/10792 [02:21<1:17:40,  2.24it/s, loss=0.1023, rank=0.0301, reg=0.0722]
train epoch 1/1:   3%|▎         | 339/10792 [02:21<1:11:13,  2.45it/s, loss=0.1023, rank=0.0301, reg=0.0722]
train epoch 1/1:   3%|▎         | 339/10792 [02:21<1:11:13,  2.45it/s, loss=0.1070, rank=0.0519, reg=0.0550]
train epoch 1/1:   3%|▎         | 340/10792 [02:21<55:45,  3.12it/s, loss=0.1070, rank=0.0519, reg=0.0550]  
train epoch 1/1:   3%|▎         | 340/10792 [02:22<55:45,  3.12it/s, loss=0.1214, rank=0.0719, reg=0.0496]
train epoch 1/1:   3%|▎         | 341/10792 [02:22<1:00:21,  2.89it/s, loss=0.1214, rank=0.0719, reg=0.0496]
train epoch 1/1:   3%|▎         | 341/10792 [02:22<1:00:21,  2.89it/s, loss=0.0631, rank=0.0436, reg=0.0196]
train epoch 1/1:   3%|▎         | 342/10792 [02:22<49:33,  3.51it/s, loss=0.0631, rank=0.0436, reg=0.0196]  
train epoch 1/1:   3%|▎         | 342/10792 [02:23<49:33,  3.51it/s, loss=0.0476, rank=0.0208, reg=0.0268]
train epoch 1/1:   3%|▎         | 343/10792 [02:23<1:06:53,  2.60it/s, loss=0.0476, rank=0.0208, reg=0.0268]
train epoch 1/1:   3%|▎         | 343/10792 [02:23<1:06:53,  2.60it/s, loss=0.1109, rank=0.0316, reg=0.0793]
train epoch 1/1:   3%|▎         | 344/10792 [02:23<57:26,  3.03it/s, loss=0.1109, rank=0.0316, reg=0.0793]  
train epoch 1/1:   3%|▎         | 344/10792 [02:23<57:26,  3.03it/s, loss=0.0833, rank=0.0512, reg=0.0321]
train epoch 1/1:   3%|▎         | 345/10792 [02:23<52:52,  3.29it/s, loss=0.0833, rank=0.0512, reg=0.0321]
train epoch 1/1:   3%|▎         | 345/10792 [02:24<52:52,  3.29it/s, loss=0.0686, rank=0.0397, reg=0.0289]
train epoch 1/1:   3%|▎         | 346/10792 [02:24<1:16:55,  2.26it/s, loss=0.0686, rank=0.0397, reg=0.0289]
train epoch 1/1:   3%|▎         | 346/10792 [02:24<1:16:55,  2.26it/s, loss=0.0420, rank=0.0139, reg=0.0281]
train epoch 1/1:   3%|▎         | 347/10792 [02:24<1:04:59,  2.68it/s, loss=0.0420, rank=0.0139, reg=0.0281]
train epoch 1/1:   3%|▎         | 347/10792 [02:24<1:04:59,  2.68it/s, loss=0.0723, rank=0.0266, reg=0.0456]
train epoch 1/1:   3%|▎         | 348/10792 [02:24<1:04:06,  2.72it/s, loss=0.0723, rank=0.0266, reg=0.0456]
train epoch 1/1:   3%|▎         | 348/10792 [02:25<1:04:06,  2.72it/s, loss=0.0835, rank=0.0432, reg=0.0403]
train epoch 1/1:   3%|▎         | 349/10792 [02:25<58:37,  2.97it/s, loss=0.0835, rank=0.0432, reg=0.0403]  
train epoch 1/1:   3%|▎         | 349/10792 [02:25<58:37,  2.97it/s, loss=0.0905, rank=0.0573, reg=0.0333]
train epoch 1/1:   3%|▎         | 350/10792 [02:25<1:13:38,  2.36it/s, loss=0.0905, rank=0.0573, reg=0.0333]
train epoch 1/1:   3%|▎         | 350/10792 [02:26<1:13:38,  2.36it/s, loss=0.1116, rank=0.0713, reg=0.0403]
train epoch 1/1:   3%|▎         | 351/10792 [02:26<1:05:11,  2.67it/s, loss=0.1116, rank=0.0713, reg=0.0403]
train epoch 1/1:   3%|▎         | 351/10792 [02:26<1:05:11,  2.67it/s, loss=0.0837, rank=0.0449, reg=0.0387]
train epoch 1/1:   3%|▎         | 352/10792 [02:26<1:02:59,  2.76it/s, loss=0.0837, rank=0.0449, reg=0.0387]
train epoch 1/1:   3%|▎         | 352/10792 [02:27<1:02:59,  2.76it/s, loss=0.0844, rank=0.0502, reg=0.0342]
train epoch 1/1:   3%|▎         | 353/10792 [02:27<1:19:41,  2.18it/s, loss=0.0844, rank=0.0502, reg=0.0342]
train epoch 1/1:   3%|▎         | 353/10792 [02:27<1:19:41,  2.18it/s, loss=0.0874, rank=0.0493, reg=0.0381]
train epoch 1/1:   3%|▎         | 354/10792 [02:27<1:25:43,  2.03it/s, loss=0.0874, rank=0.0493, reg=0.0381]
train epoch 1/1:   3%|▎         | 354/10792 [02:27<1:25:43,  2.03it/s, loss=0.0906, rank=0.0353, reg=0.0553]
train epoch 1/1:   3%|▎         | 355/10792 [02:27<1:12:55,  2.39it/s, loss=0.0906, rank=0.0353, reg=0.0553]
train epoch 1/1:   3%|▎         | 355/10792 [02:28<1:12:55,  2.39it/s, loss=0.1729, rank=0.0802, reg=0.0926]
train epoch 1/1:   3%|▎         | 356/10792 [02:28<1:01:08,  2.84it/s, loss=0.1729, rank=0.0802, reg=0.0926]
train epoch 1/1:   3%|▎         | 356/10792 [02:28<1:01:08,  2.84it/s, loss=0.0899, rank=0.0612, reg=0.0286]
train epoch 1/1:   3%|▎         | 357/10792 [02:28<1:02:05,  2.80it/s, loss=0.0899, rank=0.0612, reg=0.0286]
train epoch 1/1:   3%|▎         | 357/10792 [02:28<1:02:05,  2.80it/s, loss=0.0804, rank=0.0401, reg=0.0403]
train epoch 1/1:   3%|▎         | 358/10792 [02:28<1:04:43,  2.69it/s, loss=0.0804, rank=0.0401, reg=0.0403]
train epoch 1/1:   3%|▎         | 358/10792 [02:28<1:04:43,  2.69it/s, loss=0.1360, rank=0.0425, reg=0.0935]
train epoch 1/1:   3%|▎         | 359/10792 [02:28<52:51,  3.29it/s, loss=0.1360, rank=0.0425, reg=0.0935]  
train epoch 1/1:   3%|▎         | 359/10792 [02:29<52:51,  3.29it/s, loss=0.0966, rank=0.0715, reg=0.0251]
train epoch 1/1:   3%|▎         | 360/10792 [02:29<51:32,  3.37it/s, loss=0.0966, rank=0.0715, reg=0.0251]
train epoch 1/1:   3%|▎         | 360/10792 [02:29<51:32,  3.37it/s, loss=0.0693, rank=0.0227, reg=0.0465]
train epoch 1/1:   3%|▎         | 361/10792 [02:29<50:50,  3.42it/s, loss=0.0693, rank=0.0227, reg=0.0465]
train epoch 1/1:   3%|▎         | 361/10792 [02:29<50:50,  3.42it/s, loss=0.1179, rank=0.0384, reg=0.0796]
train epoch 1/1:   3%|▎         | 362/10792 [02:29<53:02,  3.28it/s, loss=0.1179, rank=0.0384, reg=0.0796]
train epoch 1/1:   3%|▎         | 362/10792 [02:30<53:02,  3.28it/s, loss=0.2658, rank=0.0767, reg=0.1892]
train epoch 1/1:   3%|▎         | 363/10792 [02:30<45:48,  3.79it/s, loss=0.2658, rank=0.0767, reg=0.1892]
train epoch 1/1:   3%|▎         | 363/10792 [02:30<45:48,  3.79it/s, loss=0.0631, rank=0.0408, reg=0.0223]
train epoch 1/1:   3%|▎         | 364/10792 [02:30<56:19,  3.09it/s, loss=0.0631, rank=0.0408, reg=0.0223]
train epoch 1/1:   3%|▎         | 364/10792 [02:30<56:19,  3.09it/s, loss=0.0766, rank=0.0464, reg=0.0302]
train epoch 1/1:   3%|▎         | 365/10792 [02:30<48:03,  3.62it/s, loss=0.0766, rank=0.0464, reg=0.0302]
train epoch 1/1:   3%|▎         | 365/10792 [02:30<48:03,  3.62it/s, loss=0.1094, rank=0.0663, reg=0.0432]
train epoch 1/1:   3%|▎         | 366/10792 [02:30<42:33,  4.08it/s, loss=0.1094, rank=0.0663, reg=0.0432]
train epoch 1/1:   3%|▎         | 366/10792 [02:31<42:33,  4.08it/s, loss=0.0711, rank=0.0466, reg=0.0245]
train epoch 1/1:   3%|▎         | 367/10792 [02:31<45:43,  3.80it/s, loss=0.0711, rank=0.0466, reg=0.0245]
train epoch 1/1:   3%|▎         | 367/10792 [02:31<45:43,  3.80it/s, loss=0.0293, rank=0.0117, reg=0.0176]
train epoch 1/1:   3%|▎         | 368/10792 [02:31<1:04:50,  2.68it/s, loss=0.0293, rank=0.0117, reg=0.0176]
train epoch 1/1:   3%|▎         | 368/10792 [02:32<1:04:50,  2.68it/s, loss=0.0995, rank=0.0730, reg=0.0264]
train epoch 1/1:   3%|▎         | 369/10792 [02:32<1:11:26,  2.43it/s, loss=0.0995, rank=0.0730, reg=0.0264]
train epoch 1/1:   3%|▎         | 369/10792 [02:32<1:11:26,  2.43it/s, loss=0.1614, rank=0.0803, reg=0.0811]
train epoch 1/1:   3%|▎         | 370/10792 [02:32<59:34,  2.92it/s, loss=0.1614, rank=0.0803, reg=0.0811]  
train epoch 1/1:   3%|▎         | 370/10792 [02:32<59:34,  2.92it/s, loss=0.0863, rank=0.0414, reg=0.0449]
train epoch 1/1:   3%|▎         | 371/10792 [02:32<1:00:44,  2.86it/s, loss=0.0863, rank=0.0414, reg=0.0449]
train epoch 1/1:   3%|▎         | 371/10792 [02:33<1:00:44,  2.86it/s, loss=0.2165, rank=0.0864, reg=0.1301]
train epoch 1/1:   3%|▎         | 372/10792 [02:33<54:23,  3.19it/s, loss=0.2165, rank=0.0864, reg=0.1301]  
train epoch 1/1:   3%|▎         | 372/10792 [02:33<54:23,  3.19it/s, loss=0.1807, rank=0.0902, reg=0.0904]
train epoch 1/1:   3%|▎         | 373/10792 [02:33<46:23,  3.74it/s, loss=0.1807, rank=0.0902, reg=0.0904]
train epoch 1/1:   3%|▎         | 373/10792 [02:33<46:23,  3.74it/s, loss=0.0685, rank=0.0411, reg=0.0274]
train epoch 1/1:   3%|▎         | 374/10792 [02:33<1:06:48,  2.60it/s, loss=0.0685, rank=0.0411, reg=0.0274]
train epoch 1/1:   3%|▎         | 374/10792 [02:34<1:06:48,  2.60it/s, loss=0.1258, rank=0.0413, reg=0.0845]
train epoch 1/1:   3%|▎         | 375/10792 [02:34<1:06:52,  2.60it/s, loss=0.1258, rank=0.0413, reg=0.0845]
train epoch 1/1:   3%|▎         | 375/10792 [02:34<1:06:52,  2.60it/s, loss=0.0562, rank=0.0138, reg=0.0424]
train epoch 1/1:   3%|▎         | 376/10792 [02:34<57:31,  3.02it/s, loss=0.0562, rank=0.0138, reg=0.0424]  
train epoch 1/1:   3%|▎         | 376/10792 [02:34<57:31,  3.02it/s, loss=0.0555, rank=0.0396, reg=0.0159]
train epoch 1/1:   3%|▎         | 377/10792 [02:34<52:20,  3.32it/s, loss=0.0555, rank=0.0396, reg=0.0159]
train epoch 1/1:   3%|▎         | 377/10792 [02:35<52:20,  3.32it/s, loss=0.0536, rank=0.0397, reg=0.0139]
train epoch 1/1:   4%|▎         | 378/10792 [02:35<1:03:09,  2.75it/s, loss=0.0536, rank=0.0397, reg=0.0139]
train epoch 1/1:   4%|▎         | 378/10792 [02:35<1:03:09,  2.75it/s, loss=0.1200, rank=0.0536, reg=0.0664]
train epoch 1/1:   4%|▎         | 379/10792 [02:35<59:26,  2.92it/s, loss=0.1200, rank=0.0536, reg=0.0664]  
train epoch 1/1:   4%|▎         | 379/10792 [02:35<59:26,  2.92it/s, loss=0.0727, rank=0.0514, reg=0.0213]
train epoch 1/1:   4%|▎         | 380/10792 [02:35<51:50,  3.35it/s, loss=0.0727, rank=0.0514, reg=0.0213]
train epoch 1/1:   4%|▎         | 380/10792 [02:36<51:50,  3.35it/s, loss=0.0857, rank=0.0318, reg=0.0539]
train epoch 1/1:   4%|▎         | 381/10792 [02:36<52:33,  3.30it/s, loss=0.0857, rank=0.0318, reg=0.0539]
train epoch 1/1:   4%|▎         | 381/10792 [02:36<52:33,  3.30it/s, loss=0.1312, rank=0.0534, reg=0.0778]
train epoch 1/1:   4%|▎         | 382/10792 [02:36<48:32,  3.57it/s, loss=0.1312, rank=0.0534, reg=0.0778]
train epoch 1/1:   4%|▎         | 382/10792 [02:36<48:32,  3.57it/s, loss=0.0672, rank=0.0154, reg=0.0518]
train epoch 1/1:   4%|▎         | 383/10792 [02:36<55:15,  3.14it/s, loss=0.0672, rank=0.0154, reg=0.0518]
train epoch 1/1:   4%|▎         | 383/10792 [02:36<55:15,  3.14it/s, loss=0.0530, rank=0.0263, reg=0.0267]
train epoch 1/1:   4%|▎         | 384/10792 [02:36<53:16,  3.26it/s, loss=0.0530, rank=0.0263, reg=0.0267]
train epoch 1/1:   4%|▎         | 384/10792 [02:37<53:16,  3.26it/s, loss=0.1085, rank=0.0381, reg=0.0705]
train epoch 1/1:   4%|▎         | 385/10792 [02:37<1:16:48,  2.26it/s, loss=0.1085, rank=0.0381, reg=0.0705]
train epoch 1/1:   4%|▎         | 385/10792 [02:37<1:16:48,  2.26it/s, loss=0.1267, rank=0.0214, reg=0.1054]
train epoch 1/1:   4%|▎         | 386/10792 [02:37<1:06:32,  2.61it/s, loss=0.1267, rank=0.0214, reg=0.1054]
train epoch 1/1:   4%|▎         | 386/10792 [02:38<1:06:32,  2.61it/s, loss=0.1100, rank=0.0262, reg=0.0838]
train epoch 1/1:   4%|▎         | 387/10792 [02:38<1:07:34,  2.57it/s, loss=0.1100, rank=0.0262, reg=0.0838]
train epoch 1/1:   4%|▎         | 387/10792 [02:38<1:07:34,  2.57it/s, loss=0.0930, rank=0.0402, reg=0.0528]
train epoch 1/1:   4%|▎         | 388/10792 [02:38<1:06:26,  2.61it/s, loss=0.0930, rank=0.0402, reg=0.0528]
train epoch 1/1:   4%|▎         | 388/10792 [02:38<1:06:26,  2.61it/s, loss=0.1020, rank=0.0433, reg=0.0587]
train epoch 1/1:   4%|▎         | 389/10792 [02:38<1:00:46,  2.85it/s, loss=0.1020, rank=0.0433, reg=0.0587]
train epoch 1/1:   4%|▎         | 389/10792 [02:39<1:00:46,  2.85it/s, loss=0.0909, rank=0.0341, reg=0.0568]
train epoch 1/1:   4%|▎         | 390/10792 [02:39<54:40,  3.17it/s, loss=0.0909, rank=0.0341, reg=0.0568]  
train epoch 1/1:   4%|▎         | 390/10792 [02:39<54:40,  3.17it/s, loss=0.1114, rank=0.0620, reg=0.0495]
train epoch 1/1:   4%|▎         | 391/10792 [02:39<53:02,  3.27it/s, loss=0.1114, rank=0.0620, reg=0.0495]
train epoch 1/1:   4%|▎         | 391/10792 [02:39<53:02,  3.27it/s, loss=0.0909, rank=0.0267, reg=0.0642]
train epoch 1/1:   4%|▎         | 392/10792 [02:39<48:13,  3.59it/s, loss=0.0909, rank=0.0267, reg=0.0642]
train epoch 1/1:   4%|▎         | 392/10792 [02:40<48:13,  3.59it/s, loss=0.0581, rank=0.0286, reg=0.0295]
train epoch 1/1:   4%|▎         | 393/10792 [02:40<52:38,  3.29it/s, loss=0.0581, rank=0.0286, reg=0.0295]
train epoch 1/1:   4%|▎         | 393/10792 [02:40<52:38,  3.29it/s, loss=0.0622, rank=0.0218, reg=0.0404]
train epoch 1/1:   4%|▎         | 394/10792 [02:40<49:53,  3.47it/s, loss=0.0622, rank=0.0218, reg=0.0404]
train epoch 1/1:   4%|▎         | 394/10792 [02:40<49:53,  3.47it/s, loss=0.0955, rank=0.0623, reg=0.0331]
train epoch 1/1:   4%|▎         | 395/10792 [02:40<48:57,  3.54it/s, loss=0.0955, rank=0.0623, reg=0.0331]
train epoch 1/1:   4%|▎         | 395/10792 [02:40<48:57,  3.54it/s, loss=0.0935, rank=0.0481, reg=0.0454]
train epoch 1/1:   4%|▎         | 396/10792 [02:40<40:33,  4.27it/s, loss=0.0935, rank=0.0481, reg=0.0454]
train epoch 1/1:   4%|▎         | 396/10792 [02:41<40:33,  4.27it/s, loss=0.0605, rank=0.0313, reg=0.0292]
train epoch 1/1:   4%|▎         | 397/10792 [02:41<49:12,  3.52it/s, loss=0.0605, rank=0.0313, reg=0.0292]
train epoch 1/1:   4%|▎         | 397/10792 [02:41<49:12,  3.52it/s, loss=0.1211, rank=0.0582, reg=0.0629]
train epoch 1/1:   4%|▎         | 398/10792 [02:41<45:34,  3.80it/s, loss=0.1211, rank=0.0582, reg=0.0629]
train epoch 1/1:   4%|▎         | 398/10792 [02:41<45:34,  3.80it/s, loss=0.1490, rank=0.1168, reg=0.0322]
train epoch 1/1:   4%|▎         | 399/10792 [02:41<49:25,  3.50it/s, loss=0.1490, rank=0.1168, reg=0.0322]
train epoch 1/1:   4%|▎         | 399/10792 [02:42<49:25,  3.50it/s, loss=0.0684, rank=0.0423, reg=0.0261]
train epoch 1/1:   4%|▎         | 400/10792 [02:42<59:25,  2.91it/s, loss=0.0684, rank=0.0423, reg=0.0261]
train epoch 1/1:   4%|▎         | 400/10792 [02:42<59:25,  2.91it/s, loss=0.1284, rank=0.0796, reg=0.0488]
train epoch 1/1:   4%|▎         | 401/10792 [02:42<57:12,  3.03it/s, loss=0.1284, rank=0.0796, reg=0.0488]
train epoch 1/1:   4%|▎         | 401/10792 [02:43<57:12,  3.03it/s, loss=0.1025, rank=0.0232, reg=0.0793]
train epoch 1/1:   4%|▎         | 402/10792 [02:43<1:20:50,  2.14it/s, loss=0.1025, rank=0.0232, reg=0.0793]
train epoch 1/1:   4%|▎         | 402/10792 [02:43<1:20:50,  2.14it/s, loss=0.0952, rank=0.0672, reg=0.0280]
train epoch 1/1:   4%|▎         | 403/10792 [02:43<1:15:09,  2.30it/s, loss=0.0952, rank=0.0672, reg=0.0280]
train epoch 1/1:   4%|▎         | 403/10792 [02:43<1:15:09,  2.30it/s, loss=0.0558, rank=0.0355, reg=0.0203]
train epoch 1/1:   4%|▎         | 404/10792 [02:43<1:07:57,  2.55it/s, loss=0.0558, rank=0.0355, reg=0.0203]
train epoch 1/1:   4%|▎         | 404/10792 [02:44<1:07:57,  2.55it/s, loss=0.1459, rank=0.1102, reg=0.0356]
train epoch 1/1:   4%|▍         | 405/10792 [02:44<1:02:27,  2.77it/s, loss=0.1459, rank=0.1102, reg=0.0356]
train epoch 1/1:   4%|▍         | 405/10792 [02:44<1:02:27,  2.77it/s, loss=0.0947, rank=0.0743, reg=0.0204]
train epoch 1/1:   4%|▍         | 406/10792 [02:44<1:20:50,  2.14it/s, loss=0.0947, rank=0.0743, reg=0.0204]
train epoch 1/1:   4%|▍         | 406/10792 [02:45<1:20:50,  2.14it/s, loss=0.0964, rank=0.0407, reg=0.0558]
train epoch 1/1:   4%|▍         | 407/10792 [02:45<1:20:39,  2.15it/s, loss=0.0964, rank=0.0407, reg=0.0558]
train epoch 1/1:   4%|▍         | 407/10792 [02:45<1:20:39,  2.15it/s, loss=0.0733, rank=0.0548, reg=0.0184]
train epoch 1/1:   4%|▍         | 408/10792 [02:45<1:09:04,  2.51it/s, loss=0.0733, rank=0.0548, reg=0.0184]
train epoch 1/1:   4%|▍         | 408/10792 [02:45<1:09:04,  2.51it/s, loss=0.1024, rank=0.0731, reg=0.0293]
train epoch 1/1:   4%|▍         | 409/10792 [02:45<1:03:32,  2.72it/s, loss=0.1024, rank=0.0731, reg=0.0293]
train epoch 1/1:   4%|▍         | 409/10792 [02:46<1:03:32,  2.72it/s, loss=0.1086, rank=0.0682, reg=0.0404]
train epoch 1/1:   4%|▍         | 410/10792 [02:46<56:04,  3.09it/s, loss=0.1086, rank=0.0682, reg=0.0404]  
train epoch 1/1:   4%|▍         | 410/10792 [02:47<56:04,  3.09it/s, loss=0.0895, rank=0.0439, reg=0.0456]
train epoch 1/1:   4%|▍         | 411/10792 [02:47<1:31:29,  1.89it/s, loss=0.0895, rank=0.0439, reg=0.0456]
train epoch 1/1:   4%|▍         | 411/10792 [02:47<1:31:29,  1.89it/s, loss=0.0954, rank=0.0700, reg=0.0254]
train epoch 1/1:   4%|▍         | 412/10792 [02:47<1:13:12,  2.36it/s, loss=0.0954, rank=0.0700, reg=0.0254]
train epoch 1/1:   4%|▍         | 412/10792 [02:47<1:13:12,  2.36it/s, loss=0.1994, rank=0.0542, reg=0.1452]
train epoch 1/1:   4%|▍         | 413/10792 [02:47<1:02:37,  2.76it/s, loss=0.1994, rank=0.0542, reg=0.1452]
train epoch 1/1:   4%|▍         | 413/10792 [02:47<1:02:37,  2.76it/s, loss=0.0756, rank=0.0188, reg=0.0569]
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train epoch 1/1:   4%|▍         | 414/10792 [02:47<51:23,  3.37it/s, loss=0.0842, rank=0.0488, reg=0.0354]
train epoch 1/1:   4%|▍         | 415/10792 [02:47<44:38,  3.87it/s, loss=0.0842, rank=0.0488, reg=0.0354]
train epoch 1/1:   4%|▍         | 415/10792 [02:48<44:38,  3.87it/s, loss=0.1442, rank=0.0422, reg=0.1021]
train epoch 1/1:   4%|▍         | 416/10792 [02:48<1:04:37,  2.68it/s, loss=0.1442, rank=0.0422, reg=0.1021]
train epoch 1/1:   4%|▍         | 416/10792 [02:48<1:04:37,  2.68it/s, loss=0.1167, rank=0.0515, reg=0.0653]
train epoch 1/1:   4%|▍         | 417/10792 [02:48<56:07,  3.08it/s, loss=0.1167, rank=0.0515, reg=0.0653]  
train epoch 1/1:   4%|▍         | 417/10792 [02:49<56:07,  3.08it/s, loss=0.0601, rank=0.0307, reg=0.0294]
train epoch 1/1:   4%|▍         | 418/10792 [02:49<1:02:06,  2.78it/s, loss=0.0601, rank=0.0307, reg=0.0294]
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train epoch 1/1:   4%|▍         | 419/10792 [02:49<52:04,  3.32it/s, loss=0.1228, rank=0.0815, reg=0.0412]
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train epoch 1/1:   4%|▍         | 421/10792 [02:50<49:32,  3.49it/s, loss=0.0891, rank=0.0352, reg=0.0539]
train epoch 1/1:   4%|▍         | 422/10792 [02:50<48:59,  3.53it/s, loss=0.0891, rank=0.0352, reg=0.0539]
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train epoch 1/1:   4%|▍         | 431/10792 [02:54<59:01,  2.93it/s, loss=0.0624, rank=0.0367, reg=0.0257]
train epoch 1/1:   4%|▍         | 432/10792 [02:54<57:04,  3.02it/s, loss=0.0624, rank=0.0367, reg=0.0257]
train epoch 1/1:   4%|▍         | 432/10792 [02:55<57:04,  3.02it/s, loss=0.1339, rank=0.0620, reg=0.0719]
train epoch 1/1:   4%|▍         | 433/10792 [02:55<1:24:00,  2.06it/s, loss=0.1339, rank=0.0620, reg=0.0719]
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train epoch 1/1:   4%|▍         | 434/10792 [02:55<1:08:50,  2.51it/s, loss=0.1134, rank=0.0428, reg=0.0705]
train epoch 1/1:   4%|▍         | 434/10792 [02:55<1:08:50,  2.51it/s, loss=0.1010, rank=0.0495, reg=0.0515]
train epoch 1/1:   4%|▍         | 435/10792 [02:55<1:10:45,  2.44it/s, loss=0.1010, rank=0.0495, reg=0.0515]
train epoch 1/1:   4%|▍         | 435/10792 [02:56<1:10:45,  2.44it/s, loss=0.0767, rank=0.0125, reg=0.0642]
train epoch 1/1:   4%|▍         | 436/10792 [02:56<1:03:25,  2.72it/s, loss=0.0767, rank=0.0125, reg=0.0642]
train epoch 1/1:   4%|▍         | 436/10792 [02:56<1:03:25,  2.72it/s, loss=0.1505, rank=0.0885, reg=0.0621]
train epoch 1/1:   4%|▍         | 437/10792 [02:56<58:46,  2.94it/s, loss=0.1505, rank=0.0885, reg=0.0621]  
train epoch 1/1:   4%|▍         | 437/10792 [02:56<58:46,  2.94it/s, loss=0.1013, rank=0.0691, reg=0.0322]
train epoch 1/1:   4%|▍         | 438/10792 [02:56<57:23,  3.01it/s, loss=0.1013, rank=0.0691, reg=0.0322]
train epoch 1/1:   4%|▍         | 438/10792 [02:56<57:23,  3.01it/s, loss=0.1187, rank=0.0694, reg=0.0493]
train epoch 1/1:   4%|▍         | 439/10792 [02:56<51:54,  3.32it/s, loss=0.1187, rank=0.0694, reg=0.0493]
train epoch 1/1:   4%|▍         | 439/10792 [02:57<51:54,  3.32it/s, loss=0.1172, rank=0.0706, reg=0.0466]
train epoch 1/1:   4%|▍         | 440/10792 [02:57<52:42,  3.27it/s, loss=0.1172, rank=0.0706, reg=0.0466]
train epoch 1/1:   4%|▍         | 440/10792 [02:57<52:42,  3.27it/s, loss=0.0669, rank=0.0564, reg=0.0106]
train epoch 1/1:   4%|▍         | 441/10792 [02:57<51:18,  3.36it/s, loss=0.0669, rank=0.0564, reg=0.0106]
train epoch 1/1:   4%|▍         | 441/10792 [02:58<51:18,  3.36it/s, loss=0.2507, rank=0.0861, reg=0.1647]
train epoch 1/1:   4%|▍         | 442/10792 [02:58<1:18:47,  2.19it/s, loss=0.2507, rank=0.0861, reg=0.1647]
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train epoch 1/1:   4%|▍         | 443/10792 [02:58<1:05:23,  2.64it/s, loss=0.0806, rank=0.0443, reg=0.0363]
train epoch 1/1:   4%|▍         | 443/10792 [02:59<1:05:23,  2.64it/s, loss=0.0887, rank=0.0583, reg=0.0304]
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train epoch 1/1:   4%|▍         | 444/10792 [02:59<1:09:53,  2.47it/s, loss=0.1359, rank=0.0818, reg=0.0540]
train epoch 1/1:   4%|▍         | 445/10792 [02:59<1:00:58,  2.83it/s, loss=0.1359, rank=0.0818, reg=0.0540]
train epoch 1/1:   4%|▍         | 445/10792 [02:59<1:00:58,  2.83it/s, loss=0.0929, rank=0.0672, reg=0.0256]
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train epoch 1/1:   4%|▍         | 446/10792 [03:00<49:39,  3.47it/s, loss=0.0971, rank=0.0260, reg=0.0711]
train epoch 1/1:   4%|▍         | 447/10792 [03:00<1:10:15,  2.45it/s, loss=0.0971, rank=0.0260, reg=0.0711]
train epoch 1/1:   4%|▍         | 447/10792 [03:00<1:10:15,  2.45it/s, loss=0.0974, rank=0.0827, reg=0.0147]
train epoch 1/1:   4%|▍         | 448/10792 [03:00<55:21,  3.11it/s, loss=0.0974, rank=0.0827, reg=0.0147]  
train epoch 1/1:   4%|▍         | 448/10792 [03:00<55:21,  3.11it/s, loss=0.0941, rank=0.0549, reg=0.0392]
train epoch 1/1:   4%|▍         | 449/10792 [03:00<53:51,  3.20it/s, loss=0.0941, rank=0.0549, reg=0.0392]
train epoch 1/1:   4%|▍         | 449/10792 [03:00<53:51,  3.20it/s, loss=0.0847, rank=0.0532, reg=0.0315]
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train epoch 1/1:   4%|▍         | 451/10792 [03:01<51:26,  3.35it/s, loss=0.0823, rank=0.0526, reg=0.0297]
train epoch 1/1:   4%|▍         | 451/10792 [03:01<51:26,  3.35it/s, loss=0.1067, rank=0.0539, reg=0.0527]
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train epoch 1/1:   4%|▍         | 453/10792 [03:02<56:50,  3.03it/s, loss=0.0845, rank=0.0247, reg=0.0598]
train epoch 1/1:   4%|▍         | 454/10792 [03:02<1:12:52,  2.36it/s, loss=0.0845, rank=0.0247, reg=0.0598]
train epoch 1/1:   4%|▍         | 454/10792 [03:02<1:12:52,  2.36it/s, loss=0.2514, rank=0.0540, reg=0.1975]
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train epoch 1/1:   4%|▍         | 457/10792 [03:04<1:36:27,  1.79it/s, loss=0.0934, rank=0.0528, reg=0.0406]
train epoch 1/1:   4%|▍         | 457/10792 [03:05<1:36:27,  1.79it/s, loss=0.1307, rank=0.0464, reg=0.0843]
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train epoch 1/1:   4%|▍         | 466/10792 [03:09<1:16:41,  2.24it/s, loss=0.1160, rank=0.0478, reg=0.0682]
train epoch 1/1:   4%|▍         | 466/10792 [03:10<1:16:41,  2.24it/s, loss=0.0643, rank=0.0122, reg=0.0521]
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train epoch 1/1:   4%|▍         | 470/10792 [03:11<1:21:08,  2.12it/s, loss=0.0580, rank=0.0414, reg=0.0167]
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train epoch 1/1:   4%|▍         | 471/10792 [03:11<1:04:37,  2.66it/s, loss=0.1409, rank=0.0476, reg=0.0932]
train epoch 1/1:   4%|▍         | 471/10792 [03:12<1:04:37,  2.66it/s, loss=0.1006, rank=0.0727, reg=0.0279]
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train epoch 1/1:   4%|▍         | 476/10792 [03:13<57:35,  2.99it/s, loss=0.0901, rank=0.0829, reg=0.0072]  
train epoch 1/1:   4%|▍         | 476/10792 [03:14<57:35,  2.99it/s, loss=0.0710, rank=0.0160, reg=0.0550]
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train epoch 1/1:   4%|▍         | 478/10792 [03:14<1:15:20,  2.28it/s, loss=0.0464, rank=0.0196, reg=0.0268]
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train epoch 1/1:   4%|▍         | 483/10792 [03:17<58:14,  2.95it/s, loss=0.3048, rank=0.0231, reg=0.2817]
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train epoch 1/1:   5%|▍         | 507/10792 [03:28<50:04,  3.42it/s, loss=0.0364, rank=0.0121, reg=0.0243]
train epoch 1/1:   5%|▍         | 508/10792 [03:28<53:44,  3.19it/s, loss=0.0364, rank=0.0121, reg=0.0243]
train epoch 1/1:   5%|▍         | 508/10792 [03:29<53:44,  3.19it/s, loss=0.0799, rank=0.0708, reg=0.0092]
train epoch 1/1:   5%|▍         | 509/10792 [03:29<1:16:23,  2.24it/s, loss=0.0799, rank=0.0708, reg=0.0092]
train epoch 1/1:   5%|▍         | 509/10792 [03:30<1:16:23,  2.24it/s, loss=0.0998, rank=0.0316, reg=0.0682]
train epoch 1/1:   5%|▍         | 510/10792 [03:30<1:31:42,  1.87it/s, loss=0.0998, rank=0.0316, reg=0.0682]
train epoch 1/1:   5%|▍         | 510/10792 [03:30<1:31:42,  1.87it/s, loss=0.1720, rank=0.0865, reg=0.0855]
train epoch 1/1:   5%|▍         | 511/10792 [03:30<1:43:00,  1.66it/s, loss=0.1720, rank=0.0865, reg=0.0855]
train epoch 1/1:   5%|▍         | 511/10792 [03:31<1:43:00,  1.66it/s, loss=0.1417, rank=0.0664, reg=0.0754]
train epoch 1/1:   5%|▍         | 512/10792 [03:31<1:24:47,  2.02it/s, loss=0.1417, rank=0.0664, reg=0.0754]
train epoch 1/1:   5%|▍         | 512/10792 [03:32<1:24:47,  2.02it/s, loss=0.0871, rank=0.0459, reg=0.0413]
train epoch 1/1:   5%|▍         | 513/10792 [03:32<1:49:03,  1.57it/s, loss=0.0871, rank=0.0459, reg=0.0413]
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train epoch 1/1:   5%|▍         | 521/10792 [03:34<1:03:46,  2.68it/s, loss=0.0884, rank=0.0694, reg=0.0190]
train epoch 1/1:   5%|▍         | 522/10792 [03:34<52:27,  3.26it/s, loss=0.0884, rank=0.0694, reg=0.0190]  
train epoch 1/1:   5%|▍         | 522/10792 [03:35<52:27,  3.26it/s, loss=0.0699, rank=0.0521, reg=0.0178]
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train epoch 1/1:   5%|▍         | 523/10792 [03:35<49:27,  3.46it/s, loss=0.2390, rank=0.0684, reg=0.1706]
train epoch 1/1:   5%|▍         | 524/10792 [03:35<53:38,  3.19it/s, loss=0.2390, rank=0.0684, reg=0.1706]
train epoch 1/1:   5%|▍         | 524/10792 [03:35<53:38,  3.19it/s, loss=0.1077, rank=0.0226, reg=0.0851]
train epoch 1/1:   5%|▍         | 525/10792 [03:35<44:54,  3.81it/s, loss=0.1077, rank=0.0226, reg=0.0851]
train epoch 1/1:   5%|▍         | 525/10792 [03:36<44:54,  3.81it/s, loss=0.0752, rank=0.0309, reg=0.0442]
train epoch 1/1:   5%|▍         | 526/10792 [03:36<1:08:34,  2.50it/s, loss=0.0752, rank=0.0309, reg=0.0442]
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train epoch 1/1:   5%|▍         | 531/10792 [03:38<1:09:57,  2.44it/s, loss=0.1167, rank=0.0465, reg=0.0702]
train epoch 1/1:   5%|▍         | 532/10792 [03:38<58:54,  2.90it/s, loss=0.1167, rank=0.0465, reg=0.0702]  
train epoch 1/1:   5%|▍         | 532/10792 [03:38<58:54,  2.90it/s, loss=0.1572, rank=0.1025, reg=0.0547]
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train epoch 1/1:   5%|▍         | 533/10792 [03:39<50:21,  3.39it/s, loss=0.1067, rank=0.0462, reg=0.0605]
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train epoch 1/1:   5%|▌         | 545/10792 [03:44<58:42,  2.91it/s, loss=0.1703, rank=0.0423, reg=0.1280]  
train epoch 1/1:   5%|▌         | 545/10792 [03:44<58:42,  2.91it/s, loss=0.0512, rank=0.0277, reg=0.0235]
train epoch 1/1:   5%|▌         | 546/10792 [03:44<58:41,  2.91it/s, loss=0.0512, rank=0.0277, reg=0.0235]
train epoch 1/1:   5%|▌         | 546/10792 [03:44<58:41,  2.91it/s, loss=0.0639, rank=0.0490, reg=0.0148]
train epoch 1/1:   5%|▌         | 547/10792 [03:44<47:18,  3.61it/s, loss=0.0639, rank=0.0490, reg=0.0148]
train epoch 1/1:   5%|▌         | 547/10792 [03:45<47:18,  3.61it/s, loss=0.0986, rank=0.0558, reg=0.0428]
train epoch 1/1:   5%|▌         | 548/10792 [03:45<1:06:07,  2.58it/s, loss=0.0986, rank=0.0558, reg=0.0428]
train epoch 1/1:   5%|▌         | 548/10792 [03:45<1:06:07,  2.58it/s, loss=0.0712, rank=0.0402, reg=0.0310]
train epoch 1/1:   5%|▌         | 549/10792 [03:45<55:35,  3.07it/s, loss=0.0712, rank=0.0402, reg=0.0310]  
train epoch 1/1:   5%|▌         | 549/10792 [03:45<55:35,  3.07it/s, loss=0.0408, rank=0.0238, reg=0.0169]
train epoch 1/1:   5%|▌         | 550/10792 [03:45<47:48,  3.57it/s, loss=0.0408, rank=0.0238, reg=0.0169]
train epoch 1/1:   5%|▌         | 550/10792 [03:47<47:48,  3.57it/s, loss=0.0768, rank=0.0434, reg=0.0334]
train epoch 1/1:   5%|▌         | 551/10792 [03:47<1:35:10,  1.79it/s, loss=0.0768, rank=0.0434, reg=0.0334]
train epoch 1/1:   5%|▌         | 551/10792 [03:47<1:35:10,  1.79it/s, loss=0.0780, rank=0.0473, reg=0.0307]
train epoch 1/1:   5%|▌         | 552/10792 [03:47<1:16:39,  2.23it/s, loss=0.0780, rank=0.0473, reg=0.0307]
train epoch 1/1:   5%|▌         | 552/10792 [03:47<1:16:39,  2.23it/s, loss=0.0899, rank=0.0283, reg=0.0615]
train epoch 1/1:   5%|▌         | 553/10792 [03:47<1:24:25,  2.02it/s, loss=0.0899, rank=0.0283, reg=0.0615]
train epoch 1/1:   5%|▌         | 553/10792 [03:48<1:24:25,  2.02it/s, loss=0.0784, rank=0.0433, reg=0.0351]
train epoch 1/1:   5%|▌         | 554/10792 [03:48<1:12:12,  2.36it/s, loss=0.0784, rank=0.0433, reg=0.0351]
train epoch 1/1:   5%|▌         | 554/10792 [03:48<1:12:12,  2.36it/s, loss=0.1170, rank=0.0598, reg=0.0572]
train epoch 1/1:   5%|▌         | 555/10792 [03:48<1:05:08,  2.62it/s, loss=0.1170, rank=0.0598, reg=0.0572]
train epoch 1/1:   5%|▌         | 555/10792 [03:49<1:05:08,  2.62it/s, loss=0.0537, rank=0.0237, reg=0.0300]
train epoch 1/1:   5%|▌         | 556/10792 [03:49<1:23:50,  2.03it/s, loss=0.0537, rank=0.0237, reg=0.0300]
train epoch 1/1:   5%|▌         | 556/10792 [03:49<1:23:50,  2.03it/s, loss=0.0915, rank=0.0573, reg=0.0342]
train epoch 1/1:   5%|▌         | 557/10792 [03:49<1:10:28,  2.42it/s, loss=0.0915, rank=0.0573, reg=0.0342]
train epoch 1/1:   5%|▌         | 557/10792 [03:49<1:10:28,  2.42it/s, loss=0.0443, rank=0.0268, reg=0.0174]
train epoch 1/1:   5%|▌         | 558/10792 [03:49<1:01:20,  2.78it/s, loss=0.0443, rank=0.0268, reg=0.0174]
train epoch 1/1:   5%|▌         | 558/10792 [03:49<1:01:20,  2.78it/s, loss=0.1030, rank=0.0887, reg=0.0143]
train epoch 1/1:   5%|▌         | 559/10792 [03:49<1:00:53,  2.80it/s, loss=0.1030, rank=0.0887, reg=0.0143]
train epoch 1/1:   5%|▌         | 559/10792 [03:50<1:00:53,  2.80it/s, loss=0.1567, rank=0.0758, reg=0.0809]
train epoch 1/1:   5%|▌         | 560/10792 [03:50<50:50,  3.35it/s, loss=0.1567, rank=0.0758, reg=0.0809]  
train epoch 1/1:   5%|▌         | 560/10792 [03:50<50:50,  3.35it/s, loss=0.1000, rank=0.0692, reg=0.0308]
train epoch 1/1:   5%|▌         | 561/10792 [03:50<51:22,  3.32it/s, loss=0.1000, rank=0.0692, reg=0.0308]
train epoch 1/1:   5%|▌         | 561/10792 [03:50<51:22,  3.32it/s, loss=0.0829, rank=0.0447, reg=0.0382]
train epoch 1/1:   5%|▌         | 562/10792 [03:50<47:16,  3.61it/s, loss=0.0829, rank=0.0447, reg=0.0382]
train epoch 1/1:   5%|▌         | 562/10792 [03:50<47:16,  3.61it/s, loss=0.0711, rank=0.0337, reg=0.0374]
train epoch 1/1:   5%|▌         | 563/10792 [03:50<51:42,  3.30it/s, loss=0.0711, rank=0.0337, reg=0.0374]
train epoch 1/1:   5%|▌         | 563/10792 [03:51<51:42,  3.30it/s, loss=0.1232, rank=0.0464, reg=0.0768]
train epoch 1/1:   5%|▌         | 564/10792 [03:51<47:41,  3.57it/s, loss=0.1232, rank=0.0464, reg=0.0768]
train epoch 1/1:   5%|▌         | 564/10792 [03:51<47:41,  3.57it/s, loss=0.0689, rank=0.0433, reg=0.0256]
train epoch 1/1:   5%|▌         | 565/10792 [03:51<45:13,  3.77it/s, loss=0.0689, rank=0.0433, reg=0.0256]
train epoch 1/1:   5%|▌         | 565/10792 [03:51<45:13,  3.77it/s, loss=0.0484, rank=0.0307, reg=0.0176]
train epoch 1/1:   5%|▌         | 566/10792 [03:51<52:10,  3.27it/s, loss=0.0484, rank=0.0307, reg=0.0176]
train epoch 1/1:   5%|▌         | 566/10792 [03:52<52:10,  3.27it/s, loss=0.1334, rank=0.0929, reg=0.0406]
train epoch 1/1:   5%|▌         | 567/10792 [03:52<54:41,  3.12it/s, loss=0.1334, rank=0.0929, reg=0.0406]
train epoch 1/1:   5%|▌         | 567/10792 [03:52<54:41,  3.12it/s, loss=0.1001, rank=0.0738, reg=0.0263]
train epoch 1/1:   5%|▌         | 568/10792 [03:52<1:13:44,  2.31it/s, loss=0.1001, rank=0.0738, reg=0.0263]
train epoch 1/1:   5%|▌         | 568/10792 [03:53<1:13:44,  2.31it/s, loss=0.1479, rank=0.0744, reg=0.0734]
train epoch 1/1:   5%|▌         | 569/10792 [03:53<1:06:15,  2.57it/s, loss=0.1479, rank=0.0744, reg=0.0734]
train epoch 1/1:   5%|▌         | 569/10792 [03:53<1:06:15,  2.57it/s, loss=0.0569, rank=0.0145, reg=0.0424]
train epoch 1/1:   5%|▌         | 570/10792 [03:53<1:26:52,  1.96it/s, loss=0.0569, rank=0.0145, reg=0.0424]
train epoch 1/1:   5%|▌         | 570/10792 [03:54<1:26:52,  1.96it/s, loss=0.0569, rank=0.0336, reg=0.0233]
train epoch 1/1:   5%|▌         | 571/10792 [03:54<1:12:06,  2.36it/s, loss=0.0569, rank=0.0336, reg=0.0233]
train epoch 1/1:   5%|▌         | 571/10792 [03:54<1:12:06,  2.36it/s, loss=0.0895, rank=0.0441, reg=0.0453]
train epoch 1/1:   5%|▌         | 572/10792 [03:54<1:00:49,  2.80it/s, loss=0.0895, rank=0.0441, reg=0.0453]
train epoch 1/1:   5%|▌         | 572/10792 [03:54<1:00:49,  2.80it/s, loss=0.1889, rank=0.0239, reg=0.1650]
train epoch 1/1:   5%|▌         | 573/10792 [03:54<53:45,  3.17it/s, loss=0.1889, rank=0.0239, reg=0.1650]  
train epoch 1/1:   5%|▌         | 573/10792 [03:55<53:45,  3.17it/s, loss=0.0693, rank=0.0382, reg=0.0311]
train epoch 1/1:   5%|▌         | 574/10792 [03:55<1:09:45,  2.44it/s, loss=0.0693, rank=0.0382, reg=0.0311]
train epoch 1/1:   5%|▌         | 574/10792 [03:55<1:09:45,  2.44it/s, loss=0.1195, rank=0.0507, reg=0.0688]
train epoch 1/1:   5%|▌         | 575/10792 [03:55<1:18:01,  2.18it/s, loss=0.1195, rank=0.0507, reg=0.0688]
train epoch 1/1:   5%|▌         | 575/10792 [03:56<1:18:01,  2.18it/s, loss=0.0935, rank=0.0557, reg=0.0378]
train epoch 1/1:   5%|▌         | 576/10792 [03:56<1:19:41,  2.14it/s, loss=0.0935, rank=0.0557, reg=0.0378]
train epoch 1/1:   5%|▌         | 576/10792 [03:57<1:19:41,  2.14it/s, loss=0.0782, rank=0.0117, reg=0.0666]
train epoch 1/1:   5%|▌         | 577/10792 [03:57<1:34:30,  1.80it/s, loss=0.0782, rank=0.0117, reg=0.0666]
train epoch 1/1:   5%|▌         | 577/10792 [03:57<1:34:30,  1.80it/s, loss=0.0819, rank=0.0501, reg=0.0318]
train epoch 1/1:   5%|▌         | 578/10792 [03:57<1:23:24,  2.04it/s, loss=0.0819, rank=0.0501, reg=0.0318]
train epoch 1/1:   5%|▌         | 578/10792 [03:57<1:23:24,  2.04it/s, loss=0.0888, rank=0.0380, reg=0.0508]
train epoch 1/1:   5%|▌         | 579/10792 [03:57<1:12:09,  2.36it/s, loss=0.0888, rank=0.0380, reg=0.0508]
train epoch 1/1:   5%|▌         | 579/10792 [03:57<1:12:09,  2.36it/s, loss=0.1113, rank=0.0677, reg=0.0436]
train epoch 1/1:   5%|▌         | 580/10792 [03:57<56:20,  3.02it/s, loss=0.1113, rank=0.0677, reg=0.0436]  
train epoch 1/1:   5%|▌         | 580/10792 [03:58<56:20,  3.02it/s, loss=0.0175, rank=0.0081, reg=0.0095]
train epoch 1/1:   5%|▌         | 581/10792 [03:58<1:22:03,  2.07it/s, loss=0.0175, rank=0.0081, reg=0.0095]
train epoch 1/1:   5%|▌         | 581/10792 [03:58<1:22:03,  2.07it/s, loss=0.0604, rank=0.0287, reg=0.0317]
train epoch 1/1:   5%|▌         | 582/10792 [03:58<1:14:00,  2.30it/s, loss=0.0604, rank=0.0287, reg=0.0317]
train epoch 1/1:   5%|▌         | 582/10792 [03:59<1:14:00,  2.30it/s, loss=0.0637, rank=0.0310, reg=0.0327]
train epoch 1/1:   5%|▌         | 583/10792 [03:59<1:12:00,  2.36it/s, loss=0.0637, rank=0.0310, reg=0.0327]
train epoch 1/1:   5%|▌         | 583/10792 [03:59<1:12:00,  2.36it/s, loss=0.0764, rank=0.0266, reg=0.0498]
train epoch 1/1:   5%|▌         | 584/10792 [03:59<1:13:47,  2.31it/s, loss=0.0764, rank=0.0266, reg=0.0498]
train epoch 1/1:   5%|▌         | 584/10792 [03:59<1:13:47,  2.31it/s, loss=0.0903, rank=0.0426, reg=0.0478]
train epoch 1/1:   5%|▌         | 585/10792 [03:59<1:02:28,  2.72it/s, loss=0.0903, rank=0.0426, reg=0.0478]
train epoch 1/1:   5%|▌         | 585/10792 [04:00<1:02:28,  2.72it/s, loss=0.0513, rank=0.0369, reg=0.0144]
train epoch 1/1:   5%|▌         | 586/10792 [04:00<51:30,  3.30it/s, loss=0.0513, rank=0.0369, reg=0.0144]  
train epoch 1/1:   5%|▌         | 586/10792 [04:00<51:30,  3.30it/s, loss=0.0804, rank=0.0589, reg=0.0215]
train epoch 1/1:   5%|▌         | 587/10792 [04:00<1:09:48,  2.44it/s, loss=0.0804, rank=0.0589, reg=0.0215]
train epoch 1/1:   5%|▌         | 587/10792 [04:01<1:09:48,  2.44it/s, loss=0.1623, rank=0.0519, reg=0.1104]
train epoch 1/1:   5%|▌         | 588/10792 [04:01<1:05:54,  2.58it/s, loss=0.1623, rank=0.0519, reg=0.1104]
train epoch 1/1:   5%|▌         | 588/10792 [04:01<1:05:54,  2.58it/s, loss=0.0365, rank=0.0174, reg=0.0191]
train epoch 1/1:   5%|▌         | 589/10792 [04:01<1:05:30,  2.60it/s, loss=0.0365, rank=0.0174, reg=0.0191]
train epoch 1/1:   5%|▌         | 589/10792 [04:01<1:05:30,  2.60it/s, loss=0.1135, rank=0.0687, reg=0.0448]
train epoch 1/1:   5%|▌         | 590/10792 [04:01<53:17,  3.19it/s, loss=0.1135, rank=0.0687, reg=0.0448]  
train epoch 1/1:   5%|▌         | 590/10792 [04:02<53:17,  3.19it/s, loss=0.1159, rank=0.0661, reg=0.0498]
train epoch 1/1:   5%|▌         | 591/10792 [04:02<1:05:19,  2.60it/s, loss=0.1159, rank=0.0661, reg=0.0498]
train epoch 1/1:   5%|▌         | 591/10792 [04:03<1:05:19,  2.60it/s, loss=0.0750, rank=0.0240, reg=0.0510]
train epoch 1/1:   5%|▌         | 592/10792 [04:03<1:46:49,  1.59it/s, loss=0.0750, rank=0.0240, reg=0.0510]
train epoch 1/1:   5%|▌         | 592/10792 [04:03<1:46:49,  1.59it/s, loss=0.0783, rank=0.0330, reg=0.0454]
train epoch 1/1:   5%|▌         | 593/10792 [04:03<1:41:17,  1.68it/s, loss=0.0783, rank=0.0330, reg=0.0454]
train epoch 1/1:   5%|▌         | 593/10792 [04:04<1:41:17,  1.68it/s, loss=0.1071, rank=0.0727, reg=0.0344]
train epoch 1/1:   6%|▌         | 594/10792 [04:04<1:17:09,  2.20it/s, loss=0.1071, rank=0.0727, reg=0.0344]
train epoch 1/1:   6%|▌         | 594/10792 [04:04<1:17:09,  2.20it/s, loss=0.0733, rank=0.0348, reg=0.0384]
train epoch 1/1:   6%|▌         | 595/10792 [04:04<1:06:36,  2.55it/s, loss=0.0733, rank=0.0348, reg=0.0384]
train epoch 1/1:   6%|▌         | 595/10792 [04:05<1:06:36,  2.55it/s, loss=0.0959, rank=0.0509, reg=0.0450]
train epoch 1/1:   6%|▌         | 596/10792 [04:05<1:23:58,  2.02it/s, loss=0.0959, rank=0.0509, reg=0.0450]
train epoch 1/1:   6%|▌         | 596/10792 [04:06<1:23:58,  2.02it/s, loss=0.0933, rank=0.0721, reg=0.0212]
train epoch 1/1:   6%|▌         | 597/10792 [04:06<2:00:01,  1.42it/s, loss=0.0933, rank=0.0721, reg=0.0212]
train epoch 1/1:   6%|▌         | 597/10792 [04:06<2:00:01,  1.42it/s, loss=0.0930, rank=0.0464, reg=0.0467]
train epoch 1/1:   6%|▌         | 598/10792 [04:06<1:33:05,  1.83it/s, loss=0.0930, rank=0.0464, reg=0.0467]
train epoch 1/1:   6%|▌         | 598/10792 [04:06<1:33:05,  1.83it/s, loss=0.0650, rank=0.0277, reg=0.0373]
train epoch 1/1:   6%|▌         | 599/10792 [04:06<1:20:03,  2.12it/s, loss=0.0650, rank=0.0277, reg=0.0373]
train epoch 1/1:   6%|▌         | 599/10792 [04:07<1:20:03,  2.12it/s, loss=0.1050, rank=0.0665, reg=0.0385]
train epoch 1/1:   6%|▌         | 600/10792 [04:07<1:11:51,  2.36it/s, loss=0.1050, rank=0.0665, reg=0.0385]
train epoch 1/1:   6%|▌         | 600/10792 [04:07<1:11:51,  2.36it/s, loss=0.1117, rank=0.0801, reg=0.0315]
train epoch 1/1:   6%|▌         | 601/10792 [04:07<1:01:47,  2.75it/s, loss=0.1117, rank=0.0801, reg=0.0315]
train epoch 1/1:   6%|▌         | 601/10792 [04:07<1:01:47,  2.75it/s, loss=0.0815, rank=0.0659, reg=0.0156]
train epoch 1/1:   6%|▌         | 602/10792 [04:07<1:02:27,  2.72it/s, loss=0.0815, rank=0.0659, reg=0.0156]
train epoch 1/1:   6%|▌         | 602/10792 [04:07<1:02:27,  2.72it/s, loss=0.1360, rank=0.0829, reg=0.0531]
train epoch 1/1:   6%|▌         | 603/10792 [04:07<54:49,  3.10it/s, loss=0.1360, rank=0.0829, reg=0.0531]  
train epoch 1/1:   6%|▌         | 603/10792 [04:08<54:49,  3.10it/s, loss=0.0750, rank=0.0233, reg=0.0516]
train epoch 1/1:   6%|▌         | 604/10792 [04:08<52:28,  3.24it/s, loss=0.0750, rank=0.0233, reg=0.0516]
train epoch 1/1:   6%|▌         | 604/10792 [04:08<52:28,  3.24it/s, loss=0.0843, rank=0.0415, reg=0.0427]
train epoch 1/1:   6%|▌         | 605/10792 [04:08<59:10,  2.87it/s, loss=0.0843, rank=0.0415, reg=0.0427]
train epoch 1/1:   6%|▌         | 605/10792 [04:08<59:10,  2.87it/s, loss=0.1320, rank=0.0459, reg=0.0861]
train epoch 1/1:   6%|▌         | 606/10792 [04:08<52:59,  3.20it/s, loss=0.1320, rank=0.0459, reg=0.0861]
train epoch 1/1:   6%|▌         | 606/10792 [04:08<52:59,  3.20it/s, loss=0.1006, rank=0.0415, reg=0.0591]
train epoch 1/1:   6%|▌         | 607/10792 [04:08<44:37,  3.80it/s, loss=0.1006, rank=0.0415, reg=0.0591]
train epoch 1/1:   6%|▌         | 607/10792 [04:09<44:37,  3.80it/s, loss=0.0684, rank=0.0352, reg=0.0332]
train epoch 1/1:   6%|▌         | 608/10792 [04:09<38:56,  4.36it/s, loss=0.0684, rank=0.0352, reg=0.0332]
train epoch 1/1:   6%|▌         | 608/10792 [04:09<38:56,  4.36it/s, loss=0.0606, rank=0.0455, reg=0.0150]
train epoch 1/1:   6%|▌         | 609/10792 [04:09<39:53,  4.25it/s, loss=0.0606, rank=0.0455, reg=0.0150]
train epoch 1/1:   6%|▌         | 609/10792 [04:09<39:53,  4.25it/s, loss=0.1255, rank=0.0766, reg=0.0489]
train epoch 1/1:   6%|▌         | 610/10792 [04:09<36:00,  4.71it/s, loss=0.1255, rank=0.0766, reg=0.0489]
train epoch 1/1:   6%|▌         | 610/10792 [04:09<36:00,  4.71it/s, loss=0.0705, rank=0.0552, reg=0.0153]
train epoch 1/1:   6%|▌         | 611/10792 [04:09<48:51,  3.47it/s, loss=0.0705, rank=0.0552, reg=0.0153]
train epoch 1/1:   6%|▌         | 611/10792 [04:10<48:51,  3.47it/s, loss=0.0744, rank=0.0246, reg=0.0498]
train epoch 1/1:   6%|▌         | 612/10792 [04:10<55:54,  3.04it/s, loss=0.0744, rank=0.0246, reg=0.0498]
train epoch 1/1:   6%|▌         | 612/10792 [04:10<55:54,  3.04it/s, loss=0.1599, rank=0.0927, reg=0.0671]
train epoch 1/1:   6%|▌         | 613/10792 [04:10<48:04,  3.53it/s, loss=0.1599, rank=0.0927, reg=0.0671]
train epoch 1/1:   6%|▌         | 613/10792 [04:10<48:04,  3.53it/s, loss=0.0956, rank=0.0181, reg=0.0775]
train epoch 1/1:   6%|▌         | 614/10792 [04:10<53:33,  3.17it/s, loss=0.0956, rank=0.0181, reg=0.0775]
train epoch 1/1:   6%|▌         | 614/10792 [04:11<53:33,  3.17it/s, loss=0.0501, rank=0.0288, reg=0.0213]
train epoch 1/1:   6%|▌         | 615/10792 [04:11<1:09:05,  2.45it/s, loss=0.0501, rank=0.0288, reg=0.0213]
train epoch 1/1:   6%|▌         | 615/10792 [04:11<1:09:05,  2.45it/s, loss=0.0781, rank=0.0590, reg=0.0191]
train epoch 1/1:   6%|▌         | 616/10792 [04:11<58:16,  2.91it/s, loss=0.0781, rank=0.0590, reg=0.0191]  
train epoch 1/1:   6%|▌         | 616/10792 [04:12<58:16,  2.91it/s, loss=0.0711, rank=0.0120, reg=0.0590]
train epoch 1/1:   6%|▌         | 617/10792 [04:12<1:03:51,  2.66it/s, loss=0.0711, rank=0.0120, reg=0.0590]
train epoch 1/1:   6%|▌         | 617/10792 [04:12<1:03:51,  2.66it/s, loss=0.1780, rank=0.0448, reg=0.1332]
train epoch 1/1:   6%|▌         | 618/10792 [04:12<1:21:45,  2.07it/s, loss=0.1780, rank=0.0448, reg=0.1332]
train epoch 1/1:   6%|▌         | 618/10792 [04:13<1:21:45,  2.07it/s, loss=0.0848, rank=0.0371, reg=0.0476]
train epoch 1/1:   6%|▌         | 619/10792 [04:13<1:13:28,  2.31it/s, loss=0.0848, rank=0.0371, reg=0.0476]
train epoch 1/1:   6%|▌         | 619/10792 [04:13<1:13:28,  2.31it/s, loss=0.1238, rank=0.0402, reg=0.0835]
train epoch 1/1:   6%|▌         | 620/10792 [04:13<1:04:20,  2.63it/s, loss=0.1238, rank=0.0402, reg=0.0835]
train epoch 1/1:   6%|▌         | 620/10792 [04:13<1:04:20,  2.63it/s, loss=0.1013, rank=0.0630, reg=0.0383]
train epoch 1/1:   6%|▌         | 621/10792 [04:13<1:03:40,  2.66it/s, loss=0.1013, rank=0.0630, reg=0.0383]
train epoch 1/1:   6%|▌         | 621/10792 [04:14<1:03:40,  2.66it/s, loss=0.0542, rank=0.0141, reg=0.0401]
train epoch 1/1:   6%|▌         | 622/10792 [04:14<1:03:56,  2.65it/s, loss=0.0542, rank=0.0141, reg=0.0401]
train epoch 1/1:   6%|▌         | 622/10792 [04:15<1:03:56,  2.65it/s, loss=0.1261, rank=0.0375, reg=0.0886]
train epoch 1/1:   6%|▌         | 623/10792 [04:15<1:27:13,  1.94it/s, loss=0.1261, rank=0.0375, reg=0.0886]
train epoch 1/1:   6%|▌         | 623/10792 [04:15<1:27:13,  1.94it/s, loss=0.3318, rank=0.1159, reg=0.2159]
train epoch 1/1:   6%|▌         | 624/10792 [04:15<1:09:25,  2.44it/s, loss=0.3318, rank=0.1159, reg=0.2159]
train epoch 1/1:   6%|▌         | 624/10792 [04:15<1:09:25,  2.44it/s, loss=0.1436, rank=0.0885, reg=0.0551]
train epoch 1/1:   6%|▌         | 625/10792 [04:15<57:21,  2.95it/s, loss=0.1436, rank=0.0885, reg=0.0551]  
train epoch 1/1:   6%|▌         | 625/10792 [04:16<57:21,  2.95it/s, loss=0.0693, rank=0.0401, reg=0.0292]
train epoch 1/1:   6%|▌         | 626/10792 [04:16<1:17:44,  2.18it/s, loss=0.0693, rank=0.0401, reg=0.0292]
train epoch 1/1:   6%|▌         | 626/10792 [04:16<1:17:44,  2.18it/s, loss=0.2581, rank=0.0742, reg=0.1840]
train epoch 1/1:   6%|▌         | 627/10792 [04:16<1:32:01,  1.84it/s, loss=0.2581, rank=0.0742, reg=0.1840]
train epoch 1/1:   6%|▌         | 627/10792 [04:17<1:32:01,  1.84it/s, loss=0.0801, rank=0.0520, reg=0.0281]
train epoch 1/1:   6%|▌         | 628/10792 [04:17<1:24:51,  2.00it/s, loss=0.0801, rank=0.0520, reg=0.0281]
train epoch 1/1:   6%|▌         | 628/10792 [04:17<1:24:51,  2.00it/s, loss=0.1140, rank=0.0746, reg=0.0394]
train epoch 1/1:   6%|▌         | 629/10792 [04:17<1:09:05,  2.45it/s, loss=0.1140, rank=0.0746, reg=0.0394]
train epoch 1/1:   6%|▌         | 629/10792 [04:17<1:09:05,  2.45it/s, loss=0.0854, rank=0.0631, reg=0.0223]
train epoch 1/1:   6%|▌         | 630/10792 [04:17<54:10,  3.13it/s, loss=0.0854, rank=0.0631, reg=0.0223]  
train epoch 1/1:   6%|▌         | 630/10792 [04:17<54:10,  3.13it/s, loss=0.1063, rank=0.0274, reg=0.0789]
train epoch 1/1:   6%|▌         | 631/10792 [04:17<47:21,  3.58it/s, loss=0.1063, rank=0.0274, reg=0.0789]
train epoch 1/1:   6%|▌         | 631/10792 [04:18<47:21,  3.58it/s, loss=0.0647, rank=0.0202, reg=0.0445]
train epoch 1/1:   6%|▌         | 632/10792 [04:18<42:53,  3.95it/s, loss=0.0647, rank=0.0202, reg=0.0445]
train epoch 1/1:   6%|▌         | 632/10792 [04:18<42:53,  3.95it/s, loss=0.0635, rank=0.0300, reg=0.0335]
train epoch 1/1:   6%|▌         | 633/10792 [04:18<45:21,  3.73it/s, loss=0.0635, rank=0.0300, reg=0.0335]
train epoch 1/1:   6%|▌         | 633/10792 [04:18<45:21,  3.73it/s, loss=0.0878, rank=0.0423, reg=0.0455]
train epoch 1/1:   6%|▌         | 634/10792 [04:18<43:13,  3.92it/s, loss=0.0878, rank=0.0423, reg=0.0455]
train epoch 1/1:   6%|▌         | 634/10792 [04:19<43:13,  3.92it/s, loss=0.1033, rank=0.0603, reg=0.0430]
train epoch 1/1:   6%|▌         | 635/10792 [04:19<54:03,  3.13it/s, loss=0.1033, rank=0.0603, reg=0.0430]
train epoch 1/1:   6%|▌         | 635/10792 [04:19<54:03,  3.13it/s, loss=0.1499, rank=0.0364, reg=0.1134]
train epoch 1/1:   6%|▌         | 636/10792 [04:19<49:00,  3.45it/s, loss=0.1499, rank=0.0364, reg=0.1134]
train epoch 1/1:   6%|▌         | 636/10792 [04:19<49:00,  3.45it/s, loss=0.0890, rank=0.0517, reg=0.0373]
train epoch 1/1:   6%|▌         | 637/10792 [04:19<49:00,  3.45it/s, loss=0.0890, rank=0.0517, reg=0.0373]
train epoch 1/1:   6%|▌         | 637/10792 [04:19<49:00,  3.45it/s, loss=0.0985, rank=0.0191, reg=0.0794]
train epoch 1/1:   6%|▌         | 638/10792 [04:19<46:17,  3.66it/s, loss=0.0985, rank=0.0191, reg=0.0794]
train epoch 1/1:   6%|▌         | 638/10792 [04:20<46:17,  3.66it/s, loss=0.0485, rank=0.0262, reg=0.0223]
train epoch 1/1:   6%|▌         | 639/10792 [04:20<52:44,  3.21it/s, loss=0.0485, rank=0.0262, reg=0.0223]
train epoch 1/1:   6%|▌         | 639/10792 [04:20<52:44,  3.21it/s, loss=0.0521, rank=0.0122, reg=0.0399]
train epoch 1/1:   6%|▌         | 640/10792 [04:20<54:56,  3.08it/s, loss=0.0521, rank=0.0122, reg=0.0399]
train epoch 1/1:   6%|▌         | 640/10792 [04:20<54:56,  3.08it/s, loss=0.1325, rank=0.0769, reg=0.0556]
train epoch 1/1:   6%|▌         | 641/10792 [04:20<47:55,  3.53it/s, loss=0.1325, rank=0.0769, reg=0.0556]
train epoch 1/1:   6%|▌         | 641/10792 [04:20<47:55,  3.53it/s, loss=0.1594, rank=0.1319, reg=0.0275]
train epoch 1/1:   6%|▌         | 642/10792 [04:20<39:33,  4.28it/s, loss=0.1594, rank=0.1319, reg=0.0275]
train epoch 1/1:   6%|▌         | 642/10792 [04:21<39:33,  4.28it/s, loss=0.1623, rank=0.0976, reg=0.0647]
train epoch 1/1:   6%|▌         | 643/10792 [04:21<53:56,  3.14it/s, loss=0.1623, rank=0.0976, reg=0.0647]
train epoch 1/1:   6%|▌         | 643/10792 [04:21<53:56,  3.14it/s, loss=0.1231, rank=0.0731, reg=0.0500]
train epoch 1/1:   6%|▌         | 644/10792 [04:21<1:04:15,  2.63it/s, loss=0.1231, rank=0.0731, reg=0.0500]
train epoch 1/1:   6%|▌         | 644/10792 [04:22<1:04:15,  2.63it/s, loss=0.1237, rank=0.0667, reg=0.0570]
train epoch 1/1:   6%|▌         | 645/10792 [04:22<1:00:22,  2.80it/s, loss=0.1237, rank=0.0667, reg=0.0570]
train epoch 1/1:   6%|▌         | 645/10792 [04:22<1:00:22,  2.80it/s, loss=0.0793, rank=0.0430, reg=0.0363]
train epoch 1/1:   6%|▌         | 646/10792 [04:22<1:01:51,  2.73it/s, loss=0.0793, rank=0.0430, reg=0.0363]
train epoch 1/1:   6%|▌         | 646/10792 [04:22<1:01:51,  2.73it/s, loss=0.2376, rank=0.0889, reg=0.1486]
train epoch 1/1:   6%|▌         | 647/10792 [04:22<48:44,  3.47it/s, loss=0.2376, rank=0.0889, reg=0.1486]  
train epoch 1/1:   6%|▌         | 647/10792 [04:22<48:44,  3.47it/s, loss=0.1052, rank=0.0427, reg=0.0625]
train epoch 1/1:   6%|▌         | 648/10792 [04:22<49:55,  3.39it/s, loss=0.1052, rank=0.0427, reg=0.0625]
train epoch 1/1:   6%|▌         | 648/10792 [04:23<49:55,  3.39it/s, loss=0.0519, rank=0.0217, reg=0.0301]
train epoch 1/1:   6%|▌         | 649/10792 [04:23<49:00,  3.45it/s, loss=0.0519, rank=0.0217, reg=0.0301]
train epoch 1/1:   6%|▌         | 649/10792 [04:23<49:00,  3.45it/s, loss=0.1103, rank=0.0715, reg=0.0387]
train epoch 1/1:   6%|▌         | 650/10792 [04:23<49:53,  3.39it/s, loss=0.1103, rank=0.0715, reg=0.0387]
train epoch 1/1:   6%|▌         | 650/10792 [04:23<49:53,  3.39it/s, loss=0.0882, rank=0.0632, reg=0.0250]
train epoch 1/1:   6%|▌         | 651/10792 [04:23<50:19,  3.36it/s, loss=0.0882, rank=0.0632, reg=0.0250]
train epoch 1/1:   6%|▌         | 651/10792 [04:24<50:19,  3.36it/s, loss=0.1054, rank=0.0667, reg=0.0387]
train epoch 1/1:   6%|▌         | 652/10792 [04:24<1:12:42,  2.32it/s, loss=0.1054, rank=0.0667, reg=0.0387]
train epoch 1/1:   6%|▌         | 652/10792 [04:24<1:12:42,  2.32it/s, loss=0.0443, rank=0.0281, reg=0.0162]
train epoch 1/1:   6%|▌         | 653/10792 [04:24<57:47,  2.92it/s, loss=0.0443, rank=0.0281, reg=0.0162]  
train epoch 1/1:   6%|▌         | 653/10792 [04:24<57:47,  2.92it/s, loss=0.0542, rank=0.0334, reg=0.0208]
train epoch 1/1:   6%|▌         | 654/10792 [04:24<47:22,  3.57it/s, loss=0.0542, rank=0.0334, reg=0.0208]
train epoch 1/1:   6%|▌         | 654/10792 [04:25<47:22,  3.57it/s, loss=0.2943, rank=0.0653, reg=0.2290]
train epoch 1/1:   6%|▌         | 655/10792 [04:25<48:08,  3.51it/s, loss=0.2943, rank=0.0653, reg=0.2290]
train epoch 1/1:   6%|▌         | 655/10792 [04:25<48:08,  3.51it/s, loss=0.1197, rank=0.0587, reg=0.0610]
train epoch 1/1:   6%|▌         | 656/10792 [04:25<1:10:44,  2.39it/s, loss=0.1197, rank=0.0587, reg=0.0610]
train epoch 1/1:   6%|▌         | 656/10792 [04:26<1:10:44,  2.39it/s, loss=0.0768, rank=0.0517, reg=0.0250]
train epoch 1/1:   6%|▌         | 657/10792 [04:26<1:11:31,  2.36it/s, loss=0.0768, rank=0.0517, reg=0.0250]
train epoch 1/1:   6%|▌         | 657/10792 [04:26<1:11:31,  2.36it/s, loss=0.1292, rank=0.0835, reg=0.0457]
train epoch 1/1:   6%|▌         | 658/10792 [04:26<1:07:27,  2.50it/s, loss=0.1292, rank=0.0835, reg=0.0457]
train epoch 1/1:   6%|▌         | 658/10792 [04:26<1:07:27,  2.50it/s, loss=0.1426, rank=0.0784, reg=0.0642]
train epoch 1/1:   6%|▌         | 659/10792 [04:26<58:34,  2.88it/s, loss=0.1426, rank=0.0784, reg=0.0642]  
train epoch 1/1:   6%|▌         | 659/10792 [04:27<58:34,  2.88it/s, loss=0.0966, rank=0.0759, reg=0.0207]
train epoch 1/1:   6%|▌         | 660/10792 [04:27<55:19,  3.05it/s, loss=0.0966, rank=0.0759, reg=0.0207]
train epoch 1/1:   6%|▌         | 660/10792 [04:27<55:19,  3.05it/s, loss=0.0638, rank=0.0330, reg=0.0308]
train epoch 1/1:   6%|▌         | 661/10792 [04:27<1:00:35,  2.79it/s, loss=0.0638, rank=0.0330, reg=0.0308]
train epoch 1/1:   6%|▌         | 661/10792 [04:28<1:00:35,  2.79it/s, loss=0.0429, rank=0.0179, reg=0.0250]
train epoch 1/1:   6%|▌         | 662/10792 [04:28<1:17:40,  2.17it/s, loss=0.0429, rank=0.0179, reg=0.0250]
train epoch 1/1:   6%|▌         | 662/10792 [04:29<1:17:40,  2.17it/s, loss=0.1434, rank=0.0705, reg=0.0729]
train epoch 1/1:   6%|▌         | 663/10792 [04:29<1:30:20,  1.87it/s, loss=0.1434, rank=0.0705, reg=0.0729]
train epoch 1/1:   6%|▌         | 663/10792 [04:29<1:30:20,  1.87it/s, loss=0.1508, rank=0.0945, reg=0.0562]
train epoch 1/1:   6%|▌         | 664/10792 [04:29<1:15:49,  2.23it/s, loss=0.1508, rank=0.0945, reg=0.0562]
train epoch 1/1:   6%|▌         | 664/10792 [04:30<1:15:49,  2.23it/s, loss=0.1344, rank=0.0759, reg=0.0585]
train epoch 1/1:   6%|▌         | 665/10792 [04:30<2:00:40,  1.40it/s, loss=0.1344, rank=0.0759, reg=0.0585]
train epoch 1/1:   6%|▌         | 665/10792 [04:30<2:00:40,  1.40it/s, loss=0.1027, rank=0.0768, reg=0.0259]
train epoch 1/1:   6%|▌         | 666/10792 [04:30<1:36:08,  1.76it/s, loss=0.1027, rank=0.0768, reg=0.0259]
train epoch 1/1:   6%|▌         | 666/10792 [04:31<1:36:08,  1.76it/s, loss=0.2138, rank=0.0574, reg=0.1565]
train epoch 1/1:   6%|▌         | 667/10792 [04:31<1:18:37,  2.15it/s, loss=0.2138, rank=0.0574, reg=0.1565]
train epoch 1/1:   6%|▌         | 667/10792 [04:31<1:18:37,  2.15it/s, loss=0.0868, rank=0.0456, reg=0.0412]
train epoch 1/1:   6%|▌         | 668/10792 [04:31<1:01:09,  2.76it/s, loss=0.0868, rank=0.0456, reg=0.0412]
train epoch 1/1:   6%|▌         | 668/10792 [04:31<1:01:09,  2.76it/s, loss=0.0835, rank=0.0590, reg=0.0245]
train epoch 1/1:   6%|▌         | 669/10792 [04:31<53:51,  3.13it/s, loss=0.0835, rank=0.0590, reg=0.0245]  
train epoch 1/1:   6%|▌         | 669/10792 [04:31<53:51,  3.13it/s, loss=0.0541, rank=0.0269, reg=0.0272]
train epoch 1/1:   6%|▌         | 670/10792 [04:31<45:11,  3.73it/s, loss=0.0541, rank=0.0269, reg=0.0272]
train epoch 1/1:   6%|▌         | 670/10792 [04:32<45:11,  3.73it/s, loss=0.0511, rank=0.0308, reg=0.0203]
train epoch 1/1:   6%|▌         | 671/10792 [04:32<1:09:46,  2.42it/s, loss=0.0511, rank=0.0308, reg=0.0203]
train epoch 1/1:   6%|▌         | 671/10792 [04:32<1:09:46,  2.42it/s, loss=0.2195, rank=0.0656, reg=0.1539]
train epoch 1/1:   6%|▌         | 672/10792 [04:32<1:02:25,  2.70it/s, loss=0.2195, rank=0.0656, reg=0.1539]
train epoch 1/1:   6%|▌         | 672/10792 [04:33<1:02:25,  2.70it/s, loss=0.1075, rank=0.0550, reg=0.0526]
train epoch 1/1:   6%|▌         | 673/10792 [04:33<1:21:51,  2.06it/s, loss=0.1075, rank=0.0550, reg=0.0526]
train epoch 1/1:   6%|▌         | 673/10792 [04:33<1:21:51,  2.06it/s, loss=0.0575, rank=0.0372, reg=0.0204]
train epoch 1/1:   6%|▌         | 674/10792 [04:33<1:10:35,  2.39it/s, loss=0.0575, rank=0.0372, reg=0.0204]
train epoch 1/1:   6%|▌         | 674/10792 [04:33<1:10:35,  2.39it/s, loss=0.1281, rank=0.0581, reg=0.0701]
train epoch 1/1:   6%|▋         | 675/10792 [04:33<1:03:29,  2.66it/s, loss=0.1281, rank=0.0581, reg=0.0701]
train epoch 1/1:   6%|▋         | 675/10792 [04:35<1:03:29,  2.66it/s, loss=0.0852, rank=0.0328, reg=0.0524]
train epoch 1/1:   6%|▋         | 676/10792 [04:35<1:43:29,  1.63it/s, loss=0.0852, rank=0.0328, reg=0.0524]
train epoch 1/1:   6%|▋         | 676/10792 [04:35<1:43:29,  1.63it/s, loss=0.1529, rank=0.0690, reg=0.0839]
train epoch 1/1:   6%|▋         | 677/10792 [04:35<1:56:16,  1.45it/s, loss=0.1529, rank=0.0690, reg=0.0839]
train epoch 1/1:   6%|▋         | 677/10792 [04:36<1:56:16,  1.45it/s, loss=0.0799, rank=0.0325, reg=0.0474]
train epoch 1/1:   6%|▋         | 678/10792 [04:36<1:35:06,  1.77it/s, loss=0.0799, rank=0.0325, reg=0.0474]
train epoch 1/1:   6%|▋         | 678/10792 [04:36<1:35:06,  1.77it/s, loss=0.0802, rank=0.0403, reg=0.0400]
train epoch 1/1:   6%|▋         | 679/10792 [04:36<1:35:40,  1.76it/s, loss=0.0802, rank=0.0403, reg=0.0400]
train epoch 1/1:   6%|▋         | 679/10792 [04:36<1:35:40,  1.76it/s, loss=0.0760, rank=0.0458, reg=0.0302]
train epoch 1/1:   6%|▋         | 680/10792 [04:36<1:14:36,  2.26it/s, loss=0.0760, rank=0.0458, reg=0.0302]
train epoch 1/1:   6%|▋         | 680/10792 [04:37<1:14:36,  2.26it/s, loss=0.1494, rank=0.0465, reg=0.1029]
train epoch 1/1:   6%|▋         | 681/10792 [04:37<1:03:45,  2.64it/s, loss=0.1494, rank=0.0465, reg=0.1029]
train epoch 1/1:   6%|▋         | 681/10792 [04:37<1:03:45,  2.64it/s, loss=0.1310, rank=0.0439, reg=0.0871]
train epoch 1/1:   6%|▋         | 682/10792 [04:37<53:25,  3.15it/s, loss=0.1310, rank=0.0439, reg=0.0871]  
train epoch 1/1:   6%|▋         | 682/10792 [04:37<53:25,  3.15it/s, loss=0.0698, rank=0.0380, reg=0.0318]
train epoch 1/1:   6%|▋         | 683/10792 [04:37<52:29,  3.21it/s, loss=0.0698, rank=0.0380, reg=0.0318]
train epoch 1/1:   6%|▋         | 683/10792 [04:37<52:29,  3.21it/s, loss=0.1083, rank=0.0707, reg=0.0376]
train epoch 1/1:   6%|▋         | 684/10792 [04:37<57:23,  2.94it/s, loss=0.1083, rank=0.0707, reg=0.0376]
train epoch 1/1:   6%|▋         | 684/10792 [04:38<57:23,  2.94it/s, loss=0.1046, rank=0.0483, reg=0.0564]
train epoch 1/1:   6%|▋         | 685/10792 [04:38<1:15:43,  2.22it/s, loss=0.1046, rank=0.0483, reg=0.0564]
train epoch 1/1:   6%|▋         | 685/10792 [04:38<1:15:43,  2.22it/s, loss=0.0687, rank=0.0415, reg=0.0271]
train epoch 1/1:   6%|▋         | 686/10792 [04:38<1:05:56,  2.55it/s, loss=0.0687, rank=0.0415, reg=0.0271]
train epoch 1/1:   6%|▋         | 686/10792 [04:39<1:05:56,  2.55it/s, loss=0.0713, rank=0.0445, reg=0.0269]
train epoch 1/1:   6%|▋         | 687/10792 [04:39<1:04:05,  2.63it/s, loss=0.0713, rank=0.0445, reg=0.0269]
train epoch 1/1:   6%|▋         | 687/10792 [04:39<1:04:05,  2.63it/s, loss=0.0859, rank=0.0562, reg=0.0296]
train epoch 1/1:   6%|▋         | 688/10792 [04:39<52:54,  3.18it/s, loss=0.0859, rank=0.0562, reg=0.0296]  
train epoch 1/1:   6%|▋         | 688/10792 [04:39<52:54,  3.18it/s, loss=0.0478, rank=0.0169, reg=0.0309]
train epoch 1/1:   6%|▋         | 689/10792 [04:39<42:47,  3.93it/s, loss=0.0478, rank=0.0169, reg=0.0309]
train epoch 1/1:   6%|▋         | 689/10792 [04:40<42:47,  3.93it/s, loss=0.0958, rank=0.0616, reg=0.0342]
train epoch 1/1:   6%|▋         | 690/10792 [04:40<57:04,  2.95it/s, loss=0.0958, rank=0.0616, reg=0.0342]
train epoch 1/1:   6%|▋         | 690/10792 [04:40<57:04,  2.95it/s, loss=0.0867, rank=0.0508, reg=0.0359]
train epoch 1/1:   6%|▋         | 691/10792 [04:40<49:44,  3.38it/s, loss=0.0867, rank=0.0508, reg=0.0359]
train epoch 1/1:   6%|▋         | 691/10792 [04:41<49:44,  3.38it/s, loss=0.1024, rank=0.0468, reg=0.0557]
train epoch 1/1:   6%|▋         | 692/10792 [04:41<1:11:52,  2.34it/s, loss=0.1024, rank=0.0468, reg=0.0557]
train epoch 1/1:   6%|▋         | 692/10792 [04:41<1:11:52,  2.34it/s, loss=0.1383, rank=0.0510, reg=0.0874]
train epoch 1/1:   6%|▋         | 693/10792 [04:41<59:39,  2.82it/s, loss=0.1383, rank=0.0510, reg=0.0874]  
train epoch 1/1:   6%|▋         | 693/10792 [04:42<59:39,  2.82it/s, loss=0.1303, rank=0.0337, reg=0.0967]
train epoch 1/1:   6%|▋         | 694/10792 [04:42<1:23:19,  2.02it/s, loss=0.1303, rank=0.0337, reg=0.0967]
train epoch 1/1:   6%|▋         | 694/10792 [04:42<1:23:19,  2.02it/s, loss=0.0697, rank=0.0540, reg=0.0157]
train epoch 1/1:   6%|▋         | 695/10792 [04:42<1:36:23,  1.75it/s, loss=0.0697, rank=0.0540, reg=0.0157]
train epoch 1/1:   6%|▋         | 695/10792 [04:43<1:36:23,  1.75it/s, loss=0.0911, rank=0.0496, reg=0.0415]
train epoch 1/1:   6%|▋         | 696/10792 [04:43<1:27:08,  1.93it/s, loss=0.0911, rank=0.0496, reg=0.0415]
train epoch 1/1:   6%|▋         | 696/10792 [04:43<1:27:08,  1.93it/s, loss=0.1425, rank=0.0572, reg=0.0854]
train epoch 1/1:   6%|▋         | 697/10792 [04:43<1:17:51,  2.16it/s, loss=0.1425, rank=0.0572, reg=0.0854]
train epoch 1/1:   6%|▋         | 697/10792 [04:43<1:17:51,  2.16it/s, loss=0.0676, rank=0.0556, reg=0.0120]
train epoch 1/1:   6%|▋         | 698/10792 [04:43<1:08:10,  2.47it/s, loss=0.0676, rank=0.0556, reg=0.0120]
train epoch 1/1:   6%|▋         | 698/10792 [04:44<1:08:10,  2.47it/s, loss=0.1515, rank=0.0297, reg=0.1217]
train epoch 1/1:   6%|▋         | 699/10792 [04:44<1:08:18,  2.46it/s, loss=0.1515, rank=0.0297, reg=0.1217]
train epoch 1/1:   6%|▋         | 699/10792 [04:44<1:08:18,  2.46it/s, loss=0.0935, rank=0.0375, reg=0.0560]
train epoch 1/1:   6%|▋         | 700/10792 [04:44<1:10:13,  2.39it/s, loss=0.0935, rank=0.0375, reg=0.0560]
train epoch 1/1:   6%|▋         | 700/10792 [04:44<1:10:13,  2.39it/s, loss=0.0934, rank=0.0392, reg=0.0542]
train epoch 1/1:   6%|▋         | 701/10792 [04:44<1:01:39,  2.73it/s, loss=0.0934, rank=0.0392, reg=0.0542]
train epoch 1/1:   6%|▋         | 701/10792 [04:45<1:01:39,  2.73it/s, loss=0.0580, rank=0.0218, reg=0.0362]
train epoch 1/1:   7%|▋         | 702/10792 [04:45<51:45,  3.25it/s, loss=0.0580, rank=0.0218, reg=0.0362]  
train epoch 1/1:   7%|▋         | 702/10792 [04:45<51:45,  3.25it/s, loss=0.0794, rank=0.0533, reg=0.0261]
train epoch 1/1:   7%|▋         | 703/10792 [04:45<50:36,  3.32it/s, loss=0.0794, rank=0.0533, reg=0.0261]
train epoch 1/1:   7%|▋         | 703/10792 [04:45<50:36,  3.32it/s, loss=0.1074, rank=0.0427, reg=0.0646]
train epoch 1/1:   7%|▋         | 704/10792 [04:45<53:24,  3.15it/s, loss=0.1074, rank=0.0427, reg=0.0646]
train epoch 1/1:   7%|▋         | 704/10792 [04:46<53:24,  3.15it/s, loss=0.0782, rank=0.0385, reg=0.0397]
train epoch 1/1:   7%|▋         | 705/10792 [04:46<1:05:41,  2.56it/s, loss=0.0782, rank=0.0385, reg=0.0397]
train epoch 1/1:   7%|▋         | 705/10792 [04:46<1:05:41,  2.56it/s, loss=0.0912, rank=0.0383, reg=0.0529]
train epoch 1/1:   7%|▋         | 706/10792 [04:46<1:02:41,  2.68it/s, loss=0.0912, rank=0.0383, reg=0.0529]
train epoch 1/1:   7%|▋         | 706/10792 [04:47<1:02:41,  2.68it/s, loss=0.0815, rank=0.0381, reg=0.0434]
train epoch 1/1:   7%|▋         | 707/10792 [04:47<1:04:30,  2.61it/s, loss=0.0815, rank=0.0381, reg=0.0434]
train epoch 1/1:   7%|▋         | 707/10792 [04:47<1:04:30,  2.61it/s, loss=0.1269, rank=0.0815, reg=0.0454]
train epoch 1/1:   7%|▋         | 708/10792 [04:47<1:00:58,  2.76it/s, loss=0.1269, rank=0.0815, reg=0.0454]
train epoch 1/1:   7%|▋         | 708/10792 [04:47<1:00:58,  2.76it/s, loss=0.0978, rank=0.0531, reg=0.0446]
train epoch 1/1:   7%|▋         | 709/10792 [04:47<1:15:02,  2.24it/s, loss=0.0978, rank=0.0531, reg=0.0446]
train epoch 1/1:   7%|▋         | 709/10792 [04:48<1:15:02,  2.24it/s, loss=0.0887, rank=0.0492, reg=0.0396]
train epoch 1/1:   7%|▋         | 710/10792 [04:48<1:06:32,  2.53it/s, loss=0.0887, rank=0.0492, reg=0.0396]
train epoch 1/1:   7%|▋         | 710/10792 [04:48<1:06:32,  2.53it/s, loss=0.0963, rank=0.0371, reg=0.0592]
train epoch 1/1:   7%|▋         | 711/10792 [04:48<1:11:52,  2.34it/s, loss=0.0963, rank=0.0371, reg=0.0592]
train epoch 1/1:   7%|▋         | 711/10792 [04:49<1:11:52,  2.34it/s, loss=0.1013, rank=0.0453, reg=0.0559]
train epoch 1/1:   7%|▋         | 712/10792 [04:49<1:05:39,  2.56it/s, loss=0.1013, rank=0.0453, reg=0.0559]
train epoch 1/1:   7%|▋         | 712/10792 [04:49<1:05:39,  2.56it/s, loss=0.1558, rank=0.0685, reg=0.0874]
train epoch 1/1:   7%|▋         | 713/10792 [04:49<1:16:02,  2.21it/s, loss=0.1558, rank=0.0685, reg=0.0874]
train epoch 1/1:   7%|▋         | 713/10792 [04:49<1:16:02,  2.21it/s, loss=0.1640, rank=0.0533, reg=0.1107]
train epoch 1/1:   7%|▋         | 714/10792 [04:49<1:05:07,  2.58it/s, loss=0.1640, rank=0.0533, reg=0.1107]
train epoch 1/1:   7%|▋         | 714/10792 [04:50<1:05:07,  2.58it/s, loss=0.0648, rank=0.0501, reg=0.0147]
train epoch 1/1:   7%|▋         | 715/10792 [04:50<1:08:56,  2.44it/s, loss=0.0648, rank=0.0501, reg=0.0147]
train epoch 1/1:   7%|▋         | 715/10792 [04:50<1:08:56,  2.44it/s, loss=0.0951, rank=0.0562, reg=0.0389]
train epoch 1/1:   7%|▋         | 716/10792 [04:50<1:11:26,  2.35it/s, loss=0.0951, rank=0.0562, reg=0.0389]
train epoch 1/1:   7%|▋         | 716/10792 [04:51<1:11:26,  2.35it/s, loss=0.1165, rank=0.0329, reg=0.0836]
train epoch 1/1:   7%|▋         | 717/10792 [04:51<1:20:31,  2.09it/s, loss=0.1165, rank=0.0329, reg=0.0836]
train epoch 1/1:   7%|▋         | 717/10792 [04:51<1:20:31,  2.09it/s, loss=0.1009, rank=0.0389, reg=0.0620]
train epoch 1/1:   7%|▋         | 718/10792 [04:51<1:22:04,  2.05it/s, loss=0.1009, rank=0.0389, reg=0.0620]
train epoch 1/1:   7%|▋         | 718/10792 [04:52<1:22:04,  2.05it/s, loss=0.1271, rank=0.0826, reg=0.0445]
train epoch 1/1:   7%|▋         | 719/10792 [04:52<1:07:34,  2.48it/s, loss=0.1271, rank=0.0826, reg=0.0445]
train epoch 1/1:   7%|▋         | 719/10792 [04:52<1:07:34,  2.48it/s, loss=0.0862, rank=0.0705, reg=0.0157]
train epoch 1/1:   7%|▋         | 720/10792 [04:52<1:15:28,  2.22it/s, loss=0.0862, rank=0.0705, reg=0.0157]
train epoch 1/1:   7%|▋         | 720/10792 [04:52<1:15:28,  2.22it/s, loss=0.1487, rank=0.0771, reg=0.0717]
train epoch 1/1:   7%|▋         | 721/10792 [04:52<1:03:22,  2.65it/s, loss=0.1487, rank=0.0771, reg=0.0717]
train epoch 1/1:   7%|▋         | 721/10792 [04:53<1:03:22,  2.65it/s, loss=0.0640, rank=0.0263, reg=0.0377]
train epoch 1/1:   7%|▋         | 722/10792 [04:53<1:17:13,  2.17it/s, loss=0.0640, rank=0.0263, reg=0.0377]
train epoch 1/1:   7%|▋         | 722/10792 [04:53<1:17:13,  2.17it/s, loss=0.0668, rank=0.0514, reg=0.0155]
train epoch 1/1:   7%|▋         | 723/10792 [04:53<1:05:02,  2.58it/s, loss=0.0668, rank=0.0514, reg=0.0155]
train epoch 1/1:   7%|▋         | 723/10792 [04:54<1:05:02,  2.58it/s, loss=0.0973, rank=0.0780, reg=0.0193]
train epoch 1/1:   7%|▋         | 724/10792 [04:54<1:07:19,  2.49it/s, loss=0.0973, rank=0.0780, reg=0.0193]
train epoch 1/1:   7%|▋         | 724/10792 [04:55<1:07:19,  2.49it/s, loss=0.1196, rank=0.0116, reg=0.1080]
train epoch 1/1:   7%|▋         | 725/10792 [04:55<1:38:57,  1.70it/s, loss=0.1196, rank=0.0116, reg=0.1080]
train epoch 1/1:   7%|▋         | 725/10792 [04:55<1:38:57,  1.70it/s, loss=0.0931, rank=0.0399, reg=0.0532]
train epoch 1/1:   7%|▋         | 726/10792 [04:55<1:28:54,  1.89it/s, loss=0.0931, rank=0.0399, reg=0.0532]
train epoch 1/1:   7%|▋         | 726/10792 [04:55<1:28:54,  1.89it/s, loss=0.1070, rank=0.0283, reg=0.0787]
train epoch 1/1:   7%|▋         | 727/10792 [04:55<1:15:06,  2.23it/s, loss=0.1070, rank=0.0283, reg=0.0787]
train epoch 1/1:   7%|▋         | 727/10792 [04:56<1:15:06,  2.23it/s, loss=0.1840, rank=0.1115, reg=0.0724]
train epoch 1/1:   7%|▋         | 728/10792 [04:56<1:00:21,  2.78it/s, loss=0.1840, rank=0.1115, reg=0.0724]
train epoch 1/1:   7%|▋         | 728/10792 [04:56<1:00:21,  2.78it/s, loss=0.1242, rank=0.0569, reg=0.0673]
train epoch 1/1:   7%|▋         | 729/10792 [04:56<50:34,  3.32it/s, loss=0.1242, rank=0.0569, reg=0.0673]  
train epoch 1/1:   7%|▋         | 729/10792 [04:56<50:34,  3.32it/s, loss=0.0355, rank=0.0173, reg=0.0182]
train epoch 1/1:   7%|▋         | 730/10792 [04:56<47:04,  3.56it/s, loss=0.0355, rank=0.0173, reg=0.0182]
train epoch 1/1:   7%|▋         | 730/10792 [04:56<47:04,  3.56it/s, loss=0.0882, rank=0.0577, reg=0.0305]
train epoch 1/1:   7%|▋         | 731/10792 [04:56<41:56,  4.00it/s, loss=0.0882, rank=0.0577, reg=0.0305]
train epoch 1/1:   7%|▋         | 731/10792 [04:57<41:56,  4.00it/s, loss=0.1075, rank=0.0476, reg=0.0600]
train epoch 1/1:   7%|▋         | 732/10792 [04:57<52:34,  3.19it/s, loss=0.1075, rank=0.0476, reg=0.0600]
train epoch 1/1:   7%|▋         | 732/10792 [04:57<52:34,  3.19it/s, loss=0.0954, rank=0.0721, reg=0.0232]
train epoch 1/1:   7%|▋         | 733/10792 [04:57<1:19:23,  2.11it/s, loss=0.0954, rank=0.0721, reg=0.0232]
train epoch 1/1:   7%|▋         | 733/10792 [04:58<1:19:23,  2.11it/s, loss=0.0760, rank=0.0552, reg=0.0208]
train epoch 1/1:   7%|▋         | 734/10792 [04:58<1:33:10,  1.80it/s, loss=0.0760, rank=0.0552, reg=0.0208]
train epoch 1/1:   7%|▋         | 734/10792 [04:58<1:33:10,  1.80it/s, loss=0.0881, rank=0.0698, reg=0.0183]
train epoch 1/1:   7%|▋         | 735/10792 [04:58<1:17:46,  2.16it/s, loss=0.0881, rank=0.0698, reg=0.0183]
train epoch 1/1:   7%|▋         | 735/10792 [04:59<1:17:46,  2.16it/s, loss=0.1425, rank=0.0320, reg=0.1105]
train epoch 1/1:   7%|▋         | 736/10792 [04:59<1:20:06,  2.09it/s, loss=0.1425, rank=0.0320, reg=0.1105]
train epoch 1/1:   7%|▋         | 736/10792 [05:00<1:20:06,  2.09it/s, loss=0.0802, rank=0.0338, reg=0.0464]
train epoch 1/1:   7%|▋         | 737/10792 [05:00<1:36:04,  1.74it/s, loss=0.0802, rank=0.0338, reg=0.0464]
train epoch 1/1:   7%|▋         | 737/10792 [05:00<1:36:04,  1.74it/s, loss=0.1091, rank=0.0174, reg=0.0916]
train epoch 1/1:   7%|▋         | 738/10792 [05:00<1:44:37,  1.60it/s, loss=0.1091, rank=0.0174, reg=0.0916]
train epoch 1/1:   7%|▋         | 738/10792 [05:01<1:44:37,  1.60it/s, loss=0.0972, rank=0.0661, reg=0.0311]
train epoch 1/1:   7%|▋         | 739/10792 [05:01<1:49:35,  1.53it/s, loss=0.0972, rank=0.0661, reg=0.0311]
train epoch 1/1:   7%|▋         | 739/10792 [05:02<1:49:35,  1.53it/s, loss=0.1178, rank=0.0397, reg=0.0780]
train epoch 1/1:   7%|▋         | 740/10792 [05:02<1:49:58,  1.52it/s, loss=0.1178, rank=0.0397, reg=0.0780]
train epoch 1/1:   7%|▋         | 740/10792 [05:02<1:49:58,  1.52it/s, loss=0.1281, rank=0.1159, reg=0.0123]
train epoch 1/1:   7%|▋         | 741/10792 [05:02<1:24:12,  1.99it/s, loss=0.1281, rank=0.1159, reg=0.0123]
train epoch 1/1:   7%|▋         | 741/10792 [05:02<1:24:12,  1.99it/s, loss=0.1172, rank=0.0757, reg=0.0415]
train epoch 1/1:   7%|▋         | 742/10792 [05:02<1:19:38,  2.10it/s, loss=0.1172, rank=0.0757, reg=0.0415]
train epoch 1/1:   7%|▋         | 742/10792 [05:03<1:19:38,  2.10it/s, loss=0.0784, rank=0.0645, reg=0.0139]
train epoch 1/1:   7%|▋         | 743/10792 [05:03<1:26:10,  1.94it/s, loss=0.0784, rank=0.0645, reg=0.0139]
train epoch 1/1:   7%|▋         | 743/10792 [05:04<1:26:10,  1.94it/s, loss=0.0551, rank=0.0397, reg=0.0154]
train epoch 1/1:   7%|▋         | 744/10792 [05:04<1:32:36,  1.81it/s, loss=0.0551, rank=0.0397, reg=0.0154]
train epoch 1/1:   7%|▋         | 744/10792 [05:04<1:32:36,  1.81it/s, loss=0.0468, rank=0.0283, reg=0.0185]
train epoch 1/1:   7%|▋         | 745/10792 [05:04<1:28:24,  1.89it/s, loss=0.0468, rank=0.0283, reg=0.0185]
train epoch 1/1:   7%|▋         | 745/10792 [05:05<1:28:24,  1.89it/s, loss=0.1002, rank=0.0784, reg=0.0218]
train epoch 1/1:   7%|▋         | 746/10792 [05:05<1:38:48,  1.69it/s, loss=0.1002, rank=0.0784, reg=0.0218]
train epoch 1/1:   7%|▋         | 746/10792 [05:05<1:38:48,  1.69it/s, loss=0.1182, rank=0.0632, reg=0.0550]
train epoch 1/1:   7%|▋         | 747/10792 [05:05<1:17:47,  2.15it/s, loss=0.1182, rank=0.0632, reg=0.0550]
train epoch 1/1:   7%|▋         | 747/10792 [05:06<1:17:47,  2.15it/s, loss=0.0760, rank=0.0348, reg=0.0412]
train epoch 1/1:   7%|▋         | 748/10792 [05:06<1:28:55,  1.88it/s, loss=0.0760, rank=0.0348, reg=0.0412]
train epoch 1/1:   7%|▋         | 748/10792 [05:06<1:28:55,  1.88it/s, loss=0.0900, rank=0.0285, reg=0.0615]
train epoch 1/1:   7%|▋         | 749/10792 [05:06<1:41:07,  1.66it/s, loss=0.0900, rank=0.0285, reg=0.0615]
train epoch 1/1:   7%|▋         | 749/10792 [05:07<1:41:07,  1.66it/s, loss=0.0777, rank=0.0430, reg=0.0347]
train epoch 1/1:   7%|▋         | 750/10792 [05:07<1:22:14,  2.04it/s, loss=0.0777, rank=0.0430, reg=0.0347]
train epoch 1/1:   7%|▋         | 750/10792 [05:07<1:22:14,  2.04it/s, loss=0.0937, rank=0.0392, reg=0.0545]
train epoch 1/1:   7%|▋         | 751/10792 [05:07<1:24:35,  1.98it/s, loss=0.0937, rank=0.0392, reg=0.0545]
train epoch 1/1:   7%|▋         | 751/10792 [05:08<1:24:35,  1.98it/s, loss=0.1623, rank=0.0308, reg=0.1315]
train epoch 1/1:   7%|▋         | 752/10792 [05:08<1:52:25,  1.49it/s, loss=0.1623, rank=0.0308, reg=0.1315]
train epoch 1/1:   7%|▋         | 752/10792 [05:09<1:52:25,  1.49it/s, loss=0.1058, rank=0.0538, reg=0.0521]
train epoch 1/1:   7%|▋         | 753/10792 [05:09<1:28:34,  1.89it/s, loss=0.1058, rank=0.0538, reg=0.0521]
train epoch 1/1:   7%|▋         | 753/10792 [05:09<1:28:34,  1.89it/s, loss=0.0903, rank=0.0490, reg=0.0413]
train epoch 1/1:   7%|▋         | 754/10792 [05:09<1:17:49,  2.15it/s, loss=0.0903, rank=0.0490, reg=0.0413]
train epoch 1/1:   7%|▋         | 754/10792 [05:09<1:17:49,  2.15it/s, loss=0.0990, rank=0.0535, reg=0.0456]
train epoch 1/1:   7%|▋         | 755/10792 [05:09<1:14:46,  2.24it/s, loss=0.0990, rank=0.0535, reg=0.0456]
train epoch 1/1:   7%|▋         | 755/10792 [05:10<1:14:46,  2.24it/s, loss=0.1019, rank=0.0625, reg=0.0394]
train epoch 1/1:   7%|▋         | 756/10792 [05:10<1:13:35,  2.27it/s, loss=0.1019, rank=0.0625, reg=0.0394]
train epoch 1/1:   7%|▋         | 756/10792 [05:10<1:13:35,  2.27it/s, loss=0.0814, rank=0.0357, reg=0.0457]
train epoch 1/1:   7%|▋         | 757/10792 [05:10<1:11:38,  2.33it/s, loss=0.0814, rank=0.0357, reg=0.0457]
train epoch 1/1:   7%|▋         | 757/10792 [05:11<1:11:38,  2.33it/s, loss=0.0708, rank=0.0421, reg=0.0287]
train epoch 1/1:   7%|▋         | 758/10792 [05:11<1:17:16,  2.16it/s, loss=0.0708, rank=0.0421, reg=0.0287]
train epoch 1/1:   7%|▋         | 758/10792 [05:11<1:17:16,  2.16it/s, loss=0.0869, rank=0.0281, reg=0.0588]
train epoch 1/1:   7%|▋         | 759/10792 [05:11<1:29:37,  1.87it/s, loss=0.0869, rank=0.0281, reg=0.0588]
train epoch 1/1:   7%|▋         | 759/10792 [05:12<1:29:37,  1.87it/s, loss=0.0610, rank=0.0238, reg=0.0372]
train epoch 1/1:   7%|▋         | 760/10792 [05:12<1:18:30,  2.13it/s, loss=0.0610, rank=0.0238, reg=0.0372]
train epoch 1/1:   7%|▋         | 760/10792 [05:12<1:18:30,  2.13it/s, loss=0.1121, rank=0.0945, reg=0.0175]
train epoch 1/1:   7%|▋         | 761/10792 [05:12<1:19:27,  2.10it/s, loss=0.1121, rank=0.0945, reg=0.0175]
train epoch 1/1:   7%|▋         | 761/10792 [05:12<1:19:27,  2.10it/s, loss=0.1048, rank=0.0608, reg=0.0440]
train epoch 1/1:   7%|▋         | 762/10792 [05:12<1:06:59,  2.50it/s, loss=0.1048, rank=0.0608, reg=0.0440]
train epoch 1/1:   7%|▋         | 762/10792 [05:13<1:06:59,  2.50it/s, loss=0.0727, rank=0.0548, reg=0.0179]
train epoch 1/1:   7%|▋         | 763/10792 [05:13<1:00:21,  2.77it/s, loss=0.0727, rank=0.0548, reg=0.0179]
train epoch 1/1:   7%|▋         | 763/10792 [05:13<1:00:21,  2.77it/s, loss=0.0902, rank=0.0480, reg=0.0422]
train epoch 1/1:   7%|▋         | 764/10792 [05:13<59:32,  2.81it/s, loss=0.0902, rank=0.0480, reg=0.0422]  
train epoch 1/1:   7%|▋         | 764/10792 [05:13<59:32,  2.81it/s, loss=0.0799, rank=0.0628, reg=0.0172]
train epoch 1/1:   7%|▋         | 765/10792 [05:13<48:12,  3.47it/s, loss=0.0799, rank=0.0628, reg=0.0172]
train epoch 1/1:   7%|▋         | 765/10792 [05:14<48:12,  3.47it/s, loss=0.0679, rank=0.0507, reg=0.0171]
train epoch 1/1:   7%|▋         | 766/10792 [05:14<1:07:42,  2.47it/s, loss=0.0679, rank=0.0507, reg=0.0171]
train epoch 1/1:   7%|▋         | 766/10792 [05:15<1:07:42,  2.47it/s, loss=0.1333, rank=0.0359, reg=0.0974]
train epoch 1/1:   7%|▋         | 767/10792 [05:15<1:24:39,  1.97it/s, loss=0.1333, rank=0.0359, reg=0.0974]
train epoch 1/1:   7%|▋         | 767/10792 [05:15<1:24:39,  1.97it/s, loss=0.0425, rank=0.0114, reg=0.0311]
train epoch 1/1:   7%|▋         | 768/10792 [05:15<1:36:56,  1.72it/s, loss=0.0425, rank=0.0114, reg=0.0311]
train epoch 1/1:   7%|▋         | 768/10792 [05:16<1:36:56,  1.72it/s, loss=0.0745, rank=0.0491, reg=0.0254]
train epoch 1/1:   7%|▋         | 769/10792 [05:16<1:39:37,  1.68it/s, loss=0.0745, rank=0.0491, reg=0.0254]
train epoch 1/1:   7%|▋         | 769/10792 [05:17<1:39:37,  1.68it/s, loss=0.1024, rank=0.0537, reg=0.0487]
train epoch 1/1:   7%|▋         | 770/10792 [05:17<1:47:12,  1.56it/s, loss=0.1024, rank=0.0537, reg=0.0487]
train epoch 1/1:   7%|▋         | 770/10792 [05:17<1:47:12,  1.56it/s, loss=0.0679, rank=0.0452, reg=0.0228]
train epoch 1/1:   7%|▋         | 771/10792 [05:17<1:34:21,  1.77it/s, loss=0.0679, rank=0.0452, reg=0.0228]
train epoch 1/1:   7%|▋         | 771/10792 [05:17<1:34:21,  1.77it/s, loss=0.0812, rank=0.0430, reg=0.0382]
train epoch 1/1:   7%|▋         | 772/10792 [05:17<1:18:38,  2.12it/s, loss=0.0812, rank=0.0430, reg=0.0382]
train epoch 1/1:   7%|▋         | 772/10792 [05:18<1:18:38,  2.12it/s, loss=0.0635, rank=0.0427, reg=0.0208]
train epoch 1/1:   7%|▋         | 773/10792 [05:18<1:06:51,  2.50it/s, loss=0.0635, rank=0.0427, reg=0.0208]
train epoch 1/1:   7%|▋         | 773/10792 [05:18<1:06:51,  2.50it/s, loss=0.0596, rank=0.0359, reg=0.0238]
train epoch 1/1:   7%|▋         | 774/10792 [05:18<59:25,  2.81it/s, loss=0.0596, rank=0.0359, reg=0.0238]  
train epoch 1/1:   7%|▋         | 774/10792 [05:18<59:25,  2.81it/s, loss=0.1490, rank=0.0034, reg=0.1456]
train epoch 1/1:   7%|▋         | 775/10792 [05:18<1:04:40,  2.58it/s, loss=0.1490, rank=0.0034, reg=0.1456]
train epoch 1/1:   7%|▋         | 775/10792 [05:19<1:04:40,  2.58it/s, loss=0.1558, rank=0.1005, reg=0.0553]
train epoch 1/1:   7%|▋         | 776/10792 [05:19<1:05:39,  2.54it/s, loss=0.1558, rank=0.1005, reg=0.0553]
train epoch 1/1:   7%|▋         | 776/10792 [05:19<1:05:39,  2.54it/s, loss=0.1603, rank=0.0886, reg=0.0717]
train epoch 1/1:   7%|▋         | 777/10792 [05:19<54:43,  3.05it/s, loss=0.1603, rank=0.0886, reg=0.0717]  
train epoch 1/1:   7%|▋         | 777/10792 [05:19<54:43,  3.05it/s, loss=0.0694, rank=0.0289, reg=0.0405]
train epoch 1/1:   7%|▋         | 778/10792 [05:19<1:08:54,  2.42it/s, loss=0.0694, rank=0.0289, reg=0.0405]
train epoch 1/1:   7%|▋         | 778/10792 [05:20<1:08:54,  2.42it/s, loss=0.1374, rank=0.0412, reg=0.0962]
train epoch 1/1:   7%|▋         | 779/10792 [05:20<1:16:37,  2.18it/s, loss=0.1374, rank=0.0412, reg=0.0962]
train epoch 1/1:   7%|▋         | 779/10792 [05:20<1:16:37,  2.18it/s, loss=0.0841, rank=0.0483, reg=0.0358]
train epoch 1/1:   7%|▋         | 780/10792 [05:20<1:04:25,  2.59it/s, loss=0.0841, rank=0.0483, reg=0.0358]
train epoch 1/1:   7%|▋         | 780/10792 [05:20<1:04:25,  2.59it/s, loss=0.1147, rank=0.0579, reg=0.0568]
train epoch 1/1:   7%|▋         | 781/10792 [05:20<54:29,  3.06it/s, loss=0.1147, rank=0.0579, reg=0.0568]  
train epoch 1/1:   7%|▋         | 781/10792 [05:21<54:29,  3.06it/s, loss=0.0938, rank=0.0404, reg=0.0533]
train epoch 1/1:   7%|▋         | 782/10792 [05:21<1:06:22,  2.51it/s, loss=0.0938, rank=0.0404, reg=0.0533]
train epoch 1/1:   7%|▋         | 782/10792 [05:21<1:06:22,  2.51it/s, loss=0.0684, rank=0.0474, reg=0.0209]
train epoch 1/1:   7%|▋         | 783/10792 [05:21<55:16,  3.02it/s, loss=0.0684, rank=0.0474, reg=0.0209]  
train epoch 1/1:   7%|▋         | 783/10792 [05:22<55:16,  3.02it/s, loss=0.0928, rank=0.0428, reg=0.0500]
train epoch 1/1:   7%|▋         | 784/10792 [05:22<1:08:27,  2.44it/s, loss=0.0928, rank=0.0428, reg=0.0500]
train epoch 1/1:   7%|▋         | 784/10792 [05:22<1:08:27,  2.44it/s, loss=0.0619, rank=0.0353, reg=0.0266]
train epoch 1/1:   7%|▋         | 785/10792 [05:22<57:01,  2.92it/s, loss=0.0619, rank=0.0353, reg=0.0266]  
train epoch 1/1:   7%|▋         | 785/10792 [05:23<57:01,  2.92it/s, loss=0.0716, rank=0.0432, reg=0.0284]
train epoch 1/1:   7%|▋         | 786/10792 [05:23<1:13:56,  2.26it/s, loss=0.0716, rank=0.0432, reg=0.0284]
train epoch 1/1:   7%|▋         | 786/10792 [05:23<1:13:56,  2.26it/s, loss=0.2137, rank=0.0361, reg=0.1777]
train epoch 1/1:   7%|▋         | 787/10792 [05:23<1:08:38,  2.43it/s, loss=0.2137, rank=0.0361, reg=0.1777]
train epoch 1/1:   7%|▋         | 787/10792 [05:23<1:08:38,  2.43it/s, loss=0.0768, rank=0.0413, reg=0.0355]
train epoch 1/1:   7%|▋         | 788/10792 [05:23<1:01:21,  2.72it/s, loss=0.0768, rank=0.0413, reg=0.0355]
train epoch 1/1:   7%|▋         | 788/10792 [05:23<1:01:21,  2.72it/s, loss=0.0932, rank=0.0659, reg=0.0272]
train epoch 1/1:   7%|▋         | 789/10792 [05:23<51:09,  3.26it/s, loss=0.0932, rank=0.0659, reg=0.0272]  
train epoch 1/1:   7%|▋         | 789/10792 [05:24<51:09,  3.26it/s, loss=0.0812, rank=0.0478, reg=0.0334]
train epoch 1/1:   7%|▋         | 790/10792 [05:24<44:46,  3.72it/s, loss=0.0812, rank=0.0478, reg=0.0334]
train epoch 1/1:   7%|▋         | 790/10792 [05:24<44:46,  3.72it/s, loss=0.0907, rank=0.0571, reg=0.0336]
train epoch 1/1:   7%|▋         | 791/10792 [05:24<46:24,  3.59it/s, loss=0.0907, rank=0.0571, reg=0.0336]
train epoch 1/1:   7%|▋         | 791/10792 [05:24<46:24,  3.59it/s, loss=0.0926, rank=0.0313, reg=0.0613]
train epoch 1/1:   7%|▋         | 792/10792 [05:24<44:47,  3.72it/s, loss=0.0926, rank=0.0313, reg=0.0613]
train epoch 1/1:   7%|▋         | 792/10792 [05:24<44:47,  3.72it/s, loss=0.1137, rank=0.0702, reg=0.0435]
train epoch 1/1:   7%|▋         | 793/10792 [05:24<47:26,  3.51it/s, loss=0.1137, rank=0.0702, reg=0.0435]
train epoch 1/1:   7%|▋         | 793/10792 [05:25<47:26,  3.51it/s, loss=0.0896, rank=0.0401, reg=0.0495]
train epoch 1/1:   7%|▋         | 794/10792 [05:25<1:00:11,  2.77it/s, loss=0.0896, rank=0.0401, reg=0.0495]
train epoch 1/1:   7%|▋         | 794/10792 [05:25<1:00:11,  2.77it/s, loss=0.0221, rank=0.0000, reg=0.0221]
train epoch 1/1:   7%|▋         | 795/10792 [05:25<52:37,  3.17it/s, loss=0.0221, rank=0.0000, reg=0.0221]  
train epoch 1/1:   7%|▋         | 795/10792 [05:26<52:37,  3.17it/s, loss=0.0419, rank=0.0152, reg=0.0267]
train epoch 1/1:   7%|▋         | 796/10792 [05:26<1:05:19,  2.55it/s, loss=0.0419, rank=0.0152, reg=0.0267]
train epoch 1/1:   7%|▋         | 796/10792 [05:26<1:05:19,  2.55it/s, loss=0.1546, rank=0.0638, reg=0.0908]
train epoch 1/1:   7%|▋         | 797/10792 [05:26<1:00:35,  2.75it/s, loss=0.1546, rank=0.0638, reg=0.0908]
train epoch 1/1:   7%|▋         | 797/10792 [05:27<1:00:35,  2.75it/s, loss=0.2050, rank=0.0524, reg=0.1526]
train epoch 1/1:   7%|▋         | 798/10792 [05:27<1:19:55,  2.08it/s, loss=0.2050, rank=0.0524, reg=0.1526]
train epoch 1/1:   7%|▋         | 798/10792 [05:27<1:19:55,  2.08it/s, loss=0.1421, rank=0.0517, reg=0.0903]
train epoch 1/1:   7%|▋         | 799/10792 [05:27<1:10:30,  2.36it/s, loss=0.1421, rank=0.0517, reg=0.0903]
train epoch 1/1:   7%|▋         | 799/10792 [05:27<1:10:30,  2.36it/s, loss=0.0610, rank=0.0271, reg=0.0338]
train epoch 1/1:   7%|▋         | 800/10792 [05:27<1:03:41,  2.61it/s, loss=0.0610, rank=0.0271, reg=0.0338]
train epoch 1/1:   7%|▋         | 800/10792 [05:28<1:03:41,  2.61it/s, loss=0.0401, rank=0.0157, reg=0.0244]
train epoch 1/1:   7%|▋         | 801/10792 [05:28<56:00,  2.97it/s, loss=0.0401, rank=0.0157, reg=0.0244]  
train epoch 1/1:   7%|▋         | 801/10792 [05:28<56:00,  2.97it/s, loss=0.0503, rank=0.0182, reg=0.0322]
train epoch 1/1:   7%|▋         | 802/10792 [05:28<51:30,  3.23it/s, loss=0.0503, rank=0.0182, reg=0.0322]
train epoch 1/1:   7%|▋         | 802/10792 [05:28<51:30,  3.23it/s, loss=0.0852, rank=0.0421, reg=0.0431]
train epoch 1/1:   7%|▋         | 803/10792 [05:28<51:55,  3.21it/s, loss=0.0852, rank=0.0421, reg=0.0431]
train epoch 1/1:   7%|▋         | 803/10792 [05:28<51:55,  3.21it/s, loss=0.0808, rank=0.0578, reg=0.0229]
train epoch 1/1:   7%|▋         | 804/10792 [05:28<52:59,  3.14it/s, loss=0.0808, rank=0.0578, reg=0.0229]
train epoch 1/1:   7%|▋         | 804/10792 [05:29<52:59,  3.14it/s, loss=0.0485, rank=0.0278, reg=0.0208]
train epoch 1/1:   7%|▋         | 805/10792 [05:29<1:03:30,  2.62it/s, loss=0.0485, rank=0.0278, reg=0.0208]
train epoch 1/1:   7%|▋         | 805/10792 [05:29<1:03:30,  2.62it/s, loss=0.0706, rank=0.0510, reg=0.0196]
train epoch 1/1:   7%|▋         | 806/10792 [05:29<1:05:50,  2.53it/s, loss=0.0706, rank=0.0510, reg=0.0196]
train epoch 1/1:   7%|▋         | 806/10792 [05:30<1:05:50,  2.53it/s, loss=0.1188, rank=0.0698, reg=0.0490]
train epoch 1/1:   7%|▋         | 807/10792 [05:30<1:00:33,  2.75it/s, loss=0.1188, rank=0.0698, reg=0.0490]
train epoch 1/1:   7%|▋         | 807/10792 [05:30<1:00:33,  2.75it/s, loss=0.0839, rank=0.0655, reg=0.0184]
train epoch 1/1:   7%|▋         | 808/10792 [05:30<53:04,  3.14it/s, loss=0.0839, rank=0.0655, reg=0.0184]  
train epoch 1/1:   7%|▋         | 808/10792 [05:30<53:04,  3.14it/s, loss=0.0359, rank=0.0258, reg=0.0101]
train epoch 1/1:   7%|▋         | 809/10792 [05:30<47:00,  3.54it/s, loss=0.0359, rank=0.0258, reg=0.0101]
train epoch 1/1:   7%|▋         | 809/10792 [05:31<47:00,  3.54it/s, loss=0.0781, rank=0.0507, reg=0.0273]
train epoch 1/1:   8%|▊         | 810/10792 [05:31<1:04:09,  2.59it/s, loss=0.0781, rank=0.0507, reg=0.0273]
train epoch 1/1:   8%|▊         | 810/10792 [05:31<1:04:09,  2.59it/s, loss=0.0940, rank=0.0695, reg=0.0246]
train epoch 1/1:   8%|▊         | 811/10792 [05:31<58:40,  2.84it/s, loss=0.0940, rank=0.0695, reg=0.0246]  
train epoch 1/1:   8%|▊         | 811/10792 [05:32<58:40,  2.84it/s, loss=0.0737, rank=0.0406, reg=0.0331]
train epoch 1/1:   8%|▊         | 812/10792 [05:32<1:19:03,  2.10it/s, loss=0.0737, rank=0.0406, reg=0.0331]
train epoch 1/1:   8%|▊         | 812/10792 [05:32<1:19:03,  2.10it/s, loss=0.0981, rank=0.0573, reg=0.0408]
train epoch 1/1:   8%|▊         | 813/10792 [05:32<1:03:14,  2.63it/s, loss=0.0981, rank=0.0573, reg=0.0408]
train epoch 1/1:   8%|▊         | 813/10792 [05:32<1:03:14,  2.63it/s, loss=0.0695, rank=0.0497, reg=0.0198]
train epoch 1/1:   8%|▊         | 814/10792 [05:32<53:55,  3.08it/s, loss=0.0695, rank=0.0497, reg=0.0198]  
train epoch 1/1:   8%|▊         | 814/10792 [05:32<53:55,  3.08it/s, loss=0.0924, rank=0.0862, reg=0.0062]
train epoch 1/1:   8%|▊         | 815/10792 [05:32<53:50,  3.09it/s, loss=0.0924, rank=0.0862, reg=0.0062]
train epoch 1/1:   8%|▊         | 815/10792 [05:33<53:50,  3.09it/s, loss=0.1702, rank=0.0358, reg=0.1344]
train epoch 1/1:   8%|▊         | 816/10792 [05:33<1:14:41,  2.23it/s, loss=0.1702, rank=0.0358, reg=0.1344]
train epoch 1/1:   8%|▊         | 816/10792 [05:34<1:14:41,  2.23it/s, loss=0.1181, rank=0.0857, reg=0.0324]
train epoch 1/1:   8%|▊         | 817/10792 [05:34<1:14:23,  2.23it/s, loss=0.1181, rank=0.0857, reg=0.0324]
train epoch 1/1:   8%|▊         | 817/10792 [05:34<1:14:23,  2.23it/s, loss=0.0706, rank=0.0474, reg=0.0232]
train epoch 1/1:   8%|▊         | 818/10792 [05:34<1:06:24,  2.50it/s, loss=0.0706, rank=0.0474, reg=0.0232]
train epoch 1/1:   8%|▊         | 818/10792 [05:35<1:06:24,  2.50it/s, loss=0.0522, rank=0.0407, reg=0.0115]
train epoch 1/1:   8%|▊         | 819/10792 [05:35<1:22:21,  2.02it/s, loss=0.0522, rank=0.0407, reg=0.0115]
train epoch 1/1:   8%|▊         | 819/10792 [05:35<1:22:21,  2.02it/s, loss=0.0573, rank=0.0377, reg=0.0195]
train epoch 1/1:   8%|▊         | 820/10792 [05:35<1:20:00,  2.08it/s, loss=0.0573, rank=0.0377, reg=0.0195]
train epoch 1/1:   8%|▊         | 820/10792 [05:35<1:20:00,  2.08it/s, loss=0.0943, rank=0.0260, reg=0.0683]
train epoch 1/1:   8%|▊         | 821/10792 [05:35<1:04:17,  2.58it/s, loss=0.0943, rank=0.0260, reg=0.0683]
train epoch 1/1:   8%|▊         | 821/10792 [05:36<1:04:17,  2.58it/s, loss=0.1172, rank=0.0656, reg=0.0516]
train epoch 1/1:   8%|▊         | 822/10792 [05:36<57:50,  2.87it/s, loss=0.1172, rank=0.0656, reg=0.0516]  
train epoch 1/1:   8%|▊         | 822/10792 [05:36<57:50,  2.87it/s, loss=0.0593, rank=0.0400, reg=0.0193]
train epoch 1/1:   8%|▊         | 823/10792 [05:36<1:03:02,  2.64it/s, loss=0.0593, rank=0.0400, reg=0.0193]
train epoch 1/1:   8%|▊         | 823/10792 [05:37<1:03:02,  2.64it/s, loss=0.1091, rank=0.0718, reg=0.0373]
train epoch 1/1:   8%|▊         | 824/10792 [05:37<1:26:50,  1.91it/s, loss=0.1091, rank=0.0718, reg=0.0373]
train epoch 1/1:   8%|▊         | 824/10792 [05:37<1:26:50,  1.91it/s, loss=0.1333, rank=0.0921, reg=0.0412]
train epoch 1/1:   8%|▊         | 825/10792 [05:37<1:12:18,  2.30it/s, loss=0.1333, rank=0.0921, reg=0.0412]
train epoch 1/1:   8%|▊         | 825/10792 [05:37<1:12:18,  2.30it/s, loss=0.0766, rank=0.0384, reg=0.0382]
train epoch 1/1:   8%|▊         | 826/10792 [05:37<1:04:14,  2.59it/s, loss=0.0766, rank=0.0384, reg=0.0382]
train epoch 1/1:   8%|▊         | 826/10792 [05:38<1:04:14,  2.59it/s, loss=0.0628, rank=0.0294, reg=0.0334]
train epoch 1/1:   8%|▊         | 827/10792 [05:38<1:23:00,  2.00it/s, loss=0.0628, rank=0.0294, reg=0.0334]
train epoch 1/1:   8%|▊         | 827/10792 [05:38<1:23:00,  2.00it/s, loss=0.0844, rank=0.0562, reg=0.0282]
train epoch 1/1:   8%|▊         | 828/10792 [05:38<1:10:42,  2.35it/s, loss=0.0844, rank=0.0562, reg=0.0282]
train epoch 1/1:   8%|▊         | 828/10792 [05:39<1:10:42,  2.35it/s, loss=0.0748, rank=0.0537, reg=0.0212]
train epoch 1/1:   8%|▊         | 829/10792 [05:39<58:46,  2.82it/s, loss=0.0748, rank=0.0537, reg=0.0212]  
train epoch 1/1:   8%|▊         | 829/10792 [05:39<58:46,  2.82it/s, loss=0.0857, rank=0.0627, reg=0.0230]
train epoch 1/1:   8%|▊         | 830/10792 [05:39<59:03,  2.81it/s, loss=0.0857, rank=0.0627, reg=0.0230]
train epoch 1/1:   8%|▊         | 830/10792 [05:39<59:03,  2.81it/s, loss=0.0644, rank=0.0329, reg=0.0315]
train epoch 1/1:   8%|▊         | 831/10792 [05:39<47:56,  3.46it/s, loss=0.0644, rank=0.0329, reg=0.0315]
train epoch 1/1:   8%|▊         | 831/10792 [05:39<47:56,  3.46it/s, loss=0.1127, rank=0.0737, reg=0.0390]
train epoch 1/1:   8%|▊         | 832/10792 [05:39<39:33,  4.20it/s, loss=0.1127, rank=0.0737, reg=0.0390]
train epoch 1/1:   8%|▊         | 832/10792 [05:40<39:33,  4.20it/s, loss=0.0970, rank=0.0721, reg=0.0249]
train epoch 1/1:   8%|▊         | 833/10792 [05:40<46:58,  3.53it/s, loss=0.0970, rank=0.0721, reg=0.0249]
train epoch 1/1:   8%|▊         | 833/10792 [05:40<46:58,  3.53it/s, loss=0.1133, rank=0.0396, reg=0.0737]
train epoch 1/1:   8%|▊         | 834/10792 [05:40<57:51,  2.87it/s, loss=0.1133, rank=0.0396, reg=0.0737]
train epoch 1/1:   8%|▊         | 834/10792 [05:41<57:51,  2.87it/s, loss=0.0442, rank=0.0293, reg=0.0149]
train epoch 1/1:   8%|▊         | 835/10792 [05:41<1:18:25,  2.12it/s, loss=0.0442, rank=0.0293, reg=0.0149]
train epoch 1/1:   8%|▊         | 835/10792 [05:41<1:18:25,  2.12it/s, loss=0.0714, rank=0.0531, reg=0.0183]
train epoch 1/1:   8%|▊         | 836/10792 [05:41<1:03:22,  2.62it/s, loss=0.0714, rank=0.0531, reg=0.0183]
train epoch 1/1:   8%|▊         | 836/10792 [05:41<1:03:22,  2.62it/s, loss=0.0891, rank=0.0551, reg=0.0340]
train epoch 1/1:   8%|▊         | 837/10792 [05:41<51:57,  3.19it/s, loss=0.0891, rank=0.0551, reg=0.0340]  
train epoch 1/1:   8%|▊         | 837/10792 [05:41<51:57,  3.19it/s, loss=0.1321, rank=0.0895, reg=0.0427]
train epoch 1/1:   8%|▊         | 838/10792 [05:41<48:45,  3.40it/s, loss=0.1321, rank=0.0895, reg=0.0427]
train epoch 1/1:   8%|▊         | 838/10792 [05:42<48:45,  3.40it/s, loss=0.1032, rank=0.0401, reg=0.0631]
train epoch 1/1:   8%|▊         | 839/10792 [05:42<44:36,  3.72it/s, loss=0.1032, rank=0.0401, reg=0.0631]
train epoch 1/1:   8%|▊         | 839/10792 [05:42<44:36,  3.72it/s, loss=0.2106, rank=0.1638, reg=0.0468]
train epoch 1/1:   8%|▊         | 840/10792 [05:42<38:41,  4.29it/s, loss=0.2106, rank=0.1638, reg=0.0468]
train epoch 1/1:   8%|▊         | 840/10792 [05:43<38:41,  4.29it/s, loss=0.0887, rank=0.0341, reg=0.0546]
train epoch 1/1:   8%|▊         | 841/10792 [05:43<1:28:39,  1.87it/s, loss=0.0887, rank=0.0341, reg=0.0546]
train epoch 1/1:   8%|▊         | 841/10792 [05:43<1:28:39,  1.87it/s, loss=0.1059, rank=0.0714, reg=0.0346]
train epoch 1/1:   8%|▊         | 842/10792 [05:43<1:12:52,  2.28it/s, loss=0.1059, rank=0.0714, reg=0.0346]
train epoch 1/1:   8%|▊         | 842/10792 [05:44<1:12:52,  2.28it/s, loss=0.0855, rank=0.0446, reg=0.0409]
train epoch 1/1:   8%|▊         | 843/10792 [05:44<1:21:34,  2.03it/s, loss=0.0855, rank=0.0446, reg=0.0409]
train epoch 1/1:   8%|▊         | 843/10792 [05:45<1:21:34,  2.03it/s, loss=0.2233, rank=0.1639, reg=0.0594]
train epoch 1/1:   8%|▊         | 844/10792 [05:45<1:51:02,  1.49it/s, loss=0.2233, rank=0.1639, reg=0.0594]
train epoch 1/1:   8%|▊         | 844/10792 [05:45<1:51:02,  1.49it/s, loss=0.0691, rank=0.0391, reg=0.0299]
train epoch 1/1:   8%|▊         | 845/10792 [05:45<1:34:12,  1.76it/s, loss=0.0691, rank=0.0391, reg=0.0299]
train epoch 1/1:   8%|▊         | 845/10792 [05:46<1:34:12,  1.76it/s, loss=0.0554, rank=0.0366, reg=0.0187]
train epoch 1/1:   8%|▊         | 846/10792 [05:46<1:30:18,  1.84it/s, loss=0.0554, rank=0.0366, reg=0.0187]
train epoch 1/1:   8%|▊         | 846/10792 [05:46<1:30:18,  1.84it/s, loss=0.1122, rank=0.0670, reg=0.0452]
train epoch 1/1:   8%|▊         | 847/10792 [05:46<1:11:13,  2.33it/s, loss=0.1122, rank=0.0670, reg=0.0452]
train epoch 1/1:   8%|▊         | 847/10792 [05:46<1:11:13,  2.33it/s, loss=0.1628, rank=0.0735, reg=0.0893]
train epoch 1/1:   8%|▊         | 848/10792 [05:46<1:05:57,  2.51it/s, loss=0.1628, rank=0.0735, reg=0.0893]
train epoch 1/1:   8%|▊         | 848/10792 [05:47<1:05:57,  2.51it/s, loss=0.0567, rank=0.0294, reg=0.0273]
train epoch 1/1:   8%|▊         | 849/10792 [05:47<1:20:09,  2.07it/s, loss=0.0567, rank=0.0294, reg=0.0273]
train epoch 1/1:   8%|▊         | 849/10792 [05:48<1:20:09,  2.07it/s, loss=0.1271, rank=0.0822, reg=0.0449]
train epoch 1/1:   8%|▊         | 850/10792 [05:48<1:34:03,  1.76it/s, loss=0.1271, rank=0.0822, reg=0.0449]
train epoch 1/1:   8%|▊         | 850/10792 [05:48<1:34:03,  1.76it/s, loss=0.1032, rank=0.0511, reg=0.0521]
train epoch 1/1:   8%|▊         | 851/10792 [05:48<1:22:46,  2.00it/s, loss=0.1032, rank=0.0511, reg=0.0521]
train epoch 1/1:   8%|▊         | 851/10792 [05:49<1:22:46,  2.00it/s, loss=0.1579, rank=0.0737, reg=0.0842]
train epoch 1/1:   8%|▊         | 852/10792 [05:49<1:45:24,  1.57it/s, loss=0.1579, rank=0.0737, reg=0.0842]
train epoch 1/1:   8%|▊         | 852/10792 [05:49<1:45:24,  1.57it/s, loss=0.1925, rank=0.0732, reg=0.1193]
train epoch 1/1:   8%|▊         | 853/10792 [05:49<1:35:27,  1.74it/s, loss=0.1925, rank=0.0732, reg=0.1193]
train epoch 1/1:   8%|▊         | 853/10792 [05:50<1:35:27,  1.74it/s, loss=0.0539, rank=0.0154, reg=0.0385]
train epoch 1/1:   8%|▊         | 854/10792 [05:50<1:58:35,  1.40it/s, loss=0.0539, rank=0.0154, reg=0.0385]
train epoch 1/1:   8%|▊         | 854/10792 [05:51<1:58:35,  1.40it/s, loss=0.1003, rank=0.0664, reg=0.0339]
train epoch 1/1:   8%|▊         | 855/10792 [05:51<1:51:54,  1.48it/s, loss=0.1003, rank=0.0664, reg=0.0339]
train epoch 1/1:   8%|▊         | 855/10792 [05:51<1:51:54,  1.48it/s, loss=0.0732, rank=0.0499, reg=0.0233]
train epoch 1/1:   8%|▊         | 856/10792 [05:51<1:29:12,  1.86it/s, loss=0.0732, rank=0.0499, reg=0.0233]
train epoch 1/1:   8%|▊         | 856/10792 [05:52<1:29:12,  1.86it/s, loss=0.1686, rank=0.0896, reg=0.0790]
train epoch 1/1:   8%|▊         | 857/10792 [05:52<1:39:48,  1.66it/s, loss=0.1686, rank=0.0896, reg=0.0790]
train epoch 1/1:   8%|▊         | 857/10792 [05:53<1:39:48,  1.66it/s, loss=0.0623, rank=0.0161, reg=0.0461]
train epoch 1/1:   8%|▊         | 858/10792 [05:53<1:46:55,  1.55it/s, loss=0.0623, rank=0.0161, reg=0.0461]
train epoch 1/1:   8%|▊         | 858/10792 [05:53<1:46:55,  1.55it/s, loss=0.0681, rank=0.0376, reg=0.0305]
train epoch 1/1:   8%|▊         | 859/10792 [05:53<1:51:57,  1.48it/s, loss=0.0681, rank=0.0376, reg=0.0305]
train epoch 1/1:   8%|▊         | 859/10792 [05:54<1:51:57,  1.48it/s, loss=0.1461, rank=0.0753, reg=0.0708]
train epoch 1/1:   8%|▊         | 860/10792 [05:54<1:59:09,  1.39it/s, loss=0.1461, rank=0.0753, reg=0.0708]
train epoch 1/1:   8%|▊         | 860/10792 [05:55<1:59:09,  1.39it/s, loss=0.0620, rank=0.0281, reg=0.0338]
train epoch 1/1:   8%|▊         | 861/10792 [05:55<1:50:03,  1.50it/s, loss=0.0620, rank=0.0281, reg=0.0338]
train epoch 1/1:   8%|▊         | 861/10792 [05:55<1:50:03,  1.50it/s, loss=0.1055, rank=0.0644, reg=0.0411]
train epoch 1/1:   8%|▊         | 862/10792 [05:55<1:26:40,  1.91it/s, loss=0.1055, rank=0.0644, reg=0.0411]
train epoch 1/1:   8%|▊         | 862/10792 [05:55<1:26:40,  1.91it/s, loss=0.0826, rank=0.0535, reg=0.0291]
train epoch 1/1:   8%|▊         | 863/10792 [05:55<1:23:06,  1.99it/s, loss=0.0826, rank=0.0535, reg=0.0291]
train epoch 1/1:   8%|▊         | 863/10792 [05:56<1:23:06,  1.99it/s, loss=0.2255, rank=0.0296, reg=0.1959]
train epoch 1/1:   8%|▊         | 864/10792 [05:56<1:18:43,  2.10it/s, loss=0.2255, rank=0.0296, reg=0.1959]
train epoch 1/1:   8%|▊         | 864/10792 [05:56<1:18:43,  2.10it/s, loss=0.0653, rank=0.0498, reg=0.0155]
train epoch 1/1:   8%|▊         | 865/10792 [05:56<1:04:13,  2.58it/s, loss=0.0653, rank=0.0498, reg=0.0155]
train epoch 1/1:   8%|▊         | 865/10792 [05:57<1:04:13,  2.58it/s, loss=0.1196, rank=0.0224, reg=0.0972]
train epoch 1/1:   8%|▊         | 866/10792 [05:57<1:16:31,  2.16it/s, loss=0.1196, rank=0.0224, reg=0.0972]
train epoch 1/1:   8%|▊         | 866/10792 [05:57<1:16:31,  2.16it/s, loss=0.1033, rank=0.0620, reg=0.0412]
train epoch 1/1:   8%|▊         | 867/10792 [05:57<1:21:42,  2.02it/s, loss=0.1033, rank=0.0620, reg=0.0412]
train epoch 1/1:   8%|▊         | 867/10792 [05:57<1:21:42,  2.02it/s, loss=0.0940, rank=0.0455, reg=0.0484]
train epoch 1/1:   8%|▊         | 868/10792 [05:57<1:07:12,  2.46it/s, loss=0.0940, rank=0.0455, reg=0.0484]
train epoch 1/1:   8%|▊         | 868/10792 [05:58<1:07:12,  2.46it/s, loss=0.0596, rank=0.0291, reg=0.0305]
train epoch 1/1:   8%|▊         | 869/10792 [05:58<58:03,  2.85it/s, loss=0.0596, rank=0.0291, reg=0.0305]  
train epoch 1/1:   8%|▊         | 869/10792 [05:58<58:03,  2.85it/s, loss=0.0544, rank=0.0304, reg=0.0240]
train epoch 1/1:   8%|▊         | 870/10792 [05:58<59:17,  2.79it/s, loss=0.0544, rank=0.0304, reg=0.0240]
train epoch 1/1:   8%|▊         | 870/10792 [05:59<59:17,  2.79it/s, loss=0.0379, rank=0.0266, reg=0.0113]
train epoch 1/1:   8%|▊         | 871/10792 [05:59<1:06:03,  2.50it/s, loss=0.0379, rank=0.0266, reg=0.0113]
train epoch 1/1:   8%|▊         | 871/10792 [05:59<1:06:03,  2.50it/s, loss=0.1215, rank=0.0752, reg=0.0463]
train epoch 1/1:   8%|▊         | 872/10792 [05:59<1:00:37,  2.73it/s, loss=0.1215, rank=0.0752, reg=0.0463]
train epoch 1/1:   8%|▊         | 872/10792 [06:00<1:00:37,  2.73it/s, loss=0.0188, rank=0.0006, reg=0.0182]
train epoch 1/1:   8%|▊         | 873/10792 [06:00<1:21:56,  2.02it/s, loss=0.0188, rank=0.0006, reg=0.0182]
train epoch 1/1:   8%|▊         | 873/10792 [06:00<1:21:56,  2.02it/s, loss=0.0434, rank=0.0123, reg=0.0311]
train epoch 1/1:   8%|▊         | 874/10792 [06:00<1:25:23,  1.94it/s, loss=0.0434, rank=0.0123, reg=0.0311]
train epoch 1/1:   8%|▊         | 874/10792 [06:00<1:25:23,  1.94it/s, loss=0.1134, rank=0.0833, reg=0.0301]
train epoch 1/1:   8%|▊         | 875/10792 [06:00<1:09:49,  2.37it/s, loss=0.1134, rank=0.0833, reg=0.0301]
train epoch 1/1:   8%|▊         | 875/10792 [06:01<1:09:49,  2.37it/s, loss=0.0260, rank=0.0118, reg=0.0142]
train epoch 1/1:   8%|▊         | 876/10792 [06:01<58:23,  2.83it/s, loss=0.0260, rank=0.0118, reg=0.0142]  
train epoch 1/1:   8%|▊         | 876/10792 [06:01<58:23,  2.83it/s, loss=0.1354, rank=0.0945, reg=0.0409]
train epoch 1/1:   8%|▊         | 877/10792 [06:01<1:16:07,  2.17it/s, loss=0.1354, rank=0.0945, reg=0.0409]
train epoch 1/1:   8%|▊         | 877/10792 [06:02<1:16:07,  2.17it/s, loss=0.0664, rank=0.0370, reg=0.0294]
train epoch 1/1:   8%|▊         | 878/10792 [06:02<1:33:19,  1.77it/s, loss=0.0664, rank=0.0370, reg=0.0294]
train epoch 1/1:   8%|▊         | 878/10792 [06:02<1:33:19,  1.77it/s, loss=0.1081, rank=0.0236, reg=0.0845]
train epoch 1/1:   8%|▊         | 879/10792 [06:02<1:21:02,  2.04it/s, loss=0.1081, rank=0.0236, reg=0.0845]
train epoch 1/1:   8%|▊         | 879/10792 [06:03<1:21:02,  2.04it/s, loss=0.1201, rank=0.0450, reg=0.0751]
train epoch 1/1:   8%|▊         | 880/10792 [06:03<1:32:24,  1.79it/s, loss=0.1201, rank=0.0450, reg=0.0751]
train epoch 1/1:   8%|▊         | 880/10792 [06:04<1:32:24,  1.79it/s, loss=0.1438, rank=0.0626, reg=0.0813]
train epoch 1/1:   8%|▊         | 881/10792 [06:04<1:46:23,  1.55it/s, loss=0.1438, rank=0.0626, reg=0.0813]
train epoch 1/1:   8%|▊         | 881/10792 [06:04<1:46:23,  1.55it/s, loss=0.0209, rank=0.0044, reg=0.0164]
train epoch 1/1:   8%|▊         | 882/10792 [06:04<1:23:47,  1.97it/s, loss=0.0209, rank=0.0044, reg=0.0164]
train epoch 1/1:   8%|▊         | 882/10792 [06:05<1:23:47,  1.97it/s, loss=0.1321, rank=0.0577, reg=0.0744]
train epoch 1/1:   8%|▊         | 883/10792 [06:05<1:13:05,  2.26it/s, loss=0.1321, rank=0.0577, reg=0.0744]
train epoch 1/1:   8%|▊         | 883/10792 [06:05<1:13:05,  2.26it/s, loss=0.0984, rank=0.0737, reg=0.0247]
train epoch 1/1:   8%|▊         | 884/10792 [06:05<58:53,  2.80it/s, loss=0.0984, rank=0.0737, reg=0.0247]  
train epoch 1/1:   8%|▊         | 884/10792 [06:05<58:53,  2.80it/s, loss=0.2512, rank=0.0327, reg=0.2185]
train epoch 1/1:   8%|▊         | 885/10792 [06:05<1:22:19,  2.01it/s, loss=0.2512, rank=0.0327, reg=0.2185]
train epoch 1/1:   8%|▊         | 885/10792 [06:06<1:22:19,  2.01it/s, loss=0.0893, rank=0.0568, reg=0.0325]
train epoch 1/1:   8%|▊         | 886/10792 [06:06<1:22:21,  2.00it/s, loss=0.0893, rank=0.0568, reg=0.0325]
train epoch 1/1:   8%|▊         | 886/10792 [06:07<1:22:21,  2.00it/s, loss=0.0580, rank=0.0002, reg=0.0578]
train epoch 1/1:   8%|▊         | 887/10792 [06:07<1:26:10,  1.92it/s, loss=0.0580, rank=0.0002, reg=0.0578]
train epoch 1/1:   8%|▊         | 887/10792 [06:07<1:26:10,  1.92it/s, loss=0.1149, rank=0.0361, reg=0.0787]
train epoch 1/1:   8%|▊         | 888/10792 [06:07<1:21:02,  2.04it/s, loss=0.1149, rank=0.0361, reg=0.0787]
train epoch 1/1:   8%|▊         | 888/10792 [06:07<1:21:02,  2.04it/s, loss=0.1117, rank=0.0512, reg=0.0605]
train epoch 1/1:   8%|▊         | 889/10792 [06:07<1:18:02,  2.11it/s, loss=0.1117, rank=0.0512, reg=0.0605]
train epoch 1/1:   8%|▊         | 889/10792 [06:08<1:18:02,  2.11it/s, loss=0.1921, rank=0.0704, reg=0.1217]
train epoch 1/1:   8%|▊         | 890/10792 [06:08<1:18:44,  2.10it/s, loss=0.1921, rank=0.0704, reg=0.1217]
train epoch 1/1:   8%|▊         | 890/10792 [06:08<1:18:44,  2.10it/s, loss=0.0223, rank=0.0006, reg=0.0217]
train epoch 1/1:   8%|▊         | 891/10792 [06:08<1:06:10,  2.49it/s, loss=0.0223, rank=0.0006, reg=0.0217]
train epoch 1/1:   8%|▊         | 891/10792 [06:08<1:06:10,  2.49it/s, loss=0.0625, rank=0.0354, reg=0.0271]
train epoch 1/1:   8%|▊         | 892/10792 [06:08<54:41,  3.02it/s, loss=0.0625, rank=0.0354, reg=0.0271]  
train epoch 1/1:   8%|▊         | 892/10792 [06:08<54:41,  3.02it/s, loss=0.0693, rank=0.0501, reg=0.0193]
train epoch 1/1:   8%|▊         | 893/10792 [06:08<47:27,  3.48it/s, loss=0.0693, rank=0.0501, reg=0.0193]
train epoch 1/1:   8%|▊         | 893/10792 [06:09<47:27,  3.48it/s, loss=0.2147, rank=0.0938, reg=0.1209]
train epoch 1/1:   8%|▊         | 894/10792 [06:09<48:44,  3.38it/s, loss=0.2147, rank=0.0938, reg=0.1209]
train epoch 1/1:   8%|▊         | 894/10792 [06:10<48:44,  3.38it/s, loss=0.0631, rank=0.0354, reg=0.0277]
train epoch 1/1:   8%|▊         | 895/10792 [06:10<1:08:55,  2.39it/s, loss=0.0631, rank=0.0354, reg=0.0277]
train epoch 1/1:   8%|▊         | 895/10792 [06:10<1:08:55,  2.39it/s, loss=0.0393, rank=0.0198, reg=0.0194]
train epoch 1/1:   8%|▊         | 896/10792 [06:10<59:09,  2.79it/s, loss=0.0393, rank=0.0198, reg=0.0194]  
train epoch 1/1:   8%|▊         | 896/10792 [06:11<59:09,  2.79it/s, loss=0.2107, rank=0.0605, reg=0.1502]
train epoch 1/1:   8%|▊         | 897/10792 [06:11<1:21:03,  2.03it/s, loss=0.2107, rank=0.0605, reg=0.1502]
train epoch 1/1:   8%|▊         | 897/10792 [06:11<1:21:03,  2.03it/s, loss=0.1111, rank=0.0647, reg=0.0464]
train epoch 1/1:   8%|▊         | 898/10792 [06:11<1:19:47,  2.07it/s, loss=0.1111, rank=0.0647, reg=0.0464]
train epoch 1/1:   8%|▊         | 898/10792 [06:11<1:19:47,  2.07it/s, loss=0.0553, rank=0.0135, reg=0.0418]
train epoch 1/1:   8%|▊         | 899/10792 [06:11<1:06:27,  2.48it/s, loss=0.0553, rank=0.0135, reg=0.0418]
train epoch 1/1:   8%|▊         | 899/10792 [06:11<1:06:27,  2.48it/s, loss=0.0638, rank=0.0293, reg=0.0344]
train epoch 1/1:   8%|▊         | 900/10792 [06:11<57:07,  2.89it/s, loss=0.0638, rank=0.0293, reg=0.0344]  
train epoch 1/1:   8%|▊         | 900/10792 [06:12<57:07,  2.89it/s, loss=0.0478, rank=0.0081, reg=0.0398]
train epoch 1/1:   8%|▊         | 901/10792 [06:12<53:43,  3.07it/s, loss=0.0478, rank=0.0081, reg=0.0398]
train epoch 1/1:   8%|▊         | 901/10792 [06:12<53:43,  3.07it/s, loss=0.0472, rank=0.0367, reg=0.0105]
train epoch 1/1:   8%|▊         | 902/10792 [06:12<45:13,  3.64it/s, loss=0.0472, rank=0.0367, reg=0.0105]
train epoch 1/1:   8%|▊         | 902/10792 [06:12<45:13,  3.64it/s, loss=0.0577, rank=0.0411, reg=0.0166]
train epoch 1/1:   8%|▊         | 903/10792 [06:12<41:07,  4.01it/s, loss=0.0577, rank=0.0411, reg=0.0166]
train epoch 1/1:   8%|▊         | 903/10792 [06:12<41:07,  4.01it/s, loss=0.0631, rank=0.0270, reg=0.0361]
train epoch 1/1:   8%|▊         | 904/10792 [06:12<50:56,  3.23it/s, loss=0.0631, rank=0.0270, reg=0.0361]
train epoch 1/1:   8%|▊         | 904/10792 [06:13<50:56,  3.23it/s, loss=0.0599, rank=0.0376, reg=0.0222]
train epoch 1/1:   8%|▊         | 905/10792 [06:13<43:05,  3.82it/s, loss=0.0599, rank=0.0376, reg=0.0222]
train epoch 1/1:   8%|▊         | 905/10792 [06:13<43:05,  3.82it/s, loss=0.0427, rank=0.0179, reg=0.0248]
train epoch 1/1:   8%|▊         | 906/10792 [06:13<40:39,  4.05it/s, loss=0.0427, rank=0.0179, reg=0.0248]
train epoch 1/1:   8%|▊         | 906/10792 [06:13<40:39,  4.05it/s, loss=0.0934, rank=0.0709, reg=0.0226]
train epoch 1/1:   8%|▊         | 907/10792 [06:13<58:19,  2.82it/s, loss=0.0934, rank=0.0709, reg=0.0226]
train epoch 1/1:   8%|▊         | 907/10792 [06:14<58:19,  2.82it/s, loss=0.0757, rank=0.0428, reg=0.0329]
train epoch 1/1:   8%|▊         | 908/10792 [06:14<1:17:18,  2.13it/s, loss=0.0757, rank=0.0428, reg=0.0329]
train epoch 1/1:   8%|▊         | 908/10792 [06:15<1:17:18,  2.13it/s, loss=0.1867, rank=0.0726, reg=0.1141]
train epoch 1/1:   8%|▊         | 909/10792 [06:15<1:39:35,  1.65it/s, loss=0.1867, rank=0.0726, reg=0.1141]
train epoch 1/1:   8%|▊         | 909/10792 [06:15<1:39:35,  1.65it/s, loss=0.0940, rank=0.0744, reg=0.0196]
train epoch 1/1:   8%|▊         | 910/10792 [06:15<1:17:58,  2.11it/s, loss=0.0940, rank=0.0744, reg=0.0196]
train epoch 1/1:   8%|▊         | 910/10792 [06:16<1:17:58,  2.11it/s, loss=0.0466, rank=0.0363, reg=0.0103]
train epoch 1/1:   8%|▊         | 911/10792 [06:16<1:22:46,  1.99it/s, loss=0.0466, rank=0.0363, reg=0.0103]
train epoch 1/1:   8%|▊         | 911/10792 [06:16<1:22:46,  1.99it/s, loss=0.0689, rank=0.0413, reg=0.0277]
train epoch 1/1:   8%|▊         | 912/10792 [06:16<1:14:51,  2.20it/s, loss=0.0689, rank=0.0413, reg=0.0277]
train epoch 1/1:   8%|▊         | 912/10792 [06:17<1:14:51,  2.20it/s, loss=0.0743, rank=0.0330, reg=0.0413]
train epoch 1/1:   8%|▊         | 913/10792 [06:17<1:26:50,  1.90it/s, loss=0.0743, rank=0.0330, reg=0.0413]
train epoch 1/1:   8%|▊         | 913/10792 [06:17<1:26:50,  1.90it/s, loss=0.0744, rank=0.0499, reg=0.0245]
train epoch 1/1:   8%|▊         | 914/10792 [06:17<1:14:42,  2.20it/s, loss=0.0744, rank=0.0499, reg=0.0245]
train epoch 1/1:   8%|▊         | 914/10792 [06:17<1:14:42,  2.20it/s, loss=0.0656, rank=0.0410, reg=0.0246]
train epoch 1/1:   8%|▊         | 915/10792 [06:17<1:02:30,  2.63it/s, loss=0.0656, rank=0.0410, reg=0.0246]
train epoch 1/1:   8%|▊         | 915/10792 [06:18<1:02:30,  2.63it/s, loss=0.0668, rank=0.0504, reg=0.0163]
train epoch 1/1:   8%|▊         | 916/10792 [06:18<55:31,  2.96it/s, loss=0.0668, rank=0.0504, reg=0.0163]  
train epoch 1/1:   8%|▊         | 916/10792 [06:18<55:31,  2.96it/s, loss=0.1381, rank=0.0233, reg=0.1148]
train epoch 1/1:   8%|▊         | 917/10792 [06:18<1:00:00,  2.74it/s, loss=0.1381, rank=0.0233, reg=0.1148]
train epoch 1/1:   8%|▊         | 917/10792 [06:18<1:00:00,  2.74it/s, loss=0.0810, rank=0.0405, reg=0.0405]
train epoch 1/1:   9%|▊         | 918/10792 [06:18<55:16,  2.98it/s, loss=0.0810, rank=0.0405, reg=0.0405]  
train epoch 1/1:   9%|▊         | 918/10792 [06:19<55:16,  2.98it/s, loss=0.1663, rank=0.0799, reg=0.0864]
train epoch 1/1:   9%|▊         | 919/10792 [06:19<57:26,  2.86it/s, loss=0.1663, rank=0.0799, reg=0.0864]
train epoch 1/1:   9%|▊         | 919/10792 [06:19<57:26,  2.86it/s, loss=0.1033, rank=0.0588, reg=0.0445]
train epoch 1/1:   9%|▊         | 920/10792 [06:19<1:04:44,  2.54it/s, loss=0.1033, rank=0.0588, reg=0.0445]
train epoch 1/1:   9%|▊         | 920/10792 [06:19<1:04:44,  2.54it/s, loss=0.0700, rank=0.0325, reg=0.0376]
train epoch 1/1:   9%|▊         | 921/10792 [06:19<1:00:09,  2.73it/s, loss=0.0700, rank=0.0325, reg=0.0376]
train epoch 1/1:   9%|▊         | 921/10792 [06:20<1:00:09,  2.73it/s, loss=0.0967, rank=0.0336, reg=0.0631]
train epoch 1/1:   9%|▊         | 922/10792 [06:20<1:03:03,  2.61it/s, loss=0.0967, rank=0.0336, reg=0.0631]
train epoch 1/1:   9%|▊         | 922/10792 [06:20<1:03:03,  2.61it/s, loss=0.1081, rank=0.0648, reg=0.0433]
train epoch 1/1:   9%|▊         | 923/10792 [06:20<1:04:58,  2.53it/s, loss=0.1081, rank=0.0648, reg=0.0433]
train epoch 1/1:   9%|▊         | 923/10792 [06:20<1:04:58,  2.53it/s, loss=0.0551, rank=0.0404, reg=0.0146]
train epoch 1/1:   9%|▊         | 924/10792 [06:20<52:42,  3.12it/s, loss=0.0551, rank=0.0404, reg=0.0146]  
train epoch 1/1:   9%|▊         | 924/10792 [06:21<52:42,  3.12it/s, loss=0.0848, rank=0.0188, reg=0.0660]
train epoch 1/1:   9%|▊         | 925/10792 [06:21<55:55,  2.94it/s, loss=0.0848, rank=0.0188, reg=0.0660]
train epoch 1/1:   9%|▊         | 925/10792 [06:22<55:55,  2.94it/s, loss=0.0938, rank=0.0244, reg=0.0694]
train epoch 1/1:   9%|▊         | 926/10792 [06:22<1:41:51,  1.61it/s, loss=0.0938, rank=0.0244, reg=0.0694]
train epoch 1/1:   9%|▊         | 926/10792 [06:23<1:41:51,  1.61it/s, loss=0.0769, rank=0.0502, reg=0.0266]
train epoch 1/1:   9%|▊         | 927/10792 [06:23<1:51:54,  1.47it/s, loss=0.0769, rank=0.0502, reg=0.0266]
train epoch 1/1:   9%|▊         | 927/10792 [06:23<1:51:54,  1.47it/s, loss=0.1034, rank=0.0647, reg=0.0387]
train epoch 1/1:   9%|▊         | 928/10792 [06:23<1:23:32,  1.97it/s, loss=0.1034, rank=0.0647, reg=0.0387]
train epoch 1/1:   9%|▊         | 928/10792 [06:23<1:23:32,  1.97it/s, loss=0.0713, rank=0.0325, reg=0.0388]
train epoch 1/1:   9%|▊         | 929/10792 [06:23<1:12:41,  2.26it/s, loss=0.0713, rank=0.0325, reg=0.0388]
train epoch 1/1:   9%|▊         | 929/10792 [06:24<1:12:41,  2.26it/s, loss=0.0782, rank=0.0408, reg=0.0374]
train epoch 1/1:   9%|▊         | 930/10792 [06:24<1:11:03,  2.31it/s, loss=0.0782, rank=0.0408, reg=0.0374]
train epoch 1/1:   9%|▊         | 930/10792 [06:24<1:11:03,  2.31it/s, loss=0.1189, rank=0.0465, reg=0.0724]
train epoch 1/1:   9%|▊         | 930/10792 [06:24<1:11:03,  2.31it/s, loss=0.0596, rank=0.0275, reg=0.0321]
train epoch 1/1:   9%|▊         | 932/10792 [06:24<58:05,  2.83it/s, loss=0.0596, rank=0.0275, reg=0.0321]  
train epoch 1/1:   9%|▊         | 932/10792 [06:24<58:05,  2.83it/s, loss=0.0481, rank=0.0338, reg=0.0144]
train epoch 1/1:   9%|▊         | 933/10792 [06:24<51:39,  3.18it/s, loss=0.0481, rank=0.0338, reg=0.0144]
train epoch 1/1:   9%|▊         | 933/10792 [06:25<51:39,  3.18it/s, loss=0.1187, rank=0.0717, reg=0.0471]
train epoch 1/1:   9%|▊         | 934/10792 [06:25<53:00,  3.10it/s, loss=0.1187, rank=0.0717, reg=0.0471]
train epoch 1/1:   9%|▊         | 934/10792 [06:25<53:00,  3.10it/s, loss=0.2559, rank=0.0267, reg=0.2292]
train epoch 1/1:   9%|▊         | 935/10792 [06:25<53:58,  3.04it/s, loss=0.2559, rank=0.0267, reg=0.2292]
train epoch 1/1:   9%|▊         | 935/10792 [06:25<53:58,  3.04it/s, loss=0.0467, rank=0.0365, reg=0.0102]
train epoch 1/1:   9%|▊         | 936/10792 [06:25<48:29,  3.39it/s, loss=0.0467, rank=0.0365, reg=0.0102]
train epoch 1/1:   9%|▊         | 936/10792 [06:26<48:29,  3.39it/s, loss=0.1628, rank=0.0575, reg=0.1053]
train epoch 1/1:   9%|▊         | 937/10792 [06:26<1:10:18,  2.34it/s, loss=0.1628, rank=0.0575, reg=0.1053]
train epoch 1/1:   9%|▊         | 937/10792 [06:26<1:10:18,  2.34it/s, loss=0.0710, rank=0.0317, reg=0.0393]
train epoch 1/1:   9%|▊         | 938/10792 [06:26<1:04:42,  2.54it/s, loss=0.0710, rank=0.0317, reg=0.0393]
train epoch 1/1:   9%|▊         | 938/10792 [06:27<1:04:42,  2.54it/s, loss=0.1142, rank=0.0936, reg=0.0206]
train epoch 1/1:   9%|▊         | 939/10792 [06:27<53:43,  3.06it/s, loss=0.1142, rank=0.0936, reg=0.0206]  
train epoch 1/1:   9%|▊         | 939/10792 [06:27<53:43,  3.06it/s, loss=0.0631, rank=0.0160, reg=0.0471]
train epoch 1/1:   9%|▊         | 940/10792 [06:27<53:13,  3.08it/s, loss=0.0631, rank=0.0160, reg=0.0471]
train epoch 1/1:   9%|▊         | 940/10792 [06:27<53:13,  3.08it/s, loss=0.0575, rank=0.0283, reg=0.0292]
train epoch 1/1:   9%|▊         | 941/10792 [06:27<46:25,  3.54it/s, loss=0.0575, rank=0.0283, reg=0.0292]
train epoch 1/1:   9%|▊         | 941/10792 [06:27<46:25,  3.54it/s, loss=0.1346, rank=0.0516, reg=0.0830]
train epoch 1/1:   9%|▊         | 942/10792 [06:27<38:40,  4.24it/s, loss=0.1346, rank=0.0516, reg=0.0830]
train epoch 1/1:   9%|▊         | 942/10792 [06:27<38:40,  4.24it/s, loss=0.0982, rank=0.0591, reg=0.0391]
train epoch 1/1:   9%|▊         | 943/10792 [06:27<37:10,  4.41it/s, loss=0.0982, rank=0.0591, reg=0.0391]
train epoch 1/1:   9%|▊         | 943/10792 [06:28<37:10,  4.41it/s, loss=0.0968, rank=0.0669, reg=0.0299]
train epoch 1/1:   9%|▊         | 944/10792 [06:28<35:58,  4.56it/s, loss=0.0968, rank=0.0669, reg=0.0299]
train epoch 1/1:   9%|▊         | 944/10792 [06:28<35:58,  4.56it/s, loss=0.1123, rank=0.0207, reg=0.0916]
train epoch 1/1:   9%|▉         | 945/10792 [06:28<32:31,  5.04it/s, loss=0.1123, rank=0.0207, reg=0.0916]
train epoch 1/1:   9%|▉         | 945/10792 [06:28<32:31,  5.04it/s, loss=0.0503, rank=0.0331, reg=0.0172]
train epoch 1/1:   9%|▉         | 946/10792 [06:28<32:59,  4.97it/s, loss=0.0503, rank=0.0331, reg=0.0172]
train epoch 1/1:   9%|▉         | 946/10792 [06:28<32:59,  4.97it/s, loss=0.1116, rank=0.0549, reg=0.0567]
train epoch 1/1:   9%|▉         | 947/10792 [06:28<42:44,  3.84it/s, loss=0.1116, rank=0.0549, reg=0.0567]
train epoch 1/1:   9%|▉         | 947/10792 [06:29<42:44,  3.84it/s, loss=0.1261, rank=0.0193, reg=0.1068]
train epoch 1/1:   9%|▉         | 948/10792 [06:29<43:47,  3.75it/s, loss=0.1261, rank=0.0193, reg=0.1068]
train epoch 1/1:   9%|▉         | 948/10792 [06:30<43:47,  3.75it/s, loss=0.0936, rank=0.0480, reg=0.0456]
train epoch 1/1:   9%|▉         | 949/10792 [06:30<1:13:10,  2.24it/s, loss=0.0936, rank=0.0480, reg=0.0456]
train epoch 1/1:   9%|▉         | 949/10792 [06:30<1:13:10,  2.24it/s, loss=0.1057, rank=0.0235, reg=0.0822]
train epoch 1/1:   9%|▉         | 950/10792 [06:30<1:05:15,  2.51it/s, loss=0.1057, rank=0.0235, reg=0.0822]
train epoch 1/1:   9%|▉         | 950/10792 [06:30<1:05:15,  2.51it/s, loss=0.0969, rank=0.0816, reg=0.0154]
train epoch 1/1:   9%|▉         | 951/10792 [06:30<51:09,  3.21it/s, loss=0.0969, rank=0.0816, reg=0.0154]  
train epoch 1/1:   9%|▉         | 951/10792 [06:30<51:09,  3.21it/s, loss=0.0947, rank=0.0797, reg=0.0149]
train epoch 1/1:   9%|▉         | 952/10792 [06:30<44:24,  3.69it/s, loss=0.0947, rank=0.0797, reg=0.0149]
train epoch 1/1:   9%|▉         | 952/10792 [06:30<44:24,  3.69it/s, loss=0.0590, rank=0.0526, reg=0.0064]
train epoch 1/1:   9%|▉         | 953/10792 [06:30<40:10,  4.08it/s, loss=0.0590, rank=0.0526, reg=0.0064]
train epoch 1/1:   9%|▉         | 953/10792 [06:31<40:10,  4.08it/s, loss=0.1187, rank=0.0943, reg=0.0244]
train epoch 1/1:   9%|▉         | 954/10792 [06:31<47:49,  3.43it/s, loss=0.1187, rank=0.0943, reg=0.0244]
train epoch 1/1:   9%|▉         | 954/10792 [06:31<47:49,  3.43it/s, loss=0.0752, rank=0.0594, reg=0.0158]
train epoch 1/1:   9%|▉         | 955/10792 [06:31<44:02,  3.72it/s, loss=0.0752, rank=0.0594, reg=0.0158]
train epoch 1/1:   9%|▉         | 955/10792 [06:32<44:02,  3.72it/s, loss=0.1118, rank=0.0906, reg=0.0212]
train epoch 1/1:   9%|▉         | 956/10792 [06:32<58:53,  2.78it/s, loss=0.1118, rank=0.0906, reg=0.0212]
train epoch 1/1:   9%|▉         | 956/10792 [06:32<58:53,  2.78it/s, loss=0.0811, rank=0.0504, reg=0.0306]
train epoch 1/1:   9%|▉         | 957/10792 [06:32<1:04:18,  2.55it/s, loss=0.0811, rank=0.0504, reg=0.0306]
train epoch 1/1:   9%|▉         | 957/10792 [06:32<1:04:18,  2.55it/s, loss=0.1104, rank=0.0670, reg=0.0434]
train epoch 1/1:   9%|▉         | 958/10792 [06:32<1:04:08,  2.56it/s, loss=0.1104, rank=0.0670, reg=0.0434]
train epoch 1/1:   9%|▉         | 958/10792 [06:33<1:04:08,  2.56it/s, loss=0.0767, rank=0.0571, reg=0.0195]
train epoch 1/1:   9%|▉         | 959/10792 [06:33<1:02:43,  2.61it/s, loss=0.0767, rank=0.0571, reg=0.0195]
train epoch 1/1:   9%|▉         | 959/10792 [06:33<1:02:43,  2.61it/s, loss=0.1634, rank=0.0479, reg=0.1156]
train epoch 1/1:   9%|▉         | 960/10792 [06:33<1:06:49,  2.45it/s, loss=0.1634, rank=0.0479, reg=0.1156]
train epoch 1/1:   9%|▉         | 960/10792 [06:34<1:06:49,  2.45it/s, loss=0.1174, rank=0.0793, reg=0.0381]
train epoch 1/1:   9%|▉         | 961/10792 [06:34<1:05:13,  2.51it/s, loss=0.1174, rank=0.0793, reg=0.0381]
train epoch 1/1:   9%|▉         | 961/10792 [06:34<1:05:13,  2.51it/s, loss=0.0652, rank=0.0470, reg=0.0182]
train epoch 1/1:   9%|▉         | 962/10792 [06:34<1:06:56,  2.45it/s, loss=0.0652, rank=0.0470, reg=0.0182]
train epoch 1/1:   9%|▉         | 962/10792 [06:34<1:06:56,  2.45it/s, loss=0.0778, rank=0.0535, reg=0.0242]
train epoch 1/1:   9%|▉         | 963/10792 [06:34<59:33,  2.75it/s, loss=0.0778, rank=0.0535, reg=0.0242]  
train epoch 1/1:   9%|▉         | 963/10792 [06:35<59:33,  2.75it/s, loss=0.0659, rank=0.0113, reg=0.0546]
train epoch 1/1:   9%|▉         | 964/10792 [06:35<1:02:46,  2.61it/s, loss=0.0659, rank=0.0113, reg=0.0546]
train epoch 1/1:   9%|▉         | 964/10792 [06:35<1:02:46,  2.61it/s, loss=0.0538, rank=0.0216, reg=0.0322]
train epoch 1/1:   9%|▉         | 965/10792 [06:35<1:18:44,  2.08it/s, loss=0.0538, rank=0.0216, reg=0.0322]
train epoch 1/1:   9%|▉         | 965/10792 [06:36<1:18:44,  2.08it/s, loss=0.0335, rank=0.0209, reg=0.0126]
train epoch 1/1:   9%|▉         | 966/10792 [06:36<1:19:25,  2.06it/s, loss=0.0335, rank=0.0209, reg=0.0126]
train epoch 1/1:   9%|▉         | 966/10792 [06:36<1:19:25,  2.06it/s, loss=0.0500, rank=0.0286, reg=0.0214]
train epoch 1/1:   9%|▉         | 967/10792 [06:36<1:04:53,  2.52it/s, loss=0.0500, rank=0.0286, reg=0.0214]
train epoch 1/1:   9%|▉         | 967/10792 [06:36<1:04:53,  2.52it/s, loss=0.0557, rank=0.0347, reg=0.0211]
train epoch 1/1:   9%|▉         | 968/10792 [06:36<1:05:23,  2.50it/s, loss=0.0557, rank=0.0347, reg=0.0211]
train epoch 1/1:   9%|▉         | 968/10792 [06:37<1:05:23,  2.50it/s, loss=0.0742, rank=0.0322, reg=0.0420]
train epoch 1/1:   9%|▉         | 969/10792 [06:37<1:05:28,  2.50it/s, loss=0.0742, rank=0.0322, reg=0.0420]
train epoch 1/1:   9%|▉         | 969/10792 [06:37<1:05:28,  2.50it/s, loss=0.0999, rank=0.0304, reg=0.0695]
train epoch 1/1:   9%|▉         | 970/10792 [06:37<56:25,  2.90it/s, loss=0.0999, rank=0.0304, reg=0.0695]  
train epoch 1/1:   9%|▉         | 970/10792 [06:37<56:25,  2.90it/s, loss=0.0993, rank=0.0412, reg=0.0582]
train epoch 1/1:   9%|▉         | 971/10792 [06:37<52:03,  3.14it/s, loss=0.0993, rank=0.0412, reg=0.0582]
train epoch 1/1:   9%|▉         | 971/10792 [06:38<52:03,  3.14it/s, loss=0.1174, rank=0.0300, reg=0.0873]
train epoch 1/1:   9%|▉         | 972/10792 [06:38<57:04,  2.87it/s, loss=0.1174, rank=0.0300, reg=0.0873]
train epoch 1/1:   9%|▉         | 972/10792 [06:38<57:04,  2.87it/s, loss=0.0208, rank=0.0052, reg=0.0156]
train epoch 1/1:   9%|▉         | 973/10792 [06:38<56:09,  2.91it/s, loss=0.0208, rank=0.0052, reg=0.0156]
train epoch 1/1:   9%|▉         | 973/10792 [06:38<56:09,  2.91it/s, loss=0.0744, rank=0.0369, reg=0.0374]
train epoch 1/1:   9%|▉         | 974/10792 [06:38<50:15,  3.26it/s, loss=0.0744, rank=0.0369, reg=0.0374]
train epoch 1/1:   9%|▉         | 974/10792 [06:39<50:15,  3.26it/s, loss=0.1274, rank=0.0983, reg=0.0291]
train epoch 1/1:   9%|▉         | 975/10792 [06:39<53:39,  3.05it/s, loss=0.1274, rank=0.0983, reg=0.0291]
train epoch 1/1:   9%|▉         | 975/10792 [06:40<53:39,  3.05it/s, loss=0.2228, rank=0.0376, reg=0.1852]
train epoch 1/1:   9%|▉         | 976/10792 [06:40<1:18:45,  2.08it/s, loss=0.2228, rank=0.0376, reg=0.1852]
train epoch 1/1:   9%|▉         | 976/10792 [06:40<1:18:45,  2.08it/s, loss=0.1021, rank=0.0711, reg=0.0310]
train epoch 1/1:   9%|▉         | 977/10792 [06:40<1:05:15,  2.51it/s, loss=0.1021, rank=0.0711, reg=0.0310]
train epoch 1/1:   9%|▉         | 977/10792 [06:40<1:05:15,  2.51it/s, loss=0.0956, rank=0.0471, reg=0.0485]
train epoch 1/1:   9%|▉         | 978/10792 [06:40<1:06:55,  2.44it/s, loss=0.0956, rank=0.0471, reg=0.0485]
train epoch 1/1:   9%|▉         | 978/10792 [06:41<1:06:55,  2.44it/s, loss=0.1044, rank=0.0693, reg=0.0351]
train epoch 1/1:   9%|▉         | 979/10792 [06:41<1:07:36,  2.42it/s, loss=0.1044, rank=0.0693, reg=0.0351]
train epoch 1/1:   9%|▉         | 979/10792 [06:41<1:07:36,  2.42it/s, loss=0.1724, rank=0.0488, reg=0.1235]
train epoch 1/1:   9%|▉         | 980/10792 [06:41<57:04,  2.87it/s, loss=0.1724, rank=0.0488, reg=0.1235]  
train epoch 1/1:   9%|▉         | 980/10792 [06:41<57:04,  2.87it/s, loss=0.0568, rank=0.0458, reg=0.0109]
train epoch 1/1:   9%|▉         | 981/10792 [06:41<51:09,  3.20it/s, loss=0.0568, rank=0.0458, reg=0.0109]
train epoch 1/1:   9%|▉         | 981/10792 [06:42<51:09,  3.20it/s, loss=0.0929, rank=0.0696, reg=0.0233]
train epoch 1/1:   9%|▉         | 982/10792 [06:42<1:02:18,  2.62it/s, loss=0.0929, rank=0.0696, reg=0.0233]
train epoch 1/1:   9%|▉         | 982/10792 [06:42<1:02:18,  2.62it/s, loss=0.0414, rank=0.0130, reg=0.0284]
train epoch 1/1:   9%|▉         | 983/10792 [06:42<56:29,  2.89it/s, loss=0.0414, rank=0.0130, reg=0.0284]  
train epoch 1/1:   9%|▉         | 983/10792 [06:42<56:29,  2.89it/s, loss=0.0624, rank=0.0505, reg=0.0118]
train epoch 1/1:   9%|▉         | 984/10792 [06:42<1:04:52,  2.52it/s, loss=0.0624, rank=0.0505, reg=0.0118]
train epoch 1/1:   9%|▉         | 984/10792 [06:43<1:04:52,  2.52it/s, loss=0.0493, rank=0.0251, reg=0.0242]
train epoch 1/1:   9%|▉         | 985/10792 [06:43<54:29,  3.00it/s, loss=0.0493, rank=0.0251, reg=0.0242]  
train epoch 1/1:   9%|▉         | 985/10792 [06:43<54:29,  3.00it/s, loss=0.1662, rank=0.1126, reg=0.0536]
train epoch 1/1:   9%|▉         | 986/10792 [06:43<52:38,  3.10it/s, loss=0.1662, rank=0.1126, reg=0.0536]
train epoch 1/1:   9%|▉         | 986/10792 [06:43<52:38,  3.10it/s, loss=0.1755, rank=0.0390, reg=0.1366]
train epoch 1/1:   9%|▉         | 987/10792 [06:43<1:05:32,  2.49it/s, loss=0.1755, rank=0.0390, reg=0.1366]
train epoch 1/1:   9%|▉         | 987/10792 [06:44<1:05:32,  2.49it/s, loss=0.1163, rank=0.0821, reg=0.0342]
train epoch 1/1:   9%|▉         | 988/10792 [06:44<53:23,  3.06it/s, loss=0.1163, rank=0.0821, reg=0.0342]  
train epoch 1/1:   9%|▉         | 988/10792 [06:44<53:23,  3.06it/s, loss=0.0551, rank=0.0434, reg=0.0117]
train epoch 1/1:   9%|▉         | 989/10792 [06:44<1:02:57,  2.60it/s, loss=0.0551, rank=0.0434, reg=0.0117]
train epoch 1/1:   9%|▉         | 989/10792 [06:44<1:02:57,  2.60it/s, loss=0.1156, rank=0.0924, reg=0.0232]
train epoch 1/1:   9%|▉         | 990/10792 [06:44<49:55,  3.27it/s, loss=0.1156, rank=0.0924, reg=0.0232]  
train epoch 1/1:   9%|▉         | 990/10792 [06:44<49:55,  3.27it/s, loss=0.0930, rank=0.0292, reg=0.0638]
train epoch 1/1:   9%|▉         | 991/10792 [06:44<48:19,  3.38it/s, loss=0.0930, rank=0.0292, reg=0.0638]
train epoch 1/1:   9%|▉         | 991/10792 [06:45<48:19,  3.38it/s, loss=0.1372, rank=0.0559, reg=0.0813]
train epoch 1/1:   9%|▉         | 992/10792 [06:45<1:10:38,  2.31it/s, loss=0.1372, rank=0.0559, reg=0.0813]
train epoch 1/1:   9%|▉         | 992/10792 [06:46<1:10:38,  2.31it/s, loss=0.1563, rank=0.0343, reg=0.1220]
train epoch 1/1:   9%|▉         | 993/10792 [06:46<1:05:08,  2.51it/s, loss=0.1563, rank=0.0343, reg=0.1220]
train epoch 1/1:   9%|▉         | 993/10792 [06:46<1:05:08,  2.51it/s, loss=0.1569, rank=0.0540, reg=0.1029]
train epoch 1/1:   9%|▉         | 994/10792 [06:46<1:04:10,  2.54it/s, loss=0.1569, rank=0.0540, reg=0.1029]
train epoch 1/1:   9%|▉         | 994/10792 [06:46<1:04:10,  2.54it/s, loss=0.0799, rank=0.0186, reg=0.0613]
train epoch 1/1:   9%|▉         | 995/10792 [06:46<1:00:26,  2.70it/s, loss=0.0799, rank=0.0186, reg=0.0613]
train epoch 1/1:   9%|▉         | 995/10792 [06:46<1:00:26,  2.70it/s, loss=0.0835, rank=0.0631, reg=0.0204]
train epoch 1/1:   9%|▉         | 996/10792 [06:46<49:26,  3.30it/s, loss=0.0835, rank=0.0631, reg=0.0204]  
train epoch 1/1:   9%|▉         | 996/10792 [06:47<49:26,  3.30it/s, loss=0.0891, rank=0.0617, reg=0.0275]
train epoch 1/1:   9%|▉         | 997/10792 [06:47<43:53,  3.72it/s, loss=0.0891, rank=0.0617, reg=0.0275]
train epoch 1/1:   9%|▉         | 997/10792 [06:47<43:53,  3.72it/s, loss=0.0795, rank=0.0288, reg=0.0507]
train epoch 1/1:   9%|▉         | 998/10792 [06:47<1:03:41,  2.56it/s, loss=0.0795, rank=0.0288, reg=0.0507]
train epoch 1/1:   9%|▉         | 998/10792 [06:48<1:03:41,  2.56it/s, loss=0.0817, rank=0.0626, reg=0.0190]
train epoch 1/1:   9%|▉         | 999/10792 [06:48<59:12,  2.76it/s, loss=0.0817, rank=0.0626, reg=0.0190]  
train epoch 1/1:   9%|▉         | 999/10792 [06:48<59:12,  2.76it/s, loss=0.0599, rank=0.0270, reg=0.0329]
train epoch 1/1:   9%|▉         | 1000/10792 [06:48<1:16:10,  2.14it/s, loss=0.0599, rank=0.0270, reg=0.0329]
train epoch 1/1:   9%|▉         | 1000/10792 [06:48<1:16:10,  2.14it/s, loss=0.0836, rank=0.0446, reg=0.0390]
train epoch 1/1:   9%|▉         | 1001/10792 [06:48<1:03:12,  2.58it/s, loss=0.0836, rank=0.0446, reg=0.0390]
train epoch 1/1:   9%|▉         | 1001/10792 [06:49<1:03:12,  2.58it/s, loss=0.0633, rank=0.0192, reg=0.0440]
train epoch 1/1:   9%|▉         | 1002/10792 [06:49<1:08:19,  2.39it/s, loss=0.0633, rank=0.0192, reg=0.0440]
train epoch 1/1:   9%|▉         | 1002/10792 [06:49<1:08:19,  2.39it/s, loss=0.1093, rank=0.0353, reg=0.0740]
train epoch 1/1:   9%|▉         | 1003/10792 [06:49<1:02:12,  2.62it/s, loss=0.1093, rank=0.0353, reg=0.0740]
train epoch 1/1:   9%|▉         | 1003/10792 [06:50<1:02:12,  2.62it/s, loss=0.0753, rank=0.0324, reg=0.0429]
train epoch 1/1:   9%|▉         | 1004/10792 [06:50<1:10:07,  2.33it/s, loss=0.0753, rank=0.0324, reg=0.0429]
train epoch 1/1:   9%|▉         | 1004/10792 [06:51<1:10:07,  2.33it/s, loss=0.1034, rank=0.0660, reg=0.0375]
train epoch 1/1:   9%|▉         | 1005/10792 [06:51<1:25:07,  1.92it/s, loss=0.1034, rank=0.0660, reg=0.0375]
train epoch 1/1:   9%|▉         | 1005/10792 [06:51<1:25:07,  1.92it/s, loss=0.1250, rank=0.0854, reg=0.0396]
train epoch 1/1:   9%|▉         | 1006/10792 [06:51<1:26:17,  1.89it/s, loss=0.1250, rank=0.0854, reg=0.0396]
train epoch 1/1:   9%|▉         | 1006/10792 [06:51<1:26:17,  1.89it/s, loss=0.0940, rank=0.0520, reg=0.0420]
train epoch 1/1:   9%|▉         | 1007/10792 [06:51<1:16:00,  2.15it/s, loss=0.0940, rank=0.0520, reg=0.0420]
train epoch 1/1:   9%|▉         | 1007/10792 [06:52<1:16:00,  2.15it/s, loss=0.0701, rank=0.0468, reg=0.0234]
train epoch 1/1:   9%|▉         | 1008/10792 [06:52<1:11:18,  2.29it/s, loss=0.0701, rank=0.0468, reg=0.0234]
train epoch 1/1:   9%|▉         | 1008/10792 [06:53<1:11:18,  2.29it/s, loss=0.1945, rank=0.0295, reg=0.1651]
train epoch 1/1:   9%|▉         | 1009/10792 [06:53<1:28:17,  1.85it/s, loss=0.1945, rank=0.0295, reg=0.1651]
train epoch 1/1:   9%|▉         | 1009/10792 [06:53<1:28:17,  1.85it/s, loss=0.0693, rank=0.0451, reg=0.0241]
train epoch 1/1:   9%|▉         | 1010/10792 [06:53<1:37:01,  1.68it/s, loss=0.0693, rank=0.0451, reg=0.0241]
train epoch 1/1:   9%|▉         | 1010/10792 [06:53<1:37:01,  1.68it/s, loss=0.1223, rank=0.0193, reg=0.1030]
train epoch 1/1:   9%|▉         | 1011/10792 [06:53<1:17:21,  2.11it/s, loss=0.1223, rank=0.0193, reg=0.1030]
train epoch 1/1:   9%|▉         | 1011/10792 [06:54<1:17:21,  2.11it/s, loss=0.0793, rank=0.0382, reg=0.0411]
train epoch 1/1:   9%|▉         | 1012/10792 [06:54<1:02:48,  2.60it/s, loss=0.0793, rank=0.0382, reg=0.0411]
train epoch 1/1:   9%|▉         | 1012/10792 [06:54<1:02:48,  2.60it/s, loss=0.0398, rank=0.0258, reg=0.0140]
train epoch 1/1:   9%|▉         | 1013/10792 [06:54<54:54,  2.97it/s, loss=0.0398, rank=0.0258, reg=0.0140]  
train epoch 1/1:   9%|▉         | 1013/10792 [06:54<54:54,  2.97it/s, loss=0.0866, rank=0.0490, reg=0.0376]
train epoch 1/1:   9%|▉         | 1014/10792 [06:54<53:47,  3.03it/s, loss=0.0866, rank=0.0490, reg=0.0376]
train epoch 1/1:   9%|▉         | 1014/10792 [06:55<53:47,  3.03it/s, loss=0.0976, rank=0.0356, reg=0.0620]
train epoch 1/1:   9%|▉         | 1015/10792 [06:55<1:01:15,  2.66it/s, loss=0.0976, rank=0.0356, reg=0.0620]
train epoch 1/1:   9%|▉         | 1015/10792 [06:55<1:01:15,  2.66it/s, loss=0.1268, rank=0.0985, reg=0.0283]
train epoch 1/1:   9%|▉         | 1016/10792 [06:55<49:08,  3.32it/s, loss=0.1268, rank=0.0985, reg=0.0283]  
train epoch 1/1:   9%|▉         | 1016/10792 [06:56<49:08,  3.32it/s, loss=0.0861, rank=0.0420, reg=0.0440]
train epoch 1/1:   9%|▉         | 1017/10792 [06:56<1:16:00,  2.14it/s, loss=0.0861, rank=0.0420, reg=0.0440]
train epoch 1/1:   9%|▉         | 1017/10792 [06:56<1:16:00,  2.14it/s, loss=0.0731, rank=0.0418, reg=0.0312]
train epoch 1/1:   9%|▉         | 1018/10792 [06:56<1:18:54,  2.06it/s, loss=0.0731, rank=0.0418, reg=0.0312]
train epoch 1/1:   9%|▉         | 1018/10792 [06:57<1:18:54,  2.06it/s, loss=0.0910, rank=0.0730, reg=0.0180]
train epoch 1/1:   9%|▉         | 1019/10792 [06:57<1:28:57,  1.83it/s, loss=0.0910, rank=0.0730, reg=0.0180]
train epoch 1/1:   9%|▉         | 1019/10792 [06:57<1:28:57,  1.83it/s, loss=0.0938, rank=0.0543, reg=0.0395]
train epoch 1/1:   9%|▉         | 1020/10792 [06:57<1:21:55,  1.99it/s, loss=0.0938, rank=0.0543, reg=0.0395]
train epoch 1/1:   9%|▉         | 1020/10792 [06:58<1:21:55,  1.99it/s, loss=0.1792, rank=0.0418, reg=0.1374]
train epoch 1/1:   9%|▉         | 1021/10792 [06:58<1:32:20,  1.76it/s, loss=0.1792, rank=0.0418, reg=0.1374]
train epoch 1/1:   9%|▉         | 1021/10792 [06:58<1:32:20,  1.76it/s, loss=0.0829, rank=0.0578, reg=0.0251]
train epoch 1/1:   9%|▉         | 1022/10792 [06:58<1:21:29,  2.00it/s, loss=0.0829, rank=0.0578, reg=0.0251]
train epoch 1/1:   9%|▉         | 1022/10792 [06:59<1:21:29,  2.00it/s, loss=0.1038, rank=0.0806, reg=0.0232]
train epoch 1/1:   9%|▉         | 1023/10792 [06:59<1:16:10,  2.14it/s, loss=0.1038, rank=0.0806, reg=0.0232]
train epoch 1/1:   9%|▉         | 1023/10792 [07:00<1:16:10,  2.14it/s, loss=0.1238, rank=0.0246, reg=0.0992]
train epoch 1/1:   9%|▉         | 1024/10792 [07:00<1:40:09,  1.63it/s, loss=0.1238, rank=0.0246, reg=0.0992]
train epoch 1/1:   9%|▉         | 1024/10792 [07:00<1:40:09,  1.63it/s, loss=0.1052, rank=0.0681, reg=0.0371]
train epoch 1/1:   9%|▉         | 1025/10792 [07:00<1:46:04,  1.53it/s, loss=0.1052, rank=0.0681, reg=0.0371]
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train epoch 1/1:  10%|▉         | 1029/10792 [07:02<1:20:22,  2.02it/s, loss=0.0828, rank=0.0598, reg=0.0229]
train epoch 1/1:  10%|▉         | 1029/10792 [07:02<1:20:22,  2.02it/s, loss=0.1200, rank=0.0701, reg=0.0499]
train epoch 1/1:  10%|▉         | 1030/10792 [07:02<1:07:58,  2.39it/s, loss=0.1200, rank=0.0701, reg=0.0499]
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train epoch 1/1:  10%|▉         | 1031/10792 [07:03<58:11,  2.80it/s, loss=0.1187, rank=0.0877, reg=0.0310]  
train epoch 1/1:  10%|▉         | 1031/10792 [07:03<58:11,  2.80it/s, loss=0.0521, rank=0.0350, reg=0.0171]
train epoch 1/1:  10%|▉         | 1032/10792 [07:03<50:07,  3.25it/s, loss=0.0521, rank=0.0350, reg=0.0171]
train epoch 1/1:  10%|▉         | 1032/10792 [07:04<50:07,  3.25it/s, loss=0.1488, rank=0.0585, reg=0.0902]
train epoch 1/1:  10%|▉         | 1033/10792 [07:04<1:13:46,  2.20it/s, loss=0.1488, rank=0.0585, reg=0.0902]
train epoch 1/1:  10%|▉         | 1033/10792 [07:04<1:13:46,  2.20it/s, loss=0.0171, rank=0.0023, reg=0.0149]
train epoch 1/1:  10%|▉         | 1034/10792 [07:04<1:05:00,  2.50it/s, loss=0.0171, rank=0.0023, reg=0.0149]
train epoch 1/1:  10%|▉         | 1034/10792 [07:05<1:05:00,  2.50it/s, loss=0.0786, rank=0.0591, reg=0.0194]
train epoch 1/1:  10%|▉         | 1035/10792 [07:05<1:48:22,  1.50it/s, loss=0.0786, rank=0.0591, reg=0.0194]
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train epoch 1/1:  10%|▉         | 1036/10792 [07:06<1:45:33,  1.54it/s, loss=0.0806, rank=0.0541, reg=0.0265]
train epoch 1/1:  10%|▉         | 1036/10792 [07:06<1:45:33,  1.54it/s, loss=0.0801, rank=0.0636, reg=0.0165]
train epoch 1/1:  10%|▉         | 1037/10792 [07:06<1:21:13,  2.00it/s, loss=0.0801, rank=0.0636, reg=0.0165]
train epoch 1/1:  10%|▉         | 1037/10792 [07:06<1:21:13,  2.00it/s, loss=0.1168, rank=0.0046, reg=0.1122]
train epoch 1/1:  10%|▉         | 1038/10792 [07:06<1:12:37,  2.24it/s, loss=0.1168, rank=0.0046, reg=0.1122]
train epoch 1/1:  10%|▉         | 1038/10792 [07:07<1:12:37,  2.24it/s, loss=0.0507, rank=0.0079, reg=0.0428]
train epoch 1/1:  10%|▉         | 1039/10792 [07:07<1:06:28,  2.45it/s, loss=0.0507, rank=0.0079, reg=0.0428]
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train epoch 1/1:  10%|▉         | 1040/10792 [07:07<59:09,  2.75it/s, loss=0.1465, rank=0.0722, reg=0.0743]  
train epoch 1/1:  10%|▉         | 1040/10792 [07:08<59:09,  2.75it/s, loss=0.0411, rank=0.0068, reg=0.0343]
train epoch 1/1:  10%|▉         | 1041/10792 [07:08<1:14:19,  2.19it/s, loss=0.0411, rank=0.0068, reg=0.0343]
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train epoch 1/1:  10%|▉         | 1046/10792 [07:10<51:55,  3.13it/s, loss=0.0856, rank=0.0573, reg=0.0283]
train epoch 1/1:  10%|▉         | 1047/10792 [07:10<48:54,  3.32it/s, loss=0.0856, rank=0.0573, reg=0.0283]
train epoch 1/1:  10%|▉         | 1047/10792 [07:10<48:54,  3.32it/s, loss=0.0855, rank=0.0381, reg=0.0474]
train epoch 1/1:  10%|▉         | 1048/10792 [07:10<1:21:28,  1.99it/s, loss=0.0855, rank=0.0381, reg=0.0474]
train epoch 1/1:  10%|▉         | 1048/10792 [07:11<1:21:28,  1.99it/s, loss=0.0978, rank=0.0519, reg=0.0459]
train epoch 1/1:  10%|▉         | 1049/10792 [07:11<1:22:07,  1.98it/s, loss=0.0978, rank=0.0519, reg=0.0459]
train epoch 1/1:  10%|▉         | 1049/10792 [07:11<1:22:07,  1.98it/s, loss=0.0582, rank=0.0511, reg=0.0071]
train epoch 1/1:  10%|▉         | 1050/10792 [07:11<1:15:40,  2.15it/s, loss=0.0582, rank=0.0511, reg=0.0071]
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train epoch 1/1:  10%|▉         | 1051/10792 [07:12<1:02:57,  2.58it/s, loss=0.1082, rank=0.0273, reg=0.0810]
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train epoch 1/1:  10%|▉         | 1052/10792 [07:12<1:23:58,  1.93it/s, loss=0.0750, rank=0.0244, reg=0.0506]
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train epoch 1/1:  10%|▉         | 1055/10792 [07:13<58:25,  2.78it/s, loss=0.0471, rank=0.0309, reg=0.0161]
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train epoch 1/1:  10%|▉         | 1056/10792 [07:13<51:01,  3.18it/s, loss=0.0576, rank=0.0368, reg=0.0209]
train epoch 1/1:  10%|▉         | 1056/10792 [07:14<51:01,  3.18it/s, loss=0.1140, rank=0.0639, reg=0.0501]
train epoch 1/1:  10%|▉         | 1057/10792 [07:14<1:00:01,  2.70it/s, loss=0.1140, rank=0.0639, reg=0.0501]
train epoch 1/1:  10%|▉         | 1057/10792 [07:14<1:00:01,  2.70it/s, loss=0.1006, rank=0.0407, reg=0.0599]
train epoch 1/1:  10%|▉         | 1058/10792 [07:14<59:24,  2.73it/s, loss=0.1006, rank=0.0407, reg=0.0599]  
train epoch 1/1:  10%|▉         | 1058/10792 [07:15<59:24,  2.73it/s, loss=0.0825, rank=0.0350, reg=0.0475]
train epoch 1/1:  10%|▉         | 1059/10792 [07:15<1:29:02,  1.82it/s, loss=0.0825, rank=0.0350, reg=0.0475]
train epoch 1/1:  10%|▉         | 1059/10792 [07:16<1:29:02,  1.82it/s, loss=0.0611, rank=0.0244, reg=0.0367]
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train epoch 1/1:  10%|▉         | 1060/10792 [07:16<1:19:17,  2.05it/s, loss=0.0696, rank=0.0258, reg=0.0438]
train epoch 1/1:  10%|▉         | 1061/10792 [07:16<1:15:31,  2.15it/s, loss=0.0696, rank=0.0258, reg=0.0438]
train epoch 1/1:  10%|▉         | 1061/10792 [07:16<1:15:31,  2.15it/s, loss=0.0719, rank=0.0393, reg=0.0327]
train epoch 1/1:  10%|▉         | 1062/10792 [07:16<1:05:45,  2.47it/s, loss=0.0719, rank=0.0393, reg=0.0327]
train epoch 1/1:  10%|▉         | 1062/10792 [07:17<1:05:45,  2.47it/s, loss=0.1289, rank=0.0696, reg=0.0593]
train epoch 1/1:  10%|▉         | 1063/10792 [07:17<1:28:38,  1.83it/s, loss=0.1289, rank=0.0696, reg=0.0593]
train epoch 1/1:  10%|▉         | 1063/10792 [07:18<1:28:38,  1.83it/s, loss=0.1029, rank=0.0496, reg=0.0532]
train epoch 1/1:  10%|▉         | 1064/10792 [07:18<1:42:55,  1.58it/s, loss=0.1029, rank=0.0496, reg=0.0532]
train epoch 1/1:  10%|▉         | 1064/10792 [07:18<1:42:55,  1.58it/s, loss=0.0902, rank=0.0378, reg=0.0524]
train epoch 1/1:  10%|▉         | 1065/10792 [07:18<1:24:00,  1.93it/s, loss=0.0902, rank=0.0378, reg=0.0524]
train epoch 1/1:  10%|▉         | 1065/10792 [07:19<1:24:00,  1.93it/s, loss=0.0374, rank=0.0025, reg=0.0349]
train epoch 1/1:  10%|▉         | 1066/10792 [07:19<1:30:10,  1.80it/s, loss=0.0374, rank=0.0025, reg=0.0349]
train epoch 1/1:  10%|▉         | 1066/10792 [07:19<1:30:10,  1.80it/s, loss=0.1767, rank=0.0658, reg=0.1109]
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train epoch 1/1:  10%|▉         | 1067/10792 [07:19<1:10:01,  2.31it/s, loss=0.1170, rank=0.0669, reg=0.0501]
train epoch 1/1:  10%|▉         | 1068/10792 [07:19<57:34,  2.81it/s, loss=0.1170, rank=0.0669, reg=0.0501]  
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train epoch 1/1:  10%|▉         | 1078/10792 [07:24<56:48,  2.85it/s, loss=0.0973, rank=0.0785, reg=0.0187]
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train epoch 1/1:  10%|▉         | 1079/10792 [07:25<47:43,  3.39it/s, loss=0.1767, rank=0.0615, reg=0.1153]
train epoch 1/1:  10%|█         | 1080/10792 [07:25<44:36,  3.63it/s, loss=0.1767, rank=0.0615, reg=0.1153]
train epoch 1/1:  10%|█         | 1080/10792 [07:25<44:36,  3.63it/s, loss=0.1099, rank=0.0633, reg=0.0465]
train epoch 1/1:  10%|█         | 1081/10792 [07:25<37:59,  4.26it/s, loss=0.1099, rank=0.0633, reg=0.0465]
train epoch 1/1:  10%|█         | 1081/10792 [07:25<37:59,  4.26it/s, loss=0.2604, rank=0.0535, reg=0.2069]
train epoch 1/1:  10%|█         | 1082/10792 [07:25<54:58,  2.94it/s, loss=0.2604, rank=0.0535, reg=0.2069]
train epoch 1/1:  10%|█         | 1082/10792 [07:26<54:58,  2.94it/s, loss=0.0585, rank=0.0307, reg=0.0278]
train epoch 1/1:  10%|█         | 1083/10792 [07:26<1:03:37,  2.54it/s, loss=0.0585, rank=0.0307, reg=0.0278]
train epoch 1/1:  10%|█         | 1083/10792 [07:26<1:03:37,  2.54it/s, loss=0.1414, rank=0.0648, reg=0.0766]
train epoch 1/1:  10%|█         | 1084/10792 [07:26<51:59,  3.11it/s, loss=0.1414, rank=0.0648, reg=0.0766]  
train epoch 1/1:  10%|█         | 1084/10792 [07:26<51:59,  3.11it/s, loss=0.0721, rank=0.0581, reg=0.0141]
train epoch 1/1:  10%|█         | 1085/10792 [07:26<47:55,  3.38it/s, loss=0.0721, rank=0.0581, reg=0.0141]
train epoch 1/1:  10%|█         | 1085/10792 [07:26<47:55,  3.38it/s, loss=0.0855, rank=0.0795, reg=0.0060]
train epoch 1/1:  10%|█         | 1086/10792 [07:26<42:28,  3.81it/s, loss=0.0855, rank=0.0795, reg=0.0060]
train epoch 1/1:  10%|█         | 1086/10792 [07:27<42:28,  3.81it/s, loss=0.0640, rank=0.0271, reg=0.0368]
train epoch 1/1:  10%|█         | 1087/10792 [07:27<38:41,  4.18it/s, loss=0.0640, rank=0.0271, reg=0.0368]
train epoch 1/1:  10%|█         | 1087/10792 [07:27<38:41,  4.18it/s, loss=0.0857, rank=0.0494, reg=0.0363]
train epoch 1/1:  10%|█         | 1088/10792 [07:27<36:27,  4.44it/s, loss=0.0857, rank=0.0494, reg=0.0363]
train epoch 1/1:  10%|█         | 1088/10792 [07:27<36:27,  4.44it/s, loss=0.1528, rank=0.0375, reg=0.1153]
train epoch 1/1:  10%|█         | 1089/10792 [07:27<46:14,  3.50it/s, loss=0.1528, rank=0.0375, reg=0.1153]
train epoch 1/1:  10%|█         | 1089/10792 [07:27<46:14,  3.50it/s, loss=0.0668, rank=0.0545, reg=0.0123]
train epoch 1/1:  10%|█         | 1090/10792 [07:27<44:29,  3.63it/s, loss=0.0668, rank=0.0545, reg=0.0123]
train epoch 1/1:  10%|█         | 1090/10792 [07:28<44:29,  3.63it/s, loss=0.0903, rank=0.0207, reg=0.0696]
train epoch 1/1:  10%|█         | 1091/10792 [07:28<51:25,  3.14it/s, loss=0.0903, rank=0.0207, reg=0.0696]
train epoch 1/1:  10%|█         | 1091/10792 [07:28<51:25,  3.14it/s, loss=0.1637, rank=0.0571, reg=0.1066]
train epoch 1/1:  10%|█         | 1092/10792 [07:28<1:01:51,  2.61it/s, loss=0.1637, rank=0.0571, reg=0.1066]
train epoch 1/1:  10%|█         | 1092/10792 [07:29<1:01:51,  2.61it/s, loss=0.0547, rank=0.0212, reg=0.0335]
train epoch 1/1:  10%|█         | 1093/10792 [07:29<1:05:10,  2.48it/s, loss=0.0547, rank=0.0212, reg=0.0335]
train epoch 1/1:  10%|█         | 1093/10792 [07:29<1:05:10,  2.48it/s, loss=0.1346, rank=0.0375, reg=0.0971]
train epoch 1/1:  10%|█         | 1094/10792 [07:29<55:20,  2.92it/s, loss=0.1346, rank=0.0375, reg=0.0971]  
train epoch 1/1:  10%|█         | 1094/10792 [07:29<55:20,  2.92it/s, loss=0.1145, rank=0.0734, reg=0.0411]
train epoch 1/1:  10%|█         | 1095/10792 [07:29<54:12,  2.98it/s, loss=0.1145, rank=0.0734, reg=0.0411]
train epoch 1/1:  10%|█         | 1095/10792 [07:30<54:12,  2.98it/s, loss=0.0824, rank=0.0518, reg=0.0306]
train epoch 1/1:  10%|█         | 1096/10792 [07:30<1:06:08,  2.44it/s, loss=0.0824, rank=0.0518, reg=0.0306]
train epoch 1/1:  10%|█         | 1096/10792 [07:30<1:06:08,  2.44it/s, loss=0.0494, rank=0.0196, reg=0.0297]
train epoch 1/1:  10%|█         | 1097/10792 [07:30<1:03:51,  2.53it/s, loss=0.0494, rank=0.0196, reg=0.0297]
train epoch 1/1:  10%|█         | 1097/10792 [07:31<1:03:51,  2.53it/s, loss=0.0882, rank=0.0216, reg=0.0666]
train epoch 1/1:  10%|█         | 1098/10792 [07:31<1:10:29,  2.29it/s, loss=0.0882, rank=0.0216, reg=0.0666]
train epoch 1/1:  10%|█         | 1098/10792 [07:32<1:10:29,  2.29it/s, loss=0.0557, rank=0.0142, reg=0.0415]
train epoch 1/1:  10%|█         | 1099/10792 [07:32<1:27:24,  1.85it/s, loss=0.0557, rank=0.0142, reg=0.0415]
train epoch 1/1:  10%|█         | 1099/10792 [07:32<1:27:24,  1.85it/s, loss=0.0990, rank=0.0412, reg=0.0578]
train epoch 1/1:  10%|█         | 1100/10792 [07:32<1:10:59,  2.28it/s, loss=0.0990, rank=0.0412, reg=0.0578]
train epoch 1/1:  10%|█         | 1100/10792 [07:32<1:10:59,  2.28it/s, loss=0.0713, rank=0.0441, reg=0.0273]
train epoch 1/1:  10%|█         | 1101/10792 [07:32<59:53,  2.70it/s, loss=0.0713, rank=0.0441, reg=0.0273]  
train epoch 1/1:  10%|█         | 1101/10792 [07:32<59:53,  2.70it/s, loss=0.0940, rank=0.0587, reg=0.0353]
train epoch 1/1:  10%|█         | 1102/10792 [07:32<52:16,  3.09it/s, loss=0.0940, rank=0.0587, reg=0.0353]
train epoch 1/1:  10%|█         | 1102/10792 [07:33<52:16,  3.09it/s, loss=0.1021, rank=0.0532, reg=0.0489]
train epoch 1/1:  10%|█         | 1103/10792 [07:33<1:00:15,  2.68it/s, loss=0.1021, rank=0.0532, reg=0.0489]
train epoch 1/1:  10%|█         | 1103/10792 [07:33<1:00:15,  2.68it/s, loss=0.1214, rank=0.0679, reg=0.0535]
train epoch 1/1:  10%|█         | 1104/10792 [07:33<1:00:09,  2.68it/s, loss=0.1214, rank=0.0679, reg=0.0535]
train epoch 1/1:  10%|█         | 1104/10792 [07:33<1:00:09,  2.68it/s, loss=0.1627, rank=0.0815, reg=0.0813]
train epoch 1/1:  10%|█         | 1105/10792 [07:33<48:45,  3.31it/s, loss=0.1627, rank=0.0815, reg=0.0813]  
train epoch 1/1:  10%|█         | 1105/10792 [07:33<48:45,  3.31it/s, loss=0.1094, rank=0.0453, reg=0.0640]
train epoch 1/1:  10%|█         | 1106/10792 [07:33<42:44,  3.78it/s, loss=0.1094, rank=0.0453, reg=0.0640]
train epoch 1/1:  10%|█         | 1106/10792 [07:34<42:44,  3.78it/s, loss=0.0758, rank=0.0379, reg=0.0380]
train epoch 1/1:  10%|█         | 1107/10792 [07:34<44:52,  3.60it/s, loss=0.0758, rank=0.0379, reg=0.0380]
train epoch 1/1:  10%|█         | 1107/10792 [07:35<44:52,  3.60it/s, loss=0.1053, rank=0.0637, reg=0.0416]
train epoch 1/1:  10%|█         | 1108/10792 [07:35<1:10:02,  2.30it/s, loss=0.1053, rank=0.0637, reg=0.0416]
train epoch 1/1:  10%|█         | 1108/10792 [07:35<1:10:02,  2.30it/s, loss=0.0724, rank=0.0418, reg=0.0306]
train epoch 1/1:  10%|█         | 1109/10792 [07:35<1:03:45,  2.53it/s, loss=0.0724, rank=0.0418, reg=0.0306]
train epoch 1/1:  10%|█         | 1109/10792 [07:35<1:03:45,  2.53it/s, loss=0.0796, rank=0.0525, reg=0.0271]
train epoch 1/1:  10%|█         | 1110/10792 [07:35<51:08,  3.16it/s, loss=0.0796, rank=0.0525, reg=0.0271]  
train epoch 1/1:  10%|█         | 1110/10792 [07:35<51:08,  3.16it/s, loss=0.1104, rank=0.0565, reg=0.0539]
train epoch 1/1:  10%|█         | 1111/10792 [07:35<43:10,  3.74it/s, loss=0.1104, rank=0.0565, reg=0.0539]
train epoch 1/1:  10%|█         | 1111/10792 [07:35<43:10,  3.74it/s, loss=0.1208, rank=0.0565, reg=0.0643]
train epoch 1/1:  10%|█         | 1112/10792 [07:35<38:47,  4.16it/s, loss=0.1208, rank=0.0565, reg=0.0643]
train epoch 1/1:  10%|█         | 1112/10792 [07:35<38:47,  4.16it/s, loss=0.0692, rank=0.0483, reg=0.0209]
train epoch 1/1:  10%|█         | 1113/10792 [07:35<33:25,  4.83it/s, loss=0.0692, rank=0.0483, reg=0.0209]
train epoch 1/1:  10%|█         | 1113/10792 [07:36<33:25,  4.83it/s, loss=0.0888, rank=0.0111, reg=0.0777]
train epoch 1/1:  10%|█         | 1114/10792 [07:36<51:53,  3.11it/s, loss=0.0888, rank=0.0111, reg=0.0777]
train epoch 1/1:  10%|█         | 1114/10792 [07:36<51:53,  3.11it/s, loss=0.0546, rank=0.0413, reg=0.0133]
train epoch 1/1:  10%|█         | 1115/10792 [07:36<52:13,  3.09it/s, loss=0.0546, rank=0.0413, reg=0.0133]
train epoch 1/1:  10%|█         | 1115/10792 [07:37<52:13,  3.09it/s, loss=0.1720, rank=0.0792, reg=0.0928]
train epoch 1/1:  10%|█         | 1116/10792 [07:37<58:48,  2.74it/s, loss=0.1720, rank=0.0792, reg=0.0928]
train epoch 1/1:  10%|█         | 1116/10792 [07:37<58:48,  2.74it/s, loss=0.1314, rank=0.0460, reg=0.0854]
train epoch 1/1:  10%|█         | 1117/10792 [07:37<1:07:53,  2.38it/s, loss=0.1314, rank=0.0460, reg=0.0854]
train epoch 1/1:  10%|█         | 1117/10792 [07:38<1:07:53,  2.38it/s, loss=0.0908, rank=0.0475, reg=0.0433]
train epoch 1/1:  10%|█         | 1118/10792 [07:38<57:08,  2.82it/s, loss=0.0908, rank=0.0475, reg=0.0433]  
train epoch 1/1:  10%|█         | 1118/10792 [07:38<57:08,  2.82it/s, loss=0.2401, rank=0.0398, reg=0.2003]
train epoch 1/1:  10%|█         | 1119/10792 [07:38<49:29,  3.26it/s, loss=0.2401, rank=0.0398, reg=0.2003]
train epoch 1/1:  10%|█         | 1119/10792 [07:38<49:29,  3.26it/s, loss=0.0744, rank=0.0393, reg=0.0351]
train epoch 1/1:  10%|█         | 1120/10792 [07:38<57:16,  2.81it/s, loss=0.0744, rank=0.0393, reg=0.0351]
train epoch 1/1:  10%|█         | 1120/10792 [07:39<57:16,  2.81it/s, loss=0.0358, rank=0.0068, reg=0.0291]
train epoch 1/1:  10%|█         | 1121/10792 [07:39<1:08:30,  2.35it/s, loss=0.0358, rank=0.0068, reg=0.0291]
train epoch 1/1:  10%|█         | 1121/10792 [07:39<1:08:30,  2.35it/s, loss=0.0480, rank=0.0172, reg=0.0308]
train epoch 1/1:  10%|█         | 1122/10792 [07:39<59:53,  2.69it/s, loss=0.0480, rank=0.0172, reg=0.0308]  
train epoch 1/1:  10%|█         | 1122/10792 [07:39<59:53,  2.69it/s, loss=0.1163, rank=0.0552, reg=0.0611]
train epoch 1/1:  10%|█         | 1123/10792 [07:39<1:00:04,  2.68it/s, loss=0.1163, rank=0.0552, reg=0.0611]
train epoch 1/1:  10%|█         | 1123/10792 [07:40<1:00:04,  2.68it/s, loss=0.0601, rank=0.0505, reg=0.0096]
train epoch 1/1:  10%|█         | 1124/10792 [07:40<52:16,  3.08it/s, loss=0.0601, rank=0.0505, reg=0.0096]  
train epoch 1/1:  10%|█         | 1124/10792 [07:40<52:16,  3.08it/s, loss=0.0686, rank=0.0325, reg=0.0362]
train epoch 1/1:  10%|█         | 1125/10792 [07:40<43:49,  3.68it/s, loss=0.0686, rank=0.0325, reg=0.0362]
train epoch 1/1:  10%|█         | 1125/10792 [07:40<43:49,  3.68it/s, loss=0.0890, rank=0.0319, reg=0.0571]
train epoch 1/1:  10%|█         | 1126/10792 [07:40<42:30,  3.79it/s, loss=0.0890, rank=0.0319, reg=0.0571]
train epoch 1/1:  10%|█         | 1126/10792 [07:40<42:30,  3.79it/s, loss=0.1659, rank=0.0724, reg=0.0936]
train epoch 1/1:  10%|█         | 1127/10792 [07:40<44:09,  3.65it/s, loss=0.1659, rank=0.0724, reg=0.0936]
train epoch 1/1:  10%|█         | 1127/10792 [07:41<44:09,  3.65it/s, loss=0.0937, rank=0.0699, reg=0.0239]
train epoch 1/1:  10%|█         | 1128/10792 [07:41<1:12:05,  2.23it/s, loss=0.0937, rank=0.0699, reg=0.0239]
train epoch 1/1:  10%|█         | 1128/10792 [07:41<1:12:05,  2.23it/s, loss=0.0636, rank=0.0512, reg=0.0124]
train epoch 1/1:  10%|█         | 1129/10792 [07:41<59:27,  2.71it/s, loss=0.0636, rank=0.0512, reg=0.0124]  
train epoch 1/1:  10%|█         | 1129/10792 [07:42<59:27,  2.71it/s, loss=0.0790, rank=0.0667, reg=0.0122]
train epoch 1/1:  10%|█         | 1130/10792 [07:42<53:01,  3.04it/s, loss=0.0790, rank=0.0667, reg=0.0122]
train epoch 1/1:  10%|█         | 1130/10792 [07:42<53:01,  3.04it/s, loss=0.1531, rank=0.0798, reg=0.0733]
train epoch 1/1:  10%|█         | 1131/10792 [07:42<45:04,  3.57it/s, loss=0.1531, rank=0.0798, reg=0.0733]
train epoch 1/1:  10%|█         | 1131/10792 [07:42<45:04,  3.57it/s, loss=0.0605, rank=0.0000, reg=0.0605]
train epoch 1/1:  10%|█         | 1132/10792 [07:42<46:51,  3.44it/s, loss=0.0605, rank=0.0000, reg=0.0605]
train epoch 1/1:  10%|█         | 1132/10792 [07:42<46:51,  3.44it/s, loss=0.0992, rank=0.0603, reg=0.0389]
train epoch 1/1:  10%|█         | 1133/10792 [07:42<41:07,  3.92it/s, loss=0.0992, rank=0.0603, reg=0.0389]
train epoch 1/1:  10%|█         | 1133/10792 [07:43<41:07,  3.92it/s, loss=0.0504, rank=0.0262, reg=0.0242]
train epoch 1/1:  11%|█         | 1134/10792 [07:43<1:15:24,  2.13it/s, loss=0.0504, rank=0.0262, reg=0.0242]
train epoch 1/1:  11%|█         | 1134/10792 [07:43<1:15:24,  2.13it/s, loss=0.1237, rank=0.0708, reg=0.0529]
train epoch 1/1:  11%|█         | 1135/10792 [07:43<1:01:04,  2.64it/s, loss=0.1237, rank=0.0708, reg=0.0529]
train epoch 1/1:  11%|█         | 1135/10792 [07:44<1:01:04,  2.64it/s, loss=0.0717, rank=0.0498, reg=0.0219]
train epoch 1/1:  11%|█         | 1136/10792 [07:44<57:21,  2.81it/s, loss=0.0717, rank=0.0498, reg=0.0219]  
train epoch 1/1:  11%|█         | 1136/10792 [07:44<57:21,  2.81it/s, loss=0.0781, rank=0.0533, reg=0.0248]
train epoch 1/1:  11%|█         | 1137/10792 [07:44<51:55,  3.10it/s, loss=0.0781, rank=0.0533, reg=0.0248]
train epoch 1/1:  11%|█         | 1137/10792 [07:44<51:55,  3.10it/s, loss=0.0711, rank=0.0314, reg=0.0397]
train epoch 1/1:  11%|█         | 1138/10792 [07:44<42:36,  3.78it/s, loss=0.0711, rank=0.0314, reg=0.0397]
train epoch 1/1:  11%|█         | 1138/10792 [07:45<42:36,  3.78it/s, loss=0.0755, rank=0.0345, reg=0.0410]
train epoch 1/1:  11%|█         | 1139/10792 [07:45<1:08:04,  2.36it/s, loss=0.0755, rank=0.0345, reg=0.0410]
train epoch 1/1:  11%|█         | 1139/10792 [07:46<1:08:04,  2.36it/s, loss=0.0690, rank=0.0414, reg=0.0276]
train epoch 1/1:  11%|█         | 1140/10792 [07:46<1:23:03,  1.94it/s, loss=0.0690, rank=0.0414, reg=0.0276]
train epoch 1/1:  11%|█         | 1140/10792 [07:46<1:23:03,  1.94it/s, loss=0.0860, rank=0.0395, reg=0.0466]
train epoch 1/1:  11%|█         | 1141/10792 [07:46<1:08:30,  2.35it/s, loss=0.0860, rank=0.0395, reg=0.0466]
train epoch 1/1:  11%|█         | 1141/10792 [07:47<1:08:30,  2.35it/s, loss=0.1419, rank=0.0564, reg=0.0855]
train epoch 1/1:  11%|█         | 1142/10792 [07:47<1:23:49,  1.92it/s, loss=0.1419, rank=0.0564, reg=0.0855]
train epoch 1/1:  11%|█         | 1142/10792 [07:47<1:23:49,  1.92it/s, loss=0.0685, rank=0.0457, reg=0.0227]
train epoch 1/1:  11%|█         | 1143/10792 [07:47<1:14:33,  2.16it/s, loss=0.0685, rank=0.0457, reg=0.0227]
train epoch 1/1:  11%|█         | 1143/10792 [07:47<1:14:33,  2.16it/s, loss=0.1429, rank=0.0572, reg=0.0857]
train epoch 1/1:  11%|█         | 1144/10792 [07:47<1:19:07,  2.03it/s, loss=0.1429, rank=0.0572, reg=0.0857]
train epoch 1/1:  11%|█         | 1144/10792 [07:48<1:19:07,  2.03it/s, loss=0.1100, rank=0.0885, reg=0.0215]
train epoch 1/1:  11%|█         | 1145/10792 [07:48<1:04:30,  2.49it/s, loss=0.1100, rank=0.0885, reg=0.0215]
train epoch 1/1:  11%|█         | 1145/10792 [07:48<1:04:30,  2.49it/s, loss=0.1348, rank=0.0336, reg=0.1012]
train epoch 1/1:  11%|█         | 1146/10792 [07:48<59:24,  2.71it/s, loss=0.1348, rank=0.0336, reg=0.1012]  
train epoch 1/1:  11%|█         | 1146/10792 [07:49<59:24,  2.71it/s, loss=0.0454, rank=0.0081, reg=0.0373]
train epoch 1/1:  11%|█         | 1147/10792 [07:49<1:18:03,  2.06it/s, loss=0.0454, rank=0.0081, reg=0.0373]
train epoch 1/1:  11%|█         | 1147/10792 [07:49<1:18:03,  2.06it/s, loss=0.0654, rank=0.0348, reg=0.0307]
train epoch 1/1:  11%|█         | 1148/10792 [07:49<1:21:40,  1.97it/s, loss=0.0654, rank=0.0348, reg=0.0307]
train epoch 1/1:  11%|█         | 1148/10792 [07:50<1:21:40,  1.97it/s, loss=0.1600, rank=0.0521, reg=0.1079]
train epoch 1/1:  11%|█         | 1149/10792 [07:50<1:32:18,  1.74it/s, loss=0.1600, rank=0.0521, reg=0.1079]
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train epoch 1/1:  11%|█         | 1180/10792 [08:02<1:00:37,  2.64it/s, loss=0.0363, rank=0.0265, reg=0.0098]
train epoch 1/1:  11%|█         | 1181/10792 [08:02<1:14:12,  2.16it/s, loss=0.0363, rank=0.0265, reg=0.0098]
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train epoch 1/1:  11%|█         | 1183/10792 [08:02<57:25,  2.79it/s, loss=0.0932, rank=0.0670, reg=0.0262]  
train epoch 1/1:  11%|█         | 1183/10792 [08:03<57:25,  2.79it/s, loss=0.0359, rank=0.0146, reg=0.0214]
train epoch 1/1:  11%|█         | 1184/10792 [08:03<1:14:06,  2.16it/s, loss=0.0359, rank=0.0146, reg=0.0214]
train epoch 1/1:  11%|█         | 1184/10792 [08:04<1:14:06,  2.16it/s, loss=0.0230, rank=0.0034, reg=0.0196]
train epoch 1/1:  11%|█         | 1185/10792 [08:04<1:17:02,  2.08it/s, loss=0.0230, rank=0.0034, reg=0.0196]
train epoch 1/1:  11%|█         | 1185/10792 [08:04<1:17:02,  2.08it/s, loss=0.1136, rank=0.1010, reg=0.0127]
train epoch 1/1:  11%|█         | 1186/10792 [08:04<1:15:55,  2.11it/s, loss=0.1136, rank=0.1010, reg=0.0127]
train epoch 1/1:  11%|█         | 1186/10792 [08:04<1:15:55,  2.11it/s, loss=0.0506, rank=0.0331, reg=0.0175]
train epoch 1/1:  11%|█         | 1187/10792 [08:04<1:06:13,  2.42it/s, loss=0.0506, rank=0.0331, reg=0.0175]
train epoch 1/1:  11%|█         | 1187/10792 [08:05<1:06:13,  2.42it/s, loss=0.1962, rank=0.0744, reg=0.1218]
train epoch 1/1:  11%|█         | 1188/10792 [08:05<52:48,  3.03it/s, loss=0.1962, rank=0.0744, reg=0.1218]  
train epoch 1/1:  11%|█         | 1188/10792 [08:05<52:48,  3.03it/s, loss=0.1678, rank=0.0712, reg=0.0966]
train epoch 1/1:  11%|█         | 1189/10792 [08:05<1:09:05,  2.32it/s, loss=0.1678, rank=0.0712, reg=0.0966]
train epoch 1/1:  11%|█         | 1189/10792 [08:05<1:09:05,  2.32it/s, loss=0.0757, rank=0.0361, reg=0.0396]
train epoch 1/1:  11%|█         | 1190/10792 [08:05<58:05,  2.75it/s, loss=0.0757, rank=0.0361, reg=0.0396]  
train epoch 1/1:  11%|█         | 1190/10792 [08:06<58:05,  2.75it/s, loss=0.0408, rank=0.0141, reg=0.0267]
train epoch 1/1:  11%|█         | 1191/10792 [08:06<55:10,  2.90it/s, loss=0.0408, rank=0.0141, reg=0.0267]
train epoch 1/1:  11%|█         | 1191/10792 [08:06<55:10,  2.90it/s, loss=0.1389, rank=0.0664, reg=0.0725]
train epoch 1/1:  11%|█         | 1192/10792 [08:06<59:40,  2.68it/s, loss=0.1389, rank=0.0664, reg=0.0725]
train epoch 1/1:  11%|█         | 1192/10792 [08:06<59:40,  2.68it/s, loss=0.0756, rank=0.0505, reg=0.0252]
train epoch 1/1:  11%|█         | 1193/10792 [08:06<57:07,  2.80it/s, loss=0.0756, rank=0.0505, reg=0.0252]
train epoch 1/1:  11%|█         | 1193/10792 [08:07<57:07,  2.80it/s, loss=0.0927, rank=0.0609, reg=0.0318]
train epoch 1/1:  11%|█         | 1194/10792 [08:07<50:37,  3.16it/s, loss=0.0927, rank=0.0609, reg=0.0318]
train epoch 1/1:  11%|█         | 1194/10792 [08:07<50:37,  3.16it/s, loss=0.1011, rank=0.0700, reg=0.0311]
train epoch 1/1:  11%|█         | 1195/10792 [08:07<43:38,  3.67it/s, loss=0.1011, rank=0.0700, reg=0.0311]
train epoch 1/1:  11%|█         | 1195/10792 [08:07<43:38,  3.67it/s, loss=0.0633, rank=0.0487, reg=0.0146]
train epoch 1/1:  11%|█         | 1196/10792 [08:07<45:50,  3.49it/s, loss=0.0633, rank=0.0487, reg=0.0146]
train epoch 1/1:  11%|█         | 1196/10792 [08:08<45:50,  3.49it/s, loss=0.0643, rank=0.0297, reg=0.0346]
train epoch 1/1:  11%|█         | 1197/10792 [08:08<1:06:02,  2.42it/s, loss=0.0643, rank=0.0297, reg=0.0346]
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train epoch 1/1:  11%|█         | 1198/10792 [08:08<1:08:06,  2.35it/s, loss=0.0841, rank=0.0349, reg=0.0493]
train epoch 1/1:  11%|█         | 1198/10792 [08:08<1:08:06,  2.35it/s, loss=0.0871, rank=0.0478, reg=0.0394]
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train epoch 1/1:  11%|█         | 1199/10792 [08:09<54:38,  2.93it/s, loss=0.0456, rank=0.0329, reg=0.0127]
train epoch 1/1:  11%|█         | 1200/10792 [08:09<56:43,  2.82it/s, loss=0.0456, rank=0.0329, reg=0.0127]
train epoch 1/1:  11%|█         | 1200/10792 [08:09<56:43,  2.82it/s, loss=0.1198, rank=0.0578, reg=0.0619]
train epoch 1/1:  11%|█         | 1201/10792 [08:09<57:41,  2.77it/s, loss=0.1198, rank=0.0578, reg=0.0619]
train epoch 1/1:  11%|█         | 1201/10792 [08:10<57:41,  2.77it/s, loss=0.0709, rank=0.0367, reg=0.0342]
train epoch 1/1:  11%|█         | 1202/10792 [08:10<1:01:17,  2.61it/s, loss=0.0709, rank=0.0367, reg=0.0342]
train epoch 1/1:  11%|█         | 1202/10792 [08:10<1:01:17,  2.61it/s, loss=0.0900, rank=0.0671, reg=0.0229]
train epoch 1/1:  11%|█         | 1203/10792 [08:10<1:11:36,  2.23it/s, loss=0.0900, rank=0.0671, reg=0.0229]
train epoch 1/1:  11%|█         | 1203/10792 [08:11<1:11:36,  2.23it/s, loss=0.1365, rank=0.0608, reg=0.0758]
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train epoch 1/1:  11%|█         | 1205/10792 [08:12<1:30:42,  1.76it/s, loss=0.0633, rank=0.0378, reg=0.0255]
train epoch 1/1:  11%|█         | 1206/10792 [08:12<1:12:06,  2.22it/s, loss=0.0633, rank=0.0378, reg=0.0255]
train epoch 1/1:  11%|█         | 1206/10792 [08:12<1:12:06,  2.22it/s, loss=0.0878, rank=0.0392, reg=0.0486]
train epoch 1/1:  11%|█         | 1207/10792 [08:12<1:03:24,  2.52it/s, loss=0.0878, rank=0.0392, reg=0.0486]
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train epoch 1/1:  11%|█         | 1208/10792 [08:12<57:07,  2.80it/s, loss=0.0616, rank=0.0224, reg=0.0392]  
train epoch 1/1:  11%|█         | 1208/10792 [08:13<57:07,  2.80it/s, loss=0.1291, rank=0.0570, reg=0.0720]
train epoch 1/1:  11%|█         | 1209/10792 [08:13<1:07:39,  2.36it/s, loss=0.1291, rank=0.0570, reg=0.0720]
train epoch 1/1:  11%|█         | 1209/10792 [08:13<1:07:39,  2.36it/s, loss=0.0423, rank=0.0156, reg=0.0267]
train epoch 1/1:  11%|█         | 1210/10792 [08:13<58:10,  2.75it/s, loss=0.0423, rank=0.0156, reg=0.0267]  
train epoch 1/1:  11%|█         | 1210/10792 [08:14<58:10,  2.75it/s, loss=0.0417, rank=0.0193, reg=0.0224]
train epoch 1/1:  11%|█         | 1211/10792 [08:14<1:08:54,  2.32it/s, loss=0.0417, rank=0.0193, reg=0.0224]
train epoch 1/1:  11%|█         | 1211/10792 [08:14<1:08:54,  2.32it/s, loss=0.0527, rank=0.0393, reg=0.0134]
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train epoch 1/1:  11%|█         | 1212/10792 [08:14<1:02:44,  2.54it/s, loss=0.0890, rank=0.0598, reg=0.0292]
train epoch 1/1:  11%|█         | 1213/10792 [08:14<51:30,  3.10it/s, loss=0.0890, rank=0.0598, reg=0.0292]  
train epoch 1/1:  11%|█         | 1213/10792 [08:14<51:30,  3.10it/s, loss=0.0726, rank=0.0535, reg=0.0190]
train epoch 1/1:  11%|█         | 1214/10792 [08:14<48:00,  3.33it/s, loss=0.0726, rank=0.0535, reg=0.0190]
train epoch 1/1:  11%|█         | 1214/10792 [08:16<48:00,  3.33it/s, loss=0.2201, rank=0.0564, reg=0.1637]
train epoch 1/1:  11%|█▏        | 1215/10792 [08:16<1:24:55,  1.88it/s, loss=0.2201, rank=0.0564, reg=0.1637]
train epoch 1/1:  11%|█▏        | 1215/10792 [08:16<1:24:55,  1.88it/s, loss=0.0996, rank=0.0744, reg=0.0252]
train epoch 1/1:  11%|█▏        | 1216/10792 [08:16<1:10:17,  2.27it/s, loss=0.0996, rank=0.0744, reg=0.0252]
train epoch 1/1:  11%|█▏        | 1216/10792 [08:16<1:10:17,  2.27it/s, loss=0.1835, rank=0.0754, reg=0.1081]
train epoch 1/1:  11%|█▏        | 1217/10792 [08:16<59:17,  2.69it/s, loss=0.1835, rank=0.0754, reg=0.1081]  
train epoch 1/1:  11%|█▏        | 1217/10792 [08:16<59:17,  2.69it/s, loss=0.1210, rank=0.0903, reg=0.0307]
train epoch 1/1:  11%|█▏        | 1218/10792 [08:16<47:25,  3.36it/s, loss=0.1210, rank=0.0903, reg=0.0307]
train epoch 1/1:  11%|█▏        | 1218/10792 [08:17<47:25,  3.36it/s, loss=0.0532, rank=0.0437, reg=0.0095]
train epoch 1/1:  11%|█▏        | 1219/10792 [08:17<1:06:10,  2.41it/s, loss=0.0532, rank=0.0437, reg=0.0095]
train epoch 1/1:  11%|█▏        | 1219/10792 [08:17<1:06:10,  2.41it/s, loss=0.1141, rank=0.0689, reg=0.0452]
train epoch 1/1:  11%|█▏        | 1220/10792 [08:17<1:01:02,  2.61it/s, loss=0.1141, rank=0.0689, reg=0.0452]
train epoch 1/1:  11%|█▏        | 1220/10792 [08:18<1:01:02,  2.61it/s, loss=0.0755, rank=0.0486, reg=0.0268]
train epoch 1/1:  11%|█▏        | 1221/10792 [08:18<1:01:56,  2.58it/s, loss=0.0755, rank=0.0486, reg=0.0268]
train epoch 1/1:  11%|█▏        | 1221/10792 [08:18<1:01:56,  2.58it/s, loss=0.0980, rank=0.0427, reg=0.0553]
train epoch 1/1:  11%|█▏        | 1222/10792 [08:18<1:17:43,  2.05it/s, loss=0.0980, rank=0.0427, reg=0.0553]
train epoch 1/1:  11%|█▏        | 1222/10792 [08:19<1:17:43,  2.05it/s, loss=0.1364, rank=0.0607, reg=0.0757]
train epoch 1/1:  11%|█▏        | 1223/10792 [08:19<1:09:40,  2.29it/s, loss=0.1364, rank=0.0607, reg=0.0757]
train epoch 1/1:  11%|█▏        | 1223/10792 [08:19<1:09:40,  2.29it/s, loss=0.0480, rank=0.0416, reg=0.0063]
train epoch 1/1:  11%|█▏        | 1224/10792 [08:19<57:29,  2.77it/s, loss=0.0480, rank=0.0416, reg=0.0063]  
train epoch 1/1:  11%|█▏        | 1224/10792 [08:19<57:29,  2.77it/s, loss=0.0715, rank=0.0602, reg=0.0114]
train epoch 1/1:  11%|█▏        | 1225/10792 [08:19<49:56,  3.19it/s, loss=0.0715, rank=0.0602, reg=0.0114]
train epoch 1/1:  11%|█▏        | 1225/10792 [08:19<49:56,  3.19it/s, loss=0.1102, rank=0.0728, reg=0.0373]
train epoch 1/1:  11%|█▏        | 1226/10792 [08:19<48:54,  3.26it/s, loss=0.1102, rank=0.0728, reg=0.0373]
train epoch 1/1:  11%|█▏        | 1226/10792 [08:19<48:54,  3.26it/s, loss=0.0859, rank=0.0565, reg=0.0294]
train epoch 1/1:  11%|█▏        | 1227/10792 [08:19<47:04,  3.39it/s, loss=0.0859, rank=0.0565, reg=0.0294]
train epoch 1/1:  11%|█▏        | 1227/10792 [08:20<47:04,  3.39it/s, loss=0.1107, rank=0.0510, reg=0.0597]
train epoch 1/1:  11%|█▏        | 1228/10792 [08:20<55:19,  2.88it/s, loss=0.1107, rank=0.0510, reg=0.0597]
train epoch 1/1:  11%|█▏        | 1228/10792 [08:20<55:19,  2.88it/s, loss=0.0901, rank=0.0684, reg=0.0217]
train epoch 1/1:  11%|█▏        | 1229/10792 [08:20<48:13,  3.30it/s, loss=0.0901, rank=0.0684, reg=0.0217]
train epoch 1/1:  11%|█▏        | 1229/10792 [08:21<48:13,  3.30it/s, loss=0.0357, rank=0.0126, reg=0.0231]
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train epoch 1/1:  11%|█▏        | 1230/10792 [08:21<1:16:47,  2.08it/s, loss=0.0520, rank=0.0209, reg=0.0311]
train epoch 1/1:  11%|█▏        | 1231/10792 [08:21<1:12:38,  2.19it/s, loss=0.0520, rank=0.0209, reg=0.0311]
train epoch 1/1:  11%|█▏        | 1231/10792 [08:22<1:12:38,  2.19it/s, loss=0.1113, rank=0.0771, reg=0.0342]
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train epoch 1/1:  11%|█▏        | 1232/10792 [08:23<1:25:25,  1.87it/s, loss=0.1280, rank=0.0268, reg=0.1012]
train epoch 1/1:  11%|█▏        | 1233/10792 [08:23<1:15:11,  2.12it/s, loss=0.1280, rank=0.0268, reg=0.1012]
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train epoch 1/1:  11%|█▏        | 1235/10792 [08:24<54:23,  2.93it/s, loss=0.0766, rank=0.0241, reg=0.0525]
train epoch 1/1:  11%|█▏        | 1236/10792 [08:24<1:18:12,  2.04it/s, loss=0.0766, rank=0.0241, reg=0.0525]
train epoch 1/1:  11%|█▏        | 1236/10792 [08:24<1:18:12,  2.04it/s, loss=0.0909, rank=0.0422, reg=0.0487]
train epoch 1/1:  11%|█▏        | 1237/10792 [08:24<1:05:28,  2.43it/s, loss=0.0909, rank=0.0422, reg=0.0487]
train epoch 1/1:  11%|█▏        | 1237/10792 [08:24<1:05:28,  2.43it/s, loss=0.0499, rank=0.0196, reg=0.0303]
train epoch 1/1:  11%|█▏        | 1238/10792 [08:24<53:07,  3.00it/s, loss=0.0499, rank=0.0196, reg=0.0303]  
train epoch 1/1:  11%|█▏        | 1238/10792 [08:24<53:07,  3.00it/s, loss=0.0969, rank=0.0699, reg=0.0270]
train epoch 1/1:  11%|█▏        | 1239/10792 [08:24<45:15,  3.52it/s, loss=0.0969, rank=0.0699, reg=0.0270]
train epoch 1/1:  11%|█▏        | 1239/10792 [08:25<45:15,  3.52it/s, loss=0.1224, rank=0.0555, reg=0.0669]
train epoch 1/1:  11%|█▏        | 1240/10792 [08:25<42:20,  3.76it/s, loss=0.1224, rank=0.0555, reg=0.0669]
train epoch 1/1:  11%|█▏        | 1240/10792 [08:25<42:20,  3.76it/s, loss=0.0962, rank=0.0685, reg=0.0277]
train epoch 1/1:  11%|█▏        | 1241/10792 [08:25<42:31,  3.74it/s, loss=0.0962, rank=0.0685, reg=0.0277]
train epoch 1/1:  11%|█▏        | 1241/10792 [08:26<42:31,  3.74it/s, loss=0.0579, rank=0.0310, reg=0.0269]
train epoch 1/1:  12%|█▏        | 1242/10792 [08:26<1:13:22,  2.17it/s, loss=0.0579, rank=0.0310, reg=0.0269]
train epoch 1/1:  12%|█▏        | 1242/10792 [08:26<1:13:22,  2.17it/s, loss=0.0612, rank=0.0406, reg=0.0206]
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train epoch 1/1:  12%|█▏        | 1243/10792 [08:27<58:04,  2.74it/s, loss=0.1054, rank=0.0554, reg=0.0501]
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train epoch 1/1:  12%|█▏        | 1244/10792 [08:27<1:18:32,  2.03it/s, loss=0.1142, rank=0.0808, reg=0.0334]
train epoch 1/1:  12%|█▏        | 1245/10792 [08:27<1:13:03,  2.18it/s, loss=0.1142, rank=0.0808, reg=0.0334]
train epoch 1/1:  12%|█▏        | 1245/10792 [08:28<1:13:03,  2.18it/s, loss=0.2718, rank=0.0403, reg=0.2315]
train epoch 1/1:  12%|█▏        | 1246/10792 [08:28<1:23:49,  1.90it/s, loss=0.2718, rank=0.0403, reg=0.2315]
train epoch 1/1:  12%|█▏        | 1246/10792 [08:28<1:23:49,  1.90it/s, loss=0.1595, rank=0.0581, reg=0.1014]
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train epoch 1/1:  12%|█▏        | 1247/10792 [08:29<1:33:15,  1.71it/s, loss=0.0706, rank=0.0266, reg=0.0440]
train epoch 1/1:  12%|█▏        | 1248/10792 [08:29<1:32:02,  1.73it/s, loss=0.0706, rank=0.0266, reg=0.0440]
train epoch 1/1:  12%|█▏        | 1248/10792 [08:29<1:32:02,  1.73it/s, loss=0.0802, rank=0.0458, reg=0.0343]
train epoch 1/1:  12%|█▏        | 1249/10792 [08:29<1:17:30,  2.05it/s, loss=0.0802, rank=0.0458, reg=0.0343]
train epoch 1/1:  12%|█▏        | 1249/10792 [08:30<1:17:30,  2.05it/s, loss=0.0362, rank=0.0144, reg=0.0217]
train epoch 1/1:  12%|█▏        | 1250/10792 [08:30<1:13:00,  2.18it/s, loss=0.0362, rank=0.0144, reg=0.0217]
train epoch 1/1:  12%|█▏        | 1250/10792 [08:30<1:13:00,  2.18it/s, loss=0.1292, rank=0.0784, reg=0.0509]
train epoch 1/1:  12%|█▏        | 1251/10792 [08:30<1:28:04,  1.81it/s, loss=0.1292, rank=0.0784, reg=0.0509]
train epoch 1/1:  12%|█▏        | 1251/10792 [08:31<1:28:04,  1.81it/s, loss=0.0711, rank=0.0399, reg=0.0313]
train epoch 1/1:  12%|█▏        | 1252/10792 [08:31<1:16:38,  2.07it/s, loss=0.0711, rank=0.0399, reg=0.0313]
train epoch 1/1:  12%|█▏        | 1252/10792 [08:31<1:16:38,  2.07it/s, loss=0.1097, rank=0.0113, reg=0.0984]
train epoch 1/1:  12%|█▏        | 1253/10792 [08:31<1:12:24,  2.20it/s, loss=0.1097, rank=0.0113, reg=0.0984]
train epoch 1/1:  12%|█▏        | 1253/10792 [08:31<1:12:24,  2.20it/s, loss=0.1473, rank=0.0134, reg=0.1339]
train epoch 1/1:  12%|█▏        | 1254/10792 [08:31<1:04:22,  2.47it/s, loss=0.1473, rank=0.0134, reg=0.1339]
train epoch 1/1:  12%|█▏        | 1254/10792 [08:32<1:04:22,  2.47it/s, loss=0.1223, rank=0.0553, reg=0.0671]
train epoch 1/1:  12%|█▏        | 1255/10792 [08:32<1:16:57,  2.07it/s, loss=0.1223, rank=0.0553, reg=0.0671]
train epoch 1/1:  12%|█▏        | 1255/10792 [08:32<1:16:57,  2.07it/s, loss=0.1468, rank=0.0634, reg=0.0834]
train epoch 1/1:  12%|█▏        | 1256/10792 [08:32<1:03:32,  2.50it/s, loss=0.1468, rank=0.0634, reg=0.0834]
train epoch 1/1:  12%|█▏        | 1256/10792 [08:33<1:03:32,  2.50it/s, loss=0.0714, rank=0.0288, reg=0.0426]
train epoch 1/1:  12%|█▏        | 1257/10792 [08:33<1:19:09,  2.01it/s, loss=0.0714, rank=0.0288, reg=0.0426]
train epoch 1/1:  12%|█▏        | 1257/10792 [08:33<1:19:09,  2.01it/s, loss=0.1083, rank=0.0434, reg=0.0649]
train epoch 1/1:  12%|█▏        | 1258/10792 [08:33<1:07:17,  2.36it/s, loss=0.1083, rank=0.0434, reg=0.0649]
train epoch 1/1:  12%|█▏        | 1258/10792 [08:34<1:07:17,  2.36it/s, loss=0.0346, rank=0.0144, reg=0.0202]
train epoch 1/1:  12%|█▏        | 1259/10792 [08:34<59:56,  2.65it/s, loss=0.0346, rank=0.0144, reg=0.0202]  
train epoch 1/1:  12%|█▏        | 1259/10792 [08:34<59:56,  2.65it/s, loss=0.0581, rank=0.0224, reg=0.0357]
train epoch 1/1:  12%|█▏        | 1260/10792 [08:34<1:09:17,  2.29it/s, loss=0.0581, rank=0.0224, reg=0.0357]
train epoch 1/1:  12%|█▏        | 1260/10792 [08:34<1:09:17,  2.29it/s, loss=0.0416, rank=0.0229, reg=0.0187]
train epoch 1/1:  12%|█▏        | 1261/10792 [08:34<57:49,  2.75it/s, loss=0.0416, rank=0.0229, reg=0.0187]  
train epoch 1/1:  12%|█▏        | 1261/10792 [08:35<57:49,  2.75it/s, loss=0.2525, rank=0.0920, reg=0.1605]
train epoch 1/1:  12%|█▏        | 1262/10792 [08:35<56:19,  2.82it/s, loss=0.2525, rank=0.0920, reg=0.1605]
train epoch 1/1:  12%|█▏        | 1262/10792 [08:36<56:19,  2.82it/s, loss=0.0458, rank=0.0361, reg=0.0097]
train epoch 1/1:  12%|█▏        | 1263/10792 [08:36<1:32:11,  1.72it/s, loss=0.0458, rank=0.0361, reg=0.0097]
train epoch 1/1:  12%|█▏        | 1263/10792 [08:36<1:32:11,  1.72it/s, loss=0.2915, rank=0.0601, reg=0.2314]
train epoch 1/1:  12%|█▏        | 1264/10792 [08:36<1:16:59,  2.06it/s, loss=0.2915, rank=0.0601, reg=0.2314]
train epoch 1/1:  12%|█▏        | 1264/10792 [08:37<1:16:59,  2.06it/s, loss=0.0686, rank=0.0473, reg=0.0213]
train epoch 1/1:  12%|█▏        | 1265/10792 [08:37<1:23:00,  1.91it/s, loss=0.0686, rank=0.0473, reg=0.0213]
train epoch 1/1:  12%|█▏        | 1265/10792 [08:37<1:23:00,  1.91it/s, loss=0.0515, rank=0.0262, reg=0.0253]
train epoch 1/1:  12%|█▏        | 1266/10792 [08:37<1:27:14,  1.82it/s, loss=0.0515, rank=0.0262, reg=0.0253]
train epoch 1/1:  12%|█▏        | 1266/10792 [08:38<1:27:14,  1.82it/s, loss=0.1230, rank=0.0805, reg=0.0425]
train epoch 1/1:  12%|█▏        | 1267/10792 [08:38<1:14:09,  2.14it/s, loss=0.1230, rank=0.0805, reg=0.0425]
train epoch 1/1:  12%|█▏        | 1267/10792 [08:38<1:14:09,  2.14it/s, loss=0.0868, rank=0.0554, reg=0.0314]
train epoch 1/1:  12%|█▏        | 1268/10792 [08:38<1:08:02,  2.33it/s, loss=0.0868, rank=0.0554, reg=0.0314]
train epoch 1/1:  12%|█▏        | 1268/10792 [08:38<1:08:02,  2.33it/s, loss=0.0638, rank=0.0169, reg=0.0469]
train epoch 1/1:  12%|█▏        | 1269/10792 [08:38<1:08:55,  2.30it/s, loss=0.0638, rank=0.0169, reg=0.0469]
train epoch 1/1:  12%|█▏        | 1269/10792 [08:39<1:08:55,  2.30it/s, loss=0.1369, rank=0.0360, reg=0.1010]
train epoch 1/1:  12%|█▏        | 1270/10792 [08:39<1:05:10,  2.44it/s, loss=0.1369, rank=0.0360, reg=0.1010]
train epoch 1/1:  12%|█▏        | 1270/10792 [08:39<1:05:10,  2.44it/s, loss=0.1288, rank=0.0515, reg=0.0772]
train epoch 1/1:  12%|█▏        | 1271/10792 [08:39<59:28,  2.67it/s, loss=0.1288, rank=0.0515, reg=0.0772]  
train epoch 1/1:  12%|█▏        | 1271/10792 [08:39<59:28,  2.67it/s, loss=0.0721, rank=0.0531, reg=0.0190]
train epoch 1/1:  12%|█▏        | 1272/10792 [08:39<54:52,  2.89it/s, loss=0.0721, rank=0.0531, reg=0.0190]
train epoch 1/1:  12%|█▏        | 1272/10792 [08:40<54:52,  2.89it/s, loss=0.0805, rank=0.0578, reg=0.0227]
train epoch 1/1:  12%|█▏        | 1273/10792 [08:40<53:13,  2.98it/s, loss=0.0805, rank=0.0578, reg=0.0227]
train epoch 1/1:  12%|█▏        | 1273/10792 [08:41<53:13,  2.98it/s, loss=0.0909, rank=0.0479, reg=0.0430]
train epoch 1/1:  12%|█▏        | 1274/10792 [08:41<1:40:51,  1.57it/s, loss=0.0909, rank=0.0479, reg=0.0430]
train epoch 1/1:  12%|█▏        | 1274/10792 [08:41<1:40:51,  1.57it/s, loss=0.0428, rank=0.0268, reg=0.0160]
train epoch 1/1:  12%|█▏        | 1275/10792 [08:41<1:22:11,  1.93it/s, loss=0.0428, rank=0.0268, reg=0.0160]
train epoch 1/1:  12%|█▏        | 1275/10792 [08:41<1:22:11,  1.93it/s, loss=0.0982, rank=0.0540, reg=0.0442]
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train epoch 1/1:  12%|█▏        | 1276/10792 [08:42<1:02:17,  2.55it/s, loss=0.0821, rank=0.0391, reg=0.0430]
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train epoch 1/1:  12%|█▏        | 1277/10792 [08:42<1:03:37,  2.49it/s, loss=0.1412, rank=0.0425, reg=0.0986]
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train epoch 1/1:  12%|█▏        | 1278/10792 [08:43<1:02:01,  2.56it/s, loss=0.0467, rank=0.0036, reg=0.0431]
train epoch 1/1:  12%|█▏        | 1279/10792 [08:43<1:07:08,  2.36it/s, loss=0.0467, rank=0.0036, reg=0.0431]
train epoch 1/1:  12%|█▏        | 1279/10792 [08:43<1:07:08,  2.36it/s, loss=0.0804, rank=0.0543, reg=0.0260]
train epoch 1/1:  12%|█▏        | 1280/10792 [08:43<53:26,  2.97it/s, loss=0.0804, rank=0.0543, reg=0.0260]  
train epoch 1/1:  12%|█▏        | 1280/10792 [08:43<53:26,  2.97it/s, loss=0.1383, rank=0.0551, reg=0.0832]
train epoch 1/1:  12%|█▏        | 1281/10792 [08:43<50:11,  3.16it/s, loss=0.1383, rank=0.0551, reg=0.0832]
train epoch 1/1:  12%|█▏        | 1281/10792 [08:44<50:11,  3.16it/s, loss=0.1067, rank=0.0200, reg=0.0867]
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train epoch 1/1:  12%|█▏        | 1282/10792 [08:44<1:23:12,  1.91it/s, loss=0.1570, rank=0.0740, reg=0.0829]
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train epoch 1/1:  12%|█▏        | 1302/10792 [08:52<49:50,  3.17it/s, loss=0.0729, rank=0.0465, reg=0.0264]
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train epoch 1/1:  12%|█▏        | 1303/10792 [08:52<43:46,  3.61it/s, loss=0.0995, rank=0.0622, reg=0.0373]
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train epoch 1/1:  12%|█▏        | 1304/10792 [08:52<44:08,  3.58it/s, loss=0.0760, rank=0.0484, reg=0.0276]
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train epoch 1/1:  12%|█▏        | 1305/10792 [08:53<52:58,  2.98it/s, loss=0.0296, rank=0.0233, reg=0.0063]
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train epoch 1/1:  12%|█▏        | 1306/10792 [08:54<47:34,  3.32it/s, loss=0.0832, rank=0.0302, reg=0.0529]
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train epoch 1/1:  12%|█▏        | 1307/10792 [08:54<1:36:03,  1.65it/s, loss=0.1458, rank=0.0467, reg=0.0991]
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train epoch 1/1:  12%|█▏        | 1308/10792 [08:54<1:18:23,  2.02it/s, loss=0.0893, rank=0.0572, reg=0.0320]
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train epoch 1/1:  12%|█▏        | 1312/10792 [08:56<57:57,  2.73it/s, loss=0.0315, rank=0.0220, reg=0.0095]
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train epoch 1/1:  12%|█▏        | 1315/10792 [08:57<53:31,  2.95it/s, loss=0.1862, rank=0.0407, reg=0.1456]
train epoch 1/1:  12%|█▏        | 1316/10792 [08:57<51:26,  3.07it/s, loss=0.1862, rank=0.0407, reg=0.1456]
train epoch 1/1:  12%|█▏        | 1316/10792 [08:57<51:26,  3.07it/s, loss=0.0598, rank=0.0338, reg=0.0260]
train epoch 1/1:  12%|█▏        | 1317/10792 [08:57<47:03,  3.36it/s, loss=0.0598, rank=0.0338, reg=0.0260]
train epoch 1/1:  12%|█▏        | 1317/10792 [08:57<47:03,  3.36it/s, loss=0.1390, rank=0.1182, reg=0.0208]
train epoch 1/1:  12%|█▏        | 1318/10792 [08:57<43:04,  3.67it/s, loss=0.1390, rank=0.1182, reg=0.0208]
train epoch 1/1:  12%|█▏        | 1318/10792 [08:58<43:04,  3.67it/s, loss=0.1022, rank=0.0291, reg=0.0731]
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train epoch 1/1:  12%|█▏        | 1319/10792 [08:58<44:46,  3.53it/s, loss=0.0971, rank=0.0664, reg=0.0308]
train epoch 1/1:  12%|█▏        | 1320/10792 [08:58<39:09,  4.03it/s, loss=0.0971, rank=0.0664, reg=0.0308]
train epoch 1/1:  12%|█▏        | 1320/10792 [08:58<39:09,  4.03it/s, loss=0.0619, rank=0.0396, reg=0.0223]
train epoch 1/1:  12%|█▏        | 1321/10792 [08:58<39:04,  4.04it/s, loss=0.0619, rank=0.0396, reg=0.0223]
train epoch 1/1:  12%|█▏        | 1321/10792 [08:58<39:04,  4.04it/s, loss=0.0688, rank=0.0400, reg=0.0289]
train epoch 1/1:  12%|█▏        | 1322/10792 [08:58<47:13,  3.34it/s, loss=0.0688, rank=0.0400, reg=0.0289]
train epoch 1/1:  12%|█▏        | 1322/10792 [08:59<47:13,  3.34it/s, loss=0.1119, rank=0.0908, reg=0.0211]
train epoch 1/1:  12%|█▏        | 1323/10792 [08:59<41:46,  3.78it/s, loss=0.1119, rank=0.0908, reg=0.0211]
train epoch 1/1:  12%|█▏        | 1323/10792 [08:59<41:46,  3.78it/s, loss=0.0772, rank=0.0246, reg=0.0526]
train epoch 1/1:  12%|█▏        | 1324/10792 [08:59<1:04:43,  2.44it/s, loss=0.0772, rank=0.0246, reg=0.0526]
train epoch 1/1:  12%|█▏        | 1324/10792 [09:00<1:04:43,  2.44it/s, loss=0.0401, rank=0.0202, reg=0.0199]
train epoch 1/1:  12%|█▏        | 1325/10792 [09:00<1:06:34,  2.37it/s, loss=0.0401, rank=0.0202, reg=0.0199]
train epoch 1/1:  12%|█▏        | 1325/10792 [09:00<1:06:34,  2.37it/s, loss=0.0647, rank=0.0466, reg=0.0180]
train epoch 1/1:  12%|█▏        | 1326/10792 [09:00<1:03:32,  2.48it/s, loss=0.0647, rank=0.0466, reg=0.0180]
train epoch 1/1:  12%|█▏        | 1326/10792 [09:01<1:03:32,  2.48it/s, loss=0.0465, rank=0.0217, reg=0.0249]
train epoch 1/1:  12%|█▏        | 1327/10792 [09:01<1:25:09,  1.85it/s, loss=0.0465, rank=0.0217, reg=0.0249]
train epoch 1/1:  12%|█▏        | 1327/10792 [09:01<1:25:09,  1.85it/s, loss=0.1180, rank=0.0712, reg=0.0468]
train epoch 1/1:  12%|█▏        | 1328/10792 [09:01<1:20:21,  1.96it/s, loss=0.1180, rank=0.0712, reg=0.0468]
train epoch 1/1:  12%|█▏        | 1328/10792 [09:02<1:20:21,  1.96it/s, loss=0.0568, rank=0.0406, reg=0.0162]
train epoch 1/1:  12%|█▏        | 1329/10792 [09:02<1:08:12,  2.31it/s, loss=0.0568, rank=0.0406, reg=0.0162]
train epoch 1/1:  12%|█▏        | 1329/10792 [09:02<1:08:12,  2.31it/s, loss=0.1240, rank=0.0278, reg=0.0961]
train epoch 1/1:  12%|█▏        | 1330/10792 [09:02<1:05:47,  2.40it/s, loss=0.1240, rank=0.0278, reg=0.0961]
train epoch 1/1:  12%|█▏        | 1330/10792 [09:03<1:05:47,  2.40it/s, loss=0.1020, rank=0.0594, reg=0.0426]
train epoch 1/1:  12%|█▏        | 1331/10792 [09:03<1:04:57,  2.43it/s, loss=0.1020, rank=0.0594, reg=0.0426]
train epoch 1/1:  12%|█▏        | 1331/10792 [09:03<1:04:57,  2.43it/s, loss=0.0462, rank=0.0237, reg=0.0225]
train epoch 1/1:  12%|█▏        | 1332/10792 [09:03<55:37,  2.83it/s, loss=0.0462, rank=0.0237, reg=0.0225]  
train epoch 1/1:  12%|█▏        | 1332/10792 [09:03<55:37,  2.83it/s, loss=0.0784, rank=0.0591, reg=0.0192]
train epoch 1/1:  12%|█▏        | 1333/10792 [09:03<47:51,  3.29it/s, loss=0.0784, rank=0.0591, reg=0.0192]
train epoch 1/1:  12%|█▏        | 1333/10792 [09:03<47:51,  3.29it/s, loss=0.0190, rank=0.0091, reg=0.0098]
train epoch 1/1:  12%|█▏        | 1334/10792 [09:03<1:00:23,  2.61it/s, loss=0.0190, rank=0.0091, reg=0.0098]
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train epoch 1/1:  12%|█▏        | 1335/10792 [09:05<56:42,  2.78it/s, loss=0.0314, rank=0.0000, reg=0.0314]
train epoch 1/1:  12%|█▏        | 1336/10792 [09:05<1:18:17,  2.01it/s, loss=0.0314, rank=0.0000, reg=0.0314]
train epoch 1/1:  12%|█▏        | 1336/10792 [09:05<1:18:17,  2.01it/s, loss=0.0563, rank=0.0388, reg=0.0176]
train epoch 1/1:  12%|█▏        | 1337/10792 [09:05<1:17:09,  2.04it/s, loss=0.0563, rank=0.0388, reg=0.0176]
train epoch 1/1:  12%|█▏        | 1337/10792 [09:06<1:17:09,  2.04it/s, loss=0.1077, rank=0.0484, reg=0.0593]
train epoch 1/1:  12%|█▏        | 1338/10792 [09:06<1:32:30,  1.70it/s, loss=0.1077, rank=0.0484, reg=0.0593]
train epoch 1/1:  12%|█▏        | 1338/10792 [09:06<1:32:30,  1.70it/s, loss=0.0549, rank=0.0462, reg=0.0087]
train epoch 1/1:  12%|█▏        | 1339/10792 [09:06<1:18:28,  2.01it/s, loss=0.0549, rank=0.0462, reg=0.0087]
train epoch 1/1:  12%|█▏        | 1339/10792 [09:07<1:18:28,  2.01it/s, loss=0.0931, rank=0.0337, reg=0.0594]
train epoch 1/1:  12%|█▏        | 1340/10792 [09:07<1:21:11,  1.94it/s, loss=0.0931, rank=0.0337, reg=0.0594]
train epoch 1/1:  12%|█▏        | 1340/10792 [09:07<1:21:11,  1.94it/s, loss=0.1775, rank=0.0598, reg=0.1177]
train epoch 1/1:  12%|█▏        | 1341/10792 [09:07<1:23:30,  1.89it/s, loss=0.1775, rank=0.0598, reg=0.1177]
train epoch 1/1:  12%|█▏        | 1341/10792 [09:08<1:23:30,  1.89it/s, loss=0.1304, rank=0.0729, reg=0.0575]
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train epoch 1/1:  12%|█▏        | 1342/10792 [09:08<1:21:47,  1.93it/s, loss=0.0494, rank=0.0206, reg=0.0288]
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train epoch 1/1:  12%|█▏        | 1343/10792 [09:08<1:12:27,  2.17it/s, loss=0.1686, rank=0.0417, reg=0.1269]
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train epoch 1/1:  12%|█▏        | 1344/10792 [09:09<1:02:33,  2.52it/s, loss=0.0525, rank=0.0343, reg=0.0181]
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train epoch 1/1:  12%|█▏        | 1345/10792 [09:10<1:22:10,  1.92it/s, loss=0.0979, rank=0.0432, reg=0.0547]
train epoch 1/1:  12%|█▏        | 1346/10792 [09:10<1:34:57,  1.66it/s, loss=0.0979, rank=0.0432, reg=0.0547]
train epoch 1/1:  12%|█▏        | 1346/10792 [09:10<1:34:57,  1.66it/s, loss=0.0886, rank=0.0505, reg=0.0381]
train epoch 1/1:  12%|█▏        | 1347/10792 [09:10<1:22:20,  1.91it/s, loss=0.0886, rank=0.0505, reg=0.0381]
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train epoch 1/1:  13%|█▎        | 1436/10792 [09:48<41:25,  3.76it/s, loss=0.1258, rank=0.0066, reg=0.1192]
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train epoch 1/1:  13%|█▎        | 1438/10792 [09:49<56:04,  2.78it/s, loss=0.0562, rank=0.0398, reg=0.0163]
train epoch 1/1:  13%|█▎        | 1438/10792 [09:49<56:04,  2.78it/s, loss=0.1217, rank=0.0325, reg=0.0893]
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train epoch 1/1:  13%|█▎        | 1447/10792 [09:54<1:49:37,  1.42it/s, loss=0.0547, rank=0.0354, reg=0.0193]
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train epoch 1/1:  13%|█▎        | 1448/10792 [09:55<1:53:20,  1.37it/s, loss=0.0703, rank=0.0284, reg=0.0419]
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train epoch 1/1:  13%|█▎        | 1449/10792 [09:55<1:54:32,  1.36it/s, loss=0.0527, rank=0.0295, reg=0.0233]
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train epoch 1/1:  13%|█▎        | 1455/10792 [09:59<1:21:05,  1.92it/s, loss=0.1111, rank=0.0778, reg=0.0334]
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train epoch 1/1:  13%|█▎        | 1456/10792 [09:59<1:30:47,  1.71it/s, loss=0.0583, rank=0.0312, reg=0.0272]
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train epoch 1/1:  14%|█▎        | 1457/10792 [10:00<1:22:01,  1.90it/s, loss=0.0406, rank=0.0216, reg=0.0190]
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train epoch 1/1:  14%|█▎        | 1460/10792 [10:02<1:22:15,  1.89it/s, loss=0.0908, rank=0.0545, reg=0.0363]
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train epoch 1/1:  14%|█▎        | 1463/10792 [10:03<1:18:39,  1.98it/s, loss=0.0396, rank=0.0077, reg=0.0319]
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train epoch 1/1:  14%|█▎        | 1476/10792 [10:08<47:59,  3.23it/s, loss=0.0784, rank=0.0525, reg=0.0259]
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train epoch 1/1:  14%|█▍        | 1500/10792 [10:18<1:07:09,  2.31it/s, loss=0.1262, rank=0.0444, reg=0.0818]
train epoch 1/1:  14%|█▍        | 1501/10792 [10:18<1:01:25,  2.52it/s, loss=0.1262, rank=0.0444, reg=0.0818]
train epoch 1/1:  14%|█▍        | 1501/10792 [10:19<1:01:25,  2.52it/s, loss=0.1521, rank=0.1156, reg=0.0366]
train epoch 1/1:  14%|█▍        | 1502/10792 [10:19<56:36,  2.74it/s, loss=0.1521, rank=0.1156, reg=0.0366]  
train epoch 1/1:  14%|█▍        | 1502/10792 [10:19<56:36,  2.74it/s, loss=0.0988, rank=0.0675, reg=0.0313]
train epoch 1/1:  14%|█▍        | 1503/10792 [10:19<1:04:39,  2.39it/s, loss=0.0988, rank=0.0675, reg=0.0313]
train epoch 1/1:  14%|█▍        | 1503/10792 [10:19<1:04:39,  2.39it/s, loss=0.1097, rank=0.0934, reg=0.0163]
train epoch 1/1:  14%|█▍        | 1504/10792 [10:19<1:00:12,  2.57it/s, loss=0.1097, rank=0.0934, reg=0.0163]
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train epoch 1/1:  14%|█▍        | 1505/10792 [10:21<53:43,  2.88it/s, loss=0.0972, rank=0.0648, reg=0.0324]
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train epoch 1/1:  14%|█▍        | 1512/10792 [10:23<1:02:57,  2.46it/s, loss=0.0862, rank=0.0699, reg=0.0163]
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train epoch 1/1:  14%|█▍        | 1513/10792 [10:23<56:04,  2.76it/s, loss=0.0688, rank=0.0522, reg=0.0166]
train epoch 1/1:  14%|█▍        | 1514/10792 [10:23<51:46,  2.99it/s, loss=0.0688, rank=0.0522, reg=0.0166]
train epoch 1/1:  14%|█▍        | 1514/10792 [10:24<51:46,  2.99it/s, loss=0.1562, rank=0.0220, reg=0.1342]
train epoch 1/1:  14%|█▍        | 1515/10792 [10:24<1:13:20,  2.11it/s, loss=0.1562, rank=0.0220, reg=0.1342]
train epoch 1/1:  14%|█▍        | 1515/10792 [10:25<1:13:20,  2.11it/s, loss=0.0513, rank=0.0282, reg=0.0231]
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train epoch 1/1:  14%|█▍        | 1516/10792 [10:26<1:31:16,  1.69it/s, loss=0.0774, rank=0.0532, reg=0.0242]
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train epoch 1/1:  14%|█▍        | 1519/10792 [10:27<1:20:06,  1.93it/s, loss=0.0839, rank=0.0592, reg=0.0247]
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train epoch 1/1:  14%|█▍        | 1520/10792 [10:27<1:05:34,  2.36it/s, loss=0.0527, rank=0.0111, reg=0.0416]
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train epoch 1/1:  14%|█▍        | 1521/10792 [10:27<58:17,  2.65it/s, loss=0.0670, rank=0.0135, reg=0.0535]
train epoch 1/1:  14%|█▍        | 1522/10792 [10:27<50:20,  3.07it/s, loss=0.0670, rank=0.0135, reg=0.0535]
train epoch 1/1:  14%|█▍        | 1522/10792 [10:27<50:20,  3.07it/s, loss=0.1005, rank=0.0453, reg=0.0553]
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train epoch 1/1:  14%|█▍        | 1523/10792 [10:28<43:40,  3.54it/s, loss=0.0558, rank=0.0318, reg=0.0240]
train epoch 1/1:  14%|█▍        | 1524/10792 [10:28<46:16,  3.34it/s, loss=0.0558, rank=0.0318, reg=0.0240]
train epoch 1/1:  14%|█▍        | 1524/10792 [10:29<46:16,  3.34it/s, loss=0.1540, rank=0.0504, reg=0.1036]
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train epoch 1/1:  14%|█▍        | 1525/10792 [10:29<1:11:52,  2.15it/s, loss=0.0635, rank=0.0480, reg=0.0155]
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train epoch 1/1:  14%|█▍        | 1526/10792 [10:29<1:01:37,  2.51it/s, loss=0.0837, rank=0.0333, reg=0.0505]
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train epoch 1/1:  14%|█▍        | 1527/10792 [10:30<50:57,  3.03it/s, loss=0.0877, rank=0.0474, reg=0.0403]
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train epoch 1/1:  14%|█▍        | 1528/10792 [10:30<1:14:46,  2.07it/s, loss=0.0922, rank=0.0555, reg=0.0367]
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train epoch 1/1:  14%|█▍        | 1529/10792 [10:30<1:03:44,  2.42it/s, loss=0.1135, rank=0.0613, reg=0.0522]
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train epoch 1/1:  14%|█▍        | 1530/10792 [10:31<50:13,  3.07it/s, loss=0.0769, rank=0.0488, reg=0.0281]
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train epoch 1/1:  14%|█▍        | 1531/10792 [10:31<51:00,  3.03it/s, loss=0.0430, rank=0.0207, reg=0.0223]
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train epoch 1/1:  14%|█▍        | 1533/10792 [10:32<1:16:26,  2.02it/s, loss=0.0744, rank=0.0498, reg=0.0247]
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train epoch 1/1:  14%|█▍        | 1534/10792 [10:33<1:17:00,  2.00it/s, loss=0.0949, rank=0.0622, reg=0.0327]
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train epoch 1/1:  14%|█▍        | 1538/10792 [10:35<1:12:42,  2.12it/s, loss=0.0371, rank=0.0290, reg=0.0081]
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train epoch 1/1:  14%|█▍        | 1539/10792 [10:35<1:03:22,  2.43it/s, loss=0.0661, rank=0.0621, reg=0.0040]
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train epoch 1/1:  14%|█▍        | 1540/10792 [10:35<52:01,  2.96it/s, loss=0.0587, rank=0.0287, reg=0.0300]
train epoch 1/1:  14%|█▍        | 1541/10792 [10:35<49:44,  3.10it/s, loss=0.0587, rank=0.0287, reg=0.0300]
train epoch 1/1:  14%|█▍        | 1541/10792 [10:36<49:44,  3.10it/s, loss=0.1076, rank=0.0576, reg=0.0500]
train epoch 1/1:  14%|█▍        | 1542/10792 [10:36<48:46,  3.16it/s, loss=0.1076, rank=0.0576, reg=0.0500]
train epoch 1/1:  14%|█▍        | 1542/10792 [10:36<48:46,  3.16it/s, loss=0.0843, rank=0.0706, reg=0.0136]
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train epoch 1/1:  14%|█▍        | 1543/10792 [10:37<54:10,  2.85it/s, loss=0.0316, rank=0.0255, reg=0.0061]
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train epoch 1/1:  15%|█▍        | 1577/10792 [10:52<1:17:09,  1.99it/s, loss=0.0567, rank=0.0284, reg=0.0283]
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train epoch 1/1:  15%|█▍        | 1578/10792 [10:52<1:22:25,  1.86it/s, loss=0.0907, rank=0.0409, reg=0.0498]
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train epoch 1/1:  15%|█▍        | 1579/10792 [10:53<1:09:19,  2.22it/s, loss=0.0905, rank=0.0810, reg=0.0095]
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train epoch 1/1:  15%|█▍        | 1580/10792 [10:53<58:39,  2.62it/s, loss=0.0841, rank=0.0414, reg=0.0427]
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train epoch 1/1:  15%|█▍        | 1582/10792 [10:54<58:08,  2.64it/s, loss=0.0533, rank=0.0245, reg=0.0288]
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train epoch 1/1:  15%|█▍        | 1585/10792 [10:54<47:28,  3.23it/s, loss=0.0440, rank=0.0257, reg=0.0183]
train epoch 1/1:  15%|█▍        | 1585/10792 [10:55<47:28,  3.23it/s, loss=0.0890, rank=0.0390, reg=0.0500]
train epoch 1/1:  15%|█▍        | 1586/10792 [10:55<50:54,  3.01it/s, loss=0.0890, rank=0.0390, reg=0.0500]
train epoch 1/1:  15%|█▍        | 1586/10792 [10:55<50:54,  3.01it/s, loss=0.0804, rank=0.0411, reg=0.0393]
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train epoch 1/1:  15%|█▍        | 1587/10792 [10:55<49:52,  3.08it/s, loss=0.0470, rank=0.0336, reg=0.0134]
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train epoch 1/1:  15%|█▍        | 1588/10792 [10:56<45:16,  3.39it/s, loss=0.1021, rank=0.0339, reg=0.0682]
train epoch 1/1:  15%|█▍        | 1589/10792 [10:56<49:14,  3.11it/s, loss=0.1021, rank=0.0339, reg=0.0682]
train epoch 1/1:  15%|█▍        | 1589/10792 [10:56<49:14,  3.11it/s, loss=0.1181, rank=0.0539, reg=0.0642]
train epoch 1/1:  15%|█▍        | 1590/10792 [10:56<41:56,  3.66it/s, loss=0.1181, rank=0.0539, reg=0.0642]
train epoch 1/1:  15%|█▍        | 1590/10792 [10:56<41:56,  3.66it/s, loss=0.0882, rank=0.0408, reg=0.0474]
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train epoch 1/1:  15%|█▍        | 1591/10792 [10:56<42:40,  3.59it/s, loss=0.0920, rank=0.0459, reg=0.0461]
train epoch 1/1:  15%|█▍        | 1592/10792 [10:56<36:19,  4.22it/s, loss=0.0920, rank=0.0459, reg=0.0461]
train epoch 1/1:  15%|█▍        | 1592/10792 [10:57<36:19,  4.22it/s, loss=0.0588, rank=0.0400, reg=0.0188]
train epoch 1/1:  15%|█▍        | 1593/10792 [10:57<41:16,  3.72it/s, loss=0.0588, rank=0.0400, reg=0.0188]
train epoch 1/1:  15%|█▍        | 1593/10792 [10:57<41:16,  3.72it/s, loss=0.0809, rank=0.0417, reg=0.0392]
train epoch 1/1:  15%|█▍        | 1594/10792 [10:57<40:16,  3.81it/s, loss=0.0809, rank=0.0417, reg=0.0392]
train epoch 1/1:  15%|█▍        | 1594/10792 [10:57<40:16,  3.81it/s, loss=0.1219, rank=0.0686, reg=0.0533]
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train epoch 1/1:  15%|█▍        | 1595/10792 [10:57<42:51,  3.58it/s, loss=0.0671, rank=0.0314, reg=0.0357]
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train epoch 1/1:  15%|█▍        | 1596/10792 [10:58<43:20,  3.54it/s, loss=0.1223, rank=0.1056, reg=0.0167]
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train epoch 1/1:  15%|█▍        | 1597/10792 [10:58<42:36,  3.60it/s, loss=0.0712, rank=0.0213, reg=0.0499]
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train epoch 1/1:  15%|█▍        | 1598/10792 [10:58<50:35,  3.03it/s, loss=0.0366, rank=0.0215, reg=0.0151]
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train epoch 1/1:  15%|█▍        | 1599/10792 [10:59<45:52,  3.34it/s, loss=0.0939, rank=0.0600, reg=0.0339]
train epoch 1/1:  15%|█▍        | 1600/10792 [10:59<46:14,  3.31it/s, loss=0.0939, rank=0.0600, reg=0.0339]
train epoch 1/1:  15%|█▍        | 1600/10792 [10:59<46:14,  3.31it/s, loss=0.1500, rank=0.0768, reg=0.0733]
train epoch 1/1:  15%|█▍        | 1601/10792 [10:59<41:38,  3.68it/s, loss=0.1500, rank=0.0768, reg=0.0733]
train epoch 1/1:  15%|█▍        | 1601/10792 [10:59<41:38,  3.68it/s, loss=0.0875, rank=0.0481, reg=0.0394]
train epoch 1/1:  15%|█▍        | 1602/10792 [10:59<41:44,  3.67it/s, loss=0.0875, rank=0.0481, reg=0.0394]
train epoch 1/1:  15%|█▍        | 1602/10792 [11:00<41:44,  3.67it/s, loss=0.1415, rank=0.0648, reg=0.0767]
train epoch 1/1:  15%|█▍        | 1603/10792 [11:00<51:45,  2.96it/s, loss=0.1415, rank=0.0648, reg=0.0767]
train epoch 1/1:  15%|█▍        | 1603/10792 [11:00<51:45,  2.96it/s, loss=0.0794, rank=0.0297, reg=0.0497]
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train epoch 1/1:  15%|█▍        | 1604/10792 [11:01<1:10:45,  2.16it/s, loss=0.1710, rank=0.0543, reg=0.1167]
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train epoch 1/1:  15%|█▍        | 1605/10792 [11:01<57:56,  2.64it/s, loss=0.0695, rank=0.0318, reg=0.0377]
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train epoch 1/1:  15%|█▍        | 1606/10792 [11:01<54:00,  2.83it/s, loss=0.0807, rank=0.0689, reg=0.0118]
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train epoch 1/1:  15%|█▍        | 1607/10792 [11:02<43:21,  3.53it/s, loss=0.1859, rank=0.0565, reg=0.1294]
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train epoch 1/1:  15%|█▍        | 1608/10792 [11:02<58:29,  2.62it/s, loss=0.1400, rank=0.0623, reg=0.0777]
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train epoch 1/1:  15%|█▍        | 1609/10792 [11:02<1:01:28,  2.49it/s, loss=0.1046, rank=0.0533, reg=0.0513]
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train epoch 1/1:  15%|█▌        | 1660/10792 [11:23<56:40,  2.69it/s, loss=0.2137, rank=0.0266, reg=0.1872]
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train epoch 1/1:  15%|█▌        | 1665/10792 [11:25<59:24,  2.56it/s, loss=0.0935, rank=0.0756, reg=0.0179]
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train epoch 1/1:  16%|█▌        | 1673/10792 [11:27<38:38,  3.93it/s, loss=0.0726, rank=0.0437, reg=0.0289]
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train epoch 1/1:  16%|█▌        | 1674/10792 [11:28<34:51,  4.36it/s, loss=0.0369, rank=0.0000, reg=0.0369]
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train epoch 1/1:  16%|█▌        | 1675/10792 [11:28<58:02,  2.62it/s, loss=0.0721, rank=0.0426, reg=0.0295]
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train epoch 1/1:  16%|█▌        | 1709/10792 [11:41<1:11:59,  2.10it/s, loss=0.0421, rank=0.0296, reg=0.0125]
train epoch 1/1:  16%|█▌        | 1710/10792 [11:41<1:01:47,  2.45it/s, loss=0.0421, rank=0.0296, reg=0.0125]
train epoch 1/1:  16%|█▌        | 1710/10792 [11:41<1:01:47,  2.45it/s, loss=0.0163, rank=0.0099, reg=0.0063]
train epoch 1/1:  16%|█▌        | 1711/10792 [11:41<56:18,  2.69it/s, loss=0.0163, rank=0.0099, reg=0.0063]  
train epoch 1/1:  16%|█▌        | 1711/10792 [11:42<56:18,  2.69it/s, loss=0.0693, rank=0.0369, reg=0.0323]
train epoch 1/1:  16%|█▌        | 1712/10792 [11:42<1:16:19,  1.98it/s, loss=0.0693, rank=0.0369, reg=0.0323]
train epoch 1/1:  16%|█▌        | 1712/10792 [11:43<1:16:19,  1.98it/s, loss=0.0776, rank=0.0651, reg=0.0125]
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train epoch 1/1:  16%|█▌        | 1713/10792 [11:43<1:18:36,  1.92it/s, loss=0.0615, rank=0.0322, reg=0.0293]
train epoch 1/1:  16%|█▌        | 1714/10792 [11:43<1:08:00,  2.22it/s, loss=0.0615, rank=0.0322, reg=0.0293]
train epoch 1/1:  16%|█▌        | 1714/10792 [11:43<1:08:00,  2.22it/s, loss=0.0725, rank=0.0525, reg=0.0200]
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train epoch 1/1:  16%|█▌        | 1715/10792 [11:43<53:54,  2.81it/s, loss=0.1101, rank=0.0880, reg=0.0222]
train epoch 1/1:  16%|█▌        | 1716/10792 [11:43<42:55,  3.52it/s, loss=0.1101, rank=0.0880, reg=0.0222]
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train epoch 1/1:  16%|█▌        | 1717/10792 [11:44<40:32,  3.73it/s, loss=0.0920, rank=0.0764, reg=0.0156]
train epoch 1/1:  16%|█▌        | 1717/10792 [11:44<40:32,  3.73it/s, loss=0.1130, rank=0.0595, reg=0.0535]
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train epoch 1/1:  16%|█▌        | 1718/10792 [11:44<40:32,  3.73it/s, loss=0.0469, rank=0.0358, reg=0.0111]
train epoch 1/1:  16%|█▌        | 1719/10792 [11:44<35:34,  4.25it/s, loss=0.0469, rank=0.0358, reg=0.0111]
train epoch 1/1:  16%|█▌        | 1719/10792 [11:45<35:34,  4.25it/s, loss=0.1207, rank=0.0901, reg=0.0306]
train epoch 1/1:  16%|█▌        | 1720/10792 [11:45<50:19,  3.00it/s, loss=0.1207, rank=0.0901, reg=0.0306]
train epoch 1/1:  16%|█▌        | 1720/10792 [11:45<50:19,  3.00it/s, loss=0.1224, rank=0.0564, reg=0.0660]
train epoch 1/1:  16%|█▌        | 1721/10792 [11:45<1:12:20,  2.09it/s, loss=0.1224, rank=0.0564, reg=0.0660]
train epoch 1/1:  16%|█▌        | 1721/10792 [11:46<1:12:20,  2.09it/s, loss=0.0944, rank=0.0665, reg=0.0279]
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train epoch 1/1:  16%|█▌        | 1722/10792 [11:46<1:27:10,  1.73it/s, loss=0.0693, rank=0.0486, reg=0.0207]
train epoch 1/1:  16%|█▌        | 1723/10792 [11:46<1:09:00,  2.19it/s, loss=0.0693, rank=0.0486, reg=0.0207]
train epoch 1/1:  16%|█▌        | 1723/10792 [11:47<1:09:00,  2.19it/s, loss=0.0295, rank=0.0122, reg=0.0174]
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train epoch 1/1:  16%|█▌        | 1724/10792 [11:47<1:03:08,  2.39it/s, loss=0.0986, rank=0.0685, reg=0.0301]
train epoch 1/1:  16%|█▌        | 1725/10792 [11:47<1:01:48,  2.44it/s, loss=0.0986, rank=0.0685, reg=0.0301]
train epoch 1/1:  16%|█▌        | 1725/10792 [11:47<1:01:48,  2.44it/s, loss=0.0328, rank=0.0104, reg=0.0224]
train epoch 1/1:  16%|█▌        | 1726/10792 [11:47<50:15,  3.01it/s, loss=0.0328, rank=0.0104, reg=0.0224]  
train epoch 1/1:  16%|█▌        | 1726/10792 [11:48<50:15,  3.01it/s, loss=0.0814, rank=0.0445, reg=0.0370]
train epoch 1/1:  16%|█▌        | 1727/10792 [11:48<46:58,  3.22it/s, loss=0.0814, rank=0.0445, reg=0.0370]
train epoch 1/1:  16%|█▌        | 1727/10792 [11:48<46:58,  3.22it/s, loss=0.2432, rank=0.0659, reg=0.1773]
train epoch 1/1:  16%|█▌        | 1728/10792 [11:48<43:00,  3.51it/s, loss=0.2432, rank=0.0659, reg=0.1773]
train epoch 1/1:  16%|█▌        | 1728/10792 [11:48<43:00,  3.51it/s, loss=0.0412, rank=0.0237, reg=0.0175]
train epoch 1/1:  16%|█▌        | 1729/10792 [11:48<46:35,  3.24it/s, loss=0.0412, rank=0.0237, reg=0.0175]
train epoch 1/1:  16%|█▌        | 1729/10792 [11:48<46:35,  3.24it/s, loss=0.0670, rank=0.0469, reg=0.0202]
train epoch 1/1:  16%|█▌        | 1730/10792 [11:48<41:12,  3.66it/s, loss=0.0670, rank=0.0469, reg=0.0202]
train epoch 1/1:  16%|█▌        | 1730/10792 [11:49<41:12,  3.66it/s, loss=0.0600, rank=0.0469, reg=0.0130]
train epoch 1/1:  16%|█▌        | 1731/10792 [11:49<50:43,  2.98it/s, loss=0.0600, rank=0.0469, reg=0.0130]
train epoch 1/1:  16%|█▌        | 1731/10792 [11:49<50:43,  2.98it/s, loss=0.0333, rank=0.0217, reg=0.0116]
train epoch 1/1:  16%|█▌        | 1732/10792 [11:49<56:41,  2.66it/s, loss=0.0333, rank=0.0217, reg=0.0116]
train epoch 1/1:  16%|█▌        | 1732/10792 [11:49<56:41,  2.66it/s, loss=0.0438, rank=0.0087, reg=0.0350]
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train epoch 1/1:  16%|█▌        | 1733/10792 [11:50<48:58,  3.08it/s, loss=0.0511, rank=0.0191, reg=0.0320]
train epoch 1/1:  16%|█▌        | 1734/10792 [11:50<1:00:59,  2.48it/s, loss=0.0511, rank=0.0191, reg=0.0320]
train epoch 1/1:  16%|█▌        | 1734/10792 [11:50<1:00:59,  2.48it/s, loss=0.1812, rank=0.0535, reg=0.1277]
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train epoch 1/1:  16%|█▌        | 1735/10792 [11:51<58:06,  2.60it/s, loss=0.0838, rank=0.0678, reg=0.0160]
train epoch 1/1:  16%|█▌        | 1736/10792 [11:51<52:59,  2.85it/s, loss=0.0838, rank=0.0678, reg=0.0160]
train epoch 1/1:  16%|█▌        | 1736/10792 [11:51<52:59,  2.85it/s, loss=0.1742, rank=0.0396, reg=0.1346]
train epoch 1/1:  16%|█▌        | 1737/10792 [11:51<45:09,  3.34it/s, loss=0.1742, rank=0.0396, reg=0.1346]
train epoch 1/1:  16%|█▌        | 1737/10792 [11:52<45:09,  3.34it/s, loss=0.0820, rank=0.0423, reg=0.0397]
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train epoch 1/1:  16%|█▌        | 1738/10792 [11:52<1:14:25,  2.03it/s, loss=0.0295, rank=0.0026, reg=0.0268]
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train epoch 1/1:  16%|█▌        | 1739/10792 [11:53<1:12:31,  2.08it/s, loss=0.1751, rank=0.0848, reg=0.0902]
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train epoch 1/1:  16%|█▌        | 1740/10792 [11:53<1:11:25,  2.11it/s, loss=0.0427, rank=0.0183, reg=0.0244]
train epoch 1/1:  16%|█▌        | 1741/10792 [11:53<1:15:10,  2.01it/s, loss=0.0427, rank=0.0183, reg=0.0244]
train epoch 1/1:  16%|█▌        | 1741/10792 [11:53<1:15:10,  2.01it/s, loss=0.0495, rank=0.0318, reg=0.0177]
train epoch 1/1:  16%|█▌        | 1742/10792 [11:53<1:04:03,  2.35it/s, loss=0.0495, rank=0.0318, reg=0.0177]
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train epoch 1/1:  16%|█▋        | 1776/10792 [12:07<41:19,  3.64it/s, loss=0.0776, rank=0.0393, reg=0.0382]
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train epoch 1/1:  16%|█▋        | 1777/10792 [12:07<1:01:45,  2.43it/s, loss=0.1622, rank=0.0711, reg=0.0911]
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train epoch 1/1:  16%|█▋        | 1778/10792 [12:07<51:36,  2.91it/s, loss=0.0933, rank=0.0613, reg=0.0320]
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train epoch 1/1:  16%|█▋        | 1779/10792 [12:08<49:03,  3.06it/s, loss=0.0372, rank=0.0175, reg=0.0197]
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train epoch 1/1:  17%|█▋        | 1781/10792 [12:09<52:06,  2.88it/s, loss=0.0657, rank=0.0492, reg=0.0165]
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train epoch 1/1:  17%|█▋        | 1784/10792 [12:10<54:25,  2.76it/s, loss=0.0394, rank=0.0148, reg=0.0246]
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train epoch 1/1:  17%|█▋        | 1785/10792 [12:10<53:43,  2.79it/s, loss=0.0857, rank=0.0155, reg=0.0702]
train epoch 1/1:  17%|█▋        | 1786/10792 [12:10<45:13,  3.32it/s, loss=0.0857, rank=0.0155, reg=0.0702]
train epoch 1/1:  17%|█▋        | 1786/10792 [12:10<45:13,  3.32it/s, loss=0.1460, rank=0.0627, reg=0.0833]
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train epoch 1/1:  17%|█▋        | 1787/10792 [12:11<57:11,  2.62it/s, loss=0.0462, rank=0.0246, reg=0.0217]
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train epoch 1/1:  17%|█▋        | 1790/10792 [12:12<56:50,  2.64it/s, loss=0.1272, rank=0.0361, reg=0.0911]
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train epoch 1/1:  17%|█▋        | 1791/10792 [12:13<1:13:25,  2.04it/s, loss=0.0675, rank=0.0294, reg=0.0380]
train epoch 1/1:  17%|█▋        | 1792/10792 [12:13<1:02:58,  2.38it/s, loss=0.0675, rank=0.0294, reg=0.0380]
train epoch 1/1:  17%|█▋        | 1792/10792 [12:13<1:02:58,  2.38it/s, loss=0.0825, rank=0.0384, reg=0.0441]
train epoch 1/1:  17%|█▋        | 1793/10792 [12:13<58:32,  2.56it/s, loss=0.0825, rank=0.0384, reg=0.0441]  
train epoch 1/1:  17%|█▋        | 1793/10792 [12:13<58:32,  2.56it/s, loss=0.0825, rank=0.0639, reg=0.0186]
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train epoch 1/1:  17%|█▋        | 1794/10792 [12:13<53:52,  2.78it/s, loss=0.0842, rank=0.0487, reg=0.0355]
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train epoch 1/1:  17%|█▋        | 1795/10792 [12:14<50:23,  2.98it/s, loss=0.0320, rank=0.0160, reg=0.0159]
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train epoch 1/1:  17%|█▋        | 1796/10792 [12:14<1:01:50,  2.42it/s, loss=0.0731, rank=0.0477, reg=0.0254]
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train epoch 1/1:  17%|█▋        | 1797/10792 [12:15<52:38,  2.85it/s, loss=0.1008, rank=0.0678, reg=0.0330]
train epoch 1/1:  17%|█▋        | 1798/10792 [12:15<47:31,  3.15it/s, loss=0.1008, rank=0.0678, reg=0.0330]
train epoch 1/1:  17%|█▋        | 1798/10792 [12:15<47:31,  3.15it/s, loss=0.0373, rank=0.0108, reg=0.0265]
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train epoch 1/1:  17%|█▋        | 1799/10792 [12:15<44:49,  3.34it/s, loss=0.0841, rank=0.0419, reg=0.0422]
train epoch 1/1:  17%|█▋        | 1800/10792 [12:15<55:28,  2.70it/s, loss=0.0841, rank=0.0419, reg=0.0422]
train epoch 1/1:  17%|█▋        | 1800/10792 [12:15<55:28,  2.70it/s, loss=0.0757, rank=0.0281, reg=0.0476]
train epoch 1/1:  17%|█▋        | 1801/10792 [12:15<45:34,  3.29it/s, loss=0.0757, rank=0.0281, reg=0.0476]
train epoch 1/1:  17%|█▋        | 1801/10792 [12:16<45:34,  3.29it/s, loss=0.0472, rank=0.0369, reg=0.0103]
train epoch 1/1:  17%|█▋        | 1802/10792 [12:16<53:36,  2.79it/s, loss=0.0472, rank=0.0369, reg=0.0103]
train epoch 1/1:  17%|█▋        | 1802/10792 [12:17<53:36,  2.79it/s, loss=0.2135, rank=0.0657, reg=0.1478]
train epoch 1/1:  17%|█▋        | 1803/10792 [12:17<1:09:19,  2.16it/s, loss=0.2135, rank=0.0657, reg=0.1478]
train epoch 1/1:  17%|█▋        | 1803/10792 [12:17<1:09:19,  2.16it/s, loss=0.0666, rank=0.0352, reg=0.0314]
train epoch 1/1:  17%|█▋        | 1804/10792 [12:17<1:15:08,  1.99it/s, loss=0.0666, rank=0.0352, reg=0.0314]
train epoch 1/1:  17%|█▋        | 1804/10792 [12:18<1:15:08,  1.99it/s, loss=0.1133, rank=0.0420, reg=0.0713]
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train epoch 1/1:  17%|█▋        | 1805/10792 [12:18<1:27:06,  1.72it/s, loss=0.1450, rank=0.0752, reg=0.0698]
train epoch 1/1:  17%|█▋        | 1806/10792 [12:18<1:14:20,  2.01it/s, loss=0.1450, rank=0.0752, reg=0.0698]
train epoch 1/1:  17%|█▋        | 1806/10792 [12:19<1:14:20,  2.01it/s, loss=0.0784, rank=0.0438, reg=0.0346]
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train epoch 1/1:  17%|█▋        | 1807/10792 [12:20<1:01:48,  2.42it/s, loss=0.1027, rank=0.0629, reg=0.0398]
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train epoch 1/1:  17%|█▋        | 1809/10792 [12:20<1:21:30,  1.84it/s, loss=0.0806, rank=0.0422, reg=0.0384]
train epoch 1/1:  17%|█▋        | 1809/10792 [12:20<1:21:30,  1.84it/s, loss=0.0826, rank=0.0408, reg=0.0419]
train epoch 1/1:  17%|█▋        | 1810/10792 [12:20<1:05:46,  2.28it/s, loss=0.0826, rank=0.0408, reg=0.0419]
train epoch 1/1:  17%|█▋        | 1810/10792 [12:21<1:05:46,  2.28it/s, loss=0.0577, rank=0.0437, reg=0.0140]
train epoch 1/1:  17%|█▋        | 1811/10792 [12:21<1:14:04,  2.02it/s, loss=0.0577, rank=0.0437, reg=0.0140]
train epoch 1/1:  17%|█▋        | 1811/10792 [12:21<1:14:04,  2.02it/s, loss=0.0876, rank=0.0645, reg=0.0231]
train epoch 1/1:  17%|█▋        | 1812/10792 [12:21<1:01:37,  2.43it/s, loss=0.0876, rank=0.0645, reg=0.0231]
train epoch 1/1:  17%|█▋        | 1812/10792 [12:21<1:01:37,  2.43it/s, loss=0.0848, rank=0.0381, reg=0.0467]
train epoch 1/1:  17%|█▋        | 1813/10792 [12:21<55:10,  2.71it/s, loss=0.0848, rank=0.0381, reg=0.0467]  
train epoch 1/1:  17%|█▋        | 1813/10792 [12:22<55:10,  2.71it/s, loss=0.1828, rank=0.1060, reg=0.0767]
train epoch 1/1:  17%|█▋        | 1814/10792 [12:22<47:30,  3.15it/s, loss=0.1828, rank=0.1060, reg=0.0767]
train epoch 1/1:  17%|█▋        | 1814/10792 [12:22<47:30,  3.15it/s, loss=0.0684, rank=0.0400, reg=0.0284]
train epoch 1/1:  17%|█▋        | 1815/10792 [12:22<41:44,  3.58it/s, loss=0.0684, rank=0.0400, reg=0.0284]
train epoch 1/1:  17%|█▋        | 1815/10792 [12:22<41:44,  3.58it/s, loss=0.0522, rank=0.0411, reg=0.0110]
train epoch 1/1:  17%|█▋        | 1816/10792 [12:22<41:08,  3.64it/s, loss=0.0522, rank=0.0411, reg=0.0110]
train epoch 1/1:  17%|█▋        | 1816/10792 [12:22<41:08,  3.64it/s, loss=0.0622, rank=0.0418, reg=0.0203]
train epoch 1/1:  17%|█▋        | 1817/10792 [12:22<37:10,  4.02it/s, loss=0.0622, rank=0.0418, reg=0.0203]
train epoch 1/1:  17%|█▋        | 1817/10792 [12:23<37:10,  4.02it/s, loss=0.0761, rank=0.0000, reg=0.0761]
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train epoch 1/1:  17%|█▋        | 1818/10792 [12:23<1:12:21,  2.07it/s, loss=0.0948, rank=0.0353, reg=0.0594]
train epoch 1/1:  17%|█▋        | 1819/10792 [12:23<1:00:45,  2.46it/s, loss=0.0948, rank=0.0353, reg=0.0594]
train epoch 1/1:  17%|█▋        | 1819/10792 [12:24<1:00:45,  2.46it/s, loss=0.0538, rank=0.0411, reg=0.0127]
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train epoch 1/1:  17%|█▋        | 1820/10792 [12:24<59:24,  2.52it/s, loss=0.0701, rank=0.0050, reg=0.0651]
train epoch 1/1:  17%|█▋        | 1821/10792 [12:24<51:33,  2.90it/s, loss=0.0701, rank=0.0050, reg=0.0651]
train epoch 1/1:  17%|█▋        | 1821/10792 [12:24<51:33,  2.90it/s, loss=0.1016, rank=0.0428, reg=0.0587]
train epoch 1/1:  17%|█▋        | 1822/10792 [12:24<50:52,  2.94it/s, loss=0.1016, rank=0.0428, reg=0.0587]
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train epoch 1/1:  17%|█▋        | 1824/10792 [12:26<39:10,  3.82it/s, loss=0.0176, rank=0.0039, reg=0.0137]
train epoch 1/1:  17%|█▋        | 1825/10792 [12:26<1:00:52,  2.46it/s, loss=0.0176, rank=0.0039, reg=0.0137]
train epoch 1/1:  17%|█▋        | 1825/10792 [12:26<1:00:52,  2.46it/s, loss=0.0707, rank=0.0523, reg=0.0184]
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train epoch 1/1:  17%|█▋        | 1826/10792 [12:26<54:09,  2.76it/s, loss=0.1332, rank=0.1182, reg=0.0150]
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train epoch 1/1:  17%|█▋        | 1827/10792 [12:26<42:25,  3.52it/s, loss=0.0489, rank=0.0169, reg=0.0320]
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train epoch 1/1:  17%|█▋        | 1828/10792 [12:27<57:01,  2.62it/s, loss=0.0783, rank=0.0441, reg=0.0342]
train epoch 1/1:  17%|█▋        | 1829/10792 [12:27<51:13,  2.92it/s, loss=0.0783, rank=0.0441, reg=0.0342]
train epoch 1/1:  17%|█▋        | 1829/10792 [12:27<51:13,  2.92it/s, loss=0.0915, rank=0.0372, reg=0.0543]
train epoch 1/1:  17%|█▋        | 1830/10792 [12:27<47:00,  3.18it/s, loss=0.0915, rank=0.0372, reg=0.0543]
train epoch 1/1:  17%|█▋        | 1830/10792 [12:27<47:00,  3.18it/s, loss=0.0680, rank=0.0527, reg=0.0152]
train epoch 1/1:  17%|█▋        | 1831/10792 [12:27<43:33,  3.43it/s, loss=0.0680, rank=0.0527, reg=0.0152]
train epoch 1/1:  17%|█▋        | 1831/10792 [12:27<43:33,  3.43it/s, loss=0.1297, rank=0.0388, reg=0.0909]
train epoch 1/1:  17%|█▋        | 1832/10792 [12:27<39:50,  3.75it/s, loss=0.1297, rank=0.0388, reg=0.0909]
train epoch 1/1:  17%|█▋        | 1832/10792 [12:28<39:50,  3.75it/s, loss=0.0684, rank=0.0053, reg=0.0630]
train epoch 1/1:  17%|█▋        | 1833/10792 [12:28<1:07:43,  2.21it/s, loss=0.0684, rank=0.0053, reg=0.0630]
train epoch 1/1:  17%|█▋        | 1833/10792 [12:29<1:07:43,  2.21it/s, loss=0.0874, rank=0.0623, reg=0.0251]
train epoch 1/1:  17%|█▋        | 1834/10792 [12:29<59:16,  2.52it/s, loss=0.0874, rank=0.0623, reg=0.0251]  
train epoch 1/1:  17%|█▋        | 1834/10792 [12:29<59:16,  2.52it/s, loss=0.0641, rank=0.0231, reg=0.0410]
train epoch 1/1:  17%|█▋        | 1835/10792 [12:29<1:17:10,  1.93it/s, loss=0.0641, rank=0.0231, reg=0.0410]
train epoch 1/1:  17%|█▋        | 1835/10792 [12:30<1:17:10,  1.93it/s, loss=0.0874, rank=0.0468, reg=0.0406]
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train epoch 1/1:  17%|█▋        | 1836/10792 [12:30<1:13:54,  2.02it/s, loss=0.0804, rank=0.0274, reg=0.0530]
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train epoch 1/1:  17%|█▋        | 1837/10792 [12:30<1:02:10,  2.40it/s, loss=0.0916, rank=0.0790, reg=0.0125]
train epoch 1/1:  17%|█▋        | 1838/10792 [12:30<55:49,  2.67it/s, loss=0.0916, rank=0.0790, reg=0.0125]  
train epoch 1/1:  17%|█▋        | 1838/10792 [12:31<55:49,  2.67it/s, loss=0.0452, rank=0.0121, reg=0.0331]
train epoch 1/1:  17%|█▋        | 1839/10792 [12:31<1:02:10,  2.40it/s, loss=0.0452, rank=0.0121, reg=0.0331]
train epoch 1/1:  17%|█▋        | 1839/10792 [12:32<1:02:10,  2.40it/s, loss=0.0966, rank=0.0540, reg=0.0426]
train epoch 1/1:  17%|█▋        | 1840/10792 [12:32<1:13:45,  2.02it/s, loss=0.0966, rank=0.0540, reg=0.0426]
train epoch 1/1:  17%|█▋        | 1840/10792 [12:32<1:13:45,  2.02it/s, loss=0.0697, rank=0.0443, reg=0.0254]
train epoch 1/1:  17%|█▋        | 1841/10792 [12:32<59:47,  2.50it/s, loss=0.0697, rank=0.0443, reg=0.0254]  
train epoch 1/1:  17%|█▋        | 1841/10792 [12:32<59:47,  2.50it/s, loss=0.1345, rank=0.0367, reg=0.0978]
train epoch 1/1:  17%|█▋        | 1842/10792 [12:32<57:24,  2.60it/s, loss=0.1345, rank=0.0367, reg=0.0978]
train epoch 1/1:  17%|█▋        | 1842/10792 [12:32<57:24,  2.60it/s, loss=0.1207, rank=0.0176, reg=0.1031]
train epoch 1/1:  17%|█▋        | 1843/10792 [12:32<58:01,  2.57it/s, loss=0.1207, rank=0.0176, reg=0.1031]
train epoch 1/1:  17%|█▋        | 1843/10792 [12:33<58:01,  2.57it/s, loss=0.1446, rank=0.0528, reg=0.0918]
train epoch 1/1:  17%|█▋        | 1844/10792 [12:33<50:14,  2.97it/s, loss=0.1446, rank=0.0528, reg=0.0918]
train epoch 1/1:  17%|█▋        | 1844/10792 [12:33<50:14,  2.97it/s, loss=0.0816, rank=0.0372, reg=0.0444]
train epoch 1/1:  17%|█▋        | 1845/10792 [12:33<49:47,  3.00it/s, loss=0.0816, rank=0.0372, reg=0.0444]
train epoch 1/1:  17%|█▋        | 1845/10792 [12:34<49:47,  3.00it/s, loss=0.0634, rank=0.0213, reg=0.0421]
train epoch 1/1:  17%|█▋        | 1846/10792 [12:34<58:07,  2.57it/s, loss=0.0634, rank=0.0213, reg=0.0421]
train epoch 1/1:  17%|█▋        | 1846/10792 [12:34<58:07,  2.57it/s, loss=0.0362, rank=0.0240, reg=0.0123]
train epoch 1/1:  17%|█▋        | 1847/10792 [12:34<52:15,  2.85it/s, loss=0.0362, rank=0.0240, reg=0.0123]
train epoch 1/1:  17%|█▋        | 1847/10792 [12:35<52:15,  2.85it/s, loss=0.0955, rank=0.0657, reg=0.0297]
train epoch 1/1:  17%|█▋        | 1848/10792 [12:35<1:23:55,  1.78it/s, loss=0.0955, rank=0.0657, reg=0.0297]
train epoch 1/1:  17%|█▋        | 1848/10792 [12:35<1:23:55,  1.78it/s, loss=0.1380, rank=0.0902, reg=0.0478]
train epoch 1/1:  17%|█▋        | 1849/10792 [12:35<1:07:57,  2.19it/s, loss=0.1380, rank=0.0902, reg=0.0478]
train epoch 1/1:  17%|█▋        | 1849/10792 [12:35<1:07:57,  2.19it/s, loss=0.0858, rank=0.0343, reg=0.0515]
train epoch 1/1:  17%|█▋        | 1850/10792 [12:35<1:02:41,  2.38it/s, loss=0.0858, rank=0.0343, reg=0.0515]
train epoch 1/1:  17%|█▋        | 1850/10792 [12:36<1:02:41,  2.38it/s, loss=0.0922, rank=0.0474, reg=0.0447]
train epoch 1/1:  17%|█▋        | 1851/10792 [12:36<55:35,  2.68it/s, loss=0.0922, rank=0.0474, reg=0.0447]  
train epoch 1/1:  17%|█▋        | 1851/10792 [12:36<55:35,  2.68it/s, loss=0.0937, rank=0.0229, reg=0.0708]
train epoch 1/1:  17%|█▋        | 1852/10792 [12:36<45:28,  3.28it/s, loss=0.0937, rank=0.0229, reg=0.0708]
train epoch 1/1:  17%|█▋        | 1852/10792 [12:36<45:28,  3.28it/s, loss=0.1363, rank=0.0709, reg=0.0654]
train epoch 1/1:  17%|█▋        | 1853/10792 [12:36<40:50,  3.65it/s, loss=0.1363, rank=0.0709, reg=0.0654]
train epoch 1/1:  17%|█▋        | 1853/10792 [12:36<40:50,  3.65it/s, loss=0.0803, rank=0.0653, reg=0.0151]
train epoch 1/1:  17%|█▋        | 1854/10792 [12:36<37:40,  3.95it/s, loss=0.0803, rank=0.0653, reg=0.0151]
train epoch 1/1:  17%|█▋        | 1854/10792 [12:36<37:40,  3.95it/s, loss=0.0808, rank=0.0479, reg=0.0329]
train epoch 1/1:  17%|█▋        | 1855/10792 [12:36<36:14,  4.11it/s, loss=0.0808, rank=0.0479, reg=0.0329]
train epoch 1/1:  17%|█▋        | 1855/10792 [12:37<36:14,  4.11it/s, loss=0.0712, rank=0.0536, reg=0.0176]
train epoch 1/1:  17%|█▋        | 1856/10792 [12:37<32:40,  4.56it/s, loss=0.0712, rank=0.0536, reg=0.0176]
train epoch 1/1:  17%|█▋        | 1856/10792 [12:37<32:40,  4.56it/s, loss=0.0493, rank=0.0344, reg=0.0150]
train epoch 1/1:  17%|█▋        | 1857/10792 [12:37<37:48,  3.94it/s, loss=0.0493, rank=0.0344, reg=0.0150]
train epoch 1/1:  17%|█▋        | 1857/10792 [12:37<37:48,  3.94it/s, loss=0.1986, rank=0.0270, reg=0.1715]
train epoch 1/1:  17%|█▋        | 1858/10792 [12:37<37:04,  4.02it/s, loss=0.1986, rank=0.0270, reg=0.1715]
train epoch 1/1:  17%|█▋        | 1858/10792 [12:38<37:04,  4.02it/s, loss=0.0364, rank=0.0246, reg=0.0118]
train epoch 1/1:  17%|█▋        | 1859/10792 [12:38<58:24,  2.55it/s, loss=0.0364, rank=0.0246, reg=0.0118]
train epoch 1/1:  17%|█▋        | 1859/10792 [12:38<58:24,  2.55it/s, loss=0.0663, rank=0.0390, reg=0.0273]
train epoch 1/1:  17%|█▋        | 1860/10792 [12:38<57:04,  2.61it/s, loss=0.0663, rank=0.0390, reg=0.0273]
train epoch 1/1:  17%|█▋        | 1860/10792 [12:39<57:04,  2.61it/s, loss=0.0634, rank=0.0491, reg=0.0143]
train epoch 1/1:  17%|█▋        | 1861/10792 [12:39<56:36,  2.63it/s, loss=0.0634, rank=0.0491, reg=0.0143]
train epoch 1/1:  17%|█▋        | 1861/10792 [12:39<56:36,  2.63it/s, loss=0.0444, rank=0.0273, reg=0.0171]
train epoch 1/1:  17%|█▋        | 1862/10792 [12:39<57:23,  2.59it/s, loss=0.0444, rank=0.0273, reg=0.0171]
train epoch 1/1:  17%|█▋        | 1862/10792 [12:39<57:23,  2.59it/s, loss=0.0814, rank=0.0511, reg=0.0303]
train epoch 1/1:  17%|█▋        | 1863/10792 [12:39<51:29,  2.89it/s, loss=0.0814, rank=0.0511, reg=0.0303]
train epoch 1/1:  17%|█▋        | 1863/10792 [12:40<51:29,  2.89it/s, loss=0.1225, rank=0.0862, reg=0.0363]
train epoch 1/1:  17%|█▋        | 1864/10792 [12:40<47:33,  3.13it/s, loss=0.1225, rank=0.0862, reg=0.0363]
train epoch 1/1:  17%|█▋        | 1864/10792 [12:41<47:33,  3.13it/s, loss=0.0310, rank=0.0234, reg=0.0076]
train epoch 1/1:  17%|█▋        | 1865/10792 [12:41<1:25:38,  1.74it/s, loss=0.0310, rank=0.0234, reg=0.0076]
train epoch 1/1:  17%|█▋        | 1865/10792 [12:41<1:25:38,  1.74it/s, loss=0.0486, rank=0.0235, reg=0.0251]
train epoch 1/1:  17%|█▋        | 1866/10792 [12:41<1:16:43,  1.94it/s, loss=0.0486, rank=0.0235, reg=0.0251]
train epoch 1/1:  17%|█▋        | 1866/10792 [12:41<1:16:43,  1.94it/s, loss=0.0870, rank=0.0405, reg=0.0466]
train epoch 1/1:  17%|█▋        | 1867/10792 [12:41<1:08:06,  2.18it/s, loss=0.0870, rank=0.0405, reg=0.0466]
train epoch 1/1:  17%|█▋        | 1867/10792 [12:42<1:08:06,  2.18it/s, loss=0.1643, rank=0.0561, reg=0.1081]
train epoch 1/1:  17%|█▋        | 1868/10792 [12:42<1:00:31,  2.46it/s, loss=0.1643, rank=0.0561, reg=0.1081]
train epoch 1/1:  17%|█▋        | 1868/10792 [12:42<1:00:31,  2.46it/s, loss=0.0713, rank=0.0568, reg=0.0145]
train epoch 1/1:  17%|█▋        | 1869/10792 [12:42<1:00:54,  2.44it/s, loss=0.0713, rank=0.0568, reg=0.0145]
train epoch 1/1:  17%|█▋        | 1869/10792 [12:42<1:00:54,  2.44it/s, loss=0.1074, rank=0.0660, reg=0.0414]
train epoch 1/1:  17%|█▋        | 1870/10792 [12:42<47:18,  3.14it/s, loss=0.1074, rank=0.0660, reg=0.0414]  
train epoch 1/1:  17%|█▋        | 1870/10792 [12:43<47:18,  3.14it/s, loss=0.0573, rank=0.0467, reg=0.0106]
train epoch 1/1:  17%|█▋        | 1871/10792 [12:43<50:58,  2.92it/s, loss=0.0573, rank=0.0467, reg=0.0106]
train epoch 1/1:  17%|█▋        | 1871/10792 [12:43<50:58,  2.92it/s, loss=0.0939, rank=0.0158, reg=0.0781]
train epoch 1/1:  17%|█▋        | 1872/10792 [12:43<52:11,  2.85it/s, loss=0.0939, rank=0.0158, reg=0.0781]
train epoch 1/1:  17%|█▋        | 1872/10792 [12:44<52:11,  2.85it/s, loss=0.0931, rank=0.0385, reg=0.0546]
train epoch 1/1:  17%|█▋        | 1873/10792 [12:44<1:16:06,  1.95it/s, loss=0.0931, rank=0.0385, reg=0.0546]
train epoch 1/1:  17%|█▋        | 1873/10792 [12:45<1:16:06,  1.95it/s, loss=0.0551, rank=0.0438, reg=0.0112]
train epoch 1/1:  17%|█▋        | 1874/10792 [12:45<1:23:19,  1.78it/s, loss=0.0551, rank=0.0438, reg=0.0112]
train epoch 1/1:  17%|█▋        | 1874/10792 [12:45<1:23:19,  1.78it/s, loss=0.0834, rank=0.0375, reg=0.0459]
train epoch 1/1:  17%|█▋        | 1875/10792 [12:45<1:06:18,  2.24it/s, loss=0.0834, rank=0.0375, reg=0.0459]
train epoch 1/1:  17%|█▋        | 1875/10792 [12:45<1:06:18,  2.24it/s, loss=0.0521, rank=0.0386, reg=0.0135]
train epoch 1/1:  17%|█▋        | 1876/10792 [12:45<1:03:04,  2.36it/s, loss=0.0521, rank=0.0386, reg=0.0135]
train epoch 1/1:  17%|█▋        | 1876/10792 [12:46<1:03:04,  2.36it/s, loss=0.0750, rank=0.0465, reg=0.0285]
train epoch 1/1:  17%|█▋        | 1877/10792 [12:46<1:03:39,  2.33it/s, loss=0.0750, rank=0.0465, reg=0.0285]
train epoch 1/1:  17%|█▋        | 1877/10792 [12:46<1:03:39,  2.33it/s, loss=0.0511, rank=0.0246, reg=0.0264]
train epoch 1/1:  17%|█▋        | 1878/10792 [12:46<1:14:03,  2.01it/s, loss=0.0511, rank=0.0246, reg=0.0264]
train epoch 1/1:  17%|█▋        | 1878/10792 [12:47<1:14:03,  2.01it/s, loss=0.0883, rank=0.0341, reg=0.0542]
train epoch 1/1:  17%|█▋        | 1879/10792 [12:47<1:08:48,  2.16it/s, loss=0.0883, rank=0.0341, reg=0.0542]
train epoch 1/1:  17%|█▋        | 1879/10792 [12:47<1:08:48,  2.16it/s, loss=0.0312, rank=0.0107, reg=0.0206]
train epoch 1/1:  17%|█▋        | 1880/10792 [12:47<59:27,  2.50it/s, loss=0.0312, rank=0.0107, reg=0.0206]  
train epoch 1/1:  17%|█▋        | 1880/10792 [12:47<59:27,  2.50it/s, loss=0.0411, rank=0.0341, reg=0.0070]
train epoch 1/1:  17%|█▋        | 1881/10792 [12:47<1:00:44,  2.44it/s, loss=0.0411, rank=0.0341, reg=0.0070]
train epoch 1/1:  17%|█▋        | 1881/10792 [12:47<1:00:44,  2.44it/s, loss=0.0117, rank=0.0017, reg=0.0099]
train epoch 1/1:  17%|█▋        | 1882/10792 [12:47<53:16,  2.79it/s, loss=0.0117, rank=0.0017, reg=0.0099]  
train epoch 1/1:  17%|█▋        | 1882/10792 [12:48<53:16,  2.79it/s, loss=0.0756, rank=0.0665, reg=0.0092]
train epoch 1/1:  17%|█▋        | 1883/10792 [12:48<1:09:50,  2.13it/s, loss=0.0756, rank=0.0665, reg=0.0092]
train epoch 1/1:  17%|█▋        | 1883/10792 [12:48<1:09:50,  2.13it/s, loss=0.0793, rank=0.0635, reg=0.0158]
train epoch 1/1:  17%|█▋        | 1884/10792 [12:48<58:54,  2.52it/s, loss=0.0793, rank=0.0635, reg=0.0158]  
train epoch 1/1:  17%|█▋        | 1884/10792 [12:49<58:54,  2.52it/s, loss=0.0648, rank=0.0307, reg=0.0341]
train epoch 1/1:  17%|█▋        | 1885/10792 [12:49<52:04,  2.85it/s, loss=0.0648, rank=0.0307, reg=0.0341]
train epoch 1/1:  17%|█▋        | 1885/10792 [12:49<52:04,  2.85it/s, loss=0.0616, rank=0.0536, reg=0.0079]
train epoch 1/1:  17%|█▋        | 1886/10792 [12:49<42:08,  3.52it/s, loss=0.0616, rank=0.0536, reg=0.0079]
train epoch 1/1:  17%|█▋        | 1886/10792 [12:49<42:08,  3.52it/s, loss=0.0434, rank=0.0230, reg=0.0204]
train epoch 1/1:  17%|█▋        | 1887/10792 [12:49<47:01,  3.16it/s, loss=0.0434, rank=0.0230, reg=0.0204]
train epoch 1/1:  17%|█▋        | 1887/10792 [12:49<47:01,  3.16it/s, loss=0.0589, rank=0.0237, reg=0.0351]
train epoch 1/1:  17%|█▋        | 1888/10792 [12:49<39:37,  3.74it/s, loss=0.0589, rank=0.0237, reg=0.0351]
train epoch 1/1:  17%|█▋        | 1888/10792 [12:50<39:37,  3.74it/s, loss=0.1303, rank=0.0448, reg=0.0854]
train epoch 1/1:  18%|█▊        | 1889/10792 [12:50<43:07,  3.44it/s, loss=0.1303, rank=0.0448, reg=0.0854]
train epoch 1/1:  18%|█▊        | 1889/10792 [12:50<43:07,  3.44it/s, loss=0.1031, rank=0.0733, reg=0.0297]
train epoch 1/1:  18%|█▊        | 1890/10792 [12:50<40:50,  3.63it/s, loss=0.1031, rank=0.0733, reg=0.0297]
train epoch 1/1:  18%|█▊        | 1890/10792 [12:51<40:50,  3.63it/s, loss=0.0842, rank=0.0246, reg=0.0597]
train epoch 1/1:  18%|█▊        | 1891/10792 [12:51<1:04:28,  2.30it/s, loss=0.0842, rank=0.0246, reg=0.0597]
train epoch 1/1:  18%|█▊        | 1891/10792 [12:51<1:04:28,  2.30it/s, loss=0.0292, rank=0.0202, reg=0.0090]
train epoch 1/1:  18%|█▊        | 1892/10792 [12:51<53:31,  2.77it/s, loss=0.0292, rank=0.0202, reg=0.0090]  
train epoch 1/1:  18%|█▊        | 1892/10792 [12:52<53:31,  2.77it/s, loss=0.0965, rank=0.0640, reg=0.0324]
train epoch 1/1:  18%|█▊        | 1893/10792 [12:52<1:11:32,  2.07it/s, loss=0.0965, rank=0.0640, reg=0.0324]
train epoch 1/1:  18%|█▊        | 1893/10792 [12:52<1:11:32,  2.07it/s, loss=0.0789, rank=0.0538, reg=0.0250]
train epoch 1/1:  18%|█▊        | 1894/10792 [12:52<1:04:06,  2.31it/s, loss=0.0789, rank=0.0538, reg=0.0250]
train epoch 1/1:  18%|█▊        | 1894/10792 [12:52<1:04:06,  2.31it/s, loss=0.1369, rank=0.0326, reg=0.1042]
train epoch 1/1:  18%|█▊        | 1895/10792 [12:52<51:53,  2.86it/s, loss=0.1369, rank=0.0326, reg=0.1042]  
train epoch 1/1:  18%|█▊        | 1895/10792 [12:52<51:53,  2.86it/s, loss=0.0588, rank=0.0178, reg=0.0410]
train epoch 1/1:  18%|█▊        | 1896/10792 [12:52<46:54,  3.16it/s, loss=0.0588, rank=0.0178, reg=0.0410]
train epoch 1/1:  18%|█▊        | 1896/10792 [12:53<46:54,  3.16it/s, loss=0.0943, rank=0.0553, reg=0.0390]
train epoch 1/1:  18%|█▊        | 1897/10792 [12:53<39:25,  3.76it/s, loss=0.0943, rank=0.0553, reg=0.0390]
train epoch 1/1:  18%|█▊        | 1897/10792 [12:53<39:25,  3.76it/s, loss=0.1388, rank=0.0399, reg=0.0990]
train epoch 1/1:  18%|█▊        | 1898/10792 [12:53<36:16,  4.09it/s, loss=0.1388, rank=0.0399, reg=0.0990]
train epoch 1/1:  18%|█▊        | 1898/10792 [12:53<36:16,  4.09it/s, loss=0.0662, rank=0.0458, reg=0.0204]
train epoch 1/1:  18%|█▊        | 1899/10792 [12:53<33:26,  4.43it/s, loss=0.0662, rank=0.0458, reg=0.0204]
train epoch 1/1:  18%|█▊        | 1899/10792 [12:53<33:26,  4.43it/s, loss=0.0605, rank=0.0398, reg=0.0207]
train epoch 1/1:  18%|█▊        | 1900/10792 [12:53<40:15,  3.68it/s, loss=0.0605, rank=0.0398, reg=0.0207]
train epoch 1/1:  18%|█▊        | 1900/10792 [12:54<40:15,  3.68it/s, loss=0.2041, rank=0.0698, reg=0.1343]
train epoch 1/1:  18%|█▊        | 1901/10792 [12:54<37:44,  3.93it/s, loss=0.2041, rank=0.0698, reg=0.1343]
train epoch 1/1:  18%|█▊        | 1901/10792 [12:54<37:44,  3.93it/s, loss=0.1495, rank=0.0925, reg=0.0570]
train epoch 1/1:  18%|█▊        | 1902/10792 [12:54<47:58,  3.09it/s, loss=0.1495, rank=0.0925, reg=0.0570]
train epoch 1/1:  18%|█▊        | 1902/10792 [12:54<47:58,  3.09it/s, loss=0.0429, rank=0.0203, reg=0.0226]
train epoch 1/1:  18%|█▊        | 1903/10792 [12:54<46:32,  3.18it/s, loss=0.0429, rank=0.0203, reg=0.0226]
train epoch 1/1:  18%|█▊        | 1903/10792 [12:54<46:32,  3.18it/s, loss=0.1563, rank=0.0291, reg=0.1273]
train epoch 1/1:  18%|█▊        | 1904/10792 [12:54<38:14,  3.87it/s, loss=0.1563, rank=0.0291, reg=0.1273]
train epoch 1/1:  18%|█▊        | 1904/10792 [12:55<38:14,  3.87it/s, loss=0.1094, rank=0.0884, reg=0.0209]
train epoch 1/1:  18%|█▊        | 1905/10792 [12:55<42:08,  3.51it/s, loss=0.1094, rank=0.0884, reg=0.0209]
train epoch 1/1:  18%|█▊        | 1905/10792 [12:55<42:08,  3.51it/s, loss=0.0899, rank=0.0473, reg=0.0426]
train epoch 1/1:  18%|█▊        | 1906/10792 [12:55<39:59,  3.70it/s, loss=0.0899, rank=0.0473, reg=0.0426]
train epoch 1/1:  18%|█▊        | 1906/10792 [12:55<39:59,  3.70it/s, loss=0.1277, rank=0.0846, reg=0.0431]
train epoch 1/1:  18%|█▊        | 1907/10792 [12:55<41:12,  3.59it/s, loss=0.1277, rank=0.0846, reg=0.0431]
train epoch 1/1:  18%|█▊        | 1907/10792 [12:56<41:12,  3.59it/s, loss=0.0235, rank=0.0162, reg=0.0073]
train epoch 1/1:  18%|█▊        | 1908/10792 [12:56<39:20,  3.76it/s, loss=0.0235, rank=0.0162, reg=0.0073]
train epoch 1/1:  18%|█▊        | 1908/10792 [12:56<39:20,  3.76it/s, loss=0.1805, rank=0.0824, reg=0.0980]
train epoch 1/1:  18%|█▊        | 1909/10792 [12:56<39:28,  3.75it/s, loss=0.1805, rank=0.0824, reg=0.0980]
train epoch 1/1:  18%|█▊        | 1909/10792 [12:56<39:28,  3.75it/s, loss=0.0686, rank=0.0379, reg=0.0307]
train epoch 1/1:  18%|█▊        | 1910/10792 [12:56<39:08,  3.78it/s, loss=0.0686, rank=0.0379, reg=0.0307]
train epoch 1/1:  18%|█▊        | 1910/10792 [12:56<39:08,  3.78it/s, loss=0.0591, rank=0.0498, reg=0.0093]
train epoch 1/1:  18%|█▊        | 1911/10792 [12:56<36:30,  4.05it/s, loss=0.0591, rank=0.0498, reg=0.0093]
train epoch 1/1:  18%|█▊        | 1911/10792 [12:57<36:30,  4.05it/s, loss=0.0596, rank=0.0232, reg=0.0364]
train epoch 1/1:  18%|█▊        | 1912/10792 [12:57<35:44,  4.14it/s, loss=0.0596, rank=0.0232, reg=0.0364]
train epoch 1/1:  18%|█▊        | 1912/10792 [12:57<35:44,  4.14it/s, loss=0.0742, rank=0.0561, reg=0.0181]
train epoch 1/1:  18%|█▊        | 1913/10792 [12:57<46:14,  3.20it/s, loss=0.0742, rank=0.0561, reg=0.0181]
train epoch 1/1:  18%|█▊        | 1913/10792 [12:58<46:14,  3.20it/s, loss=0.0124, rank=0.0059, reg=0.0065]
train epoch 1/1:  18%|█▊        | 1914/10792 [12:58<56:36,  2.61it/s, loss=0.0124, rank=0.0059, reg=0.0065]
train epoch 1/1:  18%|█▊        | 1914/10792 [12:58<56:36,  2.61it/s, loss=0.0883, rank=0.0322, reg=0.0561]
train epoch 1/1:  18%|█▊        | 1915/10792 [12:58<49:10,  3.01it/s, loss=0.0883, rank=0.0322, reg=0.0561]
train epoch 1/1:  18%|█▊        | 1915/10792 [12:58<49:10,  3.01it/s, loss=0.0893, rank=0.0553, reg=0.0340]
train epoch 1/1:  18%|█▊        | 1916/10792 [12:58<1:00:29,  2.45it/s, loss=0.0893, rank=0.0553, reg=0.0340]
train epoch 1/1:  18%|█▊        | 1916/10792 [12:59<1:00:29,  2.45it/s, loss=0.0995, rank=0.0455, reg=0.0540]
train epoch 1/1:  18%|█▊        | 1917/10792 [12:59<54:45,  2.70it/s, loss=0.0995, rank=0.0455, reg=0.0540]  
train epoch 1/1:  18%|█▊        | 1917/10792 [12:59<54:45,  2.70it/s, loss=0.1071, rank=0.0597, reg=0.0475]
train epoch 1/1:  18%|█▊        | 1918/10792 [12:59<55:57,  2.64it/s, loss=0.1071, rank=0.0597, reg=0.0475]
train epoch 1/1:  18%|█▊        | 1918/10792 [13:00<55:57,  2.64it/s, loss=0.0307, rank=0.0122, reg=0.0185]
train epoch 1/1:  18%|█▊        | 1919/10792 [13:00<1:18:37,  1.88it/s, loss=0.0307, rank=0.0122, reg=0.0185]
train epoch 1/1:  18%|█▊        | 1919/10792 [13:00<1:18:37,  1.88it/s, loss=0.1098, rank=0.0416, reg=0.0683]
train epoch 1/1:  18%|█▊        | 1920/10792 [13:00<1:09:20,  2.13it/s, loss=0.1098, rank=0.0416, reg=0.0683]
train epoch 1/1:  18%|█▊        | 1920/10792 [13:01<1:09:20,  2.13it/s, loss=0.0718, rank=0.0561, reg=0.0157]
train epoch 1/1:  18%|█▊        | 1921/10792 [13:01<1:02:33,  2.36it/s, loss=0.0718, rank=0.0561, reg=0.0157]
train epoch 1/1:  18%|█▊        | 1921/10792 [13:01<1:02:33,  2.36it/s, loss=0.1290, rank=0.0640, reg=0.0650]
train epoch 1/1:  18%|█▊        | 1922/10792 [13:01<54:48,  2.70it/s, loss=0.1290, rank=0.0640, reg=0.0650]  
train epoch 1/1:  18%|█▊        | 1922/10792 [13:01<54:48,  2.70it/s, loss=0.0799, rank=0.0585, reg=0.0214]
train epoch 1/1:  18%|█▊        | 1923/10792 [13:01<51:32,  2.87it/s, loss=0.0799, rank=0.0585, reg=0.0214]
train epoch 1/1:  18%|█▊        | 1923/10792 [13:01<51:32,  2.87it/s, loss=0.0733, rank=0.0211, reg=0.0522]
train epoch 1/1:  18%|█▊        | 1924/10792 [13:01<50:09,  2.95it/s, loss=0.0733, rank=0.0211, reg=0.0522]
train epoch 1/1:  18%|█▊        | 1924/10792 [13:02<50:09,  2.95it/s, loss=0.1214, rank=0.0719, reg=0.0495]
train epoch 1/1:  18%|█▊        | 1925/10792 [13:02<39:54,  3.70it/s, loss=0.1214, rank=0.0719, reg=0.0495]
train epoch 1/1:  18%|█▊        | 1925/10792 [13:02<39:54,  3.70it/s, loss=0.1482, rank=0.0335, reg=0.1147]
train epoch 1/1:  18%|█▊        | 1926/10792 [13:02<37:42,  3.92it/s, loss=0.1482, rank=0.0335, reg=0.1147]
train epoch 1/1:  18%|█▊        | 1926/10792 [13:02<37:42,  3.92it/s, loss=0.0504, rank=0.0158, reg=0.0345]
train epoch 1/1:  18%|█▊        | 1927/10792 [13:02<44:23,  3.33it/s, loss=0.0504, rank=0.0158, reg=0.0345]
train epoch 1/1:  18%|█▊        | 1927/10792 [13:03<44:23,  3.33it/s, loss=0.1199, rank=0.0760, reg=0.0440]
train epoch 1/1:  18%|█▊        | 1928/10792 [13:03<1:07:01,  2.20it/s, loss=0.1199, rank=0.0760, reg=0.0440]
train epoch 1/1:  18%|█▊        | 1928/10792 [13:03<1:07:01,  2.20it/s, loss=0.0832, rank=0.0627, reg=0.0205]
train epoch 1/1:  18%|█▊        | 1929/10792 [13:03<1:01:12,  2.41it/s, loss=0.0832, rank=0.0627, reg=0.0205]
train epoch 1/1:  18%|█▊        | 1929/10792 [13:04<1:01:12,  2.41it/s, loss=0.1085, rank=0.0568, reg=0.0517]
train epoch 1/1:  18%|█▊        | 1930/10792 [13:04<57:12,  2.58it/s, loss=0.1085, rank=0.0568, reg=0.0517]  
train epoch 1/1:  18%|█▊        | 1930/10792 [13:04<57:12,  2.58it/s, loss=0.0774, rank=0.0666, reg=0.0108]
train epoch 1/1:  18%|█▊        | 1931/10792 [13:04<53:08,  2.78it/s, loss=0.0774, rank=0.0666, reg=0.0108]
train epoch 1/1:  18%|█▊        | 1931/10792 [13:04<53:08,  2.78it/s, loss=0.0766, rank=0.0223, reg=0.0543]
train epoch 1/1:  18%|█▊        | 1932/10792 [13:04<1:01:01,  2.42it/s, loss=0.0766, rank=0.0223, reg=0.0543]
train epoch 1/1:  18%|█▊        | 1932/10792 [13:05<1:01:01,  2.42it/s, loss=0.0827, rank=0.0540, reg=0.0288]
train epoch 1/1:  18%|█▊        | 1933/10792 [13:05<52:55,  2.79it/s, loss=0.0827, rank=0.0540, reg=0.0288]  
train epoch 1/1:  18%|█▊        | 1933/10792 [13:05<52:55,  2.79it/s, loss=0.1112, rank=0.0706, reg=0.0406]
train epoch 1/1:  18%|█▊        | 1934/10792 [13:05<1:01:44,  2.39it/s, loss=0.1112, rank=0.0706, reg=0.0406]
train epoch 1/1:  18%|█▊        | 1934/10792 [13:06<1:01:44,  2.39it/s, loss=0.1152, rank=0.0733, reg=0.0418]
train epoch 1/1:  18%|█▊        | 1935/10792 [13:06<1:12:37,  2.03it/s, loss=0.1152, rank=0.0733, reg=0.0418]
train epoch 1/1:  18%|█▊        | 1935/10792 [13:06<1:12:37,  2.03it/s, loss=0.0728, rank=0.0399, reg=0.0329]
train epoch 1/1:  18%|█▊        | 1936/10792 [13:06<1:06:23,  2.22it/s, loss=0.0728, rank=0.0399, reg=0.0329]
train epoch 1/1:  18%|█▊        | 1936/10792 [13:07<1:06:23,  2.22it/s, loss=0.0597, rank=0.0512, reg=0.0085]
train epoch 1/1:  18%|█▊        | 1937/10792 [13:07<57:24,  2.57it/s, loss=0.0597, rank=0.0512, reg=0.0085]  
train epoch 1/1:  18%|█▊        | 1937/10792 [13:07<57:24,  2.57it/s, loss=0.0047, rank=0.0000, reg=0.0047]
train epoch 1/1:  18%|█▊        | 1938/10792 [13:07<1:13:34,  2.01it/s, loss=0.0047, rank=0.0000, reg=0.0047]
train epoch 1/1:  18%|█▊        | 1938/10792 [13:07<1:13:34,  2.01it/s, loss=0.0753, rank=0.0548, reg=0.0206]
train epoch 1/1:  18%|█▊        | 1939/10792 [13:07<1:00:09,  2.45it/s, loss=0.0753, rank=0.0548, reg=0.0206]
train epoch 1/1:  18%|█▊        | 1939/10792 [13:08<1:00:09,  2.45it/s, loss=0.0697, rank=0.0290, reg=0.0407]
train epoch 1/1:  18%|█▊        | 1940/10792 [13:08<56:44,  2.60it/s, loss=0.0697, rank=0.0290, reg=0.0407]  
train epoch 1/1:  18%|█▊        | 1940/10792 [13:08<56:44,  2.60it/s, loss=0.0990, rank=0.0563, reg=0.0428]
train epoch 1/1:  18%|█▊        | 1941/10792 [13:08<53:21,  2.77it/s, loss=0.0990, rank=0.0563, reg=0.0428]
train epoch 1/1:  18%|█▊        | 1941/10792 [13:08<53:21,  2.77it/s, loss=0.0970, rank=0.0741, reg=0.0229]
train epoch 1/1:  18%|█▊        | 1942/10792 [13:08<43:35,  3.38it/s, loss=0.0970, rank=0.0741, reg=0.0229]
train epoch 1/1:  18%|█▊        | 1942/10792 [13:08<43:35,  3.38it/s, loss=0.0893, rank=0.0356, reg=0.0537]
train epoch 1/1:  18%|█▊        | 1943/10792 [13:08<39:51,  3.70it/s, loss=0.0893, rank=0.0356, reg=0.0537]
train epoch 1/1:  18%|█▊        | 1943/10792 [13:09<39:51,  3.70it/s, loss=0.1412, rank=0.0476, reg=0.0936]
train epoch 1/1:  18%|█▊        | 1944/10792 [13:09<38:19,  3.85it/s, loss=0.1412, rank=0.0476, reg=0.0936]
train epoch 1/1:  18%|█▊        | 1944/10792 [13:09<38:19,  3.85it/s, loss=0.0462, rank=0.0326, reg=0.0135]
train epoch 1/1:  18%|█▊        | 1945/10792 [13:09<35:35,  4.14it/s, loss=0.0462, rank=0.0326, reg=0.0135]
train epoch 1/1:  18%|█▊        | 1945/10792 [13:10<35:35,  4.14it/s, loss=0.0736, rank=0.0442, reg=0.0294]
train epoch 1/1:  18%|█▊        | 1946/10792 [13:10<55:20,  2.66it/s, loss=0.0736, rank=0.0442, reg=0.0294]
train epoch 1/1:  18%|█▊        | 1946/10792 [13:10<55:20,  2.66it/s, loss=0.0581, rank=0.0390, reg=0.0190]
train epoch 1/1:  18%|█▊        | 1947/10792 [13:10<1:03:15,  2.33it/s, loss=0.0581, rank=0.0390, reg=0.0190]
train epoch 1/1:  18%|█▊        | 1947/10792 [13:11<1:03:15,  2.33it/s, loss=0.0784, rank=0.0465, reg=0.0319]
train epoch 1/1:  18%|█▊        | 1948/10792 [13:11<1:08:14,  2.16it/s, loss=0.0784, rank=0.0465, reg=0.0319]
train epoch 1/1:  18%|█▊        | 1948/10792 [13:11<1:08:14,  2.16it/s, loss=0.1253, rank=0.0491, reg=0.0762]
train epoch 1/1:  18%|█▊        | 1949/10792 [13:11<1:01:27,  2.40it/s, loss=0.1253, rank=0.0491, reg=0.0762]
train epoch 1/1:  18%|█▊        | 1949/10792 [13:12<1:01:27,  2.40it/s, loss=0.3441, rank=0.0600, reg=0.2841]
train epoch 1/1:  18%|█▊        | 1950/10792 [13:12<1:41:26,  1.45it/s, loss=0.3441, rank=0.0600, reg=0.2841]
train epoch 1/1:  18%|█▊        | 1950/10792 [13:13<1:41:26,  1.45it/s, loss=0.1119, rank=0.0258, reg=0.0861]
train epoch 1/1:  18%|█▊        | 1951/10792 [13:13<1:37:21,  1.51it/s, loss=0.1119, rank=0.0258, reg=0.0861]
train epoch 1/1:  18%|█▊        | 1951/10792 [13:14<1:37:21,  1.51it/s, loss=0.0798, rank=0.0411, reg=0.0387]
train epoch 1/1:  18%|█▊        | 1952/10792 [13:14<1:39:14,  1.48it/s, loss=0.0798, rank=0.0411, reg=0.0387]
train epoch 1/1:  18%|█▊        | 1952/10792 [13:14<1:39:14,  1.48it/s, loss=0.0485, rank=0.0249, reg=0.0236]
train epoch 1/1:  18%|█▊        | 1953/10792 [13:14<1:42:35,  1.44it/s, loss=0.0485, rank=0.0249, reg=0.0236]
train epoch 1/1:  18%|█▊        | 1953/10792 [13:15<1:42:35,  1.44it/s, loss=0.0863, rank=0.0673, reg=0.0190]
train epoch 1/1:  18%|█▊        | 1954/10792 [13:15<1:30:18,  1.63it/s, loss=0.0863, rank=0.0673, reg=0.0190]
train epoch 1/1:  18%|█▊        | 1954/10792 [13:15<1:30:18,  1.63it/s, loss=0.3189, rank=0.0306, reg=0.2883]
train epoch 1/1:  18%|█▊        | 1955/10792 [13:15<1:25:03,  1.73it/s, loss=0.3189, rank=0.0306, reg=0.2883]
train epoch 1/1:  18%|█▊        | 1955/10792 [13:16<1:25:03,  1.73it/s, loss=0.1826, rank=0.0641, reg=0.1185]
train epoch 1/1:  18%|█▊        | 1956/10792 [13:16<1:31:34,  1.61it/s, loss=0.1826, rank=0.0641, reg=0.1185]
train epoch 1/1:  18%|█▊        | 1956/10792 [13:16<1:31:34,  1.61it/s, loss=0.0505, rank=0.0168, reg=0.0338]
train epoch 1/1:  18%|█▊        | 1957/10792 [13:16<1:20:06,  1.84it/s, loss=0.0505, rank=0.0168, reg=0.0338]
train epoch 1/1:  18%|█▊        | 1957/10792 [13:17<1:20:06,  1.84it/s, loss=0.0542, rank=0.0341, reg=0.0201]
train epoch 1/1:  18%|█▊        | 1958/10792 [13:17<1:04:45,  2.27it/s, loss=0.0542, rank=0.0341, reg=0.0201]
train epoch 1/1:  18%|█▊        | 1958/10792 [13:17<1:04:45,  2.27it/s, loss=0.0639, rank=0.0374, reg=0.0265]
train epoch 1/1:  18%|█▊        | 1959/10792 [13:17<1:17:50,  1.89it/s, loss=0.0639, rank=0.0374, reg=0.0265]
train epoch 1/1:  18%|█▊        | 1959/10792 [13:18<1:17:50,  1.89it/s, loss=0.0752, rank=0.0134, reg=0.0618]
train epoch 1/1:  18%|█▊        | 1960/10792 [13:18<1:16:34,  1.92it/s, loss=0.0752, rank=0.0134, reg=0.0618]
train epoch 1/1:  18%|█▊        | 1960/10792 [13:18<1:16:34,  1.92it/s, loss=0.0896, rank=0.0479, reg=0.0416]
train epoch 1/1:  18%|█▊        | 1961/10792 [13:18<1:01:30,  2.39it/s, loss=0.0896, rank=0.0479, reg=0.0416]
train epoch 1/1:  18%|█▊        | 1961/10792 [13:18<1:01:30,  2.39it/s, loss=0.0735, rank=0.0329, reg=0.0406]
train epoch 1/1:  18%|█▊        | 1962/10792 [13:18<1:03:28,  2.32it/s, loss=0.0735, rank=0.0329, reg=0.0406]
train epoch 1/1:  18%|█▊        | 1962/10792 [13:19<1:03:28,  2.32it/s, loss=0.0430, rank=0.0119, reg=0.0311]
train epoch 1/1:  18%|█▊        | 1963/10792 [13:19<1:06:48,  2.20it/s, loss=0.0430, rank=0.0119, reg=0.0311]
train epoch 1/1:  18%|█▊        | 1963/10792 [13:19<1:06:48,  2.20it/s, loss=0.0808, rank=0.0371, reg=0.0436]
train epoch 1/1:  18%|█▊        | 1964/10792 [13:19<1:06:03,  2.23it/s, loss=0.0808, rank=0.0371, reg=0.0436]
train epoch 1/1:  18%|█▊        | 1964/10792 [13:20<1:06:03,  2.23it/s, loss=0.0418, rank=0.0238, reg=0.0180]
train epoch 1/1:  18%|█▊        | 1965/10792 [13:20<1:03:14,  2.33it/s, loss=0.0418, rank=0.0238, reg=0.0180]
train epoch 1/1:  18%|█▊        | 1965/10792 [13:20<1:03:14,  2.33it/s, loss=0.0868, rank=0.0643, reg=0.0226]
train epoch 1/1:  18%|█▊        | 1966/10792 [13:20<51:44,  2.84it/s, loss=0.0868, rank=0.0643, reg=0.0226]  
train epoch 1/1:  18%|█▊        | 1966/10792 [13:21<51:44,  2.84it/s, loss=0.1202, rank=0.0708, reg=0.0494]
train epoch 1/1:  18%|█▊        | 1967/10792 [13:21<1:11:30,  2.06it/s, loss=0.1202, rank=0.0708, reg=0.0494]
train epoch 1/1:  18%|█▊        | 1967/10792 [13:21<1:11:30,  2.06it/s, loss=0.1087, rank=0.0276, reg=0.0812]
train epoch 1/1:  18%|█▊        | 1968/10792 [13:21<1:08:33,  2.14it/s, loss=0.1087, rank=0.0276, reg=0.0812]
train epoch 1/1:  18%|█▊        | 1968/10792 [13:22<1:08:33,  2.14it/s, loss=0.0437, rank=0.0204, reg=0.0232]
train epoch 1/1:  18%|█▊        | 1969/10792 [13:22<1:12:15,  2.04it/s, loss=0.0437, rank=0.0204, reg=0.0232]
train epoch 1/1:  18%|█▊        | 1969/10792 [13:22<1:12:15,  2.04it/s, loss=0.0880, rank=0.0612, reg=0.0268]
train epoch 1/1:  18%|█▊        | 1970/10792 [13:22<1:04:06,  2.29it/s, loss=0.0880, rank=0.0612, reg=0.0268]
train epoch 1/1:  18%|█▊        | 1970/10792 [13:22<1:04:06,  2.29it/s, loss=0.0290, rank=0.0184, reg=0.0106]
train epoch 1/1:  18%|█▊        | 1971/10792 [13:22<58:46,  2.50it/s, loss=0.0290, rank=0.0184, reg=0.0106]  
train epoch 1/1:  18%|█▊        | 1971/10792 [13:22<58:46,  2.50it/s, loss=0.1076, rank=0.0920, reg=0.0155]
train epoch 1/1:  18%|█▊        | 1972/10792 [13:22<49:02,  3.00it/s, loss=0.1076, rank=0.0920, reg=0.0155]
train epoch 1/1:  18%|█▊        | 1972/10792 [13:23<49:02,  3.00it/s, loss=0.1218, rank=0.0720, reg=0.0498]
train epoch 1/1:  18%|█▊        | 1973/10792 [13:23<41:40,  3.53it/s, loss=0.1218, rank=0.0720, reg=0.0498]
train epoch 1/1:  18%|█▊        | 1973/10792 [13:23<41:40,  3.53it/s, loss=0.0983, rank=0.0419, reg=0.0564]
train epoch 1/1:  18%|█▊        | 1974/10792 [13:23<44:20,  3.31it/s, loss=0.0983, rank=0.0419, reg=0.0564]
train epoch 1/1:  18%|█▊        | 1974/10792 [13:23<44:20,  3.31it/s, loss=0.0824, rank=0.0671, reg=0.0153]
train epoch 1/1:  18%|█▊        | 1975/10792 [13:23<44:22,  3.31it/s, loss=0.0824, rank=0.0671, reg=0.0153]
train epoch 1/1:  18%|█▊        | 1975/10792 [13:24<44:22,  3.31it/s, loss=0.0826, rank=0.0645, reg=0.0181]
train epoch 1/1:  18%|█▊        | 1976/10792 [13:24<51:40,  2.84it/s, loss=0.0826, rank=0.0645, reg=0.0181]
train epoch 1/1:  18%|█▊        | 1976/10792 [13:24<51:40,  2.84it/s, loss=0.0867, rank=0.0493, reg=0.0374]
train epoch 1/1:  18%|█▊        | 1977/10792 [13:24<46:27,  3.16it/s, loss=0.0867, rank=0.0493, reg=0.0374]
train epoch 1/1:  18%|█▊        | 1977/10792 [13:25<46:27,  3.16it/s, loss=0.2121, rank=0.0590, reg=0.1531]
train epoch 1/1:  18%|█▊        | 1978/10792 [13:25<1:24:12,  1.74it/s, loss=0.2121, rank=0.0590, reg=0.1531]
train epoch 1/1:  18%|█▊        | 1978/10792 [13:26<1:24:12,  1.74it/s, loss=0.1117, rank=0.0429, reg=0.0689]
train epoch 1/1:  18%|█▊        | 1979/10792 [13:26<1:17:02,  1.91it/s, loss=0.1117, rank=0.0429, reg=0.0689]
train epoch 1/1:  18%|█▊        | 1979/10792 [13:26<1:17:02,  1.91it/s, loss=0.2140, rank=0.0608, reg=0.1532]
train epoch 1/1:  18%|█▊        | 1980/10792 [13:26<1:28:42,  1.66it/s, loss=0.2140, rank=0.0608, reg=0.1532]
train epoch 1/1:  18%|█▊        | 1980/10792 [13:27<1:28:42,  1.66it/s, loss=0.0655, rank=0.0519, reg=0.0137]
train epoch 1/1:  18%|█▊        | 1981/10792 [13:27<1:17:29,  1.90it/s, loss=0.0655, rank=0.0519, reg=0.0137]
train epoch 1/1:  18%|█▊        | 1981/10792 [13:27<1:17:29,  1.90it/s, loss=0.1365, rank=0.0816, reg=0.0549]
train epoch 1/1:  18%|█▊        | 1982/10792 [13:27<1:26:22,  1.70it/s, loss=0.1365, rank=0.0816, reg=0.0549]
train epoch 1/1:  18%|█▊        | 1982/10792 [13:28<1:26:22,  1.70it/s, loss=0.0686, rank=0.0299, reg=0.0387]
train epoch 1/1:  18%|█▊        | 1983/10792 [13:28<1:09:43,  2.11it/s, loss=0.0686, rank=0.0299, reg=0.0387]
train epoch 1/1:  18%|█▊        | 1983/10792 [13:29<1:09:43,  2.11it/s, loss=0.1880, rank=0.0560, reg=0.1319]
train epoch 1/1:  18%|█▊        | 1984/10792 [13:29<1:32:46,  1.58it/s, loss=0.1880, rank=0.0560, reg=0.1319]
train epoch 1/1:  18%|█▊        | 1984/10792 [13:29<1:32:46,  1.58it/s, loss=0.0862, rank=0.0582, reg=0.0280]
train epoch 1/1:  18%|█▊        | 1985/10792 [13:29<1:17:37,  1.89it/s, loss=0.0862, rank=0.0582, reg=0.0280]
train epoch 1/1:  18%|█▊        | 1985/10792 [13:30<1:17:37,  1.89it/s, loss=0.1363, rank=0.1051, reg=0.0312]
train epoch 1/1:  18%|█▊        | 1986/10792 [13:30<1:27:27,  1.68it/s, loss=0.1363, rank=0.1051, reg=0.0312]
train epoch 1/1:  18%|█▊        | 1986/10792 [13:30<1:27:27,  1.68it/s, loss=0.1229, rank=0.0678, reg=0.0552]
train epoch 1/1:  18%|█▊        | 1987/10792 [13:30<1:32:57,  1.58it/s, loss=0.1229, rank=0.0678, reg=0.0552]
train epoch 1/1:  18%|█▊        | 1987/10792 [13:31<1:32:57,  1.58it/s, loss=0.0218, rank=0.0127, reg=0.0091]
train epoch 1/1:  18%|█▊        | 1988/10792 [13:31<1:18:03,  1.88it/s, loss=0.0218, rank=0.0127, reg=0.0091]
train epoch 1/1:  18%|█▊        | 1988/10792 [13:31<1:18:03,  1.88it/s, loss=0.1106, rank=0.0422, reg=0.0684]
train epoch 1/1:  18%|█▊        | 1989/10792 [13:31<1:14:55,  1.96it/s, loss=0.1106, rank=0.0422, reg=0.0684]
train epoch 1/1:  18%|█▊        | 1989/10792 [13:31<1:14:55,  1.96it/s, loss=0.2199, rank=0.0016, reg=0.2183]
train epoch 1/1:  18%|█▊        | 1990/10792 [13:31<1:01:08,  2.40it/s, loss=0.2199, rank=0.0016, reg=0.2183]
train epoch 1/1:  18%|█▊        | 1990/10792 [13:32<1:01:08,  2.40it/s, loss=0.0403, rank=0.0297, reg=0.0106]
train epoch 1/1:  18%|█▊        | 1991/10792 [13:32<1:17:26,  1.89it/s, loss=0.0403, rank=0.0297, reg=0.0106]
train epoch 1/1:  18%|█▊        | 1991/10792 [13:33<1:17:26,  1.89it/s, loss=0.1049, rank=0.0175, reg=0.0875]
train epoch 1/1:  18%|█▊        | 1992/10792 [13:33<1:12:06,  2.03it/s, loss=0.1049, rank=0.0175, reg=0.0875]
train epoch 1/1:  18%|█▊        | 1992/10792 [13:33<1:12:06,  2.03it/s, loss=0.0263, rank=0.0091, reg=0.0172]
train epoch 1/1:  18%|█▊        | 1993/10792 [13:33<1:04:19,  2.28it/s, loss=0.0263, rank=0.0091, reg=0.0172]
train epoch 1/1:  18%|█▊        | 1993/10792 [13:33<1:04:19,  2.28it/s, loss=0.1218, rank=0.0152, reg=0.1066]
train epoch 1/1:  18%|█▊        | 1994/10792 [13:33<58:07,  2.52it/s, loss=0.1218, rank=0.0152, reg=0.1066]  
train epoch 1/1:  18%|█▊        | 1994/10792 [13:34<58:07,  2.52it/s, loss=0.0895, rank=0.0327, reg=0.0568]
train epoch 1/1:  18%|█▊        | 1995/10792 [13:34<1:01:26,  2.39it/s, loss=0.0895, rank=0.0327, reg=0.0568]
train epoch 1/1:  18%|█▊        | 1995/10792 [13:34<1:01:26,  2.39it/s, loss=0.0721, rank=0.0509, reg=0.0212]
train epoch 1/1:  18%|█▊        | 1996/10792 [13:34<1:02:56,  2.33it/s, loss=0.0721, rank=0.0509, reg=0.0212]
train epoch 1/1:  18%|█▊        | 1996/10792 [13:35<1:02:56,  2.33it/s, loss=0.0580, rank=0.0260, reg=0.0320]
train epoch 1/1:  19%|█▊        | 1997/10792 [13:35<1:13:52,  1.98it/s, loss=0.0580, rank=0.0260, reg=0.0320]
train epoch 1/1:  19%|█▊        | 1997/10792 [13:35<1:13:52,  1.98it/s, loss=0.0873, rank=0.0431, reg=0.0442]
train epoch 1/1:  19%|█▊        | 1998/10792 [13:35<1:09:32,  2.11it/s, loss=0.0873, rank=0.0431, reg=0.0442]
train epoch 1/1:  19%|█▊        | 1998/10792 [13:35<1:09:32,  2.11it/s, loss=0.1000, rank=0.0571, reg=0.0429]
train epoch 1/1:  19%|█▊        | 1999/10792 [13:35<55:19,  2.65it/s, loss=0.1000, rank=0.0571, reg=0.0429]  
train epoch 1/1:  19%|█▊        | 1999/10792 [13:36<55:19,  2.65it/s, loss=0.1433, rank=0.0971, reg=0.0462]
train epoch 1/1:  19%|█▊        | 2000/10792 [13:36<48:30,  3.02it/s, loss=0.1433, rank=0.0971, reg=0.0462]
train epoch 1/1:  19%|█▊        | 2000/10792 [13:36<48:30,  3.02it/s, loss=0.1395, rank=0.0794, reg=0.0601]
train epoch 1/1:  19%|█▊        | 2001/10792 [13:36<48:15,  3.04it/s, loss=0.1395, rank=0.0794, reg=0.0601]
train epoch 1/1:  19%|█▊        | 2001/10792 [13:37<48:15,  3.04it/s, loss=0.0175, rank=0.0046, reg=0.0129]
train epoch 1/1:  19%|█▊        | 2002/10792 [13:37<1:09:25,  2.11it/s, loss=0.0175, rank=0.0046, reg=0.0129]
train epoch 1/1:  19%|█▊        | 2002/10792 [13:37<1:09:25,  2.11it/s, loss=0.0932, rank=0.0557, reg=0.0374]
train epoch 1/1:  19%|█▊        | 2003/10792 [13:37<1:14:06,  1.98it/s, loss=0.0932, rank=0.0557, reg=0.0374]
train epoch 1/1:  19%|█▊        | 2003/10792 [13:38<1:14:06,  1.98it/s, loss=0.0331, rank=0.0252, reg=0.0080]
train epoch 1/1:  19%|█▊        | 2004/10792 [13:38<1:02:02,  2.36it/s, loss=0.0331, rank=0.0252, reg=0.0080]
train epoch 1/1:  19%|█▊        | 2004/10792 [13:38<1:02:02,  2.36it/s, loss=0.0476, rank=0.0307, reg=0.0170]
train epoch 1/1:  19%|█▊        | 2005/10792 [13:38<1:18:46,  1.86it/s, loss=0.0476, rank=0.0307, reg=0.0170]
train epoch 1/1:  19%|█▊        | 2005/10792 [13:39<1:18:46,  1.86it/s, loss=0.0518, rank=0.0224, reg=0.0294]
train epoch 1/1:  19%|█▊        | 2006/10792 [13:39<1:03:39,  2.30it/s, loss=0.0518, rank=0.0224, reg=0.0294]
train epoch 1/1:  19%|█▊        | 2006/10792 [13:39<1:03:39,  2.30it/s, loss=0.0768, rank=0.0648, reg=0.0120]
train epoch 1/1:  19%|█▊        | 2007/10792 [13:39<53:36,  2.73it/s, loss=0.0768, rank=0.0648, reg=0.0120]  
train epoch 1/1:  19%|█▊        | 2007/10792 [13:39<53:36,  2.73it/s, loss=0.0558, rank=0.0226, reg=0.0332]
train epoch 1/1:  19%|█▊        | 2008/10792 [13:39<58:06,  2.52it/s, loss=0.0558, rank=0.0226, reg=0.0332]
train epoch 1/1:  19%|█▊        | 2008/10792 [13:40<58:06,  2.52it/s, loss=0.1227, rank=0.0672, reg=0.0555]
train epoch 1/1:  19%|█▊        | 2009/10792 [13:40<1:37:02,  1.51it/s, loss=0.1227, rank=0.0672, reg=0.0555]
train epoch 1/1:  19%|█▊        | 2009/10792 [13:41<1:37:02,  1.51it/s, loss=0.1345, rank=0.0308, reg=0.1038]
train epoch 1/1:  19%|█▊        | 2010/10792 [13:41<1:29:05,  1.64it/s, loss=0.1345, rank=0.0308, reg=0.1038]
train epoch 1/1:  19%|█▊        | 2010/10792 [13:41<1:29:05,  1.64it/s, loss=0.0850, rank=0.0493, reg=0.0357]
train epoch 1/1:  19%|█▊        | 2011/10792 [13:41<1:14:49,  1.96it/s, loss=0.0850, rank=0.0493, reg=0.0357]
train epoch 1/1:  19%|█▊        | 2011/10792 [13:42<1:14:49,  1.96it/s, loss=0.0903, rank=0.0573, reg=0.0330]
train epoch 1/1:  19%|█▊        | 2012/10792 [13:42<1:03:54,  2.29it/s, loss=0.0903, rank=0.0573, reg=0.0330]
train epoch 1/1:  19%|█▊        | 2012/10792 [13:42<1:03:54,  2.29it/s, loss=0.3388, rank=0.0521, reg=0.2867]
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train epoch 1/1:  19%|█▊        | 2013/10792 [13:42<59:21,  2.47it/s, loss=0.0606, rank=0.0519, reg=0.0087]
train epoch 1/1:  19%|█▊        | 2014/10792 [13:42<53:38,  2.73it/s, loss=0.0606, rank=0.0519, reg=0.0087]
train epoch 1/1:  19%|█▊        | 2014/10792 [13:42<53:38,  2.73it/s, loss=0.0708, rank=0.0560, reg=0.0148]
train epoch 1/1:  19%|█▊        | 2015/10792 [13:42<48:52,  2.99it/s, loss=0.0708, rank=0.0560, reg=0.0148]
train epoch 1/1:  19%|█▊        | 2015/10792 [13:43<48:52,  2.99it/s, loss=0.0946, rank=0.0598, reg=0.0348]
train epoch 1/1:  19%|█▊        | 2016/10792 [13:43<41:16,  3.54it/s, loss=0.0946, rank=0.0598, reg=0.0348]
train epoch 1/1:  19%|█▊        | 2016/10792 [13:43<41:16,  3.54it/s, loss=0.0537, rank=0.0460, reg=0.0077]
train epoch 1/1:  19%|█▊        | 2017/10792 [13:43<34:38,  4.22it/s, loss=0.0537, rank=0.0460, reg=0.0077]
train epoch 1/1:  19%|█▊        | 2017/10792 [13:44<34:38,  4.22it/s, loss=0.0642, rank=0.0561, reg=0.0080]
train epoch 1/1:  19%|█▊        | 2018/10792 [13:44<1:10:53,  2.06it/s, loss=0.0642, rank=0.0561, reg=0.0080]
train epoch 1/1:  19%|█▊        | 2018/10792 [13:44<1:10:53,  2.06it/s, loss=0.0669, rank=0.0556, reg=0.0113]
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train epoch 1/1:  19%|█▊        | 2020/10792 [13:45<1:24:53,  1.72it/s, loss=0.1194, rank=0.0995, reg=0.0200]
train epoch 1/1:  19%|█▊        | 2021/10792 [13:45<1:12:39,  2.01it/s, loss=0.1194, rank=0.0995, reg=0.0200]
train epoch 1/1:  19%|█▊        | 2021/10792 [13:46<1:12:39,  2.01it/s, loss=0.0586, rank=0.0432, reg=0.0154]
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train epoch 1/1:  19%|█▉        | 2030/10792 [13:49<58:19,  2.50it/s, loss=0.1496, rank=0.0813, reg=0.0684]
train epoch 1/1:  19%|█▉        | 2031/10792 [13:49<45:50,  3.19it/s, loss=0.1496, rank=0.0813, reg=0.0684]
train epoch 1/1:  19%|█▉        | 2031/10792 [13:50<45:50,  3.19it/s, loss=0.2168, rank=0.0894, reg=0.1274]
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train epoch 1/1:  19%|█▉        | 2032/10792 [13:50<37:49,  3.86it/s, loss=0.1225, rank=0.0926, reg=0.0299]
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train epoch 1/1:  19%|█▉        | 2033/10792 [13:50<38:39,  3.78it/s, loss=0.0878, rank=0.0576, reg=0.0302]
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train epoch 1/1:  19%|█▉        | 2041/10792 [13:53<34:49,  4.19it/s, loss=0.0605, rank=0.0265, reg=0.0341]
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train epoch 1/1:  19%|█▉        | 2042/10792 [13:53<51:28,  2.83it/s, loss=0.1497, rank=0.0629, reg=0.0868]
train epoch 1/1:  19%|█▉        | 2043/10792 [13:53<53:56,  2.70it/s, loss=0.1497, rank=0.0629, reg=0.0868]
train epoch 1/1:  19%|█▉        | 2043/10792 [13:53<53:56,  2.70it/s, loss=0.0252, rank=0.0133, reg=0.0119]
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train epoch 1/1:  19%|█▉        | 2044/10792 [13:55<46:47,  3.12it/s, loss=0.0890, rank=0.0364, reg=0.0526]
train epoch 1/1:  19%|█▉        | 2045/10792 [13:55<1:19:04,  1.84it/s, loss=0.0890, rank=0.0364, reg=0.0526]
train epoch 1/1:  19%|█▉        | 2045/10792 [13:55<1:19:04,  1.84it/s, loss=0.1110, rank=0.0745, reg=0.0365]
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train epoch 1/1:  19%|█▉        | 2047/10792 [13:56<59:30,  2.45it/s, loss=0.0933, rank=0.0290, reg=0.0643]
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train epoch 1/1:  19%|█▉        | 2048/10792 [13:56<1:03:20,  2.30it/s, loss=0.0899, rank=0.0625, reg=0.0274]
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train epoch 1/1:  19%|█▉        | 2049/10792 [13:56<54:44,  2.66it/s, loss=0.0674, rank=0.0446, reg=0.0228]
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train epoch 1/1:  19%|█▉        | 2050/10792 [13:57<53:00,  2.75it/s, loss=0.0615, rank=0.0397, reg=0.0218]
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train epoch 1/1:  19%|█▉        | 2051/10792 [13:57<54:24,  2.68it/s, loss=0.1347, rank=0.0603, reg=0.0744]
train epoch 1/1:  19%|█▉        | 2052/10792 [13:57<45:42,  3.19it/s, loss=0.1347, rank=0.0603, reg=0.0744]
train epoch 1/1:  19%|█▉        | 2052/10792 [13:57<45:42,  3.19it/s, loss=0.1593, rank=0.0994, reg=0.0599]
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train epoch 1/1:  19%|█▉        | 2053/10792 [13:58<46:44,  3.12it/s, loss=0.1614, rank=0.0389, reg=0.1225]
train epoch 1/1:  19%|█▉        | 2054/10792 [13:58<1:04:53,  2.24it/s, loss=0.1614, rank=0.0389, reg=0.1225]
train epoch 1/1:  19%|█▉        | 2054/10792 [13:58<1:04:53,  2.24it/s, loss=0.0614, rank=0.0433, reg=0.0182]
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train epoch 1/1:  19%|█▉        | 2055/10792 [13:58<57:06,  2.55it/s, loss=0.0397, rank=0.0284, reg=0.0113]
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train epoch 1/1:  19%|█▉        | 2056/10792 [13:59<51:41,  2.82it/s, loss=0.0677, rank=0.0249, reg=0.0428]
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train epoch 1/1:  19%|█▉        | 2057/10792 [14:00<1:11:57,  2.02it/s, loss=0.0585, rank=0.0174, reg=0.0411]
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train epoch 1/1:  19%|█▉        | 2059/10792 [14:01<1:26:28,  1.68it/s, loss=0.1076, rank=0.0824, reg=0.0251]
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train epoch 1/1:  19%|█▉        | 2060/10792 [14:01<1:31:06,  1.60it/s, loss=0.0915, rank=0.0552, reg=0.0363]
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train epoch 1/1:  19%|█▉        | 2061/10792 [14:02<1:10:23,  2.07it/s, loss=0.1100, rank=0.0801, reg=0.0300]
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train epoch 1/1:  19%|█▉        | 2063/10792 [14:03<52:26,  2.77it/s, loss=0.1480, rank=0.1155, reg=0.0325]
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train epoch 1/1:  19%|█▉        | 2064/10792 [14:03<1:10:50,  2.05it/s, loss=0.0799, rank=0.0449, reg=0.0350]
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train epoch 1/1:  19%|█▉        | 2068/10792 [14:05<58:37,  2.48it/s, loss=0.0965, rank=0.0178, reg=0.0787]
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train epoch 1/1:  19%|█▉        | 2070/10792 [14:05<54:49,  2.65it/s, loss=0.1345, rank=0.0601, reg=0.0744]
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train epoch 1/1:  20%|█▉        | 2109/10792 [14:21<57:26,  2.52it/s, loss=0.0788, rank=0.0586, reg=0.0202]
train epoch 1/1:  20%|█▉        | 2110/10792 [14:21<1:01:26,  2.35it/s, loss=0.0788, rank=0.0586, reg=0.0202]
train epoch 1/1:  20%|█▉        | 2110/10792 [14:22<1:01:26,  2.35it/s, loss=0.0844, rank=0.0789, reg=0.0054]
train epoch 1/1:  20%|█▉        | 2111/10792 [14:22<1:04:51,  2.23it/s, loss=0.0844, rank=0.0789, reg=0.0054]
train epoch 1/1:  20%|█▉        | 2111/10792 [14:22<1:04:51,  2.23it/s, loss=0.0451, rank=0.0247, reg=0.0204]
train epoch 1/1:  20%|█▉        | 2112/10792 [14:22<1:13:17,  1.97it/s, loss=0.0451, rank=0.0247, reg=0.0204]
train epoch 1/1:  20%|█▉        | 2112/10792 [14:23<1:13:17,  1.97it/s, loss=0.0371, rank=0.0224, reg=0.0147]
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train epoch 1/1:  20%|█▉        | 2117/10792 [14:25<56:42,  2.55it/s, loss=0.0637, rank=0.0436, reg=0.0200]
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train epoch 1/1:  20%|█▉        | 2118/10792 [14:25<52:59,  2.73it/s, loss=0.1594, rank=0.0566, reg=0.1028]
train epoch 1/1:  20%|█▉        | 2119/10792 [14:25<51:37,  2.80it/s, loss=0.1594, rank=0.0566, reg=0.1028]
train epoch 1/1:  20%|█▉        | 2119/10792 [14:25<51:37,  2.80it/s, loss=0.0557, rank=0.0494, reg=0.0063]
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train epoch 1/1:  20%|█▉        | 2120/10792 [14:26<1:01:39,  2.34it/s, loss=0.1236, rank=0.0870, reg=0.0366]
train epoch 1/1:  20%|█▉        | 2121/10792 [14:26<1:19:31,  1.82it/s, loss=0.1236, rank=0.0870, reg=0.0366]
train epoch 1/1:  20%|█▉        | 2121/10792 [14:27<1:19:31,  1.82it/s, loss=0.1350, rank=0.1122, reg=0.0228]
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train epoch 1/1:  20%|█▉        | 2131/10792 [14:30<46:14,  3.12it/s, loss=0.0472, rank=0.0161, reg=0.0310]
train epoch 1/1:  20%|█▉        | 2131/10792 [14:31<46:14,  3.12it/s, loss=0.0335, rank=0.0172, reg=0.0163]
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train epoch 1/1:  20%|█▉        | 2132/10792 [14:31<50:25,  2.86it/s, loss=0.1024, rank=0.0805, reg=0.0219]
train epoch 1/1:  20%|█▉        | 2133/10792 [14:31<43:05,  3.35it/s, loss=0.1024, rank=0.0805, reg=0.0219]
train epoch 1/1:  20%|█▉        | 2133/10792 [14:31<43:05,  3.35it/s, loss=0.0858, rank=0.0434, reg=0.0424]
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train epoch 1/1:  20%|█▉        | 2134/10792 [14:31<37:06,  3.89it/s, loss=0.0249, rank=0.0097, reg=0.0152]
train epoch 1/1:  20%|█▉        | 2135/10792 [14:31<37:32,  3.84it/s, loss=0.0249, rank=0.0097, reg=0.0152]
train epoch 1/1:  20%|█▉        | 2135/10792 [14:32<37:32,  3.84it/s, loss=0.0760, rank=0.0415, reg=0.0344]
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train epoch 1/1:  20%|█▉        | 2140/10792 [14:34<52:10,  2.76it/s, loss=0.0695, rank=0.0601, reg=0.0094]
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train epoch 1/1:  20%|█▉        | 2145/10792 [14:36<52:14,  2.76it/s, loss=0.1284, rank=0.0408, reg=0.0876]
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train epoch 1/1:  20%|█▉        | 2146/10792 [14:36<53:50,  2.68it/s, loss=0.0991, rank=0.0230, reg=0.0761]
train epoch 1/1:  20%|█▉        | 2146/10792 [14:37<53:50,  2.68it/s, loss=0.2306, rank=0.0736, reg=0.1570]
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train epoch 1/1:  20%|██        | 2192/10792 [14:56<46:29,  3.08it/s, loss=0.1170, rank=0.0466, reg=0.0704]
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train epoch 1/1:  21%|██        | 2274/10792 [15:30<58:57,  2.41it/s, loss=0.0898, rank=0.0412, reg=0.0486]
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train epoch 1/1:  22%|██▏       | 2388/10792 [16:16<44:58,  3.11it/s, loss=0.1384, rank=0.0369, reg=0.1014]
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train epoch 1/1:  22%|██▏       | 2393/10792 [16:18<42:23,  3.30it/s, loss=0.0988, rank=0.0442, reg=0.0546]
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train epoch 1/1:  22%|██▏       | 2409/10792 [16:24<48:28,  2.88it/s, loss=0.1120, rank=0.0565, reg=0.0555]
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train epoch 1/1:  23%|██▎       | 2444/10792 [16:38<1:18:15,  1.78it/s, loss=0.0477, rank=0.0254, reg=0.0223]
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train epoch 1/1:  23%|██▎       | 2453/10792 [16:41<58:50,  2.36it/s, loss=0.1173, rank=0.0373, reg=0.0800]
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train epoch 1/1:  23%|██▎       | 2454/10792 [16:42<1:05:37,  2.12it/s, loss=0.0399, rank=0.0201, reg=0.0198]
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train epoch 1/1:  23%|██▎       | 2457/10792 [16:43<1:02:58,  2.21it/s, loss=0.0257, rank=0.0136, reg=0.0121]
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train epoch 1/1:  23%|██▎       | 2461/10792 [16:44<50:02,  2.77it/s, loss=0.1056, rank=0.0294, reg=0.0762]
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train epoch 1/1:  23%|██▎       | 2463/10792 [16:45<39:23,  3.52it/s, loss=0.1163, rank=0.0519, reg=0.0644]
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train epoch 1/1:  23%|██▎       | 2472/10792 [16:49<1:07:12,  2.06it/s, loss=0.1143, rank=0.0689, reg=0.0454]
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train epoch 1/1:  24%|██▍       | 2591/10792 [17:34<45:39,  2.99it/s, loss=0.0705, rank=0.0282, reg=0.0423]
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train epoch 1/1:  24%|██▍       | 2594/10792 [17:35<1:04:20,  2.12it/s, loss=0.0797, rank=0.0675, reg=0.0121]
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train epoch 1/1:  24%|██▍       | 2596/10792 [17:36<48:34,  2.81it/s, loss=0.0692, rank=0.0566, reg=0.0126]
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train epoch 1/1:  24%|██▍       | 2600/10792 [17:37<47:25,  2.88it/s, loss=0.1470, rank=0.0592, reg=0.0878]
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train epoch 1/1:  24%|██▍       | 2609/10792 [17:41<1:09:51,  1.95it/s, loss=0.1482, rank=0.1025, reg=0.0457]
train epoch 1/1:  24%|██▍       | 2609/10792 [17:41<1:09:51,  1.95it/s, loss=0.1582, rank=0.0826, reg=0.0756]
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train epoch 1/1:  24%|██▍       | 2643/10792 [17:58<1:06:14,  2.05it/s, loss=0.3141, rank=0.0385, reg=0.2757]
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train epoch 1/1:  26%|██▋       | 2840/10792 [19:19<32:34,  4.07it/s, loss=0.0691, rank=0.0238, reg=0.0454]
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train epoch 1/1:  26%|██▋       | 2841/10792 [19:19<41:19,  3.21it/s, loss=0.1107, rank=0.0475, reg=0.0632]
train epoch 1/1:  26%|██▋       | 2842/10792 [19:19<36:42,  3.61it/s, loss=0.1107, rank=0.0475, reg=0.0632]
train epoch 1/1:  26%|██▋       | 2842/10792 [19:20<36:42,  3.61it/s, loss=0.1578, rank=0.0673, reg=0.0905]
train epoch 1/1:  26%|██▋       | 2843/10792 [19:20<36:00,  3.68it/s, loss=0.1578, rank=0.0673, reg=0.0905]
train epoch 1/1:  26%|██▋       | 2843/10792 [19:20<36:00,  3.68it/s, loss=0.0909, rank=0.0561, reg=0.0348]
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train epoch 1/1:  26%|██▋       | 2844/10792 [19:20<41:09,  3.22it/s, loss=0.1257, rank=0.0398, reg=0.0859]
train epoch 1/1:  26%|██▋       | 2845/10792 [19:20<42:08,  3.14it/s, loss=0.1257, rank=0.0398, reg=0.0859]
train epoch 1/1:  26%|██▋       | 2845/10792 [19:21<42:08,  3.14it/s, loss=0.1087, rank=0.0738, reg=0.0349]
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train epoch 1/1:  26%|██▋       | 2846/10792 [19:21<35:44,  3.71it/s, loss=0.0411, rank=0.0074, reg=0.0337]
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train epoch 1/1:  26%|██▋       | 2847/10792 [19:21<32:05,  4.13it/s, loss=0.0317, rank=0.0121, reg=0.0196]
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train epoch 1/1:  26%|██▋       | 2848/10792 [19:21<32:02,  4.13it/s, loss=0.1134, rank=0.0746, reg=0.0388]
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train epoch 1/1:  26%|██▋       | 2849/10792 [19:21<29:26,  4.50it/s, loss=0.1081, rank=0.0952, reg=0.0130]
train epoch 1/1:  26%|██▋       | 2850/10792 [19:21<26:28,  5.00it/s, loss=0.1081, rank=0.0952, reg=0.0130]
train epoch 1/1:  26%|██▋       | 2850/10792 [19:22<26:28,  5.00it/s, loss=0.0344, rank=0.0000, reg=0.0344]
train epoch 1/1:  26%|██▋       | 2851/10792 [19:22<30:34,  4.33it/s, loss=0.0344, rank=0.0000, reg=0.0344]
train epoch 1/1:  26%|██▋       | 2851/10792 [19:22<30:34,  4.33it/s, loss=0.0694, rank=0.0350, reg=0.0344]
train epoch 1/1:  26%|██▋       | 2852/10792 [19:22<52:40,  2.51it/s, loss=0.0694, rank=0.0350, reg=0.0344]
train epoch 1/1:  26%|██▋       | 2852/10792 [19:23<52:40,  2.51it/s, loss=0.0604, rank=0.0273, reg=0.0330]
train epoch 1/1:  26%|██▋       | 2853/10792 [19:23<1:04:43,  2.04it/s, loss=0.0604, rank=0.0273, reg=0.0330]
train epoch 1/1:  26%|██▋       | 2853/10792 [19:24<1:04:43,  2.04it/s, loss=0.0738, rank=0.0354, reg=0.0384]
train epoch 1/1:  26%|██▋       | 2854/10792 [19:24<1:00:44,  2.18it/s, loss=0.0738, rank=0.0354, reg=0.0384]
train epoch 1/1:  26%|██▋       | 2854/10792 [19:24<1:00:44,  2.18it/s, loss=0.0579, rank=0.0283, reg=0.0297]
train epoch 1/1:  26%|██▋       | 2855/10792 [19:24<55:21,  2.39it/s, loss=0.0579, rank=0.0283, reg=0.0297]  
train epoch 1/1:  26%|██▋       | 2855/10792 [19:24<55:21,  2.39it/s, loss=0.1023, rank=0.0346, reg=0.0677]
train epoch 1/1:  26%|██▋       | 2856/10792 [19:24<56:32,  2.34it/s, loss=0.1023, rank=0.0346, reg=0.0677]
train epoch 1/1:  26%|██▋       | 2856/10792 [19:25<56:32,  2.34it/s, loss=0.1154, rank=0.0671, reg=0.0483]
train epoch 1/1:  26%|██▋       | 2857/10792 [19:25<51:41,  2.56it/s, loss=0.1154, rank=0.0671, reg=0.0483]
train epoch 1/1:  26%|██▋       | 2857/10792 [19:25<51:41,  2.56it/s, loss=0.0665, rank=0.0435, reg=0.0230]
train epoch 1/1:  26%|██▋       | 2858/10792 [19:25<53:29,  2.47it/s, loss=0.0665, rank=0.0435, reg=0.0230]
train epoch 1/1:  26%|██▋       | 2858/10792 [19:26<53:29,  2.47it/s, loss=0.0362, rank=0.0165, reg=0.0197]
train epoch 1/1:  26%|██▋       | 2859/10792 [19:26<57:38,  2.29it/s, loss=0.0362, rank=0.0165, reg=0.0197]
train epoch 1/1:  26%|██▋       | 2859/10792 [19:26<57:38,  2.29it/s, loss=0.0553, rank=0.0376, reg=0.0177]
train epoch 1/1:  27%|██▋       | 2860/10792 [19:26<46:07,  2.87it/s, loss=0.0553, rank=0.0376, reg=0.0177]
train epoch 1/1:  27%|██▋       | 2860/10792 [19:26<46:07,  2.87it/s, loss=0.1501, rank=0.0673, reg=0.0828]
train epoch 1/1:  27%|██▋       | 2861/10792 [19:26<40:39,  3.25it/s, loss=0.1501, rank=0.0673, reg=0.0828]
train epoch 1/1:  27%|██▋       | 2861/10792 [19:27<40:39,  3.25it/s, loss=0.0489, rank=0.0091, reg=0.0397]
train epoch 1/1:  27%|██▋       | 2862/10792 [19:27<53:49,  2.46it/s, loss=0.0489, rank=0.0091, reg=0.0397]
train epoch 1/1:  27%|██▋       | 2862/10792 [19:27<53:49,  2.46it/s, loss=0.1193, rank=0.0546, reg=0.0647]
train epoch 1/1:  27%|██▋       | 2863/10792 [19:27<46:14,  2.86it/s, loss=0.1193, rank=0.0546, reg=0.0647]
train epoch 1/1:  27%|██▋       | 2863/10792 [19:27<46:14,  2.86it/s, loss=0.0412, rank=0.0203, reg=0.0210]
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train epoch 1/1:  27%|██▋       | 2864/10792 [19:28<53:42,  2.46it/s, loss=0.1075, rank=0.0752, reg=0.0323]
train epoch 1/1:  27%|██▋       | 2865/10792 [19:28<47:31,  2.78it/s, loss=0.1075, rank=0.0752, reg=0.0323]
train epoch 1/1:  27%|██▋       | 2865/10792 [19:28<47:31,  2.78it/s, loss=0.0647, rank=0.0218, reg=0.0428]
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train epoch 1/1:  27%|██▋       | 2866/10792 [19:28<44:02,  3.00it/s, loss=0.0703, rank=0.0350, reg=0.0353]
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train epoch 1/1:  27%|██▋       | 2867/10792 [19:29<39:17,  3.36it/s, loss=0.1179, rank=0.0242, reg=0.0937]
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train epoch 1/1:  27%|██▋       | 2868/10792 [19:29<1:05:02,  2.03it/s, loss=0.1172, rank=0.0719, reg=0.0453]
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train epoch 1/1:  27%|██▋       | 2869/10792 [19:30<53:51,  2.45it/s, loss=0.1449, rank=0.0792, reg=0.0657]
train epoch 1/1:  27%|██▋       | 2870/10792 [19:30<47:58,  2.75it/s, loss=0.1449, rank=0.0792, reg=0.0657]
train epoch 1/1:  27%|██▋       | 2870/10792 [19:30<47:58,  2.75it/s, loss=0.0431, rank=0.0266, reg=0.0165]
train epoch 1/1:  27%|██▋       | 2871/10792 [19:30<39:35,  3.33it/s, loss=0.0431, rank=0.0266, reg=0.0165]
train epoch 1/1:  27%|██▋       | 2871/10792 [19:30<39:35,  3.33it/s, loss=0.0726, rank=0.0272, reg=0.0454]
train epoch 1/1:  27%|██▋       | 2872/10792 [19:30<43:22,  3.04it/s, loss=0.0726, rank=0.0272, reg=0.0454]
train epoch 1/1:  27%|██▋       | 2872/10792 [19:30<43:22,  3.04it/s, loss=0.0965, rank=0.0377, reg=0.0588]
train epoch 1/1:  27%|██▋       | 2873/10792 [19:30<40:31,  3.26it/s, loss=0.0965, rank=0.0377, reg=0.0588]
train epoch 1/1:  27%|██▋       | 2873/10792 [19:30<40:31,  3.26it/s, loss=0.0911, rank=0.0473, reg=0.0437]
train epoch 1/1:  27%|██▋       | 2874/10792 [19:30<35:33,  3.71it/s, loss=0.0911, rank=0.0473, reg=0.0437]
train epoch 1/1:  27%|██▋       | 2874/10792 [19:31<35:33,  3.71it/s, loss=0.0783, rank=0.0504, reg=0.0278]
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train epoch 1/1:  27%|██▋       | 2875/10792 [19:31<35:10,  3.75it/s, loss=0.0886, rank=0.0468, reg=0.0418]
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train epoch 1/1:  27%|██▋       | 2882/10792 [19:33<54:28,  2.42it/s, loss=0.0894, rank=0.0820, reg=0.0074]
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train epoch 1/1:  27%|██▋       | 2885/10792 [19:35<52:42,  2.50it/s, loss=0.0793, rank=0.0723, reg=0.0070]
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train epoch 1/1:  27%|██▋       | 2891/10792 [19:36<45:00,  2.93it/s, loss=0.1128, rank=0.0822, reg=0.0306]
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train epoch 1/1:  27%|██▋       | 2895/10792 [19:38<45:00,  2.92it/s, loss=0.1253, rank=0.0609, reg=0.0643]
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train epoch 1/1:  27%|██▋       | 2896/10792 [19:38<36:18,  3.62it/s, loss=0.1051, rank=0.0717, reg=0.0334]
train epoch 1/1:  27%|██▋       | 2897/10792 [19:38<30:10,  4.36it/s, loss=0.1051, rank=0.0717, reg=0.0334]
train epoch 1/1:  27%|██▋       | 2897/10792 [19:38<30:10,  4.36it/s, loss=0.0482, rank=0.0320, reg=0.0162]
train epoch 1/1:  27%|██▋       | 2898/10792 [19:38<46:40,  2.82it/s, loss=0.0482, rank=0.0320, reg=0.0162]
train epoch 1/1:  27%|██▋       | 2898/10792 [19:39<46:40,  2.82it/s, loss=0.0866, rank=0.0603, reg=0.0263]
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train epoch 1/1:  27%|██▋       | 2899/10792 [19:40<50:35,  2.60it/s, loss=0.0775, rank=0.0536, reg=0.0238]
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train epoch 1/1:  27%|██▋       | 2916/10792 [19:48<52:37,  2.49it/s, loss=0.1701, rank=0.0397, reg=0.1304]
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train epoch 1/1:  27%|██▋       | 2918/10792 [19:49<34:02,  3.85it/s, loss=0.0443, rank=0.0223, reg=0.0220]
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train epoch 1/1:  27%|██▋       | 2923/10792 [19:50<26:34,  4.93it/s, loss=0.1744, rank=0.0632, reg=0.1111]
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train epoch 1/1:  27%|██▋       | 2924/10792 [19:50<29:30,  4.45it/s, loss=0.1007, rank=0.0233, reg=0.0774]
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train epoch 1/1:  27%|██▋       | 2925/10792 [19:51<34:26,  3.81it/s, loss=0.1209, rank=0.0424, reg=0.0784]
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train epoch 1/1:  27%|██▋       | 2926/10792 [19:51<58:37,  2.24it/s, loss=0.0720, rank=0.0390, reg=0.0330]
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train epoch 1/1:  27%|██▋       | 2927/10792 [19:52<50:58,  2.57it/s, loss=0.0971, rank=0.0743, reg=0.0228]
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train epoch 1/1:  27%|██▋       | 2928/10792 [19:53<1:06:40,  1.97it/s, loss=0.0893, rank=0.0699, reg=0.0194]
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train epoch 1/1:  27%|██▋       | 2931/10792 [19:54<57:53,  2.26it/s, loss=0.1714, rank=0.1274, reg=0.0441]
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train epoch 1/1:  27%|██▋       | 2934/10792 [19:55<59:05,  2.22it/s, loss=0.0548, rank=0.0344, reg=0.0204]
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train epoch 1/1:  27%|██▋       | 2935/10792 [19:55<52:57,  2.47it/s, loss=0.1132, rank=0.0731, reg=0.0401]
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train epoch 1/1:  27%|██▋       | 2936/10792 [19:56<50:02,  2.62it/s, loss=0.1243, rank=0.0747, reg=0.0496]
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train epoch 1/1:  27%|██▋       | 2937/10792 [19:56<39:01,  3.35it/s, loss=0.1325, rank=0.0912, reg=0.0414]
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train epoch 1/1:  27%|██▋       | 2938/10792 [19:56<47:37,  2.75it/s, loss=0.0757, rank=0.0540, reg=0.0217]
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train epoch 1/1:  27%|██▋       | 2939/10792 [19:57<43:56,  2.98it/s, loss=0.0961, rank=0.0289, reg=0.0672]
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train epoch 1/1:  27%|██▋       | 2940/10792 [19:58<1:02:10,  2.10it/s, loss=0.0901, rank=0.0401, reg=0.0500]
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train epoch 1/1:  27%|██▋       | 2957/10792 [20:05<56:46,  2.30it/s, loss=0.1019, rank=0.0913, reg=0.0106]
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train epoch 1/1:  27%|██▋       | 2962/10792 [20:08<48:09,  2.71it/s, loss=0.1208, rank=0.0602, reg=0.0606]
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train epoch 1/1:  27%|██▋       | 2963/10792 [20:09<1:27:36,  1.49it/s, loss=0.0605, rank=0.0253, reg=0.0352]
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train epoch 1/1:  27%|██▋       | 2964/10792 [20:10<1:29:47,  1.45it/s, loss=0.2245, rank=0.0291, reg=0.1954]
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train epoch 1/1:  27%|██▋       | 2965/10792 [20:10<1:38:13,  1.33it/s, loss=0.1028, rank=0.0081, reg=0.0948]
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train epoch 1/1:  27%|██▋       | 2966/10792 [20:10<1:18:23,  1.66it/s, loss=0.0542, rank=0.0248, reg=0.0294]
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train epoch 1/1:  28%|██▊       | 2968/10792 [20:12<54:51,  2.38it/s, loss=0.0569, rank=0.0267, reg=0.0302]
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train epoch 1/1:  28%|██▊       | 2973/10792 [20:14<59:03,  2.21it/s, loss=0.0675, rank=0.0427, reg=0.0248]
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train epoch 1/1:  28%|██▊       | 2974/10792 [20:14<51:38,  2.52it/s, loss=0.0891, rank=0.0623, reg=0.0269]
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train epoch 1/1:  28%|██▊       | 2975/10792 [20:15<1:07:02,  1.94it/s, loss=0.0991, rank=0.0711, reg=0.0280]
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train epoch 1/1:  28%|██▊       | 2976/10792 [20:15<57:05,  2.28it/s, loss=0.1494, rank=0.0915, reg=0.0579]
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train epoch 1/1:  28%|██▊       | 2977/10792 [20:15<56:18,  2.31it/s, loss=0.0592, rank=0.0400, reg=0.0192]
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train epoch 1/1:  28%|██▊       | 2978/10792 [20:16<52:41,  2.47it/s, loss=0.0599, rank=0.0457, reg=0.0142]
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train epoch 1/1:  28%|██▊       | 2979/10792 [20:16<1:01:49,  2.11it/s, loss=0.0672, rank=0.0317, reg=0.0355]
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train epoch 1/1:  28%|██▊       | 2980/10792 [20:17<53:52,  2.42it/s, loss=0.0589, rank=0.0402, reg=0.0187]
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train epoch 1/1:  28%|██▊       | 2981/10792 [20:17<46:58,  2.77it/s, loss=0.0587, rank=0.0403, reg=0.0184]
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train epoch 1/1:  28%|██▊       | 2982/10792 [20:18<1:01:31,  2.12it/s, loss=0.0481, rank=0.0401, reg=0.0080]
train epoch 1/1:  28%|██▊       | 2983/10792 [20:18<54:29,  2.39it/s, loss=0.0481, rank=0.0401, reg=0.0080]  
train epoch 1/1:  28%|██▊       | 2983/10792 [20:18<54:29,  2.39it/s, loss=0.0450, rank=0.0271, reg=0.0179]
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train epoch 1/1:  28%|██▊       | 2984/10792 [20:18<48:25,  2.69it/s, loss=0.0936, rank=0.0688, reg=0.0249]
train epoch 1/1:  28%|██▊       | 2985/10792 [20:18<43:00,  3.03it/s, loss=0.0936, rank=0.0688, reg=0.0249]
train epoch 1/1:  28%|██▊       | 2985/10792 [20:18<43:00,  3.03it/s, loss=0.0828, rank=0.0571, reg=0.0257]
train epoch 1/1:  28%|██▊       | 2986/10792 [20:18<41:59,  3.10it/s, loss=0.0828, rank=0.0571, reg=0.0257]
train epoch 1/1:  28%|██▊       | 2986/10792 [20:19<41:59,  3.10it/s, loss=0.0864, rank=0.0641, reg=0.0222]
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train epoch 1/1:  28%|██▊       | 2987/10792 [20:19<36:09,  3.60it/s, loss=0.0521, rank=0.0215, reg=0.0307]
train epoch 1/1:  28%|██▊       | 2988/10792 [20:19<31:53,  4.08it/s, loss=0.0521, rank=0.0215, reg=0.0307]
train epoch 1/1:  28%|██▊       | 2988/10792 [20:19<31:53,  4.08it/s, loss=0.1112, rank=0.0576, reg=0.0536]
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train epoch 1/1:  28%|██▊       | 2989/10792 [20:20<35:14,  3.69it/s, loss=0.0548, rank=0.0451, reg=0.0097]
train epoch 1/1:  28%|██▊       | 2990/10792 [20:20<39:24,  3.30it/s, loss=0.0548, rank=0.0451, reg=0.0097]
train epoch 1/1:  28%|██▊       | 2990/10792 [20:20<39:24,  3.30it/s, loss=0.1203, rank=0.0460, reg=0.0743]
train epoch 1/1:  28%|██▊       | 2991/10792 [20:20<35:45,  3.64it/s, loss=0.1203, rank=0.0460, reg=0.0743]
train epoch 1/1:  28%|██▊       | 2991/10792 [20:20<35:45,  3.64it/s, loss=0.0946, rank=0.0732, reg=0.0214]
train epoch 1/1:  28%|██▊       | 2992/10792 [20:20<35:51,  3.63it/s, loss=0.0946, rank=0.0732, reg=0.0214]
train epoch 1/1:  28%|██▊       | 2992/10792 [20:21<35:51,  3.63it/s, loss=0.0725, rank=0.0448, reg=0.0277]
train epoch 1/1:  28%|██▊       | 2993/10792 [20:21<53:16,  2.44it/s, loss=0.0725, rank=0.0448, reg=0.0277]
train epoch 1/1:  28%|██▊       | 2993/10792 [20:21<53:16,  2.44it/s, loss=0.0401, rank=0.0100, reg=0.0302]
train epoch 1/1:  28%|██▊       | 2994/10792 [20:21<48:12,  2.70it/s, loss=0.0401, rank=0.0100, reg=0.0302]
train epoch 1/1:  28%|██▊       | 2994/10792 [20:21<48:12,  2.70it/s, loss=0.1152, rank=0.0824, reg=0.0328]
train epoch 1/1:  28%|██▊       | 2995/10792 [20:21<43:13,  3.01it/s, loss=0.1152, rank=0.0824, reg=0.0328]
train epoch 1/1:  28%|██▊       | 2995/10792 [20:22<43:13,  3.01it/s, loss=0.0504, rank=0.0328, reg=0.0176]
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train epoch 1/1:  28%|██▊       | 2996/10792 [20:22<56:30,  2.30it/s, loss=0.1129, rank=0.0366, reg=0.0762]
train epoch 1/1:  28%|██▊       | 2997/10792 [20:22<54:18,  2.39it/s, loss=0.1129, rank=0.0366, reg=0.0762]
train epoch 1/1:  28%|██▊       | 2997/10792 [20:23<54:18,  2.39it/s, loss=0.1146, rank=0.0351, reg=0.0795]
train epoch 1/1:  28%|██▊       | 2998/10792 [20:23<47:14,  2.75it/s, loss=0.1146, rank=0.0351, reg=0.0795]
train epoch 1/1:  28%|██▊       | 2998/10792 [20:23<47:14,  2.75it/s, loss=0.0391, rank=0.0317, reg=0.0073]
train epoch 1/1:  28%|██▊       | 2999/10792 [20:23<58:25,  2.22it/s, loss=0.0391, rank=0.0317, reg=0.0073]
train epoch 1/1:  28%|██▊       | 2999/10792 [20:23<58:25,  2.22it/s, loss=0.0980, rank=0.0188, reg=0.0793]
train epoch 1/1:  28%|██▊       | 3000/10792 [20:23<52:26,  2.48it/s, loss=0.0980, rank=0.0188, reg=0.0793]
train epoch 1/1:  28%|██▊       | 3000/10792 [20:24<52:26,  2.48it/s, loss=0.1329, rank=0.0505, reg=0.0823]
train epoch 1/1:  28%|██▊       | 3001/10792 [20:24<50:31,  2.57it/s, loss=0.1329, rank=0.0505, reg=0.0823]
train epoch 1/1:  28%|██▊       | 3001/10792 [20:24<50:31,  2.57it/s, loss=0.1120, rank=0.0498, reg=0.0622]
train epoch 1/1:  28%|██▊       | 3002/10792 [20:24<43:08,  3.01it/s, loss=0.1120, rank=0.0498, reg=0.0622]
train epoch 1/1:  28%|██▊       | 3002/10792 [20:24<43:08,  3.01it/s, loss=0.1009, rank=0.0327, reg=0.0681]
train epoch 1/1:  28%|██▊       | 3003/10792 [20:24<38:51,  3.34it/s, loss=0.1009, rank=0.0327, reg=0.0681]
train epoch 1/1:  28%|██▊       | 3003/10792 [20:25<38:51,  3.34it/s, loss=0.0527, rank=0.0334, reg=0.0193]
train epoch 1/1:  28%|██▊       | 3004/10792 [20:25<43:46,  2.96it/s, loss=0.0527, rank=0.0334, reg=0.0193]
train epoch 1/1:  28%|██▊       | 3004/10792 [20:25<43:46,  2.96it/s, loss=0.0625, rank=0.0292, reg=0.0333]
train epoch 1/1:  28%|██▊       | 3005/10792 [20:25<37:07,  3.50it/s, loss=0.0625, rank=0.0292, reg=0.0333]
train epoch 1/1:  28%|██▊       | 3005/10792 [20:25<37:07,  3.50it/s, loss=0.0573, rank=0.0187, reg=0.0385]
train epoch 1/1:  28%|██▊       | 3006/10792 [20:25<35:14,  3.68it/s, loss=0.0573, rank=0.0187, reg=0.0385]
train epoch 1/1:  28%|██▊       | 3006/10792 [20:25<35:14,  3.68it/s, loss=0.1307, rank=0.0608, reg=0.0699]
train epoch 1/1:  28%|██▊       | 3007/10792 [20:25<33:30,  3.87it/s, loss=0.1307, rank=0.0608, reg=0.0699]
train epoch 1/1:  28%|██▊       | 3007/10792 [20:26<33:30,  3.87it/s, loss=0.1300, rank=0.0728, reg=0.0572]
train epoch 1/1:  28%|██▊       | 3008/10792 [20:26<32:14,  4.02it/s, loss=0.1300, rank=0.0728, reg=0.0572]
train epoch 1/1:  28%|██▊       | 3008/10792 [20:26<32:14,  4.02it/s, loss=0.0489, rank=0.0352, reg=0.0137]
train epoch 1/1:  28%|██▊       | 3009/10792 [20:26<30:31,  4.25it/s, loss=0.0489, rank=0.0352, reg=0.0137]
train epoch 1/1:  28%|██▊       | 3009/10792 [20:26<30:31,  4.25it/s, loss=0.1025, rank=0.0635, reg=0.0390]
train epoch 1/1:  28%|██▊       | 3010/10792 [20:26<31:14,  4.15it/s, loss=0.1025, rank=0.0635, reg=0.0390]
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train epoch 1/1:  28%|██▊       | 3011/10792 [20:26<26:17,  4.93it/s, loss=0.0671, rank=0.0538, reg=0.0134]
train epoch 1/1:  28%|██▊       | 3011/10792 [20:27<26:17,  4.93it/s, loss=0.1444, rank=0.0886, reg=0.0558]
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train epoch 1/1:  28%|██▊       | 3017/10792 [20:29<42:55,  3.02it/s, loss=0.0588, rank=0.0378, reg=0.0210]
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train epoch 1/1:  28%|██▊       | 3018/10792 [20:30<40:54,  3.17it/s, loss=0.0645, rank=0.0377, reg=0.0268]
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train epoch 1/1:  28%|██▊       | 3021/10792 [20:31<57:32,  2.25it/s, loss=0.0101, rank=0.0004, reg=0.0097]
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train epoch 1/1:  28%|██▊       | 3024/10792 [20:32<57:08,  2.27it/s, loss=0.0796, rank=0.0612, reg=0.0184]
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train epoch 1/1:  28%|██▊       | 3026/10792 [20:33<49:17,  2.63it/s, loss=0.1018, rank=0.0389, reg=0.0630]
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train epoch 1/1:  28%|██▊       | 3027/10792 [20:34<56:31,  2.29it/s, loss=0.1120, rank=0.0651, reg=0.0468]
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train epoch 1/1:  28%|██▊       | 3028/10792 [20:34<56:00,  2.31it/s, loss=0.1097, rank=0.0523, reg=0.0574]
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train epoch 1/1:  28%|██▊       | 3029/10792 [20:34<55:32,  2.33it/s, loss=0.0951, rank=0.0507, reg=0.0443]
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train epoch 1/1:  28%|██▊       | 3030/10792 [20:35<48:46,  2.65it/s, loss=0.0585, rank=0.0537, reg=0.0047]
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train epoch 1/1:  28%|██▊       | 3031/10792 [20:35<45:34,  2.84it/s, loss=0.1097, rank=0.0510, reg=0.0587]
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train epoch 1/1:  28%|██▊       | 3032/10792 [20:35<41:26,  3.12it/s, loss=0.0569, rank=0.0449, reg=0.0120]
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train epoch 1/1:  28%|██▊       | 3033/10792 [20:36<37:44,  3.43it/s, loss=0.1880, rank=0.0319, reg=0.1561]
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train epoch 1/1:  28%|██▊       | 3035/10792 [20:37<54:39,  2.37it/s, loss=0.0463, rank=0.0259, reg=0.0204]
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train epoch 1/1:  28%|██▊       | 3036/10792 [20:37<59:23,  2.18it/s, loss=0.0755, rank=0.0394, reg=0.0362]
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train epoch 1/1:  28%|██▊       | 3039/10792 [20:38<58:11,  2.22it/s, loss=0.0288, rank=0.0161, reg=0.0127]
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train epoch 1/1:  28%|██▊       | 3040/10792 [20:39<47:18,  2.73it/s, loss=0.0836, rank=0.0464, reg=0.0372]
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train epoch 1/1:  28%|██▊       | 3041/10792 [20:39<43:27,  2.97it/s, loss=0.0899, rank=0.0525, reg=0.0375]
train epoch 1/1:  28%|██▊       | 3042/10792 [20:39<46:54,  2.75it/s, loss=0.0899, rank=0.0525, reg=0.0375]
train epoch 1/1:  28%|██▊       | 3042/10792 [20:39<46:54,  2.75it/s, loss=0.0438, rank=0.0317, reg=0.0121]
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train epoch 1/1:  28%|██▊       | 3043/10792 [20:40<39:44,  3.25it/s, loss=0.0586, rank=0.0411, reg=0.0175]
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train epoch 1/1:  28%|██▊       | 3044/10792 [20:40<42:23,  3.05it/s, loss=0.0939, rank=0.0495, reg=0.0444]
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train epoch 1/1:  28%|██▊       | 3045/10792 [20:41<41:17,  3.13it/s, loss=0.1244, rank=0.0234, reg=0.1010]
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train epoch 1/1:  28%|██▊       | 3046/10792 [20:42<54:49,  2.35it/s, loss=0.0388, rank=0.0129, reg=0.0260]
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train epoch 1/1:  28%|██▊       | 3047/10792 [20:42<1:18:17,  1.65it/s, loss=0.0602, rank=0.0259, reg=0.0343]
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train epoch 1/1:  28%|██▊       | 3048/10792 [20:43<1:03:52,  2.02it/s, loss=0.0935, rank=0.0386, reg=0.0548]
train epoch 1/1:  28%|██▊       | 3049/10792 [20:43<1:12:52,  1.77it/s, loss=0.0935, rank=0.0386, reg=0.0548]
train epoch 1/1:  28%|██▊       | 3049/10792 [20:43<1:12:52,  1.77it/s, loss=0.1333, rank=0.0913, reg=0.0420]
train epoch 1/1:  28%|██▊       | 3050/10792 [20:43<1:15:58,  1.70it/s, loss=0.1333, rank=0.0913, reg=0.0420]
train epoch 1/1:  28%|██▊       | 3050/10792 [20:44<1:15:58,  1.70it/s, loss=0.0653, rank=0.0292, reg=0.0361]
train epoch 1/1:  28%|██▊       | 3051/10792 [20:44<1:06:35,  1.94it/s, loss=0.0653, rank=0.0292, reg=0.0361]
train epoch 1/1:  28%|██▊       | 3051/10792 [20:44<1:06:35,  1.94it/s, loss=0.0941, rank=0.0346, reg=0.0596]
train epoch 1/1:  28%|██▊       | 3052/10792 [20:44<1:03:14,  2.04it/s, loss=0.0941, rank=0.0346, reg=0.0596]
train epoch 1/1:  28%|██▊       | 3052/10792 [20:44<1:03:14,  2.04it/s, loss=0.0842, rank=0.0357, reg=0.0484]
train epoch 1/1:  28%|██▊       | 3053/10792 [20:44<51:14,  2.52it/s, loss=0.0842, rank=0.0357, reg=0.0484]  
train epoch 1/1:  28%|██▊       | 3053/10792 [20:45<51:14,  2.52it/s, loss=0.1111, rank=0.0151, reg=0.0960]
train epoch 1/1:  28%|██▊       | 3054/10792 [20:45<55:54,  2.31it/s, loss=0.1111, rank=0.0151, reg=0.0960]
train epoch 1/1:  28%|██▊       | 3054/10792 [20:45<55:54,  2.31it/s, loss=0.0871, rank=0.0594, reg=0.0277]
train epoch 1/1:  28%|██▊       | 3055/10792 [20:45<46:26,  2.78it/s, loss=0.0871, rank=0.0594, reg=0.0277]
train epoch 1/1:  28%|██▊       | 3055/10792 [20:45<46:26,  2.78it/s, loss=0.1014, rank=0.0562, reg=0.0451]
train epoch 1/1:  28%|██▊       | 3056/10792 [20:45<53:20,  2.42it/s, loss=0.1014, rank=0.0562, reg=0.0451]
train epoch 1/1:  28%|██▊       | 3056/10792 [20:46<53:20,  2.42it/s, loss=0.2749, rank=0.2427, reg=0.0322]
train epoch 1/1:  28%|██▊       | 3057/10792 [20:46<57:58,  2.22it/s, loss=0.2749, rank=0.2427, reg=0.0322]
train epoch 1/1:  28%|██▊       | 3057/10792 [20:46<57:58,  2.22it/s, loss=0.0748, rank=0.0539, reg=0.0209]
train epoch 1/1:  28%|██▊       | 3058/10792 [20:46<49:16,  2.62it/s, loss=0.0748, rank=0.0539, reg=0.0209]
train epoch 1/1:  28%|██▊       | 3058/10792 [20:46<49:16,  2.62it/s, loss=0.1396, rank=0.0527, reg=0.0870]
train epoch 1/1:  28%|██▊       | 3059/10792 [20:46<41:34,  3.10it/s, loss=0.1396, rank=0.0527, reg=0.0870]
train epoch 1/1:  28%|██▊       | 3059/10792 [20:46<41:34,  3.10it/s, loss=0.0529, rank=0.0332, reg=0.0197]
train epoch 1/1:  28%|██▊       | 3060/10792 [20:46<34:31,  3.73it/s, loss=0.0529, rank=0.0332, reg=0.0197]
train epoch 1/1:  28%|██▊       | 3060/10792 [20:47<34:31,  3.73it/s, loss=0.0612, rank=0.0236, reg=0.0375]
train epoch 1/1:  28%|██▊       | 3061/10792 [20:47<32:27,  3.97it/s, loss=0.0612, rank=0.0236, reg=0.0375]
train epoch 1/1:  28%|██▊       | 3061/10792 [20:47<32:27,  3.97it/s, loss=0.0645, rank=0.0392, reg=0.0253]
train epoch 1/1:  28%|██▊       | 3062/10792 [20:47<28:43,  4.48it/s, loss=0.0645, rank=0.0392, reg=0.0253]
train epoch 1/1:  28%|██▊       | 3062/10792 [20:47<28:43,  4.48it/s, loss=0.0743, rank=0.0449, reg=0.0293]
train epoch 1/1:  28%|██▊       | 3063/10792 [20:47<27:32,  4.68it/s, loss=0.0743, rank=0.0449, reg=0.0293]
train epoch 1/1:  28%|██▊       | 3063/10792 [20:48<27:32,  4.68it/s, loss=0.1693, rank=0.0524, reg=0.1169]
train epoch 1/1:  28%|██▊       | 3064/10792 [20:48<55:34,  2.32it/s, loss=0.1693, rank=0.0524, reg=0.1169]
train epoch 1/1:  28%|██▊       | 3064/10792 [20:49<55:34,  2.32it/s, loss=0.1667, rank=0.0448, reg=0.1219]
train epoch 1/1:  28%|██▊       | 3065/10792 [20:49<1:20:23,  1.60it/s, loss=0.1667, rank=0.0448, reg=0.1219]
train epoch 1/1:  28%|██▊       | 3065/10792 [20:49<1:20:23,  1.60it/s, loss=0.0853, rank=0.0447, reg=0.0406]
train epoch 1/1:  28%|██▊       | 3066/10792 [20:49<1:07:41,  1.90it/s, loss=0.0853, rank=0.0447, reg=0.0406]
train epoch 1/1:  28%|██▊       | 3066/10792 [20:50<1:07:41,  1.90it/s, loss=0.0282, rank=0.0000, reg=0.0282]
train epoch 1/1:  28%|██▊       | 3067/10792 [20:50<1:16:16,  1.69it/s, loss=0.0282, rank=0.0000, reg=0.0282]
train epoch 1/1:  28%|██▊       | 3067/10792 [20:51<1:16:16,  1.69it/s, loss=0.0534, rank=0.0333, reg=0.0202]
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train epoch 1/1:  28%|██▊       | 3068/10792 [20:51<1:24:43,  1.52it/s, loss=0.0492, rank=0.0172, reg=0.0319]
train epoch 1/1:  28%|██▊       | 3069/10792 [20:51<1:08:52,  1.87it/s, loss=0.0492, rank=0.0172, reg=0.0319]
train epoch 1/1:  28%|██▊       | 3069/10792 [20:51<1:08:52,  1.87it/s, loss=0.0650, rank=0.0531, reg=0.0118]
train epoch 1/1:  28%|██▊       | 3070/10792 [20:51<58:11,  2.21it/s, loss=0.0650, rank=0.0531, reg=0.0118]  
train epoch 1/1:  28%|██▊       | 3070/10792 [20:52<58:11,  2.21it/s, loss=0.1092, rank=0.0691, reg=0.0401]
train epoch 1/1:  28%|██▊       | 3071/10792 [20:52<49:03,  2.62it/s, loss=0.1092, rank=0.0691, reg=0.0401]
train epoch 1/1:  28%|██▊       | 3071/10792 [20:52<49:03,  2.62it/s, loss=0.1098, rank=0.0931, reg=0.0167]
train epoch 1/1:  28%|██▊       | 3072/10792 [20:52<47:58,  2.68it/s, loss=0.1098, rank=0.0931, reg=0.0167]
train epoch 1/1:  28%|██▊       | 3072/10792 [20:53<47:58,  2.68it/s, loss=0.0975, rank=0.0630, reg=0.0345]
train epoch 1/1:  28%|██▊       | 3073/10792 [20:53<1:06:59,  1.92it/s, loss=0.0975, rank=0.0630, reg=0.0345]
train epoch 1/1:  28%|██▊       | 3073/10792 [20:53<1:06:59,  1.92it/s, loss=0.0596, rank=0.0430, reg=0.0167]
train epoch 1/1:  28%|██▊       | 3074/10792 [20:53<1:09:30,  1.85it/s, loss=0.0596, rank=0.0430, reg=0.0167]
train epoch 1/1:  28%|██▊       | 3074/10792 [20:54<1:09:30,  1.85it/s, loss=0.0250, rank=0.0108, reg=0.0141]
train epoch 1/1:  28%|██▊       | 3075/10792 [20:54<1:00:43,  2.12it/s, loss=0.0250, rank=0.0108, reg=0.0141]
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train epoch 1/1:  29%|██▊       | 3079/10792 [20:56<59:56,  2.14it/s, loss=0.0785, rank=0.0433, reg=0.0352]
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train epoch 1/1:  29%|██▊       | 3089/10792 [21:00<53:36,  2.40it/s, loss=0.0423, rank=0.0296, reg=0.0127]
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train epoch 1/1:  29%|██▊       | 3097/10792 [21:02<43:35,  2.94it/s, loss=0.0707, rank=0.0576, reg=0.0131]
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train epoch 1/1:  29%|██▉       | 3111/10792 [21:08<1:06:45,  1.92it/s, loss=0.1170, rank=0.0642, reg=0.0528]
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train epoch 1/1:  29%|██▉       | 3116/10792 [21:11<1:00:10,  2.13it/s, loss=0.0452, rank=0.0163, reg=0.0289]
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train epoch 1/1:  29%|██▉       | 3117/10792 [21:11<59:36,  2.15it/s, loss=0.0834, rank=0.0405, reg=0.0428]
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train epoch 1/1:  29%|██▉       | 3118/10792 [21:12<53:58,  2.37it/s, loss=0.0534, rank=0.0327, reg=0.0207]
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train epoch 1/1:  29%|██▉       | 3119/10792 [21:12<1:05:21,  1.96it/s, loss=0.0380, rank=0.0326, reg=0.0054]
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train epoch 1/1:  29%|██▉       | 3126/10792 [21:15<40:14,  3.18it/s, loss=0.0566, rank=0.0249, reg=0.0317]
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train epoch 1/1:  29%|██▉       | 3128/10792 [21:15<41:00,  3.11it/s, loss=0.1182, rank=0.0730, reg=0.0452]
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train epoch 1/1:  29%|██▉       | 3129/10792 [21:16<42:48,  2.98it/s, loss=0.0662, rank=0.0576, reg=0.0086]
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train epoch 1/1:  29%|██▉       | 3136/10792 [21:19<34:04,  3.74it/s, loss=0.0793, rank=0.0284, reg=0.0509]
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train epoch 1/1:  29%|██▉       | 3139/10792 [21:20<54:49,  2.33it/s, loss=0.0806, rank=0.0329, reg=0.0476]
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train epoch 1/1:  29%|██▉       | 3141/10792 [21:21<55:28,  2.30it/s, loss=0.0962, rank=0.0540, reg=0.0423]
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train epoch 1/1:  36%|███▌      | 3896/10792 [26:29<37:08,  3.09it/s, loss=0.0391, rank=0.0291, reg=0.0100]
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train epoch 1/1:  36%|███▋      | 3932/10792 [26:44<52:23,  2.18it/s, loss=0.1044, rank=0.0519, reg=0.0525]
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train epoch 1/1:  41%|████      | 4385/10792 [29:46<42:26,  2.52it/s, loss=0.1115, rank=0.0797, reg=0.0318]
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train epoch 1/1:  41%|████      | 4386/10792 [29:47<35:19,  3.02it/s, loss=0.0639, rank=0.0257, reg=0.0381]
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train epoch 1/1:  41%|████      | 4392/10792 [29:49<23:52,  4.47it/s, loss=0.1233, rank=0.0655, reg=0.0578]
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train epoch 1/1:  41%|████      | 4421/10792 [30:01<30:29,  3.48it/s, loss=0.1251, rank=0.0055, reg=0.1195]
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train epoch 1/1:  41%|████      | 4426/10792 [30:03<34:35,  3.07it/s, loss=0.0579, rank=0.0386, reg=0.0193]
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train epoch 1/1:  41%|████      | 4427/10792 [30:03<53:57,  1.97it/s, loss=0.0803, rank=0.0312, reg=0.0490]
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train epoch 1/1:  41%|████      | 4430/10792 [30:04<38:39,  2.74it/s, loss=0.0319, rank=0.0216, reg=0.0103]
train epoch 1/1:  41%|████      | 4431/10792 [30:04<33:32,  3.16it/s, loss=0.0319, rank=0.0216, reg=0.0103]
train epoch 1/1:  41%|████      | 4431/10792 [30:04<33:32,  3.16it/s, loss=0.0850, rank=0.0517, reg=0.0332]
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train epoch 1/1:  41%|████      | 4432/10792 [30:05<40:00,  2.65it/s, loss=0.0766, rank=0.0587, reg=0.0179]
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train epoch 1/1:  41%|████      | 4434/10792 [30:05<32:24,  3.27it/s, loss=0.0945, rank=0.0831, reg=0.0115]
train epoch 1/1:  41%|████      | 4435/10792 [30:05<30:11,  3.51it/s, loss=0.0945, rank=0.0831, reg=0.0115]
train epoch 1/1:  41%|████      | 4435/10792 [30:06<30:11,  3.51it/s, loss=0.1250, rank=0.0601, reg=0.0649]
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train epoch 1/1:  41%|████      | 4436/10792 [30:06<35:09,  3.01it/s, loss=0.0465, rank=0.0162, reg=0.0303]
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train epoch 1/1:  41%|████      | 4438/10792 [30:07<36:36,  2.89it/s, loss=0.0871, rank=0.0512, reg=0.0359]
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train epoch 1/1:  41%|████      | 4439/10792 [30:07<33:01,  3.21it/s, loss=0.0655, rank=0.0303, reg=0.0352]
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train epoch 1/1:  41%|████      | 4440/10792 [30:07<27:50,  3.80it/s, loss=0.1407, rank=0.0083, reg=0.1324]
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train epoch 1/1:  41%|████      | 4441/10792 [30:07<29:29,  3.59it/s, loss=0.0957, rank=0.0000, reg=0.0957]
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train epoch 1/1:  41%|████      | 4444/10792 [30:08<27:59,  3.78it/s, loss=0.0310, rank=0.0059, reg=0.0251]
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train epoch 1/1:  41%|████      | 4445/10792 [30:08<28:34,  3.70it/s, loss=0.0481, rank=0.0162, reg=0.0319]
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train epoch 1/1:  41%|████      | 4446/10792 [30:09<27:18,  3.87it/s, loss=0.1603, rank=0.0793, reg=0.0811]
train epoch 1/1:  41%|████      | 4447/10792 [30:09<26:21,  4.01it/s, loss=0.1603, rank=0.0793, reg=0.0811]
train epoch 1/1:  41%|████      | 4447/10792 [30:09<26:21,  4.01it/s, loss=0.1382, rank=0.0415, reg=0.0967]
train epoch 1/1:  41%|████      | 4448/10792 [30:09<33:40,  3.14it/s, loss=0.1382, rank=0.0415, reg=0.0967]
train epoch 1/1:  41%|████      | 4448/10792 [30:10<33:40,  3.14it/s, loss=0.0631, rank=0.0270, reg=0.0362]
train epoch 1/1:  41%|████      | 4449/10792 [30:10<59:00,  1.79it/s, loss=0.0631, rank=0.0270, reg=0.0362]
train epoch 1/1:  41%|████      | 4449/10792 [30:11<59:00,  1.79it/s, loss=0.0738, rank=0.0545, reg=0.0193]
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train epoch 1/1:  41%|████      | 4450/10792 [30:11<55:25,  1.91it/s, loss=0.0823, rank=0.0262, reg=0.0561]
train epoch 1/1:  41%|████      | 4451/10792 [30:11<49:14,  2.15it/s, loss=0.0823, rank=0.0262, reg=0.0561]
train epoch 1/1:  41%|████      | 4451/10792 [30:12<49:14,  2.15it/s, loss=0.0564, rank=0.0257, reg=0.0306]
train epoch 1/1:  41%|████▏     | 4452/10792 [30:12<53:41,  1.97it/s, loss=0.0564, rank=0.0257, reg=0.0306]
train epoch 1/1:  41%|████▏     | 4452/10792 [30:12<53:41,  1.97it/s, loss=0.1731, rank=0.0549, reg=0.1181]
train epoch 1/1:  41%|████▏     | 4453/10792 [30:12<1:01:22,  1.72it/s, loss=0.1731, rank=0.0549, reg=0.1181]
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train epoch 1/1:  41%|████▏     | 4455/10792 [30:14<58:45,  1.80it/s, loss=0.1115, rank=0.0485, reg=0.0630]
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train epoch 1/1:  41%|████▏     | 4456/10792 [30:14<51:02,  2.07it/s, loss=0.0612, rank=0.0375, reg=0.0236]
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train epoch 1/1:  41%|████▏     | 4460/10792 [30:16<34:33,  3.05it/s, loss=0.0638, rank=0.0312, reg=0.0325]
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train epoch 1/1:  41%|████▏     | 4461/10792 [30:16<49:18,  2.14it/s, loss=0.1434, rank=0.0990, reg=0.0444]
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train epoch 1/1:  42%|████▏     | 4497/10792 [30:31<41:16,  2.54it/s, loss=0.1648, rank=0.0843, reg=0.0805]
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train epoch 1/1:  42%|████▏     | 4513/10792 [30:39<59:39,  1.75it/s, loss=0.0225, rank=0.0125, reg=0.0100]
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train epoch 1/1:  42%|████▏     | 4524/10792 [30:45<1:01:24,  1.70it/s, loss=0.0558, rank=0.0267, reg=0.0291]
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train epoch 1/1:  42%|████▏     | 4526/10792 [30:45<49:02,  2.13it/s, loss=0.0811, rank=0.0634, reg=0.0178]
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train epoch 1/1:  42%|████▏     | 4527/10792 [30:46<44:41,  2.34it/s, loss=0.0679, rank=0.0517, reg=0.0162]
train epoch 1/1:  42%|████▏     | 4527/10792 [30:46<44:41,  2.34it/s, loss=0.0781, rank=0.0596, reg=0.0184]
train epoch 1/1:  42%|████▏     | 4528/10792 [30:46<35:08,  2.97it/s, loss=0.0781, rank=0.0596, reg=0.0184]
train epoch 1/1:  42%|████▏     | 4528/10792 [30:46<35:08,  2.97it/s, loss=0.1275, rank=0.0249, reg=0.1026]
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train epoch 1/1:  42%|████▏     | 4562/10792 [31:01<33:51,  3.07it/s, loss=0.0757, rank=0.0636, reg=0.0121]
train epoch 1/1:  42%|████▏     | 4563/10792 [31:01<38:53,  2.67it/s, loss=0.0757, rank=0.0636, reg=0.0121]
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train epoch 1/1:  42%|████▏     | 4564/10792 [31:02<34:07,  3.04it/s, loss=0.1175, rank=0.0975, reg=0.0200]
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train epoch 1/1:  42%|████▏     | 4572/10792 [31:05<34:43,  2.99it/s, loss=0.0926, rank=0.0568, reg=0.0358]
train epoch 1/1:  42%|████▏     | 4572/10792 [31:05<34:43,  2.99it/s, loss=0.1429, rank=0.0722, reg=0.0708]
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train epoch 1/1:  42%|████▏     | 4573/10792 [31:05<33:57,  3.05it/s, loss=0.1041, rank=0.0493, reg=0.0548]
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train epoch 1/1:  42%|████▏     | 4586/10792 [31:11<54:32,  1.90it/s, loss=0.1152, rank=0.0596, reg=0.0556]
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train epoch 1/1:  43%|████▎     | 4592/10792 [31:12<39:27,  2.62it/s, loss=0.0639, rank=0.0328, reg=0.0311]
train epoch 1/1:  43%|████▎     | 4592/10792 [31:13<39:27,  2.62it/s, loss=0.0408, rank=0.0318, reg=0.0089]
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train epoch 1/1:  43%|████▎     | 4593/10792 [31:14<50:06,  2.06it/s, loss=0.0529, rank=0.0373, reg=0.0156]
train epoch 1/1:  43%|████▎     | 4594/10792 [31:14<45:22,  2.28it/s, loss=0.0529, rank=0.0373, reg=0.0156]
train epoch 1/1:  43%|████▎     | 4594/10792 [31:14<45:22,  2.28it/s, loss=0.2101, rank=0.0564, reg=0.1537]
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train epoch 1/1:  43%|████▎     | 4694/10792 [31:51<25:14,  4.03it/s, loss=0.1319, rank=0.0878, reg=0.0441]
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train epoch 1/1:  44%|████▎     | 4695/10792 [31:51<24:12,  4.20it/s, loss=0.1814, rank=0.1286, reg=0.0527]
train epoch 1/1:  44%|████▎     | 4696/10792 [31:51<24:20,  4.17it/s, loss=0.1814, rank=0.1286, reg=0.0527]
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train epoch 1/1:  44%|████▎     | 4697/10792 [31:52<30:28,  3.33it/s, loss=0.1177, rank=0.0886, reg=0.0291]
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train epoch 1/1:  44%|████▍     | 4762/10792 [32:16<29:31,  3.40it/s, loss=0.0724, rank=0.0369, reg=0.0355]
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train epoch 1/1:  44%|████▍     | 4779/10792 [32:21<28:36,  3.50it/s, loss=0.1133, rank=0.0674, reg=0.0459]
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train epoch 1/1:  44%|████▍     | 4788/10792 [32:24<39:19,  2.54it/s, loss=0.0541, rank=0.0208, reg=0.0332]
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train epoch 1/1:  44%|████▍     | 4791/10792 [32:26<33:08,  3.02it/s, loss=0.0596, rank=0.0247, reg=0.0349]
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train epoch 1/1:  45%|████▍     | 4827/10792 [32:36<29:22,  3.38it/s, loss=0.1146, rank=0.0664, reg=0.0482]
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train epoch 1/1:  45%|████▍     | 4828/10792 [32:37<29:27,  3.38it/s, loss=0.0852, rank=0.0346, reg=0.0507]
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train epoch 1/1:  45%|████▌     | 4857/10792 [32:51<32:43,  3.02it/s, loss=0.0864, rank=0.0581, reg=0.0283]
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train epoch 1/1:  45%|████▌     | 4858/10792 [32:51<32:56,  3.00it/s, loss=0.0788, rank=0.0436, reg=0.0351]
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train epoch 1/1:  45%|████▌     | 4893/10792 [33:07<44:39,  2.20it/s, loss=0.0399, rank=0.0229, reg=0.0170]
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train epoch 1/1:  46%|████▌     | 4914/10792 [33:16<36:29,  2.68it/s, loss=0.0871, rank=0.0660, reg=0.0212]
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train epoch 1/1:  46%|████▌     | 4920/10792 [33:19<48:05,  2.03it/s, loss=0.0911, rank=0.0600, reg=0.0311]
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train epoch 1/1:  46%|████▌     | 4921/10792 [33:19<39:59,  2.45it/s, loss=0.0333, rank=0.0232, reg=0.0101]
train epoch 1/1:  46%|████▌     | 4922/10792 [33:19<34:10,  2.86it/s, loss=0.0333, rank=0.0232, reg=0.0101]
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train epoch 1/1:  46%|████▌     | 4923/10792 [33:19<31:28,  3.11it/s, loss=0.0581, rank=0.0177, reg=0.0404]
train epoch 1/1:  46%|████▌     | 4923/10792 [33:20<31:28,  3.11it/s, loss=0.1167, rank=0.0285, reg=0.0882]
train epoch 1/1:  46%|████▌     | 4924/10792 [33:20<30:25,  3.22it/s, loss=0.1167, rank=0.0285, reg=0.0882]
train epoch 1/1:  46%|████▌     | 4924/10792 [33:20<30:25,  3.22it/s, loss=0.0476, rank=0.0262, reg=0.0213]
train epoch 1/1:  46%|████▌     | 4925/10792 [33:20<41:30,  2.36it/s, loss=0.0476, rank=0.0262, reg=0.0213]
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train epoch 1/1:  46%|████▌     | 4955/10792 [33:34<38:14,  2.54it/s, loss=0.0481, rank=0.0242, reg=0.0239]
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train epoch 1/1:  46%|████▌     | 4957/10792 [33:34<37:24,  2.60it/s, loss=0.0966, rank=0.0513, reg=0.0452]
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train epoch 1/1:  46%|████▌     | 4958/10792 [33:35<35:42,  2.72it/s, loss=0.0544, rank=0.0052, reg=0.0492]
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train epoch 1/1:  46%|████▌     | 4959/10792 [33:35<43:24,  2.24it/s, loss=0.1413, rank=0.0402, reg=0.1011]
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train epoch 1/1:  46%|████▌     | 4960/10792 [33:35<39:44,  2.45it/s, loss=0.0983, rank=0.0694, reg=0.0289]
train epoch 1/1:  46%|████▌     | 4961/10792 [33:35<35:12,  2.76it/s, loss=0.0983, rank=0.0694, reg=0.0289]
train epoch 1/1:  46%|████▌     | 4961/10792 [33:36<35:12,  2.76it/s, loss=0.1027, rank=0.0205, reg=0.0822]
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train epoch 1/1:  46%|████▌     | 4967/10792 [33:37<28:43,  3.38it/s, loss=0.0584, rank=0.0493, reg=0.0091]
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train epoch 1/1:  46%|████▌     | 4968/10792 [33:38<30:54,  3.14it/s, loss=0.0528, rank=0.0241, reg=0.0286]
train epoch 1/1:  46%|████▌     | 4969/10792 [33:38<26:06,  3.72it/s, loss=0.0528, rank=0.0241, reg=0.0286]
train epoch 1/1:  46%|████▌     | 4969/10792 [33:38<26:06,  3.72it/s, loss=0.0320, rank=0.0189, reg=0.0131]
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train epoch 1/1:  46%|████▌     | 4970/10792 [33:38<39:55,  2.43it/s, loss=0.0839, rank=0.0317, reg=0.0521]
train epoch 1/1:  46%|████▌     | 4971/10792 [33:38<34:04,  2.85it/s, loss=0.0839, rank=0.0317, reg=0.0521]
train epoch 1/1:  46%|████▌     | 4971/10792 [33:39<34:04,  2.85it/s, loss=0.0495, rank=0.0096, reg=0.0399]
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train epoch 1/1:  46%|████▌     | 4972/10792 [33:39<38:29,  2.52it/s, loss=0.0927, rank=0.0574, reg=0.0353]
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train epoch 1/1:  46%|████▌     | 4973/10792 [33:40<32:28,  2.99it/s, loss=0.0531, rank=0.0306, reg=0.0225]
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train epoch 1/1:  46%|████▌     | 4982/10792 [33:43<34:02,  2.84it/s, loss=0.1153, rank=0.0745, reg=0.0409]
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train epoch 1/1:  46%|████▌     | 4985/10792 [33:45<43:21,  2.23it/s, loss=0.1520, rank=0.0447, reg=0.1073]
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train epoch 1/1:  46%|████▌     | 4986/10792 [33:45<41:01,  2.36it/s, loss=0.0687, rank=0.0326, reg=0.0362]
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train epoch 1/1:  46%|████▌     | 4990/10792 [33:47<33:54,  2.85it/s, loss=0.0771, rank=0.0471, reg=0.0301]
train epoch 1/1:  46%|████▌     | 4991/10792 [33:47<48:05,  2.01it/s, loss=0.0771, rank=0.0471, reg=0.0301]
train epoch 1/1:  46%|████▌     | 4991/10792 [33:47<48:05,  2.01it/s, loss=0.1117, rank=0.0726, reg=0.0391]
train epoch 1/1:  46%|████▋     | 4992/10792 [33:47<40:11,  2.40it/s, loss=0.1117, rank=0.0726, reg=0.0391]
train epoch 1/1:  46%|████▋     | 4992/10792 [33:47<40:11,  2.40it/s, loss=0.0519, rank=0.0373, reg=0.0146]
train epoch 1/1:  46%|████▋     | 4993/10792 [33:47<38:18,  2.52it/s, loss=0.0519, rank=0.0373, reg=0.0146]
train epoch 1/1:  46%|████▋     | 4993/10792 [33:48<38:18,  2.52it/s, loss=0.0827, rank=0.0607, reg=0.0220]
train epoch 1/1:  46%|████▋     | 4994/10792 [33:48<34:12,  2.82it/s, loss=0.0827, rank=0.0607, reg=0.0220]
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train epoch 1/1:  46%|████▋     | 4995/10792 [33:48<29:09,  3.31it/s, loss=0.0106, rank=0.0000, reg=0.0106]
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train epoch 1/1:  46%|████▋     | 4996/10792 [33:48<27:34,  3.50it/s, loss=0.0638, rank=0.0451, reg=0.0187]
train epoch 1/1:  46%|████▋     | 4996/10792 [33:48<27:34,  3.50it/s, loss=0.0650, rank=0.0302, reg=0.0347]
train epoch 1/1:  46%|████▋     | 4997/10792 [33:48<28:59,  3.33it/s, loss=0.0650, rank=0.0302, reg=0.0347]
train epoch 1/1:  46%|████▋     | 4997/10792 [33:49<28:59,  3.33it/s, loss=0.1269, rank=0.0254, reg=0.1015]
train epoch 1/1:  46%|████▋     | 4998/10792 [33:49<39:32,  2.44it/s, loss=0.1269, rank=0.0254, reg=0.1015]
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train epoch 1/1:  46%|████▋     | 4999/10792 [33:50<46:25,  2.08it/s, loss=0.1811, rank=0.0341, reg=0.1470]
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train epoch 1/1:  46%|████▋     | 5001/10792 [33:51<34:38,  2.79it/s, loss=0.1125, rank=0.0941, reg=0.0184]
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train epoch 1/1:  46%|████▋     | 5012/10792 [33:56<54:19,  1.77it/s, loss=0.1974, rank=0.0619, reg=0.1354]
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train epoch 1/1:  46%|████▋     | 5016/10792 [33:58<45:24,  2.12it/s, loss=0.0456, rank=0.0355, reg=0.0101]
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train epoch 1/1:  46%|████▋     | 5018/10792 [33:59<40:58,  2.35it/s, loss=0.2541, rank=0.1000, reg=0.1541]
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train epoch 1/1:  47%|████▋     | 5020/10792 [33:59<34:19,  2.80it/s, loss=0.1056, rank=0.0583, reg=0.0473]
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train epoch 1/1:  47%|████▋     | 5021/10792 [34:00<30:48,  3.12it/s, loss=0.0544, rank=0.0201, reg=0.0343]
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train epoch 1/1:  47%|████▋     | 5023/10792 [34:01<37:24,  2.57it/s, loss=0.0691, rank=0.0398, reg=0.0293]
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train epoch 1/1:  47%|████▋     | 5024/10792 [34:01<40:16,  2.39it/s, loss=0.0543, rank=0.0120, reg=0.0423]
train epoch 1/1:  47%|████▋     | 5025/10792 [34:01<37:46,  2.54it/s, loss=0.0543, rank=0.0120, reg=0.0423]
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train epoch 1/1:  47%|████▋     | 5026/10792 [34:03<57:56,  1.66it/s, loss=0.0631, rank=0.0246, reg=0.0385]
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train epoch 1/1:  47%|████▋     | 5027/10792 [34:03<53:35,  1.79it/s, loss=0.0578, rank=0.0212, reg=0.0365]
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train epoch 1/1:  47%|████▋     | 5029/10792 [34:04<40:33,  2.37it/s, loss=0.0982, rank=0.0717, reg=0.0265]
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train epoch 1/1:  47%|████▋     | 5034/10792 [34:05<32:59,  2.91it/s, loss=0.0464, rank=0.0261, reg=0.0203]
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train epoch 1/1:  47%|████▋     | 5035/10792 [34:06<29:09,  3.29it/s, loss=0.0848, rank=0.0519, reg=0.0329]
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train epoch 1/1:  47%|████▋     | 5037/10792 [34:06<35:18,  2.72it/s, loss=0.0593, rank=0.0418, reg=0.0175]
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train epoch 1/1:  47%|████▋     | 5039/10792 [34:07<30:51,  3.11it/s, loss=0.1536, rank=0.0197, reg=0.1339]
train epoch 1/1:  47%|████▋     | 5040/10792 [34:07<30:30,  3.14it/s, loss=0.1536, rank=0.0197, reg=0.1339]
train epoch 1/1:  47%|████▋     | 5040/10792 [34:07<30:30,  3.14it/s, loss=0.0541, rank=0.0208, reg=0.0334]
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train epoch 1/1:  47%|████▋     | 5041/10792 [34:08<27:33,  3.48it/s, loss=0.0927, rank=0.0841, reg=0.0086]
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train epoch 1/1:  47%|████▋     | 5042/10792 [34:08<39:44,  2.41it/s, loss=0.0964, rank=0.0439, reg=0.0525]
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train epoch 1/1:  47%|████▋     | 5043/10792 [34:09<40:05,  2.39it/s, loss=0.0797, rank=0.0432, reg=0.0365]
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train epoch 1/1:  47%|████▋     | 5044/10792 [34:09<38:59,  2.46it/s, loss=0.0508, rank=0.0322, reg=0.0186]
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train epoch 1/1:  47%|████▋     | 5045/10792 [34:09<33:33,  2.85it/s, loss=0.1018, rank=0.0181, reg=0.0837]
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train epoch 1/1:  47%|████▋     | 5046/10792 [34:10<31:10,  3.07it/s, loss=0.1151, rank=0.0332, reg=0.0818]
train epoch 1/1:  47%|████▋     | 5047/10792 [34:10<32:27,  2.95it/s, loss=0.1151, rank=0.0332, reg=0.0818]
train epoch 1/1:  47%|████▋     | 5047/10792 [34:10<32:27,  2.95it/s, loss=0.1327, rank=0.0527, reg=0.0799]
train epoch 1/1:  47%|████▋     | 5048/10792 [34:10<33:43,  2.84it/s, loss=0.1327, rank=0.0527, reg=0.0799]
train epoch 1/1:  47%|████▋     | 5048/10792 [34:11<33:43,  2.84it/s, loss=0.1066, rank=0.0478, reg=0.0588]
train epoch 1/1:  47%|████▋     | 5049/10792 [34:11<44:23,  2.16it/s, loss=0.1066, rank=0.0478, reg=0.0588]
train epoch 1/1:  47%|████▋     | 5049/10792 [34:11<44:23,  2.16it/s, loss=0.0562, rank=0.0246, reg=0.0315]
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train epoch 1/1:  47%|████▋     | 5050/10792 [34:12<48:23,  1.98it/s, loss=0.0776, rank=0.0265, reg=0.0511]
train epoch 1/1:  47%|████▋     | 5051/10792 [34:12<49:36,  1.93it/s, loss=0.0776, rank=0.0265, reg=0.0511]
train epoch 1/1:  47%|████▋     | 5051/10792 [34:12<49:36,  1.93it/s, loss=0.0934, rank=0.0703, reg=0.0230]
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train epoch 1/1:  47%|████▋     | 5052/10792 [34:13<47:27,  2.02it/s, loss=0.1148, rank=0.0432, reg=0.0716]
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train epoch 1/1:  47%|████▋     | 5053/10792 [34:13<39:38,  2.41it/s, loss=0.0974, rank=0.0116, reg=0.0857]
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train epoch 1/1:  47%|████▋     | 5054/10792 [34:14<46:43,  2.05it/s, loss=0.0799, rank=0.0193, reg=0.0607]
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train epoch 1/1:  47%|████▋     | 5055/10792 [34:14<46:29,  2.06it/s, loss=0.0640, rank=0.0023, reg=0.0617]
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train epoch 1/1:  47%|████▋     | 5056/10792 [34:14<45:26,  2.10it/s, loss=0.1646, rank=0.0824, reg=0.0821]
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train epoch 1/1:  47%|████▋     | 5091/10792 [34:31<42:36,  2.23it/s, loss=0.0950, rank=0.0690, reg=0.0260]
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train epoch 1/1:  47%|████▋     | 5109/10792 [34:38<26:17,  3.60it/s, loss=0.0971, rank=0.0645, reg=0.0326]
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train epoch 1/1:  48%|████▊     | 5155/10792 [35:02<52:32,  1.79it/s, loss=0.0388, rank=0.0219, reg=0.0170]
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train epoch 1/1:  48%|████▊     | 5157/10792 [35:03<42:11,  2.23it/s, loss=0.1306, rank=0.0713, reg=0.0593]
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train epoch 1/1:  48%|████▊     | 5158/10792 [35:03<50:56,  1.84it/s, loss=0.1610, rank=0.0865, reg=0.0746]
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train epoch 1/1:  48%|████▊     | 5159/10792 [35:03<41:17,  2.27it/s, loss=0.0799, rank=0.0515, reg=0.0284]
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train epoch 1/1:  48%|████▊     | 5161/10792 [35:04<37:34,  2.50it/s, loss=0.1789, rank=0.0688, reg=0.1101]
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train epoch 1/1:  48%|████▊     | 5165/10792 [35:05<33:00,  2.84it/s, loss=0.1013, rank=0.0484, reg=0.0528]
train epoch 1/1:  48%|████▊     | 5166/10792 [35:05<28:15,  3.32it/s, loss=0.1013, rank=0.0484, reg=0.0528]
train epoch 1/1:  48%|████▊     | 5166/10792 [35:06<28:15,  3.32it/s, loss=0.0799, rank=0.0687, reg=0.0112]
train epoch 1/1:  48%|████▊     | 5167/10792 [35:06<39:26,  2.38it/s, loss=0.0799, rank=0.0687, reg=0.0112]
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train epoch 1/1:  48%|████▊     | 5169/10792 [35:07<38:01,  2.46it/s, loss=0.0531, rank=0.0365, reg=0.0166]
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train epoch 1/1:  48%|████▊     | 5173/10792 [35:09<31:26,  2.98it/s, loss=0.1133, rank=0.0120, reg=0.1013]
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train epoch 1/1:  48%|████▊     | 5179/10792 [35:11<44:44,  2.09it/s, loss=0.0481, rank=0.0220, reg=0.0261]
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train epoch 1/1:  48%|████▊     | 5181/10792 [35:12<38:22,  2.44it/s, loss=0.1331, rank=0.0883, reg=0.0449]
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train epoch 1/1:  48%|████▊     | 5185/10792 [35:13<26:38,  3.51it/s, loss=0.0184, rank=0.0071, reg=0.0112]
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train epoch 1/1:  48%|████▊     | 5186/10792 [35:13<26:22,  3.54it/s, loss=0.0478, rank=0.0251, reg=0.0227]
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train epoch 1/1:  48%|████▊     | 5187/10792 [35:14<32:26,  2.88it/s, loss=0.0936, rank=0.0429, reg=0.0507]
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train epoch 1/1:  48%|████▊     | 5188/10792 [35:14<27:05,  3.45it/s, loss=0.0706, rank=0.0390, reg=0.0316]
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train epoch 1/1:  48%|████▊     | 5191/10792 [35:15<27:31,  3.39it/s, loss=0.0790, rank=0.0178, reg=0.0612]
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train epoch 1/1:  48%|████▊     | 5194/10792 [35:16<27:56,  3.34it/s, loss=0.1418, rank=0.0027, reg=0.1391]
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train epoch 1/1:  48%|████▊     | 5222/10792 [35:27<35:08,  2.64it/s, loss=0.1508, rank=0.0879, reg=0.0629]
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train epoch 1/1:  48%|████▊     | 5223/10792 [35:28<29:47,  3.12it/s, loss=0.1046, rank=0.0527, reg=0.0519]
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train epoch 1/1:  48%|████▊     | 5224/10792 [35:28<40:28,  2.29it/s, loss=0.0986, rank=0.0688, reg=0.0298]
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train epoch 1/1:  60%|█████▉    | 6429/10792 [43:39<25:29,  2.85it/s, loss=0.0416, rank=0.0228, reg=0.0188]
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train epoch 1/1:  60%|█████▉    | 6431/10792 [43:39<29:09,  2.49it/s, loss=0.0364, rank=0.0221, reg=0.0143]
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train epoch 1/1:  60%|█████▉    | 6432/10792 [43:39<24:59,  2.91it/s, loss=0.1060, rank=0.0501, reg=0.0559]
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train epoch 1/1:  60%|█████▉    | 6433/10792 [43:39<21:52,  3.32it/s, loss=0.0708, rank=0.0471, reg=0.0237]
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train epoch 1/1:  60%|██████    | 6527/10792 [44:16<32:49,  2.17it/s, loss=0.0940, rank=0.0232, reg=0.0708]
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train epoch 1/1:  60%|██████    | 6529/10792 [44:18<48:16,  1.47it/s, loss=0.0420, rank=0.0219, reg=0.0201]
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train epoch 1/1:  61%|██████    | 6532/10792 [44:19<32:31,  2.18it/s, loss=0.0873, rank=0.0426, reg=0.0447]
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train epoch 1/1:  61%|██████    | 6533/10792 [44:19<35:26,  2.00it/s, loss=0.0839, rank=0.0624, reg=0.0216]
train epoch 1/1:  61%|██████    | 6534/10792 [44:19<40:15,  1.76it/s, loss=0.0839, rank=0.0624, reg=0.0216]
train epoch 1/1:  61%|██████    | 6534/10792 [44:20<40:15,  1.76it/s, loss=0.0792, rank=0.0668, reg=0.0124]
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train epoch 1/1:  61%|██████    | 6535/10792 [44:20<32:33,  2.18it/s, loss=0.0914, rank=0.0721, reg=0.0193]
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train epoch 1/1:  61%|██████    | 6536/10792 [44:20<26:59,  2.63it/s, loss=0.1110, rank=0.0714, reg=0.0397]
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train epoch 1/1:  61%|██████    | 6537/10792 [44:21<21:51,  3.24it/s, loss=0.0382, rank=0.0290, reg=0.0092]
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train epoch 1/1:  61%|██████    | 6540/10792 [44:22<31:27,  2.25it/s, loss=0.0854, rank=0.0730, reg=0.0123]
train epoch 1/1:  61%|██████    | 6541/10792 [44:22<31:03,  2.28it/s, loss=0.0854, rank=0.0730, reg=0.0123]
train epoch 1/1:  61%|██████    | 6541/10792 [44:23<31:03,  2.28it/s, loss=0.2121, rank=0.0247, reg=0.1874]
train epoch 1/1:  61%|██████    | 6542/10792 [44:23<37:46,  1.88it/s, loss=0.2121, rank=0.0247, reg=0.1874]
train epoch 1/1:  61%|██████    | 6542/10792 [44:23<37:46,  1.88it/s, loss=0.1397, rank=0.0591, reg=0.0806]
train epoch 1/1:  61%|██████    | 6543/10792 [44:23<29:50,  2.37it/s, loss=0.1397, rank=0.0591, reg=0.0806]
train epoch 1/1:  61%|██████    | 6543/10792 [44:23<29:50,  2.37it/s, loss=0.0710, rank=0.0619, reg=0.0091]
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train epoch 1/1:  61%|██████    | 6549/10792 [44:26<29:45,  2.38it/s, loss=0.0700, rank=0.0262, reg=0.0439]
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train epoch 1/1:  61%|██████    | 6550/10792 [44:26<25:38,  2.76it/s, loss=0.0370, rank=0.0177, reg=0.0193]
train epoch 1/1:  61%|██████    | 6551/10792 [44:26<24:21,  2.90it/s, loss=0.0370, rank=0.0177, reg=0.0193]
train epoch 1/1:  61%|██████    | 6551/10792 [44:26<24:21,  2.90it/s, loss=0.0559, rank=0.0263, reg=0.0297]
train epoch 1/1:  61%|██████    | 6552/10792 [44:26<21:52,  3.23it/s, loss=0.0559, rank=0.0263, reg=0.0297]
train epoch 1/1:  61%|██████    | 6552/10792 [44:26<21:52,  3.23it/s, loss=0.0842, rank=0.0284, reg=0.0558]
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train epoch 1/1:  61%|██████    | 6553/10792 [44:27<19:52,  3.55it/s, loss=0.0596, rank=0.0277, reg=0.0318]
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train epoch 1/1:  61%|██████    | 6554/10792 [44:27<17:46,  3.98it/s, loss=0.0662, rank=0.0309, reg=0.0354]
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train epoch 1/1:  61%|██████    | 6556/10792 [44:28<27:18,  2.58it/s, loss=0.0707, rank=0.0641, reg=0.0066]
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train epoch 1/1:  61%|██████    | 6557/10792 [44:29<22:32,  3.13it/s, loss=0.0521, rank=0.0182, reg=0.0339]
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train epoch 1/1:  61%|██████    | 6558/10792 [44:29<34:22,  2.05it/s, loss=0.0402, rank=0.0131, reg=0.0271]
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train epoch 1/1:  61%|██████    | 6559/10792 [44:29<36:02,  1.96it/s, loss=0.0685, rank=0.0462, reg=0.0223]
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train epoch 1/1:  61%|██████    | 6560/10792 [44:30<30:37,  2.30it/s, loss=0.1138, rank=0.0499, reg=0.0639]
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train epoch 1/1:  61%|██████    | 6561/10792 [44:30<28:53,  2.44it/s, loss=0.0976, rank=0.0460, reg=0.0515]
train epoch 1/1:  61%|██████    | 6562/10792 [44:30<25:36,  2.75it/s, loss=0.0976, rank=0.0460, reg=0.0515]
train epoch 1/1:  61%|██████    | 6562/10792 [44:30<25:36,  2.75it/s, loss=0.0745, rank=0.0397, reg=0.0348]
train epoch 1/1:  61%|██████    | 6563/10792 [44:30<23:33,  2.99it/s, loss=0.0745, rank=0.0397, reg=0.0348]
train epoch 1/1:  61%|██████    | 6563/10792 [44:31<23:33,  2.99it/s, loss=0.1280, rank=0.0667, reg=0.0614]
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train epoch 1/1:  61%|██████    | 6564/10792 [44:31<21:46,  3.24it/s, loss=0.0462, rank=0.0290, reg=0.0172]
train epoch 1/1:  61%|██████    | 6565/10792 [44:31<20:53,  3.37it/s, loss=0.0462, rank=0.0290, reg=0.0172]
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train epoch 1/1:  61%|██████    | 6566/10792 [44:32<27:10,  2.59it/s, loss=0.0390, rank=0.0126, reg=0.0264]
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train epoch 1/1:  61%|██████    | 6588/10792 [44:41<38:13,  1.83it/s, loss=0.0517, rank=0.0371, reg=0.0146]
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train epoch 1/1:  61%|██████    | 6590/10792 [44:42<32:34,  2.15it/s, loss=0.1874, rank=0.0571, reg=0.1304]
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train epoch 1/1:  61%|██████    | 6593/10792 [44:43<27:49,  2.52it/s, loss=0.0833, rank=0.0375, reg=0.0458]
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train epoch 1/1:  61%|██████    | 6596/10792 [44:44<31:38,  2.21it/s, loss=0.0709, rank=0.0529, reg=0.0180]
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train epoch 1/1:  61%|██████    | 6599/10792 [44:47<37:28,  1.87it/s, loss=0.0917, rank=0.0410, reg=0.0508]
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train epoch 1/1:  61%|██████    | 6600/10792 [44:47<52:43,  1.33it/s, loss=0.0939, rank=0.0732, reg=0.0206]
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train epoch 1/1:  61%|██████    | 6601/10792 [44:47<40:25,  1.73it/s, loss=0.1999, rank=0.0160, reg=0.1839]
train epoch 1/1:  61%|██████    | 6602/10792 [44:47<35:38,  1.96it/s, loss=0.1999, rank=0.0160, reg=0.1839]
train epoch 1/1:  61%|██████    | 6602/10792 [44:47<35:38,  1.96it/s, loss=0.0864, rank=0.0478, reg=0.0385]
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train epoch 1/1:  61%|██████    | 6603/10792 [44:48<28:12,  2.48it/s, loss=0.1254, rank=0.0391, reg=0.0863]
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train epoch 1/1:  61%|██████    | 6605/10792 [44:49<27:14,  2.56it/s, loss=0.0573, rank=0.0252, reg=0.0322]
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train epoch 1/1:  61%|██████    | 6607/10792 [44:50<32:02,  2.18it/s, loss=0.0933, rank=0.0687, reg=0.0246]
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train epoch 1/1:  61%|██████    | 6608/10792 [44:51<27:49,  2.51it/s, loss=0.0871, rank=0.0274, reg=0.0597]
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train epoch 1/1:  61%|██████    | 6609/10792 [44:51<44:33,  1.56it/s, loss=0.2195, rank=0.0212, reg=0.1983]
train epoch 1/1:  61%|██████    | 6610/10792 [44:51<43:24,  1.61it/s, loss=0.2195, rank=0.0212, reg=0.1983]
train epoch 1/1:  61%|██████    | 6610/10792 [44:52<43:24,  1.61it/s, loss=0.0462, rank=0.0316, reg=0.0146]
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train epoch 1/1:  61%|██████▏   | 6615/10792 [44:53<25:06,  2.77it/s, loss=0.0707, rank=0.0492, reg=0.0215]
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train epoch 1/1:  61%|██████▏   | 6620/10792 [44:56<33:43,  2.06it/s, loss=0.0767, rank=0.0175, reg=0.0592]
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train epoch 1/1:  61%|██████▏   | 6621/10792 [44:56<39:02,  1.78it/s, loss=0.1903, rank=0.0693, reg=0.1210]
train epoch 1/1:  61%|██████▏   | 6622/10792 [44:56<30:31,  2.28it/s, loss=0.1903, rank=0.0693, reg=0.1210]
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train epoch 1/1:  61%|██████▏   | 6623/10792 [44:57<38:18,  1.81it/s, loss=0.1461, rank=0.1019, reg=0.0441]
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train epoch 1/1:  61%|██████▏   | 6624/10792 [44:57<33:37,  2.07it/s, loss=0.1126, rank=0.0493, reg=0.0633]
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train epoch 1/1:  61%|██████▏   | 6625/10792 [44:58<30:34,  2.27it/s, loss=0.0467, rank=0.0185, reg=0.0282]
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train epoch 1/1:  61%|██████▏   | 6627/10792 [44:58<27:39,  2.51it/s, loss=0.2137, rank=0.0404, reg=0.1733]
train epoch 1/1:  61%|██████▏   | 6627/10792 [44:59<27:39,  2.51it/s, loss=0.1252, rank=0.0613, reg=0.0639]
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train epoch 1/1:  61%|██████▏   | 6629/10792 [45:00<33:13,  2.09it/s, loss=0.0766, rank=0.0251, reg=0.0516]
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train epoch 1/1:  61%|██████▏   | 6631/10792 [45:01<34:40,  2.00it/s, loss=0.0965, rank=0.0622, reg=0.0343]
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train epoch 1/1:  62%|██████▏   | 6698/10792 [45:26<31:21,  2.18it/s, loss=0.1212, rank=0.0343, reg=0.0869]
train epoch 1/1:  62%|██████▏   | 6698/10792 [45:26<31:21,  2.18it/s, loss=0.0053, rank=0.0000, reg=0.0053]
train epoch 1/1:  62%|██████▏   | 6699/10792 [45:26<26:28,  2.58it/s, loss=0.0053, rank=0.0000, reg=0.0053]
train epoch 1/1:  62%|██████▏   | 6699/10792 [45:26<26:28,  2.58it/s, loss=0.1098, rank=0.0948, reg=0.0150]
train epoch 1/1:  62%|██████▏   | 6700/10792 [45:26<21:29,  3.17it/s, loss=0.1098, rank=0.0948, reg=0.0150]
train epoch 1/1:  62%|██████▏   | 6700/10792 [45:26<21:29,  3.17it/s, loss=0.0552, rank=0.0239, reg=0.0313]
train epoch 1/1:  62%|██████▏   | 6701/10792 [45:26<21:45,  3.13it/s, loss=0.0552, rank=0.0239, reg=0.0313]
train epoch 1/1:  62%|██████▏   | 6701/10792 [45:27<21:45,  3.13it/s, loss=0.0805, rank=0.0570, reg=0.0234]
train epoch 1/1:  62%|██████▏   | 6702/10792 [45:27<18:02,  3.78it/s, loss=0.0805, rank=0.0570, reg=0.0234]
train epoch 1/1:  62%|██████▏   | 6702/10792 [45:27<18:02,  3.78it/s, loss=0.1981, rank=0.0594, reg=0.1388]
train epoch 1/1:  62%|██████▏   | 6703/10792 [45:27<29:34,  2.30it/s, loss=0.1981, rank=0.0594, reg=0.1388]
train epoch 1/1:  62%|██████▏   | 6703/10792 [45:28<29:34,  2.30it/s, loss=0.0582, rank=0.0372, reg=0.0210]
train epoch 1/1:  62%|██████▏   | 6704/10792 [45:28<36:59,  1.84it/s, loss=0.0582, rank=0.0372, reg=0.0210]
train epoch 1/1:  62%|██████▏   | 6704/10792 [45:29<36:59,  1.84it/s, loss=0.1795, rank=0.0408, reg=0.1387]
train epoch 1/1:  62%|██████▏   | 6705/10792 [45:29<42:50,  1.59it/s, loss=0.1795, rank=0.0408, reg=0.1387]
train epoch 1/1:  62%|██████▏   | 6705/10792 [45:29<42:50,  1.59it/s, loss=0.0628, rank=0.0491, reg=0.0138]
train epoch 1/1:  62%|██████▏   | 6706/10792 [45:29<35:24,  1.92it/s, loss=0.0628, rank=0.0491, reg=0.0138]
train epoch 1/1:  62%|██████▏   | 6706/10792 [45:30<35:24,  1.92it/s, loss=0.0624, rank=0.0474, reg=0.0150]
train epoch 1/1:  62%|██████▏   | 6707/10792 [45:30<32:32,  2.09it/s, loss=0.0624, rank=0.0474, reg=0.0150]
train epoch 1/1:  62%|██████▏   | 6707/10792 [45:30<32:32,  2.09it/s, loss=0.1038, rank=0.0825, reg=0.0213]
train epoch 1/1:  62%|██████▏   | 6708/10792 [45:30<27:48,  2.45it/s, loss=0.1038, rank=0.0825, reg=0.0213]
train epoch 1/1:  62%|██████▏   | 6708/10792 [45:30<27:48,  2.45it/s, loss=0.0853, rank=0.0600, reg=0.0254]
train epoch 1/1:  62%|██████▏   | 6709/10792 [45:30<23:43,  2.87it/s, loss=0.0853, rank=0.0600, reg=0.0254]
train epoch 1/1:  62%|██████▏   | 6709/10792 [45:31<23:43,  2.87it/s, loss=0.0180, rank=0.0136, reg=0.0044]
train epoch 1/1:  62%|██████▏   | 6710/10792 [45:31<26:53,  2.53it/s, loss=0.0180, rank=0.0136, reg=0.0044]
train epoch 1/1:  62%|██████▏   | 6710/10792 [45:31<26:53,  2.53it/s, loss=0.0481, rank=0.0345, reg=0.0137]
train epoch 1/1:  62%|██████▏   | 6711/10792 [45:31<22:27,  3.03it/s, loss=0.0481, rank=0.0345, reg=0.0137]
train epoch 1/1:  62%|██████▏   | 6711/10792 [45:32<22:27,  3.03it/s, loss=0.0712, rank=0.0591, reg=0.0121]
train epoch 1/1:  62%|██████▏   | 6712/10792 [45:32<31:15,  2.18it/s, loss=0.0712, rank=0.0591, reg=0.0121]
train epoch 1/1:  62%|██████▏   | 6712/10792 [45:32<31:15,  2.18it/s, loss=0.0763, rank=0.0568, reg=0.0195]
train epoch 1/1:  62%|██████▏   | 6713/10792 [45:32<31:46,  2.14it/s, loss=0.0763, rank=0.0568, reg=0.0195]
train epoch 1/1:  62%|██████▏   | 6713/10792 [45:32<31:46,  2.14it/s, loss=0.0336, rank=0.0296, reg=0.0041]
train epoch 1/1:  62%|██████▏   | 6714/10792 [45:32<25:35,  2.66it/s, loss=0.0336, rank=0.0296, reg=0.0041]
train epoch 1/1:  62%|██████▏   | 6714/10792 [45:33<25:35,  2.66it/s, loss=0.0579, rank=0.0335, reg=0.0244]
train epoch 1/1:  62%|██████▏   | 6715/10792 [45:33<26:54,  2.52it/s, loss=0.0579, rank=0.0335, reg=0.0244]
train epoch 1/1:  62%|██████▏   | 6715/10792 [45:33<26:54,  2.52it/s, loss=0.0465, rank=0.0255, reg=0.0210]
train epoch 1/1:  62%|██████▏   | 6716/10792 [45:33<23:08,  2.94it/s, loss=0.0465, rank=0.0255, reg=0.0210]
train epoch 1/1:  62%|██████▏   | 6716/10792 [45:34<23:08,  2.94it/s, loss=0.0241, rank=0.0147, reg=0.0095]
train epoch 1/1:  62%|██████▏   | 6717/10792 [45:34<34:03,  1.99it/s, loss=0.0241, rank=0.0147, reg=0.0095]
train epoch 1/1:  62%|██████▏   | 6717/10792 [45:34<34:03,  1.99it/s, loss=0.0430, rank=0.0401, reg=0.0029]
train epoch 1/1:  62%|██████▏   | 6718/10792 [45:34<35:23,  1.92it/s, loss=0.0430, rank=0.0401, reg=0.0029]
train epoch 1/1:  62%|██████▏   | 6718/10792 [45:35<35:23,  1.92it/s, loss=0.0299, rank=0.0168, reg=0.0132]
train epoch 1/1:  62%|██████▏   | 6719/10792 [45:35<31:24,  2.16it/s, loss=0.0299, rank=0.0168, reg=0.0132]
train epoch 1/1:  62%|██████▏   | 6719/10792 [45:35<31:24,  2.16it/s, loss=0.3228, rank=0.0514, reg=0.2713]
train epoch 1/1:  62%|██████▏   | 6720/10792 [45:35<32:20,  2.10it/s, loss=0.3228, rank=0.0514, reg=0.2713]
train epoch 1/1:  62%|██████▏   | 6720/10792 [45:35<32:20,  2.10it/s, loss=0.0434, rank=0.0127, reg=0.0307]
train epoch 1/1:  62%|██████▏   | 6721/10792 [45:35<30:44,  2.21it/s, loss=0.0434, rank=0.0127, reg=0.0307]
train epoch 1/1:  62%|██████▏   | 6721/10792 [45:36<30:44,  2.21it/s, loss=0.0417, rank=0.0146, reg=0.0271]
train epoch 1/1:  62%|██████▏   | 6722/10792 [45:36<39:36,  1.71it/s, loss=0.0417, rank=0.0146, reg=0.0271]
train epoch 1/1:  62%|██████▏   | 6722/10792 [45:37<39:36,  1.71it/s, loss=0.0508, rank=0.0314, reg=0.0194]
train epoch 1/1:  62%|██████▏   | 6723/10792 [45:37<38:49,  1.75it/s, loss=0.0508, rank=0.0314, reg=0.0194]
train epoch 1/1:  62%|██████▏   | 6723/10792 [45:37<38:49,  1.75it/s, loss=0.0701, rank=0.0358, reg=0.0342]
train epoch 1/1:  62%|██████▏   | 6724/10792 [45:37<33:00,  2.05it/s, loss=0.0701, rank=0.0358, reg=0.0342]
train epoch 1/1:  62%|██████▏   | 6724/10792 [45:37<33:00,  2.05it/s, loss=0.0660, rank=0.0586, reg=0.0074]
train epoch 1/1:  62%|██████▏   | 6725/10792 [45:37<27:11,  2.49it/s, loss=0.0660, rank=0.0586, reg=0.0074]
train epoch 1/1:  62%|██████▏   | 6725/10792 [45:38<27:11,  2.49it/s, loss=0.1092, rank=0.0266, reg=0.0826]
train epoch 1/1:  62%|██████▏   | 6726/10792 [45:38<33:06,  2.05it/s, loss=0.1092, rank=0.0266, reg=0.0826]
train epoch 1/1:  62%|██████▏   | 6726/10792 [45:38<33:06,  2.05it/s, loss=0.0766, rank=0.0216, reg=0.0549]
train epoch 1/1:  62%|██████▏   | 6727/10792 [45:38<29:01,  2.33it/s, loss=0.0766, rank=0.0216, reg=0.0549]
train epoch 1/1:  62%|██████▏   | 6727/10792 [45:39<29:01,  2.33it/s, loss=0.0583, rank=0.0369, reg=0.0214]
train epoch 1/1:  62%|██████▏   | 6728/10792 [45:39<31:50,  2.13it/s, loss=0.0583, rank=0.0369, reg=0.0214]
train epoch 1/1:  62%|██████▏   | 6728/10792 [45:39<31:50,  2.13it/s, loss=0.0789, rank=0.0617, reg=0.0172]
train epoch 1/1:  62%|██████▏   | 6729/10792 [45:39<27:34,  2.46it/s, loss=0.0789, rank=0.0617, reg=0.0172]
train epoch 1/1:  62%|██████▏   | 6729/10792 [45:39<27:34,  2.46it/s, loss=0.1197, rank=0.0010, reg=0.1187]
train epoch 1/1:  62%|██████▏   | 6730/10792 [45:39<24:06,  2.81it/s, loss=0.1197, rank=0.0010, reg=0.1187]
train epoch 1/1:  62%|██████▏   | 6730/10792 [45:40<24:06,  2.81it/s, loss=0.0362, rank=0.0193, reg=0.0169]
train epoch 1/1:  62%|██████▏   | 6731/10792 [45:40<20:48,  3.25it/s, loss=0.0362, rank=0.0193, reg=0.0169]
train epoch 1/1:  62%|██████▏   | 6731/10792 [45:40<20:48,  3.25it/s, loss=0.1025, rank=0.0299, reg=0.0727]
train epoch 1/1:  62%|██████▏   | 6732/10792 [45:40<26:30,  2.55it/s, loss=0.1025, rank=0.0299, reg=0.0727]
train epoch 1/1:  62%|██████▏   | 6732/10792 [45:41<26:30,  2.55it/s, loss=0.0665, rank=0.0366, reg=0.0299]
train epoch 1/1:  62%|██████▏   | 6733/10792 [45:41<27:35,  2.45it/s, loss=0.0665, rank=0.0366, reg=0.0299]
train epoch 1/1:  62%|██████▏   | 6733/10792 [45:41<27:35,  2.45it/s, loss=0.1077, rank=0.0550, reg=0.0526]
train epoch 1/1:  62%|██████▏   | 6734/10792 [45:41<22:48,  2.96it/s, loss=0.1077, rank=0.0550, reg=0.0526]
train epoch 1/1:  62%|██████▏   | 6734/10792 [45:42<22:48,  2.96it/s, loss=0.0742, rank=0.0631, reg=0.0111]
train epoch 1/1:  62%|██████▏   | 6735/10792 [45:42<31:04,  2.18it/s, loss=0.0742, rank=0.0631, reg=0.0111]
train epoch 1/1:  62%|██████▏   | 6735/10792 [45:42<31:04,  2.18it/s, loss=0.0668, rank=0.0488, reg=0.0180]
train epoch 1/1:  62%|██████▏   | 6736/10792 [45:42<31:00,  2.18it/s, loss=0.0668, rank=0.0488, reg=0.0180]
train epoch 1/1:  62%|██████▏   | 6736/10792 [45:42<31:00,  2.18it/s, loss=0.0754, rank=0.0213, reg=0.0541]
train epoch 1/1:  62%|██████▏   | 6737/10792 [45:42<28:36,  2.36it/s, loss=0.0754, rank=0.0213, reg=0.0541]
train epoch 1/1:  62%|██████▏   | 6737/10792 [45:43<28:36,  2.36it/s, loss=0.0753, rank=0.0313, reg=0.0440]
train epoch 1/1:  62%|██████▏   | 6738/10792 [45:43<27:57,  2.42it/s, loss=0.0753, rank=0.0313, reg=0.0440]
train epoch 1/1:  62%|██████▏   | 6738/10792 [45:43<27:57,  2.42it/s, loss=0.1087, rank=0.0582, reg=0.0505]
train epoch 1/1:  62%|██████▏   | 6739/10792 [45:43<23:00,  2.94it/s, loss=0.1087, rank=0.0582, reg=0.0505]
train epoch 1/1:  62%|██████▏   | 6739/10792 [45:44<23:00,  2.94it/s, loss=0.0410, rank=0.0123, reg=0.0286]
train epoch 1/1:  62%|██████▏   | 6740/10792 [45:44<42:07,  1.60it/s, loss=0.0410, rank=0.0123, reg=0.0286]
train epoch 1/1:  62%|██████▏   | 6740/10792 [45:45<42:07,  1.60it/s, loss=0.0880, rank=0.0173, reg=0.0707]
train epoch 1/1:  62%|██████▏   | 6741/10792 [45:45<37:24,  1.80it/s, loss=0.0880, rank=0.0173, reg=0.0707]
train epoch 1/1:  62%|██████▏   | 6741/10792 [45:45<37:24,  1.80it/s, loss=0.1548, rank=0.0308, reg=0.1240]
train epoch 1/1:  62%|██████▏   | 6742/10792 [45:45<30:57,  2.18it/s, loss=0.1548, rank=0.0308, reg=0.1240]
train epoch 1/1:  62%|██████▏   | 6742/10792 [45:46<30:57,  2.18it/s, loss=0.0725, rank=0.0415, reg=0.0310]
train epoch 1/1:  62%|██████▏   | 6743/10792 [45:46<36:31,  1.85it/s, loss=0.0725, rank=0.0415, reg=0.0310]
train epoch 1/1:  62%|██████▏   | 6743/10792 [45:46<36:31,  1.85it/s, loss=0.1628, rank=0.0571, reg=0.1057]
train epoch 1/1:  62%|██████▏   | 6744/10792 [45:46<32:45,  2.06it/s, loss=0.1628, rank=0.0571, reg=0.1057]
train epoch 1/1:  62%|██████▏   | 6744/10792 [45:46<32:45,  2.06it/s, loss=0.0420, rank=0.0199, reg=0.0221]
train epoch 1/1:  62%|██████▎   | 6745/10792 [45:46<32:12,  2.09it/s, loss=0.0420, rank=0.0199, reg=0.0221]
train epoch 1/1:  62%|██████▎   | 6745/10792 [45:47<32:12,  2.09it/s, loss=0.0946, rank=0.0262, reg=0.0684]
train epoch 1/1:  63%|██████▎   | 6746/10792 [45:47<31:57,  2.11it/s, loss=0.0946, rank=0.0262, reg=0.0684]
train epoch 1/1:  63%|██████▎   | 6746/10792 [45:47<31:57,  2.11it/s, loss=0.0793, rank=0.0230, reg=0.0564]
train epoch 1/1:  63%|██████▎   | 6747/10792 [45:47<27:05,  2.49it/s, loss=0.0793, rank=0.0230, reg=0.0564]
train epoch 1/1:  63%|██████▎   | 6747/10792 [45:48<27:05,  2.49it/s, loss=0.0388, rank=0.0018, reg=0.0370]
train epoch 1/1:  63%|██████▎   | 6748/10792 [45:48<28:50,  2.34it/s, loss=0.0388, rank=0.0018, reg=0.0370]
train epoch 1/1:  63%|██████▎   | 6748/10792 [45:48<28:50,  2.34it/s, loss=0.0577, rank=0.0471, reg=0.0105]
train epoch 1/1:  63%|██████▎   | 6749/10792 [45:48<28:51,  2.33it/s, loss=0.0577, rank=0.0471, reg=0.0105]
train epoch 1/1:  63%|██████▎   | 6749/10792 [45:48<28:51,  2.33it/s, loss=0.1551, rank=0.0866, reg=0.0684]
train epoch 1/1:  63%|██████▎   | 6750/10792 [45:48<24:17,  2.77it/s, loss=0.1551, rank=0.0866, reg=0.0684]
train epoch 1/1:  63%|██████▎   | 6750/10792 [45:49<24:17,  2.77it/s, loss=0.0360, rank=0.0153, reg=0.0207]
train epoch 1/1:  63%|██████▎   | 6751/10792 [45:49<28:11,  2.39it/s, loss=0.0360, rank=0.0153, reg=0.0207]
train epoch 1/1:  63%|██████▎   | 6751/10792 [45:50<28:11,  2.39it/s, loss=0.0821, rank=0.0629, reg=0.0192]
train epoch 1/1:  63%|██████▎   | 6752/10792 [45:50<38:07,  1.77it/s, loss=0.0821, rank=0.0629, reg=0.0192]
train epoch 1/1:  63%|██████▎   | 6752/10792 [45:50<38:07,  1.77it/s, loss=0.0331, rank=0.0000, reg=0.0331]
train epoch 1/1:  63%|██████▎   | 6753/10792 [45:50<39:20,  1.71it/s, loss=0.0331, rank=0.0000, reg=0.0331]
train epoch 1/1:  63%|██████▎   | 6753/10792 [45:51<39:20,  1.71it/s, loss=0.0748, rank=0.0123, reg=0.0625]
train epoch 1/1:  63%|██████▎   | 6754/10792 [45:51<36:45,  1.83it/s, loss=0.0748, rank=0.0123, reg=0.0625]
train epoch 1/1:  63%|██████▎   | 6754/10792 [45:51<36:45,  1.83it/s, loss=0.1102, rank=0.0376, reg=0.0727]
train epoch 1/1:  63%|██████▎   | 6755/10792 [45:51<38:50,  1.73it/s, loss=0.1102, rank=0.0376, reg=0.0727]
train epoch 1/1:  63%|██████▎   | 6755/10792 [45:52<38:50,  1.73it/s, loss=0.1265, rank=0.0973, reg=0.0292]
train epoch 1/1:  63%|██████▎   | 6756/10792 [45:52<31:47,  2.12it/s, loss=0.1265, rank=0.0973, reg=0.0292]
train epoch 1/1:  63%|██████▎   | 6756/10792 [45:52<31:47,  2.12it/s, loss=0.0667, rank=0.0000, reg=0.0667]
train epoch 1/1:  63%|██████▎   | 6757/10792 [45:52<31:23,  2.14it/s, loss=0.0667, rank=0.0000, reg=0.0667]
train epoch 1/1:  63%|██████▎   | 6757/10792 [45:53<31:23,  2.14it/s, loss=0.1008, rank=0.0286, reg=0.0723]
train epoch 1/1:  63%|██████▎   | 6758/10792 [45:53<35:38,  1.89it/s, loss=0.1008, rank=0.0286, reg=0.0723]
train epoch 1/1:  63%|██████▎   | 6758/10792 [45:53<35:38,  1.89it/s, loss=0.0210, rank=0.0000, reg=0.0210]
train epoch 1/1:  63%|██████▎   | 6759/10792 [45:53<30:19,  2.22it/s, loss=0.0210, rank=0.0000, reg=0.0210]
train epoch 1/1:  63%|██████▎   | 6759/10792 [45:54<30:19,  2.22it/s, loss=0.0603, rank=0.0467, reg=0.0136]
train epoch 1/1:  63%|██████▎   | 6760/10792 [45:54<39:21,  1.71it/s, loss=0.0603, rank=0.0467, reg=0.0136]
train epoch 1/1:  63%|██████▎   | 6760/10792 [45:55<39:21,  1.71it/s, loss=0.0393, rank=0.0014, reg=0.0379]
train epoch 1/1:  63%|██████▎   | 6761/10792 [45:55<54:13,  1.24it/s, loss=0.0393, rank=0.0014, reg=0.0379]
train epoch 1/1:  63%|██████▎   | 6761/10792 [45:55<54:13,  1.24it/s, loss=0.0825, rank=0.0388, reg=0.0436]
train epoch 1/1:  63%|██████▎   | 6762/10792 [45:55<42:06,  1.60it/s, loss=0.0825, rank=0.0388, reg=0.0436]
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train epoch 1/1:  63%|██████▎   | 6763/10792 [45:56<46:51,  1.43it/s, loss=0.0304, rank=0.0241, reg=0.0063]
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train epoch 1/1:  63%|██████▎   | 6767/10792 [45:58<30:54,  2.17it/s, loss=0.1495, rank=0.0461, reg=0.1034]
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train epoch 1/1:  63%|██████▎   | 6784/10792 [46:06<26:34,  2.51it/s, loss=0.0625, rank=0.0331, reg=0.0294]
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train epoch 1/1:  63%|██████▎   | 6785/10792 [46:06<22:46,  2.93it/s, loss=0.0698, rank=0.0428, reg=0.0269]
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train epoch 1/1:  63%|██████▎   | 6786/10792 [46:06<26:01,  2.57it/s, loss=0.1278, rank=0.0874, reg=0.0404]
train epoch 1/1:  63%|██████▎   | 6787/10792 [46:06<23:39,  2.82it/s, loss=0.1278, rank=0.0874, reg=0.0404]
train epoch 1/1:  63%|██████▎   | 6787/10792 [46:07<23:39,  2.82it/s, loss=0.0613, rank=0.0125, reg=0.0488]
train epoch 1/1:  63%|██████▎   | 6788/10792 [46:07<21:20,  3.13it/s, loss=0.0613, rank=0.0125, reg=0.0488]
train epoch 1/1:  63%|██████▎   | 6788/10792 [46:07<21:20,  3.13it/s, loss=0.1593, rank=0.0250, reg=0.1343]
train epoch 1/1:  63%|██████▎   | 6789/10792 [46:07<24:25,  2.73it/s, loss=0.1593, rank=0.0250, reg=0.1343]
train epoch 1/1:  63%|██████▎   | 6789/10792 [46:07<24:25,  2.73it/s, loss=0.0430, rank=0.0229, reg=0.0201]
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train epoch 1/1:  63%|██████▎   | 6790/10792 [46:08<21:05,  3.16it/s, loss=0.0619, rank=0.0198, reg=0.0421]
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train epoch 1/1:  63%|██████▎   | 6791/10792 [46:09<32:19,  2.06it/s, loss=0.0372, rank=0.0277, reg=0.0095]
train epoch 1/1:  63%|██████▎   | 6792/10792 [46:09<33:38,  1.98it/s, loss=0.0372, rank=0.0277, reg=0.0095]
train epoch 1/1:  63%|██████▎   | 6792/10792 [46:09<33:38,  1.98it/s, loss=0.0669, rank=0.0121, reg=0.0548]
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train epoch 1/1:  63%|██████▎   | 6793/10792 [46:10<33:47,  1.97it/s, loss=0.0776, rank=0.0540, reg=0.0236]
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train epoch 1/1:  63%|██████▎   | 6794/10792 [46:10<29:40,  2.24it/s, loss=0.0364, rank=0.0213, reg=0.0150]
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train epoch 1/1:  63%|██████▎   | 6795/10792 [46:10<26:00,  2.56it/s, loss=0.1430, rank=0.0770, reg=0.0660]
train epoch 1/1:  63%|██████▎   | 6796/10792 [46:10<20:57,  3.18it/s, loss=0.1430, rank=0.0770, reg=0.0660]
train epoch 1/1:  63%|██████▎   | 6796/10792 [46:10<20:57,  3.18it/s, loss=0.0621, rank=0.0278, reg=0.0343]
train epoch 1/1:  63%|██████▎   | 6797/10792 [46:10<18:57,  3.51it/s, loss=0.0621, rank=0.0278, reg=0.0343]
train epoch 1/1:  63%|██████▎   | 6797/10792 [46:10<18:57,  3.51it/s, loss=0.0784, rank=0.0548, reg=0.0236]
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train epoch 1/1:  63%|██████▎   | 6799/10792 [46:11<26:04,  2.55it/s, loss=0.0557, rank=0.0325, reg=0.0232]
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train epoch 1/1:  63%|██████▎   | 6800/10792 [46:12<23:43,  2.80it/s, loss=0.0476, rank=0.0311, reg=0.0165]
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train epoch 1/1:  63%|██████▎   | 6801/10792 [46:12<26:55,  2.47it/s, loss=0.0281, rank=0.0125, reg=0.0157]
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train epoch 1/1:  63%|██████▎   | 6803/10792 [46:13<25:34,  2.60it/s, loss=0.0701, rank=0.0549, reg=0.0152]
train epoch 1/1:  63%|██████▎   | 6804/10792 [46:13<33:50,  1.96it/s, loss=0.0701, rank=0.0549, reg=0.0152]
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train epoch 1/1:  63%|██████▎   | 6805/10792 [46:14<29:33,  2.25it/s, loss=0.0533, rank=0.0205, reg=0.0328]
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train epoch 1/1:  63%|██████▎   | 6806/10792 [46:14<30:51,  2.15it/s, loss=0.0513, rank=0.0286, reg=0.0227]
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train epoch 1/1:  63%|██████▎   | 6807/10792 [46:15<26:01,  2.55it/s, loss=0.0599, rank=0.0286, reg=0.0313]
train epoch 1/1:  63%|██████▎   | 6808/10792 [46:15<25:07,  2.64it/s, loss=0.0599, rank=0.0286, reg=0.0313]
train epoch 1/1:  63%|██████▎   | 6808/10792 [46:15<25:07,  2.64it/s, loss=0.0594, rank=0.0546, reg=0.0049]
train epoch 1/1:  63%|██████▎   | 6809/10792 [46:15<25:19,  2.62it/s, loss=0.0594, rank=0.0546, reg=0.0049]
train epoch 1/1:  63%|██████▎   | 6809/10792 [46:15<25:19,  2.62it/s, loss=0.0907, rank=0.0427, reg=0.0480]
train epoch 1/1:  63%|██████▎   | 6810/10792 [46:15<20:20,  3.26it/s, loss=0.0907, rank=0.0427, reg=0.0480]
train epoch 1/1:  63%|██████▎   | 6810/10792 [46:16<20:20,  3.26it/s, loss=0.0618, rank=0.0419, reg=0.0199]
train epoch 1/1:  63%|██████▎   | 6811/10792 [46:16<29:52,  2.22it/s, loss=0.0618, rank=0.0419, reg=0.0199]
train epoch 1/1:  63%|██████▎   | 6811/10792 [46:16<29:52,  2.22it/s, loss=0.0632, rank=0.0195, reg=0.0437]
train epoch 1/1:  63%|██████▎   | 6812/10792 [46:16<25:27,  2.61it/s, loss=0.0632, rank=0.0195, reg=0.0437]
train epoch 1/1:  63%|██████▎   | 6812/10792 [46:17<25:27,  2.61it/s, loss=0.0342, rank=0.0171, reg=0.0171]
train epoch 1/1:  63%|██████▎   | 6813/10792 [46:17<25:35,  2.59it/s, loss=0.0342, rank=0.0171, reg=0.0171]
train epoch 1/1:  63%|██████▎   | 6813/10792 [46:17<25:35,  2.59it/s, loss=0.1064, rank=0.0323, reg=0.0741]
train epoch 1/1:  63%|██████▎   | 6814/10792 [46:17<33:45,  1.96it/s, loss=0.1064, rank=0.0323, reg=0.0741]
train epoch 1/1:  63%|██████▎   | 6814/10792 [46:18<33:45,  1.96it/s, loss=0.0858, rank=0.0548, reg=0.0310]
train epoch 1/1:  63%|██████▎   | 6815/10792 [46:18<28:06,  2.36it/s, loss=0.0858, rank=0.0548, reg=0.0310]
train epoch 1/1:  63%|██████▎   | 6815/10792 [46:18<28:06,  2.36it/s, loss=0.0564, rank=0.0286, reg=0.0277]
train epoch 1/1:  63%|██████▎   | 6816/10792 [46:18<28:40,  2.31it/s, loss=0.0564, rank=0.0286, reg=0.0277]
train epoch 1/1:  63%|██████▎   | 6816/10792 [46:18<28:40,  2.31it/s, loss=0.0981, rank=0.0652, reg=0.0330]
train epoch 1/1:  63%|██████▎   | 6817/10792 [46:18<23:58,  2.76it/s, loss=0.0981, rank=0.0652, reg=0.0330]
train epoch 1/1:  63%|██████▎   | 6817/10792 [46:19<23:58,  2.76it/s, loss=0.0861, rank=0.0581, reg=0.0280]
train epoch 1/1:  63%|██████▎   | 6818/10792 [46:19<22:56,  2.89it/s, loss=0.0861, rank=0.0581, reg=0.0280]
train epoch 1/1:  63%|██████▎   | 6818/10792 [46:19<22:56,  2.89it/s, loss=0.0103, rank=0.0008, reg=0.0096]
train epoch 1/1:  63%|██████▎   | 6819/10792 [46:19<28:21,  2.33it/s, loss=0.0103, rank=0.0008, reg=0.0096]
train epoch 1/1:  63%|██████▎   | 6819/10792 [46:20<28:21,  2.33it/s, loss=0.0541, rank=0.0102, reg=0.0439]
train epoch 1/1:  63%|██████▎   | 6820/10792 [46:20<30:23,  2.18it/s, loss=0.0541, rank=0.0102, reg=0.0439]
train epoch 1/1:  63%|██████▎   | 6820/10792 [46:20<30:23,  2.18it/s, loss=0.0479, rank=0.0291, reg=0.0187]
train epoch 1/1:  63%|██████▎   | 6821/10792 [46:20<25:37,  2.58it/s, loss=0.0479, rank=0.0291, reg=0.0187]
train epoch 1/1:  63%|██████▎   | 6821/10792 [46:20<25:37,  2.58it/s, loss=0.1177, rank=0.0692, reg=0.0485]
train epoch 1/1:  63%|██████▎   | 6822/10792 [46:20<27:04,  2.44it/s, loss=0.1177, rank=0.0692, reg=0.0485]
train epoch 1/1:  63%|██████▎   | 6822/10792 [46:21<27:04,  2.44it/s, loss=0.1350, rank=0.0849, reg=0.0501]
train epoch 1/1:  63%|██████▎   | 6823/10792 [46:21<31:20,  2.11it/s, loss=0.1350, rank=0.0849, reg=0.0501]
train epoch 1/1:  63%|██████▎   | 6823/10792 [46:21<31:20,  2.11it/s, loss=0.0703, rank=0.0569, reg=0.0134]
train epoch 1/1:  63%|██████▎   | 6824/10792 [46:21<29:28,  2.24it/s, loss=0.0703, rank=0.0569, reg=0.0134]
train epoch 1/1:  63%|██████▎   | 6824/10792 [46:22<29:28,  2.24it/s, loss=0.0448, rank=0.0148, reg=0.0300]
train epoch 1/1:  63%|██████▎   | 6825/10792 [46:22<25:08,  2.63it/s, loss=0.0448, rank=0.0148, reg=0.0300]
train epoch 1/1:  63%|██████▎   | 6825/10792 [46:22<25:08,  2.63it/s, loss=0.1084, rank=0.0188, reg=0.0896]
train epoch 1/1:  63%|██████▎   | 6826/10792 [46:22<21:52,  3.02it/s, loss=0.1084, rank=0.0188, reg=0.0896]
train epoch 1/1:  63%|██████▎   | 6826/10792 [46:22<21:52,  3.02it/s, loss=0.1053, rank=0.0327, reg=0.0725]
train epoch 1/1:  63%|██████▎   | 6827/10792 [46:22<20:17,  3.26it/s, loss=0.1053, rank=0.0327, reg=0.0725]
train epoch 1/1:  63%|██████▎   | 6827/10792 [46:22<20:17,  3.26it/s, loss=0.0812, rank=0.0253, reg=0.0559]
train epoch 1/1:  63%|██████▎   | 6828/10792 [46:22<18:42,  3.53it/s, loss=0.0812, rank=0.0253, reg=0.0559]
train epoch 1/1:  63%|██████▎   | 6828/10792 [46:23<18:42,  3.53it/s, loss=0.0580, rank=0.0235, reg=0.0345]
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train epoch 1/1:  63%|██████▎   | 6831/10792 [46:23<19:32,  3.38it/s, loss=0.0862, rank=0.0668, reg=0.0193]
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train epoch 1/1:  63%|██████▎   | 6848/10792 [46:30<25:00,  2.63it/s, loss=0.0158, rank=0.0064, reg=0.0094]
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train epoch 1/1:  63%|██████▎   | 6849/10792 [46:31<20:31,  3.20it/s, loss=0.0848, rank=0.0491, reg=0.0357]
train epoch 1/1:  63%|██████▎   | 6850/10792 [46:31<26:05,  2.52it/s, loss=0.0848, rank=0.0491, reg=0.0357]
train epoch 1/1:  63%|██████▎   | 6850/10792 [46:31<26:05,  2.52it/s, loss=0.0749, rank=0.0596, reg=0.0153]
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train epoch 1/1:  63%|██████▎   | 6851/10792 [46:32<21:59,  2.99it/s, loss=0.0913, rank=0.0264, reg=0.0649]
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train epoch 1/1:  64%|██████▎   | 6856/10792 [46:34<36:18,  1.81it/s, loss=0.1070, rank=0.0774, reg=0.0296]
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train epoch 1/1:  64%|██████▎   | 6857/10792 [46:35<29:11,  2.25it/s, loss=0.0700, rank=0.0308, reg=0.0393]
train epoch 1/1:  64%|██████▎   | 6858/10792 [46:35<26:28,  2.48it/s, loss=0.0700, rank=0.0308, reg=0.0393]
train epoch 1/1:  64%|██████▎   | 6858/10792 [46:35<26:28,  2.48it/s, loss=0.1043, rank=0.0708, reg=0.0335]
train epoch 1/1:  64%|██████▎   | 6859/10792 [46:35<24:00,  2.73it/s, loss=0.1043, rank=0.0708, reg=0.0335]
train epoch 1/1:  64%|██████▎   | 6859/10792 [46:36<24:00,  2.73it/s, loss=0.1325, rank=0.1139, reg=0.0186]
train epoch 1/1:  64%|██████▎   | 6860/10792 [46:36<33:08,  1.98it/s, loss=0.1325, rank=0.1139, reg=0.0186]
train epoch 1/1:  64%|██████▎   | 6860/10792 [46:36<33:08,  1.98it/s, loss=0.0603, rank=0.0409, reg=0.0194]
train epoch 1/1:  64%|██████▎   | 6861/10792 [46:36<26:56,  2.43it/s, loss=0.0603, rank=0.0409, reg=0.0194]
train epoch 1/1:  64%|██████▎   | 6861/10792 [46:37<26:56,  2.43it/s, loss=0.0836, rank=0.0096, reg=0.0739]
train epoch 1/1:  64%|██████▎   | 6862/10792 [46:37<27:18,  2.40it/s, loss=0.0836, rank=0.0096, reg=0.0739]
train epoch 1/1:  64%|██████▎   | 6862/10792 [46:37<27:18,  2.40it/s, loss=0.1024, rank=0.0616, reg=0.0407]
train epoch 1/1:  64%|██████▎   | 6863/10792 [46:37<27:41,  2.36it/s, loss=0.1024, rank=0.0616, reg=0.0407]
train epoch 1/1:  64%|██████▎   | 6863/10792 [46:37<27:41,  2.36it/s, loss=0.0874, rank=0.0533, reg=0.0340]
train epoch 1/1:  64%|██████▎   | 6864/10792 [46:37<25:15,  2.59it/s, loss=0.0874, rank=0.0533, reg=0.0340]
train epoch 1/1:  64%|██████▎   | 6864/10792 [46:38<25:15,  2.59it/s, loss=0.1818, rank=0.0621, reg=0.1197]
train epoch 1/1:  64%|██████▎   | 6865/10792 [46:38<34:49,  1.88it/s, loss=0.1818, rank=0.0621, reg=0.1197]
train epoch 1/1:  64%|██████▎   | 6865/10792 [46:38<34:49,  1.88it/s, loss=0.0934, rank=0.0592, reg=0.0342]
train epoch 1/1:  64%|██████▎   | 6866/10792 [46:38<27:21,  2.39it/s, loss=0.0934, rank=0.0592, reg=0.0342]
train epoch 1/1:  64%|██████▎   | 6866/10792 [46:39<27:21,  2.39it/s, loss=0.0403, rank=0.0205, reg=0.0198]
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train epoch 1/1:  64%|██████▎   | 6867/10792 [46:39<25:21,  2.58it/s, loss=0.1061, rank=0.0656, reg=0.0404]
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train epoch 1/1:  64%|██████▎   | 6868/10792 [46:39<24:19,  2.69it/s, loss=0.1012, rank=0.0648, reg=0.0365]
train epoch 1/1:  64%|██████▎   | 6869/10792 [46:39<22:35,  2.89it/s, loss=0.1012, rank=0.0648, reg=0.0365]
train epoch 1/1:  64%|██████▎   | 6869/10792 [46:39<22:35,  2.89it/s, loss=0.0916, rank=0.0298, reg=0.0618]
train epoch 1/1:  64%|██████▎   | 6870/10792 [46:39<19:17,  3.39it/s, loss=0.0916, rank=0.0298, reg=0.0618]
train epoch 1/1:  64%|██████▎   | 6870/10792 [46:40<19:17,  3.39it/s, loss=0.0828, rank=0.0599, reg=0.0229]
train epoch 1/1:  64%|██████▎   | 6871/10792 [46:40<16:28,  3.97it/s, loss=0.0828, rank=0.0599, reg=0.0229]
train epoch 1/1:  64%|██████▎   | 6871/10792 [46:40<16:28,  3.97it/s, loss=0.1266, rank=0.0401, reg=0.0865]
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train epoch 1/1:  64%|██████▎   | 6872/10792 [46:40<16:30,  3.96it/s, loss=0.0496, rank=0.0351, reg=0.0145]
train epoch 1/1:  64%|██████▎   | 6873/10792 [46:40<15:14,  4.28it/s, loss=0.0496, rank=0.0351, reg=0.0145]
train epoch 1/1:  64%|██████▎   | 6873/10792 [46:40<15:14,  4.28it/s, loss=0.1010, rank=0.0326, reg=0.0683]
train epoch 1/1:  64%|██████▎   | 6874/10792 [46:40<15:20,  4.26it/s, loss=0.1010, rank=0.0326, reg=0.0683]
train epoch 1/1:  64%|██████▎   | 6874/10792 [46:41<15:20,  4.26it/s, loss=0.1330, rank=0.0326, reg=0.1005]
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train epoch 1/1:  64%|██████▎   | 6875/10792 [46:41<16:43,  3.90it/s, loss=0.1002, rank=0.0862, reg=0.0140]
train epoch 1/1:  64%|██████▎   | 6876/10792 [46:41<18:39,  3.50it/s, loss=0.1002, rank=0.0862, reg=0.0140]
train epoch 1/1:  64%|██████▎   | 6876/10792 [46:41<18:39,  3.50it/s, loss=0.0357, rank=0.0290, reg=0.0067]
train epoch 1/1:  64%|██████▎   | 6877/10792 [46:41<21:03,  3.10it/s, loss=0.0357, rank=0.0290, reg=0.0067]
train epoch 1/1:  64%|██████▎   | 6877/10792 [46:42<21:03,  3.10it/s, loss=0.0786, rank=0.0221, reg=0.0565]
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train epoch 1/1:  64%|██████▎   | 6879/10792 [46:42<21:58,  2.97it/s, loss=0.0673, rank=0.0252, reg=0.0420]
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train epoch 1/1:  64%|██████▍   | 6881/10792 [46:44<31:08,  2.09it/s, loss=0.0695, rank=0.0621, reg=0.0074]
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train epoch 1/1:  64%|██████▍   | 6882/10792 [46:44<29:41,  2.19it/s, loss=0.1141, rank=0.0742, reg=0.0399]
train epoch 1/1:  64%|██████▍   | 6883/10792 [46:44<27:21,  2.38it/s, loss=0.1141, rank=0.0742, reg=0.0399]
train epoch 1/1:  64%|██████▍   | 6883/10792 [46:44<27:21,  2.38it/s, loss=0.0858, rank=0.0553, reg=0.0305]
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train epoch 1/1:  64%|██████▍   | 6885/10792 [46:45<22:23,  2.91it/s, loss=0.2298, rank=0.0601, reg=0.1697]
train epoch 1/1:  64%|██████▍   | 6886/10792 [46:45<22:19,  2.92it/s, loss=0.2298, rank=0.0601, reg=0.1697]
train epoch 1/1:  64%|██████▍   | 6886/10792 [46:45<22:19,  2.92it/s, loss=0.1357, rank=0.1046, reg=0.0311]
train epoch 1/1:  64%|██████▍   | 6887/10792 [46:45<20:11,  3.22it/s, loss=0.1357, rank=0.1046, reg=0.0311]
train epoch 1/1:  64%|██████▍   | 6887/10792 [46:45<20:11,  3.22it/s, loss=0.1226, rank=0.0621, reg=0.0605]
train epoch 1/1:  64%|██████▍   | 6888/10792 [46:45<17:26,  3.73it/s, loss=0.1226, rank=0.0621, reg=0.0605]
train epoch 1/1:  64%|██████▍   | 6888/10792 [46:46<17:26,  3.73it/s, loss=0.1360, rank=0.0387, reg=0.0974]
train epoch 1/1:  64%|██████▍   | 6889/10792 [46:46<28:02,  2.32it/s, loss=0.1360, rank=0.0387, reg=0.0974]
train epoch 1/1:  64%|██████▍   | 6889/10792 [46:46<28:02,  2.32it/s, loss=0.0886, rank=0.0705, reg=0.0180]
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train epoch 1/1:  64%|██████▍   | 6890/10792 [46:47<22:30,  2.89it/s, loss=0.2019, rank=0.0303, reg=0.1716]
train epoch 1/1:  64%|██████▍   | 6891/10792 [46:47<24:28,  2.66it/s, loss=0.2019, rank=0.0303, reg=0.1716]
train epoch 1/1:  64%|██████▍   | 6891/10792 [46:47<24:28,  2.66it/s, loss=0.0824, rank=0.0662, reg=0.0162]
train epoch 1/1:  64%|██████▍   | 6892/10792 [46:47<21:35,  3.01it/s, loss=0.0824, rank=0.0662, reg=0.0162]
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train epoch 1/1:  64%|██████▍   | 6897/10792 [46:49<21:42,  2.99it/s, loss=0.0924, rank=0.0612, reg=0.0312]
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train epoch 1/1:  64%|██████▍   | 6900/10792 [46:51<24:22,  2.66it/s, loss=0.0701, rank=0.0146, reg=0.0555]
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train epoch 1/1:  64%|██████▍   | 6907/10792 [46:54<32:14,  2.01it/s, loss=0.1435, rank=0.0575, reg=0.0861]
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train epoch 1/1:  64%|██████▍   | 6908/10792 [46:54<29:01,  2.23it/s, loss=0.1232, rank=0.0312, reg=0.0920]
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train epoch 1/1:  64%|██████▍   | 6914/10792 [46:56<24:46,  2.61it/s, loss=0.0878, rank=0.0466, reg=0.0412]
train epoch 1/1:  64%|██████▍   | 6914/10792 [46:56<24:46,  2.61it/s, loss=0.1519, rank=0.0776, reg=0.0742]
train epoch 1/1:  64%|██████▍   | 6915/10792 [46:56<20:13,  3.19it/s, loss=0.1519, rank=0.0776, reg=0.0742]
train epoch 1/1:  64%|██████▍   | 6915/10792 [46:56<20:13,  3.19it/s, loss=0.0720, rank=0.0434, reg=0.0286]
train epoch 1/1:  64%|██████▍   | 6916/10792 [46:56<17:55,  3.60it/s, loss=0.0720, rank=0.0434, reg=0.0286]
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train epoch 1/1:  64%|██████▍   | 6919/10792 [46:58<17:22,  3.71it/s, loss=0.0723, rank=0.0379, reg=0.0344]
train epoch 1/1:  64%|██████▍   | 6920/10792 [46:58<17:51,  3.61it/s, loss=0.0723, rank=0.0379, reg=0.0344]
train epoch 1/1:  64%|██████▍   | 6920/10792 [46:58<17:51,  3.61it/s, loss=0.0926, rank=0.0345, reg=0.0581]
train epoch 1/1:  64%|██████▍   | 6921/10792 [46:58<19:02,  3.39it/s, loss=0.0926, rank=0.0345, reg=0.0581]
train epoch 1/1:  64%|██████▍   | 6921/10792 [46:58<19:02,  3.39it/s, loss=0.1209, rank=0.0853, reg=0.0356]
train epoch 1/1:  64%|██████▍   | 6922/10792 [46:58<19:40,  3.28it/s, loss=0.1209, rank=0.0853, reg=0.0356]
train epoch 1/1:  64%|██████▍   | 6922/10792 [46:58<19:40,  3.28it/s, loss=0.2597, rank=0.1177, reg=0.1419]
train epoch 1/1:  64%|██████▍   | 6923/10792 [46:58<19:18,  3.34it/s, loss=0.2597, rank=0.1177, reg=0.1419]
train epoch 1/1:  64%|██████▍   | 6923/10792 [46:59<19:18,  3.34it/s, loss=0.0943, rank=0.0302, reg=0.0641]
train epoch 1/1:  64%|██████▍   | 6924/10792 [46:59<17:27,  3.69it/s, loss=0.0943, rank=0.0302, reg=0.0641]
train epoch 1/1:  64%|██████▍   | 6924/10792 [46:59<17:27,  3.69it/s, loss=0.0462, rank=0.0204, reg=0.0258]
train epoch 1/1:  64%|██████▍   | 6925/10792 [46:59<15:55,  4.05it/s, loss=0.0462, rank=0.0204, reg=0.0258]
train epoch 1/1:  64%|██████▍   | 6925/10792 [46:59<15:55,  4.05it/s, loss=0.0488, rank=0.0393, reg=0.0095]
train epoch 1/1:  64%|██████▍   | 6926/10792 [46:59<18:56,  3.40it/s, loss=0.0488, rank=0.0393, reg=0.0095]
train epoch 1/1:  64%|██████▍   | 6926/10792 [46:59<18:56,  3.40it/s, loss=0.1198, rank=0.0488, reg=0.0710]
train epoch 1/1:  64%|██████▍   | 6927/10792 [46:59<17:11,  3.75it/s, loss=0.1198, rank=0.0488, reg=0.0710]
train epoch 1/1:  64%|██████▍   | 6927/10792 [47:00<17:11,  3.75it/s, loss=0.0629, rank=0.0439, reg=0.0190]
train epoch 1/1:  64%|██████▍   | 6928/10792 [47:00<26:27,  2.43it/s, loss=0.0629, rank=0.0439, reg=0.0190]
train epoch 1/1:  64%|██████▍   | 6928/10792 [47:00<26:27,  2.43it/s, loss=0.0364, rank=0.0223, reg=0.0141]
train epoch 1/1:  64%|██████▍   | 6929/10792 [47:00<22:37,  2.85it/s, loss=0.0364, rank=0.0223, reg=0.0141]
train epoch 1/1:  64%|██████▍   | 6929/10792 [47:01<22:37,  2.85it/s, loss=0.1114, rank=0.0302, reg=0.0812]
train epoch 1/1:  64%|██████▍   | 6930/10792 [47:01<20:28,  3.14it/s, loss=0.1114, rank=0.0302, reg=0.0812]
train epoch 1/1:  64%|██████▍   | 6930/10792 [47:01<20:28,  3.14it/s, loss=0.1263, rank=0.0833, reg=0.0430]
train epoch 1/1:  64%|██████▍   | 6931/10792 [47:01<16:39,  3.86it/s, loss=0.1263, rank=0.0833, reg=0.0430]
train epoch 1/1:  64%|██████▍   | 6931/10792 [47:01<16:39,  3.86it/s, loss=0.0404, rank=0.0307, reg=0.0096]
train epoch 1/1:  64%|██████▍   | 6932/10792 [47:01<16:56,  3.80it/s, loss=0.0404, rank=0.0307, reg=0.0096]
train epoch 1/1:  64%|██████▍   | 6932/10792 [47:01<16:56,  3.80it/s, loss=0.0490, rank=0.0339, reg=0.0151]
train epoch 1/1:  64%|██████▍   | 6933/10792 [47:01<16:16,  3.95it/s, loss=0.0490, rank=0.0339, reg=0.0151]
train epoch 1/1:  64%|██████▍   | 6933/10792 [47:02<16:16,  3.95it/s, loss=0.1215, rank=0.0311, reg=0.0904]
train epoch 1/1:  64%|██████▍   | 6934/10792 [47:02<30:27,  2.11it/s, loss=0.1215, rank=0.0311, reg=0.0904]
train epoch 1/1:  64%|██████▍   | 6934/10792 [47:03<30:27,  2.11it/s, loss=0.1343, rank=0.0854, reg=0.0489]
train epoch 1/1:  64%|██████▍   | 6935/10792 [47:03<26:49,  2.40it/s, loss=0.1343, rank=0.0854, reg=0.0489]
train epoch 1/1:  64%|██████▍   | 6935/10792 [47:03<26:49,  2.40it/s, loss=0.0658, rank=0.0607, reg=0.0051]
train epoch 1/1:  64%|██████▍   | 6936/10792 [47:03<33:21,  1.93it/s, loss=0.0658, rank=0.0607, reg=0.0051]
train epoch 1/1:  64%|██████▍   | 6936/10792 [47:04<33:21,  1.93it/s, loss=0.0449, rank=0.0313, reg=0.0136]
train epoch 1/1:  64%|██████▍   | 6937/10792 [47:04<29:12,  2.20it/s, loss=0.0449, rank=0.0313, reg=0.0136]
train epoch 1/1:  64%|██████▍   | 6937/10792 [47:04<29:12,  2.20it/s, loss=0.0673, rank=0.0286, reg=0.0388]
train epoch 1/1:  64%|██████▍   | 6938/10792 [47:04<28:24,  2.26it/s, loss=0.0673, rank=0.0286, reg=0.0388]
train epoch 1/1:  64%|██████▍   | 6938/10792 [47:05<28:24,  2.26it/s, loss=0.0522, rank=0.0188, reg=0.0334]
train epoch 1/1:  64%|██████▍   | 6939/10792 [47:05<31:08,  2.06it/s, loss=0.0522, rank=0.0188, reg=0.0334]
train epoch 1/1:  64%|██████▍   | 6939/10792 [47:06<31:08,  2.06it/s, loss=0.0923, rank=0.0451, reg=0.0471]
train epoch 1/1:  64%|██████▍   | 6940/10792 [47:06<47:28,  1.35it/s, loss=0.0923, rank=0.0451, reg=0.0471]
train epoch 1/1:  64%|██████▍   | 6940/10792 [47:06<47:28,  1.35it/s, loss=0.0241, rank=0.0124, reg=0.0117]
train epoch 1/1:  64%|██████▍   | 6941/10792 [47:06<37:47,  1.70it/s, loss=0.0241, rank=0.0124, reg=0.0117]
train epoch 1/1:  64%|██████▍   | 6941/10792 [47:07<37:47,  1.70it/s, loss=0.0456, rank=0.0317, reg=0.0139]
train epoch 1/1:  64%|██████▍   | 6942/10792 [47:07<34:10,  1.88it/s, loss=0.0456, rank=0.0317, reg=0.0139]
train epoch 1/1:  64%|██████▍   | 6942/10792 [47:07<34:10,  1.88it/s, loss=0.0738, rank=0.0354, reg=0.0383]
train epoch 1/1:  64%|██████▍   | 6943/10792 [47:07<27:55,  2.30it/s, loss=0.0738, rank=0.0354, reg=0.0383]
train epoch 1/1:  64%|██████▍   | 6943/10792 [47:07<27:55,  2.30it/s, loss=0.0444, rank=0.0247, reg=0.0197]
train epoch 1/1:  64%|██████▍   | 6944/10792 [47:07<24:28,  2.62it/s, loss=0.0444, rank=0.0247, reg=0.0197]
train epoch 1/1:  64%|██████▍   | 6944/10792 [47:07<24:28,  2.62it/s, loss=0.0782, rank=0.0575, reg=0.0207]
train epoch 1/1:  64%|██████▍   | 6945/10792 [47:07<20:08,  3.18it/s, loss=0.0782, rank=0.0575, reg=0.0207]
train epoch 1/1:  64%|██████▍   | 6945/10792 [47:08<20:08,  3.18it/s, loss=0.0940, rank=0.0519, reg=0.0421]
train epoch 1/1:  64%|██████▍   | 6946/10792 [47:08<22:36,  2.83it/s, loss=0.0940, rank=0.0519, reg=0.0421]
train epoch 1/1:  64%|██████▍   | 6946/10792 [47:08<22:36,  2.83it/s, loss=0.0798, rank=0.0386, reg=0.0411]
train epoch 1/1:  64%|██████▍   | 6947/10792 [47:08<25:42,  2.49it/s, loss=0.0798, rank=0.0386, reg=0.0411]
train epoch 1/1:  64%|██████▍   | 6947/10792 [47:08<25:42,  2.49it/s, loss=0.0413, rank=0.0244, reg=0.0169]
train epoch 1/1:  64%|██████▍   | 6948/10792 [47:08<22:22,  2.86it/s, loss=0.0413, rank=0.0244, reg=0.0169]
train epoch 1/1:  64%|██████▍   | 6948/10792 [47:09<22:22,  2.86it/s, loss=0.0804, rank=0.0486, reg=0.0318]
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train epoch 1/1:  64%|██████▍   | 6949/10792 [47:09<27:46,  2.31it/s, loss=0.0527, rank=0.0417, reg=0.0109]
train epoch 1/1:  64%|██████▍   | 6950/10792 [47:09<25:11,  2.54it/s, loss=0.0527, rank=0.0417, reg=0.0109]
train epoch 1/1:  64%|██████▍   | 6950/10792 [47:10<25:11,  2.54it/s, loss=0.0614, rank=0.0225, reg=0.0389]
train epoch 1/1:  64%|██████▍   | 6951/10792 [47:10<25:48,  2.48it/s, loss=0.0614, rank=0.0225, reg=0.0389]
train epoch 1/1:  64%|██████▍   | 6951/10792 [47:10<25:48,  2.48it/s, loss=0.0695, rank=0.0530, reg=0.0165]
train epoch 1/1:  64%|██████▍   | 6952/10792 [47:10<23:17,  2.75it/s, loss=0.0695, rank=0.0530, reg=0.0165]
train epoch 1/1:  64%|██████▍   | 6952/10792 [47:11<23:17,  2.75it/s, loss=0.0651, rank=0.0357, reg=0.0293]
train epoch 1/1:  64%|██████▍   | 6953/10792 [47:11<29:44,  2.15it/s, loss=0.0651, rank=0.0357, reg=0.0293]
train epoch 1/1:  64%|██████▍   | 6953/10792 [47:11<29:44,  2.15it/s, loss=0.0722, rank=0.0195, reg=0.0527]
train epoch 1/1:  64%|██████▍   | 6954/10792 [47:11<24:43,  2.59it/s, loss=0.0722, rank=0.0195, reg=0.0527]
train epoch 1/1:  64%|██████▍   | 6954/10792 [47:12<24:43,  2.59it/s, loss=0.0673, rank=0.0342, reg=0.0332]
train epoch 1/1:  64%|██████▍   | 6955/10792 [47:12<38:20,  1.67it/s, loss=0.0673, rank=0.0342, reg=0.0332]
train epoch 1/1:  64%|██████▍   | 6955/10792 [47:12<38:20,  1.67it/s, loss=0.1058, rank=0.0585, reg=0.0473]
train epoch 1/1:  64%|██████▍   | 6956/10792 [47:12<30:13,  2.12it/s, loss=0.1058, rank=0.0585, reg=0.0473]
train epoch 1/1:  64%|██████▍   | 6956/10792 [47:13<30:13,  2.12it/s, loss=0.0738, rank=0.0149, reg=0.0589]
train epoch 1/1:  64%|██████▍   | 6957/10792 [47:13<35:15,  1.81it/s, loss=0.0738, rank=0.0149, reg=0.0589]
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train epoch 1/1:  65%|██████▍   | 6983/10792 [47:23<19:38,  3.23it/s, loss=0.0776, rank=0.0701, reg=0.0075]
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train epoch 1/1:  65%|██████▍   | 6986/10792 [47:24<20:57,  3.03it/s, loss=0.0874, rank=0.0718, reg=0.0156]
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train epoch 1/1:  65%|██████▍   | 6988/10792 [47:25<22:05,  2.87it/s, loss=0.2009, rank=0.0695, reg=0.1314]
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train epoch 1/1:  65%|██████▍   | 6989/10792 [47:25<23:43,  2.67it/s, loss=0.1290, rank=0.0392, reg=0.0899]
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train epoch 1/1:  65%|██████▍   | 6991/10792 [47:25<17:17,  3.67it/s, loss=0.1609, rank=0.0732, reg=0.0877]
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train epoch 1/1:  65%|██████▍   | 6999/10792 [47:29<29:50,  2.12it/s, loss=0.0822, rank=0.0178, reg=0.0645]
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train epoch 1/1:  65%|██████▍   | 7006/10792 [47:33<30:28,  2.07it/s, loss=0.0635, rank=0.0446, reg=0.0189]
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train epoch 1/1:  65%|██████▌   | 7018/10792 [47:39<21:36,  2.91it/s, loss=0.0645, rank=0.0610, reg=0.0035]
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train epoch 1/1:  65%|██████▌   | 7023/10792 [47:40<24:50,  2.53it/s, loss=0.0698, rank=0.0245, reg=0.0453]
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train epoch 1/1:  65%|██████▌   | 7045/10792 [47:49<25:40,  2.43it/s, loss=0.0719, rank=0.0438, reg=0.0281]
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train epoch 1/1:  65%|██████▌   | 7049/10792 [47:51<31:44,  1.97it/s, loss=0.1002, rank=0.0506, reg=0.0496]
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train epoch 1/1:  65%|██████▌   | 7051/10792 [47:52<23:33,  2.65it/s, loss=0.0967, rank=0.0714, reg=0.0253]
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train epoch 1/1:  65%|██████▌   | 7053/10792 [47:52<28:25,  2.19it/s, loss=0.0622, rank=0.0231, reg=0.0391]
train epoch 1/1:  65%|██████▌   | 7053/10792 [47:53<28:25,  2.19it/s, loss=0.0521, rank=0.0413, reg=0.0108]
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train epoch 1/1:  65%|██████▌   | 7055/10792 [47:53<22:39,  2.75it/s, loss=0.0352, rank=0.0235, reg=0.0116]
train epoch 1/1:  65%|██████▌   | 7055/10792 [47:53<22:39,  2.75it/s, loss=0.0881, rank=0.0539, reg=0.0343]
train epoch 1/1:  65%|██████▌   | 7056/10792 [47:53<20:49,  2.99it/s, loss=0.0881, rank=0.0539, reg=0.0343]
train epoch 1/1:  65%|██████▌   | 7056/10792 [47:54<20:49,  2.99it/s, loss=0.0487, rank=0.0217, reg=0.0270]
train epoch 1/1:  65%|██████▌   | 7057/10792 [47:54<27:27,  2.27it/s, loss=0.0487, rank=0.0217, reg=0.0270]
train epoch 1/1:  65%|██████▌   | 7057/10792 [47:54<27:27,  2.27it/s, loss=0.0144, rank=0.0000, reg=0.0144]
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train epoch 1/1:  65%|██████▌   | 7058/10792 [47:55<22:50,  2.72it/s, loss=0.0417, rank=0.0128, reg=0.0290]
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train epoch 1/1:  65%|██████▌   | 7059/10792 [47:55<32:58,  1.89it/s, loss=0.0882, rank=0.0237, reg=0.0645]
train epoch 1/1:  65%|██████▌   | 7060/10792 [47:55<28:45,  2.16it/s, loss=0.0882, rank=0.0237, reg=0.0645]
train epoch 1/1:  65%|██████▌   | 7060/10792 [47:56<28:45,  2.16it/s, loss=0.1020, rank=0.0542, reg=0.0477]
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train epoch 1/1:  65%|██████▌   | 7061/10792 [47:56<33:43,  1.84it/s, loss=0.1362, rank=0.0793, reg=0.0569]
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train epoch 1/1:  65%|██████▌   | 7062/10792 [47:57<31:02,  2.00it/s, loss=0.0463, rank=0.0048, reg=0.0416]
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train epoch 1/1:  65%|██████▌   | 7063/10792 [47:57<26:14,  2.37it/s, loss=0.0329, rank=0.0000, reg=0.0329]
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train epoch 1/1:  65%|██████▌   | 7064/10792 [47:57<25:13,  2.46it/s, loss=0.0591, rank=0.0176, reg=0.0415]
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train epoch 1/1:  65%|██████▌   | 7065/10792 [47:58<21:51,  2.84it/s, loss=0.0830, rank=0.0394, reg=0.0436]
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train epoch 1/1:  65%|██████▌   | 7066/10792 [47:58<19:55,  3.12it/s, loss=0.1159, rank=0.0757, reg=0.0402]
train epoch 1/1:  65%|██████▌   | 7067/10792 [47:58<20:33,  3.02it/s, loss=0.1159, rank=0.0757, reg=0.0402]
train epoch 1/1:  65%|██████▌   | 7067/10792 [47:58<20:33,  3.02it/s, loss=0.0521, rank=0.0269, reg=0.0252]
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train epoch 1/1:  65%|██████▌   | 7068/10792 [47:59<24:34,  2.53it/s, loss=0.0425, rank=0.0205, reg=0.0220]
train epoch 1/1:  66%|██████▌   | 7069/10792 [47:59<23:28,  2.64it/s, loss=0.0425, rank=0.0205, reg=0.0220]
train epoch 1/1:  66%|██████▌   | 7069/10792 [47:59<23:28,  2.64it/s, loss=0.1195, rank=0.0814, reg=0.0381]
train epoch 1/1:  66%|██████▌   | 7070/10792 [47:59<21:12,  2.92it/s, loss=0.1195, rank=0.0814, reg=0.0381]
train epoch 1/1:  66%|██████▌   | 7070/10792 [47:59<21:12,  2.92it/s, loss=0.0911, rank=0.0445, reg=0.0465]
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train epoch 1/1:  66%|██████▌   | 7071/10792 [48:00<20:10,  3.07it/s, loss=0.0500, rank=0.0174, reg=0.0327]
train epoch 1/1:  66%|██████▌   | 7072/10792 [48:00<18:03,  3.43it/s, loss=0.0500, rank=0.0174, reg=0.0327]
train epoch 1/1:  66%|██████▌   | 7072/10792 [48:00<18:03,  3.43it/s, loss=0.0996, rank=0.0572, reg=0.0424]
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train epoch 1/1:  66%|██████▌   | 7073/10792 [48:01<28:24,  2.18it/s, loss=0.0979, rank=0.0605, reg=0.0373]
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train epoch 1/1:  66%|██████▌   | 7074/10792 [48:02<26:00,  2.38it/s, loss=0.0542, rank=0.0372, reg=0.0170]
train epoch 1/1:  66%|██████▌   | 7075/10792 [48:02<33:07,  1.87it/s, loss=0.0542, rank=0.0372, reg=0.0170]
train epoch 1/1:  66%|██████▌   | 7075/10792 [48:02<33:07,  1.87it/s, loss=0.0725, rank=0.0483, reg=0.0242]
train epoch 1/1:  66%|██████▌   | 7076/10792 [48:02<27:09,  2.28it/s, loss=0.0725, rank=0.0483, reg=0.0242]
train epoch 1/1:  66%|██████▌   | 7076/10792 [48:02<27:09,  2.28it/s, loss=0.0734, rank=0.0503, reg=0.0231]
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train epoch 1/1:  66%|██████▌   | 7077/10792 [48:02<23:31,  2.63it/s, loss=0.0658, rank=0.0508, reg=0.0150]
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train epoch 1/1:  66%|██████▌   | 7079/10792 [48:03<28:18,  2.19it/s, loss=0.0446, rank=0.0248, reg=0.0198]
train epoch 1/1:  66%|██████▌   | 7079/10792 [48:03<28:18,  2.19it/s, loss=0.0929, rank=0.0624, reg=0.0306]
train epoch 1/1:  66%|██████▌   | 7080/10792 [48:03<24:08,  2.56it/s, loss=0.0929, rank=0.0624, reg=0.0306]
train epoch 1/1:  66%|██████▌   | 7080/10792 [48:03<24:08,  2.56it/s, loss=0.1632, rank=0.0438, reg=0.1194]
train epoch 1/1:  66%|██████▌   | 7081/10792 [48:03<20:24,  3.03it/s, loss=0.1632, rank=0.0438, reg=0.1194]
train epoch 1/1:  66%|██████▌   | 7081/10792 [48:04<20:24,  3.03it/s, loss=0.0721, rank=0.0391, reg=0.0330]
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train epoch 1/1:  66%|██████▌   | 7082/10792 [48:05<25:32,  2.42it/s, loss=0.1004, rank=0.0373, reg=0.0631]
train epoch 1/1:  66%|██████▌   | 7083/10792 [48:05<33:33,  1.84it/s, loss=0.1004, rank=0.0373, reg=0.0631]
train epoch 1/1:  66%|██████▌   | 7083/10792 [48:05<33:33,  1.84it/s, loss=0.0731, rank=0.0323, reg=0.0408]
train epoch 1/1:  66%|██████▌   | 7084/10792 [48:05<29:27,  2.10it/s, loss=0.0731, rank=0.0323, reg=0.0408]
train epoch 1/1:  66%|██████▌   | 7084/10792 [48:05<29:27,  2.10it/s, loss=0.0905, rank=0.0750, reg=0.0155]
train epoch 1/1:  66%|██████▌   | 7085/10792 [48:05<24:45,  2.50it/s, loss=0.0905, rank=0.0750, reg=0.0155]
train epoch 1/1:  66%|██████▌   | 7085/10792 [48:06<24:45,  2.50it/s, loss=0.0738, rank=0.0422, reg=0.0317]
train epoch 1/1:  66%|██████▌   | 7086/10792 [48:06<25:37,  2.41it/s, loss=0.0738, rank=0.0422, reg=0.0317]
train epoch 1/1:  66%|██████▌   | 7086/10792 [48:07<25:37,  2.41it/s, loss=0.0730, rank=0.0557, reg=0.0172]
train epoch 1/1:  66%|██████▌   | 7087/10792 [48:07<36:47,  1.68it/s, loss=0.0730, rank=0.0557, reg=0.0172]
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train epoch 1/1:  66%|██████▌   | 7089/10792 [48:07<27:51,  2.22it/s, loss=0.0765, rank=0.0470, reg=0.0296]
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train epoch 1/1:  66%|██████▌   | 7090/10792 [48:09<35:26,  1.74it/s, loss=0.0878, rank=0.0364, reg=0.0514]
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train epoch 1/1:  66%|██████▌   | 7111/10792 [48:16<21:23,  2.87it/s, loss=0.0103, rank=0.0008, reg=0.0095]
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train epoch 1/1:  66%|██████▌   | 7116/10792 [48:19<25:39,  2.39it/s, loss=0.0313, rank=0.0131, reg=0.0183]
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train epoch 1/1:  66%|██████▌   | 7117/10792 [48:19<28:41,  2.13it/s, loss=0.0735, rank=0.0630, reg=0.0106]
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train epoch 1/1:  66%|██████▌   | 7118/10792 [48:20<27:03,  2.26it/s, loss=0.0859, rank=0.0217, reg=0.0642]
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train epoch 1/1:  66%|██████▌   | 7119/10792 [48:20<23:53,  2.56it/s, loss=0.0560, rank=0.0365, reg=0.0195]
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train epoch 1/1:  66%|██████▌   | 7120/10792 [48:21<21:17,  2.87it/s, loss=0.0290, rank=0.0114, reg=0.0176]
train epoch 1/1:  66%|██████▌   | 7121/10792 [48:21<28:06,  2.18it/s, loss=0.0290, rank=0.0114, reg=0.0176]
train epoch 1/1:  66%|██████▌   | 7121/10792 [48:21<28:06,  2.18it/s, loss=0.0484, rank=0.0267, reg=0.0217]
train epoch 1/1:  66%|██████▌   | 7122/10792 [48:21<34:11,  1.79it/s, loss=0.0484, rank=0.0267, reg=0.0217]
train epoch 1/1:  66%|██████▌   | 7122/10792 [48:22<34:11,  1.79it/s, loss=0.1136, rank=0.0597, reg=0.0539]
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train epoch 1/1:  66%|██████▌   | 7129/10792 [48:25<31:09,  1.96it/s, loss=0.1161, rank=0.0310, reg=0.0851]
train epoch 1/1:  66%|██████▌   | 7130/10792 [48:25<27:52,  2.19it/s, loss=0.1161, rank=0.0310, reg=0.0851]
train epoch 1/1:  66%|██████▌   | 7130/10792 [48:25<27:52,  2.19it/s, loss=0.0590, rank=0.0346, reg=0.0244]
train epoch 1/1:  66%|██████▌   | 7131/10792 [48:25<22:36,  2.70it/s, loss=0.0590, rank=0.0346, reg=0.0244]
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train epoch 1/1:  66%|██████▌   | 7132/10792 [48:26<20:13,  3.01it/s, loss=0.0550, rank=0.0266, reg=0.0285]
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train epoch 1/1:  66%|██████▌   | 7137/10792 [48:28<29:01,  2.10it/s, loss=0.0865, rank=0.0561, reg=0.0304]
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train epoch 1/1:  66%|██████▌   | 7139/10792 [48:29<30:00,  2.03it/s, loss=0.0990, rank=0.0753, reg=0.0237]
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train epoch 1/1:  66%|██████▌   | 7143/10792 [48:30<26:40,  2.28it/s, loss=0.1636, rank=0.0599, reg=0.1038]
train epoch 1/1:  66%|██████▌   | 7143/10792 [48:31<26:40,  2.28it/s, loss=0.1015, rank=0.0452, reg=0.0563]
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train epoch 1/1:  66%|██████▌   | 7146/10792 [48:32<25:34,  2.38it/s, loss=0.0375, rank=0.0284, reg=0.0091]
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train epoch 1/1:  66%|██████▌   | 7147/10792 [48:33<20:11,  3.01it/s, loss=0.0243, rank=0.0046, reg=0.0198]
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train epoch 1/1:  66%|██████▋   | 7150/10792 [48:34<31:06,  1.95it/s, loss=0.0321, rank=0.0137, reg=0.0184]
train epoch 1/1:  66%|██████▋   | 7150/10792 [48:34<31:06,  1.95it/s, loss=0.1354, rank=0.0256, reg=0.1098]
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train epoch 1/1:  66%|██████▋   | 7151/10792 [48:35<29:15,  2.07it/s, loss=0.0836, rank=0.0499, reg=0.0336]
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train epoch 1/1:  66%|██████▋   | 7153/10792 [48:36<30:44,  1.97it/s, loss=0.1601, rank=0.1080, reg=0.0520]
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train epoch 1/1:  67%|██████▋   | 7181/10792 [48:46<26:41,  2.25it/s, loss=0.1144, rank=0.0894, reg=0.0250]
train epoch 1/1:  67%|██████▋   | 7182/10792 [48:46<23:47,  2.53it/s, loss=0.1144, rank=0.0894, reg=0.0250]
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train epoch 1/1:  67%|██████▋   | 7183/10792 [48:47<22:27,  2.68it/s, loss=0.0531, rank=0.0330, reg=0.0201]
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train epoch 1/1:  67%|██████▋   | 7184/10792 [48:47<21:48,  2.76it/s, loss=0.1035, rank=0.0464, reg=0.0570]
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train epoch 1/1:  67%|██████▋   | 7185/10792 [48:48<22:23,  2.68it/s, loss=0.1008, rank=0.0470, reg=0.0539]
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train epoch 1/1:  67%|██████▋   | 7186/10792 [48:48<33:59,  1.77it/s, loss=0.1975, rank=0.0704, reg=0.1271]
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train epoch 1/1:  67%|██████▋   | 7187/10792 [48:49<26:44,  2.25it/s, loss=0.0340, rank=0.0155, reg=0.0185]
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train epoch 1/1:  67%|██████▋   | 7188/10792 [48:50<26:34,  2.26it/s, loss=0.0657, rank=0.0000, reg=0.0657]
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train epoch 1/1:  67%|██████▋   | 7191/10792 [48:50<20:06,  2.98it/s, loss=0.0424, rank=0.0215, reg=0.0209]
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train epoch 1/1:  67%|██████▋   | 7193/10792 [48:51<19:40,  3.05it/s, loss=0.0611, rank=0.0412, reg=0.0199]
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train epoch 1/1:  67%|██████▋   | 7194/10792 [48:51<17:33,  3.41it/s, loss=0.1718, rank=0.0296, reg=0.1422]
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train epoch 1/1:  67%|██████▋   | 7196/10792 [48:51<16:22,  3.66it/s, loss=0.0648, rank=0.0276, reg=0.0372]
train epoch 1/1:  67%|██████▋   | 7197/10792 [48:51<13:39,  4.39it/s, loss=0.0648, rank=0.0276, reg=0.0372]
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train epoch 1/1:  67%|██████▋   | 7198/10792 [48:52<14:17,  4.19it/s, loss=0.0964, rank=0.0181, reg=0.0784]
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train epoch 1/1:  67%|██████▋   | 7199/10792 [48:53<16:11,  3.70it/s, loss=0.0588, rank=0.0377, reg=0.0211]
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train epoch 1/1:  67%|██████▋   | 7200/10792 [48:53<26:45,  2.24it/s, loss=0.0299, rank=0.0165, reg=0.0133]
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train epoch 1/1:  67%|██████▋   | 7201/10792 [48:53<21:18,  2.81it/s, loss=0.1487, rank=0.0798, reg=0.0689]
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train epoch 1/1:  67%|██████▋   | 7202/10792 [48:54<20:47,  2.88it/s, loss=0.0460, rank=0.0113, reg=0.0347]
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train epoch 1/1:  67%|██████▋   | 7206/10792 [48:55<17:33,  3.41it/s, loss=0.0717, rank=0.0541, reg=0.0177]
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train epoch 1/1:  67%|██████▋   | 7209/10792 [48:55<14:44,  4.05it/s, loss=0.1954, rank=0.0340, reg=0.1614]
train epoch 1/1:  67%|██████▋   | 7209/10792 [48:56<14:44,  4.05it/s, loss=0.0830, rank=0.0711, reg=0.0119]
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train epoch 1/1:  67%|██████▋   | 7210/10792 [48:56<24:15,  2.46it/s, loss=0.0606, rank=0.0297, reg=0.0309]
train epoch 1/1:  67%|██████▋   | 7211/10792 [48:56<19:58,  2.99it/s, loss=0.0606, rank=0.0297, reg=0.0309]
train epoch 1/1:  67%|██████▋   | 7211/10792 [48:56<19:58,  2.99it/s, loss=0.1243, rank=0.0265, reg=0.0978]
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train epoch 1/1:  67%|██████▋   | 7213/10792 [48:57<20:23,  2.93it/s, loss=0.0596, rank=0.0315, reg=0.0281]
train epoch 1/1:  67%|██████▋   | 7213/10792 [48:57<20:23,  2.93it/s, loss=0.1258, rank=0.0606, reg=0.0652]
train epoch 1/1:  67%|██████▋   | 7214/10792 [48:57<17:47,  3.35it/s, loss=0.1258, rank=0.0606, reg=0.0652]
train epoch 1/1:  67%|██████▋   | 7214/10792 [48:57<17:47,  3.35it/s, loss=0.0706, rank=0.0435, reg=0.0271]
train epoch 1/1:  67%|██████▋   | 7215/10792 [48:57<16:32,  3.60it/s, loss=0.0706, rank=0.0435, reg=0.0271]
train epoch 1/1:  67%|██████▋   | 7215/10792 [48:57<16:32,  3.60it/s, loss=0.0887, rank=0.0712, reg=0.0175]
train epoch 1/1:  67%|██████▋   | 7216/10792 [48:57<18:17,  3.26it/s, loss=0.0887, rank=0.0712, reg=0.0175]
train epoch 1/1:  67%|██████▋   | 7216/10792 [48:58<18:17,  3.26it/s, loss=0.0684, rank=0.0518, reg=0.0166]
train epoch 1/1:  67%|██████▋   | 7217/10792 [48:58<15:47,  3.77it/s, loss=0.0684, rank=0.0518, reg=0.0166]
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train epoch 1/1:  67%|██████▋   | 7218/10792 [48:58<14:08,  4.21it/s, loss=0.1011, rank=0.0437, reg=0.0574]
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train epoch 1/1:  67%|██████▋   | 7240/10792 [49:07<25:29,  2.32it/s, loss=0.1078, rank=0.0111, reg=0.0968]
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train epoch 1/1:  67%|██████▋   | 7246/10792 [49:09<20:34,  2.87it/s, loss=0.1462, rank=0.0635, reg=0.0827]
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train epoch 1/1:  67%|██████▋   | 7247/10792 [49:10<22:49,  2.59it/s, loss=0.0402, rank=0.0125, reg=0.0277]
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train epoch 1/1:  67%|██████▋   | 7248/10792 [49:10<27:54,  2.12it/s, loss=0.0902, rank=0.0644, reg=0.0258]
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train epoch 1/1:  67%|██████▋   | 7249/10792 [49:11<26:02,  2.27it/s, loss=0.1224, rank=0.0380, reg=0.0844]
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train epoch 1/1:  67%|██████▋   | 7250/10792 [49:11<22:53,  2.58it/s, loss=0.1196, rank=0.0718, reg=0.0477]
train epoch 1/1:  67%|██████▋   | 7251/10792 [49:11<19:54,  2.97it/s, loss=0.1196, rank=0.0718, reg=0.0477]
train epoch 1/1:  67%|██████▋   | 7251/10792 [49:11<19:54,  2.97it/s, loss=0.0732, rank=0.0216, reg=0.0516]
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train epoch 1/1:  67%|██████▋   | 7252/10792 [49:11<22:20,  2.64it/s, loss=0.1064, rank=0.0840, reg=0.0225]
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train epoch 1/1:  67%|██████▋   | 7260/10792 [49:14<13:27,  4.37it/s, loss=0.1278, rank=0.0467, reg=0.0811]
train epoch 1/1:  67%|██████▋   | 7261/10792 [49:14<26:47,  2.20it/s, loss=0.1278, rank=0.0467, reg=0.0811]
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train epoch 1/1:  67%|██████▋   | 7264/10792 [49:15<17:36,  3.34it/s, loss=0.0229, rank=0.0111, reg=0.0119]
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train epoch 1/1:  67%|██████▋   | 7265/10792 [49:15<20:48,  2.83it/s, loss=0.2345, rank=0.0348, reg=0.1997]
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train epoch 1/1:  67%|██████▋   | 7266/10792 [49:16<18:37,  3.16it/s, loss=0.0820, rank=0.0251, reg=0.0569]
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train epoch 1/1:  67%|██████▋   | 7267/10792 [49:17<25:36,  2.29it/s, loss=0.1097, rank=0.0518, reg=0.0579]
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train epoch 1/1:  67%|██████▋   | 7281/10792 [49:23<27:25,  2.13it/s, loss=0.1255, rank=0.0768, reg=0.0487]
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train epoch 1/1:  67%|██████▋   | 7284/10792 [49:24<30:13,  1.93it/s, loss=0.0508, rank=0.0326, reg=0.0182]
train epoch 1/1:  67%|██████▋   | 7284/10792 [49:25<30:13,  1.93it/s, loss=0.1377, rank=0.0954, reg=0.0423]
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train epoch 1/1:  68%|██████▊   | 7285/10792 [49:26<28:49,  2.03it/s, loss=0.2054, rank=0.1035, reg=0.1019]
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train epoch 1/1:  68%|██████▊   | 7287/10792 [49:27<39:20,  1.48it/s, loss=0.0689, rank=0.0246, reg=0.0442]
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train epoch 1/1:  68%|██████▊   | 7288/10792 [49:27<40:12,  1.45it/s, loss=0.1008, rank=0.0740, reg=0.0268]
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train epoch 1/1:  68%|██████▊   | 7298/10792 [49:32<31:09,  1.87it/s, loss=0.0854, rank=0.0550, reg=0.0304]
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train epoch 1/1:  68%|██████▊   | 7300/10792 [49:33<24:21,  2.39it/s, loss=0.0788, rank=0.0286, reg=0.0502]
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train epoch 1/1:  68%|██████▊   | 7303/10792 [49:34<21:27,  2.71it/s, loss=0.0173, rank=0.0014, reg=0.0159]
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train epoch 1/1:  68%|██████▊   | 7304/10792 [49:34<27:35,  2.11it/s, loss=0.0954, rank=0.0690, reg=0.0263]
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train epoch 1/1:  68%|██████▊   | 7305/10792 [49:34<23:08,  2.51it/s, loss=0.0909, rank=0.0704, reg=0.0205]
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train epoch 1/1:  68%|██████▊   | 7306/10792 [49:35<18:41,  3.11it/s, loss=0.0679, rank=0.0530, reg=0.0150]
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train epoch 1/1:  68%|██████▊   | 7307/10792 [49:35<25:04,  2.32it/s, loss=0.1091, rank=0.0918, reg=0.0173]
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train epoch 1/1:  68%|██████▊   | 7308/10792 [49:36<21:36,  2.69it/s, loss=0.0679, rank=0.0071, reg=0.0607]
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train epoch 1/1:  68%|██████▊   | 7309/10792 [49:36<19:12,  3.02it/s, loss=0.0895, rank=0.0379, reg=0.0516]
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train epoch 1/1:  68%|██████▊   | 7310/10792 [49:36<19:24,  2.99it/s, loss=0.1363, rank=0.0313, reg=0.1051]
train epoch 1/1:  68%|██████▊   | 7311/10792 [49:36<23:14,  2.50it/s, loss=0.1363, rank=0.0313, reg=0.1051]
train epoch 1/1:  68%|██████▊   | 7311/10792 [49:37<23:14,  2.50it/s, loss=0.0911, rank=0.0576, reg=0.0335]
train epoch 1/1:  68%|██████▊   | 7312/10792 [49:37<25:42,  2.26it/s, loss=0.0911, rank=0.0576, reg=0.0335]
train epoch 1/1:  68%|██████▊   | 7312/10792 [49:37<25:42,  2.26it/s, loss=0.1113, rank=0.0481, reg=0.0632]
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train epoch 1/1:  68%|██████▊   | 7313/10792 [49:38<23:23,  2.48it/s, loss=0.0880, rank=0.0249, reg=0.0630]
train epoch 1/1:  68%|██████▊   | 7314/10792 [49:38<19:56,  2.91it/s, loss=0.0880, rank=0.0249, reg=0.0630]
train epoch 1/1:  68%|██████▊   | 7314/10792 [49:38<19:56,  2.91it/s, loss=0.0291, rank=0.0158, reg=0.0132]
train epoch 1/1:  68%|██████▊   | 7315/10792 [49:38<19:40,  2.94it/s, loss=0.0291, rank=0.0158, reg=0.0132]
train epoch 1/1:  68%|██████▊   | 7315/10792 [49:38<19:40,  2.94it/s, loss=0.1149, rank=0.0611, reg=0.0538]
train epoch 1/1:  68%|██████▊   | 7316/10792 [49:38<17:58,  3.22it/s, loss=0.1149, rank=0.0611, reg=0.0538]
train epoch 1/1:  68%|██████▊   | 7316/10792 [49:38<17:58,  3.22it/s, loss=0.0756, rank=0.0132, reg=0.0624]
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train epoch 1/1:  68%|██████▊   | 7317/10792 [49:39<16:29,  3.51it/s, loss=0.0628, rank=0.0441, reg=0.0188]
train epoch 1/1:  68%|██████▊   | 7318/10792 [49:39<18:10,  3.19it/s, loss=0.0628, rank=0.0441, reg=0.0188]
train epoch 1/1:  68%|██████▊   | 7318/10792 [49:39<18:10,  3.19it/s, loss=0.0890, rank=0.0544, reg=0.0346]
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train epoch 1/1:  68%|██████▊   | 7320/10792 [49:40<19:04,  3.03it/s, loss=0.0659, rank=0.0327, reg=0.0332]
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train epoch 1/1:  68%|██████▊   | 7321/10792 [49:40<20:44,  2.79it/s, loss=0.0616, rank=0.0426, reg=0.0190]
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train epoch 1/1:  68%|██████▊   | 7324/10792 [49:42<30:22,  1.90it/s, loss=0.1143, rank=0.0648, reg=0.0496]
train epoch 1/1:  68%|██████▊   | 7325/10792 [49:42<25:19,  2.28it/s, loss=0.1143, rank=0.0648, reg=0.0496]
train epoch 1/1:  68%|██████▊   | 7325/10792 [49:42<25:19,  2.28it/s, loss=0.0968, rank=0.0743, reg=0.0226]
train epoch 1/1:  68%|██████▊   | 7326/10792 [49:42<22:26,  2.57it/s, loss=0.0968, rank=0.0743, reg=0.0226]
train epoch 1/1:  68%|██████▊   | 7326/10792 [49:43<22:26,  2.57it/s, loss=0.0874, rank=0.0484, reg=0.0390]
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train epoch 1/1:  68%|██████▊   | 7327/10792 [49:43<25:05,  2.30it/s, loss=0.0659, rank=0.0447, reg=0.0212]
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train epoch 1/1:  68%|██████▊   | 7328/10792 [49:44<28:05,  2.06it/s, loss=0.0355, rank=0.0000, reg=0.0355]
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train epoch 1/1:  68%|██████▊   | 7329/10792 [49:44<29:46,  1.94it/s, loss=0.1079, rank=0.0529, reg=0.0550]
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train epoch 1/1:  68%|██████▊   | 7330/10792 [49:45<28:55,  2.00it/s, loss=0.1306, rank=0.0891, reg=0.0415]
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train epoch 1/1:  68%|██████▊   | 7331/10792 [49:45<22:50,  2.53it/s, loss=0.1211, rank=0.0327, reg=0.0884]
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train epoch 1/1:  68%|██████▊   | 7332/10792 [49:45<18:59,  3.04it/s, loss=0.0514, rank=0.0405, reg=0.0110]
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train epoch 1/1:  68%|██████▊   | 7333/10792 [49:46<23:30,  2.45it/s, loss=0.0671, rank=0.0138, reg=0.0533]
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train epoch 1/1:  68%|██████▊   | 7334/10792 [49:47<29:45,  1.94it/s, loss=0.0956, rank=0.0656, reg=0.0300]
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train epoch 1/1:  68%|██████▊   | 7335/10792 [49:47<29:39,  1.94it/s, loss=0.0448, rank=0.0348, reg=0.0100]
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train epoch 1/1:  68%|██████▊   | 7336/10792 [49:48<36:08,  1.59it/s, loss=0.2355, rank=0.0515, reg=0.1840]
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train epoch 1/1:  68%|██████▊   | 7337/10792 [49:48<38:49,  1.48it/s, loss=0.0310, rank=0.0165, reg=0.0146]
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train epoch 1/1:  68%|██████▊   | 7338/10792 [49:49<31:25,  1.83it/s, loss=0.1426, rank=0.0363, reg=0.1063]
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train epoch 1/1:  68%|██████▊   | 7339/10792 [49:49<25:38,  2.24it/s, loss=0.0645, rank=0.0294, reg=0.0351]
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train epoch 1/1:  68%|██████▊   | 7341/10792 [49:50<21:35,  2.66it/s, loss=0.1505, rank=0.0613, reg=0.0892]
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train epoch 1/1:  68%|██████▊   | 7346/10792 [49:52<27:34,  2.08it/s, loss=0.1598, rank=0.1014, reg=0.0584]
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train epoch 1/1:  68%|██████▊   | 7367/10792 [49:59<25:18,  2.26it/s, loss=0.1616, rank=0.0609, reg=0.1006]
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train epoch 1/1:  68%|██████▊   | 7376/10792 [50:03<15:00,  3.79it/s, loss=0.0211, rank=0.0091, reg=0.0119]
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train epoch 1/1:  68%|██████▊   | 7378/10792 [50:03<18:51,  3.02it/s, loss=0.1141, rank=0.0526, reg=0.0615]
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train epoch 1/1:  68%|██████▊   | 7379/10792 [50:04<20:07,  2.83it/s, loss=0.0698, rank=0.0354, reg=0.0344]
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train epoch 1/1:  68%|██████▊   | 7380/10792 [50:04<24:13,  2.35it/s, loss=0.1408, rank=0.0521, reg=0.0887]
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train epoch 1/1:  68%|██████▊   | 7390/10792 [50:08<17:22,  3.26it/s, loss=0.1522, rank=0.0520, reg=0.1002]
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train epoch 1/1:  68%|██████▊   | 7391/10792 [50:08<22:34,  2.51it/s, loss=0.0566, rank=0.0395, reg=0.0172]
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train epoch 1/1:  68%|██████▊   | 7392/10792 [50:08<19:24,  2.92it/s, loss=0.0653, rank=0.0605, reg=0.0048]
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train epoch 1/1:  69%|██████▊   | 7394/10792 [50:09<14:50,  3.81it/s, loss=0.0189, rank=0.0000, reg=0.0189]
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train epoch 1/1:  69%|██████▊   | 7395/10792 [50:09<15:13,  3.72it/s, loss=0.0425, rank=0.0234, reg=0.0191]
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train epoch 1/1:  69%|██████▊   | 7396/10792 [50:09<13:37,  4.15it/s, loss=0.0317, rank=0.0135, reg=0.0183]
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train epoch 1/1:  69%|██████▊   | 7397/10792 [50:09<17:20,  3.26it/s, loss=0.0883, rank=0.0485, reg=0.0398]
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train epoch 1/1:  69%|██████▊   | 7399/10792 [50:10<15:07,  3.74it/s, loss=0.0702, rank=0.0346, reg=0.0356]
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train epoch 1/1:  69%|██████▊   | 7401/10792 [50:10<12:47,  4.42it/s, loss=0.0672, rank=0.0473, reg=0.0199]
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train epoch 1/1:  69%|██████▊   | 7404/10792 [50:11<13:25,  4.20it/s, loss=0.0543, rank=0.0216, reg=0.0327]
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train epoch 1/1:  69%|██████▊   | 7406/10792 [50:11<15:37,  3.61it/s, loss=0.0659, rank=0.0352, reg=0.0307]
train epoch 1/1:  69%|██████▊   | 7406/10792 [50:12<15:37,  3.61it/s, loss=0.3836, rank=0.0360, reg=0.3476]
train epoch 1/1:  69%|██████▊   | 7407/10792 [50:12<22:03,  2.56it/s, loss=0.3836, rank=0.0360, reg=0.3476]
train epoch 1/1:  69%|██████▊   | 7407/10792 [50:13<22:03,  2.56it/s, loss=0.1078, rank=0.0557, reg=0.0521]
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train epoch 1/1:  69%|██████▊   | 7409/10792 [50:14<23:46,  2.37it/s, loss=0.0183, rank=0.0000, reg=0.0183]
train epoch 1/1:  69%|██████▊   | 7410/10792 [50:14<31:19,  1.80it/s, loss=0.0183, rank=0.0000, reg=0.0183]
train epoch 1/1:  69%|██████▊   | 7410/10792 [50:14<31:19,  1.80it/s, loss=0.0793, rank=0.0249, reg=0.0544]
train epoch 1/1:  69%|██████▊   | 7411/10792 [50:14<30:01,  1.88it/s, loss=0.0793, rank=0.0249, reg=0.0544]
train epoch 1/1:  69%|██████▊   | 7411/10792 [50:15<30:01,  1.88it/s, loss=0.0981, rank=0.0491, reg=0.0490]
train epoch 1/1:  69%|██████▊   | 7412/10792 [50:15<23:55,  2.35it/s, loss=0.0981, rank=0.0491, reg=0.0490]
train epoch 1/1:  69%|██████▊   | 7412/10792 [50:15<23:55,  2.35it/s, loss=0.0665, rank=0.0483, reg=0.0182]
train epoch 1/1:  69%|██████▊   | 7413/10792 [50:15<20:53,  2.70it/s, loss=0.0665, rank=0.0483, reg=0.0182]
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train epoch 1/1:  69%|██████▊   | 7414/10792 [50:15<18:27,  3.05it/s, loss=0.0300, rank=0.0125, reg=0.0176]
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train epoch 1/1:  69%|██████▊   | 7415/10792 [50:15<16:38,  3.38it/s, loss=0.0663, rank=0.0469, reg=0.0194]
train epoch 1/1:  69%|██████▊   | 7415/10792 [50:16<16:38,  3.38it/s, loss=0.0745, rank=0.0519, reg=0.0226]
train epoch 1/1:  69%|██████▊   | 7416/10792 [50:16<20:36,  2.73it/s, loss=0.0745, rank=0.0519, reg=0.0226]
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train epoch 1/1:  69%|██████▊   | 7418/10792 [50:16<16:03,  3.50it/s, loss=0.1138, rank=0.0377, reg=0.0761]
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train epoch 1/1:  69%|██████▊   | 7419/10792 [50:17<16:39,  3.38it/s, loss=0.1246, rank=0.0511, reg=0.0734]
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train epoch 1/1:  69%|██████▉   | 7420/10792 [50:17<15:22,  3.66it/s, loss=0.2367, rank=0.0739, reg=0.1628]
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train epoch 1/1:  69%|██████▉   | 7421/10792 [50:17<14:01,  4.00it/s, loss=0.0934, rank=0.0608, reg=0.0326]
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train epoch 1/1:  69%|██████▉   | 7422/10792 [50:17<14:31,  3.87it/s, loss=0.0614, rank=0.0503, reg=0.0111]
train epoch 1/1:  69%|██████▉   | 7422/10792 [50:18<14:31,  3.87it/s, loss=0.0958, rank=0.0659, reg=0.0299]
train epoch 1/1:  69%|██████▉   | 7423/10792 [50:18<16:48,  3.34it/s, loss=0.0958, rank=0.0659, reg=0.0299]
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train epoch 1/1:  69%|██████▉   | 7424/10792 [50:18<15:21,  3.65it/s, loss=0.0762, rank=0.0505, reg=0.0258]
train epoch 1/1:  69%|██████▉   | 7424/10792 [50:19<15:21,  3.65it/s, loss=0.0547, rank=0.0348, reg=0.0199]
train epoch 1/1:  69%|██████▉   | 7425/10792 [50:19<26:11,  2.14it/s, loss=0.0547, rank=0.0348, reg=0.0199]
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train epoch 1/1:  69%|██████▉   | 7426/10792 [50:19<22:07,  2.54it/s, loss=0.0621, rank=0.0264, reg=0.0356]
train epoch 1/1:  69%|██████▉   | 7426/10792 [50:20<22:07,  2.54it/s, loss=0.0895, rank=0.0248, reg=0.0646]
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train epoch 1/1:  69%|██████▉   | 7428/10792 [50:20<19:17,  2.91it/s, loss=0.0572, rank=0.0247, reg=0.0324]
train epoch 1/1:  69%|██████▉   | 7428/10792 [50:20<19:17,  2.91it/s, loss=0.0804, rank=0.0602, reg=0.0202]
train epoch 1/1:  69%|██████▉   | 7429/10792 [50:20<19:02,  2.94it/s, loss=0.0804, rank=0.0602, reg=0.0202]
train epoch 1/1:  69%|██████▉   | 7429/10792 [50:20<19:02,  2.94it/s, loss=0.0650, rank=0.0147, reg=0.0503]
train epoch 1/1:  69%|██████▉   | 7430/10792 [50:20<17:02,  3.29it/s, loss=0.0650, rank=0.0147, reg=0.0503]
train epoch 1/1:  69%|██████▉   | 7430/10792 [50:20<17:02,  3.29it/s, loss=0.0797, rank=0.0534, reg=0.0262]
train epoch 1/1:  69%|██████▉   | 7431/10792 [50:20<14:50,  3.77it/s, loss=0.0797, rank=0.0534, reg=0.0262]
train epoch 1/1:  69%|██████▉   | 7431/10792 [50:21<14:50,  3.77it/s, loss=0.0847, rank=0.0553, reg=0.0295]
train epoch 1/1:  69%|██████▉   | 7432/10792 [50:21<12:55,  4.33it/s, loss=0.0847, rank=0.0553, reg=0.0295]
train epoch 1/1:  69%|██████▉   | 7432/10792 [50:21<12:55,  4.33it/s, loss=0.0401, rank=0.0243, reg=0.0158]
train epoch 1/1:  69%|██████▉   | 7433/10792 [50:21<12:48,  4.37it/s, loss=0.0401, rank=0.0243, reg=0.0158]
train epoch 1/1:  69%|██████▉   | 7433/10792 [50:21<12:48,  4.37it/s, loss=0.2806, rank=0.2534, reg=0.0272]
train epoch 1/1:  69%|██████▉   | 7434/10792 [50:21<14:34,  3.84it/s, loss=0.2806, rank=0.2534, reg=0.0272]
train epoch 1/1:  69%|██████▉   | 7434/10792 [50:21<14:34,  3.84it/s, loss=0.0908, rank=0.0530, reg=0.0378]
train epoch 1/1:  69%|██████▉   | 7435/10792 [50:21<13:00,  4.30it/s, loss=0.0908, rank=0.0530, reg=0.0378]
train epoch 1/1:  69%|██████▉   | 7435/10792 [50:21<13:00,  4.30it/s, loss=0.1536, rank=0.1175, reg=0.0361]
train epoch 1/1:  69%|██████▉   | 7436/10792 [50:21<12:07,  4.61it/s, loss=0.1536, rank=0.1175, reg=0.0361]
train epoch 1/1:  69%|██████▉   | 7436/10792 [50:22<12:07,  4.61it/s, loss=0.1538, rank=0.0836, reg=0.0703]
train epoch 1/1:  69%|██████▉   | 7437/10792 [50:22<11:19,  4.94it/s, loss=0.1538, rank=0.0836, reg=0.0703]
train epoch 1/1:  69%|██████▉   | 7437/10792 [50:22<11:19,  4.94it/s, loss=0.1789, rank=0.0553, reg=0.1236]
train epoch 1/1:  69%|██████▉   | 7438/10792 [50:22<12:51,  4.35it/s, loss=0.1789, rank=0.0553, reg=0.1236]
train epoch 1/1:  69%|██████▉   | 7438/10792 [50:22<12:51,  4.35it/s, loss=0.1315, rank=0.0940, reg=0.0375]
train epoch 1/1:  69%|██████▉   | 7439/10792 [50:22<12:29,  4.47it/s, loss=0.1315, rank=0.0940, reg=0.0375]
train epoch 1/1:  69%|██████▉   | 7439/10792 [50:23<12:29,  4.47it/s, loss=0.0583, rank=0.0372, reg=0.0211]
train epoch 1/1:  69%|██████▉   | 7440/10792 [50:23<26:04,  2.14it/s, loss=0.0583, rank=0.0372, reg=0.0211]
train epoch 1/1:  69%|██████▉   | 7440/10792 [50:23<26:04,  2.14it/s, loss=0.0370, rank=0.0100, reg=0.0270]
train epoch 1/1:  69%|██████▉   | 7441/10792 [50:23<22:11,  2.52it/s, loss=0.0370, rank=0.0100, reg=0.0270]
train epoch 1/1:  69%|██████▉   | 7441/10792 [50:24<22:11,  2.52it/s, loss=0.1725, rank=0.1032, reg=0.0693]
train epoch 1/1:  69%|██████▉   | 7442/10792 [50:24<18:18,  3.05it/s, loss=0.1725, rank=0.1032, reg=0.0693]
train epoch 1/1:  69%|██████▉   | 7442/10792 [50:24<18:18,  3.05it/s, loss=0.1456, rank=0.0444, reg=0.1013]
train epoch 1/1:  69%|██████▉   | 7443/10792 [50:24<17:31,  3.19it/s, loss=0.1456, rank=0.0444, reg=0.1013]
train epoch 1/1:  69%|██████▉   | 7443/10792 [50:25<17:31,  3.19it/s, loss=0.0428, rank=0.0123, reg=0.0305]
train epoch 1/1:  69%|██████▉   | 7444/10792 [50:25<30:24,  1.84it/s, loss=0.0428, rank=0.0123, reg=0.0305]
train epoch 1/1:  69%|██████▉   | 7444/10792 [50:25<30:24,  1.84it/s, loss=0.0525, rank=0.0267, reg=0.0258]
train epoch 1/1:  69%|██████▉   | 7445/10792 [50:25<25:19,  2.20it/s, loss=0.0525, rank=0.0267, reg=0.0258]
train epoch 1/1:  69%|██████▉   | 7445/10792 [50:25<25:19,  2.20it/s, loss=0.0798, rank=0.0395, reg=0.0402]
train epoch 1/1:  69%|██████▉   | 7446/10792 [50:25<20:24,  2.73it/s, loss=0.0798, rank=0.0395, reg=0.0402]
train epoch 1/1:  69%|██████▉   | 7446/10792 [50:26<20:24,  2.73it/s, loss=0.1782, rank=0.0272, reg=0.1510]
train epoch 1/1:  69%|██████▉   | 7447/10792 [50:26<24:24,  2.28it/s, loss=0.1782, rank=0.0272, reg=0.1510]
train epoch 1/1:  69%|██████▉   | 7447/10792 [50:27<24:24,  2.28it/s, loss=0.0606, rank=0.0105, reg=0.0501]
train epoch 1/1:  69%|██████▉   | 7448/10792 [50:27<27:16,  2.04it/s, loss=0.0606, rank=0.0105, reg=0.0501]
train epoch 1/1:  69%|██████▉   | 7448/10792 [50:27<27:16,  2.04it/s, loss=0.1294, rank=0.0886, reg=0.0408]
train epoch 1/1:  69%|██████▉   | 7449/10792 [50:27<26:11,  2.13it/s, loss=0.1294, rank=0.0886, reg=0.0408]
train epoch 1/1:  69%|██████▉   | 7449/10792 [50:27<26:11,  2.13it/s, loss=0.0378, rank=0.0318, reg=0.0060]
train epoch 1/1:  69%|██████▉   | 7450/10792 [50:27<21:09,  2.63it/s, loss=0.0378, rank=0.0318, reg=0.0060]
train epoch 1/1:  69%|██████▉   | 7450/10792 [50:27<21:09,  2.63it/s, loss=0.0858, rank=0.0551, reg=0.0307]
train epoch 1/1:  69%|██████▉   | 7451/10792 [50:27<20:38,  2.70it/s, loss=0.0858, rank=0.0551, reg=0.0307]
train epoch 1/1:  69%|██████▉   | 7451/10792 [50:28<20:38,  2.70it/s, loss=0.0561, rank=0.0389, reg=0.0172]
train epoch 1/1:  69%|██████▉   | 7452/10792 [50:28<20:37,  2.70it/s, loss=0.0561, rank=0.0389, reg=0.0172]
train epoch 1/1:  69%|██████▉   | 7452/10792 [50:28<20:37,  2.70it/s, loss=0.0567, rank=0.0236, reg=0.0330]
train epoch 1/1:  69%|██████▉   | 7453/10792 [50:28<16:54,  3.29it/s, loss=0.0567, rank=0.0236, reg=0.0330]
train epoch 1/1:  69%|██████▉   | 7453/10792 [50:28<16:54,  3.29it/s, loss=0.0712, rank=0.0271, reg=0.0441]
train epoch 1/1:  69%|██████▉   | 7454/10792 [50:28<17:52,  3.11it/s, loss=0.0712, rank=0.0271, reg=0.0441]
train epoch 1/1:  69%|██████▉   | 7454/10792 [50:29<17:52,  3.11it/s, loss=0.1333, rank=0.0806, reg=0.0527]
train epoch 1/1:  69%|██████▉   | 7455/10792 [50:29<19:12,  2.89it/s, loss=0.1333, rank=0.0806, reg=0.0527]
train epoch 1/1:  69%|██████▉   | 7455/10792 [50:29<19:12,  2.89it/s, loss=0.0900, rank=0.0424, reg=0.0476]
train epoch 1/1:  69%|██████▉   | 7456/10792 [50:29<18:52,  2.95it/s, loss=0.0900, rank=0.0424, reg=0.0476]
train epoch 1/1:  69%|██████▉   | 7456/10792 [50:29<18:52,  2.95it/s, loss=0.1254, rank=0.0567, reg=0.0687]
train epoch 1/1:  69%|██████▉   | 7457/10792 [50:29<17:07,  3.25it/s, loss=0.1254, rank=0.0567, reg=0.0687]
train epoch 1/1:  69%|██████▉   | 7457/10792 [50:30<17:07,  3.25it/s, loss=0.0797, rank=0.0397, reg=0.0399]
train epoch 1/1:  69%|██████▉   | 7458/10792 [50:30<15:51,  3.50it/s, loss=0.0797, rank=0.0397, reg=0.0399]
train epoch 1/1:  69%|██████▉   | 7458/10792 [50:30<15:51,  3.50it/s, loss=0.0863, rank=0.0406, reg=0.0457]
train epoch 1/1:  69%|██████▉   | 7459/10792 [50:30<13:08,  4.23it/s, loss=0.0863, rank=0.0406, reg=0.0457]
train epoch 1/1:  69%|██████▉   | 7459/10792 [50:30<13:08,  4.23it/s, loss=0.0416, rank=0.0299, reg=0.0117]
train epoch 1/1:  69%|██████▉   | 7460/10792 [50:30<22:02,  2.52it/s, loss=0.0416, rank=0.0299, reg=0.0117]
train epoch 1/1:  69%|██████▉   | 7460/10792 [50:31<22:02,  2.52it/s, loss=0.0819, rank=0.0264, reg=0.0555]
train epoch 1/1:  69%|██████▉   | 7461/10792 [50:31<19:17,  2.88it/s, loss=0.0819, rank=0.0264, reg=0.0555]
train epoch 1/1:  69%|██████▉   | 7461/10792 [50:31<19:17,  2.88it/s, loss=0.0858, rank=0.0577, reg=0.0281]
train epoch 1/1:  69%|██████▉   | 7462/10792 [50:31<22:50,  2.43it/s, loss=0.0858, rank=0.0577, reg=0.0281]
train epoch 1/1:  69%|██████▉   | 7462/10792 [50:32<22:50,  2.43it/s, loss=0.0601, rank=0.0334, reg=0.0267]
train epoch 1/1:  69%|██████▉   | 7463/10792 [50:32<21:59,  2.52it/s, loss=0.0601, rank=0.0334, reg=0.0267]
train epoch 1/1:  69%|██████▉   | 7463/10792 [50:32<21:59,  2.52it/s, loss=0.0954, rank=0.0481, reg=0.0473]
train epoch 1/1:  69%|██████▉   | 7464/10792 [50:32<21:02,  2.64it/s, loss=0.0954, rank=0.0481, reg=0.0473]
train epoch 1/1:  69%|██████▉   | 7464/10792 [50:32<21:02,  2.64it/s, loss=0.1490, rank=0.0372, reg=0.1118]
train epoch 1/1:  69%|██████▉   | 7465/10792 [50:32<23:53,  2.32it/s, loss=0.1490, rank=0.0372, reg=0.1118]
train epoch 1/1:  69%|██████▉   | 7465/10792 [50:33<23:53,  2.32it/s, loss=0.0566, rank=0.0342, reg=0.0223]
train epoch 1/1:  69%|██████▉   | 7466/10792 [50:33<20:02,  2.77it/s, loss=0.0566, rank=0.0342, reg=0.0223]
train epoch 1/1:  69%|██████▉   | 7466/10792 [50:33<20:02,  2.77it/s, loss=0.0609, rank=0.0339, reg=0.0269]
train epoch 1/1:  69%|██████▉   | 7467/10792 [50:33<17:02,  3.25it/s, loss=0.0609, rank=0.0339, reg=0.0269]
train epoch 1/1:  69%|██████▉   | 7467/10792 [50:33<17:02,  3.25it/s, loss=0.0866, rank=0.0249, reg=0.0617]
train epoch 1/1:  69%|██████▉   | 7468/10792 [50:33<19:40,  2.82it/s, loss=0.0866, rank=0.0249, reg=0.0617]
train epoch 1/1:  69%|██████▉   | 7468/10792 [50:33<19:40,  2.82it/s, loss=0.0897, rank=0.0360, reg=0.0537]
train epoch 1/1:  69%|██████▉   | 7469/10792 [50:33<16:25,  3.37it/s, loss=0.0897, rank=0.0360, reg=0.0537]
train epoch 1/1:  69%|██████▉   | 7469/10792 [50:34<16:25,  3.37it/s, loss=0.0563, rank=0.0401, reg=0.0161]
train epoch 1/1:  69%|██████▉   | 7470/10792 [50:34<16:20,  3.39it/s, loss=0.0563, rank=0.0401, reg=0.0161]
train epoch 1/1:  69%|██████▉   | 7470/10792 [50:34<16:20,  3.39it/s, loss=0.0501, rank=0.0240, reg=0.0260]
train epoch 1/1:  69%|██████▉   | 7471/10792 [50:34<14:50,  3.73it/s, loss=0.0501, rank=0.0240, reg=0.0260]
train epoch 1/1:  69%|██████▉   | 7471/10792 [50:34<14:50,  3.73it/s, loss=0.0310, rank=0.0174, reg=0.0136]
train epoch 1/1:  69%|██████▉   | 7472/10792 [50:34<15:56,  3.47it/s, loss=0.0310, rank=0.0174, reg=0.0136]
train epoch 1/1:  69%|██████▉   | 7472/10792 [50:35<15:56,  3.47it/s, loss=0.0168, rank=0.0000, reg=0.0168]
train epoch 1/1:  69%|██████▉   | 7473/10792 [50:35<15:25,  3.59it/s, loss=0.0168, rank=0.0000, reg=0.0168]
train epoch 1/1:  69%|██████▉   | 7473/10792 [50:35<15:25,  3.59it/s, loss=0.0724, rank=0.0121, reg=0.0603]
train epoch 1/1:  69%|██████▉   | 7474/10792 [50:35<20:10,  2.74it/s, loss=0.0724, rank=0.0121, reg=0.0603]
train epoch 1/1:  69%|██████▉   | 7474/10792 [50:35<20:10,  2.74it/s, loss=0.1208, rank=0.0374, reg=0.0834]
train epoch 1/1:  69%|██████▉   | 7475/10792 [50:35<16:42,  3.31it/s, loss=0.1208, rank=0.0374, reg=0.0834]
train epoch 1/1:  69%|██████▉   | 7475/10792 [50:35<16:42,  3.31it/s, loss=0.0698, rank=0.0352, reg=0.0346]
train epoch 1/1:  69%|██████▉   | 7476/10792 [50:35<14:45,  3.75it/s, loss=0.0698, rank=0.0352, reg=0.0346]
train epoch 1/1:  69%|██████▉   | 7476/10792 [50:36<14:45,  3.75it/s, loss=0.1213, rank=0.0468, reg=0.0745]
train epoch 1/1:  69%|██████▉   | 7477/10792 [50:36<14:44,  3.75it/s, loss=0.1213, rank=0.0468, reg=0.0745]
train epoch 1/1:  69%|██████▉   | 7477/10792 [50:37<14:44,  3.75it/s, loss=0.0855, rank=0.0542, reg=0.0313]
train epoch 1/1:  69%|██████▉   | 7478/10792 [50:37<26:46,  2.06it/s, loss=0.0855, rank=0.0542, reg=0.0313]
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train epoch 1/1:  69%|██████▉   | 7479/10792 [50:37<23:48,  2.32it/s, loss=0.1101, rank=0.0409, reg=0.0692]
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train epoch 1/1:  69%|██████▉   | 7480/10792 [50:37<20:52,  2.64it/s, loss=0.0814, rank=0.0413, reg=0.0401]
train epoch 1/1:  69%|██████▉   | 7480/10792 [50:37<20:52,  2.64it/s, loss=0.1387, rank=0.1255, reg=0.0133]
train epoch 1/1:  69%|██████▉   | 7481/10792 [50:37<17:17,  3.19it/s, loss=0.1387, rank=0.1255, reg=0.0133]
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train epoch 1/1:  69%|██████▉   | 7482/10792 [50:38<16:46,  3.29it/s, loss=0.0636, rank=0.0457, reg=0.0178]
train epoch 1/1:  69%|██████▉   | 7482/10792 [50:38<16:46,  3.29it/s, loss=0.0593, rank=0.0368, reg=0.0225]
train epoch 1/1:  69%|██████▉   | 7483/10792 [50:38<16:19,  3.38it/s, loss=0.0593, rank=0.0368, reg=0.0225]
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train epoch 1/1:  69%|██████▉   | 7486/10792 [50:40<26:41,  2.06it/s, loss=0.0229, rank=0.0072, reg=0.0158]
train epoch 1/1:  69%|██████▉   | 7487/10792 [50:40<24:09,  2.28it/s, loss=0.0229, rank=0.0072, reg=0.0158]
train epoch 1/1:  69%|██████▉   | 7487/10792 [50:40<24:09,  2.28it/s, loss=0.1194, rank=0.0529, reg=0.0665]
train epoch 1/1:  69%|██████▉   | 7488/10792 [50:40<19:00,  2.90it/s, loss=0.1194, rank=0.0529, reg=0.0665]
train epoch 1/1:  69%|██████▉   | 7488/10792 [50:41<19:00,  2.90it/s, loss=0.1196, rank=0.0765, reg=0.0432]
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train epoch 1/1:  69%|██████▉   | 7490/10792 [50:41<17:35,  3.13it/s, loss=0.0959, rank=0.0449, reg=0.0509]
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train epoch 1/1:  69%|██████▉   | 7491/10792 [50:42<18:55,  2.91it/s, loss=0.0754, rank=0.0546, reg=0.0208]
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train epoch 1/1:  69%|██████▉   | 7492/10792 [50:42<18:12,  3.02it/s, loss=0.0348, rank=0.0125, reg=0.0223]
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train epoch 1/1:  69%|██████▉   | 7493/10792 [50:43<19:55,  2.76it/s, loss=0.0819, rank=0.0145, reg=0.0674]
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train epoch 1/1:  69%|██████▉   | 7494/10792 [50:43<24:52,  2.21it/s, loss=0.1022, rank=0.0685, reg=0.0337]
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train epoch 1/1:  69%|██████▉   | 7495/10792 [50:44<30:31,  1.80it/s, loss=0.0886, rank=0.0493, reg=0.0393]
train epoch 1/1:  69%|██████▉   | 7496/10792 [50:44<27:34,  1.99it/s, loss=0.0886, rank=0.0493, reg=0.0393]
train epoch 1/1:  69%|██████▉   | 7496/10792 [50:44<27:34,  1.99it/s, loss=0.0526, rank=0.0336, reg=0.0190]
train epoch 1/1:  69%|██████▉   | 7497/10792 [50:44<23:00,  2.39it/s, loss=0.0526, rank=0.0336, reg=0.0190]
train epoch 1/1:  69%|██████▉   | 7497/10792 [50:44<23:00,  2.39it/s, loss=0.0699, rank=0.0392, reg=0.0307]
train epoch 1/1:  69%|██████▉   | 7498/10792 [50:44<19:57,  2.75it/s, loss=0.0699, rank=0.0392, reg=0.0307]
train epoch 1/1:  69%|██████▉   | 7498/10792 [50:45<19:57,  2.75it/s, loss=0.0579, rank=0.0432, reg=0.0147]
train epoch 1/1:  69%|██████▉   | 7499/10792 [50:45<18:27,  2.97it/s, loss=0.0579, rank=0.0432, reg=0.0147]
train epoch 1/1:  69%|██████▉   | 7499/10792 [50:45<18:27,  2.97it/s, loss=0.0741, rank=0.0523, reg=0.0218]
train epoch 1/1:  69%|██████▉   | 7500/10792 [50:45<16:24,  3.34it/s, loss=0.0741, rank=0.0523, reg=0.0218]
train epoch 1/1:  69%|██████▉   | 7500/10792 [50:46<16:24,  3.34it/s, loss=0.2409, rank=0.0220, reg=0.2189]
train epoch 1/1:  70%|██████▉   | 7501/10792 [50:46<24:16,  2.26it/s, loss=0.2409, rank=0.0220, reg=0.2189]
train epoch 1/1:  70%|██████▉   | 7501/10792 [50:46<24:16,  2.26it/s, loss=0.0451, rank=0.0279, reg=0.0172]
train epoch 1/1:  70%|██████▉   | 7502/10792 [50:46<22:21,  2.45it/s, loss=0.0451, rank=0.0279, reg=0.0172]
train epoch 1/1:  70%|██████▉   | 7502/10792 [50:46<22:21,  2.45it/s, loss=0.1063, rank=0.0659, reg=0.0404]
train epoch 1/1:  70%|██████▉   | 7503/10792 [50:46<17:56,  3.06it/s, loss=0.1063, rank=0.0659, reg=0.0404]
train epoch 1/1:  70%|██████▉   | 7503/10792 [50:46<17:56,  3.06it/s, loss=0.1006, rank=0.0874, reg=0.0131]
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train epoch 1/1:  70%|██████▉   | 7505/10792 [50:47<24:20,  2.25it/s, loss=0.0770, rank=0.0381, reg=0.0389]
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train epoch 1/1:  70%|██████▉   | 7506/10792 [50:48<21:27,  2.55it/s, loss=0.0552, rank=0.0520, reg=0.0033]
train epoch 1/1:  70%|██████▉   | 7507/10792 [50:48<19:24,  2.82it/s, loss=0.0552, rank=0.0520, reg=0.0033]
train epoch 1/1:  70%|██████▉   | 7507/10792 [50:48<19:24,  2.82it/s, loss=0.1258, rank=0.0867, reg=0.0391]
train epoch 1/1:  70%|██████▉   | 7508/10792 [50:48<16:42,  3.28it/s, loss=0.1258, rank=0.0867, reg=0.0391]
train epoch 1/1:  70%|██████▉   | 7508/10792 [50:48<16:42,  3.28it/s, loss=0.0644, rank=0.0334, reg=0.0309]
train epoch 1/1:  70%|██████▉   | 7509/10792 [50:48<22:24,  2.44it/s, loss=0.0644, rank=0.0334, reg=0.0309]
train epoch 1/1:  70%|██████▉   | 7509/10792 [50:49<22:24,  2.44it/s, loss=0.0658, rank=0.0618, reg=0.0041]
train epoch 1/1:  70%|██████▉   | 7510/10792 [50:49<18:44,  2.92it/s, loss=0.0658, rank=0.0618, reg=0.0041]
train epoch 1/1:  70%|██████▉   | 7510/10792 [50:49<18:44,  2.92it/s, loss=0.0510, rank=0.0328, reg=0.0182]
train epoch 1/1:  70%|██████▉   | 7511/10792 [50:49<17:39,  3.10it/s, loss=0.0510, rank=0.0328, reg=0.0182]
train epoch 1/1:  70%|██████▉   | 7511/10792 [50:49<17:39,  3.10it/s, loss=0.0760, rank=0.0495, reg=0.0265]
train epoch 1/1:  70%|██████▉   | 7512/10792 [50:49<17:19,  3.15it/s, loss=0.0760, rank=0.0495, reg=0.0265]
train epoch 1/1:  70%|██████▉   | 7512/10792 [50:50<17:19,  3.15it/s, loss=0.0298, rank=0.0114, reg=0.0184]
train epoch 1/1:  70%|██████▉   | 7513/10792 [50:50<18:00,  3.04it/s, loss=0.0298, rank=0.0114, reg=0.0184]
train epoch 1/1:  70%|██████▉   | 7513/10792 [50:50<18:00,  3.04it/s, loss=0.1102, rank=0.0992, reg=0.0109]
train epoch 1/1:  70%|██████▉   | 7514/10792 [50:50<16:07,  3.39it/s, loss=0.1102, rank=0.0992, reg=0.0109]
train epoch 1/1:  70%|██████▉   | 7514/10792 [50:51<16:07,  3.39it/s, loss=0.0902, rank=0.0240, reg=0.0662]
train epoch 1/1:  70%|██████▉   | 7515/10792 [50:51<24:41,  2.21it/s, loss=0.0902, rank=0.0240, reg=0.0662]
train epoch 1/1:  70%|██████▉   | 7515/10792 [50:51<24:41,  2.21it/s, loss=0.0372, rank=0.0078, reg=0.0294]
train epoch 1/1:  70%|██████▉   | 7516/10792 [50:51<23:28,  2.33it/s, loss=0.0372, rank=0.0078, reg=0.0294]
train epoch 1/1:  70%|██████▉   | 7516/10792 [50:51<23:28,  2.33it/s, loss=0.0414, rank=0.0217, reg=0.0197]
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train epoch 1/1:  70%|██████▉   | 7517/10792 [50:52<22:09,  2.46it/s, loss=0.0618, rank=0.0441, reg=0.0178]
train epoch 1/1:  70%|██████▉   | 7518/10792 [50:52<28:03,  1.94it/s, loss=0.0618, rank=0.0441, reg=0.0178]
train epoch 1/1:  70%|██████▉   | 7518/10792 [50:53<28:03,  1.94it/s, loss=0.0905, rank=0.0526, reg=0.0379]
train epoch 1/1:  70%|██████▉   | 7519/10792 [50:53<32:05,  1.70it/s, loss=0.0905, rank=0.0526, reg=0.0379]
train epoch 1/1:  70%|██████▉   | 7519/10792 [50:54<32:05,  1.70it/s, loss=0.0847, rank=0.0238, reg=0.0610]
train epoch 1/1:  70%|██████▉   | 7520/10792 [50:54<40:45,  1.34it/s, loss=0.0847, rank=0.0238, reg=0.0610]
train epoch 1/1:  70%|██████▉   | 7520/10792 [50:54<40:45,  1.34it/s, loss=0.1167, rank=0.0298, reg=0.0869]
train epoch 1/1:  70%|██████▉   | 7521/10792 [50:54<35:13,  1.55it/s, loss=0.1167, rank=0.0298, reg=0.0869]
train epoch 1/1:  70%|██████▉   | 7521/10792 [50:55<35:13,  1.55it/s, loss=0.0752, rank=0.0139, reg=0.0614]
train epoch 1/1:  70%|██████▉   | 7522/10792 [50:55<28:50,  1.89it/s, loss=0.0752, rank=0.0139, reg=0.0614]
train epoch 1/1:  70%|██████▉   | 7522/10792 [50:56<28:50,  1.89it/s, loss=0.1964, rank=0.0139, reg=0.1825]
train epoch 1/1:  70%|██████▉   | 7523/10792 [50:56<39:05,  1.39it/s, loss=0.1964, rank=0.0139, reg=0.1825]
train epoch 1/1:  70%|██████▉   | 7523/10792 [50:56<39:05,  1.39it/s, loss=0.0463, rank=0.0125, reg=0.0339]
train epoch 1/1:  70%|██████▉   | 7524/10792 [50:56<38:34,  1.41it/s, loss=0.0463, rank=0.0125, reg=0.0339]
train epoch 1/1:  70%|██████▉   | 7524/10792 [50:57<38:34,  1.41it/s, loss=0.0994, rank=0.0608, reg=0.0386]
train epoch 1/1:  70%|██████▉   | 7525/10792 [50:57<32:28,  1.68it/s, loss=0.0994, rank=0.0608, reg=0.0386]
train epoch 1/1:  70%|██████▉   | 7525/10792 [50:58<32:28,  1.68it/s, loss=0.0920, rank=0.0311, reg=0.0609]
train epoch 1/1:  70%|██████▉   | 7526/10792 [50:58<35:03,  1.55it/s, loss=0.0920, rank=0.0311, reg=0.0609]
train epoch 1/1:  70%|██████▉   | 7526/10792 [50:58<35:03,  1.55it/s, loss=0.1668, rank=0.0560, reg=0.1107]
train epoch 1/1:  70%|██████▉   | 7527/10792 [50:58<35:21,  1.54it/s, loss=0.1668, rank=0.0560, reg=0.1107]
train epoch 1/1:  70%|██████▉   | 7527/10792 [50:59<35:21,  1.54it/s, loss=0.0527, rank=0.0432, reg=0.0096]
train epoch 1/1:  70%|██████▉   | 7528/10792 [50:59<29:49,  1.82it/s, loss=0.0527, rank=0.0432, reg=0.0096]
train epoch 1/1:  70%|██████▉   | 7528/10792 [50:59<29:49,  1.82it/s, loss=0.1312, rank=0.0246, reg=0.1066]
train epoch 1/1:  70%|██████▉   | 7529/10792 [50:59<32:15,  1.69it/s, loss=0.1312, rank=0.0246, reg=0.1066]
train epoch 1/1:  70%|██████▉   | 7529/10792 [50:59<32:15,  1.69it/s, loss=0.2648, rank=0.0611, reg=0.2038]
train epoch 1/1:  70%|██████▉   | 7530/10792 [50:59<25:26,  2.14it/s, loss=0.2648, rank=0.0611, reg=0.2038]
train epoch 1/1:  70%|██████▉   | 7530/10792 [51:00<25:26,  2.14it/s, loss=0.1151, rank=0.0469, reg=0.0683]
train epoch 1/1:  70%|██████▉   | 7531/10792 [51:00<26:38,  2.04it/s, loss=0.1151, rank=0.0469, reg=0.0683]
train epoch 1/1:  70%|██████▉   | 7531/10792 [51:00<26:38,  2.04it/s, loss=0.0515, rank=0.0116, reg=0.0399]
train epoch 1/1:  70%|██████▉   | 7532/10792 [51:00<27:06,  2.00it/s, loss=0.0515, rank=0.0116, reg=0.0399]
train epoch 1/1:  70%|██████▉   | 7532/10792 [51:01<27:06,  2.00it/s, loss=0.0884, rank=0.0622, reg=0.0262]
train epoch 1/1:  70%|██████▉   | 7533/10792 [51:01<25:19,  2.14it/s, loss=0.0884, rank=0.0622, reg=0.0262]
train epoch 1/1:  70%|██████▉   | 7533/10792 [51:01<25:19,  2.14it/s, loss=0.1053, rank=0.0589, reg=0.0464]
train epoch 1/1:  70%|██████▉   | 7534/10792 [51:01<23:15,  2.33it/s, loss=0.1053, rank=0.0589, reg=0.0464]
train epoch 1/1:  70%|██████▉   | 7534/10792 [51:01<23:15,  2.33it/s, loss=0.0593, rank=0.0484, reg=0.0109]
train epoch 1/1:  70%|██████▉   | 7535/10792 [51:01<20:11,  2.69it/s, loss=0.0593, rank=0.0484, reg=0.0109]
train epoch 1/1:  70%|██████▉   | 7535/10792 [51:02<20:11,  2.69it/s, loss=0.0542, rank=0.0351, reg=0.0191]
train epoch 1/1:  70%|██████▉   | 7536/10792 [51:02<19:23,  2.80it/s, loss=0.0542, rank=0.0351, reg=0.0191]
train epoch 1/1:  70%|██████▉   | 7536/10792 [51:03<19:23,  2.80it/s, loss=0.0544, rank=0.0376, reg=0.0168]
train epoch 1/1:  70%|██████▉   | 7537/10792 [51:03<26:26,  2.05it/s, loss=0.0544, rank=0.0376, reg=0.0168]
train epoch 1/1:  70%|██████▉   | 7537/10792 [51:03<26:26,  2.05it/s, loss=0.0297, rank=0.0113, reg=0.0184]
train epoch 1/1:  70%|██████▉   | 7538/10792 [51:03<22:49,  2.38it/s, loss=0.0297, rank=0.0113, reg=0.0184]
train epoch 1/1:  70%|██████▉   | 7538/10792 [51:03<22:49,  2.38it/s, loss=0.0899, rank=0.0634, reg=0.0264]
train epoch 1/1:  70%|██████▉   | 7539/10792 [51:03<20:12,  2.68it/s, loss=0.0899, rank=0.0634, reg=0.0264]
train epoch 1/1:  70%|██████▉   | 7539/10792 [51:04<20:12,  2.68it/s, loss=0.0820, rank=0.0297, reg=0.0523]
train epoch 1/1:  70%|██████▉   | 7540/10792 [51:04<22:16,  2.43it/s, loss=0.0820, rank=0.0297, reg=0.0523]
train epoch 1/1:  70%|██████▉   | 7540/10792 [51:04<22:16,  2.43it/s, loss=0.0808, rank=0.0411, reg=0.0397]
train epoch 1/1:  70%|██████▉   | 7541/10792 [51:04<19:48,  2.73it/s, loss=0.0808, rank=0.0411, reg=0.0397]
train epoch 1/1:  70%|██████▉   | 7541/10792 [51:04<19:48,  2.73it/s, loss=0.0119, rank=0.0000, reg=0.0119]
train epoch 1/1:  70%|██████▉   | 7542/10792 [51:04<23:00,  2.35it/s, loss=0.0119, rank=0.0000, reg=0.0119]
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train epoch 1/1:  71%|███████   | 7677/10792 [51:57<12:26,  4.17it/s, loss=0.0940, rank=0.0367, reg=0.0573]
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train epoch 1/1:  71%|███████▏  | 7695/10792 [52:05<19:39,  2.63it/s, loss=0.1007, rank=0.0569, reg=0.0439]
train epoch 1/1:  71%|███████▏  | 7695/10792 [52:05<19:39,  2.63it/s, loss=0.0428, rank=0.0204, reg=0.0225]
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train epoch 1/1:  71%|███████▏  | 7698/10792 [52:06<17:00,  3.03it/s, loss=0.1953, rank=0.0784, reg=0.1169]
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train epoch 1/1:  71%|███████▏  | 7699/10792 [52:06<18:16,  2.82it/s, loss=0.0567, rank=0.0123, reg=0.0444]
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train epoch 1/1:  71%|███████▏  | 7703/10792 [52:08<15:32,  3.31it/s, loss=0.0468, rank=0.0303, reg=0.0165]
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train epoch 1/1:  71%|███████▏  | 7708/10792 [52:10<23:20,  2.20it/s, loss=0.0547, rank=0.0384, reg=0.0163]
train epoch 1/1:  71%|███████▏  | 7708/10792 [52:11<23:20,  2.20it/s, loss=0.0729, rank=0.0568, reg=0.0161]
train epoch 1/1:  71%|███████▏  | 7709/10792 [52:11<27:58,  1.84it/s, loss=0.0729, rank=0.0568, reg=0.0161]
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train epoch 1/1:  71%|███████▏  | 7710/10792 [52:11<25:45,  1.99it/s, loss=0.0632, rank=0.0377, reg=0.0255]
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train epoch 1/1:  71%|███████▏  | 7711/10792 [52:11<23:17,  2.20it/s, loss=0.0424, rank=0.0303, reg=0.0121]
train epoch 1/1:  71%|███████▏  | 7711/10792 [52:12<23:17,  2.20it/s, loss=0.1120, rank=0.0334, reg=0.0786]
train epoch 1/1:  71%|███████▏  | 7712/10792 [52:12<28:14,  1.82it/s, loss=0.1120, rank=0.0334, reg=0.0786]
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train epoch 1/1:  71%|███████▏  | 7713/10792 [52:12<23:22,  2.19it/s, loss=0.0681, rank=0.0478, reg=0.0203]
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train epoch 1/1:  71%|███████▏  | 7714/10792 [52:13<29:40,  1.73it/s, loss=0.0969, rank=0.0521, reg=0.0448]
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train epoch 1/1:  71%|███████▏  | 7715/10792 [52:13<25:42,  1.99it/s, loss=0.0708, rank=0.0153, reg=0.0555]
train epoch 1/1:  71%|███████▏  | 7715/10792 [52:14<25:42,  1.99it/s, loss=0.1103, rank=0.0491, reg=0.0613]
train epoch 1/1:  71%|███████▏  | 7716/10792 [52:14<21:40,  2.36it/s, loss=0.1103, rank=0.0491, reg=0.0613]
train epoch 1/1:  71%|███████▏  | 7716/10792 [52:15<21:40,  2.36it/s, loss=0.0437, rank=0.0350, reg=0.0087]
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train epoch 1/1:  72%|███████▏  | 7718/10792 [52:15<25:56,  1.98it/s, loss=0.1624, rank=0.0778, reg=0.0845]
train epoch 1/1:  72%|███████▏  | 7718/10792 [52:16<25:56,  1.98it/s, loss=0.1300, rank=0.0910, reg=0.0389]
train epoch 1/1:  72%|███████▏  | 7719/10792 [52:16<30:06,  1.70it/s, loss=0.1300, rank=0.0910, reg=0.0389]
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train epoch 1/1:  72%|███████▏  | 7720/10792 [52:16<25:38,  2.00it/s, loss=0.0604, rank=0.0182, reg=0.0422]
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train epoch 1/1:  72%|███████▏  | 7721/10792 [52:17<29:48,  1.72it/s, loss=0.0731, rank=0.0334, reg=0.0397]
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train epoch 1/1:  72%|███████▏  | 7722/10792 [52:17<24:51,  2.06it/s, loss=0.0850, rank=0.0583, reg=0.0267]
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train epoch 1/1:  72%|███████▏  | 7723/10792 [52:17<21:34,  2.37it/s, loss=0.0654, rank=0.0370, reg=0.0284]
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train epoch 1/1:  72%|███████▏  | 7724/10792 [52:18<24:23,  2.10it/s, loss=0.0858, rank=0.0259, reg=0.0599]
train epoch 1/1:  72%|███████▏  | 7724/10792 [52:19<24:23,  2.10it/s, loss=0.1222, rank=0.0733, reg=0.0490]
train epoch 1/1:  72%|███████▏  | 7725/10792 [52:19<25:14,  2.03it/s, loss=0.1222, rank=0.0733, reg=0.0490]
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train epoch 1/1:  72%|███████▏  | 7726/10792 [52:19<23:08,  2.21it/s, loss=0.1715, rank=0.0139, reg=0.1576]
train epoch 1/1:  72%|███████▏  | 7726/10792 [52:19<23:08,  2.21it/s, loss=0.0235, rank=0.0000, reg=0.0235]
train epoch 1/1:  72%|███████▏  | 7727/10792 [52:19<19:22,  2.64it/s, loss=0.0235, rank=0.0000, reg=0.0235]
train epoch 1/1:  72%|███████▏  | 7727/10792 [52:20<19:22,  2.64it/s, loss=0.0504, rank=0.0238, reg=0.0266]
train epoch 1/1:  72%|███████▏  | 7728/10792 [52:20<20:30,  2.49it/s, loss=0.0504, rank=0.0238, reg=0.0266]
train epoch 1/1:  72%|███████▏  | 7728/10792 [52:20<20:30,  2.49it/s, loss=0.1009, rank=0.0365, reg=0.0644]
train epoch 1/1:  72%|███████▏  | 7729/10792 [52:20<22:25,  2.28it/s, loss=0.1009, rank=0.0365, reg=0.0644]
train epoch 1/1:  72%|███████▏  | 7729/10792 [52:20<22:25,  2.28it/s, loss=0.0652, rank=0.0426, reg=0.0226]
train epoch 1/1:  72%|███████▏  | 7730/10792 [52:20<19:34,  2.61it/s, loss=0.0652, rank=0.0426, reg=0.0226]
train epoch 1/1:  72%|███████▏  | 7730/10792 [52:21<19:34,  2.61it/s, loss=0.0655, rank=0.0145, reg=0.0509]
train epoch 1/1:  72%|███████▏  | 7731/10792 [52:21<30:27,  1.68it/s, loss=0.0655, rank=0.0145, reg=0.0509]
train epoch 1/1:  72%|███████▏  | 7731/10792 [52:22<30:27,  1.68it/s, loss=0.1111, rank=0.0922, reg=0.0189]
train epoch 1/1:  72%|███████▏  | 7732/10792 [52:22<24:21,  2.09it/s, loss=0.1111, rank=0.0922, reg=0.0189]
train epoch 1/1:  72%|███████▏  | 7732/10792 [52:22<24:21,  2.09it/s, loss=0.1184, rank=0.0650, reg=0.0534]
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train epoch 1/1:  72%|███████▏  | 7734/10792 [52:22<20:47,  2.45it/s, loss=0.1397, rank=0.0130, reg=0.1267]
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train epoch 1/1:  72%|███████▏  | 7735/10792 [52:22<17:00,  2.99it/s, loss=0.0390, rank=0.0143, reg=0.0247]
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train epoch 1/1:  72%|███████▏  | 7736/10792 [52:23<20:39,  2.47it/s, loss=0.1979, rank=0.0505, reg=0.1474]
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train epoch 1/1:  72%|███████▏  | 7737/10792 [52:23<17:25,  2.92it/s, loss=0.0560, rank=0.0392, reg=0.0168]
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train epoch 1/1:  72%|███████▏  | 7738/10792 [52:24<16:56,  3.00it/s, loss=0.0549, rank=0.0245, reg=0.0304]
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train epoch 1/1:  72%|███████▏  | 7804/10792 [52:49<20:16,  2.46it/s, loss=0.0831, rank=0.0310, reg=0.0520]
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train epoch 1/1:  72%|███████▏  | 7811/10792 [52:51<17:19,  2.87it/s, loss=0.0550, rank=0.0254, reg=0.0296]
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train epoch 1/1:  72%|███████▏  | 7812/10792 [52:52<17:10,  2.89it/s, loss=0.0718, rank=0.0413, reg=0.0305]
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train epoch 1/1:  72%|███████▏  | 7813/10792 [52:52<23:18,  2.13it/s, loss=0.0406, rank=0.0122, reg=0.0284]
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train epoch 1/1:  72%|███████▏  | 7819/10792 [52:55<26:18,  1.88it/s, loss=0.1184, rank=0.0815, reg=0.0368]
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train epoch 1/1:  72%|███████▏  | 7821/10792 [52:56<25:54,  1.91it/s, loss=0.0767, rank=0.0090, reg=0.0677]
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train epoch 1/1:  72%|███████▏  | 7822/10792 [52:57<22:51,  2.17it/s, loss=0.0555, rank=0.0195, reg=0.0360]
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train epoch 1/1:  72%|███████▏  | 7823/10792 [52:57<27:29,  1.80it/s, loss=0.1012, rank=0.0253, reg=0.0760]
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train epoch 1/1:  72%|███████▏  | 7824/10792 [52:58<22:10,  2.23it/s, loss=0.0140, rank=0.0000, reg=0.0140]
train epoch 1/1:  72%|███████▏  | 7824/10792 [52:58<22:10,  2.23it/s, loss=0.0551, rank=0.0406, reg=0.0146]
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train epoch 1/1:  73%|███████▎  | 7826/10792 [52:59<23:48,  2.08it/s, loss=0.1189, rank=0.0560, reg=0.0629]
train epoch 1/1:  73%|███████▎  | 7826/10792 [52:59<23:48,  2.08it/s, loss=0.0915, rank=0.0360, reg=0.0555]
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train epoch 1/1:  73%|███████▎  | 7827/10792 [52:59<19:07,  2.58it/s, loss=0.0320, rank=0.0145, reg=0.0175]
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train epoch 1/1:  73%|███████▎  | 7828/10792 [52:59<19:13,  2.57it/s, loss=0.0957, rank=0.0781, reg=0.0176]
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train epoch 1/1:  73%|███████▎  | 7829/10792 [53:00<16:58,  2.91it/s, loss=0.1426, rank=0.0719, reg=0.0707]
train epoch 1/1:  73%|███████▎  | 7830/10792 [53:00<14:08,  3.49it/s, loss=0.1426, rank=0.0719, reg=0.0707]
train epoch 1/1:  73%|███████▎  | 7830/10792 [53:00<14:08,  3.49it/s, loss=0.1007, rank=0.0398, reg=0.0610]
train epoch 1/1:  73%|███████▎  | 7831/10792 [53:00<12:53,  3.83it/s, loss=0.1007, rank=0.0398, reg=0.0610]
train epoch 1/1:  73%|███████▎  | 7831/10792 [53:00<12:53,  3.83it/s, loss=0.0484, rank=0.0375, reg=0.0110]
train epoch 1/1:  73%|███████▎  | 7832/10792 [53:00<13:30,  3.65it/s, loss=0.0484, rank=0.0375, reg=0.0110]
train epoch 1/1:  73%|███████▎  | 7832/10792 [53:01<13:30,  3.65it/s, loss=0.0145, rank=0.0000, reg=0.0145]
train epoch 1/1:  73%|███████▎  | 7833/10792 [53:01<21:31,  2.29it/s, loss=0.0145, rank=0.0000, reg=0.0145]
train epoch 1/1:  73%|███████▎  | 7833/10792 [53:02<21:31,  2.29it/s, loss=0.0292, rank=0.0127, reg=0.0165]
train epoch 1/1:  73%|███████▎  | 7834/10792 [53:02<25:05,  1.97it/s, loss=0.0292, rank=0.0127, reg=0.0165]
train epoch 1/1:  73%|███████▎  | 7834/10792 [53:02<25:05,  1.97it/s, loss=0.0564, rank=0.0120, reg=0.0444]
train epoch 1/1:  73%|███████▎  | 7835/10792 [53:02<24:54,  1.98it/s, loss=0.0564, rank=0.0120, reg=0.0444]
train epoch 1/1:  73%|███████▎  | 7835/10792 [53:02<24:54,  1.98it/s, loss=0.1003, rank=0.0365, reg=0.0639]
train epoch 1/1:  73%|███████▎  | 7836/10792 [53:02<21:17,  2.31it/s, loss=0.1003, rank=0.0365, reg=0.0639]
train epoch 1/1:  73%|███████▎  | 7836/10792 [53:03<21:17,  2.31it/s, loss=0.0921, rank=0.0696, reg=0.0225]
train epoch 1/1:  73%|███████▎  | 7837/10792 [53:03<30:31,  1.61it/s, loss=0.0921, rank=0.0696, reg=0.0225]
train epoch 1/1:  73%|███████▎  | 7837/10792 [53:04<30:31,  1.61it/s, loss=0.0618, rank=0.0264, reg=0.0354]
train epoch 1/1:  73%|███████▎  | 7838/10792 [53:04<26:50,  1.83it/s, loss=0.0618, rank=0.0264, reg=0.0354]
train epoch 1/1:  73%|███████▎  | 7838/10792 [53:04<26:50,  1.83it/s, loss=0.0539, rank=0.0174, reg=0.0365]
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train epoch 1/1:  73%|███████▎  | 7839/10792 [53:05<29:42,  1.66it/s, loss=0.1177, rank=0.0926, reg=0.0251]
train epoch 1/1:  73%|███████▎  | 7840/10792 [53:05<25:10,  1.95it/s, loss=0.1177, rank=0.0926, reg=0.0251]
train epoch 1/1:  73%|███████▎  | 7840/10792 [53:05<25:10,  1.95it/s, loss=0.0480, rank=0.0350, reg=0.0130]
train epoch 1/1:  73%|███████▎  | 7841/10792 [53:05<23:05,  2.13it/s, loss=0.0480, rank=0.0350, reg=0.0130]
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train epoch 1/1:  73%|███████▎  | 7842/10792 [53:06<28:36,  1.72it/s, loss=0.1164, rank=0.0723, reg=0.0442]
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train epoch 1/1:  73%|███████▎  | 7844/10792 [53:07<19:17,  2.55it/s, loss=0.1041, rank=0.0708, reg=0.0333]
train epoch 1/1:  73%|███████▎  | 7845/10792 [53:07<17:49,  2.75it/s, loss=0.1041, rank=0.0708, reg=0.0333]
train epoch 1/1:  73%|███████▎  | 7845/10792 [53:07<17:49,  2.75it/s, loss=0.1019, rank=0.0277, reg=0.0742]
train epoch 1/1:  73%|███████▎  | 7846/10792 [53:07<22:02,  2.23it/s, loss=0.1019, rank=0.0277, reg=0.0742]
train epoch 1/1:  73%|███████▎  | 7846/10792 [53:08<22:02,  2.23it/s, loss=0.0884, rank=0.0660, reg=0.0224]
train epoch 1/1:  73%|███████▎  | 7847/10792 [53:08<18:05,  2.71it/s, loss=0.0884, rank=0.0660, reg=0.0224]
train epoch 1/1:  73%|███████▎  | 7847/10792 [53:08<18:05,  2.71it/s, loss=0.0702, rank=0.0265, reg=0.0437]
train epoch 1/1:  73%|███████▎  | 7848/10792 [53:08<18:53,  2.60it/s, loss=0.0702, rank=0.0265, reg=0.0437]
train epoch 1/1:  73%|███████▎  | 7848/10792 [53:08<18:53,  2.60it/s, loss=0.0780, rank=0.0361, reg=0.0419]
train epoch 1/1:  73%|███████▎  | 7849/10792 [53:08<18:32,  2.64it/s, loss=0.0780, rank=0.0361, reg=0.0419]
train epoch 1/1:  73%|███████▎  | 7849/10792 [53:09<18:32,  2.64it/s, loss=0.0486, rank=0.0240, reg=0.0246]
train epoch 1/1:  73%|███████▎  | 7850/10792 [53:09<17:02,  2.88it/s, loss=0.0486, rank=0.0240, reg=0.0246]
train epoch 1/1:  73%|███████▎  | 7850/10792 [53:09<17:02,  2.88it/s, loss=0.0754, rank=0.0528, reg=0.0227]
train epoch 1/1:  73%|███████▎  | 7851/10792 [53:09<14:04,  3.48it/s, loss=0.0754, rank=0.0528, reg=0.0227]
train epoch 1/1:  73%|███████▎  | 7851/10792 [53:09<14:04,  3.48it/s, loss=0.0446, rank=0.0286, reg=0.0160]
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train epoch 1/1:  73%|███████▎  | 7853/10792 [53:09<13:51,  3.53it/s, loss=0.0877, rank=0.0642, reg=0.0235]
train epoch 1/1:  73%|███████▎  | 7853/10792 [53:10<13:51,  3.53it/s, loss=0.1327, rank=0.0563, reg=0.0764]
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train epoch 1/1:  73%|███████▎  | 7857/10792 [53:12<17:25,  2.81it/s, loss=0.1152, rank=0.0726, reg=0.0426]
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train epoch 1/1:  73%|███████▎  | 7860/10792 [53:12<13:55,  3.51it/s, loss=0.1233, rank=0.1070, reg=0.0163]
train epoch 1/1:  73%|███████▎  | 7860/10792 [53:12<13:55,  3.51it/s, loss=0.0696, rank=0.0413, reg=0.0283]
train epoch 1/1:  73%|███████▎  | 7861/10792 [53:12<13:24,  3.64it/s, loss=0.0696, rank=0.0413, reg=0.0283]
train epoch 1/1:  73%|███████▎  | 7861/10792 [53:12<13:24,  3.64it/s, loss=0.0185, rank=0.0097, reg=0.0088]
train epoch 1/1:  73%|███████▎  | 7862/10792 [53:12<11:55,  4.10it/s, loss=0.0185, rank=0.0097, reg=0.0088]
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train epoch 1/1:  73%|███████▎  | 7863/10792 [53:13<12:20,  3.96it/s, loss=0.1151, rank=0.0676, reg=0.0475]
train epoch 1/1:  73%|███████▎  | 7864/10792 [53:13<16:16,  3.00it/s, loss=0.1151, rank=0.0676, reg=0.0475]
train epoch 1/1:  73%|███████▎  | 7864/10792 [53:14<16:16,  3.00it/s, loss=0.0429, rank=0.0154, reg=0.0274]
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train epoch 1/1:  73%|███████▎  | 7866/10792 [53:14<17:50,  2.73it/s, loss=0.0675, rank=0.0571, reg=0.0104]
train epoch 1/1:  73%|███████▎  | 7866/10792 [53:15<17:50,  2.73it/s, loss=0.0378, rank=0.0329, reg=0.0050]
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train epoch 1/1:  73%|███████▎  | 7916/10792 [53:33<14:27,  3.32it/s, loss=0.0793, rank=0.0125, reg=0.0668]
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train epoch 1/1:  73%|███████▎  | 7923/10792 [53:35<14:58,  3.19it/s, loss=0.1816, rank=0.1411, reg=0.0404]
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train epoch 1/1:  73%|███████▎  | 7925/10792 [53:35<11:27,  4.17it/s, loss=0.1383, rank=0.0403, reg=0.0979]
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train epoch 1/1:  73%|███████▎  | 7926/10792 [53:35<11:07,  4.30it/s, loss=0.0893, rank=0.0584, reg=0.0308]
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train epoch 1/1:  74%|███████▎  | 7959/10792 [53:46<20:29,  2.30it/s, loss=0.0720, rank=0.0302, reg=0.0418]
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train epoch 1/1:  74%|███████▍  | 7961/10792 [53:47<17:10,  2.75it/s, loss=0.1256, rank=0.0567, reg=0.0688]
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train epoch 1/1:  74%|███████▍  | 7962/10792 [53:48<18:08,  2.60it/s, loss=0.1913, rank=0.0314, reg=0.1600]
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train epoch 1/1:  74%|███████▍  | 7963/10792 [53:48<18:59,  2.48it/s, loss=0.0445, rank=0.0147, reg=0.0298]
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train epoch 1/1:  74%|███████▍  | 7964/10792 [53:48<21:54,  2.15it/s, loss=0.1085, rank=0.1057, reg=0.0029]
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train epoch 1/1:  74%|███████▍  | 7965/10792 [53:49<17:07,  2.75it/s, loss=0.0830, rank=0.0367, reg=0.0463]
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train epoch 1/1:  74%|███████▍  | 8020/10792 [54:15<18:11,  2.54it/s, loss=0.0824, rank=0.0636, reg=0.0188]
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train epoch 1/1:  74%|███████▍  | 8024/10792 [54:16<16:19,  2.83it/s, loss=0.0528, rank=0.0397, reg=0.0132]
train epoch 1/1:  74%|███████▍  | 8024/10792 [54:16<16:19,  2.83it/s, loss=0.0850, rank=0.0219, reg=0.0630]
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train epoch 1/1:  74%|███████▍  | 8026/10792 [54:17<15:00,  3.07it/s, loss=0.0658, rank=0.0302, reg=0.0357]
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train epoch 1/1:  74%|███████▍  | 8027/10792 [54:17<13:35,  3.39it/s, loss=0.1035, rank=0.0790, reg=0.0245]
train epoch 1/1:  74%|███████▍  | 8028/10792 [54:17<14:46,  3.12it/s, loss=0.1035, rank=0.0790, reg=0.0245]
train epoch 1/1:  74%|███████▍  | 8028/10792 [54:17<14:46,  3.12it/s, loss=0.0255, rank=0.0129, reg=0.0126]
train epoch 1/1:  74%|███████▍  | 8029/10792 [54:17<12:15,  3.76it/s, loss=0.0255, rank=0.0129, reg=0.0126]
train epoch 1/1:  74%|███████▍  | 8029/10792 [54:17<12:15,  3.76it/s, loss=0.0570, rank=0.0427, reg=0.0144]
train epoch 1/1:  74%|███████▍  | 8030/10792 [54:17<11:30,  4.00it/s, loss=0.0570, rank=0.0427, reg=0.0144]
train epoch 1/1:  74%|███████▍  | 8030/10792 [54:18<11:30,  4.00it/s, loss=0.0902, rank=0.0640, reg=0.0262]
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train epoch 1/1:  74%|███████▍  | 8031/10792 [54:18<10:14,  4.50it/s, loss=0.0540, rank=0.0521, reg=0.0019]
train epoch 1/1:  74%|███████▍  | 8032/10792 [54:18<15:45,  2.92it/s, loss=0.0540, rank=0.0521, reg=0.0019]
train epoch 1/1:  74%|███████▍  | 8032/10792 [54:19<15:45,  2.92it/s, loss=0.0358, rank=0.0260, reg=0.0098]
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train epoch 1/1:  74%|███████▍  | 8033/10792 [54:19<17:09,  2.68it/s, loss=0.0604, rank=0.0542, reg=0.0062]
train epoch 1/1:  74%|███████▍  | 8034/10792 [54:19<18:14,  2.52it/s, loss=0.0604, rank=0.0542, reg=0.0062]
train epoch 1/1:  74%|███████▍  | 8034/10792 [54:19<18:14,  2.52it/s, loss=0.1492, rank=0.0621, reg=0.0872]
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train epoch 1/1:  74%|███████▍  | 8035/10792 [54:20<15:00,  3.06it/s, loss=0.0517, rank=0.0143, reg=0.0374]
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train epoch 1/1:  74%|███████▍  | 8036/10792 [54:20<18:55,  2.43it/s, loss=0.1194, rank=0.0346, reg=0.0848]
train epoch 1/1:  74%|███████▍  | 8037/10792 [54:20<15:32,  2.95it/s, loss=0.1194, rank=0.0346, reg=0.0848]
train epoch 1/1:  74%|███████▍  | 8037/10792 [54:20<15:32,  2.95it/s, loss=0.0402, rank=0.0230, reg=0.0172]
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train epoch 1/1:  74%|███████▍  | 8038/10792 [54:20<13:56,  3.29it/s, loss=0.0469, rank=0.0321, reg=0.0148]
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train epoch 1/1:  76%|███████▌  | 8219/10792 [55:33<21:22,  2.01it/s, loss=0.0604, rank=0.0171, reg=0.0433]
train epoch 1/1:  76%|███████▌  | 8220/10792 [55:33<19:10,  2.24it/s, loss=0.0604, rank=0.0171, reg=0.0433]
train epoch 1/1:  76%|███████▌  | 8220/10792 [55:33<19:10,  2.24it/s, loss=0.0931, rank=0.0495, reg=0.0436]
train epoch 1/1:  76%|███████▌  | 8221/10792 [55:33<15:54,  2.69it/s, loss=0.0931, rank=0.0495, reg=0.0436]
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train epoch 1/1:  77%|███████▋  | 8280/10792 [56:00<15:06,  2.77it/s, loss=0.1949, rank=0.0533, reg=0.1416]
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train epoch 1/1:  77%|███████▋  | 8282/10792 [56:01<31:35,  1.32it/s, loss=0.1286, rank=0.0648, reg=0.0639]
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train epoch 1/1:  77%|███████▋  | 8283/10792 [56:01<29:00,  1.44it/s, loss=0.1046, rank=0.0807, reg=0.0239]
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train epoch 1/1:  77%|███████▋  | 8284/10792 [56:01<23:19,  1.79it/s, loss=0.0446, rank=0.0373, reg=0.0073]
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train epoch 1/1:  77%|███████▋  | 8300/10792 [56:08<12:15,  3.39it/s, loss=0.0886, rank=0.0509, reg=0.0376]
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train epoch 1/1:  77%|███████▋  | 8310/10792 [56:11<18:11,  2.27it/s, loss=0.0739, rank=0.0412, reg=0.0327]
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train epoch 1/1:  77%|███████▋  | 8319/10792 [56:14<10:39,  3.87it/s, loss=0.0900, rank=0.0463, reg=0.0437]
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train epoch 1/1:  77%|███████▋  | 8336/10792 [56:21<12:10,  3.36it/s, loss=0.0904, rank=0.0649, reg=0.0256]
train epoch 1/1:  77%|███████▋  | 8337/10792 [56:21<16:01,  2.55it/s, loss=0.0904, rank=0.0649, reg=0.0256]
train epoch 1/1:  77%|███████▋  | 8337/10792 [56:22<16:01,  2.55it/s, loss=0.0672, rank=0.0252, reg=0.0420]
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train epoch 1/1:  77%|███████▋  | 8339/10792 [56:23<13:51,  2.95it/s, loss=0.0887, rank=0.0351, reg=0.0536]
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train epoch 1/1:  77%|███████▋  | 8341/10792 [56:23<19:52,  2.06it/s, loss=0.0642, rank=0.0500, reg=0.0142]
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train epoch 1/1:  77%|███████▋  | 8343/10792 [56:24<14:10,  2.88it/s, loss=0.0790, rank=0.0195, reg=0.0595]
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train epoch 1/1:  77%|███████▋  | 8346/10792 [56:26<17:39,  2.31it/s, loss=0.1005, rank=0.0394, reg=0.0611]
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train epoch 1/1:  77%|███████▋  | 8347/10792 [56:26<25:48,  1.58it/s, loss=0.0350, rank=0.0098, reg=0.0252]
train epoch 1/1:  77%|███████▋  | 8348/10792 [56:26<20:22,  2.00it/s, loss=0.0350, rank=0.0098, reg=0.0252]
train epoch 1/1:  77%|███████▋  | 8348/10792 [56:26<20:22,  2.00it/s, loss=0.2342, rank=0.0342, reg=0.2000]
train epoch 1/1:  77%|███████▋  | 8349/10792 [56:26<16:23,  2.48it/s, loss=0.2342, rank=0.0342, reg=0.2000]
train epoch 1/1:  77%|███████▋  | 8349/10792 [56:27<16:23,  2.48it/s, loss=0.0863, rank=0.0192, reg=0.0670]
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train epoch 1/1:  77%|███████▋  | 8353/10792 [56:29<20:59,  1.94it/s, loss=0.0440, rank=0.0131, reg=0.0309]
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train epoch 1/1:  77%|███████▋  | 8356/10792 [56:30<15:45,  2.58it/s, loss=0.0566, rank=0.0273, reg=0.0293]
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train epoch 1/1:  77%|███████▋  | 8357/10792 [56:30<19:45,  2.05it/s, loss=0.0758, rank=0.0281, reg=0.0477]
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train epoch 1/1:  78%|███████▊  | 8364/10792 [56:34<20:21,  1.99it/s, loss=0.0635, rank=0.0585, reg=0.0050]
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train epoch 1/1:  78%|███████▊  | 8366/10792 [56:35<20:03,  2.02it/s, loss=0.1321, rank=0.0745, reg=0.0576]
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train epoch 1/1:  78%|███████▊  | 8380/10792 [56:42<21:29,  1.87it/s, loss=0.0741, rank=0.0295, reg=0.0445]
train epoch 1/1:  78%|███████▊  | 8380/10792 [56:43<21:29,  1.87it/s, loss=0.0180, rank=0.0053, reg=0.0127]
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train epoch 1/1:  78%|███████▊  | 8386/10792 [56:45<13:19,  3.01it/s, loss=0.0934, rank=0.0527, reg=0.0407]
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train epoch 1/1:  78%|███████▊  | 8387/10792 [56:45<14:15,  2.81it/s, loss=0.0739, rank=0.0102, reg=0.0638]
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train epoch 1/1:  78%|███████▊  | 8397/10792 [56:49<15:02,  2.65it/s, loss=0.0365, rank=0.0038, reg=0.0328]
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train epoch 1/1:  78%|███████▊  | 8399/10792 [56:51<20:10,  1.98it/s, loss=0.0795, rank=0.0421, reg=0.0373]
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train epoch 1/1:  78%|███████▊  | 8400/10792 [56:51<22:05,  1.80it/s, loss=0.1078, rank=0.0747, reg=0.0331]
train epoch 1/1:  78%|███████▊  | 8401/10792 [56:51<18:25,  2.16it/s, loss=0.1078, rank=0.0747, reg=0.0331]
train epoch 1/1:  78%|███████▊  | 8401/10792 [56:51<18:25,  2.16it/s, loss=0.0598, rank=0.0436, reg=0.0161]
train epoch 1/1:  78%|███████▊  | 8402/10792 [56:51<15:22,  2.59it/s, loss=0.0598, rank=0.0436, reg=0.0161]
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train epoch 1/1:  78%|███████▊  | 8403/10792 [56:51<12:27,  3.20it/s, loss=0.0668, rank=0.0576, reg=0.0091]
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train epoch 1/1:  78%|███████▊  | 8406/10792 [56:53<14:44,  2.70it/s, loss=0.1004, rank=0.0619, reg=0.0385]
train epoch 1/1:  78%|███████▊  | 8406/10792 [56:53<14:44,  2.70it/s, loss=0.0702, rank=0.0482, reg=0.0219]
train epoch 1/1:  78%|███████▊  | 8407/10792 [56:53<13:12,  3.01it/s, loss=0.0702, rank=0.0482, reg=0.0219]
train epoch 1/1:  78%|███████▊  | 8407/10792 [56:53<13:12,  3.01it/s, loss=0.0690, rank=0.0347, reg=0.0343]
train epoch 1/1:  78%|███████▊  | 8408/10792 [56:53<12:52,  3.08it/s, loss=0.0690, rank=0.0347, reg=0.0343]
train epoch 1/1:  78%|███████▊  | 8408/10792 [56:54<12:52,  3.08it/s, loss=0.0385, rank=0.0287, reg=0.0098]
train epoch 1/1:  78%|███████▊  | 8409/10792 [56:54<14:45,  2.69it/s, loss=0.0385, rank=0.0287, reg=0.0098]
train epoch 1/1:  78%|███████▊  | 8409/10792 [56:54<14:45,  2.69it/s, loss=0.0933, rank=0.0605, reg=0.0328]
train epoch 1/1:  78%|███████▊  | 8410/10792 [56:54<15:13,  2.61it/s, loss=0.0933, rank=0.0605, reg=0.0328]
train epoch 1/1:  78%|███████▊  | 8410/10792 [56:54<15:13,  2.61it/s, loss=0.0510, rank=0.0445, reg=0.0065]
train epoch 1/1:  78%|███████▊  | 8411/10792 [56:54<14:04,  2.82it/s, loss=0.0510, rank=0.0445, reg=0.0065]
train epoch 1/1:  78%|███████▊  | 8411/10792 [56:55<14:04,  2.82it/s, loss=0.1050, rank=0.0565, reg=0.0484]
train epoch 1/1:  78%|███████▊  | 8412/10792 [56:55<15:48,  2.51it/s, loss=0.1050, rank=0.0565, reg=0.0484]
train epoch 1/1:  78%|███████▊  | 8412/10792 [56:56<15:48,  2.51it/s, loss=0.0571, rank=0.0265, reg=0.0306]
train epoch 1/1:  78%|███████▊  | 8413/10792 [56:56<22:46,  1.74it/s, loss=0.0571, rank=0.0265, reg=0.0306]
train epoch 1/1:  78%|███████▊  | 8413/10792 [56:56<22:46,  1.74it/s, loss=0.0843, rank=0.0328, reg=0.0515]
train epoch 1/1:  78%|███████▊  | 8414/10792 [56:56<21:44,  1.82it/s, loss=0.0843, rank=0.0328, reg=0.0515]
train epoch 1/1:  78%|███████▊  | 8414/10792 [56:57<21:44,  1.82it/s, loss=0.1840, rank=0.0747, reg=0.1094]
train epoch 1/1:  78%|███████▊  | 8415/10792 [56:57<24:06,  1.64it/s, loss=0.1840, rank=0.0747, reg=0.1094]
train epoch 1/1:  78%|███████▊  | 8415/10792 [56:58<24:06,  1.64it/s, loss=0.0502, rank=0.0267, reg=0.0234]
train epoch 1/1:  78%|███████▊  | 8416/10792 [56:58<21:25,  1.85it/s, loss=0.0502, rank=0.0267, reg=0.0234]
train epoch 1/1:  78%|███████▊  | 8416/10792 [56:58<21:25,  1.85it/s, loss=0.0925, rank=0.0079, reg=0.0846]
train epoch 1/1:  78%|███████▊  | 8417/10792 [56:58<20:03,  1.97it/s, loss=0.0925, rank=0.0079, reg=0.0846]
train epoch 1/1:  78%|███████▊  | 8417/10792 [56:59<20:03,  1.97it/s, loss=0.0349, rank=0.0148, reg=0.0200]
train epoch 1/1:  78%|███████▊  | 8418/10792 [56:59<23:23,  1.69it/s, loss=0.0349, rank=0.0148, reg=0.0200]
train epoch 1/1:  78%|███████▊  | 8418/10792 [56:59<23:23,  1.69it/s, loss=0.0416, rank=0.0287, reg=0.0130]
train epoch 1/1:  78%|███████▊  | 8419/10792 [56:59<21:33,  1.83it/s, loss=0.0416, rank=0.0287, reg=0.0130]
train epoch 1/1:  78%|███████▊  | 8419/10792 [57:00<21:33,  1.83it/s, loss=0.0597, rank=0.0258, reg=0.0340]
train epoch 1/1:  78%|███████▊  | 8420/10792 [57:00<18:58,  2.08it/s, loss=0.0597, rank=0.0258, reg=0.0340]
train epoch 1/1:  78%|███████▊  | 8420/10792 [57:00<18:58,  2.08it/s, loss=0.0583, rank=0.0355, reg=0.0228]
train epoch 1/1:  78%|███████▊  | 8421/10792 [57:00<19:28,  2.03it/s, loss=0.0583, rank=0.0355, reg=0.0228]
train epoch 1/1:  78%|███████▊  | 8421/10792 [57:01<19:28,  2.03it/s, loss=0.0936, rank=0.0750, reg=0.0185]
train epoch 1/1:  78%|███████▊  | 8422/10792 [57:01<19:06,  2.07it/s, loss=0.0936, rank=0.0750, reg=0.0185]
train epoch 1/1:  78%|███████▊  | 8422/10792 [57:01<19:06,  2.07it/s, loss=0.1087, rank=0.0607, reg=0.0480]
train epoch 1/1:  78%|███████▊  | 8423/10792 [57:01<14:57,  2.64it/s, loss=0.1087, rank=0.0607, reg=0.0480]
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train epoch 1/1:  78%|███████▊  | 8424/10792 [57:01<13:42,  2.88it/s, loss=0.0555, rank=0.0400, reg=0.0155]
train epoch 1/1:  78%|███████▊  | 8424/10792 [57:02<13:42,  2.88it/s, loss=0.0230, rank=0.0161, reg=0.0068]
train epoch 1/1:  78%|███████▊  | 8425/10792 [57:02<16:53,  2.34it/s, loss=0.0230, rank=0.0161, reg=0.0068]
train epoch 1/1:  78%|███████▊  | 8425/10792 [57:02<16:53,  2.34it/s, loss=0.0533, rank=0.0395, reg=0.0138]
train epoch 1/1:  78%|███████▊  | 8426/10792 [57:02<15:08,  2.61it/s, loss=0.0533, rank=0.0395, reg=0.0138]
train epoch 1/1:  78%|███████▊  | 8426/10792 [57:02<15:08,  2.61it/s, loss=0.0943, rank=0.0377, reg=0.0566]
train epoch 1/1:  78%|███████▊  | 8427/10792 [57:02<15:16,  2.58it/s, loss=0.0943, rank=0.0377, reg=0.0566]
train epoch 1/1:  78%|███████▊  | 8427/10792 [57:03<15:16,  2.58it/s, loss=0.0338, rank=0.0230, reg=0.0108]
train epoch 1/1:  78%|███████▊  | 8428/10792 [57:03<18:16,  2.16it/s, loss=0.0338, rank=0.0230, reg=0.0108]
train epoch 1/1:  78%|███████▊  | 8428/10792 [57:03<18:16,  2.16it/s, loss=0.0720, rank=0.0532, reg=0.0189]
train epoch 1/1:  78%|███████▊  | 8429/10792 [57:03<16:27,  2.39it/s, loss=0.0720, rank=0.0532, reg=0.0189]
train epoch 1/1:  78%|███████▊  | 8429/10792 [57:03<16:27,  2.39it/s, loss=0.0717, rank=0.0597, reg=0.0120]
train epoch 1/1:  78%|███████▊  | 8430/10792 [57:03<13:27,  2.92it/s, loss=0.0717, rank=0.0597, reg=0.0120]
train epoch 1/1:  78%|███████▊  | 8430/10792 [57:04<13:27,  2.92it/s, loss=0.0867, rank=0.0344, reg=0.0522]
train epoch 1/1:  78%|███████▊  | 8431/10792 [57:04<12:18,  3.19it/s, loss=0.0867, rank=0.0344, reg=0.0522]
train epoch 1/1:  78%|███████▊  | 8431/10792 [57:04<12:18,  3.19it/s, loss=0.1226, rank=0.0779, reg=0.0447]
train epoch 1/1:  78%|███████▊  | 8432/10792 [57:04<10:30,  3.75it/s, loss=0.1226, rank=0.0779, reg=0.0447]
train epoch 1/1:  78%|███████▊  | 8432/10792 [57:04<10:30,  3.75it/s, loss=0.0712, rank=0.0453, reg=0.0259]
train epoch 1/1:  78%|███████▊  | 8433/10792 [57:04<10:10,  3.86it/s, loss=0.0712, rank=0.0453, reg=0.0259]
train epoch 1/1:  78%|███████▊  | 8433/10792 [57:04<10:10,  3.86it/s, loss=0.1080, rank=0.0590, reg=0.0491]
train epoch 1/1:  78%|███████▊  | 8434/10792 [57:04<10:27,  3.76it/s, loss=0.1080, rank=0.0590, reg=0.0491]
train epoch 1/1:  78%|███████▊  | 8434/10792 [57:05<10:27,  3.76it/s, loss=0.0493, rank=0.0249, reg=0.0244]
train epoch 1/1:  78%|███████▊  | 8435/10792 [57:05<12:11,  3.22it/s, loss=0.0493, rank=0.0249, reg=0.0244]
train epoch 1/1:  78%|███████▊  | 8435/10792 [57:05<12:11,  3.22it/s, loss=0.1344, rank=0.0446, reg=0.0899]
train epoch 1/1:  78%|███████▊  | 8436/10792 [57:05<10:35,  3.71it/s, loss=0.1344, rank=0.0446, reg=0.0899]
train epoch 1/1:  78%|███████▊  | 8436/10792 [57:05<10:35,  3.71it/s, loss=0.0988, rank=0.0544, reg=0.0445]
train epoch 1/1:  78%|███████▊  | 8437/10792 [57:05<12:06,  3.24it/s, loss=0.0988, rank=0.0544, reg=0.0445]
train epoch 1/1:  78%|███████▊  | 8437/10792 [57:06<12:06,  3.24it/s, loss=0.1072, rank=0.0396, reg=0.0676]
train epoch 1/1:  78%|███████▊  | 8438/10792 [57:06<17:08,  2.29it/s, loss=0.1072, rank=0.0396, reg=0.0676]
train epoch 1/1:  78%|███████▊  | 8438/10792 [57:06<17:08,  2.29it/s, loss=0.0483, rank=0.0378, reg=0.0105]
train epoch 1/1:  78%|███████▊  | 8439/10792 [57:06<15:23,  2.55it/s, loss=0.0483, rank=0.0378, reg=0.0105]
train epoch 1/1:  78%|███████▊  | 8439/10792 [57:07<15:23,  2.55it/s, loss=0.0558, rank=0.0244, reg=0.0314]
train epoch 1/1:  78%|███████▊  | 8440/10792 [57:07<20:03,  1.95it/s, loss=0.0558, rank=0.0244, reg=0.0314]
train epoch 1/1:  78%|███████▊  | 8440/10792 [57:08<20:03,  1.95it/s, loss=0.0476, rank=0.0174, reg=0.0301]
train epoch 1/1:  78%|███████▊  | 8441/10792 [57:08<23:16,  1.68it/s, loss=0.0476, rank=0.0174, reg=0.0301]
train epoch 1/1:  78%|███████▊  | 8441/10792 [57:08<23:16,  1.68it/s, loss=0.1215, rank=0.1071, reg=0.0144]
train epoch 1/1:  78%|███████▊  | 8442/10792 [57:08<19:00,  2.06it/s, loss=0.1215, rank=0.1071, reg=0.0144]
train epoch 1/1:  78%|███████▊  | 8442/10792 [57:08<19:00,  2.06it/s, loss=0.2734, rank=0.0384, reg=0.2350]
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train epoch 1/1:  79%|███████▉  | 8539/10792 [57:47<19:45,  1.90it/s, loss=0.0409, rank=0.0246, reg=0.0163]
train epoch 1/1:  79%|███████▉  | 8540/10792 [57:47<17:25,  2.15it/s, loss=0.0409, rank=0.0246, reg=0.0163]
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train epoch 1/1:  79%|███████▉  | 8541/10792 [57:47<16:43,  2.24it/s, loss=0.0705, rank=0.0392, reg=0.0313]
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train epoch 1/1:  79%|███████▉  | 8550/10792 [57:50<14:10,  2.64it/s, loss=0.0418, rank=0.0233, reg=0.0184]
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train epoch 1/1:  80%|███████▉  | 8599/10792 [58:12<18:08,  2.02it/s, loss=0.0449, rank=0.0000, reg=0.0449]
train epoch 1/1:  80%|███████▉  | 8600/10792 [58:12<20:31,  1.78it/s, loss=0.0449, rank=0.0000, reg=0.0449]
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train epoch 1/1:  80%|███████▉  | 8601/10792 [58:13<18:46,  1.94it/s, loss=0.1471, rank=0.0621, reg=0.0850]
train epoch 1/1:  80%|███████▉  | 8602/10792 [58:13<14:59,  2.44it/s, loss=0.1471, rank=0.0621, reg=0.0850]
train epoch 1/1:  80%|███████▉  | 8602/10792 [58:13<14:59,  2.44it/s, loss=0.0263, rank=0.0156, reg=0.0107]
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train epoch 1/1:  80%|███████▉  | 8603/10792 [58:14<16:10,  2.26it/s, loss=0.0712, rank=0.0317, reg=0.0395]
train epoch 1/1:  80%|███████▉  | 8604/10792 [58:14<16:13,  2.25it/s, loss=0.0712, rank=0.0317, reg=0.0395]
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train epoch 1/1:  80%|███████▉  | 8605/10792 [58:14<13:34,  2.68it/s, loss=0.0680, rank=0.0388, reg=0.0292]
train epoch 1/1:  80%|███████▉  | 8605/10792 [58:14<13:34,  2.68it/s, loss=0.0692, rank=0.0502, reg=0.0190]
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train epoch 1/1:  80%|███████▉  | 8612/10792 [58:17<14:44,  2.46it/s, loss=0.0892, rank=0.0447, reg=0.0445]
train epoch 1/1:  80%|███████▉  | 8613/10792 [58:17<11:47,  3.08it/s, loss=0.0892, rank=0.0447, reg=0.0445]
train epoch 1/1:  80%|███████▉  | 8613/10792 [58:18<11:47,  3.08it/s, loss=0.0979, rank=0.0540, reg=0.0439]
train epoch 1/1:  80%|███████▉  | 8614/10792 [58:18<16:28,  2.20it/s, loss=0.0979, rank=0.0540, reg=0.0439]
train epoch 1/1:  80%|███████▉  | 8614/10792 [58:18<16:28,  2.20it/s, loss=0.0508, rank=0.0277, reg=0.0231]
train epoch 1/1:  80%|███████▉  | 8615/10792 [58:18<15:47,  2.30it/s, loss=0.0508, rank=0.0277, reg=0.0231]
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train epoch 1/1:  80%|███████▉  | 8616/10792 [58:18<14:52,  2.44it/s, loss=0.0357, rank=0.0085, reg=0.0271]
train epoch 1/1:  80%|███████▉  | 8616/10792 [58:19<14:52,  2.44it/s, loss=0.1206, rank=0.0553, reg=0.0654]
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train epoch 1/1:  80%|███████▉  | 8619/10792 [58:20<17:42,  2.04it/s, loss=0.3019, rank=0.0280, reg=0.2739]
train epoch 1/1:  80%|███████▉  | 8619/10792 [58:20<17:42,  2.04it/s, loss=0.0923, rank=0.0385, reg=0.0538]
train epoch 1/1:  80%|███████▉  | 8620/10792 [58:20<14:28,  2.50it/s, loss=0.0923, rank=0.0385, reg=0.0538]
train epoch 1/1:  80%|███████▉  | 8620/10792 [58:20<14:28,  2.50it/s, loss=0.0696, rank=0.0329, reg=0.0367]
train epoch 1/1:  80%|███████▉  | 8621/10792 [58:20<12:22,  2.92it/s, loss=0.0696, rank=0.0329, reg=0.0367]
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train epoch 1/1:  80%|███████▉  | 8622/10792 [58:20<11:34,  3.12it/s, loss=0.0734, rank=0.0617, reg=0.0117]
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train epoch 1/1:  80%|███████▉  | 8623/10792 [58:21<12:46,  2.83it/s, loss=0.0638, rank=0.0239, reg=0.0399]
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train epoch 1/1:  80%|███████▉  | 8624/10792 [58:22<18:19,  1.97it/s, loss=0.0723, rank=0.0411, reg=0.0312]
train epoch 1/1:  80%|███████▉  | 8624/10792 [58:22<18:19,  1.97it/s, loss=0.0334, rank=0.0174, reg=0.0160]
train epoch 1/1:  80%|███████▉  | 8625/10792 [58:22<15:36,  2.31it/s, loss=0.0334, rank=0.0174, reg=0.0160]
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train epoch 1/1:  80%|███████▉  | 8626/10792 [58:22<13:14,  2.73it/s, loss=0.0749, rank=0.0461, reg=0.0288]
train epoch 1/1:  80%|███████▉  | 8626/10792 [58:23<13:14,  2.73it/s, loss=0.0964, rank=0.0479, reg=0.0485]
train epoch 1/1:  80%|███████▉  | 8627/10792 [58:23<15:11,  2.37it/s, loss=0.0964, rank=0.0479, reg=0.0485]
train epoch 1/1:  80%|███████▉  | 8627/10792 [58:23<15:11,  2.37it/s, loss=0.0440, rank=0.0266, reg=0.0173]
train epoch 1/1:  80%|███████▉  | 8628/10792 [58:23<13:58,  2.58it/s, loss=0.0440, rank=0.0266, reg=0.0173]
train epoch 1/1:  80%|███████▉  | 8628/10792 [58:24<13:58,  2.58it/s, loss=0.0559, rank=0.0101, reg=0.0458]
train epoch 1/1:  80%|███████▉  | 8629/10792 [58:24<20:30,  1.76it/s, loss=0.0559, rank=0.0101, reg=0.0458]
train epoch 1/1:  80%|███████▉  | 8629/10792 [58:24<20:30,  1.76it/s, loss=0.0658, rank=0.0552, reg=0.0106]
train epoch 1/1:  80%|███████▉  | 8630/10792 [58:24<17:52,  2.02it/s, loss=0.0658, rank=0.0552, reg=0.0106]
train epoch 1/1:  80%|███████▉  | 8630/10792 [58:25<17:52,  2.02it/s, loss=0.0709, rank=0.0429, reg=0.0281]
train epoch 1/1:  80%|███████▉  | 8631/10792 [58:25<15:26,  2.33it/s, loss=0.0709, rank=0.0429, reg=0.0281]
train epoch 1/1:  80%|███████▉  | 8631/10792 [58:25<15:26,  2.33it/s, loss=0.0461, rank=0.0322, reg=0.0138]
train epoch 1/1:  80%|███████▉  | 8632/10792 [58:25<12:32,  2.87it/s, loss=0.0461, rank=0.0322, reg=0.0138]
train epoch 1/1:  80%|███████▉  | 8632/10792 [58:25<12:32,  2.87it/s, loss=0.0508, rank=0.0284, reg=0.0224]
train epoch 1/1:  80%|███████▉  | 8633/10792 [58:25<11:41,  3.08it/s, loss=0.0508, rank=0.0284, reg=0.0224]
train epoch 1/1:  80%|███████▉  | 8633/10792 [58:25<11:41,  3.08it/s, loss=0.0784, rank=0.0409, reg=0.0375]
train epoch 1/1:  80%|████████  | 8634/10792 [58:25<09:49,  3.66it/s, loss=0.0784, rank=0.0409, reg=0.0375]
train epoch 1/1:  80%|████████  | 8634/10792 [58:25<09:49,  3.66it/s, loss=0.0912, rank=0.0447, reg=0.0466]
train epoch 1/1:  80%|████████  | 8635/10792 [58:25<08:57,  4.02it/s, loss=0.0912, rank=0.0447, reg=0.0466]
train epoch 1/1:  80%|████████  | 8635/10792 [58:26<08:57,  4.02it/s, loss=0.0558, rank=0.0475, reg=0.0083]
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train epoch 1/1:  81%|████████  | 8735/10792 [59:07<21:12,  1.62it/s, loss=0.0971, rank=0.0335, reg=0.0636]
train epoch 1/1:  81%|████████  | 8735/10792 [59:07<21:12,  1.62it/s, loss=0.0699, rank=0.0438, reg=0.0262]
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train epoch 1/1:  81%|████████  | 8736/10792 [59:07<17:01,  2.01it/s, loss=0.1612, rank=0.0856, reg=0.0757]
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train epoch 1/1:  81%|████████  | 8737/10792 [59:07<13:54,  2.46it/s, loss=0.0957, rank=0.0673, reg=0.0284]
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train epoch 1/1:  81%|████████  | 8740/10792 [59:08<10:26,  3.27it/s, loss=0.0308, rank=0.0269, reg=0.0039]
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train epoch 1/1:  81%|████████  | 8742/10792 [59:09<09:13,  3.71it/s, loss=0.2278, rank=0.0357, reg=0.1920]
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train epoch 1/1:  81%|████████  | 8743/10792 [59:09<09:23,  3.64it/s, loss=0.0802, rank=0.0663, reg=0.0139]
train epoch 1/1:  81%|████████  | 8744/10792 [59:09<08:22,  4.07it/s, loss=0.0802, rank=0.0663, reg=0.0139]
train epoch 1/1:  81%|████████  | 8744/10792 [59:09<08:22,  4.07it/s, loss=0.0189, rank=0.0002, reg=0.0188]
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train epoch 1/1:  81%|████████  | 8747/10792 [59:10<08:55,  3.82it/s, loss=0.0956, rank=0.0562, reg=0.0394]
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train epoch 1/1:  81%|████████  | 8748/10792 [59:10<08:28,  4.02it/s, loss=0.1109, rank=0.0385, reg=0.0724]
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train epoch 1/1:  81%|████████  | 8750/10792 [59:11<10:13,  3.33it/s, loss=0.1550, rank=0.0594, reg=0.0956]
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train epoch 1/1:  81%|████████  | 8752/10792 [59:12<10:08,  3.35it/s, loss=0.0999, rank=0.0714, reg=0.0285]
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train epoch 1/1:  81%|████████  | 8768/10792 [59:18<14:51,  2.27it/s, loss=0.1088, rank=0.0430, reg=0.0658]
train epoch 1/1:  81%|████████  | 8768/10792 [59:19<14:51,  2.27it/s, loss=0.0565, rank=0.0403, reg=0.0161]
train epoch 1/1:  81%|████████▏ | 8769/10792 [59:19<18:24,  1.83it/s, loss=0.0565, rank=0.0403, reg=0.0161]
train epoch 1/1:  81%|████████▏ | 8769/10792 [59:19<18:24,  1.83it/s, loss=0.0444, rank=0.0268, reg=0.0176]
train epoch 1/1:  81%|████████▏ | 8770/10792 [59:19<14:58,  2.25it/s, loss=0.0444, rank=0.0268, reg=0.0176]
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train epoch 1/1:  81%|████████▏ | 8771/10792 [59:19<12:32,  2.69it/s, loss=0.0661, rank=0.0418, reg=0.0243]
train epoch 1/1:  81%|████████▏ | 8771/10792 [59:19<12:32,  2.69it/s, loss=0.0941, rank=0.0279, reg=0.0663]
train epoch 1/1:  81%|████████▏ | 8772/10792 [59:19<11:14,  3.00it/s, loss=0.0941, rank=0.0279, reg=0.0663]
train epoch 1/1:  81%|████████▏ | 8772/10792 [59:20<11:14,  3.00it/s, loss=0.0526, rank=0.0296, reg=0.0230]
train epoch 1/1:  81%|████████▏ | 8773/10792 [59:20<15:04,  2.23it/s, loss=0.0526, rank=0.0296, reg=0.0230]
train epoch 1/1:  81%|████████▏ | 8773/10792 [59:20<15:04,  2.23it/s, loss=0.1603, rank=0.0237, reg=0.1367]
train epoch 1/1:  81%|████████▏ | 8774/10792 [59:20<14:21,  2.34it/s, loss=0.1603, rank=0.0237, reg=0.1367]
train epoch 1/1:  81%|████████▏ | 8774/10792 [59:21<14:21,  2.34it/s, loss=0.0696, rank=0.0208, reg=0.0488]
train epoch 1/1:  81%|████████▏ | 8775/10792 [59:21<13:00,  2.59it/s, loss=0.0696, rank=0.0208, reg=0.0488]
train epoch 1/1:  81%|████████▏ | 8775/10792 [59:21<13:00,  2.59it/s, loss=0.1495, rank=0.1154, reg=0.0340]
train epoch 1/1:  81%|████████▏ | 8776/10792 [59:21<11:15,  2.98it/s, loss=0.1495, rank=0.1154, reg=0.0340]
train epoch 1/1:  81%|████████▏ | 8776/10792 [59:21<11:15,  2.98it/s, loss=0.0700, rank=0.0546, reg=0.0154]
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train epoch 1/1:  81%|████████▏ | 8778/10792 [59:21<12:08,  2.76it/s, loss=0.1294, rank=0.0143, reg=0.1151]
train epoch 1/1:  81%|████████▏ | 8778/10792 [59:22<12:08,  2.76it/s, loss=0.1078, rank=0.0836, reg=0.0242]
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train epoch 1/1:  81%|████████▏ | 8780/10792 [59:22<15:27,  2.17it/s, loss=0.0962, rank=0.0532, reg=0.0430]
train epoch 1/1:  81%|████████▏ | 8780/10792 [59:23<15:27,  2.17it/s, loss=0.0757, rank=0.0437, reg=0.0320]
train epoch 1/1:  81%|████████▏ | 8781/10792 [59:23<14:00,  2.39it/s, loss=0.0757, rank=0.0437, reg=0.0320]
train epoch 1/1:  81%|████████▏ | 8781/10792 [59:23<14:00,  2.39it/s, loss=0.0865, rank=0.0730, reg=0.0135]
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train epoch 1/1:  81%|████████▏ | 8784/10792 [59:24<09:27,  3.54it/s, loss=0.0673, rank=0.0313, reg=0.0359]
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train epoch 1/1:  81%|████████▏ | 8785/10792 [59:25<11:57,  2.80it/s, loss=0.1196, rank=0.0442, reg=0.0755]
train epoch 1/1:  81%|████████▏ | 8786/10792 [59:25<20:20,  1.64it/s, loss=0.1196, rank=0.0442, reg=0.0755]
train epoch 1/1:  81%|████████▏ | 8786/10792 [59:26<20:20,  1.64it/s, loss=0.1341, rank=0.0312, reg=0.1029]
train epoch 1/1:  81%|████████▏ | 8787/10792 [59:26<18:30,  1.81it/s, loss=0.1341, rank=0.0312, reg=0.1029]
train epoch 1/1:  81%|████████▏ | 8787/10792 [59:26<18:30,  1.81it/s, loss=0.1131, rank=0.0445, reg=0.0686]
train epoch 1/1:  81%|████████▏ | 8788/10792 [59:26<15:43,  2.12it/s, loss=0.1131, rank=0.0445, reg=0.0686]
train epoch 1/1:  81%|████████▏ | 8788/10792 [59:26<15:43,  2.12it/s, loss=0.0594, rank=0.0462, reg=0.0132]
train epoch 1/1:  81%|████████▏ | 8789/10792 [59:26<12:45,  2.62it/s, loss=0.0594, rank=0.0462, reg=0.0132]
train epoch 1/1:  81%|████████▏ | 8789/10792 [59:26<12:45,  2.62it/s, loss=0.1356, rank=0.0625, reg=0.0731]
train epoch 1/1:  81%|████████▏ | 8790/10792 [59:26<11:30,  2.90it/s, loss=0.1356, rank=0.0625, reg=0.0731]
train epoch 1/1:  81%|████████▏ | 8790/10792 [59:27<11:30,  2.90it/s, loss=0.0869, rank=0.0524, reg=0.0345]
train epoch 1/1:  81%|████████▏ | 8791/10792 [59:27<10:51,  3.07it/s, loss=0.0869, rank=0.0524, reg=0.0345]
train epoch 1/1:  81%|████████▏ | 8791/10792 [59:27<10:51,  3.07it/s, loss=0.0534, rank=0.0260, reg=0.0274]
train epoch 1/1:  81%|████████▏ | 8792/10792 [59:27<11:19,  2.95it/s, loss=0.0534, rank=0.0260, reg=0.0274]
train epoch 1/1:  81%|████████▏ | 8792/10792 [59:28<11:19,  2.95it/s, loss=0.1005, rank=0.0151, reg=0.0854]
train epoch 1/1:  81%|████████▏ | 8793/10792 [59:28<16:53,  1.97it/s, loss=0.1005, rank=0.0151, reg=0.0854]
train epoch 1/1:  81%|████████▏ | 8793/10792 [59:28<16:53,  1.97it/s, loss=0.0775, rank=0.0381, reg=0.0394]
train epoch 1/1:  81%|████████▏ | 8794/10792 [59:28<13:45,  2.42it/s, loss=0.0775, rank=0.0381, reg=0.0394]
train epoch 1/1:  81%|████████▏ | 8794/10792 [59:28<13:45,  2.42it/s, loss=0.1986, rank=0.0917, reg=0.1068]
train epoch 1/1:  81%|████████▏ | 8795/10792 [59:28<13:22,  2.49it/s, loss=0.1986, rank=0.0917, reg=0.1068]
train epoch 1/1:  81%|████████▏ | 8795/10792 [59:29<13:22,  2.49it/s, loss=0.0384, rank=0.0000, reg=0.0384]
train epoch 1/1:  82%|████████▏ | 8796/10792 [59:29<15:38,  2.13it/s, loss=0.0384, rank=0.0000, reg=0.0384]
train epoch 1/1:  82%|████████▏ | 8796/10792 [59:29<15:38,  2.13it/s, loss=0.0300, rank=0.0060, reg=0.0240]
train epoch 1/1:  82%|████████▏ | 8797/10792 [59:29<13:58,  2.38it/s, loss=0.0300, rank=0.0060, reg=0.0240]
train epoch 1/1:  82%|████████▏ | 8797/10792 [59:30<13:58,  2.38it/s, loss=0.0696, rank=0.0521, reg=0.0175]
train epoch 1/1:  82%|████████▏ | 8798/10792 [59:30<12:18,  2.70it/s, loss=0.0696, rank=0.0521, reg=0.0175]
train epoch 1/1:  82%|████████▏ | 8798/10792 [59:30<12:18,  2.70it/s, loss=0.0673, rank=0.0206, reg=0.0467]
train epoch 1/1:  82%|████████▏ | 8799/10792 [59:30<13:17,  2.50it/s, loss=0.0673, rank=0.0206, reg=0.0467]
train epoch 1/1:  82%|████████▏ | 8799/10792 [59:30<13:17,  2.50it/s, loss=0.0643, rank=0.0277, reg=0.0366]
train epoch 1/1:  82%|████████▏ | 8800/10792 [59:30<11:07,  2.98it/s, loss=0.0643, rank=0.0277, reg=0.0366]
train epoch 1/1:  82%|████████▏ | 8800/10792 [59:30<11:07,  2.98it/s, loss=0.0521, rank=0.0290, reg=0.0231]
train epoch 1/1:  82%|████████▏ | 8801/10792 [59:30<09:29,  3.49it/s, loss=0.0521, rank=0.0290, reg=0.0231]
train epoch 1/1:  82%|████████▏ | 8801/10792 [59:31<09:29,  3.49it/s, loss=0.0678, rank=0.0501, reg=0.0177]
train epoch 1/1:  82%|████████▏ | 8802/10792 [59:31<09:17,  3.57it/s, loss=0.0678, rank=0.0501, reg=0.0177]
train epoch 1/1:  82%|████████▏ | 8802/10792 [59:31<09:17,  3.57it/s, loss=0.1326, rank=0.0548, reg=0.0778]
train epoch 1/1:  82%|████████▏ | 8803/10792 [59:31<08:15,  4.01it/s, loss=0.1326, rank=0.0548, reg=0.0778]
train epoch 1/1:  82%|████████▏ | 8803/10792 [59:31<08:15,  4.01it/s, loss=0.0384, rank=0.0266, reg=0.0118]
train epoch 1/1:  82%|████████▏ | 8804/10792 [59:31<08:11,  4.04it/s, loss=0.0384, rank=0.0266, reg=0.0118]
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train epoch 1/1:  82%|████████▏ | 8805/10792 [59:31<08:16,  4.00it/s, loss=0.0500, rank=0.0229, reg=0.0271]
train epoch 1/1:  82%|████████▏ | 8805/10792 [59:32<08:16,  4.00it/s, loss=0.1294, rank=0.0917, reg=0.0377]
train epoch 1/1:  82%|████████▏ | 8806/10792 [59:32<08:49,  3.75it/s, loss=0.1294, rank=0.0917, reg=0.0377]
train epoch 1/1:  82%|████████▏ | 8806/10792 [59:32<08:49,  3.75it/s, loss=0.0512, rank=0.0410, reg=0.0102]
train epoch 1/1:  82%|████████▏ | 8807/10792 [59:32<08:32,  3.88it/s, loss=0.0512, rank=0.0410, reg=0.0102]
train epoch 1/1:  82%|████████▏ | 8807/10792 [59:32<08:32,  3.88it/s, loss=0.0506, rank=0.0345, reg=0.0161]
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train epoch 1/1:  82%|████████▏ | 8808/10792 [59:33<08:06,  4.08it/s, loss=0.0863, rank=0.0434, reg=0.0430]
train epoch 1/1:  82%|████████▏ | 8809/10792 [59:33<09:13,  3.58it/s, loss=0.0863, rank=0.0434, reg=0.0430]
train epoch 1/1:  82%|████████▏ | 8809/10792 [59:33<09:13,  3.58it/s, loss=0.0684, rank=0.0396, reg=0.0288]
train epoch 1/1:  82%|████████▏ | 8810/10792 [59:33<13:44,  2.40it/s, loss=0.0684, rank=0.0396, reg=0.0288]
train epoch 1/1:  82%|████████▏ | 8810/10792 [59:33<13:44,  2.40it/s, loss=0.0652, rank=0.0409, reg=0.0242]
train epoch 1/1:  82%|████████▏ | 8811/10792 [59:33<11:40,  2.83it/s, loss=0.0652, rank=0.0409, reg=0.0242]
train epoch 1/1:  82%|████████▏ | 8811/10792 [59:34<11:40,  2.83it/s, loss=0.0899, rank=0.0615, reg=0.0284]
train epoch 1/1:  82%|████████▏ | 8812/10792 [59:34<11:02,  2.99it/s, loss=0.0899, rank=0.0615, reg=0.0284]
train epoch 1/1:  82%|████████▏ | 8812/10792 [59:34<11:02,  2.99it/s, loss=0.0890, rank=0.0530, reg=0.0359]
train epoch 1/1:  82%|████████▏ | 8813/10792 [59:34<11:01,  2.99it/s, loss=0.0890, rank=0.0530, reg=0.0359]
train epoch 1/1:  82%|████████▏ | 8813/10792 [59:34<11:01,  2.99it/s, loss=0.0403, rank=0.0250, reg=0.0154]
train epoch 1/1:  82%|████████▏ | 8814/10792 [59:34<11:53,  2.77it/s, loss=0.0403, rank=0.0250, reg=0.0154]
train epoch 1/1:  82%|████████▏ | 8814/10792 [59:35<11:53,  2.77it/s, loss=0.1581, rank=0.0649, reg=0.0932]
train epoch 1/1:  82%|████████▏ | 8815/10792 [59:35<09:34,  3.44it/s, loss=0.1581, rank=0.0649, reg=0.0932]
train epoch 1/1:  82%|████████▏ | 8815/10792 [59:35<09:34,  3.44it/s, loss=0.0351, rank=0.0254, reg=0.0097]
train epoch 1/1:  82%|████████▏ | 8816/10792 [59:35<09:56,  3.31it/s, loss=0.0351, rank=0.0254, reg=0.0097]
train epoch 1/1:  82%|████████▏ | 8816/10792 [59:36<09:56,  3.31it/s, loss=0.0773, rank=0.0127, reg=0.0646]
train epoch 1/1:  82%|████████▏ | 8817/10792 [59:36<13:31,  2.43it/s, loss=0.0773, rank=0.0127, reg=0.0646]
train epoch 1/1:  82%|████████▏ | 8817/10792 [59:36<13:31,  2.43it/s, loss=0.0702, rank=0.0146, reg=0.0556]
train epoch 1/1:  82%|████████▏ | 8818/10792 [59:36<16:51,  1.95it/s, loss=0.0702, rank=0.0146, reg=0.0556]
train epoch 1/1:  82%|████████▏ | 8818/10792 [59:37<16:51,  1.95it/s, loss=0.1338, rank=0.0873, reg=0.0466]
train epoch 1/1:  82%|████████▏ | 8819/10792 [59:37<14:27,  2.27it/s, loss=0.1338, rank=0.0873, reg=0.0466]
train epoch 1/1:  82%|████████▏ | 8819/10792 [59:37<14:27,  2.27it/s, loss=0.1011, rank=0.0187, reg=0.0824]
train epoch 1/1:  82%|████████▏ | 8820/10792 [59:37<16:05,  2.04it/s, loss=0.1011, rank=0.0187, reg=0.0824]
train epoch 1/1:  82%|████████▏ | 8820/10792 [59:38<16:05,  2.04it/s, loss=0.0965, rank=0.0593, reg=0.0372]
train epoch 1/1:  82%|████████▏ | 8821/10792 [59:38<18:33,  1.77it/s, loss=0.0965, rank=0.0593, reg=0.0372]
train epoch 1/1:  82%|████████▏ | 8821/10792 [59:38<18:33,  1.77it/s, loss=0.0675, rank=0.0517, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8822/10792 [59:38<15:52,  2.07it/s, loss=0.0675, rank=0.0517, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8822/10792 [59:39<15:52,  2.07it/s, loss=0.0766, rank=0.0612, reg=0.0154]
train epoch 1/1:  82%|████████▏ | 8823/10792 [59:39<16:24,  2.00it/s, loss=0.0766, rank=0.0612, reg=0.0154]
train epoch 1/1:  82%|████████▏ | 8823/10792 [59:39<16:24,  2.00it/s, loss=0.0747, rank=0.0504, reg=0.0243]
train epoch 1/1:  82%|████████▏ | 8824/10792 [59:39<14:26,  2.27it/s, loss=0.0747, rank=0.0504, reg=0.0243]
train epoch 1/1:  82%|████████▏ | 8824/10792 [59:40<14:26,  2.27it/s, loss=0.1253, rank=0.0453, reg=0.0800]
train epoch 1/1:  82%|████████▏ | 8825/10792 [59:40<18:38,  1.76it/s, loss=0.1253, rank=0.0453, reg=0.0800]
train epoch 1/1:  82%|████████▏ | 8825/10792 [59:41<18:38,  1.76it/s, loss=0.0578, rank=0.0121, reg=0.0457]
train epoch 1/1:  82%|████████▏ | 8826/10792 [59:41<20:16,  1.62it/s, loss=0.0578, rank=0.0121, reg=0.0457]
train epoch 1/1:  82%|████████▏ | 8826/10792 [59:41<20:16,  1.62it/s, loss=0.0584, rank=0.0328, reg=0.0256]
train epoch 1/1:  82%|████████▏ | 8827/10792 [59:41<20:57,  1.56it/s, loss=0.0584, rank=0.0328, reg=0.0256]
train epoch 1/1:  82%|████████▏ | 8827/10792 [59:42<20:57,  1.56it/s, loss=0.0926, rank=0.0501, reg=0.0425]
train epoch 1/1:  82%|████████▏ | 8828/10792 [59:42<17:36,  1.86it/s, loss=0.0926, rank=0.0501, reg=0.0425]
train epoch 1/1:  82%|████████▏ | 8828/10792 [59:42<17:36,  1.86it/s, loss=0.1104, rank=0.0451, reg=0.0653]
train epoch 1/1:  82%|████████▏ | 8829/10792 [59:42<14:17,  2.29it/s, loss=0.1104, rank=0.0451, reg=0.0653]
train epoch 1/1:  82%|████████▏ | 8829/10792 [59:43<14:17,  2.29it/s, loss=0.0740, rank=0.0563, reg=0.0176]
train epoch 1/1:  82%|████████▏ | 8830/10792 [59:43<21:59,  1.49it/s, loss=0.0740, rank=0.0563, reg=0.0176]
train epoch 1/1:  82%|████████▏ | 8830/10792 [59:43<21:59,  1.49it/s, loss=0.0789, rank=0.0504, reg=0.0285]
train epoch 1/1:  82%|████████▏ | 8831/10792 [59:43<17:39,  1.85it/s, loss=0.0789, rank=0.0504, reg=0.0285]
train epoch 1/1:  82%|████████▏ | 8831/10792 [59:44<17:39,  1.85it/s, loss=0.1086, rank=0.0370, reg=0.0716]
train epoch 1/1:  82%|████████▏ | 8832/10792 [59:44<19:55,  1.64it/s, loss=0.1086, rank=0.0370, reg=0.0716]
train epoch 1/1:  82%|████████▏ | 8832/10792 [59:44<19:55,  1.64it/s, loss=0.1770, rank=0.0493, reg=0.1276]
train epoch 1/1:  82%|████████▏ | 8833/10792 [59:44<15:45,  2.07it/s, loss=0.1770, rank=0.0493, reg=0.1276]
train epoch 1/1:  82%|████████▏ | 8833/10792 [59:45<15:45,  2.07it/s, loss=0.1703, rank=0.0984, reg=0.0720]
train epoch 1/1:  82%|████████▏ | 8834/10792 [59:45<18:06,  1.80it/s, loss=0.1703, rank=0.0984, reg=0.0720]
train epoch 1/1:  82%|████████▏ | 8834/10792 [59:45<18:06,  1.80it/s, loss=0.0792, rank=0.0363, reg=0.0429]
train epoch 1/1:  82%|████████▏ | 8835/10792 [59:45<15:14,  2.14it/s, loss=0.0792, rank=0.0363, reg=0.0429]
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train epoch 1/1:  82%|████████▏ | 8836/10792 [59:46<14:37,  2.23it/s, loss=0.0779, rank=0.0381, reg=0.0398]
train epoch 1/1:  82%|████████▏ | 8836/10792 [59:46<14:37,  2.23it/s, loss=0.0933, rank=0.0322, reg=0.0611]
train epoch 1/1:  82%|████████▏ | 8837/10792 [59:46<12:43,  2.56it/s, loss=0.0933, rank=0.0322, reg=0.0611]
train epoch 1/1:  82%|████████▏ | 8837/10792 [59:47<12:43,  2.56it/s, loss=0.0435, rank=0.0277, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8838/10792 [59:47<16:02,  2.03it/s, loss=0.0435, rank=0.0277, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8838/10792 [59:47<16:02,  2.03it/s, loss=0.0493, rank=0.0365, reg=0.0128]
train epoch 1/1:  82%|████████▏ | 8839/10792 [59:47<14:15,  2.28it/s, loss=0.0493, rank=0.0365, reg=0.0128]
train epoch 1/1:  82%|████████▏ | 8839/10792 [59:48<14:15,  2.28it/s, loss=0.0632, rank=0.0251, reg=0.0380]
train epoch 1/1:  82%|████████▏ | 8840/10792 [59:48<19:32,  1.66it/s, loss=0.0632, rank=0.0251, reg=0.0380]
train epoch 1/1:  82%|████████▏ | 8840/10792 [59:48<19:32,  1.66it/s, loss=0.0620, rank=0.0453, reg=0.0167]
train epoch 1/1:  82%|████████▏ | 8841/10792 [59:48<16:29,  1.97it/s, loss=0.0620, rank=0.0453, reg=0.0167]
train epoch 1/1:  82%|████████▏ | 8841/10792 [59:48<16:29,  1.97it/s, loss=0.0360, rank=0.0256, reg=0.0104]
train epoch 1/1:  82%|████████▏ | 8842/10792 [59:48<13:21,  2.43it/s, loss=0.0360, rank=0.0256, reg=0.0104]
train epoch 1/1:  82%|████████▏ | 8842/10792 [59:49<13:21,  2.43it/s, loss=0.0513, rank=0.0127, reg=0.0386]
train epoch 1/1:  82%|████████▏ | 8843/10792 [59:49<13:03,  2.49it/s, loss=0.0513, rank=0.0127, reg=0.0386]
train epoch 1/1:  82%|████████▏ | 8843/10792 [59:49<13:03,  2.49it/s, loss=0.0692, rank=0.0477, reg=0.0215]
train epoch 1/1:  82%|████████▏ | 8844/10792 [59:49<10:47,  3.01it/s, loss=0.0692, rank=0.0477, reg=0.0215]
train epoch 1/1:  82%|████████▏ | 8844/10792 [59:50<10:47,  3.01it/s, loss=0.2471, rank=0.0356, reg=0.2115]
train epoch 1/1:  82%|████████▏ | 8845/10792 [59:50<13:55,  2.33it/s, loss=0.2471, rank=0.0356, reg=0.2115]
train epoch 1/1:  82%|████████▏ | 8845/10792 [59:50<13:55,  2.33it/s, loss=0.0748, rank=0.0649, reg=0.0100]
train epoch 1/1:  82%|████████▏ | 8846/10792 [59:50<11:50,  2.74it/s, loss=0.0748, rank=0.0649, reg=0.0100]
train epoch 1/1:  82%|████████▏ | 8846/10792 [59:50<11:50,  2.74it/s, loss=0.0693, rank=0.0502, reg=0.0191]
train epoch 1/1:  82%|████████▏ | 8847/10792 [59:50<13:19,  2.43it/s, loss=0.0693, rank=0.0502, reg=0.0191]
train epoch 1/1:  82%|████████▏ | 8847/10792 [59:51<13:19,  2.43it/s, loss=0.0608, rank=0.0373, reg=0.0235]
train epoch 1/1:  82%|████████▏ | 8848/10792 [59:51<13:24,  2.42it/s, loss=0.0608, rank=0.0373, reg=0.0235]
train epoch 1/1:  82%|████████▏ | 8848/10792 [59:52<13:24,  2.42it/s, loss=0.0270, rank=0.0085, reg=0.0186]
train epoch 1/1:  82%|████████▏ | 8849/10792 [59:52<16:27,  1.97it/s, loss=0.0270, rank=0.0085, reg=0.0186]
train epoch 1/1:  82%|████████▏ | 8849/10792 [59:52<16:27,  1.97it/s, loss=0.1142, rank=0.0146, reg=0.0996]
train epoch 1/1:  82%|████████▏ | 8850/10792 [59:52<17:48,  1.82it/s, loss=0.1142, rank=0.0146, reg=0.0996]
train epoch 1/1:  82%|████████▏ | 8850/10792 [59:52<17:48,  1.82it/s, loss=0.0890, rank=0.0612, reg=0.0278]
train epoch 1/1:  82%|████████▏ | 8851/10792 [59:52<15:22,  2.10it/s, loss=0.0890, rank=0.0612, reg=0.0278]
train epoch 1/1:  82%|████████▏ | 8851/10792 [59:53<15:22,  2.10it/s, loss=0.0388, rank=0.0289, reg=0.0098]
train epoch 1/1:  82%|████████▏ | 8852/10792 [59:53<14:35,  2.22it/s, loss=0.0388, rank=0.0289, reg=0.0098]
train epoch 1/1:  82%|████████▏ | 8852/10792 [59:54<14:35,  2.22it/s, loss=0.0856, rank=0.0569, reg=0.0288]
train epoch 1/1:  82%|████████▏ | 8853/10792 [59:54<17:13,  1.88it/s, loss=0.0856, rank=0.0569, reg=0.0288]
train epoch 1/1:  82%|████████▏ | 8853/10792 [59:54<17:13,  1.88it/s, loss=0.0700, rank=0.0231, reg=0.0469]
train epoch 1/1:  82%|████████▏ | 8854/10792 [59:54<15:07,  2.14it/s, loss=0.0700, rank=0.0231, reg=0.0469]
train epoch 1/1:  82%|████████▏ | 8854/10792 [59:54<15:07,  2.14it/s, loss=0.0898, rank=0.0339, reg=0.0559]
train epoch 1/1:  82%|████████▏ | 8855/10792 [59:54<12:05,  2.67it/s, loss=0.0898, rank=0.0339, reg=0.0559]
train epoch 1/1:  82%|████████▏ | 8855/10792 [59:54<12:05,  2.67it/s, loss=0.1481, rank=0.0520, reg=0.0961]
train epoch 1/1:  82%|████████▏ | 8856/10792 [59:54<10:07,  3.19it/s, loss=0.1481, rank=0.0520, reg=0.0961]
train epoch 1/1:  82%|████████▏ | 8856/10792 [59:55<10:07,  3.19it/s, loss=0.0936, rank=0.0304, reg=0.0632]
train epoch 1/1:  82%|████████▏ | 8857/10792 [59:55<13:07,  2.46it/s, loss=0.0936, rank=0.0304, reg=0.0632]
train epoch 1/1:  82%|████████▏ | 8857/10792 [59:55<13:07,  2.46it/s, loss=0.1129, rank=0.0856, reg=0.0273]
train epoch 1/1:  82%|████████▏ | 8858/10792 [59:55<11:20,  2.84it/s, loss=0.1129, rank=0.0856, reg=0.0273]
train epoch 1/1:  82%|████████▏ | 8858/10792 [59:55<11:20,  2.84it/s, loss=0.1142, rank=0.0121, reg=0.1020]
train epoch 1/1:  82%|████████▏ | 8859/10792 [59:55<10:12,  3.16it/s, loss=0.1142, rank=0.0121, reg=0.1020]
train epoch 1/1:  82%|████████▏ | 8859/10792 [59:56<10:12,  3.16it/s, loss=0.1074, rank=0.0544, reg=0.0531]
train epoch 1/1:  82%|████████▏ | 8860/10792 [59:56<08:56,  3.60it/s, loss=0.1074, rank=0.0544, reg=0.0531]
train epoch 1/1:  82%|████████▏ | 8860/10792 [59:56<08:56,  3.60it/s, loss=0.2032, rank=0.0627, reg=0.1404]
train epoch 1/1:  82%|████████▏ | 8861/10792 [59:56<11:05,  2.90it/s, loss=0.2032, rank=0.0627, reg=0.1404]
train epoch 1/1:  82%|████████▏ | 8861/10792 [59:56<11:05,  2.90it/s, loss=0.0832, rank=0.0749, reg=0.0083]
train epoch 1/1:  82%|████████▏ | 8862/10792 [59:56<09:05,  3.54it/s, loss=0.0832, rank=0.0749, reg=0.0083]
train epoch 1/1:  82%|████████▏ | 8862/10792 [59:57<09:05,  3.54it/s, loss=0.0854, rank=0.0424, reg=0.0429]
train epoch 1/1:  82%|████████▏ | 8863/10792 [59:57<09:43,  3.30it/s, loss=0.0854, rank=0.0424, reg=0.0429]
train epoch 1/1:  82%|████████▏ | 8863/10792 [59:57<09:43,  3.30it/s, loss=0.0882, rank=0.0584, reg=0.0298]
train epoch 1/1:  82%|████████▏ | 8864/10792 [59:57<08:38,  3.72it/s, loss=0.0882, rank=0.0584, reg=0.0298]
train epoch 1/1:  82%|████████▏ | 8864/10792 [59:57<08:38,  3.72it/s, loss=0.0858, rank=0.0454, reg=0.0404]
train epoch 1/1:  82%|████████▏ | 8865/10792 [59:57<07:09,  4.49it/s, loss=0.0858, rank=0.0454, reg=0.0404]
train epoch 1/1:  82%|████████▏ | 8865/10792 [59:57<07:09,  4.49it/s, loss=0.0879, rank=0.0624, reg=0.0255]
train epoch 1/1:  82%|████████▏ | 8866/10792 [59:57<08:09,  3.93it/s, loss=0.0879, rank=0.0624, reg=0.0255]
train epoch 1/1:  82%|████████▏ | 8866/10792 [59:58<08:09,  3.93it/s, loss=0.0242, rank=0.0150, reg=0.0092]
train epoch 1/1:  82%|████████▏ | 8867/10792 [59:58<10:00,  3.21it/s, loss=0.0242, rank=0.0150, reg=0.0092]
train epoch 1/1:  82%|████████▏ | 8867/10792 [59:58<10:00,  3.21it/s, loss=0.1264, rank=0.0570, reg=0.0694]
train epoch 1/1:  82%|████████▏ | 8868/10792 [59:58<11:52,  2.70it/s, loss=0.1264, rank=0.0570, reg=0.0694]
train epoch 1/1:  82%|████████▏ | 8868/10792 [59:59<11:52,  2.70it/s, loss=0.0391, rank=0.0124, reg=0.0267]
train epoch 1/1:  82%|████████▏ | 8869/10792 [59:59<15:38,  2.05it/s, loss=0.0391, rank=0.0124, reg=0.0267]
train epoch 1/1:  82%|████████▏ | 8869/10792 [59:59<15:38,  2.05it/s, loss=0.1034, rank=0.0514, reg=0.0520]
train epoch 1/1:  82%|████████▏ | 8870/10792 [59:59<13:23,  2.39it/s, loss=0.1034, rank=0.0514, reg=0.0520]
train epoch 1/1:  82%|████████▏ | 8870/10792 [1:00:00<13:23,  2.39it/s, loss=0.0851, rank=0.0408, reg=0.0442]
train epoch 1/1:  82%|████████▏ | 8871/10792 [1:00:00<15:47,  2.03it/s, loss=0.0851, rank=0.0408, reg=0.0442]
train epoch 1/1:  82%|████████▏ | 8871/10792 [1:00:00<15:47,  2.03it/s, loss=0.1175, rank=0.1089, reg=0.0086]
train epoch 1/1:  82%|████████▏ | 8872/10792 [1:00:00<13:15,  2.41it/s, loss=0.1175, rank=0.1089, reg=0.0086]
train epoch 1/1:  82%|████████▏ | 8872/10792 [1:00:00<13:15,  2.41it/s, loss=0.0931, rank=0.0857, reg=0.0074]
train epoch 1/1:  82%|████████▏ | 8873/10792 [1:00:00<10:32,  3.03it/s, loss=0.0931, rank=0.0857, reg=0.0074]
train epoch 1/1:  82%|████████▏ | 8873/10792 [1:00:00<10:32,  3.03it/s, loss=0.0693, rank=0.0436, reg=0.0257]
train epoch 1/1:  82%|████████▏ | 8874/10792 [1:00:00<10:33,  3.03it/s, loss=0.0693, rank=0.0436, reg=0.0257]
train epoch 1/1:  82%|████████▏ | 8874/10792 [1:00:01<10:33,  3.03it/s, loss=0.0980, rank=0.0473, reg=0.0507]
train epoch 1/1:  82%|████████▏ | 8875/10792 [1:00:01<14:52,  2.15it/s, loss=0.0980, rank=0.0473, reg=0.0507]
train epoch 1/1:  82%|████████▏ | 8875/10792 [1:00:02<14:52,  2.15it/s, loss=0.0601, rank=0.0260, reg=0.0341]
train epoch 1/1:  82%|████████▏ | 8876/10792 [1:00:02<15:29,  2.06it/s, loss=0.0601, rank=0.0260, reg=0.0341]
train epoch 1/1:  82%|████████▏ | 8876/10792 [1:00:02<15:29,  2.06it/s, loss=0.0911, rank=0.0357, reg=0.0553]
train epoch 1/1:  82%|████████▏ | 8877/10792 [1:00:02<15:18,  2.09it/s, loss=0.0911, rank=0.0357, reg=0.0553]
train epoch 1/1:  82%|████████▏ | 8877/10792 [1:00:03<15:18,  2.09it/s, loss=0.0573, rank=0.0372, reg=0.0201]
train epoch 1/1:  82%|████████▏ | 8878/10792 [1:00:03<16:14,  1.96it/s, loss=0.0573, rank=0.0372, reg=0.0201]
train epoch 1/1:  82%|████████▏ | 8878/10792 [1:00:03<16:14,  1.96it/s, loss=0.0743, rank=0.0415, reg=0.0328]
train epoch 1/1:  82%|████████▏ | 8879/10792 [1:00:03<17:12,  1.85it/s, loss=0.0743, rank=0.0415, reg=0.0328]
train epoch 1/1:  82%|████████▏ | 8879/10792 [1:00:04<17:12,  1.85it/s, loss=0.0792, rank=0.0251, reg=0.0541]
train epoch 1/1:  82%|████████▏ | 8880/10792 [1:00:04<19:28,  1.64it/s, loss=0.0792, rank=0.0251, reg=0.0541]
train epoch 1/1:  82%|████████▏ | 8880/10792 [1:00:05<19:28,  1.64it/s, loss=0.0832, rank=0.0530, reg=0.0302]
train epoch 1/1:  82%|████████▏ | 8881/10792 [1:00:05<22:07,  1.44it/s, loss=0.0832, rank=0.0530, reg=0.0302]
train epoch 1/1:  82%|████████▏ | 8881/10792 [1:00:06<22:07,  1.44it/s, loss=0.0467, rank=0.0048, reg=0.0419]
train epoch 1/1:  82%|████████▏ | 8882/10792 [1:00:06<26:33,  1.20it/s, loss=0.0467, rank=0.0048, reg=0.0419]
train epoch 1/1:  82%|████████▏ | 8882/10792 [1:00:06<26:33,  1.20it/s, loss=0.0604, rank=0.0415, reg=0.0189]
train epoch 1/1:  82%|████████▏ | 8883/10792 [1:00:06<20:18,  1.57it/s, loss=0.0604, rank=0.0415, reg=0.0189]
train epoch 1/1:  82%|████████▏ | 8883/10792 [1:00:07<20:18,  1.57it/s, loss=0.1008, rank=0.0875, reg=0.0133]
train epoch 1/1:  82%|████████▏ | 8884/10792 [1:00:07<16:38,  1.91it/s, loss=0.1008, rank=0.0875, reg=0.0133]
train epoch 1/1:  82%|████████▏ | 8884/10792 [1:00:07<16:38,  1.91it/s, loss=0.0559, rank=0.0183, reg=0.0377]
train epoch 1/1:  82%|████████▏ | 8885/10792 [1:00:07<15:10,  2.09it/s, loss=0.0559, rank=0.0183, reg=0.0377]
train epoch 1/1:  82%|████████▏ | 8885/10792 [1:00:07<15:10,  2.09it/s, loss=0.0628, rank=0.0359, reg=0.0269]
train epoch 1/1:  82%|████████▏ | 8886/10792 [1:00:07<11:58,  2.65it/s, loss=0.0628, rank=0.0359, reg=0.0269]
train epoch 1/1:  82%|████████▏ | 8886/10792 [1:00:07<11:58,  2.65it/s, loss=0.0451, rank=0.0000, reg=0.0451]
train epoch 1/1:  82%|████████▏ | 8887/10792 [1:00:07<10:51,  2.92it/s, loss=0.0451, rank=0.0000, reg=0.0451]
train epoch 1/1:  82%|████████▏ | 8887/10792 [1:00:08<10:51,  2.92it/s, loss=0.1230, rank=0.0488, reg=0.0741]
train epoch 1/1:  82%|████████▏ | 8888/10792 [1:00:08<09:18,  3.41it/s, loss=0.1230, rank=0.0488, reg=0.0741]
train epoch 1/1:  82%|████████▏ | 8888/10792 [1:00:08<09:18,  3.41it/s, loss=0.0214, rank=0.0096, reg=0.0118]
train epoch 1/1:  82%|████████▏ | 8889/10792 [1:00:08<12:16,  2.59it/s, loss=0.0214, rank=0.0096, reg=0.0118]
train epoch 1/1:  82%|████████▏ | 8889/10792 [1:00:09<12:16,  2.59it/s, loss=0.0815, rank=0.0306, reg=0.0508]
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train epoch 1/1:  82%|████████▏ | 8890/10792 [1:00:09<12:20,  2.57it/s, loss=0.0940, rank=0.0664, reg=0.0277]
train epoch 1/1:  82%|████████▏ | 8891/10792 [1:00:09<11:39,  2.72it/s, loss=0.0940, rank=0.0664, reg=0.0277]
train epoch 1/1:  82%|████████▏ | 8891/10792 [1:00:10<11:39,  2.72it/s, loss=0.0852, rank=0.0590, reg=0.0262]
train epoch 1/1:  82%|████████▏ | 8892/10792 [1:00:10<15:47,  2.01it/s, loss=0.0852, rank=0.0590, reg=0.0262]
train epoch 1/1:  82%|████████▏ | 8892/10792 [1:00:10<15:47,  2.01it/s, loss=0.2179, rank=0.0148, reg=0.2030]
train epoch 1/1:  82%|████████▏ | 8893/10792 [1:00:10<14:11,  2.23it/s, loss=0.2179, rank=0.0148, reg=0.2030]
train epoch 1/1:  82%|████████▏ | 8893/10792 [1:00:10<14:11,  2.23it/s, loss=0.0363, rank=0.0129, reg=0.0234]
train epoch 1/1:  82%|████████▏ | 8894/10792 [1:00:10<12:09,  2.60it/s, loss=0.0363, rank=0.0129, reg=0.0234]
train epoch 1/1:  82%|████████▏ | 8894/10792 [1:00:11<12:09,  2.60it/s, loss=0.0148, rank=0.0086, reg=0.0062]
train epoch 1/1:  82%|████████▏ | 8895/10792 [1:00:11<10:43,  2.95it/s, loss=0.0148, rank=0.0086, reg=0.0062]
train epoch 1/1:  82%|████████▏ | 8895/10792 [1:00:11<10:43,  2.95it/s, loss=0.1044, rank=0.0545, reg=0.0499]
train epoch 1/1:  82%|████████▏ | 8896/10792 [1:00:11<10:42,  2.95it/s, loss=0.1044, rank=0.0545, reg=0.0499]
train epoch 1/1:  82%|████████▏ | 8896/10792 [1:00:11<10:42,  2.95it/s, loss=0.0922, rank=0.0449, reg=0.0473]
train epoch 1/1:  82%|████████▏ | 8897/10792 [1:00:11<08:29,  3.72it/s, loss=0.0922, rank=0.0449, reg=0.0473]
train epoch 1/1:  82%|████████▏ | 8897/10792 [1:00:11<08:29,  3.72it/s, loss=0.0344, rank=0.0197, reg=0.0147]
train epoch 1/1:  82%|████████▏ | 8898/10792 [1:00:11<07:53,  4.00it/s, loss=0.0344, rank=0.0197, reg=0.0147]
train epoch 1/1:  82%|████████▏ | 8898/10792 [1:00:12<07:53,  4.00it/s, loss=0.0470, rank=0.0394, reg=0.0076]
train epoch 1/1:  82%|████████▏ | 8899/10792 [1:00:12<11:34,  2.72it/s, loss=0.0470, rank=0.0394, reg=0.0076]
train epoch 1/1:  82%|████████▏ | 8899/10792 [1:00:12<11:34,  2.72it/s, loss=0.0452, rank=0.0259, reg=0.0192]
train epoch 1/1:  82%|████████▏ | 8900/10792 [1:00:12<11:56,  2.64it/s, loss=0.0452, rank=0.0259, reg=0.0192]
train epoch 1/1:  82%|████████▏ | 8900/10792 [1:00:13<11:56,  2.64it/s, loss=0.0797, rank=0.0615, reg=0.0182]
train epoch 1/1:  82%|████████▏ | 8901/10792 [1:00:13<12:41,  2.48it/s, loss=0.0797, rank=0.0615, reg=0.0182]
train epoch 1/1:  82%|████████▏ | 8901/10792 [1:00:13<12:41,  2.48it/s, loss=0.2071, rank=0.0050, reg=0.2021]
train epoch 1/1:  82%|████████▏ | 8902/10792 [1:00:13<11:55,  2.64it/s, loss=0.2071, rank=0.0050, reg=0.2021]
train epoch 1/1:  82%|████████▏ | 8902/10792 [1:00:14<11:55,  2.64it/s, loss=0.0622, rank=0.0463, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8903/10792 [1:00:14<13:03,  2.41it/s, loss=0.0622, rank=0.0463, reg=0.0158]
train epoch 1/1:  82%|████████▏ | 8903/10792 [1:00:14<13:03,  2.41it/s, loss=0.0303, rank=0.0206, reg=0.0097]
train epoch 1/1:  83%|████████▎ | 8904/10792 [1:00:14<15:51,  1.98it/s, loss=0.0303, rank=0.0206, reg=0.0097]
train epoch 1/1:  83%|████████▎ | 8904/10792 [1:00:14<15:51,  1.98it/s, loss=0.0662, rank=0.0442, reg=0.0220]
train epoch 1/1:  83%|████████▎ | 8905/10792 [1:00:14<12:47,  2.46it/s, loss=0.0662, rank=0.0442, reg=0.0220]
train epoch 1/1:  83%|████████▎ | 8905/10792 [1:00:15<12:47,  2.46it/s, loss=0.0490, rank=0.0210, reg=0.0280]
train epoch 1/1:  83%|████████▎ | 8906/10792 [1:00:15<10:41,  2.94it/s, loss=0.0490, rank=0.0210, reg=0.0280]
train epoch 1/1:  83%|████████▎ | 8906/10792 [1:00:15<10:41,  2.94it/s, loss=0.0422, rank=0.0189, reg=0.0233]
train epoch 1/1:  83%|████████▎ | 8907/10792 [1:00:15<13:29,  2.33it/s, loss=0.0422, rank=0.0189, reg=0.0233]
train epoch 1/1:  83%|████████▎ | 8907/10792 [1:00:16<13:29,  2.33it/s, loss=0.1391, rank=0.0000, reg=0.1391]
train epoch 1/1:  83%|████████▎ | 8908/10792 [1:00:16<11:58,  2.62it/s, loss=0.1391, rank=0.0000, reg=0.1391]
train epoch 1/1:  83%|████████▎ | 8908/10792 [1:00:16<11:58,  2.62it/s, loss=0.0997, rank=0.0461, reg=0.0536]
train epoch 1/1:  83%|████████▎ | 8909/10792 [1:00:16<15:32,  2.02it/s, loss=0.0997, rank=0.0461, reg=0.0536]
train epoch 1/1:  83%|████████▎ | 8909/10792 [1:00:17<15:32,  2.02it/s, loss=0.0564, rank=0.0297, reg=0.0267]
train epoch 1/1:  83%|████████▎ | 8910/10792 [1:00:17<13:14,  2.37it/s, loss=0.0564, rank=0.0297, reg=0.0267]
train epoch 1/1:  83%|████████▎ | 8910/10792 [1:00:17<13:14,  2.37it/s, loss=0.0756, rank=0.0195, reg=0.0561]
train epoch 1/1:  83%|████████▎ | 8911/10792 [1:00:17<11:04,  2.83it/s, loss=0.0756, rank=0.0195, reg=0.0561]
train epoch 1/1:  83%|████████▎ | 8911/10792 [1:00:17<11:04,  2.83it/s, loss=0.0273, rank=0.0124, reg=0.0148]
train epoch 1/1:  83%|████████▎ | 8912/10792 [1:00:17<10:01,  3.12it/s, loss=0.0273, rank=0.0124, reg=0.0148]
train epoch 1/1:  83%|████████▎ | 8912/10792 [1:00:18<10:01,  3.12it/s, loss=0.0595, rank=0.0385, reg=0.0210]
train epoch 1/1:  83%|████████▎ | 8913/10792 [1:00:18<13:57,  2.24it/s, loss=0.0595, rank=0.0385, reg=0.0210]
train epoch 1/1:  83%|████████▎ | 8913/10792 [1:00:18<13:57,  2.24it/s, loss=0.0938, rank=0.0656, reg=0.0282]
train epoch 1/1:  83%|████████▎ | 8914/10792 [1:00:18<11:12,  2.79it/s, loss=0.0938, rank=0.0656, reg=0.0282]
train epoch 1/1:  83%|████████▎ | 8914/10792 [1:00:18<11:12,  2.79it/s, loss=0.1007, rank=0.0530, reg=0.0476]
train epoch 1/1:  83%|████████▎ | 8915/10792 [1:00:18<13:20,  2.35it/s, loss=0.1007, rank=0.0530, reg=0.0476]
train epoch 1/1:  83%|████████▎ | 8915/10792 [1:00:19<13:20,  2.35it/s, loss=0.0605, rank=0.0505, reg=0.0100]
train epoch 1/1:  83%|████████▎ | 8916/10792 [1:00:19<16:10,  1.93it/s, loss=0.0605, rank=0.0505, reg=0.0100]
train epoch 1/1:  83%|████████▎ | 8916/10792 [1:00:20<16:10,  1.93it/s, loss=0.0695, rank=0.0482, reg=0.0214]
train epoch 1/1:  83%|████████▎ | 8917/10792 [1:00:20<19:42,  1.59it/s, loss=0.0695, rank=0.0482, reg=0.0214]
train epoch 1/1:  83%|████████▎ | 8917/10792 [1:00:21<19:42,  1.59it/s, loss=0.0802, rank=0.0380, reg=0.0422]
train epoch 1/1:  83%|████████▎ | 8918/10792 [1:00:21<23:42,  1.32it/s, loss=0.0802, rank=0.0380, reg=0.0422]
train epoch 1/1:  83%|████████▎ | 8918/10792 [1:00:22<23:42,  1.32it/s, loss=0.2713, rank=0.0582, reg=0.2131]
train epoch 1/1:  83%|████████▎ | 8919/10792 [1:00:22<24:52,  1.25it/s, loss=0.2713, rank=0.0582, reg=0.2131]
train epoch 1/1:  83%|████████▎ | 8919/10792 [1:00:22<24:52,  1.25it/s, loss=0.2963, rank=0.0551, reg=0.2412]
train epoch 1/1:  83%|████████▎ | 8920/10792 [1:00:22<20:18,  1.54it/s, loss=0.2963, rank=0.0551, reg=0.2412]
train epoch 1/1:  83%|████████▎ | 8920/10792 [1:00:23<20:18,  1.54it/s, loss=0.0609, rank=0.0256, reg=0.0353]
train epoch 1/1:  83%|████████▎ | 8921/10792 [1:00:23<18:12,  1.71it/s, loss=0.0609, rank=0.0256, reg=0.0353]
train epoch 1/1:  83%|████████▎ | 8921/10792 [1:00:23<18:12,  1.71it/s, loss=0.0276, rank=0.0145, reg=0.0130]
train epoch 1/1:  83%|████████▎ | 8922/10792 [1:00:23<17:01,  1.83it/s, loss=0.0276, rank=0.0145, reg=0.0130]
train epoch 1/1:  83%|████████▎ | 8922/10792 [1:00:23<17:01,  1.83it/s, loss=0.0342, rank=0.0265, reg=0.0077]
train epoch 1/1:  83%|████████▎ | 8923/10792 [1:00:23<13:21,  2.33it/s, loss=0.0342, rank=0.0265, reg=0.0077]
train epoch 1/1:  83%|████████▎ | 8923/10792 [1:00:24<13:21,  2.33it/s, loss=0.0727, rank=0.0502, reg=0.0225]
train epoch 1/1:  83%|████████▎ | 8924/10792 [1:00:24<16:44,  1.86it/s, loss=0.0727, rank=0.0502, reg=0.0225]
train epoch 1/1:  83%|████████▎ | 8924/10792 [1:00:24<16:44,  1.86it/s, loss=0.0430, rank=0.0331, reg=0.0100]
train epoch 1/1:  83%|████████▎ | 8925/10792 [1:00:24<13:03,  2.38it/s, loss=0.0430, rank=0.0331, reg=0.0100]
train epoch 1/1:  83%|████████▎ | 8925/10792 [1:00:25<13:03,  2.38it/s, loss=0.0164, rank=0.0073, reg=0.0090]
train epoch 1/1:  83%|████████▎ | 8926/10792 [1:00:25<10:47,  2.88it/s, loss=0.0164, rank=0.0073, reg=0.0090]
train epoch 1/1:  83%|████████▎ | 8926/10792 [1:00:25<10:47,  2.88it/s, loss=0.0699, rank=0.0538, reg=0.0161]
train epoch 1/1:  83%|████████▎ | 8927/10792 [1:00:25<08:42,  3.57it/s, loss=0.0699, rank=0.0538, reg=0.0161]
train epoch 1/1:  83%|████████▎ | 8927/10792 [1:00:25<08:42,  3.57it/s, loss=0.0624, rank=0.0320, reg=0.0303]
train epoch 1/1:  83%|████████▎ | 8928/10792 [1:00:25<07:48,  3.98it/s, loss=0.0624, rank=0.0320, reg=0.0303]
train epoch 1/1:  83%|████████▎ | 8928/10792 [1:00:25<07:48,  3.98it/s, loss=0.0921, rank=0.0458, reg=0.0462]
train epoch 1/1:  83%|████████▎ | 8929/10792 [1:00:25<07:33,  4.11it/s, loss=0.0921, rank=0.0458, reg=0.0462]
train epoch 1/1:  83%|████████▎ | 8929/10792 [1:00:25<07:33,  4.11it/s, loss=0.0788, rank=0.0455, reg=0.0333]
train epoch 1/1:  83%|████████▎ | 8930/10792 [1:00:25<07:13,  4.30it/s, loss=0.0788, rank=0.0455, reg=0.0333]
train epoch 1/1:  83%|████████▎ | 8930/10792 [1:00:26<07:13,  4.30it/s, loss=0.1148, rank=0.0483, reg=0.0665]
train epoch 1/1:  83%|████████▎ | 8931/10792 [1:00:26<10:19,  3.00it/s, loss=0.1148, rank=0.0483, reg=0.0665]
train epoch 1/1:  83%|████████▎ | 8931/10792 [1:00:27<10:19,  3.00it/s, loss=0.1936, rank=0.0404, reg=0.1531]
train epoch 1/1:  83%|████████▎ | 8932/10792 [1:00:27<15:01,  2.06it/s, loss=0.1936, rank=0.0404, reg=0.1531]
train epoch 1/1:  83%|████████▎ | 8932/10792 [1:00:27<15:01,  2.06it/s, loss=0.0486, rank=0.0316, reg=0.0170]
train epoch 1/1:  83%|████████▎ | 8933/10792 [1:00:27<11:52,  2.61it/s, loss=0.0486, rank=0.0316, reg=0.0170]
train epoch 1/1:  83%|████████▎ | 8933/10792 [1:00:27<11:52,  2.61it/s, loss=0.1123, rank=0.0638, reg=0.0484]
train epoch 1/1:  83%|████████▎ | 8934/10792 [1:00:27<09:33,  3.24it/s, loss=0.1123, rank=0.0638, reg=0.0484]
train epoch 1/1:  83%|████████▎ | 8934/10792 [1:00:27<09:33,  3.24it/s, loss=0.0655, rank=0.0446, reg=0.0208]
train epoch 1/1:  83%|████████▎ | 8935/10792 [1:00:27<09:33,  3.24it/s, loss=0.0655, rank=0.0446, reg=0.0208]
train epoch 1/1:  83%|████████▎ | 8935/10792 [1:00:27<09:33,  3.24it/s, loss=0.1246, rank=0.0559, reg=0.0687]
train epoch 1/1:  83%|████████▎ | 8936/10792 [1:00:27<08:31,  3.63it/s, loss=0.1246, rank=0.0559, reg=0.0687]
train epoch 1/1:  83%|████████▎ | 8936/10792 [1:00:28<08:31,  3.63it/s, loss=0.0485, rank=0.0144, reg=0.0341]
train epoch 1/1:  83%|████████▎ | 8937/10792 [1:00:28<08:42,  3.55it/s, loss=0.0485, rank=0.0144, reg=0.0341]
train epoch 1/1:  83%|████████▎ | 8937/10792 [1:00:28<08:42,  3.55it/s, loss=0.0319, rank=0.0059, reg=0.0259]
train epoch 1/1:  83%|████████▎ | 8938/10792 [1:00:28<09:46,  3.16it/s, loss=0.0319, rank=0.0059, reg=0.0259]
train epoch 1/1:  83%|████████▎ | 8938/10792 [1:00:28<09:46,  3.16it/s, loss=0.1172, rank=0.0491, reg=0.0681]
train epoch 1/1:  83%|████████▎ | 8939/10792 [1:00:28<09:48,  3.15it/s, loss=0.1172, rank=0.0491, reg=0.0681]
train epoch 1/1:  83%|████████▎ | 8939/10792 [1:00:29<09:48,  3.15it/s, loss=0.0251, rank=0.0000, reg=0.0251]
train epoch 1/1:  83%|████████▎ | 8940/10792 [1:00:29<12:19,  2.51it/s, loss=0.0251, rank=0.0000, reg=0.0251]
train epoch 1/1:  83%|████████▎ | 8940/10792 [1:00:30<12:19,  2.51it/s, loss=0.0708, rank=0.0541, reg=0.0167]
train epoch 1/1:  83%|████████▎ | 8941/10792 [1:00:30<13:17,  2.32it/s, loss=0.0708, rank=0.0541, reg=0.0167]
train epoch 1/1:  83%|████████▎ | 8941/10792 [1:00:30<13:17,  2.32it/s, loss=0.0635, rank=0.0266, reg=0.0369]
train epoch 1/1:  83%|████████▎ | 8942/10792 [1:00:30<17:20,  1.78it/s, loss=0.0635, rank=0.0266, reg=0.0369]
train epoch 1/1:  83%|████████▎ | 8942/10792 [1:00:31<17:20,  1.78it/s, loss=0.0988, rank=0.0511, reg=0.0477]
train epoch 1/1:  83%|████████▎ | 8943/10792 [1:00:31<15:31,  1.99it/s, loss=0.0988, rank=0.0511, reg=0.0477]
train epoch 1/1:  83%|████████▎ | 8943/10792 [1:00:32<15:31,  1.99it/s, loss=0.2176, rank=0.0390, reg=0.1786]
train epoch 1/1:  83%|████████▎ | 8944/10792 [1:00:32<17:35,  1.75it/s, loss=0.2176, rank=0.0390, reg=0.1786]
train epoch 1/1:  83%|████████▎ | 8944/10792 [1:00:32<17:35,  1.75it/s, loss=0.0610, rank=0.0248, reg=0.0363]
train epoch 1/1:  83%|████████▎ | 8945/10792 [1:00:32<19:20,  1.59it/s, loss=0.0610, rank=0.0248, reg=0.0363]
train epoch 1/1:  83%|████████▎ | 8945/10792 [1:00:33<19:20,  1.59it/s, loss=0.1789, rank=0.0672, reg=0.1116]
train epoch 1/1:  83%|████████▎ | 8946/10792 [1:00:33<16:22,  1.88it/s, loss=0.1789, rank=0.0672, reg=0.1116]
train epoch 1/1:  83%|████████▎ | 8946/10792 [1:00:33<16:22,  1.88it/s, loss=0.0364, rank=0.0096, reg=0.0268]
train epoch 1/1:  83%|████████▎ | 8947/10792 [1:00:33<15:32,  1.98it/s, loss=0.0364, rank=0.0096, reg=0.0268]
train epoch 1/1:  83%|████████▎ | 8947/10792 [1:00:33<15:32,  1.98it/s, loss=0.0738, rank=0.0263, reg=0.0475]
train epoch 1/1:  83%|████████▎ | 8948/10792 [1:00:33<14:47,  2.08it/s, loss=0.0738, rank=0.0263, reg=0.0475]
train epoch 1/1:  83%|████████▎ | 8948/10792 [1:00:34<14:47,  2.08it/s, loss=0.0859, rank=0.0259, reg=0.0600]
train epoch 1/1:  83%|████████▎ | 8949/10792 [1:00:34<16:16,  1.89it/s, loss=0.0859, rank=0.0259, reg=0.0600]
train epoch 1/1:  83%|████████▎ | 8949/10792 [1:00:34<16:16,  1.89it/s, loss=0.0712, rank=0.0487, reg=0.0225]
train epoch 1/1:  83%|████████▎ | 8950/10792 [1:00:34<12:39,  2.42it/s, loss=0.0712, rank=0.0487, reg=0.0225]
train epoch 1/1:  83%|████████▎ | 8950/10792 [1:00:34<12:39,  2.42it/s, loss=0.0628, rank=0.0351, reg=0.0277]
train epoch 1/1:  83%|████████▎ | 8951/10792 [1:00:34<10:37,  2.89it/s, loss=0.0628, rank=0.0351, reg=0.0277]
train epoch 1/1:  83%|████████▎ | 8951/10792 [1:00:35<10:37,  2.89it/s, loss=0.1204, rank=0.0410, reg=0.0793]
train epoch 1/1:  83%|████████▎ | 8952/10792 [1:00:35<08:53,  3.45it/s, loss=0.1204, rank=0.0410, reg=0.0793]
train epoch 1/1:  83%|████████▎ | 8952/10792 [1:00:35<08:53,  3.45it/s, loss=0.0809, rank=0.0395, reg=0.0415]
train epoch 1/1:  83%|████████▎ | 8953/10792 [1:00:35<12:42,  2.41it/s, loss=0.0809, rank=0.0395, reg=0.0415]
train epoch 1/1:  83%|████████▎ | 8953/10792 [1:00:36<12:42,  2.41it/s, loss=0.1058, rank=0.0107, reg=0.0951]
train epoch 1/1:  83%|████████▎ | 8954/10792 [1:00:36<16:02,  1.91it/s, loss=0.1058, rank=0.0107, reg=0.0951]
train epoch 1/1:  83%|████████▎ | 8954/10792 [1:00:37<16:02,  1.91it/s, loss=0.0528, rank=0.0318, reg=0.0210]
train epoch 1/1:  83%|████████▎ | 8955/10792 [1:00:37<16:08,  1.90it/s, loss=0.0528, rank=0.0318, reg=0.0210]
train epoch 1/1:  83%|████████▎ | 8955/10792 [1:00:37<16:08,  1.90it/s, loss=0.0619, rank=0.0315, reg=0.0303]
train epoch 1/1:  83%|████████▎ | 8956/10792 [1:00:37<15:08,  2.02it/s, loss=0.0619, rank=0.0315, reg=0.0303]
train epoch 1/1:  83%|████████▎ | 8956/10792 [1:00:37<15:08,  2.02it/s, loss=0.1136, rank=0.0365, reg=0.0772]
train epoch 1/1:  83%|████████▎ | 8957/10792 [1:00:37<13:55,  2.20it/s, loss=0.1136, rank=0.0365, reg=0.0772]
train epoch 1/1:  83%|████████▎ | 8957/10792 [1:00:38<13:55,  2.20it/s, loss=0.0898, rank=0.0369, reg=0.0529]
train epoch 1/1:  83%|████████▎ | 8958/10792 [1:00:38<11:12,  2.73it/s, loss=0.0898, rank=0.0369, reg=0.0529]
train epoch 1/1:  83%|████████▎ | 8958/10792 [1:00:38<11:12,  2.73it/s, loss=0.0285, rank=0.0000, reg=0.0285]
train epoch 1/1:  83%|████████▎ | 8959/10792 [1:00:38<13:13,  2.31it/s, loss=0.0285, rank=0.0000, reg=0.0285]
train epoch 1/1:  83%|████████▎ | 8959/10792 [1:00:38<13:13,  2.31it/s, loss=0.0456, rank=0.0258, reg=0.0198]
train epoch 1/1:  83%|████████▎ | 8960/10792 [1:00:38<11:23,  2.68it/s, loss=0.0456, rank=0.0258, reg=0.0198]
train epoch 1/1:  83%|████████▎ | 8960/10792 [1:00:39<11:23,  2.68it/s, loss=0.0920, rank=0.0326, reg=0.0594]
train epoch 1/1:  83%|████████▎ | 8961/10792 [1:00:39<15:23,  1.98it/s, loss=0.0920, rank=0.0326, reg=0.0594]
train epoch 1/1:  83%|████████▎ | 8961/10792 [1:00:40<15:23,  1.98it/s, loss=0.0705, rank=0.0476, reg=0.0230]
train epoch 1/1:  83%|████████▎ | 8962/10792 [1:00:40<15:23,  1.98it/s, loss=0.0705, rank=0.0476, reg=0.0230]
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train epoch 1/1:  83%|████████▎ | 8963/10792 [1:00:40<14:38,  2.08it/s, loss=0.1729, rank=0.0782, reg=0.0947]
train epoch 1/1:  83%|████████▎ | 8963/10792 [1:00:40<14:38,  2.08it/s, loss=0.0621, rank=0.0466, reg=0.0155]
train epoch 1/1:  83%|████████▎ | 8964/10792 [1:00:40<12:21,  2.47it/s, loss=0.0621, rank=0.0466, reg=0.0155]
train epoch 1/1:  83%|████████▎ | 8964/10792 [1:00:41<12:21,  2.47it/s, loss=0.0565, rank=0.0313, reg=0.0252]
train epoch 1/1:  83%|████████▎ | 8965/10792 [1:00:41<11:08,  2.73it/s, loss=0.0565, rank=0.0313, reg=0.0252]
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train epoch 1/1:  83%|████████▎ | 8966/10792 [1:00:41<09:53,  3.08it/s, loss=0.0661, rank=0.0322, reg=0.0339]
train epoch 1/1:  83%|████████▎ | 8966/10792 [1:00:41<09:53,  3.08it/s, loss=0.1184, rank=0.1017, reg=0.0167]
train epoch 1/1:  83%|████████▎ | 8967/10792 [1:00:41<08:43,  3.48it/s, loss=0.1184, rank=0.1017, reg=0.0167]
train epoch 1/1:  83%|████████▎ | 8967/10792 [1:00:41<08:43,  3.48it/s, loss=0.0378, rank=0.0222, reg=0.0156]
train epoch 1/1:  83%|████████▎ | 8968/10792 [1:00:41<07:55,  3.83it/s, loss=0.0378, rank=0.0222, reg=0.0156]
train epoch 1/1:  83%|████████▎ | 8968/10792 [1:00:41<07:55,  3.83it/s, loss=0.1223, rank=0.0692, reg=0.0531]
train epoch 1/1:  83%|████████▎ | 8969/10792 [1:00:41<07:44,  3.93it/s, loss=0.1223, rank=0.0692, reg=0.0531]
train epoch 1/1:  83%|████████▎ | 8969/10792 [1:00:42<07:44,  3.93it/s, loss=0.0808, rank=0.0423, reg=0.0385]
train epoch 1/1:  83%|████████▎ | 8970/10792 [1:00:42<07:25,  4.09it/s, loss=0.0808, rank=0.0423, reg=0.0385]
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train epoch 1/1:  83%|████████▎ | 8971/10792 [1:00:43<17:29,  1.74it/s, loss=0.0704, rank=0.0395, reg=0.0309]
train epoch 1/1:  83%|████████▎ | 8971/10792 [1:00:44<17:29,  1.74it/s, loss=0.1126, rank=0.0603, reg=0.0523]
train epoch 1/1:  83%|████████▎ | 8972/10792 [1:00:44<18:48,  1.61it/s, loss=0.1126, rank=0.0603, reg=0.0523]
train epoch 1/1:  83%|████████▎ | 8972/10792 [1:00:44<18:48,  1.61it/s, loss=0.0885, rank=0.0173, reg=0.0713]
train epoch 1/1:  83%|████████▎ | 8973/10792 [1:00:44<15:23,  1.97it/s, loss=0.0885, rank=0.0173, reg=0.0713]
train epoch 1/1:  83%|████████▎ | 8973/10792 [1:00:44<15:23,  1.97it/s, loss=0.0973, rank=0.0480, reg=0.0493]
train epoch 1/1:  83%|████████▎ | 8974/10792 [1:00:44<12:16,  2.47it/s, loss=0.0973, rank=0.0480, reg=0.0493]
train epoch 1/1:  83%|████████▎ | 8974/10792 [1:00:44<12:16,  2.47it/s, loss=0.0817, rank=0.0648, reg=0.0170]
train epoch 1/1:  83%|████████▎ | 8975/10792 [1:00:44<11:04,  2.73it/s, loss=0.0817, rank=0.0648, reg=0.0170]
train epoch 1/1:  83%|████████▎ | 8975/10792 [1:00:45<11:04,  2.73it/s, loss=0.0895, rank=0.0157, reg=0.0738]
train epoch 1/1:  83%|████████▎ | 8976/10792 [1:00:45<13:25,  2.25it/s, loss=0.0895, rank=0.0157, reg=0.0738]
train epoch 1/1:  83%|████████▎ | 8976/10792 [1:00:46<13:25,  2.25it/s, loss=0.0805, rank=0.0193, reg=0.0612]
train epoch 1/1:  83%|████████▎ | 8977/10792 [1:00:46<14:49,  2.04it/s, loss=0.0805, rank=0.0193, reg=0.0612]
train epoch 1/1:  83%|████████▎ | 8977/10792 [1:00:46<14:49,  2.04it/s, loss=0.0808, rank=0.0269, reg=0.0539]
train epoch 1/1:  83%|████████▎ | 8978/10792 [1:00:46<14:04,  2.15it/s, loss=0.0808, rank=0.0269, reg=0.0539]
train epoch 1/1:  83%|████████▎ | 8978/10792 [1:00:46<14:04,  2.15it/s, loss=0.1055, rank=0.0779, reg=0.0277]
train epoch 1/1:  83%|████████▎ | 8979/10792 [1:00:46<11:38,  2.60it/s, loss=0.1055, rank=0.0779, reg=0.0277]
train epoch 1/1:  83%|████████▎ | 8979/10792 [1:00:47<11:38,  2.60it/s, loss=0.0357, rank=0.0178, reg=0.0180]
train epoch 1/1:  83%|████████▎ | 8980/10792 [1:00:47<11:53,  2.54it/s, loss=0.0357, rank=0.0178, reg=0.0180]
train epoch 1/1:  83%|████████▎ | 8980/10792 [1:00:47<11:53,  2.54it/s, loss=0.0744, rank=0.0697, reg=0.0047]
train epoch 1/1:  83%|████████▎ | 8981/10792 [1:00:47<09:37,  3.14it/s, loss=0.0744, rank=0.0697, reg=0.0047]
train epoch 1/1:  83%|████████▎ | 8981/10792 [1:00:47<09:37,  3.14it/s, loss=0.0903, rank=0.0457, reg=0.0446]
train epoch 1/1:  83%|████████▎ | 8982/10792 [1:00:47<08:24,  3.59it/s, loss=0.0903, rank=0.0457, reg=0.0446]
train epoch 1/1:  83%|████████▎ | 8982/10792 [1:00:48<08:24,  3.59it/s, loss=0.0634, rank=0.0238, reg=0.0396]
train epoch 1/1:  83%|████████▎ | 8983/10792 [1:00:48<13:20,  2.26it/s, loss=0.0634, rank=0.0238, reg=0.0396]
train epoch 1/1:  83%|████████▎ | 8983/10792 [1:00:48<13:20,  2.26it/s, loss=0.0671, rank=0.0237, reg=0.0435]
train epoch 1/1:  83%|████████▎ | 8984/10792 [1:00:48<13:15,  2.27it/s, loss=0.0671, rank=0.0237, reg=0.0435]
train epoch 1/1:  83%|████████▎ | 8984/10792 [1:00:49<13:15,  2.27it/s, loss=0.0612, rank=0.0370, reg=0.0242]
train epoch 1/1:  83%|████████▎ | 8985/10792 [1:00:49<16:17,  1.85it/s, loss=0.0612, rank=0.0370, reg=0.0242]
train epoch 1/1:  83%|████████▎ | 8985/10792 [1:00:49<16:17,  1.85it/s, loss=0.0922, rank=0.0381, reg=0.0542]
train epoch 1/1:  83%|████████▎ | 8986/10792 [1:00:49<15:11,  1.98it/s, loss=0.0922, rank=0.0381, reg=0.0542]
train epoch 1/1:  83%|████████▎ | 8986/10792 [1:00:50<15:11,  1.98it/s, loss=0.0727, rank=0.0149, reg=0.0578]
train epoch 1/1:  83%|████████▎ | 8987/10792 [1:00:50<16:03,  1.87it/s, loss=0.0727, rank=0.0149, reg=0.0578]
train epoch 1/1:  83%|████████▎ | 8987/10792 [1:00:51<16:03,  1.87it/s, loss=0.0928, rank=0.0336, reg=0.0592]
train epoch 1/1:  83%|████████▎ | 8988/10792 [1:00:51<16:29,  1.82it/s, loss=0.0928, rank=0.0336, reg=0.0592]
train epoch 1/1:  83%|████████▎ | 8988/10792 [1:00:51<16:29,  1.82it/s, loss=0.3099, rank=0.0309, reg=0.2790]
train epoch 1/1:  83%|████████▎ | 8989/10792 [1:00:51<14:15,  2.11it/s, loss=0.3099, rank=0.0309, reg=0.2790]
train epoch 1/1:  83%|████████▎ | 8989/10792 [1:00:51<14:15,  2.11it/s, loss=0.0674, rank=0.0373, reg=0.0301]
train epoch 1/1:  83%|████████▎ | 8990/10792 [1:00:51<11:38,  2.58it/s, loss=0.0674, rank=0.0373, reg=0.0301]
train epoch 1/1:  83%|████████▎ | 8990/10792 [1:00:52<11:38,  2.58it/s, loss=0.0874, rank=0.0272, reg=0.0602]
train epoch 1/1:  83%|████████▎ | 8991/10792 [1:00:52<12:21,  2.43it/s, loss=0.0874, rank=0.0272, reg=0.0602]
train epoch 1/1:  83%|████████▎ | 8991/10792 [1:00:52<12:21,  2.43it/s, loss=0.0573, rank=0.0446, reg=0.0127]
train epoch 1/1:  83%|████████▎ | 8992/10792 [1:00:52<11:05,  2.70it/s, loss=0.0573, rank=0.0446, reg=0.0127]
train epoch 1/1:  83%|████████▎ | 8992/10792 [1:00:52<11:05,  2.70it/s, loss=0.0856, rank=0.0273, reg=0.0583]
train epoch 1/1:  83%|████████▎ | 8993/10792 [1:00:52<09:41,  3.10it/s, loss=0.0856, rank=0.0273, reg=0.0583]
train epoch 1/1:  83%|████████▎ | 8993/10792 [1:00:52<09:41,  3.10it/s, loss=0.0698, rank=0.0441, reg=0.0258]
train epoch 1/1:  83%|████████▎ | 8994/10792 [1:00:52<09:06,  3.29it/s, loss=0.0698, rank=0.0441, reg=0.0258]
train epoch 1/1:  83%|████████▎ | 8994/10792 [1:00:53<09:06,  3.29it/s, loss=0.0924, rank=0.0124, reg=0.0800]
train epoch 1/1:  83%|████████▎ | 8995/10792 [1:00:53<12:39,  2.36it/s, loss=0.0924, rank=0.0124, reg=0.0800]
train epoch 1/1:  83%|████████▎ | 8995/10792 [1:00:53<12:39,  2.36it/s, loss=0.1358, rank=0.0831, reg=0.0527]
train epoch 1/1:  83%|████████▎ | 8996/10792 [1:00:53<10:40,  2.80it/s, loss=0.1358, rank=0.0831, reg=0.0527]
train epoch 1/1:  83%|████████▎ | 8996/10792 [1:00:54<10:40,  2.80it/s, loss=0.1214, rank=0.0681, reg=0.0533]
train epoch 1/1:  83%|████████▎ | 8997/10792 [1:00:54<09:54,  3.02it/s, loss=0.1214, rank=0.0681, reg=0.0533]
train epoch 1/1:  83%|████████▎ | 8997/10792 [1:00:54<09:54,  3.02it/s, loss=0.0540, rank=0.0273, reg=0.0266]
train epoch 1/1:  83%|████████▎ | 8998/10792 [1:00:54<10:15,  2.91it/s, loss=0.0540, rank=0.0273, reg=0.0266]
train epoch 1/1:  83%|████████▎ | 8998/10792 [1:00:54<10:15,  2.91it/s, loss=0.0786, rank=0.0424, reg=0.0362]
train epoch 1/1:  83%|████████▎ | 8999/10792 [1:00:54<09:25,  3.17it/s, loss=0.0786, rank=0.0424, reg=0.0362]
train epoch 1/1:  83%|████████▎ | 8999/10792 [1:00:54<09:25,  3.17it/s, loss=0.1003, rank=0.0584, reg=0.0419]
train epoch 1/1:  83%|████████▎ | 9000/10792 [1:00:54<08:13,  3.63it/s, loss=0.1003, rank=0.0584, reg=0.0419]
train epoch 1/1:  83%|████████▎ | 9000/10792 [1:00:55<08:13,  3.63it/s, loss=0.0721, rank=0.0129, reg=0.0592]
train epoch 1/1:  83%|████████▎ | 9001/10792 [1:00:55<08:50,  3.38it/s, loss=0.0721, rank=0.0129, reg=0.0592]
train epoch 1/1:  83%|████████▎ | 9001/10792 [1:00:55<08:50,  3.38it/s, loss=0.0790, rank=0.0291, reg=0.0500]
train epoch 1/1:  83%|████████▎ | 9002/10792 [1:00:55<08:39,  3.45it/s, loss=0.0790, rank=0.0291, reg=0.0500]
train epoch 1/1:  83%|████████▎ | 9002/10792 [1:00:55<08:39,  3.45it/s, loss=0.0655, rank=0.0370, reg=0.0285]
train epoch 1/1:  83%|████████▎ | 9003/10792 [1:00:55<08:49,  3.38it/s, loss=0.0655, rank=0.0370, reg=0.0285]
train epoch 1/1:  83%|████████▎ | 9003/10792 [1:00:56<08:49,  3.38it/s, loss=0.0490, rank=0.0335, reg=0.0155]
train epoch 1/1:  83%|████████▎ | 9004/10792 [1:00:56<10:25,  2.86it/s, loss=0.0490, rank=0.0335, reg=0.0155]
train epoch 1/1:  83%|████████▎ | 9004/10792 [1:00:56<10:25,  2.86it/s, loss=0.0830, rank=0.0510, reg=0.0320]
train epoch 1/1:  83%|████████▎ | 9005/10792 [1:00:56<13:09,  2.26it/s, loss=0.0830, rank=0.0510, reg=0.0320]
train epoch 1/1:  83%|████████▎ | 9005/10792 [1:00:57<13:09,  2.26it/s, loss=0.0195, rank=0.0128, reg=0.0067]
train epoch 1/1:  83%|████████▎ | 9006/10792 [1:00:57<11:18,  2.63it/s, loss=0.0195, rank=0.0128, reg=0.0067]
train epoch 1/1:  83%|████████▎ | 9006/10792 [1:00:57<11:18,  2.63it/s, loss=0.0396, rank=0.0183, reg=0.0213]
train epoch 1/1:  83%|████████▎ | 9007/10792 [1:00:57<09:23,  3.17it/s, loss=0.0396, rank=0.0183, reg=0.0213]
train epoch 1/1:  83%|████████▎ | 9007/10792 [1:00:57<09:23,  3.17it/s, loss=0.0395, rank=0.0071, reg=0.0324]
train epoch 1/1:  83%|████████▎ | 9008/10792 [1:00:57<09:35,  3.10it/s, loss=0.0395, rank=0.0071, reg=0.0324]
train epoch 1/1:  83%|████████▎ | 9008/10792 [1:00:57<09:35,  3.10it/s, loss=0.1152, rank=0.0584, reg=0.0568]
train epoch 1/1:  83%|████████▎ | 9009/10792 [1:00:57<08:35,  3.46it/s, loss=0.1152, rank=0.0584, reg=0.0568]
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train epoch 1/1:  83%|████████▎ | 9010/10792 [1:00:58<08:13,  3.61it/s, loss=0.0446, rank=0.0249, reg=0.0197]
train epoch 1/1:  83%|████████▎ | 9010/10792 [1:00:58<08:13,  3.61it/s, loss=0.0439, rank=0.0122, reg=0.0317]
train epoch 1/1:  83%|████████▎ | 9011/10792 [1:00:58<07:48,  3.80it/s, loss=0.0439, rank=0.0122, reg=0.0317]
train epoch 1/1:  83%|████████▎ | 9011/10792 [1:00:58<07:48,  3.80it/s, loss=0.1735, rank=0.0320, reg=0.1415]
train epoch 1/1:  84%|████████▎ | 9012/10792 [1:00:58<07:20,  4.04it/s, loss=0.1735, rank=0.0320, reg=0.1415]
train epoch 1/1:  84%|████████▎ | 9012/10792 [1:00:58<07:20,  4.04it/s, loss=0.0673, rank=0.0498, reg=0.0175]
train epoch 1/1:  84%|████████▎ | 9013/10792 [1:00:58<08:22,  3.54it/s, loss=0.0673, rank=0.0498, reg=0.0175]
train epoch 1/1:  84%|████████▎ | 9013/10792 [1:00:59<08:22,  3.54it/s, loss=0.0349, rank=0.0194, reg=0.0155]
train epoch 1/1:  84%|████████▎ | 9014/10792 [1:00:59<09:19,  3.18it/s, loss=0.0349, rank=0.0194, reg=0.0155]
train epoch 1/1:  84%|████████▎ | 9014/10792 [1:00:59<09:19,  3.18it/s, loss=0.0288, rank=0.0212, reg=0.0076]
train epoch 1/1:  84%|████████▎ | 9015/10792 [1:00:59<12:28,  2.37it/s, loss=0.0288, rank=0.0212, reg=0.0076]
train epoch 1/1:  84%|████████▎ | 9015/10792 [1:01:00<12:28,  2.37it/s, loss=0.0617, rank=0.0325, reg=0.0292]
train epoch 1/1:  84%|████████▎ | 9016/10792 [1:01:00<15:38,  1.89it/s, loss=0.0617, rank=0.0325, reg=0.0292]
train epoch 1/1:  84%|████████▎ | 9016/10792 [1:01:01<15:38,  1.89it/s, loss=0.0637, rank=0.0486, reg=0.0151]
train epoch 1/1:  84%|████████▎ | 9017/10792 [1:01:01<17:35,  1.68it/s, loss=0.0637, rank=0.0486, reg=0.0151]
train epoch 1/1:  84%|████████▎ | 9017/10792 [1:01:01<17:35,  1.68it/s, loss=0.0867, rank=0.0476, reg=0.0392]
train epoch 1/1:  84%|████████▎ | 9018/10792 [1:01:01<16:13,  1.82it/s, loss=0.0867, rank=0.0476, reg=0.0392]
train epoch 1/1:  84%|████████▎ | 9018/10792 [1:01:02<16:13,  1.82it/s, loss=0.0838, rank=0.0608, reg=0.0230]
train epoch 1/1:  84%|████████▎ | 9019/10792 [1:01:02<13:46,  2.15it/s, loss=0.0838, rank=0.0608, reg=0.0230]
train epoch 1/1:  84%|████████▎ | 9019/10792 [1:01:02<13:46,  2.15it/s, loss=0.0680, rank=0.0196, reg=0.0484]
train epoch 1/1:  84%|████████▎ | 9020/10792 [1:01:02<11:26,  2.58it/s, loss=0.0680, rank=0.0196, reg=0.0484]
train epoch 1/1:  84%|████████▎ | 9020/10792 [1:01:02<11:26,  2.58it/s, loss=0.0340, rank=0.0130, reg=0.0210]
train epoch 1/1:  84%|████████▎ | 9021/10792 [1:01:02<09:39,  3.05it/s, loss=0.0340, rank=0.0130, reg=0.0210]
train epoch 1/1:  84%|████████▎ | 9021/10792 [1:01:02<09:39,  3.05it/s, loss=0.0910, rank=0.0311, reg=0.0599]
train epoch 1/1:  84%|████████▎ | 9022/10792 [1:01:02<09:57,  2.96it/s, loss=0.0910, rank=0.0311, reg=0.0599]
train epoch 1/1:  84%|████████▎ | 9022/10792 [1:01:03<09:57,  2.96it/s, loss=0.1104, rank=0.0444, reg=0.0660]
train epoch 1/1:  84%|████████▎ | 9023/10792 [1:01:03<09:57,  2.96it/s, loss=0.1104, rank=0.0444, reg=0.0660]
train epoch 1/1:  84%|████████▎ | 9023/10792 [1:01:03<09:57,  2.96it/s, loss=0.2155, rank=0.0870, reg=0.1285]
train epoch 1/1:  84%|████████▎ | 9024/10792 [1:01:03<08:41,  3.39it/s, loss=0.2155, rank=0.0870, reg=0.1285]
train epoch 1/1:  84%|████████▎ | 9024/10792 [1:01:03<08:41,  3.39it/s, loss=0.0510, rank=0.0440, reg=0.0070]
train epoch 1/1:  84%|████████▎ | 9025/10792 [1:01:03<08:58,  3.28it/s, loss=0.0510, rank=0.0440, reg=0.0070]
train epoch 1/1:  84%|████████▎ | 9025/10792 [1:01:04<08:58,  3.28it/s, loss=0.0253, rank=0.0128, reg=0.0125]
train epoch 1/1:  84%|████████▎ | 9026/10792 [1:01:04<08:08,  3.61it/s, loss=0.0253, rank=0.0128, reg=0.0125]
train epoch 1/1:  84%|████████▎ | 9026/10792 [1:01:04<08:08,  3.61it/s, loss=0.0941, rank=0.0354, reg=0.0587]
train epoch 1/1:  84%|████████▎ | 9027/10792 [1:01:04<06:47,  4.34it/s, loss=0.0941, rank=0.0354, reg=0.0587]
train epoch 1/1:  84%|████████▎ | 9027/10792 [1:01:04<06:47,  4.34it/s, loss=0.0938, rank=0.0268, reg=0.0670]
train epoch 1/1:  84%|████████▎ | 9028/10792 [1:01:04<09:48,  3.00it/s, loss=0.0938, rank=0.0268, reg=0.0670]
train epoch 1/1:  84%|████████▎ | 9028/10792 [1:01:05<09:48,  3.00it/s, loss=0.0869, rank=0.0535, reg=0.0334]
train epoch 1/1:  84%|████████▎ | 9029/10792 [1:01:05<11:54,  2.47it/s, loss=0.0869, rank=0.0535, reg=0.0334]
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train epoch 1/1:  84%|████████▎ | 9030/10792 [1:01:06<16:19,  1.80it/s, loss=0.0264, rank=0.0122, reg=0.0143]
train epoch 1/1:  84%|████████▎ | 9030/10792 [1:01:06<16:19,  1.80it/s, loss=0.0437, rank=0.0031, reg=0.0407]
train epoch 1/1:  84%|████████▎ | 9031/10792 [1:01:06<14:38,  2.01it/s, loss=0.0437, rank=0.0031, reg=0.0407]
train epoch 1/1:  84%|████████▎ | 9031/10792 [1:01:07<14:38,  2.01it/s, loss=0.0930, rank=0.0472, reg=0.0458]
train epoch 1/1:  84%|████████▎ | 9032/10792 [1:01:07<16:16,  1.80it/s, loss=0.0930, rank=0.0472, reg=0.0458]
train epoch 1/1:  84%|████████▎ | 9032/10792 [1:01:07<16:16,  1.80it/s, loss=0.0643, rank=0.0344, reg=0.0299]
train epoch 1/1:  84%|████████▎ | 9033/10792 [1:01:07<14:25,  2.03it/s, loss=0.0643, rank=0.0344, reg=0.0299]
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train epoch 1/1:  84%|████████▎ | 9034/10792 [1:01:08<15:31,  1.89it/s, loss=0.0393, rank=0.0187, reg=0.0206]
train epoch 1/1:  84%|████████▎ | 9034/10792 [1:01:08<15:31,  1.89it/s, loss=0.0361, rank=0.0134, reg=0.0227]
train epoch 1/1:  84%|████████▎ | 9035/10792 [1:01:08<12:26,  2.35it/s, loss=0.0361, rank=0.0134, reg=0.0227]
train epoch 1/1:  84%|████████▎ | 9035/10792 [1:01:08<12:26,  2.35it/s, loss=0.0882, rank=0.0581, reg=0.0300]
train epoch 1/1:  84%|████████▎ | 9036/10792 [1:01:08<10:31,  2.78it/s, loss=0.0882, rank=0.0581, reg=0.0300]
train epoch 1/1:  84%|████████▎ | 9036/10792 [1:01:08<10:31,  2.78it/s, loss=0.0246, rank=0.0000, reg=0.0246]
train epoch 1/1:  84%|████████▎ | 9037/10792 [1:01:08<09:23,  3.12it/s, loss=0.0246, rank=0.0000, reg=0.0246]
train epoch 1/1:  84%|████████▎ | 9037/10792 [1:01:08<09:23,  3.12it/s, loss=0.1651, rank=0.0468, reg=0.1183]
train epoch 1/1:  84%|████████▎ | 9038/10792 [1:01:08<07:46,  3.76it/s, loss=0.1651, rank=0.0468, reg=0.1183]
train epoch 1/1:  84%|████████▎ | 9038/10792 [1:01:09<07:46,  3.76it/s, loss=0.0354, rank=0.0033, reg=0.0321]
train epoch 1/1:  84%|████████▍ | 9039/10792 [1:01:09<12:53,  2.27it/s, loss=0.0354, rank=0.0033, reg=0.0321]
train epoch 1/1:  84%|████████▍ | 9039/10792 [1:01:10<12:53,  2.27it/s, loss=0.0607, rank=0.0310, reg=0.0297]
train epoch 1/1:  84%|████████▍ | 9040/10792 [1:01:10<12:08,  2.40it/s, loss=0.0607, rank=0.0310, reg=0.0297]
train epoch 1/1:  84%|████████▍ | 9040/10792 [1:01:10<12:08,  2.40it/s, loss=0.1278, rank=0.1214, reg=0.0064]
train epoch 1/1:  84%|████████▍ | 9041/10792 [1:01:10<10:37,  2.75it/s, loss=0.1278, rank=0.1214, reg=0.0064]
train epoch 1/1:  84%|████████▍ | 9041/10792 [1:01:10<10:37,  2.75it/s, loss=0.1216, rank=0.0706, reg=0.0510]
train epoch 1/1:  84%|████████▍ | 9042/10792 [1:01:10<08:45,  3.33it/s, loss=0.1216, rank=0.0706, reg=0.0510]
train epoch 1/1:  84%|████████▍ | 9042/10792 [1:01:10<08:45,  3.33it/s, loss=0.1010, rank=0.0488, reg=0.0522]
train epoch 1/1:  84%|████████▍ | 9043/10792 [1:01:10<07:24,  3.93it/s, loss=0.1010, rank=0.0488, reg=0.0522]
train epoch 1/1:  84%|████████▍ | 9043/10792 [1:01:10<07:24,  3.93it/s, loss=0.0679, rank=0.0483, reg=0.0196]
train epoch 1/1:  84%|████████▍ | 9044/10792 [1:01:10<06:15,  4.65it/s, loss=0.0679, rank=0.0483, reg=0.0196]
train epoch 1/1:  84%|████████▍ | 9044/10792 [1:01:11<06:15,  4.65it/s, loss=0.0299, rank=0.0119, reg=0.0180]
train epoch 1/1:  84%|████████▍ | 9045/10792 [1:01:11<06:39,  4.37it/s, loss=0.0299, rank=0.0119, reg=0.0180]
train epoch 1/1:  84%|████████▍ | 9045/10792 [1:01:11<06:39,  4.37it/s, loss=0.0620, rank=0.0422, reg=0.0198]
train epoch 1/1:  84%|████████▍ | 9046/10792 [1:01:11<07:21,  3.95it/s, loss=0.0620, rank=0.0422, reg=0.0198]
train epoch 1/1:  84%|████████▍ | 9046/10792 [1:01:11<07:21,  3.95it/s, loss=0.0861, rank=0.0720, reg=0.0141]
train epoch 1/1:  84%|████████▍ | 9047/10792 [1:01:11<06:45,  4.31it/s, loss=0.0861, rank=0.0720, reg=0.0141]
train epoch 1/1:  84%|████████▍ | 9047/10792 [1:01:11<06:45,  4.31it/s, loss=0.0931, rank=0.0557, reg=0.0374]
train epoch 1/1:  84%|████████▍ | 9048/10792 [1:01:11<07:09,  4.06it/s, loss=0.0931, rank=0.0557, reg=0.0374]
train epoch 1/1:  84%|████████▍ | 9048/10792 [1:01:12<07:09,  4.06it/s, loss=0.0424, rank=0.0334, reg=0.0091]
train epoch 1/1:  84%|████████▍ | 9049/10792 [1:01:12<08:12,  3.54it/s, loss=0.0424, rank=0.0334, reg=0.0091]
train epoch 1/1:  84%|████████▍ | 9049/10792 [1:01:12<08:12,  3.54it/s, loss=0.1145, rank=0.0647, reg=0.0498]
train epoch 1/1:  84%|████████▍ | 9050/10792 [1:01:12<08:29,  3.42it/s, loss=0.1145, rank=0.0647, reg=0.0498]
train epoch 1/1:  84%|████████▍ | 9050/10792 [1:01:12<08:29,  3.42it/s, loss=0.1553, rank=0.0601, reg=0.0951]
train epoch 1/1:  84%|████████▍ | 9051/10792 [1:01:12<08:54,  3.26it/s, loss=0.1553, rank=0.0601, reg=0.0951]
train epoch 1/1:  84%|████████▍ | 9051/10792 [1:01:13<08:54,  3.26it/s, loss=0.0562, rank=0.0157, reg=0.0405]
train epoch 1/1:  84%|████████▍ | 9052/10792 [1:01:13<07:53,  3.68it/s, loss=0.0562, rank=0.0157, reg=0.0405]
train epoch 1/1:  84%|████████▍ | 9052/10792 [1:01:13<07:53,  3.68it/s, loss=0.0868, rank=0.0534, reg=0.0333]
train epoch 1/1:  84%|████████▍ | 9053/10792 [1:01:13<07:32,  3.84it/s, loss=0.0868, rank=0.0534, reg=0.0333]
train epoch 1/1:  84%|████████▍ | 9053/10792 [1:01:13<07:32,  3.84it/s, loss=0.0645, rank=0.0468, reg=0.0177]
train epoch 1/1:  84%|████████▍ | 9054/10792 [1:01:13<08:12,  3.53it/s, loss=0.0645, rank=0.0468, reg=0.0177]
train epoch 1/1:  84%|████████▍ | 9054/10792 [1:01:13<08:12,  3.53it/s, loss=0.1153, rank=0.0286, reg=0.0867]
train epoch 1/1:  84%|████████▍ | 9055/10792 [1:01:13<08:11,  3.53it/s, loss=0.1153, rank=0.0286, reg=0.0867]
train epoch 1/1:  84%|████████▍ | 9055/10792 [1:01:14<08:11,  3.53it/s, loss=0.0698, rank=0.0442, reg=0.0256]
train epoch 1/1:  84%|████████▍ | 9056/10792 [1:01:14<08:52,  3.26it/s, loss=0.0698, rank=0.0442, reg=0.0256]
train epoch 1/1:  84%|████████▍ | 9056/10792 [1:01:15<08:52,  3.26it/s, loss=0.2144, rank=0.0461, reg=0.1683]
train epoch 1/1:  84%|████████▍ | 9057/10792 [1:01:15<16:48,  1.72it/s, loss=0.2144, rank=0.0461, reg=0.1683]
train epoch 1/1:  84%|████████▍ | 9057/10792 [1:01:16<16:48,  1.72it/s, loss=0.1426, rank=0.0710, reg=0.0716]
train epoch 1/1:  84%|████████▍ | 9058/10792 [1:01:16<15:59,  1.81it/s, loss=0.1426, rank=0.0710, reg=0.0716]
train epoch 1/1:  84%|████████▍ | 9058/10792 [1:01:16<15:59,  1.81it/s, loss=0.0707, rank=0.0152, reg=0.0555]
train epoch 1/1:  84%|████████▍ | 9059/10792 [1:01:16<14:41,  1.97it/s, loss=0.0707, rank=0.0152, reg=0.0555]
train epoch 1/1:  84%|████████▍ | 9059/10792 [1:01:16<14:41,  1.97it/s, loss=0.0961, rank=0.0258, reg=0.0703]
train epoch 1/1:  84%|████████▍ | 9060/10792 [1:01:16<12:26,  2.32it/s, loss=0.0961, rank=0.0258, reg=0.0703]
train epoch 1/1:  84%|████████▍ | 9060/10792 [1:01:17<12:26,  2.32it/s, loss=0.0390, rank=0.0258, reg=0.0132]
train epoch 1/1:  84%|████████▍ | 9061/10792 [1:01:17<12:33,  2.30it/s, loss=0.0390, rank=0.0258, reg=0.0132]
train epoch 1/1:  84%|████████▍ | 9061/10792 [1:01:17<12:33,  2.30it/s, loss=0.0484, rank=0.0353, reg=0.0131]
train epoch 1/1:  84%|████████▍ | 9062/10792 [1:01:17<11:12,  2.57it/s, loss=0.0484, rank=0.0353, reg=0.0131]
train epoch 1/1:  84%|████████▍ | 9062/10792 [1:01:18<11:12,  2.57it/s, loss=0.0580, rank=0.0366, reg=0.0214]
train epoch 1/1:  84%|████████▍ | 9063/10792 [1:01:18<13:29,  2.14it/s, loss=0.0580, rank=0.0366, reg=0.0214]
train epoch 1/1:  84%|████████▍ | 9063/10792 [1:01:18<13:29,  2.14it/s, loss=0.0810, rank=0.0748, reg=0.0061]
train epoch 1/1:  84%|████████▍ | 9064/10792 [1:01:18<12:01,  2.40it/s, loss=0.0810, rank=0.0748, reg=0.0061]
train epoch 1/1:  84%|████████▍ | 9064/10792 [1:01:18<12:01,  2.40it/s, loss=0.1453, rank=0.0518, reg=0.0935]
train epoch 1/1:  84%|████████▍ | 9065/10792 [1:01:18<10:39,  2.70it/s, loss=0.1453, rank=0.0518, reg=0.0935]
train epoch 1/1:  84%|████████▍ | 9065/10792 [1:01:19<10:39,  2.70it/s, loss=0.0759, rank=0.0233, reg=0.0526]
train epoch 1/1:  84%|████████▍ | 9066/10792 [1:01:19<12:36,  2.28it/s, loss=0.0759, rank=0.0233, reg=0.0526]
train epoch 1/1:  84%|████████▍ | 9066/10792 [1:01:19<12:36,  2.28it/s, loss=0.0299, rank=0.0180, reg=0.0119]
train epoch 1/1:  84%|████████▍ | 9067/10792 [1:01:19<12:28,  2.30it/s, loss=0.0299, rank=0.0180, reg=0.0119]
train epoch 1/1:  84%|████████▍ | 9067/10792 [1:01:19<12:28,  2.30it/s, loss=0.1391, rank=0.0501, reg=0.0891]
train epoch 1/1:  84%|████████▍ | 9068/10792 [1:01:19<10:45,  2.67it/s, loss=0.1391, rank=0.0501, reg=0.0891]
train epoch 1/1:  84%|████████▍ | 9068/10792 [1:01:20<10:45,  2.67it/s, loss=0.0508, rank=0.0135, reg=0.0372]
train epoch 1/1:  84%|████████▍ | 9069/10792 [1:01:20<15:09,  1.89it/s, loss=0.0508, rank=0.0135, reg=0.0372]
train epoch 1/1:  84%|████████▍ | 9069/10792 [1:01:20<15:09,  1.89it/s, loss=0.0577, rank=0.0344, reg=0.0233]
train epoch 1/1:  84%|████████▍ | 9070/10792 [1:01:20<11:37,  2.47it/s, loss=0.0577, rank=0.0344, reg=0.0233]
train epoch 1/1:  84%|████████▍ | 9070/10792 [1:01:21<11:37,  2.47it/s, loss=0.0808, rank=0.0363, reg=0.0445]
train epoch 1/1:  84%|████████▍ | 9071/10792 [1:01:21<14:45,  1.94it/s, loss=0.0808, rank=0.0363, reg=0.0445]
train epoch 1/1:  84%|████████▍ | 9071/10792 [1:01:21<14:45,  1.94it/s, loss=0.0530, rank=0.0366, reg=0.0164]
train epoch 1/1:  84%|████████▍ | 9072/10792 [1:01:21<11:25,  2.51it/s, loss=0.0530, rank=0.0366, reg=0.0164]
train epoch 1/1:  84%|████████▍ | 9072/10792 [1:01:22<11:25,  2.51it/s, loss=0.0361, rank=0.0000, reg=0.0361]
train epoch 1/1:  84%|████████▍ | 9073/10792 [1:01:22<14:19,  2.00it/s, loss=0.0361, rank=0.0000, reg=0.0361]
train epoch 1/1:  84%|████████▍ | 9073/10792 [1:01:23<14:19,  2.00it/s, loss=0.0532, rank=0.0281, reg=0.0251]
train epoch 1/1:  84%|████████▍ | 9074/10792 [1:01:23<19:19,  1.48it/s, loss=0.0532, rank=0.0281, reg=0.0251]
train epoch 1/1:  84%|████████▍ | 9074/10792 [1:01:24<19:19,  1.48it/s, loss=0.1715, rank=0.0548, reg=0.1167]
train epoch 1/1:  84%|████████▍ | 9075/10792 [1:01:24<19:51,  1.44it/s, loss=0.1715, rank=0.0548, reg=0.1167]
train epoch 1/1:  84%|████████▍ | 9075/10792 [1:01:25<19:51,  1.44it/s, loss=0.1176, rank=0.0699, reg=0.0477]
train epoch 1/1:  84%|████████▍ | 9076/10792 [1:01:25<21:39,  1.32it/s, loss=0.1176, rank=0.0699, reg=0.0477]
train epoch 1/1:  84%|████████▍ | 9076/10792 [1:01:25<21:39,  1.32it/s, loss=0.0396, rank=0.0288, reg=0.0108]
train epoch 1/1:  84%|████████▍ | 9077/10792 [1:01:25<21:03,  1.36it/s, loss=0.0396, rank=0.0288, reg=0.0108]
train epoch 1/1:  84%|████████▍ | 9077/10792 [1:01:26<21:03,  1.36it/s, loss=0.0577, rank=0.0208, reg=0.0369]
train epoch 1/1:  84%|████████▍ | 9078/10792 [1:01:26<21:16,  1.34it/s, loss=0.0577, rank=0.0208, reg=0.0369]
train epoch 1/1:  84%|████████▍ | 9078/10792 [1:01:26<21:16,  1.34it/s, loss=0.0790, rank=0.0257, reg=0.0534]
train epoch 1/1:  84%|████████▍ | 9079/10792 [1:01:26<16:32,  1.73it/s, loss=0.0790, rank=0.0257, reg=0.0534]
train epoch 1/1:  84%|████████▍ | 9079/10792 [1:01:27<16:32,  1.73it/s, loss=0.0939, rank=0.0263, reg=0.0676]
train epoch 1/1:  84%|████████▍ | 9080/10792 [1:01:27<12:55,  2.21it/s, loss=0.0939, rank=0.0263, reg=0.0676]
train epoch 1/1:  84%|████████▍ | 9080/10792 [1:01:27<12:55,  2.21it/s, loss=0.0592, rank=0.0303, reg=0.0290]
train epoch 1/1:  84%|████████▍ | 9081/10792 [1:01:27<11:23,  2.50it/s, loss=0.0592, rank=0.0303, reg=0.0290]
train epoch 1/1:  84%|████████▍ | 9081/10792 [1:01:27<11:23,  2.50it/s, loss=0.1222, rank=0.0555, reg=0.0668]
train epoch 1/1:  84%|████████▍ | 9082/10792 [1:01:27<10:14,  2.78it/s, loss=0.1222, rank=0.0555, reg=0.0668]
train epoch 1/1:  84%|████████▍ | 9082/10792 [1:01:27<10:14,  2.78it/s, loss=0.1168, rank=0.0868, reg=0.0300]
train epoch 1/1:  84%|████████▍ | 9083/10792 [1:01:27<08:39,  3.29it/s, loss=0.1168, rank=0.0868, reg=0.0300]
train epoch 1/1:  84%|████████▍ | 9083/10792 [1:01:28<08:39,  3.29it/s, loss=0.0784, rank=0.0414, reg=0.0370]
train epoch 1/1:  84%|████████▍ | 9084/10792 [1:01:28<09:40,  2.94it/s, loss=0.0784, rank=0.0414, reg=0.0370]
train epoch 1/1:  84%|████████▍ | 9084/10792 [1:01:28<09:40,  2.94it/s, loss=0.0565, rank=0.0356, reg=0.0209]
train epoch 1/1:  84%|████████▍ | 9085/10792 [1:01:28<11:03,  2.57it/s, loss=0.0565, rank=0.0356, reg=0.0209]
train epoch 1/1:  84%|████████▍ | 9085/10792 [1:01:28<11:03,  2.57it/s, loss=0.0981, rank=0.0270, reg=0.0711]
train epoch 1/1:  84%|████████▍ | 9086/10792 [1:01:28<09:58,  2.85it/s, loss=0.0981, rank=0.0270, reg=0.0711]
train epoch 1/1:  84%|████████▍ | 9086/10792 [1:01:29<09:58,  2.85it/s, loss=0.1428, rank=0.0247, reg=0.1181]
train epoch 1/1:  84%|████████▍ | 9087/10792 [1:01:29<10:06,  2.81it/s, loss=0.1428, rank=0.0247, reg=0.1181]
train epoch 1/1:  84%|████████▍ | 9087/10792 [1:01:29<10:06,  2.81it/s, loss=0.0714, rank=0.0539, reg=0.0175]
train epoch 1/1:  84%|████████▍ | 9088/10792 [1:01:29<08:56,  3.18it/s, loss=0.0714, rank=0.0539, reg=0.0175]
train epoch 1/1:  84%|████████▍ | 9088/10792 [1:01:29<08:56,  3.18it/s, loss=0.0951, rank=0.0637, reg=0.0314]
train epoch 1/1:  84%|████████▍ | 9089/10792 [1:01:29<07:50,  3.62it/s, loss=0.0951, rank=0.0637, reg=0.0314]
train epoch 1/1:  84%|████████▍ | 9089/10792 [1:01:29<07:50,  3.62it/s, loss=0.1364, rank=0.0472, reg=0.0893]
train epoch 1/1:  84%|████████▍ | 9090/10792 [1:01:29<07:43,  3.67it/s, loss=0.1364, rank=0.0472, reg=0.0893]
train epoch 1/1:  84%|████████▍ | 9090/10792 [1:01:30<07:43,  3.67it/s, loss=0.1297, rank=0.0723, reg=0.0574]
train epoch 1/1:  84%|████████▍ | 9091/10792 [1:01:30<10:50,  2.61it/s, loss=0.1297, rank=0.0723, reg=0.0574]
train epoch 1/1:  84%|████████▍ | 9091/10792 [1:01:30<10:50,  2.61it/s, loss=0.0296, rank=0.0192, reg=0.0104]
train epoch 1/1:  84%|████████▍ | 9092/10792 [1:01:30<09:40,  2.93it/s, loss=0.0296, rank=0.0192, reg=0.0104]
train epoch 1/1:  84%|████████▍ | 9092/10792 [1:01:31<09:40,  2.93it/s, loss=0.1552, rank=0.1087, reg=0.0465]
train epoch 1/1:  84%|████████▍ | 9093/10792 [1:01:31<08:26,  3.36it/s, loss=0.1552, rank=0.1087, reg=0.0465]
train epoch 1/1:  84%|████████▍ | 9093/10792 [1:01:31<08:26,  3.36it/s, loss=0.0736, rank=0.0521, reg=0.0216]
train epoch 1/1:  84%|████████▍ | 9094/10792 [1:01:31<11:51,  2.39it/s, loss=0.0736, rank=0.0521, reg=0.0216]
train epoch 1/1:  84%|████████▍ | 9094/10792 [1:01:32<11:51,  2.39it/s, loss=0.0578, rank=0.0285, reg=0.0293]
train epoch 1/1:  84%|████████▍ | 9095/10792 [1:01:32<10:24,  2.72it/s, loss=0.0578, rank=0.0285, reg=0.0293]
train epoch 1/1:  84%|████████▍ | 9095/10792 [1:01:32<10:24,  2.72it/s, loss=0.0994, rank=0.0489, reg=0.0505]
train epoch 1/1:  84%|████████▍ | 9096/10792 [1:01:32<09:34,  2.95it/s, loss=0.0994, rank=0.0489, reg=0.0505]
train epoch 1/1:  84%|████████▍ | 9096/10792 [1:01:32<09:34,  2.95it/s, loss=0.1220, rank=0.0897, reg=0.0323]
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train epoch 1/1:  84%|████████▍ | 9097/10792 [1:01:32<07:50,  3.60it/s, loss=0.0783, rank=0.0346, reg=0.0436]
train epoch 1/1:  84%|████████▍ | 9098/10792 [1:01:32<07:23,  3.82it/s, loss=0.0783, rank=0.0346, reg=0.0436]
train epoch 1/1:  84%|████████▍ | 9098/10792 [1:01:32<07:23,  3.82it/s, loss=0.0403, rank=0.0295, reg=0.0107]
train epoch 1/1:  84%|████████▍ | 9099/10792 [1:01:32<07:52,  3.58it/s, loss=0.0403, rank=0.0295, reg=0.0107]
train epoch 1/1:  84%|████████▍ | 9099/10792 [1:01:33<07:52,  3.58it/s, loss=0.0886, rank=0.0270, reg=0.0616]
train epoch 1/1:  84%|████████▍ | 9100/10792 [1:01:33<12:39,  2.23it/s, loss=0.0886, rank=0.0270, reg=0.0616]
train epoch 1/1:  84%|████████▍ | 9100/10792 [1:01:34<12:39,  2.23it/s, loss=0.0957, rank=0.0855, reg=0.0103]
train epoch 1/1:  84%|████████▍ | 9101/10792 [1:01:34<11:15,  2.50it/s, loss=0.0957, rank=0.0855, reg=0.0103]
train epoch 1/1:  84%|████████▍ | 9101/10792 [1:01:34<11:15,  2.50it/s, loss=0.1246, rank=0.0404, reg=0.0842]
train epoch 1/1:  84%|████████▍ | 9102/10792 [1:01:34<09:12,  3.06it/s, loss=0.1246, rank=0.0404, reg=0.0842]
train epoch 1/1:  84%|████████▍ | 9102/10792 [1:01:34<09:12,  3.06it/s, loss=0.0646, rank=0.0517, reg=0.0129]
train epoch 1/1:  84%|████████▍ | 9103/10792 [1:01:34<07:57,  3.54it/s, loss=0.0646, rank=0.0517, reg=0.0129]
train epoch 1/1:  84%|████████▍ | 9103/10792 [1:01:34<07:57,  3.54it/s, loss=0.1145, rank=0.0226, reg=0.0919]
train epoch 1/1:  84%|████████▍ | 9104/10792 [1:01:34<10:07,  2.78it/s, loss=0.1145, rank=0.0226, reg=0.0919]
train epoch 1/1:  84%|████████▍ | 9104/10792 [1:01:35<10:07,  2.78it/s, loss=0.0608, rank=0.0390, reg=0.0218]
train epoch 1/1:  84%|████████▍ | 9105/10792 [1:01:35<08:16,  3.40it/s, loss=0.0608, rank=0.0390, reg=0.0218]
train epoch 1/1:  84%|████████▍ | 9105/10792 [1:01:35<08:16,  3.40it/s, loss=0.0968, rank=0.0759, reg=0.0210]
train epoch 1/1:  84%|████████▍ | 9106/10792 [1:01:35<12:12,  2.30it/s, loss=0.0968, rank=0.0759, reg=0.0210]
train epoch 1/1:  84%|████████▍ | 9106/10792 [1:01:36<12:12,  2.30it/s, loss=0.0589, rank=0.0555, reg=0.0034]
train epoch 1/1:  84%|████████▍ | 9107/10792 [1:01:36<11:03,  2.54it/s, loss=0.0589, rank=0.0555, reg=0.0034]
train epoch 1/1:  84%|████████▍ | 9107/10792 [1:01:36<11:03,  2.54it/s, loss=0.0445, rank=0.0273, reg=0.0172]
train epoch 1/1:  84%|████████▍ | 9108/10792 [1:01:36<11:09,  2.51it/s, loss=0.0445, rank=0.0273, reg=0.0172]
train epoch 1/1:  84%|████████▍ | 9108/10792 [1:01:36<11:09,  2.51it/s, loss=0.1236, rank=0.0816, reg=0.0420]
train epoch 1/1:  84%|████████▍ | 9109/10792 [1:01:36<09:29,  2.95it/s, loss=0.1236, rank=0.0816, reg=0.0420]
train epoch 1/1:  84%|████████▍ | 9109/10792 [1:01:37<09:29,  2.95it/s, loss=0.0271, rank=0.0130, reg=0.0141]
train epoch 1/1:  84%|████████▍ | 9110/10792 [1:01:37<08:42,  3.22it/s, loss=0.0271, rank=0.0130, reg=0.0141]
train epoch 1/1:  84%|████████▍ | 9110/10792 [1:01:37<08:42,  3.22it/s, loss=0.0381, rank=0.0262, reg=0.0119]
train epoch 1/1:  84%|████████▍ | 9111/10792 [1:01:37<07:56,  3.53it/s, loss=0.0381, rank=0.0262, reg=0.0119]
train epoch 1/1:  84%|████████▍ | 9111/10792 [1:01:37<07:56,  3.53it/s, loss=0.0614, rank=0.0124, reg=0.0489]
train epoch 1/1:  84%|████████▍ | 9112/10792 [1:01:37<08:15,  3.39it/s, loss=0.0614, rank=0.0124, reg=0.0489]
train epoch 1/1:  84%|████████▍ | 9112/10792 [1:01:37<08:15,  3.39it/s, loss=0.0998, rank=0.0608, reg=0.0390]
train epoch 1/1:  84%|████████▍ | 9113/10792 [1:01:37<08:09,  3.43it/s, loss=0.0998, rank=0.0608, reg=0.0390]
train epoch 1/1:  84%|████████▍ | 9113/10792 [1:01:38<08:09,  3.43it/s, loss=0.0240, rank=0.0006, reg=0.0233]
train epoch 1/1:  84%|████████▍ | 9114/10792 [1:01:38<07:36,  3.68it/s, loss=0.0240, rank=0.0006, reg=0.0233]
train epoch 1/1:  84%|████████▍ | 9114/10792 [1:01:39<07:36,  3.68it/s, loss=0.0478, rank=0.0274, reg=0.0204]
train epoch 1/1:  84%|████████▍ | 9115/10792 [1:01:39<15:27,  1.81it/s, loss=0.0478, rank=0.0274, reg=0.0204]
train epoch 1/1:  84%|████████▍ | 9115/10792 [1:01:40<15:27,  1.81it/s, loss=0.0395, rank=0.0121, reg=0.0275]
train epoch 1/1:  84%|████████▍ | 9116/10792 [1:01:40<16:52,  1.66it/s, loss=0.0395, rank=0.0121, reg=0.0275]
train epoch 1/1:  84%|████████▍ | 9116/10792 [1:01:40<16:52,  1.66it/s, loss=0.0441, rank=0.0291, reg=0.0150]
train epoch 1/1:  84%|████████▍ | 9117/10792 [1:01:40<14:50,  1.88it/s, loss=0.0441, rank=0.0291, reg=0.0150]
train epoch 1/1:  84%|████████▍ | 9117/10792 [1:01:40<14:50,  1.88it/s, loss=0.0386, rank=0.0201, reg=0.0185]
train epoch 1/1:  84%|████████▍ | 9118/10792 [1:01:40<13:01,  2.14it/s, loss=0.0386, rank=0.0201, reg=0.0185]
train epoch 1/1:  84%|████████▍ | 9118/10792 [1:01:41<13:01,  2.14it/s, loss=0.0687, rank=0.0400, reg=0.0287]
train epoch 1/1:  84%|████████▍ | 9119/10792 [1:01:41<12:46,  2.18it/s, loss=0.0687, rank=0.0400, reg=0.0287]
train epoch 1/1:  84%|████████▍ | 9119/10792 [1:01:41<12:46,  2.18it/s, loss=0.0992, rank=0.0444, reg=0.0548]
train epoch 1/1:  85%|████████▍ | 9120/10792 [1:01:41<11:00,  2.53it/s, loss=0.0992, rank=0.0444, reg=0.0548]
train epoch 1/1:  85%|████████▍ | 9120/10792 [1:01:41<11:00,  2.53it/s, loss=0.1796, rank=0.0503, reg=0.1293]
train epoch 1/1:  85%|████████▍ | 9121/10792 [1:01:41<12:10,  2.29it/s, loss=0.1796, rank=0.0503, reg=0.1293]
train epoch 1/1:  85%|████████▍ | 9121/10792 [1:01:42<12:10,  2.29it/s, loss=0.0480, rank=0.0073, reg=0.0407]
train epoch 1/1:  85%|████████▍ | 9122/10792 [1:01:42<15:28,  1.80it/s, loss=0.0480, rank=0.0073, reg=0.0407]
train epoch 1/1:  85%|████████▍ | 9122/10792 [1:01:43<15:28,  1.80it/s, loss=0.0865, rank=0.0305, reg=0.0560]
train epoch 1/1:  85%|████████▍ | 9123/10792 [1:01:43<16:58,  1.64it/s, loss=0.0865, rank=0.0305, reg=0.0560]
train epoch 1/1:  85%|████████▍ | 9123/10792 [1:01:43<16:58,  1.64it/s, loss=0.0987, rank=0.0611, reg=0.0376]
train epoch 1/1:  85%|████████▍ | 9124/10792 [1:01:43<13:30,  2.06it/s, loss=0.0987, rank=0.0611, reg=0.0376]
train epoch 1/1:  85%|████████▍ | 9124/10792 [1:01:44<13:30,  2.06it/s, loss=0.0398, rank=0.0126, reg=0.0271]
train epoch 1/1:  85%|████████▍ | 9125/10792 [1:01:44<14:28,  1.92it/s, loss=0.0398, rank=0.0126, reg=0.0271]
train epoch 1/1:  85%|████████▍ | 9125/10792 [1:01:44<14:28,  1.92it/s, loss=0.1204, rank=0.0416, reg=0.0788]
train epoch 1/1:  85%|████████▍ | 9126/10792 [1:01:44<11:48,  2.35it/s, loss=0.1204, rank=0.0416, reg=0.0788]
train epoch 1/1:  85%|████████▍ | 9126/10792 [1:01:45<11:48,  2.35it/s, loss=0.0592, rank=0.0220, reg=0.0371]
train epoch 1/1:  85%|████████▍ | 9127/10792 [1:01:45<12:49,  2.16it/s, loss=0.0592, rank=0.0220, reg=0.0371]
train epoch 1/1:  85%|████████▍ | 9127/10792 [1:01:45<12:49,  2.16it/s, loss=0.0967, rank=0.0734, reg=0.0233]
train epoch 1/1:  85%|████████▍ | 9128/10792 [1:01:45<11:32,  2.40it/s, loss=0.0967, rank=0.0734, reg=0.0233]
train epoch 1/1:  85%|████████▍ | 9128/10792 [1:01:45<11:32,  2.40it/s, loss=0.0802, rank=0.0195, reg=0.0607]
train epoch 1/1:  85%|████████▍ | 9129/10792 [1:01:45<09:51,  2.81it/s, loss=0.0802, rank=0.0195, reg=0.0607]
train epoch 1/1:  85%|████████▍ | 9129/10792 [1:01:46<09:51,  2.81it/s, loss=0.0740, rank=0.0292, reg=0.0448]
train epoch 1/1:  85%|████████▍ | 9130/10792 [1:01:46<13:50,  2.00it/s, loss=0.0740, rank=0.0292, reg=0.0448]
train epoch 1/1:  85%|████████▍ | 9130/10792 [1:01:47<13:50,  2.00it/s, loss=0.0223, rank=0.0055, reg=0.0169]
train epoch 1/1:  85%|████████▍ | 9131/10792 [1:01:47<15:50,  1.75it/s, loss=0.0223, rank=0.0055, reg=0.0169]
train epoch 1/1:  85%|████████▍ | 9131/10792 [1:01:47<15:50,  1.75it/s, loss=0.1175, rank=0.0847, reg=0.0328]
train epoch 1/1:  85%|████████▍ | 9132/10792 [1:01:47<12:30,  2.21it/s, loss=0.1175, rank=0.0847, reg=0.0328]
train epoch 1/1:  85%|████████▍ | 9132/10792 [1:01:47<12:30,  2.21it/s, loss=0.1093, rank=0.0686, reg=0.0407]
train epoch 1/1:  85%|████████▍ | 9133/10792 [1:01:47<11:13,  2.46it/s, loss=0.1093, rank=0.0686, reg=0.0407]
train epoch 1/1:  85%|████████▍ | 9133/10792 [1:01:47<11:13,  2.46it/s, loss=0.0555, rank=0.0114, reg=0.0441]
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train epoch 1/1:  85%|████████▍ | 9134/10792 [1:01:48<09:02,  3.06it/s, loss=0.0874, rank=0.0323, reg=0.0550]
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train epoch 1/1:  85%|████████▍ | 9135/10792 [1:01:48<09:05,  3.04it/s, loss=0.0596, rank=0.0426, reg=0.0169]
train epoch 1/1:  85%|████████▍ | 9136/10792 [1:01:48<10:08,  2.72it/s, loss=0.0596, rank=0.0426, reg=0.0169]
train epoch 1/1:  85%|████████▍ | 9136/10792 [1:01:48<10:08,  2.72it/s, loss=0.0597, rank=0.0563, reg=0.0034]
train epoch 1/1:  85%|████████▍ | 9137/10792 [1:01:48<08:32,  3.23it/s, loss=0.0597, rank=0.0563, reg=0.0034]
train epoch 1/1:  85%|████████▍ | 9137/10792 [1:01:48<08:32,  3.23it/s, loss=0.0602, rank=0.0409, reg=0.0193]
train epoch 1/1:  85%|████████▍ | 9138/10792 [1:01:48<07:27,  3.70it/s, loss=0.0602, rank=0.0409, reg=0.0193]
train epoch 1/1:  85%|████████▍ | 9138/10792 [1:01:49<07:27,  3.70it/s, loss=0.0609, rank=0.0350, reg=0.0259]
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train epoch 1/1:  85%|████████▍ | 9139/10792 [1:01:49<07:14,  3.80it/s, loss=0.1417, rank=0.0340, reg=0.1078]
train epoch 1/1:  85%|████████▍ | 9140/10792 [1:01:49<06:30,  4.23it/s, loss=0.1417, rank=0.0340, reg=0.1078]
train epoch 1/1:  85%|████████▍ | 9140/10792 [1:01:50<06:30,  4.23it/s, loss=0.0463, rank=0.0164, reg=0.0299]
train epoch 1/1:  85%|████████▍ | 9141/10792 [1:01:50<12:00,  2.29it/s, loss=0.0463, rank=0.0164, reg=0.0299]
train epoch 1/1:  85%|████████▍ | 9141/10792 [1:01:50<12:00,  2.29it/s, loss=0.1418, rank=0.0150, reg=0.1269]
train epoch 1/1:  85%|████████▍ | 9142/10792 [1:01:50<13:23,  2.05it/s, loss=0.1418, rank=0.0150, reg=0.1269]
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train epoch 1/1:  85%|████████▍ | 9143/10792 [1:01:51<11:39,  2.36it/s, loss=0.0484, rank=0.0328, reg=0.0156]
train epoch 1/1:  85%|████████▍ | 9143/10792 [1:01:51<11:39,  2.36it/s, loss=0.0831, rank=0.0496, reg=0.0334]
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train epoch 1/1:  85%|████████▍ | 9144/10792 [1:01:52<10:09,  2.70it/s, loss=0.0920, rank=0.0592, reg=0.0328]
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train epoch 1/1:  85%|████████▍ | 9145/10792 [1:01:52<14:20,  1.92it/s, loss=0.1294, rank=0.0698, reg=0.0596]
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train epoch 1/1:  85%|████████▍ | 9146/10792 [1:01:52<10:56,  2.51it/s, loss=0.0484, rank=0.0200, reg=0.0284]
train epoch 1/1:  85%|████████▍ | 9147/10792 [1:01:52<09:41,  2.83it/s, loss=0.0484, rank=0.0200, reg=0.0284]
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train epoch 1/1:  85%|████████▍ | 9148/10792 [1:01:53<11:56,  2.30it/s, loss=0.1211, rank=0.0105, reg=0.1107]
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train epoch 1/1:  85%|████████▌ | 9181/10792 [1:02:06<08:23,  3.20it/s, loss=0.1569, rank=0.0998, reg=0.0571]
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train epoch 1/1:  85%|████████▌ | 9189/10792 [1:02:08<06:42,  3.98it/s, loss=0.0783, rank=0.0363, reg=0.0420]
train epoch 1/1:  85%|████████▌ | 9189/10792 [1:02:08<06:42,  3.98it/s, loss=0.0456, rank=0.0331, reg=0.0126]
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train epoch 1/1:  85%|████████▌ | 9191/10792 [1:02:10<14:48,  1.80it/s, loss=0.0864, rank=0.0656, reg=0.0208]
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train epoch 1/1:  85%|████████▌ | 9194/10792 [1:02:11<10:54,  2.44it/s, loss=0.2864, rank=0.1364, reg=0.1500]
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train epoch 1/1:  85%|████████▌ | 9210/10792 [1:02:17<09:55,  2.66it/s, loss=0.0566, rank=0.0365, reg=0.0200]
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train epoch 1/1:  85%|████████▌ | 9211/10792 [1:02:18<12:08,  2.17it/s, loss=0.0242, rank=0.0043, reg=0.0199]
train epoch 1/1:  85%|████████▌ | 9211/10792 [1:02:19<12:08,  2.17it/s, loss=0.0703, rank=0.0608, reg=0.0095]
train epoch 1/1:  85%|████████▌ | 9212/10792 [1:02:19<16:05,  1.64it/s, loss=0.0703, rank=0.0608, reg=0.0095]
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train epoch 1/1:  85%|████████▌ | 9213/10792 [1:02:19<16:24,  1.60it/s, loss=0.1957, rank=0.0141, reg=0.1817]
train epoch 1/1:  85%|████████▌ | 9213/10792 [1:02:19<16:24,  1.60it/s, loss=0.0349, rank=0.0000, reg=0.0349]
train epoch 1/1:  85%|████████▌ | 9214/10792 [1:02:19<14:05,  1.87it/s, loss=0.0349, rank=0.0000, reg=0.0349]
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train epoch 1/1:  85%|████████▌ | 9215/10792 [1:02:20<12:22,  2.12it/s, loss=0.0219, rank=0.0122, reg=0.0097]
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train epoch 1/1:  85%|████████▌ | 9216/10792 [1:02:20<10:42,  2.45it/s, loss=0.0606, rank=0.0424, reg=0.0182]
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train epoch 1/1:  85%|████████▌ | 9217/10792 [1:02:20<09:31,  2.75it/s, loss=0.0639, rank=0.0334, reg=0.0305]
train epoch 1/1:  85%|████████▌ | 9217/10792 [1:02:22<09:31,  2.75it/s, loss=0.1431, rank=0.0256, reg=0.1175]
train epoch 1/1:  85%|████████▌ | 9218/10792 [1:02:22<17:07,  1.53it/s, loss=0.1431, rank=0.0256, reg=0.1175]
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train epoch 1/1:  85%|████████▌ | 9219/10792 [1:02:22<14:53,  1.76it/s, loss=0.0594, rank=0.0347, reg=0.0248]
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train epoch 1/1:  85%|████████▌ | 9220/10792 [1:02:22<12:18,  2.13it/s, loss=0.0544, rank=0.0365, reg=0.0179]
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train epoch 1/1:  85%|████████▌ | 9221/10792 [1:02:22<09:53,  2.65it/s, loss=0.0772, rank=0.0498, reg=0.0274]
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train epoch 1/1:  85%|████████▌ | 9224/10792 [1:02:24<09:21,  2.79it/s, loss=0.0816, rank=0.0549, reg=0.0267]
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train epoch 1/1:  85%|████████▌ | 9226/10792 [1:02:25<12:01,  2.17it/s, loss=0.0936, rank=0.0640, reg=0.0296]
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train epoch 1/1:  86%|████████▌ | 9228/10792 [1:02:26<13:24,  1.94it/s, loss=0.0439, rank=0.0374, reg=0.0065]
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train epoch 1/1:  86%|████████▌ | 9229/10792 [1:02:26<10:58,  2.37it/s, loss=0.1046, rank=0.0292, reg=0.0754]
train epoch 1/1:  86%|████████▌ | 9230/10792 [1:02:26<09:34,  2.72it/s, loss=0.1046, rank=0.0292, reg=0.0754]
train epoch 1/1:  86%|████████▌ | 9230/10792 [1:02:26<09:34,  2.72it/s, loss=0.0719, rank=0.0385, reg=0.0334]
train epoch 1/1:  86%|████████▌ | 9231/10792 [1:02:26<08:58,  2.90it/s, loss=0.0719, rank=0.0385, reg=0.0334]
train epoch 1/1:  86%|████████▌ | 9231/10792 [1:02:27<08:58,  2.90it/s, loss=0.0987, rank=0.0371, reg=0.0616]
train epoch 1/1:  86%|████████▌ | 9232/10792 [1:02:27<12:05,  2.15it/s, loss=0.0987, rank=0.0371, reg=0.0616]
train epoch 1/1:  86%|████████▌ | 9232/10792 [1:02:27<12:05,  2.15it/s, loss=0.2042, rank=0.1149, reg=0.0893]
train epoch 1/1:  86%|████████▌ | 9233/10792 [1:02:27<09:22,  2.77it/s, loss=0.2042, rank=0.1149, reg=0.0893]
train epoch 1/1:  86%|████████▌ | 9233/10792 [1:02:28<09:22,  2.77it/s, loss=0.0337, rank=0.0172, reg=0.0164]
train epoch 1/1:  86%|████████▌ | 9234/10792 [1:02:28<10:09,  2.56it/s, loss=0.0337, rank=0.0172, reg=0.0164]
train epoch 1/1:  86%|████████▌ | 9234/10792 [1:02:28<10:09,  2.56it/s, loss=0.0962, rank=0.0466, reg=0.0495]
train epoch 1/1:  86%|████████▌ | 9235/10792 [1:02:28<09:47,  2.65it/s, loss=0.0962, rank=0.0466, reg=0.0495]
train epoch 1/1:  86%|████████▌ | 9235/10792 [1:02:28<09:47,  2.65it/s, loss=0.0792, rank=0.0376, reg=0.0417]
train epoch 1/1:  86%|████████▌ | 9236/10792 [1:02:28<07:55,  3.27it/s, loss=0.0792, rank=0.0376, reg=0.0417]
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train epoch 1/1:  86%|████████▌ | 9237/10792 [1:02:29<06:58,  3.72it/s, loss=0.1080, rank=0.0542, reg=0.0539]
train epoch 1/1:  86%|████████▌ | 9238/10792 [1:02:29<08:58,  2.89it/s, loss=0.1080, rank=0.0542, reg=0.0539]
train epoch 1/1:  86%|████████▌ | 9238/10792 [1:02:29<08:58,  2.89it/s, loss=0.0629, rank=0.0510, reg=0.0119]
train epoch 1/1:  86%|████████▌ | 9239/10792 [1:02:29<08:23,  3.08it/s, loss=0.0629, rank=0.0510, reg=0.0119]
train epoch 1/1:  86%|████████▌ | 9239/10792 [1:02:29<08:23,  3.08it/s, loss=0.0751, rank=0.0557, reg=0.0194]
train epoch 1/1:  86%|████████▌ | 9240/10792 [1:02:29<07:21,  3.52it/s, loss=0.0751, rank=0.0557, reg=0.0194]
train epoch 1/1:  86%|████████▌ | 9240/10792 [1:02:30<07:21,  3.52it/s, loss=0.0503, rank=0.0366, reg=0.0137]
train epoch 1/1:  86%|████████▌ | 9241/10792 [1:02:30<08:03,  3.21it/s, loss=0.0503, rank=0.0366, reg=0.0137]
train epoch 1/1:  86%|████████▌ | 9241/10792 [1:02:31<08:03,  3.21it/s, loss=0.0696, rank=0.0523, reg=0.0173]
train epoch 1/1:  86%|████████▌ | 9242/10792 [1:02:31<10:59,  2.35it/s, loss=0.0696, rank=0.0523, reg=0.0173]
train epoch 1/1:  86%|████████▌ | 9242/10792 [1:02:31<10:59,  2.35it/s, loss=0.0796, rank=0.0408, reg=0.0388]
train epoch 1/1:  86%|████████▌ | 9243/10792 [1:02:31<13:25,  1.92it/s, loss=0.0796, rank=0.0408, reg=0.0388]
train epoch 1/1:  86%|████████▌ | 9243/10792 [1:02:32<13:25,  1.92it/s, loss=0.0694, rank=0.0478, reg=0.0216]
train epoch 1/1:  86%|████████▌ | 9244/10792 [1:02:32<13:34,  1.90it/s, loss=0.0694, rank=0.0478, reg=0.0216]
train epoch 1/1:  86%|████████▌ | 9244/10792 [1:02:33<13:34,  1.90it/s, loss=0.0624, rank=0.0388, reg=0.0236]
train epoch 1/1:  86%|████████▌ | 9245/10792 [1:02:33<15:06,  1.71it/s, loss=0.0624, rank=0.0388, reg=0.0236]
train epoch 1/1:  86%|████████▌ | 9245/10792 [1:02:33<15:06,  1.71it/s, loss=0.0732, rank=0.0507, reg=0.0226]
train epoch 1/1:  86%|████████▌ | 9246/10792 [1:02:33<12:19,  2.09it/s, loss=0.0732, rank=0.0507, reg=0.0226]
train epoch 1/1:  86%|████████▌ | 9246/10792 [1:02:33<12:19,  2.09it/s, loss=0.0900, rank=0.0301, reg=0.0599]
train epoch 1/1:  86%|████████▌ | 9247/10792 [1:02:33<10:29,  2.45it/s, loss=0.0900, rank=0.0301, reg=0.0599]
train epoch 1/1:  86%|████████▌ | 9247/10792 [1:02:33<10:29,  2.45it/s, loss=0.0847, rank=0.0702, reg=0.0145]
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train epoch 1/1:  86%|████████▌ | 9249/10792 [1:02:34<08:46,  2.93it/s, loss=0.0969, rank=0.0928, reg=0.0041]
train epoch 1/1:  86%|████████▌ | 9250/10792 [1:02:34<07:29,  3.43it/s, loss=0.0969, rank=0.0928, reg=0.0041]
train epoch 1/1:  86%|████████▌ | 9250/10792 [1:02:34<07:29,  3.43it/s, loss=0.0290, rank=0.0124, reg=0.0166]
train epoch 1/1:  86%|████████▌ | 9251/10792 [1:02:34<06:46,  3.79it/s, loss=0.0290, rank=0.0124, reg=0.0166]
train epoch 1/1:  86%|████████▌ | 9251/10792 [1:02:34<06:46,  3.79it/s, loss=0.0950, rank=0.0756, reg=0.0194]
train epoch 1/1:  86%|████████▌ | 9252/10792 [1:02:34<06:38,  3.86it/s, loss=0.0950, rank=0.0756, reg=0.0194]
train epoch 1/1:  86%|████████▌ | 9252/10792 [1:02:35<06:38,  3.86it/s, loss=0.1415, rank=0.0479, reg=0.0935]
train epoch 1/1:  86%|████████▌ | 9253/10792 [1:02:35<07:26,  3.45it/s, loss=0.1415, rank=0.0479, reg=0.0935]
train epoch 1/1:  86%|████████▌ | 9253/10792 [1:02:35<07:26,  3.45it/s, loss=0.0777, rank=0.0529, reg=0.0248]
train epoch 1/1:  86%|████████▌ | 9254/10792 [1:02:35<06:53,  3.72it/s, loss=0.0777, rank=0.0529, reg=0.0248]
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train epoch 1/1:  86%|████████▌ | 9255/10792 [1:02:36<11:33,  2.22it/s, loss=0.1156, rank=0.0640, reg=0.0516]
train epoch 1/1:  86%|████████▌ | 9255/10792 [1:02:36<11:33,  2.22it/s, loss=0.0593, rank=0.0392, reg=0.0201]
train epoch 1/1:  86%|████████▌ | 9256/10792 [1:02:36<14:00,  1.83it/s, loss=0.0593, rank=0.0392, reg=0.0201]
train epoch 1/1:  86%|████████▌ | 9256/10792 [1:02:37<14:00,  1.83it/s, loss=0.0544, rank=0.0058, reg=0.0485]
train epoch 1/1:  86%|████████▌ | 9257/10792 [1:02:37<11:45,  2.18it/s, loss=0.0544, rank=0.0058, reg=0.0485]
train epoch 1/1:  86%|████████▌ | 9257/10792 [1:02:37<11:45,  2.18it/s, loss=0.0786, rank=0.0696, reg=0.0090]
train epoch 1/1:  86%|████████▌ | 9258/10792 [1:02:37<10:33,  2.42it/s, loss=0.0786, rank=0.0696, reg=0.0090]
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train epoch 1/1:  86%|████████▌ | 9259/10792 [1:02:37<08:20,  3.06it/s, loss=0.0529, rank=0.0439, reg=0.0090]
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train epoch 1/1:  86%|████████▌ | 9260/10792 [1:02:37<08:31,  2.99it/s, loss=0.0625, rank=0.0318, reg=0.0308]
train epoch 1/1:  86%|████████▌ | 9260/10792 [1:02:38<08:31,  2.99it/s, loss=0.0319, rank=0.0252, reg=0.0067]
train epoch 1/1:  86%|████████▌ | 9261/10792 [1:02:38<08:18,  3.07it/s, loss=0.0319, rank=0.0252, reg=0.0067]
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train epoch 1/1:  86%|████████▌ | 9262/10792 [1:02:38<10:22,  2.46it/s, loss=0.0480, rank=0.0324, reg=0.0156]
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train epoch 1/1:  86%|████████▌ | 9263/10792 [1:02:39<09:18,  2.74it/s, loss=0.0443, rank=0.0244, reg=0.0199]
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train epoch 1/1:  86%|████████▌ | 9264/10792 [1:02:39<08:37,  2.95it/s, loss=0.0800, rank=0.0678, reg=0.0123]
train epoch 1/1:  86%|████████▌ | 9264/10792 [1:02:39<08:37,  2.95it/s, loss=0.0631, rank=0.0393, reg=0.0238]
train epoch 1/1:  86%|████████▌ | 9265/10792 [1:02:39<07:39,  3.32it/s, loss=0.0631, rank=0.0393, reg=0.0238]
train epoch 1/1:  86%|████████▌ | 9265/10792 [1:02:39<07:39,  3.32it/s, loss=0.0585, rank=0.0447, reg=0.0138]
train epoch 1/1:  86%|████████▌ | 9266/10792 [1:02:39<06:49,  3.73it/s, loss=0.0585, rank=0.0447, reg=0.0138]
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train epoch 1/1:  86%|████████▌ | 9267/10792 [1:02:40<07:33,  3.36it/s, loss=0.0351, rank=0.0241, reg=0.0110]
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train epoch 1/1:  86%|████████▌ | 9269/10792 [1:02:40<08:09,  3.11it/s, loss=0.0251, rank=0.0141, reg=0.0110]
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train epoch 1/1:  86%|████████▌ | 9270/10792 [1:02:41<07:51,  3.23it/s, loss=0.1202, rank=0.0435, reg=0.0766]
train epoch 1/1:  86%|████████▌ | 9270/10792 [1:02:41<07:51,  3.23it/s, loss=0.1435, rank=0.0944, reg=0.0491]
train epoch 1/1:  86%|████████▌ | 9271/10792 [1:02:41<07:02,  3.60it/s, loss=0.1435, rank=0.0944, reg=0.0491]
train epoch 1/1:  86%|████████▌ | 9271/10792 [1:02:41<07:02,  3.60it/s, loss=0.0354, rank=0.0191, reg=0.0163]
train epoch 1/1:  86%|████████▌ | 9272/10792 [1:02:41<06:27,  3.93it/s, loss=0.0354, rank=0.0191, reg=0.0163]
train epoch 1/1:  86%|████████▌ | 9272/10792 [1:02:41<06:27,  3.93it/s, loss=0.0569, rank=0.0367, reg=0.0202]
train epoch 1/1:  86%|████████▌ | 9273/10792 [1:02:41<06:33,  3.86it/s, loss=0.0569, rank=0.0367, reg=0.0202]
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train epoch 1/1:  86%|████████▌ | 9274/10792 [1:02:41<05:36,  4.52it/s, loss=0.1131, rank=0.0496, reg=0.0635]
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train epoch 1/1:  86%|████████▌ | 9281/10792 [1:02:44<08:28,  2.97it/s, loss=0.0789, rank=0.0453, reg=0.0337]
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train epoch 1/1:  86%|████████▌ | 9292/10792 [1:02:48<06:21,  3.93it/s, loss=0.0676, rank=0.0423, reg=0.0253]
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train epoch 1/1:  86%|████████▌ | 9293/10792 [1:02:48<06:47,  3.68it/s, loss=0.0469, rank=0.0290, reg=0.0179]
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train epoch 1/1:  86%|████████▌ | 9294/10792 [1:02:48<07:07,  3.50it/s, loss=0.0557, rank=0.0425, reg=0.0132]
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train epoch 1/1:  86%|████████▌ | 9295/10792 [1:02:49<06:30,  3.83it/s, loss=0.0577, rank=0.0416, reg=0.0161]
train epoch 1/1:  86%|████████▌ | 9296/10792 [1:02:49<06:04,  4.10it/s, loss=0.0577, rank=0.0416, reg=0.0161]
train epoch 1/1:  86%|████████▌ | 9296/10792 [1:02:49<06:04,  4.10it/s, loss=0.0545, rank=0.0349, reg=0.0196]
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train epoch 1/1:  86%|████████▌ | 9297/10792 [1:02:50<10:08,  2.46it/s, loss=0.0541, rank=0.0426, reg=0.0115]
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train epoch 1/1:  86%|████████▌ | 9298/10792 [1:02:51<09:29,  2.63it/s, loss=0.0956, rank=0.0290, reg=0.0665]
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train epoch 1/1:  86%|████████▌ | 9299/10792 [1:02:51<12:06,  2.05it/s, loss=0.0705, rank=0.0337, reg=0.0367]
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train epoch 1/1:  86%|████████▌ | 9300/10792 [1:02:52<14:02,  1.77it/s, loss=0.0701, rank=0.0303, reg=0.0398]
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train epoch 1/1:  86%|████████▌ | 9301/10792 [1:02:52<14:57,  1.66it/s, loss=0.0198, rank=0.0164, reg=0.0034]
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train epoch 1/1:  86%|████████▌ | 9302/10792 [1:02:53<12:26,  2.00it/s, loss=0.1031, rank=0.0297, reg=0.0733]
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train epoch 1/1:  86%|████████▌ | 9303/10792 [1:02:53<14:17,  1.74it/s, loss=0.0897, rank=0.0476, reg=0.0422]
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train epoch 1/1:  86%|████████▌ | 9304/10792 [1:02:54<12:07,  2.04it/s, loss=0.0810, rank=0.0515, reg=0.0295]
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train epoch 1/1:  86%|████████▌ | 9305/10792 [1:02:54<13:24,  1.85it/s, loss=0.0900, rank=0.0501, reg=0.0399]
train epoch 1/1:  86%|████████▌ | 9306/10792 [1:02:54<10:37,  2.33it/s, loss=0.0900, rank=0.0501, reg=0.0399]
train epoch 1/1:  86%|████████▌ | 9306/10792 [1:02:54<10:37,  2.33it/s, loss=0.1182, rank=0.0410, reg=0.0771]
train epoch 1/1:  86%|████████▌ | 9307/10792 [1:02:54<10:22,  2.39it/s, loss=0.1182, rank=0.0410, reg=0.0771]
train epoch 1/1:  86%|████████▌ | 9307/10792 [1:02:55<10:22,  2.39it/s, loss=0.0839, rank=0.0492, reg=0.0347]
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train epoch 1/1:  86%|████████▋ | 9309/10792 [1:02:55<08:16,  2.99it/s, loss=0.0739, rank=0.0155, reg=0.0584]
train epoch 1/1:  86%|████████▋ | 9309/10792 [1:02:56<08:16,  2.99it/s, loss=0.0450, rank=0.0125, reg=0.0324]
train epoch 1/1:  86%|████████▋ | 9310/10792 [1:02:56<11:04,  2.23it/s, loss=0.0450, rank=0.0125, reg=0.0324]
train epoch 1/1:  86%|████████▋ | 9310/10792 [1:02:56<11:04,  2.23it/s, loss=0.0945, rank=0.0304, reg=0.0641]
train epoch 1/1:  86%|████████▋ | 9311/10792 [1:02:56<11:37,  2.12it/s, loss=0.0945, rank=0.0304, reg=0.0641]
train epoch 1/1:  86%|████████▋ | 9311/10792 [1:02:57<11:37,  2.12it/s, loss=0.1343, rank=0.0375, reg=0.0968]
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train epoch 1/1:  86%|████████▋ | 9313/10792 [1:02:57<10:48,  2.28it/s, loss=0.1151, rank=0.0910, reg=0.0241]
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train epoch 1/1:  86%|████████▋ | 9314/10792 [1:02:57<09:58,  2.47it/s, loss=0.0644, rank=0.0220, reg=0.0424]
train epoch 1/1:  86%|████████▋ | 9314/10792 [1:02:58<09:58,  2.47it/s, loss=0.0448, rank=0.0311, reg=0.0138]
train epoch 1/1:  86%|████████▋ | 9315/10792 [1:02:58<11:50,  2.08it/s, loss=0.0448, rank=0.0311, reg=0.0138]
train epoch 1/1:  86%|████████▋ | 9315/10792 [1:02:58<11:50,  2.08it/s, loss=0.0389, rank=0.0227, reg=0.0161]
train epoch 1/1:  86%|████████▋ | 9316/10792 [1:02:58<10:01,  2.45it/s, loss=0.0389, rank=0.0227, reg=0.0161]
train epoch 1/1:  86%|████████▋ | 9316/10792 [1:02:59<10:01,  2.45it/s, loss=0.0512, rank=0.0128, reg=0.0384]
train epoch 1/1:  86%|████████▋ | 9317/10792 [1:02:59<08:31,  2.88it/s, loss=0.0512, rank=0.0128, reg=0.0384]
train epoch 1/1:  86%|████████▋ | 9317/10792 [1:02:59<08:31,  2.88it/s, loss=0.0829, rank=0.0740, reg=0.0089]
train epoch 1/1:  86%|████████▋ | 9318/10792 [1:02:59<07:13,  3.40it/s, loss=0.0829, rank=0.0740, reg=0.0089]
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train epoch 1/1:  86%|████████▋ | 9319/10792 [1:02:59<08:39,  2.83it/s, loss=0.0772, rank=0.0247, reg=0.0525]
train epoch 1/1:  86%|████████▋ | 9319/10792 [1:02:59<08:39,  2.83it/s, loss=0.1818, rank=0.1253, reg=0.0565]
train epoch 1/1:  86%|████████▋ | 9320/10792 [1:02:59<08:02,  3.05it/s, loss=0.1818, rank=0.1253, reg=0.0565]
train epoch 1/1:  86%|████████▋ | 9320/10792 [1:03:00<08:02,  3.05it/s, loss=0.0603, rank=0.0538, reg=0.0065]
train epoch 1/1:  86%|████████▋ | 9321/10792 [1:03:00<07:21,  3.33it/s, loss=0.0603, rank=0.0538, reg=0.0065]
train epoch 1/1:  86%|████████▋ | 9321/10792 [1:03:00<07:21,  3.33it/s, loss=0.0652, rank=0.0474, reg=0.0178]
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train epoch 1/1:  86%|████████▋ | 9326/10792 [1:03:01<06:04,  4.03it/s, loss=0.0749, rank=0.0553, reg=0.0196]
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train epoch 1/1:  86%|████████▋ | 9330/10792 [1:03:04<13:55,  1.75it/s, loss=0.0281, rank=0.0000, reg=0.0281]
train epoch 1/1:  86%|████████▋ | 9330/10792 [1:03:04<13:55,  1.75it/s, loss=0.0619, rank=0.0299, reg=0.0320]
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train epoch 1/1:  86%|████████▋ | 9334/10792 [1:03:05<09:12,  2.64it/s, loss=0.1517, rank=0.1351, reg=0.0166]
train epoch 1/1:  86%|████████▋ | 9335/10792 [1:03:05<09:01,  2.69it/s, loss=0.1517, rank=0.1351, reg=0.0166]
train epoch 1/1:  86%|████████▋ | 9335/10792 [1:03:06<09:01,  2.69it/s, loss=0.1755, rank=0.0541, reg=0.1214]
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train epoch 1/1:  87%|████████▋ | 9337/10792 [1:03:07<13:40,  1.77it/s, loss=0.0915, rank=0.0212, reg=0.0703]
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train epoch 1/1:  87%|████████▋ | 9338/10792 [1:03:07<11:23,  2.13it/s, loss=0.0200, rank=0.0095, reg=0.0105]
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train epoch 1/1:  87%|████████▋ | 9339/10792 [1:03:07<09:38,  2.51it/s, loss=0.1795, rank=0.1422, reg=0.0373]
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train epoch 1/1:  87%|████████▋ | 9343/10792 [1:03:09<10:16,  2.35it/s, loss=0.1171, rank=0.0352, reg=0.0819]
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train epoch 1/1:  87%|████████▋ | 9352/10792 [1:03:13<12:30,  1.92it/s, loss=0.0787, rank=0.0487, reg=0.0300]
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train epoch 1/1:  87%|████████▋ | 9353/10792 [1:03:15<16:20,  1.47it/s, loss=0.1047, rank=0.0890, reg=0.0158]
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train epoch 1/1:  87%|████████▋ | 9355/10792 [1:03:15<12:00,  1.99it/s, loss=0.0382, rank=0.0100, reg=0.0281]
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train epoch 1/1:  87%|████████▋ | 9356/10792 [1:03:16<10:06,  2.37it/s, loss=0.0714, rank=0.0514, reg=0.0200]
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train epoch 1/1:  87%|████████▋ | 9357/10792 [1:03:16<09:32,  2.50it/s, loss=0.0396, rank=0.0318, reg=0.0078]
train epoch 1/1:  87%|████████▋ | 9358/10792 [1:03:16<10:32,  2.27it/s, loss=0.0396, rank=0.0318, reg=0.0078]
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train epoch 1/1:  87%|████████▋ | 9359/10792 [1:03:16<08:29,  2.81it/s, loss=0.0729, rank=0.0540, reg=0.0189]
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train epoch 1/1:  87%|████████▋ | 9360/10792 [1:03:17<10:17,  2.32it/s, loss=0.1144, rank=0.0559, reg=0.0585]
train epoch 1/1:  87%|████████▋ | 9360/10792 [1:03:17<10:17,  2.32it/s, loss=0.0682, rank=0.0431, reg=0.0251]
train epoch 1/1:  87%|████████▋ | 9361/10792 [1:03:17<09:40,  2.46it/s, loss=0.0682, rank=0.0431, reg=0.0251]
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train epoch 1/1:  87%|████████▋ | 9363/10792 [1:03:18<08:38,  2.76it/s, loss=0.0859, rank=0.0523, reg=0.0336]
train epoch 1/1:  87%|████████▋ | 9364/10792 [1:03:18<09:18,  2.56it/s, loss=0.0859, rank=0.0523, reg=0.0336]
train epoch 1/1:  87%|████████▋ | 9364/10792 [1:03:18<09:18,  2.56it/s, loss=0.0488, rank=0.0243, reg=0.0244]
train epoch 1/1:  87%|████████▋ | 9365/10792 [1:03:18<08:10,  2.91it/s, loss=0.0488, rank=0.0243, reg=0.0244]
train epoch 1/1:  87%|████████▋ | 9365/10792 [1:03:19<08:10,  2.91it/s, loss=0.0917, rank=0.0629, reg=0.0288]
train epoch 1/1:  87%|████████▋ | 9366/10792 [1:03:19<07:31,  3.16it/s, loss=0.0917, rank=0.0629, reg=0.0288]
train epoch 1/1:  87%|████████▋ | 9366/10792 [1:03:20<07:31,  3.16it/s, loss=0.0993, rank=0.0583, reg=0.0410]
train epoch 1/1:  87%|████████▋ | 9367/10792 [1:03:20<11:59,  1.98it/s, loss=0.0993, rank=0.0583, reg=0.0410]
train epoch 1/1:  87%|████████▋ | 9367/10792 [1:03:20<11:59,  1.98it/s, loss=0.0602, rank=0.0297, reg=0.0305]
train epoch 1/1:  87%|████████▋ | 9368/10792 [1:03:20<11:03,  2.15it/s, loss=0.0602, rank=0.0297, reg=0.0305]
train epoch 1/1:  87%|████████▋ | 9368/10792 [1:03:20<11:03,  2.15it/s, loss=0.0922, rank=0.0350, reg=0.0573]
train epoch 1/1:  87%|████████▋ | 9369/10792 [1:03:20<09:54,  2.39it/s, loss=0.0922, rank=0.0350, reg=0.0573]
train epoch 1/1:  87%|████████▋ | 9369/10792 [1:03:21<09:54,  2.39it/s, loss=0.0298, rank=0.0205, reg=0.0093]
train epoch 1/1:  87%|████████▋ | 9370/10792 [1:03:21<08:46,  2.70it/s, loss=0.0298, rank=0.0205, reg=0.0093]
train epoch 1/1:  87%|████████▋ | 9370/10792 [1:03:21<08:46,  2.70it/s, loss=0.0848, rank=0.0522, reg=0.0326]
train epoch 1/1:  87%|████████▋ | 9371/10792 [1:03:21<08:14,  2.87it/s, loss=0.0848, rank=0.0522, reg=0.0326]
train epoch 1/1:  87%|████████▋ | 9371/10792 [1:03:21<08:14,  2.87it/s, loss=0.0509, rank=0.0372, reg=0.0137]
train epoch 1/1:  87%|████████▋ | 9372/10792 [1:03:21<09:01,  2.62it/s, loss=0.0509, rank=0.0372, reg=0.0137]
train epoch 1/1:  87%|████████▋ | 9372/10792 [1:03:22<09:01,  2.62it/s, loss=0.0573, rank=0.0540, reg=0.0032]
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train epoch 1/1:  87%|████████▋ | 9373/10792 [1:03:22<07:51,  3.01it/s, loss=0.0451, rank=0.0224, reg=0.0227]
train epoch 1/1:  87%|████████▋ | 9374/10792 [1:03:22<06:27,  3.66it/s, loss=0.0451, rank=0.0224, reg=0.0227]
train epoch 1/1:  87%|████████▋ | 9374/10792 [1:03:22<06:27,  3.66it/s, loss=0.0656, rank=0.0482, reg=0.0174]
train epoch 1/1:  87%|████████▋ | 9375/10792 [1:03:22<06:49,  3.46it/s, loss=0.0656, rank=0.0482, reg=0.0174]
train epoch 1/1:  87%|████████▋ | 9375/10792 [1:03:23<06:49,  3.46it/s, loss=0.0353, rank=0.0269, reg=0.0084]
train epoch 1/1:  87%|████████▋ | 9376/10792 [1:03:23<12:21,  1.91it/s, loss=0.0353, rank=0.0269, reg=0.0084]
train epoch 1/1:  87%|████████▋ | 9376/10792 [1:03:24<12:21,  1.91it/s, loss=0.0493, rank=0.0000, reg=0.0493]
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train epoch 1/1:  87%|████████▋ | 9377/10792 [1:03:24<14:09,  1.67it/s, loss=0.0928, rank=0.0344, reg=0.0584]
train epoch 1/1:  87%|████████▋ | 9378/10792 [1:03:24<13:28,  1.75it/s, loss=0.0928, rank=0.0344, reg=0.0584]
train epoch 1/1:  87%|████████▋ | 9378/10792 [1:03:25<13:28,  1.75it/s, loss=0.1070, rank=0.0405, reg=0.0665]
train epoch 1/1:  87%|████████▋ | 9379/10792 [1:03:25<11:56,  1.97it/s, loss=0.1070, rank=0.0405, reg=0.0665]
train epoch 1/1:  87%|████████▋ | 9379/10792 [1:03:25<11:56,  1.97it/s, loss=0.0587, rank=0.0199, reg=0.0388]
train epoch 1/1:  87%|████████▋ | 9380/10792 [1:03:25<11:39,  2.02it/s, loss=0.0587, rank=0.0199, reg=0.0388]
train epoch 1/1:  87%|████████▋ | 9380/10792 [1:03:25<11:39,  2.02it/s, loss=0.0359, rank=0.0295, reg=0.0064]
train epoch 1/1:  87%|████████▋ | 9381/10792 [1:03:25<09:48,  2.40it/s, loss=0.0359, rank=0.0295, reg=0.0064]
train epoch 1/1:  87%|████████▋ | 9381/10792 [1:03:26<09:48,  2.40it/s, loss=0.0254, rank=0.0189, reg=0.0064]
train epoch 1/1:  87%|████████▋ | 9382/10792 [1:03:26<12:56,  1.81it/s, loss=0.0254, rank=0.0189, reg=0.0064]
train epoch 1/1:  87%|████████▋ | 9382/10792 [1:03:27<12:56,  1.81it/s, loss=0.0324, rank=0.0217, reg=0.0108]
train epoch 1/1:  87%|████████▋ | 9383/10792 [1:03:27<14:34,  1.61it/s, loss=0.0324, rank=0.0217, reg=0.0108]
train epoch 1/1:  87%|████████▋ | 9383/10792 [1:03:28<14:34,  1.61it/s, loss=0.0619, rank=0.0374, reg=0.0245]
train epoch 1/1:  87%|████████▋ | 9384/10792 [1:03:28<15:59,  1.47it/s, loss=0.0619, rank=0.0374, reg=0.0245]
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train epoch 1/1:  87%|████████▋ | 9385/10792 [1:03:28<13:01,  1.80it/s, loss=0.0177, rank=0.0130, reg=0.0047]
train epoch 1/1:  87%|████████▋ | 9385/10792 [1:03:29<13:01,  1.80it/s, loss=0.0631, rank=0.0125, reg=0.0507]
train epoch 1/1:  87%|████████▋ | 9386/10792 [1:03:29<11:57,  1.96it/s, loss=0.0631, rank=0.0125, reg=0.0507]
train epoch 1/1:  87%|████████▋ | 9386/10792 [1:03:29<11:57,  1.96it/s, loss=0.1500, rank=0.0650, reg=0.0850]
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train epoch 1/1:  87%|████████▋ | 9387/10792 [1:03:30<10:03,  2.33it/s, loss=0.0925, rank=0.0599, reg=0.0326]
train epoch 1/1:  87%|████████▋ | 9388/10792 [1:03:30<12:16,  1.91it/s, loss=0.0925, rank=0.0599, reg=0.0326]
train epoch 1/1:  87%|████████▋ | 9388/10792 [1:03:30<12:16,  1.91it/s, loss=0.0235, rank=0.0200, reg=0.0034]
train epoch 1/1:  87%|████████▋ | 9389/10792 [1:03:30<11:46,  1.99it/s, loss=0.0235, rank=0.0200, reg=0.0034]
train epoch 1/1:  87%|████████▋ | 9389/10792 [1:03:30<11:46,  1.99it/s, loss=0.0946, rank=0.0254, reg=0.0692]
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train epoch 1/1:  87%|████████▋ | 9390/10792 [1:03:31<10:13,  2.29it/s, loss=0.2008, rank=0.0843, reg=0.1166]
train epoch 1/1:  87%|████████▋ | 9391/10792 [1:03:31<09:34,  2.44it/s, loss=0.2008, rank=0.0843, reg=0.1166]
train epoch 1/1:  87%|████████▋ | 9391/10792 [1:03:31<09:34,  2.44it/s, loss=0.1965, rank=0.0667, reg=0.1298]
train epoch 1/1:  87%|████████▋ | 9392/10792 [1:03:31<10:05,  2.31it/s, loss=0.1965, rank=0.0667, reg=0.1298]
train epoch 1/1:  87%|████████▋ | 9392/10792 [1:03:32<10:05,  2.31it/s, loss=0.1009, rank=0.0420, reg=0.0590]
train epoch 1/1:  87%|████████▋ | 9393/10792 [1:03:32<09:35,  2.43it/s, loss=0.1009, rank=0.0420, reg=0.0590]
train epoch 1/1:  87%|████████▋ | 9393/10792 [1:03:32<09:35,  2.43it/s, loss=0.0517, rank=0.0307, reg=0.0210]
train epoch 1/1:  87%|████████▋ | 9394/10792 [1:03:32<09:43,  2.40it/s, loss=0.0517, rank=0.0307, reg=0.0210]
train epoch 1/1:  87%|████████▋ | 9394/10792 [1:03:33<09:43,  2.40it/s, loss=0.1048, rank=0.0409, reg=0.0638]
train epoch 1/1:  87%|████████▋ | 9395/10792 [1:03:33<11:25,  2.04it/s, loss=0.1048, rank=0.0409, reg=0.0638]
train epoch 1/1:  87%|████████▋ | 9395/10792 [1:03:33<11:25,  2.04it/s, loss=0.0860, rank=0.0435, reg=0.0425]
train epoch 1/1:  87%|████████▋ | 9396/10792 [1:03:33<10:53,  2.14it/s, loss=0.0860, rank=0.0435, reg=0.0425]
train epoch 1/1:  87%|████████▋ | 9396/10792 [1:03:34<10:53,  2.14it/s, loss=0.0388, rank=0.0205, reg=0.0183]
train epoch 1/1:  87%|████████▋ | 9397/10792 [1:03:34<11:08,  2.09it/s, loss=0.0388, rank=0.0205, reg=0.0183]
train epoch 1/1:  87%|████████▋ | 9397/10792 [1:03:34<11:08,  2.09it/s, loss=0.0669, rank=0.0225, reg=0.0444]
train epoch 1/1:  87%|████████▋ | 9398/10792 [1:03:34<09:05,  2.56it/s, loss=0.0669, rank=0.0225, reg=0.0444]
train epoch 1/1:  87%|████████▋ | 9398/10792 [1:03:34<09:05,  2.56it/s, loss=0.0449, rank=0.0149, reg=0.0300]
train epoch 1/1:  87%|████████▋ | 9399/10792 [1:03:34<07:49,  2.97it/s, loss=0.0449, rank=0.0149, reg=0.0300]
train epoch 1/1:  87%|████████▋ | 9399/10792 [1:03:34<07:49,  2.97it/s, loss=0.0757, rank=0.0111, reg=0.0646]
train epoch 1/1:  87%|████████▋ | 9400/10792 [1:03:34<08:06,  2.86it/s, loss=0.0757, rank=0.0111, reg=0.0646]
train epoch 1/1:  87%|████████▋ | 9400/10792 [1:03:35<08:06,  2.86it/s, loss=0.1095, rank=0.0838, reg=0.0257]
train epoch 1/1:  87%|████████▋ | 9401/10792 [1:03:35<07:05,  3.27it/s, loss=0.1095, rank=0.0838, reg=0.0257]
train epoch 1/1:  87%|████████▋ | 9401/10792 [1:03:35<07:05,  3.27it/s, loss=0.0596, rank=0.0446, reg=0.0150]
train epoch 1/1:  87%|████████▋ | 9402/10792 [1:03:35<08:36,  2.69it/s, loss=0.0596, rank=0.0446, reg=0.0150]
train epoch 1/1:  87%|████████▋ | 9402/10792 [1:03:35<08:36,  2.69it/s, loss=0.1163, rank=0.0566, reg=0.0598]
train epoch 1/1:  87%|████████▋ | 9403/10792 [1:03:35<08:14,  2.81it/s, loss=0.1163, rank=0.0566, reg=0.0598]
train epoch 1/1:  87%|████████▋ | 9403/10792 [1:03:36<08:14,  2.81it/s, loss=0.1289, rank=0.0556, reg=0.0733]
train epoch 1/1:  87%|████████▋ | 9404/10792 [1:03:36<07:10,  3.23it/s, loss=0.1289, rank=0.0556, reg=0.0733]
train epoch 1/1:  87%|████████▋ | 9404/10792 [1:03:36<07:10,  3.23it/s, loss=0.1157, rank=0.0541, reg=0.0616]
train epoch 1/1:  87%|████████▋ | 9405/10792 [1:03:36<08:25,  2.75it/s, loss=0.1157, rank=0.0541, reg=0.0616]
train epoch 1/1:  87%|████████▋ | 9405/10792 [1:03:36<08:25,  2.75it/s, loss=0.1283, rank=0.1121, reg=0.0161]
train epoch 1/1:  87%|████████▋ | 9406/10792 [1:03:36<07:03,  3.27it/s, loss=0.1283, rank=0.1121, reg=0.0161]
train epoch 1/1:  87%|████████▋ | 9406/10792 [1:03:36<07:03,  3.27it/s, loss=0.1151, rank=0.0663, reg=0.0488]
train epoch 1/1:  87%|████████▋ | 9407/10792 [1:03:36<06:19,  3.64it/s, loss=0.1151, rank=0.0663, reg=0.0488]
train epoch 1/1:  87%|████████▋ | 9407/10792 [1:03:37<06:19,  3.64it/s, loss=0.0660, rank=0.0340, reg=0.0320]
train epoch 1/1:  87%|████████▋ | 9408/10792 [1:03:37<10:25,  2.21it/s, loss=0.0660, rank=0.0340, reg=0.0320]
train epoch 1/1:  87%|████████▋ | 9408/10792 [1:03:37<10:25,  2.21it/s, loss=0.0795, rank=0.0486, reg=0.0309]
train epoch 1/1:  87%|████████▋ | 9409/10792 [1:03:37<08:08,  2.83it/s, loss=0.0795, rank=0.0486, reg=0.0309]
train epoch 1/1:  87%|████████▋ | 9409/10792 [1:03:38<08:08,  2.83it/s, loss=0.0926, rank=0.0603, reg=0.0324]
train epoch 1/1:  87%|████████▋ | 9410/10792 [1:03:38<07:16,  3.17it/s, loss=0.0926, rank=0.0603, reg=0.0324]
train epoch 1/1:  87%|████████▋ | 9410/10792 [1:03:38<07:16,  3.17it/s, loss=0.1019, rank=0.0507, reg=0.0512]
train epoch 1/1:  87%|████████▋ | 9411/10792 [1:03:38<10:03,  2.29it/s, loss=0.1019, rank=0.0507, reg=0.0512]
train epoch 1/1:  87%|████████▋ | 9411/10792 [1:03:39<10:03,  2.29it/s, loss=0.0547, rank=0.0170, reg=0.0378]
train epoch 1/1:  87%|████████▋ | 9412/10792 [1:03:39<09:13,  2.49it/s, loss=0.0547, rank=0.0170, reg=0.0378]
train epoch 1/1:  87%|████████▋ | 9412/10792 [1:03:39<09:13,  2.49it/s, loss=0.1179, rank=0.0396, reg=0.0783]
train epoch 1/1:  87%|████████▋ | 9413/10792 [1:03:39<11:34,  1.99it/s, loss=0.1179, rank=0.0396, reg=0.0783]
train epoch 1/1:  87%|████████▋ | 9413/10792 [1:03:40<11:34,  1.99it/s, loss=0.0456, rank=0.0261, reg=0.0195]
train epoch 1/1:  87%|████████▋ | 9414/10792 [1:03:40<12:56,  1.78it/s, loss=0.0456, rank=0.0261, reg=0.0195]
train epoch 1/1:  87%|████████▋ | 9414/10792 [1:03:41<12:56,  1.78it/s, loss=0.0330, rank=0.0000, reg=0.0330]
train epoch 1/1:  87%|████████▋ | 9415/10792 [1:03:41<13:18,  1.72it/s, loss=0.0330, rank=0.0000, reg=0.0330]
train epoch 1/1:  87%|████████▋ | 9415/10792 [1:03:41<13:18,  1.72it/s, loss=0.1205, rank=0.0398, reg=0.0807]
train epoch 1/1:  87%|████████▋ | 9416/10792 [1:03:41<12:30,  1.83it/s, loss=0.1205, rank=0.0398, reg=0.0807]
train epoch 1/1:  87%|████████▋ | 9416/10792 [1:03:41<12:30,  1.83it/s, loss=0.0691, rank=0.0484, reg=0.0207]
train epoch 1/1:  87%|████████▋ | 9417/10792 [1:03:41<10:08,  2.26it/s, loss=0.0691, rank=0.0484, reg=0.0207]
train epoch 1/1:  87%|████████▋ | 9417/10792 [1:03:42<10:08,  2.26it/s, loss=0.0482, rank=0.0292, reg=0.0189]
train epoch 1/1:  87%|████████▋ | 9418/10792 [1:03:42<08:37,  2.66it/s, loss=0.0482, rank=0.0292, reg=0.0189]
train epoch 1/1:  87%|████████▋ | 9418/10792 [1:03:42<08:37,  2.66it/s, loss=0.0852, rank=0.0675, reg=0.0177]
train epoch 1/1:  87%|████████▋ | 9419/10792 [1:03:42<07:34,  3.02it/s, loss=0.0852, rank=0.0675, reg=0.0177]
train epoch 1/1:  87%|████████▋ | 9419/10792 [1:03:42<07:34,  3.02it/s, loss=0.0635, rank=0.0125, reg=0.0510]
train epoch 1/1:  87%|████████▋ | 9420/10792 [1:03:42<06:44,  3.39it/s, loss=0.0635, rank=0.0125, reg=0.0510]
train epoch 1/1:  87%|████████▋ | 9420/10792 [1:03:42<06:44,  3.39it/s, loss=0.0175, rank=0.0008, reg=0.0167]
train epoch 1/1:  87%|████████▋ | 9421/10792 [1:03:42<05:59,  3.81it/s, loss=0.0175, rank=0.0008, reg=0.0167]
train epoch 1/1:  87%|████████▋ | 9421/10792 [1:03:42<05:59,  3.81it/s, loss=0.1008, rank=0.0733, reg=0.0276]
train epoch 1/1:  87%|████████▋ | 9422/10792 [1:03:42<05:29,  4.16it/s, loss=0.1008, rank=0.0733, reg=0.0276]
train epoch 1/1:  87%|████████▋ | 9422/10792 [1:03:43<05:29,  4.16it/s, loss=0.0776, rank=0.0764, reg=0.0012]
train epoch 1/1:  87%|████████▋ | 9423/10792 [1:03:43<06:17,  3.63it/s, loss=0.0776, rank=0.0764, reg=0.0012]
train epoch 1/1:  87%|████████▋ | 9423/10792 [1:03:43<06:17,  3.63it/s, loss=0.1565, rank=0.0294, reg=0.1271]
train epoch 1/1:  87%|████████▋ | 9424/10792 [1:03:43<05:59,  3.80it/s, loss=0.1565, rank=0.0294, reg=0.1271]
train epoch 1/1:  87%|████████▋ | 9424/10792 [1:03:43<05:59,  3.80it/s, loss=0.0950, rank=0.0424, reg=0.0527]
train epoch 1/1:  87%|████████▋ | 9425/10792 [1:03:43<06:08,  3.71it/s, loss=0.0950, rank=0.0424, reg=0.0527]
train epoch 1/1:  87%|████████▋ | 9425/10792 [1:03:44<06:08,  3.71it/s, loss=0.0650, rank=0.0000, reg=0.0650]
train epoch 1/1:  87%|████████▋ | 9426/10792 [1:03:44<05:55,  3.84it/s, loss=0.0650, rank=0.0000, reg=0.0650]
train epoch 1/1:  87%|████████▋ | 9426/10792 [1:03:44<05:55,  3.84it/s, loss=0.0973, rank=0.0556, reg=0.0417]
train epoch 1/1:  87%|████████▋ | 9427/10792 [1:03:44<05:46,  3.93it/s, loss=0.0973, rank=0.0556, reg=0.0417]
train epoch 1/1:  87%|████████▋ | 9427/10792 [1:03:44<05:46,  3.93it/s, loss=0.0307, rank=0.0043, reg=0.0264]
train epoch 1/1:  87%|████████▋ | 9428/10792 [1:03:44<06:07,  3.71it/s, loss=0.0307, rank=0.0043, reg=0.0264]
train epoch 1/1:  87%|████████▋ | 9428/10792 [1:03:44<06:07,  3.71it/s, loss=0.0939, rank=0.0822, reg=0.0117]
train epoch 1/1:  87%|████████▋ | 9429/10792 [1:03:44<05:17,  4.30it/s, loss=0.0939, rank=0.0822, reg=0.0117]
train epoch 1/1:  87%|████████▋ | 9429/10792 [1:03:45<05:17,  4.30it/s, loss=0.1620, rank=0.1004, reg=0.0616]
train epoch 1/1:  87%|████████▋ | 9430/10792 [1:03:45<06:47,  3.34it/s, loss=0.1620, rank=0.1004, reg=0.0616]
train epoch 1/1:  87%|████████▋ | 9430/10792 [1:03:45<06:47,  3.34it/s, loss=0.0534, rank=0.0445, reg=0.0089]
train epoch 1/1:  87%|████████▋ | 9431/10792 [1:03:45<08:38,  2.62it/s, loss=0.0534, rank=0.0445, reg=0.0089]
train epoch 1/1:  87%|████████▋ | 9431/10792 [1:03:45<08:38,  2.62it/s, loss=0.0916, rank=0.0508, reg=0.0408]
train epoch 1/1:  87%|████████▋ | 9432/10792 [1:03:45<07:30,  3.02it/s, loss=0.0916, rank=0.0508, reg=0.0408]
train epoch 1/1:  87%|████████▋ | 9432/10792 [1:03:46<07:30,  3.02it/s, loss=0.0741, rank=0.0177, reg=0.0564]
train epoch 1/1:  87%|████████▋ | 9433/10792 [1:03:46<06:55,  3.27it/s, loss=0.0741, rank=0.0177, reg=0.0564]
train epoch 1/1:  87%|████████▋ | 9433/10792 [1:03:47<06:55,  3.27it/s, loss=0.1245, rank=0.0126, reg=0.1120]
train epoch 1/1:  87%|████████▋ | 9434/10792 [1:03:47<10:33,  2.14it/s, loss=0.1245, rank=0.0126, reg=0.1120]
train epoch 1/1:  87%|████████▋ | 9434/10792 [1:03:47<10:33,  2.14it/s, loss=0.0790, rank=0.0427, reg=0.0362]
train epoch 1/1:  87%|████████▋ | 9435/10792 [1:03:47<09:09,  2.47it/s, loss=0.0790, rank=0.0427, reg=0.0362]
train epoch 1/1:  87%|████████▋ | 9435/10792 [1:03:47<09:09,  2.47it/s, loss=0.0937, rank=0.0883, reg=0.0054]
train epoch 1/1:  87%|████████▋ | 9436/10792 [1:03:47<08:37,  2.62it/s, loss=0.0937, rank=0.0883, reg=0.0054]
train epoch 1/1:  87%|████████▋ | 9436/10792 [1:03:47<08:37,  2.62it/s, loss=0.0792, rank=0.0385, reg=0.0407]
train epoch 1/1:  87%|████████▋ | 9437/10792 [1:03:47<08:03,  2.80it/s, loss=0.0792, rank=0.0385, reg=0.0407]
train epoch 1/1:  87%|████████▋ | 9437/10792 [1:03:48<08:03,  2.80it/s, loss=0.0788, rank=0.0257, reg=0.0531]
train epoch 1/1:  87%|████████▋ | 9438/10792 [1:03:48<09:04,  2.49it/s, loss=0.0788, rank=0.0257, reg=0.0531]
train epoch 1/1:  87%|████████▋ | 9438/10792 [1:03:49<09:04,  2.49it/s, loss=0.0798, rank=0.0456, reg=0.0342]
train epoch 1/1:  87%|████████▋ | 9439/10792 [1:03:49<10:47,  2.09it/s, loss=0.0798, rank=0.0456, reg=0.0342]
train epoch 1/1:  87%|████████▋ | 9439/10792 [1:03:49<10:47,  2.09it/s, loss=0.0434, rank=0.0309, reg=0.0125]
train epoch 1/1:  87%|████████▋ | 9440/10792 [1:03:49<09:44,  2.31it/s, loss=0.0434, rank=0.0309, reg=0.0125]
train epoch 1/1:  87%|████████▋ | 9440/10792 [1:03:49<09:44,  2.31it/s, loss=0.1063, rank=0.0528, reg=0.0535]
train epoch 1/1:  87%|████████▋ | 9441/10792 [1:03:49<08:02,  2.80it/s, loss=0.1063, rank=0.0528, reg=0.0535]
train epoch 1/1:  87%|████████▋ | 9441/10792 [1:03:49<08:02,  2.80it/s, loss=0.1098, rank=0.0346, reg=0.0752]
train epoch 1/1:  87%|████████▋ | 9442/10792 [1:03:49<07:24,  3.04it/s, loss=0.1098, rank=0.0346, reg=0.0752]
train epoch 1/1:  87%|████████▋ | 9442/10792 [1:03:50<07:24,  3.04it/s, loss=0.1832, rank=0.0375, reg=0.1457]
train epoch 1/1:  88%|████████▊ | 9443/10792 [1:03:50<07:16,  3.09it/s, loss=0.1832, rank=0.0375, reg=0.1457]
train epoch 1/1:  88%|████████▊ | 9443/10792 [1:03:50<07:16,  3.09it/s, loss=0.0413, rank=0.0145, reg=0.0268]
train epoch 1/1:  88%|████████▊ | 9444/10792 [1:03:50<07:18,  3.08it/s, loss=0.0413, rank=0.0145, reg=0.0268]
train epoch 1/1:  88%|████████▊ | 9444/10792 [1:03:51<07:18,  3.08it/s, loss=0.0676, rank=0.0388, reg=0.0288]
train epoch 1/1:  88%|████████▊ | 9445/10792 [1:03:51<10:16,  2.19it/s, loss=0.0676, rank=0.0388, reg=0.0288]
train epoch 1/1:  88%|████████▊ | 9445/10792 [1:03:52<10:16,  2.19it/s, loss=0.0650, rank=0.0371, reg=0.0279]
train epoch 1/1:  88%|████████▊ | 9446/10792 [1:03:52<12:18,  1.82it/s, loss=0.0650, rank=0.0371, reg=0.0279]
train epoch 1/1:  88%|████████▊ | 9446/10792 [1:03:53<12:18,  1.82it/s, loss=0.0377, rank=0.0258, reg=0.0120]
train epoch 1/1:  88%|████████▊ | 9447/10792 [1:03:53<15:44,  1.42it/s, loss=0.0377, rank=0.0258, reg=0.0120]
train epoch 1/1:  88%|████████▊ | 9447/10792 [1:03:53<15:44,  1.42it/s, loss=0.0489, rank=0.0233, reg=0.0256]
train epoch 1/1:  88%|████████▊ | 9448/10792 [1:03:53<12:03,  1.86it/s, loss=0.0489, rank=0.0233, reg=0.0256]
train epoch 1/1:  88%|████████▊ | 9448/10792 [1:03:53<12:03,  1.86it/s, loss=0.0556, rank=0.0207, reg=0.0349]
train epoch 1/1:  88%|████████▊ | 9449/10792 [1:03:53<12:12,  1.83it/s, loss=0.0556, rank=0.0207, reg=0.0349]
train epoch 1/1:  88%|████████▊ | 9449/10792 [1:03:54<12:12,  1.83it/s, loss=0.0344, rank=0.0196, reg=0.0147]
train epoch 1/1:  88%|████████▊ | 9450/10792 [1:03:54<12:52,  1.74it/s, loss=0.0344, rank=0.0196, reg=0.0147]
train epoch 1/1:  88%|████████▊ | 9450/10792 [1:03:54<12:52,  1.74it/s, loss=0.0330, rank=0.0000, reg=0.0330]
train epoch 1/1:  88%|████████▊ | 9451/10792 [1:03:54<09:58,  2.24it/s, loss=0.0330, rank=0.0000, reg=0.0330]
train epoch 1/1:  88%|████████▊ | 9451/10792 [1:03:54<09:58,  2.24it/s, loss=0.0332, rank=0.0201, reg=0.0131]
train epoch 1/1:  88%|████████▊ | 9452/10792 [1:03:54<08:22,  2.66it/s, loss=0.0332, rank=0.0201, reg=0.0131]
train epoch 1/1:  88%|████████▊ | 9452/10792 [1:03:55<08:22,  2.66it/s, loss=0.0911, rank=0.0864, reg=0.0047]
train epoch 1/1:  88%|████████▊ | 9453/10792 [1:03:55<09:25,  2.37it/s, loss=0.0911, rank=0.0864, reg=0.0047]
train epoch 1/1:  88%|████████▊ | 9453/10792 [1:03:55<09:25,  2.37it/s, loss=0.0403, rank=0.0254, reg=0.0149]
train epoch 1/1:  88%|████████▊ | 9454/10792 [1:03:55<08:07,  2.75it/s, loss=0.0403, rank=0.0254, reg=0.0149]
train epoch 1/1:  88%|████████▊ | 9454/10792 [1:03:56<08:07,  2.75it/s, loss=0.1533, rank=0.0497, reg=0.1036]
train epoch 1/1:  88%|████████▊ | 9455/10792 [1:03:56<11:41,  1.91it/s, loss=0.1533, rank=0.0497, reg=0.1036]
train epoch 1/1:  88%|████████▊ | 9455/10792 [1:03:56<11:41,  1.91it/s, loss=0.0472, rank=0.0300, reg=0.0172]
train epoch 1/1:  88%|████████▊ | 9456/10792 [1:03:56<09:33,  2.33it/s, loss=0.0472, rank=0.0300, reg=0.0172]
train epoch 1/1:  88%|████████▊ | 9456/10792 [1:03:56<09:33,  2.33it/s, loss=0.0779, rank=0.0506, reg=0.0272]
train epoch 1/1:  88%|████████▊ | 9457/10792 [1:03:56<08:10,  2.72it/s, loss=0.0779, rank=0.0506, reg=0.0272]
train epoch 1/1:  88%|████████▊ | 9457/10792 [1:03:57<08:10,  2.72it/s, loss=0.0687, rank=0.0300, reg=0.0387]
train epoch 1/1:  88%|████████▊ | 9458/10792 [1:03:57<08:07,  2.74it/s, loss=0.0687, rank=0.0300, reg=0.0387]
train epoch 1/1:  88%|████████▊ | 9458/10792 [1:03:57<08:07,  2.74it/s, loss=0.1239, rank=0.0929, reg=0.0310]
train epoch 1/1:  88%|████████▊ | 9459/10792 [1:03:57<07:36,  2.92it/s, loss=0.1239, rank=0.0929, reg=0.0310]
train epoch 1/1:  88%|████████▊ | 9459/10792 [1:03:57<07:36,  2.92it/s, loss=0.0221, rank=0.0125, reg=0.0096]
train epoch 1/1:  88%|████████▊ | 9460/10792 [1:03:57<07:12,  3.08it/s, loss=0.0221, rank=0.0125, reg=0.0096]
train epoch 1/1:  88%|████████▊ | 9460/10792 [1:03:58<07:12,  3.08it/s, loss=0.0498, rank=0.0304, reg=0.0194]
train epoch 1/1:  88%|████████▊ | 9461/10792 [1:03:58<08:42,  2.55it/s, loss=0.0498, rank=0.0304, reg=0.0194]
train epoch 1/1:  88%|████████▊ | 9461/10792 [1:03:58<08:42,  2.55it/s, loss=0.0652, rank=0.0449, reg=0.0203]
train epoch 1/1:  88%|████████▊ | 9462/10792 [1:03:58<07:37,  2.91it/s, loss=0.0652, rank=0.0449, reg=0.0203]
train epoch 1/1:  88%|████████▊ | 9462/10792 [1:03:59<07:37,  2.91it/s, loss=0.4164, rank=0.0644, reg=0.3519]
train epoch 1/1:  88%|████████▊ | 9463/10792 [1:03:59<07:59,  2.77it/s, loss=0.4164, rank=0.0644, reg=0.3519]
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train epoch 1/1:  88%|████████▊ | 9464/10792 [1:03:59<07:17,  3.03it/s, loss=0.1060, rank=0.0322, reg=0.0739]
train epoch 1/1:  88%|████████▊ | 9464/10792 [1:03:59<07:17,  3.03it/s, loss=0.0960, rank=0.0617, reg=0.0344]
train epoch 1/1:  88%|████████▊ | 9465/10792 [1:03:59<06:33,  3.37it/s, loss=0.0960, rank=0.0617, reg=0.0344]
train epoch 1/1:  88%|████████▊ | 9465/10792 [1:03:59<06:33,  3.37it/s, loss=0.0990, rank=0.0301, reg=0.0689]
train epoch 1/1:  88%|████████▊ | 9466/10792 [1:03:59<05:53,  3.75it/s, loss=0.0990, rank=0.0301, reg=0.0689]
train epoch 1/1:  88%|████████▊ | 9466/10792 [1:03:59<05:53,  3.75it/s, loss=0.0449, rank=0.0136, reg=0.0312]
train epoch 1/1:  88%|████████▊ | 9467/10792 [1:03:59<05:40,  3.90it/s, loss=0.0449, rank=0.0136, reg=0.0312]
train epoch 1/1:  88%|████████▊ | 9467/10792 [1:04:00<05:40,  3.90it/s, loss=0.0477, rank=0.0358, reg=0.0119]
train epoch 1/1:  88%|████████▊ | 9468/10792 [1:04:00<08:46,  2.52it/s, loss=0.0477, rank=0.0358, reg=0.0119]
train epoch 1/1:  88%|████████▊ | 9468/10792 [1:04:00<08:46,  2.52it/s, loss=0.0495, rank=0.0186, reg=0.0308]
train epoch 1/1:  88%|████████▊ | 9469/10792 [1:04:00<08:04,  2.73it/s, loss=0.0495, rank=0.0186, reg=0.0308]
train epoch 1/1:  88%|████████▊ | 9469/10792 [1:04:01<08:04,  2.73it/s, loss=0.1530, rank=0.0850, reg=0.0680]
train epoch 1/1:  88%|████████▊ | 9470/10792 [1:04:01<07:36,  2.90it/s, loss=0.1530, rank=0.0850, reg=0.0680]
train epoch 1/1:  88%|████████▊ | 9470/10792 [1:04:01<07:36,  2.90it/s, loss=0.1079, rank=0.0555, reg=0.0524]
train epoch 1/1:  88%|████████▊ | 9471/10792 [1:04:01<06:24,  3.43it/s, loss=0.1079, rank=0.0555, reg=0.0524]
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train epoch 1/1:  88%|████████▊ | 9472/10792 [1:04:02<09:12,  2.39it/s, loss=0.0655, rank=0.0124, reg=0.0530]
train epoch 1/1:  88%|████████▊ | 9472/10792 [1:04:02<09:12,  2.39it/s, loss=0.0540, rank=0.0178, reg=0.0362]
train epoch 1/1:  88%|████████▊ | 9473/10792 [1:04:02<08:19,  2.64it/s, loss=0.0540, rank=0.0178, reg=0.0362]
train epoch 1/1:  88%|████████▊ | 9473/10792 [1:04:02<08:19,  2.64it/s, loss=0.0471, rank=0.0124, reg=0.0347]
train epoch 1/1:  88%|████████▊ | 9474/10792 [1:04:02<06:57,  3.16it/s, loss=0.0471, rank=0.0124, reg=0.0347]
train epoch 1/1:  88%|████████▊ | 9474/10792 [1:04:02<06:57,  3.16it/s, loss=0.0662, rank=0.0392, reg=0.0270]
train epoch 1/1:  88%|████████▊ | 9475/10792 [1:04:02<06:27,  3.40it/s, loss=0.0662, rank=0.0392, reg=0.0270]
train epoch 1/1:  88%|████████▊ | 9475/10792 [1:04:03<06:27,  3.40it/s, loss=0.0557, rank=0.0447, reg=0.0110]
train epoch 1/1:  88%|████████▊ | 9476/10792 [1:04:03<09:23,  2.34it/s, loss=0.0557, rank=0.0447, reg=0.0110]
train epoch 1/1:  88%|████████▊ | 9476/10792 [1:04:03<09:23,  2.34it/s, loss=0.0932, rank=0.0289, reg=0.0644]
train epoch 1/1:  88%|████████▊ | 9477/10792 [1:04:03<08:20,  2.63it/s, loss=0.0932, rank=0.0289, reg=0.0644]
train epoch 1/1:  88%|████████▊ | 9477/10792 [1:04:04<08:20,  2.63it/s, loss=0.1715, rank=0.0278, reg=0.1437]
train epoch 1/1:  88%|████████▊ | 9478/10792 [1:04:04<10:40,  2.05it/s, loss=0.1715, rank=0.0278, reg=0.1437]
train epoch 1/1:  88%|████████▊ | 9478/10792 [1:04:05<10:40,  2.05it/s, loss=0.1173, rank=0.1009, reg=0.0164]
train epoch 1/1:  88%|████████▊ | 9479/10792 [1:04:05<12:37,  1.73it/s, loss=0.1173, rank=0.1009, reg=0.0164]
train epoch 1/1:  88%|████████▊ | 9479/10792 [1:04:05<12:37,  1.73it/s, loss=0.0586, rank=0.0428, reg=0.0157]
train epoch 1/1:  88%|████████▊ | 9480/10792 [1:04:05<11:11,  1.95it/s, loss=0.0586, rank=0.0428, reg=0.0157]
train epoch 1/1:  88%|████████▊ | 9480/10792 [1:04:06<11:11,  1.95it/s, loss=0.0371, rank=0.0171, reg=0.0200]
train epoch 1/1:  88%|████████▊ | 9481/10792 [1:04:06<11:12,  1.95it/s, loss=0.0371, rank=0.0171, reg=0.0200]
train epoch 1/1:  88%|████████▊ | 9481/10792 [1:04:07<11:12,  1.95it/s, loss=0.0599, rank=0.0236, reg=0.0363]
train epoch 1/1:  88%|████████▊ | 9482/10792 [1:04:07<12:44,  1.71it/s, loss=0.0599, rank=0.0236, reg=0.0363]
train epoch 1/1:  88%|████████▊ | 9482/10792 [1:04:07<12:44,  1.71it/s, loss=0.0528, rank=0.0281, reg=0.0247]
train epoch 1/1:  88%|████████▊ | 9483/10792 [1:04:07<13:53,  1.57it/s, loss=0.0528, rank=0.0281, reg=0.0247]
train epoch 1/1:  88%|████████▊ | 9483/10792 [1:04:08<13:53,  1.57it/s, loss=0.0403, rank=0.0331, reg=0.0072]
train epoch 1/1:  88%|████████▊ | 9484/10792 [1:04:08<12:04,  1.80it/s, loss=0.0403, rank=0.0331, reg=0.0072]
train epoch 1/1:  88%|████████▊ | 9484/10792 [1:04:08<12:04,  1.80it/s, loss=0.0405, rank=0.0134, reg=0.0271]
train epoch 1/1:  88%|████████▊ | 9485/10792 [1:04:08<12:28,  1.75it/s, loss=0.0405, rank=0.0134, reg=0.0271]
train epoch 1/1:  88%|████████▊ | 9485/10792 [1:04:09<12:28,  1.75it/s, loss=0.0897, rank=0.0249, reg=0.0648]
train epoch 1/1:  88%|████████▊ | 9486/10792 [1:04:09<10:48,  2.01it/s, loss=0.0897, rank=0.0249, reg=0.0648]
train epoch 1/1:  88%|████████▊ | 9486/10792 [1:04:09<10:48,  2.01it/s, loss=0.0620, rank=0.0422, reg=0.0197]
train epoch 1/1:  88%|████████▊ | 9487/10792 [1:04:09<12:57,  1.68it/s, loss=0.0620, rank=0.0422, reg=0.0197]
train epoch 1/1:  88%|████████▊ | 9487/10792 [1:04:10<12:57,  1.68it/s, loss=0.0979, rank=0.0578, reg=0.0401]
train epoch 1/1:  88%|████████▊ | 9488/10792 [1:04:10<10:40,  2.04it/s, loss=0.0979, rank=0.0578, reg=0.0401]
train epoch 1/1:  88%|████████▊ | 9488/10792 [1:04:10<10:40,  2.04it/s, loss=0.0575, rank=0.0365, reg=0.0211]
train epoch 1/1:  88%|████████▊ | 9489/10792 [1:04:10<10:47,  2.01it/s, loss=0.0575, rank=0.0365, reg=0.0211]
train epoch 1/1:  88%|████████▊ | 9489/10792 [1:04:11<10:47,  2.01it/s, loss=0.0447, rank=0.0357, reg=0.0090]
train epoch 1/1:  88%|████████▊ | 9490/10792 [1:04:11<09:51,  2.20it/s, loss=0.0447, rank=0.0357, reg=0.0090]
train epoch 1/1:  88%|████████▊ | 9490/10792 [1:04:11<09:51,  2.20it/s, loss=0.0161, rank=0.0101, reg=0.0061]
train epoch 1/1:  88%|████████▊ | 9491/10792 [1:04:11<10:04,  2.15it/s, loss=0.0161, rank=0.0101, reg=0.0061]
train epoch 1/1:  88%|████████▊ | 9491/10792 [1:04:11<10:04,  2.15it/s, loss=0.1290, rank=0.0775, reg=0.0516]
train epoch 1/1:  88%|████████▊ | 9492/10792 [1:04:11<08:33,  2.53it/s, loss=0.1290, rank=0.0775, reg=0.0516]
train epoch 1/1:  88%|████████▊ | 9492/10792 [1:04:11<08:33,  2.53it/s, loss=0.0799, rank=0.0493, reg=0.0305]
train epoch 1/1:  88%|████████▊ | 9493/10792 [1:04:11<07:35,  2.85it/s, loss=0.0799, rank=0.0493, reg=0.0305]
train epoch 1/1:  88%|████████▊ | 9493/10792 [1:04:12<07:35,  2.85it/s, loss=0.0896, rank=0.0605, reg=0.0291]
train epoch 1/1:  88%|████████▊ | 9494/10792 [1:04:12<06:45,  3.20it/s, loss=0.0896, rank=0.0605, reg=0.0291]
train epoch 1/1:  88%|████████▊ | 9494/10792 [1:04:12<06:45,  3.20it/s, loss=0.1041, rank=0.0448, reg=0.0594]
train epoch 1/1:  88%|████████▊ | 9495/10792 [1:04:12<06:18,  3.43it/s, loss=0.1041, rank=0.0448, reg=0.0594]
train epoch 1/1:  88%|████████▊ | 9495/10792 [1:04:12<06:18,  3.43it/s, loss=0.1765, rank=0.0985, reg=0.0780]
train epoch 1/1:  88%|████████▊ | 9496/10792 [1:04:12<05:49,  3.71it/s, loss=0.1765, rank=0.0985, reg=0.0780]
train epoch 1/1:  88%|████████▊ | 9496/10792 [1:04:13<05:49,  3.71it/s, loss=0.0702, rank=0.0381, reg=0.0321]
train epoch 1/1:  88%|████████▊ | 9497/10792 [1:04:13<09:40,  2.23it/s, loss=0.0702, rank=0.0381, reg=0.0321]
train epoch 1/1:  88%|████████▊ | 9497/10792 [1:04:13<09:40,  2.23it/s, loss=0.0191, rank=0.0138, reg=0.0053]
train epoch 1/1:  88%|████████▊ | 9498/10792 [1:04:13<08:04,  2.67it/s, loss=0.0191, rank=0.0138, reg=0.0053]
train epoch 1/1:  88%|████████▊ | 9498/10792 [1:04:14<08:04,  2.67it/s, loss=0.1013, rank=0.0628, reg=0.0385]
train epoch 1/1:  88%|████████▊ | 9499/10792 [1:04:14<10:48,  2.00it/s, loss=0.1013, rank=0.0628, reg=0.0385]
train epoch 1/1:  88%|████████▊ | 9499/10792 [1:04:14<10:48,  2.00it/s, loss=0.0547, rank=0.0366, reg=0.0181]
train epoch 1/1:  88%|████████▊ | 9500/10792 [1:04:14<08:52,  2.43it/s, loss=0.0547, rank=0.0366, reg=0.0181]
train epoch 1/1:  88%|████████▊ | 9500/10792 [1:04:14<08:52,  2.43it/s, loss=0.1015, rank=0.0870, reg=0.0145]
train epoch 1/1:  88%|████████▊ | 9501/10792 [1:04:14<07:18,  2.94it/s, loss=0.1015, rank=0.0870, reg=0.0145]
train epoch 1/1:  88%|████████▊ | 9501/10792 [1:04:15<07:18,  2.94it/s, loss=0.0886, rank=0.0430, reg=0.0456]
train epoch 1/1:  88%|████████▊ | 9502/10792 [1:04:15<10:08,  2.12it/s, loss=0.0886, rank=0.0430, reg=0.0456]
train epoch 1/1:  88%|████████▊ | 9502/10792 [1:04:15<10:08,  2.12it/s, loss=0.0868, rank=0.0460, reg=0.0408]
train epoch 1/1:  88%|████████▊ | 9503/10792 [1:04:15<08:01,  2.68it/s, loss=0.0868, rank=0.0460, reg=0.0408]
train epoch 1/1:  88%|████████▊ | 9503/10792 [1:04:16<08:01,  2.68it/s, loss=0.0393, rank=0.0126, reg=0.0267]
train epoch 1/1:  88%|████████▊ | 9504/10792 [1:04:16<08:54,  2.41it/s, loss=0.0393, rank=0.0126, reg=0.0267]
train epoch 1/1:  88%|████████▊ | 9504/10792 [1:04:17<08:54,  2.41it/s, loss=0.1724, rank=0.0389, reg=0.1335]
train epoch 1/1:  88%|████████▊ | 9505/10792 [1:04:17<13:51,  1.55it/s, loss=0.1724, rank=0.0389, reg=0.1335]
train epoch 1/1:  88%|████████▊ | 9505/10792 [1:04:18<13:51,  1.55it/s, loss=0.0545, rank=0.0380, reg=0.0164]
train epoch 1/1:  88%|████████▊ | 9506/10792 [1:04:18<12:53,  1.66it/s, loss=0.0545, rank=0.0380, reg=0.0164]
train epoch 1/1:  88%|████████▊ | 9506/10792 [1:04:18<12:53,  1.66it/s, loss=0.0303, rank=0.0187, reg=0.0116]
train epoch 1/1:  88%|████████▊ | 9507/10792 [1:04:18<13:18,  1.61it/s, loss=0.0303, rank=0.0187, reg=0.0116]
train epoch 1/1:  88%|████████▊ | 9507/10792 [1:04:19<13:18,  1.61it/s, loss=0.0885, rank=0.0466, reg=0.0419]
train epoch 1/1:  88%|████████▊ | 9508/10792 [1:04:19<11:37,  1.84it/s, loss=0.0885, rank=0.0466, reg=0.0419]
train epoch 1/1:  88%|████████▊ | 9508/10792 [1:04:19<11:37,  1.84it/s, loss=0.0870, rank=0.0665, reg=0.0204]
train epoch 1/1:  88%|████████▊ | 9509/10792 [1:04:19<11:29,  1.86it/s, loss=0.0870, rank=0.0665, reg=0.0204]
train epoch 1/1:  88%|████████▊ | 9509/10792 [1:04:19<11:29,  1.86it/s, loss=0.0573, rank=0.0238, reg=0.0336]
train epoch 1/1:  88%|████████▊ | 9510/10792 [1:04:19<09:24,  2.27it/s, loss=0.0573, rank=0.0238, reg=0.0336]
train epoch 1/1:  88%|████████▊ | 9510/10792 [1:04:20<09:24,  2.27it/s, loss=0.1098, rank=0.0534, reg=0.0564]
train epoch 1/1:  88%|████████▊ | 9511/10792 [1:04:20<10:36,  2.01it/s, loss=0.1098, rank=0.0534, reg=0.0564]
train epoch 1/1:  88%|████████▊ | 9511/10792 [1:04:21<10:36,  2.01it/s, loss=0.0623, rank=0.0352, reg=0.0271]
train epoch 1/1:  88%|████████▊ | 9512/10792 [1:04:21<14:29,  1.47it/s, loss=0.0623, rank=0.0352, reg=0.0271]
train epoch 1/1:  88%|████████▊ | 9512/10792 [1:04:21<14:29,  1.47it/s, loss=0.0422, rank=0.0289, reg=0.0133]
train epoch 1/1:  88%|████████▊ | 9513/10792 [1:04:21<11:47,  1.81it/s, loss=0.0422, rank=0.0289, reg=0.0133]
train epoch 1/1:  88%|████████▊ | 9513/10792 [1:04:22<11:47,  1.81it/s, loss=0.0662, rank=0.0324, reg=0.0338]
train epoch 1/1:  88%|████████▊ | 9514/10792 [1:04:22<13:00,  1.64it/s, loss=0.0662, rank=0.0324, reg=0.0338]
train epoch 1/1:  88%|████████▊ | 9514/10792 [1:04:23<13:00,  1.64it/s, loss=0.0638, rank=0.0418, reg=0.0219]
train epoch 1/1:  88%|████████▊ | 9515/10792 [1:04:23<12:13,  1.74it/s, loss=0.0638, rank=0.0418, reg=0.0219]
train epoch 1/1:  88%|████████▊ | 9515/10792 [1:04:23<12:13,  1.74it/s, loss=0.1356, rank=0.0486, reg=0.0870]
train epoch 1/1:  88%|████████▊ | 9516/10792 [1:04:23<11:30,  1.85it/s, loss=0.1356, rank=0.0486, reg=0.0870]
train epoch 1/1:  88%|████████▊ | 9516/10792 [1:04:23<11:30,  1.85it/s, loss=0.0937, rank=0.0485, reg=0.0452]
train epoch 1/1:  88%|████████▊ | 9517/10792 [1:04:23<10:48,  1.96it/s, loss=0.0937, rank=0.0485, reg=0.0452]
train epoch 1/1:  88%|████████▊ | 9517/10792 [1:04:24<10:48,  1.96it/s, loss=0.0407, rank=0.0000, reg=0.0407]
train epoch 1/1:  88%|████████▊ | 9518/10792 [1:04:24<08:37,  2.46it/s, loss=0.0407, rank=0.0000, reg=0.0407]
train epoch 1/1:  88%|████████▊ | 9518/10792 [1:04:24<08:37,  2.46it/s, loss=0.0552, rank=0.0364, reg=0.0188]
train epoch 1/1:  88%|████████▊ | 9519/10792 [1:04:24<07:39,  2.77it/s, loss=0.0552, rank=0.0364, reg=0.0188]
train epoch 1/1:  88%|████████▊ | 9519/10792 [1:04:24<07:39,  2.77it/s, loss=0.0944, rank=0.0681, reg=0.0263]
train epoch 1/1:  88%|████████▊ | 9520/10792 [1:04:24<07:03,  3.01it/s, loss=0.0944, rank=0.0681, reg=0.0263]
train epoch 1/1:  88%|████████▊ | 9520/10792 [1:04:24<07:03,  3.01it/s, loss=0.0721, rank=0.0436, reg=0.0286]
train epoch 1/1:  88%|████████▊ | 9521/10792 [1:04:24<07:08,  2.96it/s, loss=0.0721, rank=0.0436, reg=0.0286]
train epoch 1/1:  88%|████████▊ | 9521/10792 [1:04:25<07:08,  2.96it/s, loss=0.0189, rank=0.0093, reg=0.0096]
train epoch 1/1:  88%|████████▊ | 9522/10792 [1:04:25<06:11,  3.42it/s, loss=0.0189, rank=0.0093, reg=0.0096]
train epoch 1/1:  88%|████████▊ | 9522/10792 [1:04:25<06:11,  3.42it/s, loss=0.0793, rank=0.0089, reg=0.0704]
train epoch 1/1:  88%|████████▊ | 9523/10792 [1:04:25<05:33,  3.81it/s, loss=0.0793, rank=0.0089, reg=0.0704]
train epoch 1/1:  88%|████████▊ | 9523/10792 [1:04:25<05:33,  3.81it/s, loss=0.0690, rank=0.0532, reg=0.0158]
train epoch 1/1:  88%|████████▊ | 9524/10792 [1:04:25<07:46,  2.72it/s, loss=0.0690, rank=0.0532, reg=0.0158]
train epoch 1/1:  88%|████████▊ | 9524/10792 [1:04:26<07:46,  2.72it/s, loss=0.1089, rank=0.0666, reg=0.0423]
train epoch 1/1:  88%|████████▊ | 9525/10792 [1:04:26<08:08,  2.59it/s, loss=0.1089, rank=0.0666, reg=0.0423]
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train epoch 1/1:  88%|████████▊ | 9526/10792 [1:04:26<06:50,  3.08it/s, loss=0.0562, rank=0.0313, reg=0.0249]
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train epoch 1/1:  88%|████████▊ | 9527/10792 [1:04:27<09:47,  2.15it/s, loss=0.0267, rank=0.0124, reg=0.0144]
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train epoch 1/1:  88%|████████▊ | 9528/10792 [1:04:27<08:34,  2.46it/s, loss=0.1187, rank=0.0123, reg=0.1063]
train epoch 1/1:  88%|████████▊ | 9528/10792 [1:04:27<08:34,  2.46it/s, loss=0.1281, rank=0.0373, reg=0.0908]
train epoch 1/1:  88%|████████▊ | 9529/10792 [1:04:27<07:19,  2.87it/s, loss=0.1281, rank=0.0373, reg=0.0908]
train epoch 1/1:  88%|████████▊ | 9529/10792 [1:04:28<07:19,  2.87it/s, loss=0.0481, rank=0.0235, reg=0.0246]
train epoch 1/1:  88%|████████▊ | 9530/10792 [1:04:28<06:26,  3.26it/s, loss=0.0481, rank=0.0235, reg=0.0246]
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train epoch 1/1:  88%|████████▊ | 9531/10792 [1:04:28<06:07,  3.43it/s, loss=0.0604, rank=0.0391, reg=0.0213]
train epoch 1/1:  88%|████████▊ | 9531/10792 [1:04:28<06:07,  3.43it/s, loss=0.0857, rank=0.0614, reg=0.0243]
train epoch 1/1:  88%|████████▊ | 9532/10792 [1:04:28<07:31,  2.79it/s, loss=0.0857, rank=0.0614, reg=0.0243]
train epoch 1/1:  88%|████████▊ | 9532/10792 [1:04:29<07:31,  2.79it/s, loss=0.0847, rank=0.0357, reg=0.0490]
train epoch 1/1:  88%|████████▊ | 9533/10792 [1:04:29<07:21,  2.85it/s, loss=0.0847, rank=0.0357, reg=0.0490]
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train epoch 1/1:  88%|████████▊ | 9534/10792 [1:04:29<08:52,  2.36it/s, loss=0.1235, rank=0.0474, reg=0.0760]
train epoch 1/1:  88%|████████▊ | 9534/10792 [1:04:29<08:52,  2.36it/s, loss=0.0830, rank=0.0477, reg=0.0353]
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train epoch 1/1:  88%|████████▊ | 9535/10792 [1:04:30<07:21,  2.85it/s, loss=0.0733, rank=0.0576, reg=0.0157]
train epoch 1/1:  88%|████████▊ | 9536/10792 [1:04:30<06:06,  3.42it/s, loss=0.0733, rank=0.0576, reg=0.0157]
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train epoch 1/1:  88%|████████▊ | 9537/10792 [1:04:30<09:24,  2.22it/s, loss=0.1499, rank=0.0983, reg=0.0517]
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train epoch 1/1:  88%|████████▊ | 9538/10792 [1:04:31<07:48,  2.68it/s, loss=0.0750, rank=0.0470, reg=0.0280]
train epoch 1/1:  88%|████████▊ | 9538/10792 [1:04:31<07:48,  2.68it/s, loss=0.0788, rank=0.0666, reg=0.0122]
train epoch 1/1:  88%|████████▊ | 9539/10792 [1:04:31<07:30,  2.78it/s, loss=0.0788, rank=0.0666, reg=0.0122]
train epoch 1/1:  88%|████████▊ | 9539/10792 [1:04:31<07:30,  2.78it/s, loss=0.0516, rank=0.0308, reg=0.0209]
train epoch 1/1:  88%|████████▊ | 9540/10792 [1:04:31<06:08,  3.40it/s, loss=0.0516, rank=0.0308, reg=0.0209]
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train epoch 1/1:  88%|████████▊ | 9541/10792 [1:04:32<08:56,  2.33it/s, loss=0.0802, rank=0.0381, reg=0.0421]
train epoch 1/1:  88%|████████▊ | 9541/10792 [1:04:32<08:56,  2.33it/s, loss=0.0755, rank=0.0511, reg=0.0244]
train epoch 1/1:  88%|████████▊ | 9542/10792 [1:04:32<07:21,  2.83it/s, loss=0.0755, rank=0.0511, reg=0.0244]
train epoch 1/1:  88%|████████▊ | 9542/10792 [1:04:32<07:21,  2.83it/s, loss=0.1404, rank=0.0930, reg=0.0474]
train epoch 1/1:  88%|████████▊ | 9543/10792 [1:04:32<06:48,  3.06it/s, loss=0.1404, rank=0.0930, reg=0.0474]
train epoch 1/1:  88%|████████▊ | 9543/10792 [1:04:33<06:48,  3.06it/s, loss=0.1927, rank=0.0862, reg=0.1065]
train epoch 1/1:  88%|████████▊ | 9544/10792 [1:04:33<08:22,  2.48it/s, loss=0.1927, rank=0.0862, reg=0.1065]
train epoch 1/1:  88%|████████▊ | 9544/10792 [1:04:34<08:22,  2.48it/s, loss=0.0583, rank=0.0267, reg=0.0315]
train epoch 1/1:  88%|████████▊ | 9545/10792 [1:04:34<13:37,  1.53it/s, loss=0.0583, rank=0.0267, reg=0.0315]
train epoch 1/1:  88%|████████▊ | 9545/10792 [1:04:34<13:37,  1.53it/s, loss=0.1061, rank=0.0312, reg=0.0749]
train epoch 1/1:  88%|████████▊ | 9546/10792 [1:04:34<10:37,  1.96it/s, loss=0.1061, rank=0.0312, reg=0.0749]
train epoch 1/1:  88%|████████▊ | 9546/10792 [1:04:35<10:37,  1.96it/s, loss=0.0754, rank=0.0242, reg=0.0512]
train epoch 1/1:  88%|████████▊ | 9547/10792 [1:04:35<12:06,  1.71it/s, loss=0.0754, rank=0.0242, reg=0.0512]
train epoch 1/1:  88%|████████▊ | 9547/10792 [1:04:35<12:06,  1.71it/s, loss=0.0981, rank=0.0312, reg=0.0669]
train epoch 1/1:  88%|████████▊ | 9548/10792 [1:04:35<10:31,  1.97it/s, loss=0.0981, rank=0.0312, reg=0.0669]
train epoch 1/1:  88%|████████▊ | 9548/10792 [1:04:36<10:31,  1.97it/s, loss=0.0272, rank=0.0129, reg=0.0143]
train epoch 1/1:  88%|████████▊ | 9549/10792 [1:04:36<10:28,  1.98it/s, loss=0.0272, rank=0.0129, reg=0.0143]
train epoch 1/1:  88%|████████▊ | 9549/10792 [1:04:36<10:28,  1.98it/s, loss=0.0511, rank=0.0203, reg=0.0308]
train epoch 1/1:  88%|████████▊ | 9550/10792 [1:04:36<08:34,  2.41it/s, loss=0.0511, rank=0.0203, reg=0.0308]
train epoch 1/1:  88%|████████▊ | 9550/10792 [1:04:36<08:34,  2.41it/s, loss=0.0766, rank=0.0491, reg=0.0275]
train epoch 1/1:  89%|████████▊ | 9551/10792 [1:04:36<07:54,  2.62it/s, loss=0.0766, rank=0.0491, reg=0.0275]
train epoch 1/1:  89%|████████▊ | 9551/10792 [1:04:37<07:54,  2.62it/s, loss=0.0492, rank=0.0233, reg=0.0259]
train epoch 1/1:  89%|████████▊ | 9552/10792 [1:04:37<09:52,  2.09it/s, loss=0.0492, rank=0.0233, reg=0.0259]
train epoch 1/1:  89%|████████▊ | 9552/10792 [1:04:37<09:52,  2.09it/s, loss=0.0759, rank=0.0403, reg=0.0356]
train epoch 1/1:  89%|████████▊ | 9553/10792 [1:04:37<08:25,  2.45it/s, loss=0.0759, rank=0.0403, reg=0.0356]
train epoch 1/1:  89%|████████▊ | 9553/10792 [1:04:38<08:25,  2.45it/s, loss=0.0857, rank=0.0523, reg=0.0334]
train epoch 1/1:  89%|████████▊ | 9554/10792 [1:04:38<09:59,  2.06it/s, loss=0.0857, rank=0.0523, reg=0.0334]
train epoch 1/1:  89%|████████▊ | 9554/10792 [1:04:38<09:59,  2.06it/s, loss=0.0465, rank=0.0212, reg=0.0253]
train epoch 1/1:  89%|████████▊ | 9555/10792 [1:04:38<09:13,  2.23it/s, loss=0.0465, rank=0.0212, reg=0.0253]
train epoch 1/1:  89%|████████▊ | 9555/10792 [1:04:39<09:13,  2.23it/s, loss=0.1133, rank=0.0645, reg=0.0488]
train epoch 1/1:  89%|████████▊ | 9556/10792 [1:04:39<07:51,  2.62it/s, loss=0.1133, rank=0.0645, reg=0.0488]
train epoch 1/1:  89%|████████▊ | 9556/10792 [1:04:39<07:51,  2.62it/s, loss=0.0437, rank=0.0211, reg=0.0227]
train epoch 1/1:  89%|████████▊ | 9557/10792 [1:04:39<06:47,  3.03it/s, loss=0.0437, rank=0.0211, reg=0.0227]
train epoch 1/1:  89%|████████▊ | 9557/10792 [1:04:39<06:47,  3.03it/s, loss=0.0596, rank=0.0414, reg=0.0182]
train epoch 1/1:  89%|████████▊ | 9558/10792 [1:04:39<06:32,  3.14it/s, loss=0.0596, rank=0.0414, reg=0.0182]
train epoch 1/1:  89%|████████▊ | 9558/10792 [1:04:40<06:32,  3.14it/s, loss=0.0731, rank=0.0180, reg=0.0550]
train epoch 1/1:  89%|████████▊ | 9559/10792 [1:04:40<08:51,  2.32it/s, loss=0.0731, rank=0.0180, reg=0.0550]
train epoch 1/1:  89%|████████▊ | 9559/10792 [1:04:40<08:51,  2.32it/s, loss=0.0744, rank=0.0341, reg=0.0403]
train epoch 1/1:  89%|████████▊ | 9560/10792 [1:04:40<08:12,  2.50it/s, loss=0.0744, rank=0.0341, reg=0.0403]
train epoch 1/1:  89%|████████▊ | 9560/10792 [1:04:40<08:12,  2.50it/s, loss=0.0573, rank=0.0231, reg=0.0342]
train epoch 1/1:  89%|████████▊ | 9561/10792 [1:04:40<07:48,  2.63it/s, loss=0.0573, rank=0.0231, reg=0.0342]
train epoch 1/1:  89%|████████▊ | 9561/10792 [1:04:41<07:48,  2.63it/s, loss=0.0504, rank=0.0414, reg=0.0090]
train epoch 1/1:  89%|████████▊ | 9562/10792 [1:04:41<06:18,  3.25it/s, loss=0.0504, rank=0.0414, reg=0.0090]
train epoch 1/1:  89%|████████▊ | 9562/10792 [1:04:41<06:18,  3.25it/s, loss=0.1001, rank=0.0387, reg=0.0613]
train epoch 1/1:  89%|████████▊ | 9563/10792 [1:04:41<06:46,  3.02it/s, loss=0.1001, rank=0.0387, reg=0.0613]
train epoch 1/1:  89%|████████▊ | 9563/10792 [1:04:42<06:46,  3.02it/s, loss=0.0749, rank=0.0461, reg=0.0288]
train epoch 1/1:  89%|████████▊ | 9564/10792 [1:04:42<12:10,  1.68it/s, loss=0.0749, rank=0.0461, reg=0.0288]
train epoch 1/1:  89%|████████▊ | 9564/10792 [1:04:43<12:10,  1.68it/s, loss=0.0406, rank=0.0031, reg=0.0376]
train epoch 1/1:  89%|████████▊ | 9565/10792 [1:04:43<13:20,  1.53it/s, loss=0.0406, rank=0.0031, reg=0.0376]
train epoch 1/1:  89%|████████▊ | 9565/10792 [1:04:43<13:20,  1.53it/s, loss=0.0789, rank=0.0183, reg=0.0606]
train epoch 1/1:  89%|████████▊ | 9566/10792 [1:04:43<10:23,  1.97it/s, loss=0.0789, rank=0.0183, reg=0.0606]
train epoch 1/1:  89%|████████▊ | 9566/10792 [1:04:44<10:23,  1.97it/s, loss=0.1906, rank=0.0813, reg=0.1093]
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train epoch 1/1:  89%|████████▊ | 9567/10792 [1:04:44<09:55,  2.06it/s, loss=0.0820, rank=0.0275, reg=0.0545]
train epoch 1/1:  89%|████████▊ | 9568/10792 [1:04:44<08:40,  2.35it/s, loss=0.0820, rank=0.0275, reg=0.0545]
train epoch 1/1:  89%|████████▊ | 9568/10792 [1:04:44<08:40,  2.35it/s, loss=0.0643, rank=0.0252, reg=0.0391]
train epoch 1/1:  89%|████████▊ | 9569/10792 [1:04:44<07:19,  2.78it/s, loss=0.0643, rank=0.0252, reg=0.0391]
train epoch 1/1:  89%|████████▊ | 9569/10792 [1:04:45<07:19,  2.78it/s, loss=0.0624, rank=0.0058, reg=0.0566]
train epoch 1/1:  89%|████████▊ | 9570/10792 [1:04:45<10:25,  1.95it/s, loss=0.0624, rank=0.0058, reg=0.0566]
train epoch 1/1:  89%|████████▊ | 9570/10792 [1:04:45<10:25,  1.95it/s, loss=0.0955, rank=0.0270, reg=0.0686]
train epoch 1/1:  89%|████████▊ | 9571/10792 [1:04:45<08:46,  2.32it/s, loss=0.0955, rank=0.0270, reg=0.0686]
train epoch 1/1:  89%|████████▊ | 9571/10792 [1:04:46<08:46,  2.32it/s, loss=0.1138, rank=0.0736, reg=0.0401]
train epoch 1/1:  89%|████████▊ | 9572/10792 [1:04:46<10:56,  1.86it/s, loss=0.1138, rank=0.0736, reg=0.0401]
train epoch 1/1:  89%|████████▊ | 9572/10792 [1:04:46<10:56,  1.86it/s, loss=0.0691, rank=0.0189, reg=0.0502]
train epoch 1/1:  89%|████████▊ | 9573/10792 [1:04:46<10:29,  1.94it/s, loss=0.0691, rank=0.0189, reg=0.0502]
train epoch 1/1:  89%|████████▊ | 9573/10792 [1:04:47<10:29,  1.94it/s, loss=0.0436, rank=0.0211, reg=0.0225]
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train epoch 1/1:  89%|████████▊ | 9574/10792 [1:04:47<10:03,  2.02it/s, loss=0.1138, rank=0.0867, reg=0.0271]
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train epoch 1/1:  89%|████████▊ | 9575/10792 [1:04:47<08:21,  2.43it/s, loss=0.0796, rank=0.0462, reg=0.0333]
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train epoch 1/1:  89%|████████▊ | 9577/10792 [1:04:49<11:11,  1.81it/s, loss=0.2602, rank=0.0436, reg=0.2166]
train epoch 1/1:  89%|████████▉ | 9578/10792 [1:04:49<12:24,  1.63it/s, loss=0.2602, rank=0.0436, reg=0.2166]
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train epoch 1/1:  89%|████████▉ | 9579/10792 [1:04:50<11:14,  1.80it/s, loss=0.0707, rank=0.0359, reg=0.0348]
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train epoch 1/1:  89%|████████▉ | 9585/10792 [1:04:51<04:33,  4.42it/s, loss=0.1173, rank=0.0471, reg=0.0702]
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train epoch 1/1:  89%|████████▉ | 9586/10792 [1:04:52<05:35,  3.59it/s, loss=0.2659, rank=0.0400, reg=0.2260]
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train epoch 1/1:  89%|████████▉ | 9587/10792 [1:04:52<08:35,  2.34it/s, loss=0.0886, rank=0.0582, reg=0.0304]
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train epoch 1/1:  89%|████████▉ | 9589/10792 [1:04:53<09:06,  2.20it/s, loss=0.0519, rank=0.0305, reg=0.0214]
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train epoch 1/1:  89%|████████▉ | 9592/10792 [1:04:54<08:13,  2.43it/s, loss=0.0508, rank=0.0409, reg=0.0099]
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train epoch 1/1:  89%|████████▉ | 9599/10792 [1:04:56<06:19,  3.14it/s, loss=0.0531, rank=0.0261, reg=0.0270]
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train epoch 1/1:  89%|████████▉ | 9601/10792 [1:04:57<05:38,  3.52it/s, loss=0.1214, rank=0.1115, reg=0.0099]
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train epoch 1/1:  89%|████████▉ | 9607/10792 [1:05:01<12:10,  1.62it/s, loss=0.1577, rank=0.0205, reg=0.1372]
train epoch 1/1:  89%|████████▉ | 9608/10792 [1:05:01<11:44,  1.68it/s, loss=0.1577, rank=0.0205, reg=0.1372]
train epoch 1/1:  89%|████████▉ | 9608/10792 [1:05:01<11:44,  1.68it/s, loss=0.0547, rank=0.0316, reg=0.0231]
train epoch 1/1:  89%|████████▉ | 9609/10792 [1:05:01<09:41,  2.03it/s, loss=0.0547, rank=0.0316, reg=0.0231]
train epoch 1/1:  89%|████████▉ | 9609/10792 [1:05:01<09:41,  2.03it/s, loss=0.0773, rank=0.0431, reg=0.0342]
train epoch 1/1:  89%|████████▉ | 9610/10792 [1:05:01<08:20,  2.36it/s, loss=0.0773, rank=0.0431, reg=0.0342]
train epoch 1/1:  89%|████████▉ | 9610/10792 [1:05:02<08:20,  2.36it/s, loss=0.0538, rank=0.0218, reg=0.0320]
train epoch 1/1:  89%|████████▉ | 9611/10792 [1:05:02<09:32,  2.06it/s, loss=0.0538, rank=0.0218, reg=0.0320]
train epoch 1/1:  89%|████████▉ | 9611/10792 [1:05:02<09:32,  2.06it/s, loss=0.0362, rank=0.0169, reg=0.0192]
train epoch 1/1:  89%|████████▉ | 9612/10792 [1:05:02<10:57,  1.80it/s, loss=0.0362, rank=0.0169, reg=0.0192]
train epoch 1/1:  89%|████████▉ | 9612/10792 [1:05:03<10:57,  1.80it/s, loss=0.1352, rank=0.0582, reg=0.0771]
train epoch 1/1:  89%|████████▉ | 9613/10792 [1:05:03<08:47,  2.24it/s, loss=0.1352, rank=0.0582, reg=0.0771]
train epoch 1/1:  89%|████████▉ | 9613/10792 [1:05:03<08:47,  2.24it/s, loss=0.0440, rank=0.0240, reg=0.0200]
train epoch 1/1:  89%|████████▉ | 9614/10792 [1:05:03<06:52,  2.86it/s, loss=0.0440, rank=0.0240, reg=0.0200]
train epoch 1/1:  89%|████████▉ | 9614/10792 [1:05:03<06:52,  2.86it/s, loss=0.0491, rank=0.0000, reg=0.0491]
train epoch 1/1:  89%|████████▉ | 9615/10792 [1:05:03<06:33,  2.99it/s, loss=0.0491, rank=0.0000, reg=0.0491]
train epoch 1/1:  89%|████████▉ | 9615/10792 [1:05:03<06:33,  2.99it/s, loss=0.0349, rank=0.0216, reg=0.0132]
train epoch 1/1:  89%|████████▉ | 9616/10792 [1:05:03<06:17,  3.11it/s, loss=0.0349, rank=0.0216, reg=0.0132]
train epoch 1/1:  89%|████████▉ | 9616/10792 [1:05:04<06:17,  3.11it/s, loss=0.2534, rank=0.0408, reg=0.2126]
train epoch 1/1:  89%|████████▉ | 9617/10792 [1:05:04<05:21,  3.65it/s, loss=0.2534, rank=0.0408, reg=0.2126]
train epoch 1/1:  89%|████████▉ | 9617/10792 [1:05:04<05:21,  3.65it/s, loss=0.1297, rank=0.0739, reg=0.0558]
train epoch 1/1:  89%|████████▉ | 9618/10792 [1:05:04<05:22,  3.64it/s, loss=0.1297, rank=0.0739, reg=0.0558]
train epoch 1/1:  89%|████████▉ | 9618/10792 [1:05:04<05:22,  3.64it/s, loss=0.0667, rank=0.0301, reg=0.0366]
train epoch 1/1:  89%|████████▉ | 9619/10792 [1:05:04<06:49,  2.87it/s, loss=0.0667, rank=0.0301, reg=0.0366]
train epoch 1/1:  89%|████████▉ | 9619/10792 [1:05:05<06:49,  2.87it/s, loss=0.0769, rank=0.0127, reg=0.0642]
train epoch 1/1:  89%|████████▉ | 9620/10792 [1:05:05<06:03,  3.22it/s, loss=0.0769, rank=0.0127, reg=0.0642]
train epoch 1/1:  89%|████████▉ | 9620/10792 [1:05:05<06:03,  3.22it/s, loss=0.0645, rank=0.0387, reg=0.0258]
train epoch 1/1:  89%|████████▉ | 9621/10792 [1:05:05<05:11,  3.76it/s, loss=0.0645, rank=0.0387, reg=0.0258]
train epoch 1/1:  89%|████████▉ | 9621/10792 [1:05:06<05:11,  3.76it/s, loss=0.0559, rank=0.0225, reg=0.0334]
train epoch 1/1:  89%|████████▉ | 9622/10792 [1:05:06<09:15,  2.11it/s, loss=0.0559, rank=0.0225, reg=0.0334]
train epoch 1/1:  89%|████████▉ | 9622/10792 [1:05:06<09:15,  2.11it/s, loss=0.1140, rank=0.0410, reg=0.0730]
train epoch 1/1:  89%|████████▉ | 9623/10792 [1:05:06<09:21,  2.08it/s, loss=0.1140, rank=0.0410, reg=0.0730]
train epoch 1/1:  89%|████████▉ | 9623/10792 [1:05:07<09:21,  2.08it/s, loss=0.1153, rank=0.0240, reg=0.0913]
train epoch 1/1:  89%|████████▉ | 9624/10792 [1:05:07<10:19,  1.89it/s, loss=0.1153, rank=0.0240, reg=0.0913]
train epoch 1/1:  89%|████████▉ | 9624/10792 [1:05:07<10:19,  1.89it/s, loss=0.0827, rank=0.0639, reg=0.0187]
train epoch 1/1:  89%|████████▉ | 9625/10792 [1:05:07<08:37,  2.25it/s, loss=0.0827, rank=0.0639, reg=0.0187]
train epoch 1/1:  89%|████████▉ | 9625/10792 [1:05:07<08:37,  2.25it/s, loss=0.0670, rank=0.0274, reg=0.0397]
train epoch 1/1:  89%|████████▉ | 9626/10792 [1:05:07<07:36,  2.55it/s, loss=0.0670, rank=0.0274, reg=0.0397]
train epoch 1/1:  89%|████████▉ | 9626/10792 [1:05:08<07:36,  2.55it/s, loss=0.2491, rank=0.0429, reg=0.2063]
train epoch 1/1:  89%|████████▉ | 9627/10792 [1:05:08<08:26,  2.30it/s, loss=0.2491, rank=0.0429, reg=0.2063]
train epoch 1/1:  89%|████████▉ | 9627/10792 [1:05:08<08:26,  2.30it/s, loss=0.1100, rank=0.0765, reg=0.0335]
train epoch 1/1:  89%|████████▉ | 9628/10792 [1:05:08<08:52,  2.18it/s, loss=0.1100, rank=0.0765, reg=0.0335]
train epoch 1/1:  89%|████████▉ | 9628/10792 [1:05:09<08:52,  2.18it/s, loss=0.0790, rank=0.0298, reg=0.0492]
train epoch 1/1:  89%|████████▉ | 9629/10792 [1:05:09<07:15,  2.67it/s, loss=0.0790, rank=0.0298, reg=0.0492]
train epoch 1/1:  89%|████████▉ | 9629/10792 [1:05:09<07:15,  2.67it/s, loss=0.1141, rank=0.0096, reg=0.1045]
train epoch 1/1:  89%|████████▉ | 9630/10792 [1:05:09<06:39,  2.91it/s, loss=0.1141, rank=0.0096, reg=0.1045]
train epoch 1/1:  89%|████████▉ | 9630/10792 [1:05:10<06:39,  2.91it/s, loss=0.0596, rank=0.0374, reg=0.0222]
train epoch 1/1:  89%|████████▉ | 9631/10792 [1:05:10<09:06,  2.12it/s, loss=0.0596, rank=0.0374, reg=0.0222]
train epoch 1/1:  89%|████████▉ | 9631/10792 [1:05:10<09:06,  2.12it/s, loss=0.1011, rank=0.0467, reg=0.0543]
train epoch 1/1:  89%|████████▉ | 9632/10792 [1:05:10<07:49,  2.47it/s, loss=0.1011, rank=0.0467, reg=0.0543]
train epoch 1/1:  89%|████████▉ | 9632/10792 [1:05:11<07:49,  2.47it/s, loss=0.1585, rank=0.0668, reg=0.0917]
train epoch 1/1:  89%|████████▉ | 9633/10792 [1:05:11<11:07,  1.74it/s, loss=0.1585, rank=0.0668, reg=0.0917]
train epoch 1/1:  89%|████████▉ | 9633/10792 [1:05:11<11:07,  1.74it/s, loss=0.0584, rank=0.0273, reg=0.0311]
train epoch 1/1:  89%|████████▉ | 9634/10792 [1:05:11<11:44,  1.64it/s, loss=0.0584, rank=0.0273, reg=0.0311]
train epoch 1/1:  89%|████████▉ | 9634/10792 [1:05:12<11:44,  1.64it/s, loss=0.0451, rank=0.0159, reg=0.0292]
train epoch 1/1:  89%|████████▉ | 9635/10792 [1:05:12<10:31,  1.83it/s, loss=0.0451, rank=0.0159, reg=0.0292]
train epoch 1/1:  89%|████████▉ | 9635/10792 [1:05:13<10:31,  1.83it/s, loss=0.1169, rank=0.0514, reg=0.0656]
train epoch 1/1:  89%|████████▉ | 9636/10792 [1:05:13<11:08,  1.73it/s, loss=0.1169, rank=0.0514, reg=0.0656]
train epoch 1/1:  89%|████████▉ | 9636/10792 [1:05:13<11:08,  1.73it/s, loss=0.0745, rank=0.0212, reg=0.0532]
train epoch 1/1:  89%|████████▉ | 9637/10792 [1:05:13<09:40,  1.99it/s, loss=0.0745, rank=0.0212, reg=0.0532]
train epoch 1/1:  89%|████████▉ | 9637/10792 [1:05:13<09:40,  1.99it/s, loss=0.1464, rank=0.0297, reg=0.1167]
train epoch 1/1:  89%|████████▉ | 9638/10792 [1:05:13<08:49,  2.18it/s, loss=0.1464, rank=0.0297, reg=0.1167]
train epoch 1/1:  89%|████████▉ | 9638/10792 [1:05:13<08:49,  2.18it/s, loss=0.1153, rank=0.0645, reg=0.0508]
train epoch 1/1:  89%|████████▉ | 9639/10792 [1:05:13<07:06,  2.70it/s, loss=0.1153, rank=0.0645, reg=0.0508]
train epoch 1/1:  89%|████████▉ | 9639/10792 [1:05:14<07:06,  2.70it/s, loss=0.0955, rank=0.0575, reg=0.0380]
train epoch 1/1:  89%|████████▉ | 9640/10792 [1:05:14<06:43,  2.86it/s, loss=0.0955, rank=0.0575, reg=0.0380]
train epoch 1/1:  89%|████████▉ | 9640/10792 [1:05:14<06:43,  2.86it/s, loss=0.0915, rank=0.0255, reg=0.0660]
train epoch 1/1:  89%|████████▉ | 9641/10792 [1:05:14<05:50,  3.28it/s, loss=0.0915, rank=0.0255, reg=0.0660]
train epoch 1/1:  89%|████████▉ | 9641/10792 [1:05:15<05:50,  3.28it/s, loss=0.0682, rank=0.0304, reg=0.0378]
train epoch 1/1:  89%|████████▉ | 9642/10792 [1:05:15<08:27,  2.27it/s, loss=0.0682, rank=0.0304, reg=0.0378]
train epoch 1/1:  89%|████████▉ | 9642/10792 [1:05:15<08:27,  2.27it/s, loss=0.0851, rank=0.0336, reg=0.0516]
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train epoch 1/1:  89%|████████▉ | 9643/10792 [1:05:16<09:28,  2.02it/s, loss=0.0749, rank=0.0405, reg=0.0344]
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train epoch 1/1:  89%|████████▉ | 9644/10792 [1:05:16<11:06,  1.72it/s, loss=0.0601, rank=0.0355, reg=0.0246]
train epoch 1/1:  89%|████████▉ | 9645/10792 [1:05:16<09:01,  2.12it/s, loss=0.0601, rank=0.0355, reg=0.0246]
train epoch 1/1:  89%|████████▉ | 9645/10792 [1:05:17<09:01,  2.12it/s, loss=0.0706, rank=0.0329, reg=0.0376]
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train epoch 1/1:  89%|████████▉ | 9647/10792 [1:05:17<08:37,  2.21it/s, loss=0.0798, rank=0.0255, reg=0.0542]
train epoch 1/1:  89%|████████▉ | 9647/10792 [1:05:17<08:37,  2.21it/s, loss=0.0290, rank=0.0116, reg=0.0174]
train epoch 1/1:  89%|████████▉ | 9648/10792 [1:05:17<08:04,  2.36it/s, loss=0.0290, rank=0.0116, reg=0.0174]
train epoch 1/1:  89%|████████▉ | 9648/10792 [1:05:18<08:04,  2.36it/s, loss=0.0743, rank=0.0485, reg=0.0257]
train epoch 1/1:  89%|████████▉ | 9649/10792 [1:05:18<06:47,  2.80it/s, loss=0.0743, rank=0.0485, reg=0.0257]
train epoch 1/1:  89%|████████▉ | 9649/10792 [1:05:18<06:47,  2.80it/s, loss=0.0478, rank=0.0221, reg=0.0258]
train epoch 1/1:  89%|████████▉ | 9650/10792 [1:05:18<06:21,  2.99it/s, loss=0.0478, rank=0.0221, reg=0.0258]
train epoch 1/1:  89%|████████▉ | 9650/10792 [1:05:18<06:21,  2.99it/s, loss=0.0738, rank=0.0357, reg=0.0381]
train epoch 1/1:  89%|████████▉ | 9651/10792 [1:05:18<07:01,  2.71it/s, loss=0.0738, rank=0.0357, reg=0.0381]
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train epoch 1/1:  89%|████████▉ | 9652/10792 [1:05:19<06:14,  3.05it/s, loss=0.1083, rank=0.0504, reg=0.0578]
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train epoch 1/1:  89%|████████▉ | 9654/10792 [1:05:20<07:54,  2.40it/s, loss=0.0964, rank=0.0922, reg=0.0042]
train epoch 1/1:  89%|████████▉ | 9654/10792 [1:05:21<07:54,  2.40it/s, loss=0.0446, rank=0.0088, reg=0.0358]
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train epoch 1/1:  89%|████████▉ | 9656/10792 [1:05:21<09:49,  1.93it/s, loss=0.1112, rank=0.0690, reg=0.0422]
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train epoch 1/1:  89%|████████▉ | 9657/10792 [1:05:21<08:32,  2.21it/s, loss=0.0757, rank=0.0476, reg=0.0282]
train epoch 1/1:  89%|████████▉ | 9657/10792 [1:05:22<08:32,  2.21it/s, loss=0.1436, rank=0.0739, reg=0.0697]
train epoch 1/1:  89%|████████▉ | 9658/10792 [1:05:22<07:29,  2.52it/s, loss=0.1436, rank=0.0739, reg=0.0697]
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train epoch 1/1:  90%|████████▉ | 9661/10792 [1:05:23<05:35,  3.37it/s, loss=0.1010, rank=0.0584, reg=0.0426]
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train epoch 1/1:  90%|████████▉ | 9665/10792 [1:05:23<04:39,  4.04it/s, loss=0.0406, rank=0.0123, reg=0.0284]
train epoch 1/1:  90%|████████▉ | 9665/10792 [1:05:24<04:39,  4.04it/s, loss=0.0820, rank=0.0686, reg=0.0133]
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train epoch 1/1:  90%|████████▉ | 9669/10792 [1:05:25<05:02,  3.72it/s, loss=0.1917, rank=0.0982, reg=0.0935]
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train epoch 1/1:  90%|████████▉ | 9671/10792 [1:05:25<04:29,  4.15it/s, loss=0.0483, rank=0.0342, reg=0.0141]
train epoch 1/1:  90%|████████▉ | 9672/10792 [1:05:25<03:51,  4.85it/s, loss=0.0483, rank=0.0342, reg=0.0141]
train epoch 1/1:  90%|████████▉ | 9672/10792 [1:05:25<03:51,  4.85it/s, loss=0.0704, rank=0.0447, reg=0.0257]
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train epoch 1/1:  90%|████████▉ | 9673/10792 [1:05:25<03:47,  4.91it/s, loss=0.0828, rank=0.0370, reg=0.0459]
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train epoch 1/1:  90%|████████▉ | 9674/10792 [1:05:26<04:12,  4.43it/s, loss=0.0988, rank=0.0548, reg=0.0440]
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train epoch 1/1:  90%|████████▉ | 9675/10792 [1:05:27<07:28,  2.49it/s, loss=0.1138, rank=0.0865, reg=0.0273]
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train epoch 1/1:  90%|████████▉ | 9679/10792 [1:05:28<06:51,  2.71it/s, loss=0.0515, rank=0.0303, reg=0.0211]
train epoch 1/1:  90%|████████▉ | 9680/10792 [1:05:28<07:12,  2.57it/s, loss=0.0515, rank=0.0303, reg=0.0211]
train epoch 1/1:  90%|████████▉ | 9680/10792 [1:05:28<07:12,  2.57it/s, loss=0.0892, rank=0.0512, reg=0.0380]
train epoch 1/1:  90%|████████▉ | 9681/10792 [1:05:28<06:41,  2.77it/s, loss=0.0892, rank=0.0512, reg=0.0380]
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train epoch 1/1:  90%|████████▉ | 9682/10792 [1:05:29<05:52,  3.15it/s, loss=0.0489, rank=0.0347, reg=0.0142]
train epoch 1/1:  90%|████████▉ | 9682/10792 [1:05:30<05:52,  3.15it/s, loss=0.0953, rank=0.0558, reg=0.0396]
train epoch 1/1:  90%|████████▉ | 9683/10792 [1:05:30<09:36,  1.92it/s, loss=0.0953, rank=0.0558, reg=0.0396]
train epoch 1/1:  90%|████████▉ | 9683/10792 [1:05:30<09:36,  1.92it/s, loss=0.0546, rank=0.0398, reg=0.0148]
train epoch 1/1:  90%|████████▉ | 9684/10792 [1:05:30<08:18,  2.22it/s, loss=0.0546, rank=0.0398, reg=0.0148]
train epoch 1/1:  90%|████████▉ | 9684/10792 [1:05:31<08:18,  2.22it/s, loss=0.1066, rank=0.0556, reg=0.0510]
train epoch 1/1:  90%|████████▉ | 9685/10792 [1:05:31<12:06,  1.52it/s, loss=0.1066, rank=0.0556, reg=0.0510]
train epoch 1/1:  90%|████████▉ | 9685/10792 [1:05:31<12:06,  1.52it/s, loss=0.0799, rank=0.0703, reg=0.0096]
train epoch 1/1:  90%|████████▉ | 9686/10792 [1:05:31<10:32,  1.75it/s, loss=0.0799, rank=0.0703, reg=0.0096]
train epoch 1/1:  90%|████████▉ | 9686/10792 [1:05:32<10:32,  1.75it/s, loss=0.0521, rank=0.0205, reg=0.0316]
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train epoch 1/1:  90%|████████▉ | 9687/10792 [1:05:32<09:42,  1.90it/s, loss=0.0543, rank=0.0493, reg=0.0050]
train epoch 1/1:  90%|████████▉ | 9688/10792 [1:05:32<08:39,  2.13it/s, loss=0.0543, rank=0.0493, reg=0.0050]
train epoch 1/1:  90%|████████▉ | 9688/10792 [1:05:32<08:39,  2.13it/s, loss=0.0874, rank=0.0652, reg=0.0222]
train epoch 1/1:  90%|████████▉ | 9689/10792 [1:05:32<07:03,  2.60it/s, loss=0.0874, rank=0.0652, reg=0.0222]
train epoch 1/1:  90%|████████▉ | 9689/10792 [1:05:33<07:03,  2.60it/s, loss=0.0662, rank=0.0312, reg=0.0350]
train epoch 1/1:  90%|████████▉ | 9690/10792 [1:05:33<07:09,  2.57it/s, loss=0.0662, rank=0.0312, reg=0.0350]
train epoch 1/1:  90%|████████▉ | 9690/10792 [1:05:34<07:09,  2.57it/s, loss=0.0542, rank=0.0475, reg=0.0067]
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train epoch 1/1:  90%|████████▉ | 9691/10792 [1:05:34<08:55,  2.06it/s, loss=0.1498, rank=0.0607, reg=0.0891]
train epoch 1/1:  90%|████████▉ | 9692/10792 [1:05:34<09:46,  1.88it/s, loss=0.1498, rank=0.0607, reg=0.0891]
train epoch 1/1:  90%|████████▉ | 9692/10792 [1:05:35<09:46,  1.88it/s, loss=0.1003, rank=0.0524, reg=0.0480]
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train epoch 1/1:  90%|████████▉ | 9693/10792 [1:05:35<11:40,  1.57it/s, loss=0.0624, rank=0.0404, reg=0.0220]
train epoch 1/1:  90%|████████▉ | 9694/10792 [1:05:35<09:28,  1.93it/s, loss=0.0624, rank=0.0404, reg=0.0220]
train epoch 1/1:  90%|████████▉ | 9694/10792 [1:05:36<09:28,  1.93it/s, loss=0.0479, rank=0.0148, reg=0.0331]
train epoch 1/1:  90%|████████▉ | 9695/10792 [1:05:36<08:23,  2.18it/s, loss=0.0479, rank=0.0148, reg=0.0331]
train epoch 1/1:  90%|████████▉ | 9695/10792 [1:05:36<08:23,  2.18it/s, loss=0.0652, rank=0.0327, reg=0.0325]
train epoch 1/1:  90%|████████▉ | 9696/10792 [1:05:36<07:43,  2.36it/s, loss=0.0652, rank=0.0327, reg=0.0325]
train epoch 1/1:  90%|████████▉ | 9696/10792 [1:05:36<07:43,  2.36it/s, loss=0.0947, rank=0.0565, reg=0.0382]
train epoch 1/1:  90%|████████▉ | 9697/10792 [1:05:36<06:46,  2.69it/s, loss=0.0947, rank=0.0565, reg=0.0382]
train epoch 1/1:  90%|████████▉ | 9697/10792 [1:05:37<06:46,  2.69it/s, loss=0.1301, rank=0.0666, reg=0.0635]
train epoch 1/1:  90%|████████▉ | 9698/10792 [1:05:37<08:33,  2.13it/s, loss=0.1301, rank=0.0666, reg=0.0635]
train epoch 1/1:  90%|████████▉ | 9698/10792 [1:05:38<08:33,  2.13it/s, loss=0.0470, rank=0.0244, reg=0.0227]
train epoch 1/1:  90%|████████▉ | 9699/10792 [1:05:38<09:32,  1.91it/s, loss=0.0470, rank=0.0244, reg=0.0227]
train epoch 1/1:  90%|████████▉ | 9699/10792 [1:05:38<09:32,  1.91it/s, loss=0.0733, rank=0.0278, reg=0.0455]
train epoch 1/1:  90%|████████▉ | 9700/10792 [1:05:38<08:02,  2.26it/s, loss=0.0733, rank=0.0278, reg=0.0455]
train epoch 1/1:  90%|████████▉ | 9700/10792 [1:05:38<08:02,  2.26it/s, loss=0.0694, rank=0.0324, reg=0.0370]
train epoch 1/1:  90%|████████▉ | 9701/10792 [1:05:38<06:27,  2.82it/s, loss=0.0694, rank=0.0324, reg=0.0370]
train epoch 1/1:  90%|████████▉ | 9701/10792 [1:05:38<06:27,  2.82it/s, loss=0.0652, rank=0.0505, reg=0.0147]
train epoch 1/1:  90%|████████▉ | 9702/10792 [1:05:38<07:09,  2.54it/s, loss=0.0652, rank=0.0505, reg=0.0147]
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train epoch 1/1:  90%|████████▉ | 9703/10792 [1:05:39<06:36,  2.75it/s, loss=0.0495, rank=0.0248, reg=0.0247]
train epoch 1/1:  90%|████████▉ | 9703/10792 [1:05:39<06:36,  2.75it/s, loss=0.0936, rank=0.0490, reg=0.0446]
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train epoch 1/1:  90%|████████▉ | 9704/10792 [1:05:40<07:47,  2.33it/s, loss=0.0975, rank=0.0712, reg=0.0263]
train epoch 1/1:  90%|████████▉ | 9705/10792 [1:05:40<06:47,  2.66it/s, loss=0.0975, rank=0.0712, reg=0.0263]
train epoch 1/1:  90%|████████▉ | 9705/10792 [1:05:40<06:47,  2.66it/s, loss=0.0802, rank=0.0546, reg=0.0256]
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train epoch 1/1:  90%|████████▉ | 9706/10792 [1:05:40<06:04,  2.98it/s, loss=0.0792, rank=0.0577, reg=0.0215]
train epoch 1/1:  90%|████████▉ | 9707/10792 [1:05:40<05:40,  3.19it/s, loss=0.0792, rank=0.0577, reg=0.0215]
train epoch 1/1:  90%|████████▉ | 9707/10792 [1:05:40<05:40,  3.19it/s, loss=0.0761, rank=0.0044, reg=0.0717]
train epoch 1/1:  90%|████████▉ | 9708/10792 [1:05:40<04:59,  3.62it/s, loss=0.0761, rank=0.0044, reg=0.0717]
train epoch 1/1:  90%|████████▉ | 9708/10792 [1:05:41<04:59,  3.62it/s, loss=0.1086, rank=0.0394, reg=0.0692]
train epoch 1/1:  90%|████████▉ | 9709/10792 [1:05:41<05:37,  3.21it/s, loss=0.1086, rank=0.0394, reg=0.0692]
train epoch 1/1:  90%|████████▉ | 9709/10792 [1:05:41<05:37,  3.21it/s, loss=0.0657, rank=0.0393, reg=0.0264]
train epoch 1/1:  90%|████████▉ | 9710/10792 [1:05:41<04:46,  3.78it/s, loss=0.0657, rank=0.0393, reg=0.0264]
train epoch 1/1:  90%|████████▉ | 9710/10792 [1:05:41<04:46,  3.78it/s, loss=0.0380, rank=0.0258, reg=0.0122]
train epoch 1/1:  90%|████████▉ | 9711/10792 [1:05:41<05:03,  3.56it/s, loss=0.0380, rank=0.0258, reg=0.0122]
train epoch 1/1:  90%|████████▉ | 9711/10792 [1:05:41<05:03,  3.56it/s, loss=0.0603, rank=0.0288, reg=0.0315]
train epoch 1/1:  90%|████████▉ | 9712/10792 [1:05:41<05:24,  3.33it/s, loss=0.0603, rank=0.0288, reg=0.0315]
train epoch 1/1:  90%|████████▉ | 9712/10792 [1:05:42<05:24,  3.33it/s, loss=0.0695, rank=0.0604, reg=0.0091]
train epoch 1/1:  90%|█████████ | 9713/10792 [1:05:42<05:02,  3.57it/s, loss=0.0695, rank=0.0604, reg=0.0091]
train epoch 1/1:  90%|█████████ | 9713/10792 [1:05:42<05:02,  3.57it/s, loss=0.0936, rank=0.0698, reg=0.0238]
train epoch 1/1:  90%|█████████ | 9714/10792 [1:05:42<05:11,  3.46it/s, loss=0.0936, rank=0.0698, reg=0.0238]
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train epoch 1/1:  90%|█████████ | 9715/10792 [1:05:42<05:07,  3.50it/s, loss=0.1532, rank=0.1133, reg=0.0399]
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train epoch 1/1:  90%|█████████ | 9747/10792 [1:05:57<07:59,  2.18it/s, loss=0.1021, rank=0.0345, reg=0.0676]
train epoch 1/1:  90%|█████████ | 9747/10792 [1:05:57<07:59,  2.18it/s, loss=0.2992, rank=0.0567, reg=0.2425]
train epoch 1/1:  90%|█████████ | 9748/10792 [1:05:57<09:29,  1.83it/s, loss=0.2992, rank=0.0567, reg=0.2425]
train epoch 1/1:  90%|█████████ | 9748/10792 [1:05:58<09:29,  1.83it/s, loss=0.0891, rank=0.0796, reg=0.0095]
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train epoch 1/1:  90%|█████████ | 9749/10792 [1:05:59<09:57,  1.74it/s, loss=0.1170, rank=0.0569, reg=0.0601]
train epoch 1/1:  90%|█████████ | 9750/10792 [1:05:59<10:29,  1.65it/s, loss=0.1170, rank=0.0569, reg=0.0601]
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train epoch 1/1:  90%|█████████ | 9752/10792 [1:05:59<07:52,  2.20it/s, loss=0.0324, rank=0.0201, reg=0.0123]
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train epoch 1/1:  91%|█████████ | 9781/10792 [1:06:10<08:13,  2.05it/s, loss=0.1443, rank=0.0493, reg=0.0950]
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train epoch 1/1:  91%|█████████ | 9782/10792 [1:06:10<06:33,  2.57it/s, loss=0.0420, rank=0.0197, reg=0.0223]
train epoch 1/1:  91%|█████████ | 9782/10792 [1:06:11<06:33,  2.57it/s, loss=0.0510, rank=0.0241, reg=0.0270]
train epoch 1/1:  91%|█████████ | 9783/10792 [1:06:11<07:18,  2.30it/s, loss=0.0510, rank=0.0241, reg=0.0270]
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train epoch 1/1:  91%|█████████ | 9788/10792 [1:06:12<05:38,  2.96it/s, loss=0.0330, rank=0.0250, reg=0.0080]
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train epoch 1/1:  91%|█████████ | 9792/10792 [1:06:14<05:18,  3.14it/s, loss=0.0639, rank=0.0343, reg=0.0296]
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train epoch 1/1:  91%|█████████ | 9794/10792 [1:06:14<03:55,  4.24it/s, loss=0.1458, rank=0.0376, reg=0.1082]
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train epoch 1/1:  91%|█████████ | 9797/10792 [1:06:15<04:10,  3.98it/s, loss=0.1920, rank=0.0000, reg=0.1920]
train epoch 1/1:  91%|█████████ | 9797/10792 [1:06:16<04:10,  3.98it/s, loss=0.0687, rank=0.0291, reg=0.0396]
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train epoch 1/1:  91%|█████████ | 9801/10792 [1:06:17<06:44,  2.45it/s, loss=0.0258, rank=0.0227, reg=0.0032]
train epoch 1/1:  91%|█████████ | 9802/10792 [1:06:17<06:18,  2.62it/s, loss=0.0258, rank=0.0227, reg=0.0032]
train epoch 1/1:  91%|█████████ | 9802/10792 [1:06:18<06:18,  2.62it/s, loss=0.1419, rank=0.0568, reg=0.0850]
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train epoch 1/1:  91%|█████████ | 9804/10792 [1:06:18<06:46,  2.43it/s, loss=0.0068, rank=0.0029, reg=0.0038]
train epoch 1/1:  91%|█████████ | 9804/10792 [1:06:19<06:46,  2.43it/s, loss=0.2125, rank=0.1242, reg=0.0884]
train epoch 1/1:  91%|█████████ | 9805/10792 [1:06:19<08:56,  1.84it/s, loss=0.2125, rank=0.1242, reg=0.0884]
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train epoch 1/1:  91%|█████████ | 9806/10792 [1:06:19<07:14,  2.27it/s, loss=0.0573, rank=0.0352, reg=0.0221]
train epoch 1/1:  91%|█████████ | 9806/10792 [1:06:19<07:14,  2.27it/s, loss=0.0375, rank=0.0119, reg=0.0256]
train epoch 1/1:  91%|█████████ | 9807/10792 [1:06:19<06:12,  2.64it/s, loss=0.0375, rank=0.0119, reg=0.0256]
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train epoch 1/1:  91%|█████████ | 9808/10792 [1:06:21<08:34,  1.91it/s, loss=0.0409, rank=0.0122, reg=0.0288]
train epoch 1/1:  91%|█████████ | 9809/10792 [1:06:21<09:35,  1.71it/s, loss=0.0409, rank=0.0122, reg=0.0288]
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train epoch 1/1:  91%|█████████ | 9810/10792 [1:06:22<10:46,  1.52it/s, loss=0.0793, rank=0.0178, reg=0.0615]
train epoch 1/1:  91%|█████████ | 9810/10792 [1:06:22<10:46,  1.52it/s, loss=0.0739, rank=0.0179, reg=0.0560]
train epoch 1/1:  91%|█████████ | 9811/10792 [1:06:22<08:45,  1.87it/s, loss=0.0739, rank=0.0179, reg=0.0560]
train epoch 1/1:  91%|█████████ | 9811/10792 [1:06:22<08:45,  1.87it/s, loss=0.0953, rank=0.0315, reg=0.0639]
train epoch 1/1:  91%|█████████ | 9812/10792 [1:06:22<07:15,  2.25it/s, loss=0.0953, rank=0.0315, reg=0.0639]
train epoch 1/1:  91%|█████████ | 9812/10792 [1:06:22<07:15,  2.25it/s, loss=0.0905, rank=0.0301, reg=0.0604]
train epoch 1/1:  91%|█████████ | 9813/10792 [1:06:22<06:17,  2.60it/s, loss=0.0905, rank=0.0301, reg=0.0604]
train epoch 1/1:  91%|█████████ | 9813/10792 [1:06:23<06:17,  2.60it/s, loss=0.0915, rank=0.0455, reg=0.0460]
train epoch 1/1:  91%|█████████ | 9814/10792 [1:06:23<05:45,  2.83it/s, loss=0.0915, rank=0.0455, reg=0.0460]
train epoch 1/1:  91%|█████████ | 9814/10792 [1:06:23<05:45,  2.83it/s, loss=0.0757, rank=0.0625, reg=0.0132]
train epoch 1/1:  91%|█████████ | 9815/10792 [1:06:23<04:56,  3.30it/s, loss=0.0757, rank=0.0625, reg=0.0132]
train epoch 1/1:  91%|█████████ | 9815/10792 [1:06:23<04:56,  3.30it/s, loss=0.0663, rank=0.0349, reg=0.0314]
train epoch 1/1:  91%|█████████ | 9816/10792 [1:06:23<06:29,  2.51it/s, loss=0.0663, rank=0.0349, reg=0.0314]
train epoch 1/1:  91%|█████████ | 9816/10792 [1:06:24<06:29,  2.51it/s, loss=0.1521, rank=0.0609, reg=0.0912]
train epoch 1/1:  91%|█████████ | 9817/10792 [1:06:24<05:31,  2.95it/s, loss=0.1521, rank=0.0609, reg=0.0912]
train epoch 1/1:  91%|█████████ | 9817/10792 [1:06:25<05:31,  2.95it/s, loss=0.1107, rank=0.0301, reg=0.0806]
train epoch 1/1:  91%|█████████ | 9818/10792 [1:06:25<08:26,  1.92it/s, loss=0.1107, rank=0.0301, reg=0.0806]
train epoch 1/1:  91%|█████████ | 9818/10792 [1:06:25<08:26,  1.92it/s, loss=0.0393, rank=0.0274, reg=0.0119]
train epoch 1/1:  91%|█████████ | 9819/10792 [1:06:25<06:50,  2.37it/s, loss=0.0393, rank=0.0274, reg=0.0119]
train epoch 1/1:  91%|█████████ | 9819/10792 [1:06:25<06:50,  2.37it/s, loss=0.0841, rank=0.0490, reg=0.0352]
train epoch 1/1:  91%|█████████ | 9820/10792 [1:06:25<06:16,  2.58it/s, loss=0.0841, rank=0.0490, reg=0.0352]
train epoch 1/1:  91%|█████████ | 9820/10792 [1:06:25<06:16,  2.58it/s, loss=0.0612, rank=0.0249, reg=0.0363]
train epoch 1/1:  91%|█████████ | 9821/10792 [1:06:25<05:52,  2.76it/s, loss=0.0612, rank=0.0249, reg=0.0363]
train epoch 1/1:  91%|█████████ | 9821/10792 [1:06:26<05:52,  2.76it/s, loss=0.0470, rank=0.0280, reg=0.0190]
train epoch 1/1:  91%|█████████ | 9822/10792 [1:06:26<05:22,  3.01it/s, loss=0.0470, rank=0.0280, reg=0.0190]
train epoch 1/1:  91%|█████████ | 9822/10792 [1:06:26<05:22,  3.01it/s, loss=0.0762, rank=0.0661, reg=0.0101]
train epoch 1/1:  91%|█████████ | 9823/10792 [1:06:26<04:23,  3.68it/s, loss=0.0762, rank=0.0661, reg=0.0101]
train epoch 1/1:  91%|█████████ | 9823/10792 [1:06:26<04:23,  3.68it/s, loss=0.0501, rank=0.0369, reg=0.0132]
train epoch 1/1:  91%|█████████ | 9824/10792 [1:06:26<05:55,  2.73it/s, loss=0.0501, rank=0.0369, reg=0.0132]
train epoch 1/1:  91%|█████████ | 9824/10792 [1:06:27<05:55,  2.73it/s, loss=0.0678, rank=0.0553, reg=0.0125]
train epoch 1/1:  91%|█████████ | 9825/10792 [1:06:27<05:03,  3.18it/s, loss=0.0678, rank=0.0553, reg=0.0125]
train epoch 1/1:  91%|█████████ | 9825/10792 [1:06:28<05:03,  3.18it/s, loss=0.0290, rank=0.0127, reg=0.0163]
train epoch 1/1:  91%|█████████ | 9826/10792 [1:06:28<08:55,  1.80it/s, loss=0.0290, rank=0.0127, reg=0.0163]
train epoch 1/1:  91%|█████████ | 9826/10792 [1:06:28<08:55,  1.80it/s, loss=0.0782, rank=0.0438, reg=0.0345]
train epoch 1/1:  91%|█████████ | 9827/10792 [1:06:28<07:07,  2.26it/s, loss=0.0782, rank=0.0438, reg=0.0345]
train epoch 1/1:  91%|█████████ | 9827/10792 [1:06:28<07:07,  2.26it/s, loss=0.1242, rank=0.0245, reg=0.0997]
train epoch 1/1:  91%|█████████ | 9828/10792 [1:06:28<06:12,  2.59it/s, loss=0.1242, rank=0.0245, reg=0.0997]
train epoch 1/1:  91%|█████████ | 9828/10792 [1:06:28<06:12,  2.59it/s, loss=0.0482, rank=0.0376, reg=0.0106]
train epoch 1/1:  91%|█████████ | 9829/10792 [1:06:28<05:10,  3.11it/s, loss=0.0482, rank=0.0376, reg=0.0106]
train epoch 1/1:  91%|█████████ | 9829/10792 [1:06:29<05:10,  3.11it/s, loss=0.0690, rank=0.0469, reg=0.0221]
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train epoch 1/1:  91%|█████████ | 9830/10792 [1:06:29<05:14,  3.06it/s, loss=0.0662, rank=0.0402, reg=0.0260]
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train epoch 1/1:  91%|█████████ | 9832/10792 [1:06:29<04:36,  3.47it/s, loss=0.0342, rank=0.0306, reg=0.0036]
train epoch 1/1:  91%|█████████ | 9833/10792 [1:06:29<04:22,  3.65it/s, loss=0.0342, rank=0.0306, reg=0.0036]
train epoch 1/1:  91%|█████████ | 9833/10792 [1:06:30<04:22,  3.65it/s, loss=0.1940, rank=0.0898, reg=0.1042]
train epoch 1/1:  91%|█████████ | 9834/10792 [1:06:30<05:38,  2.83it/s, loss=0.1940, rank=0.0898, reg=0.1042]
train epoch 1/1:  91%|█████████ | 9834/10792 [1:06:30<05:38,  2.83it/s, loss=0.0815, rank=0.0671, reg=0.0144]
train epoch 1/1:  91%|█████████ | 9835/10792 [1:06:30<05:17,  3.01it/s, loss=0.0815, rank=0.0671, reg=0.0144]
train epoch 1/1:  91%|█████████ | 9835/10792 [1:06:30<05:17,  3.01it/s, loss=0.0813, rank=0.0716, reg=0.0097]
train epoch 1/1:  91%|█████████ | 9836/10792 [1:06:30<04:40,  3.41it/s, loss=0.0813, rank=0.0716, reg=0.0097]
train epoch 1/1:  91%|█████████ | 9836/10792 [1:06:31<04:40,  3.41it/s, loss=0.0563, rank=0.0306, reg=0.0256]
train epoch 1/1:  91%|█████████ | 9837/10792 [1:06:31<06:56,  2.29it/s, loss=0.0563, rank=0.0306, reg=0.0256]
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train epoch 1/1:  91%|█████████ | 9841/10792 [1:06:33<08:06,  1.96it/s, loss=0.1751, rank=0.0449, reg=0.1301]
train epoch 1/1:  91%|█████████ | 9841/10792 [1:06:34<08:06,  1.96it/s, loss=0.0520, rank=0.0441, reg=0.0079]
train epoch 1/1:  91%|█████████ | 9842/10792 [1:06:34<09:28,  1.67it/s, loss=0.0520, rank=0.0441, reg=0.0079]
train epoch 1/1:  91%|█████████ | 9842/10792 [1:06:34<09:28,  1.67it/s, loss=0.0827, rank=0.0528, reg=0.0299]
train epoch 1/1:  91%|█████████ | 9843/10792 [1:06:34<08:57,  1.77it/s, loss=0.0827, rank=0.0528, reg=0.0299]
train epoch 1/1:  91%|█████████ | 9843/10792 [1:06:35<08:57,  1.77it/s, loss=0.0401, rank=0.0249, reg=0.0152]
train epoch 1/1:  91%|█████████ | 9844/10792 [1:06:35<07:53,  2.00it/s, loss=0.0401, rank=0.0249, reg=0.0152]
train epoch 1/1:  91%|█████████ | 9844/10792 [1:06:35<07:53,  2.00it/s, loss=0.0420, rank=0.0296, reg=0.0123]
train epoch 1/1:  91%|█████████ | 9845/10792 [1:06:35<08:43,  1.81it/s, loss=0.0420, rank=0.0296, reg=0.0123]
train epoch 1/1:  91%|█████████ | 9845/10792 [1:06:36<08:43,  1.81it/s, loss=0.0621, rank=0.0324, reg=0.0297]
train epoch 1/1:  91%|█████████ | 9846/10792 [1:06:36<08:50,  1.78it/s, loss=0.0621, rank=0.0324, reg=0.0297]
train epoch 1/1:  91%|█████████ | 9846/10792 [1:06:37<08:50,  1.78it/s, loss=0.0501, rank=0.0296, reg=0.0205]
train epoch 1/1:  91%|█████████ | 9847/10792 [1:06:37<09:54,  1.59it/s, loss=0.0501, rank=0.0296, reg=0.0205]
train epoch 1/1:  91%|█████████ | 9847/10792 [1:06:37<09:54,  1.59it/s, loss=0.0560, rank=0.0482, reg=0.0078]
train epoch 1/1:  91%|█████████▏| 9848/10792 [1:06:37<08:41,  1.81it/s, loss=0.0560, rank=0.0482, reg=0.0078]
train epoch 1/1:  91%|█████████▏| 9848/10792 [1:06:37<08:41,  1.81it/s, loss=0.1356, rank=0.0979, reg=0.0377]
train epoch 1/1:  91%|█████████▏| 9849/10792 [1:06:37<06:43,  2.34it/s, loss=0.1356, rank=0.0979, reg=0.0377]
train epoch 1/1:  91%|█████████▏| 9849/10792 [1:06:37<06:43,  2.34it/s, loss=0.0805, rank=0.0215, reg=0.0590]
train epoch 1/1:  91%|█████████▏| 9850/10792 [1:06:37<05:33,  2.82it/s, loss=0.0805, rank=0.0215, reg=0.0590]
train epoch 1/1:  91%|█████████▏| 9850/10792 [1:06:38<05:33,  2.82it/s, loss=0.0796, rank=0.0641, reg=0.0155]
train epoch 1/1:  91%|█████████▏| 9851/10792 [1:06:38<07:47,  2.01it/s, loss=0.0796, rank=0.0641, reg=0.0155]
train epoch 1/1:  91%|█████████▏| 9851/10792 [1:06:38<07:47,  2.01it/s, loss=0.1317, rank=0.0516, reg=0.0801]
train epoch 1/1:  91%|█████████▏| 9852/10792 [1:06:38<06:38,  2.36it/s, loss=0.1317, rank=0.0516, reg=0.0801]
train epoch 1/1:  91%|█████████▏| 9852/10792 [1:06:39<06:38,  2.36it/s, loss=0.1426, rank=0.1300, reg=0.0126]
train epoch 1/1:  91%|█████████▏| 9853/10792 [1:06:39<06:05,  2.57it/s, loss=0.1426, rank=0.1300, reg=0.0126]
train epoch 1/1:  91%|█████████▏| 9853/10792 [1:06:39<06:05,  2.57it/s, loss=0.0659, rank=0.0480, reg=0.0179]
train epoch 1/1:  91%|█████████▏| 9854/10792 [1:06:39<04:54,  3.19it/s, loss=0.0659, rank=0.0480, reg=0.0179]
train epoch 1/1:  91%|█████████▏| 9854/10792 [1:06:39<04:54,  3.19it/s, loss=0.1022, rank=0.0404, reg=0.0618]
train epoch 1/1:  91%|█████████▏| 9855/10792 [1:06:39<04:17,  3.63it/s, loss=0.1022, rank=0.0404, reg=0.0618]
train epoch 1/1:  91%|█████████▏| 9855/10792 [1:06:39<04:17,  3.63it/s, loss=0.1092, rank=0.0811, reg=0.0281]
train epoch 1/1:  91%|█████████▏| 9856/10792 [1:06:39<04:30,  3.46it/s, loss=0.1092, rank=0.0811, reg=0.0281]
train epoch 1/1:  91%|█████████▏| 9856/10792 [1:06:40<04:30,  3.46it/s, loss=0.0661, rank=0.0412, reg=0.0250]
train epoch 1/1:  91%|█████████▏| 9857/10792 [1:06:40<06:04,  2.56it/s, loss=0.0661, rank=0.0412, reg=0.0250]
train epoch 1/1:  91%|█████████▏| 9857/10792 [1:06:40<06:04,  2.56it/s, loss=0.0646, rank=0.0446, reg=0.0200]
train epoch 1/1:  91%|█████████▏| 9858/10792 [1:06:40<04:46,  3.26it/s, loss=0.0646, rank=0.0446, reg=0.0200]
train epoch 1/1:  91%|█████████▏| 9858/10792 [1:06:40<04:46,  3.26it/s, loss=0.0936, rank=0.0655, reg=0.0280]
train epoch 1/1:  91%|█████████▏| 9859/10792 [1:06:40<04:05,  3.80it/s, loss=0.0936, rank=0.0655, reg=0.0280]
train epoch 1/1:  91%|█████████▏| 9859/10792 [1:06:41<04:05,  3.80it/s, loss=0.0154, rank=0.0000, reg=0.0154]
train epoch 1/1:  91%|█████████▏| 9860/10792 [1:06:41<05:06,  3.04it/s, loss=0.0154, rank=0.0000, reg=0.0154]
train epoch 1/1:  91%|█████████▏| 9860/10792 [1:06:41<05:06,  3.04it/s, loss=0.0869, rank=0.0443, reg=0.0426]
train epoch 1/1:  91%|█████████▏| 9861/10792 [1:06:41<04:35,  3.37it/s, loss=0.0869, rank=0.0443, reg=0.0426]
train epoch 1/1:  91%|█████████▏| 9861/10792 [1:06:41<04:35,  3.37it/s, loss=0.0876, rank=0.0454, reg=0.0422]
train epoch 1/1:  91%|█████████▏| 9862/10792 [1:06:41<04:12,  3.69it/s, loss=0.0876, rank=0.0454, reg=0.0422]
train epoch 1/1:  91%|█████████▏| 9862/10792 [1:06:42<04:12,  3.69it/s, loss=0.0819, rank=0.0626, reg=0.0193]
train epoch 1/1:  91%|█████████▏| 9863/10792 [1:06:42<05:18,  2.92it/s, loss=0.0819, rank=0.0626, reg=0.0193]
train epoch 1/1:  91%|█████████▏| 9863/10792 [1:06:42<05:18,  2.92it/s, loss=0.1076, rank=0.0817, reg=0.0259]
train epoch 1/1:  91%|█████████▏| 9864/10792 [1:06:42<06:53,  2.25it/s, loss=0.1076, rank=0.0817, reg=0.0259]
train epoch 1/1:  91%|█████████▏| 9864/10792 [1:06:43<06:53,  2.25it/s, loss=0.0830, rank=0.0294, reg=0.0536]
train epoch 1/1:  91%|█████████▏| 9865/10792 [1:06:43<05:44,  2.69it/s, loss=0.0830, rank=0.0294, reg=0.0536]
train epoch 1/1:  91%|█████████▏| 9865/10792 [1:06:43<05:44,  2.69it/s, loss=0.0863, rank=0.0362, reg=0.0501]
train epoch 1/1:  91%|█████████▏| 9866/10792 [1:06:43<06:08,  2.51it/s, loss=0.0863, rank=0.0362, reg=0.0501]
train epoch 1/1:  91%|█████████▏| 9866/10792 [1:06:44<06:08,  2.51it/s, loss=0.1292, rank=0.0000, reg=0.1292]
train epoch 1/1:  91%|█████████▏| 9867/10792 [1:06:44<06:36,  2.33it/s, loss=0.1292, rank=0.0000, reg=0.1292]
train epoch 1/1:  91%|█████████▏| 9867/10792 [1:06:44<06:36,  2.33it/s, loss=0.1042, rank=0.0575, reg=0.0468]
train epoch 1/1:  91%|█████████▏| 9868/10792 [1:06:44<05:49,  2.64it/s, loss=0.1042, rank=0.0575, reg=0.0468]
train epoch 1/1:  91%|█████████▏| 9868/10792 [1:06:45<05:49,  2.64it/s, loss=0.0814, rank=0.0544, reg=0.0270]
train epoch 1/1:  91%|█████████▏| 9869/10792 [1:06:45<07:31,  2.04it/s, loss=0.0814, rank=0.0544, reg=0.0270]
train epoch 1/1:  91%|█████████▏| 9869/10792 [1:06:45<07:31,  2.04it/s, loss=0.1386, rank=0.0737, reg=0.0649]
train epoch 1/1:  91%|█████████▏| 9870/10792 [1:06:45<07:04,  2.17it/s, loss=0.1386, rank=0.0737, reg=0.0649]
train epoch 1/1:  91%|█████████▏| 9870/10792 [1:06:45<07:04,  2.17it/s, loss=0.0741, rank=0.0558, reg=0.0184]
train epoch 1/1:  91%|█████████▏| 9871/10792 [1:06:45<05:35,  2.75it/s, loss=0.0741, rank=0.0558, reg=0.0184]
train epoch 1/1:  91%|█████████▏| 9871/10792 [1:06:45<05:35,  2.75it/s, loss=0.0674, rank=0.0266, reg=0.0408]
train epoch 1/1:  91%|█████████▏| 9872/10792 [1:06:45<05:20,  2.87it/s, loss=0.0674, rank=0.0266, reg=0.0408]
train epoch 1/1:  91%|█████████▏| 9872/10792 [1:06:46<05:20,  2.87it/s, loss=0.0271, rank=0.0125, reg=0.0147]
train epoch 1/1:  91%|█████████▏| 9873/10792 [1:06:46<04:38,  3.30it/s, loss=0.0271, rank=0.0125, reg=0.0147]
train epoch 1/1:  91%|█████████▏| 9873/10792 [1:06:46<04:38,  3.30it/s, loss=0.0623, rank=0.0366, reg=0.0257]
train epoch 1/1:  91%|█████████▏| 9874/10792 [1:06:46<04:22,  3.50it/s, loss=0.0623, rank=0.0366, reg=0.0257]
train epoch 1/1:  91%|█████████▏| 9874/10792 [1:06:46<04:22,  3.50it/s, loss=0.1178, rank=0.0163, reg=0.1016]
train epoch 1/1:  92%|█████████▏| 9875/10792 [1:06:46<04:25,  3.45it/s, loss=0.1178, rank=0.0163, reg=0.1016]
train epoch 1/1:  92%|█████████▏| 9875/10792 [1:06:46<04:25,  3.45it/s, loss=0.0810, rank=0.0244, reg=0.0566]
train epoch 1/1:  92%|█████████▏| 9876/10792 [1:06:46<04:28,  3.41it/s, loss=0.0810, rank=0.0244, reg=0.0566]
train epoch 1/1:  92%|█████████▏| 9876/10792 [1:06:47<04:28,  3.41it/s, loss=0.1129, rank=0.0798, reg=0.0331]
train epoch 1/1:  92%|█████████▏| 9877/10792 [1:06:47<04:50,  3.15it/s, loss=0.1129, rank=0.0798, reg=0.0331]
train epoch 1/1:  92%|█████████▏| 9877/10792 [1:06:47<04:50,  3.15it/s, loss=0.0768, rank=0.0555, reg=0.0213]
train epoch 1/1:  92%|█████████▏| 9878/10792 [1:06:47<05:11,  2.94it/s, loss=0.0768, rank=0.0555, reg=0.0213]
train epoch 1/1:  92%|█████████▏| 9878/10792 [1:06:48<05:11,  2.94it/s, loss=0.0998, rank=0.0563, reg=0.0435]
train epoch 1/1:  92%|█████████▏| 9879/10792 [1:06:48<05:09,  2.95it/s, loss=0.0998, rank=0.0563, reg=0.0435]
train epoch 1/1:  92%|█████████▏| 9879/10792 [1:06:49<05:09,  2.95it/s, loss=0.0460, rank=0.0219, reg=0.0241]
train epoch 1/1:  92%|█████████▏| 9880/10792 [1:06:49<08:21,  1.82it/s, loss=0.0460, rank=0.0219, reg=0.0241]
train epoch 1/1:  92%|█████████▏| 9880/10792 [1:06:49<08:21,  1.82it/s, loss=0.0552, rank=0.0467, reg=0.0085]
train epoch 1/1:  92%|█████████▏| 9881/10792 [1:06:49<09:15,  1.64it/s, loss=0.0552, rank=0.0467, reg=0.0085]
train epoch 1/1:  92%|█████████▏| 9881/10792 [1:06:50<09:15,  1.64it/s, loss=0.0136, rank=0.0063, reg=0.0074]
train epoch 1/1:  92%|█████████▏| 9882/10792 [1:06:50<07:36,  1.99it/s, loss=0.0136, rank=0.0063, reg=0.0074]
train epoch 1/1:  92%|█████████▏| 9882/10792 [1:06:50<07:36,  1.99it/s, loss=0.0679, rank=0.0557, reg=0.0122]
train epoch 1/1:  92%|█████████▏| 9883/10792 [1:06:50<06:00,  2.52it/s, loss=0.0679, rank=0.0557, reg=0.0122]
train epoch 1/1:  92%|█████████▏| 9883/10792 [1:06:50<06:00,  2.52it/s, loss=0.0654, rank=0.0593, reg=0.0061]
train epoch 1/1:  92%|█████████▏| 9884/10792 [1:06:50<05:37,  2.69it/s, loss=0.0654, rank=0.0593, reg=0.0061]
train epoch 1/1:  92%|█████████▏| 9884/10792 [1:06:51<05:37,  2.69it/s, loss=0.0937, rank=0.0728, reg=0.0209]
train epoch 1/1:  92%|█████████▏| 9885/10792 [1:06:51<06:09,  2.46it/s, loss=0.0937, rank=0.0728, reg=0.0209]
train epoch 1/1:  92%|█████████▏| 9885/10792 [1:06:51<06:09,  2.46it/s, loss=0.0359, rank=0.0132, reg=0.0227]
train epoch 1/1:  92%|█████████▏| 9886/10792 [1:06:51<07:29,  2.02it/s, loss=0.0359, rank=0.0132, reg=0.0227]
train epoch 1/1:  92%|█████████▏| 9886/10792 [1:06:52<07:29,  2.02it/s, loss=0.1252, rank=0.0828, reg=0.0424]
train epoch 1/1:  92%|█████████▏| 9887/10792 [1:06:52<07:04,  2.13it/s, loss=0.1252, rank=0.0828, reg=0.0424]
train epoch 1/1:  92%|█████████▏| 9887/10792 [1:06:52<07:04,  2.13it/s, loss=0.0612, rank=0.0371, reg=0.0240]
train epoch 1/1:  92%|█████████▏| 9888/10792 [1:06:52<05:27,  2.76it/s, loss=0.0612, rank=0.0371, reg=0.0240]
train epoch 1/1:  92%|█████████▏| 9888/10792 [1:06:52<05:27,  2.76it/s, loss=0.0578, rank=0.0487, reg=0.0091]
train epoch 1/1:  92%|█████████▏| 9889/10792 [1:06:52<04:50,  3.11it/s, loss=0.0578, rank=0.0487, reg=0.0091]
train epoch 1/1:  92%|█████████▏| 9889/10792 [1:06:53<04:50,  3.11it/s, loss=0.0698, rank=0.0311, reg=0.0387]
train epoch 1/1:  92%|█████████▏| 9890/10792 [1:06:53<06:54,  2.18it/s, loss=0.0698, rank=0.0311, reg=0.0387]
train epoch 1/1:  92%|█████████▏| 9890/10792 [1:06:53<06:54,  2.18it/s, loss=0.1202, rank=0.0683, reg=0.0519]
train epoch 1/1:  92%|█████████▏| 9891/10792 [1:06:53<06:38,  2.26it/s, loss=0.1202, rank=0.0683, reg=0.0519]
train epoch 1/1:  92%|█████████▏| 9891/10792 [1:06:53<06:38,  2.26it/s, loss=0.0512, rank=0.0443, reg=0.0068]
train epoch 1/1:  92%|█████████▏| 9892/10792 [1:06:53<05:22,  2.79it/s, loss=0.0512, rank=0.0443, reg=0.0068]
train epoch 1/1:  92%|█████████▏| 9892/10792 [1:06:53<05:22,  2.79it/s, loss=0.0743, rank=0.0478, reg=0.0265]
train epoch 1/1:  92%|█████████▏| 9893/10792 [1:06:53<04:30,  3.32it/s, loss=0.0743, rank=0.0478, reg=0.0265]
train epoch 1/1:  92%|█████████▏| 9893/10792 [1:06:54<04:30,  3.32it/s, loss=0.0668, rank=0.0356, reg=0.0312]
train epoch 1/1:  92%|█████████▏| 9894/10792 [1:06:54<04:40,  3.20it/s, loss=0.0668, rank=0.0356, reg=0.0312]
train epoch 1/1:  92%|█████████▏| 9894/10792 [1:06:55<04:40,  3.20it/s, loss=0.0526, rank=0.0329, reg=0.0197]
train epoch 1/1:  92%|█████████▏| 9895/10792 [1:06:55<06:39,  2.25it/s, loss=0.0526, rank=0.0329, reg=0.0197]
train epoch 1/1:  92%|█████████▏| 9895/10792 [1:06:55<06:39,  2.25it/s, loss=0.0771, rank=0.0543, reg=0.0228]
train epoch 1/1:  92%|█████████▏| 9896/10792 [1:06:55<08:11,  1.82it/s, loss=0.0771, rank=0.0543, reg=0.0228]
train epoch 1/1:  92%|█████████▏| 9896/10792 [1:06:56<08:11,  1.82it/s, loss=0.1030, rank=0.0520, reg=0.0510]
train epoch 1/1:  92%|█████████▏| 9897/10792 [1:06:56<08:02,  1.86it/s, loss=0.1030, rank=0.0520, reg=0.0510]
train epoch 1/1:  92%|█████████▏| 9897/10792 [1:06:56<08:02,  1.86it/s, loss=0.1000, rank=0.0471, reg=0.0529]
train epoch 1/1:  92%|█████████▏| 9898/10792 [1:06:56<06:33,  2.27it/s, loss=0.1000, rank=0.0471, reg=0.0529]
train epoch 1/1:  92%|█████████▏| 9898/10792 [1:06:57<06:33,  2.27it/s, loss=0.0519, rank=0.0354, reg=0.0165]
train epoch 1/1:  92%|█████████▏| 9899/10792 [1:06:57<06:30,  2.28it/s, loss=0.0519, rank=0.0354, reg=0.0165]
train epoch 1/1:  92%|█████████▏| 9899/10792 [1:06:57<06:30,  2.28it/s, loss=0.0420, rank=0.0204, reg=0.0215]
train epoch 1/1:  92%|█████████▏| 9900/10792 [1:06:57<05:32,  2.68it/s, loss=0.0420, rank=0.0204, reg=0.0215]
train epoch 1/1:  92%|█████████▏| 9900/10792 [1:06:57<05:32,  2.68it/s, loss=0.0165, rank=0.0138, reg=0.0028]
train epoch 1/1:  92%|█████████▏| 9901/10792 [1:06:57<06:48,  2.18it/s, loss=0.0165, rank=0.0138, reg=0.0028]
train epoch 1/1:  92%|█████████▏| 9901/10792 [1:06:58<06:48,  2.18it/s, loss=0.1051, rank=0.0344, reg=0.0707]
train epoch 1/1:  92%|█████████▏| 9902/10792 [1:06:58<08:03,  1.84it/s, loss=0.1051, rank=0.0344, reg=0.0707]
train epoch 1/1:  92%|█████████▏| 9902/10792 [1:06:58<08:03,  1.84it/s, loss=0.0617, rank=0.0506, reg=0.0111]
train epoch 1/1:  92%|█████████▏| 9903/10792 [1:06:58<06:21,  2.33it/s, loss=0.0617, rank=0.0506, reg=0.0111]
train epoch 1/1:  92%|█████████▏| 9903/10792 [1:06:59<06:21,  2.33it/s, loss=0.0504, rank=0.0268, reg=0.0236]
train epoch 1/1:  92%|█████████▏| 9904/10792 [1:06:59<05:49,  2.54it/s, loss=0.0504, rank=0.0268, reg=0.0236]
train epoch 1/1:  92%|█████████▏| 9904/10792 [1:06:59<05:49,  2.54it/s, loss=0.0826, rank=0.0229, reg=0.0597]
train epoch 1/1:  92%|█████████▏| 9905/10792 [1:06:59<04:57,  2.98it/s, loss=0.0826, rank=0.0229, reg=0.0597]
train epoch 1/1:  92%|█████████▏| 9905/10792 [1:06:59<04:57,  2.98it/s, loss=0.0851, rank=0.0619, reg=0.0232]
train epoch 1/1:  92%|█████████▏| 9906/10792 [1:06:59<05:42,  2.59it/s, loss=0.0851, rank=0.0619, reg=0.0232]
train epoch 1/1:  92%|█████████▏| 9906/10792 [1:07:00<05:42,  2.59it/s, loss=0.0503, rank=0.0253, reg=0.0250]
train epoch 1/1:  92%|█████████▏| 9907/10792 [1:07:00<07:49,  1.88it/s, loss=0.0503, rank=0.0253, reg=0.0250]
train epoch 1/1:  92%|█████████▏| 9907/10792 [1:07:01<07:49,  1.88it/s, loss=0.0908, rank=0.0167, reg=0.0741]
train epoch 1/1:  92%|█████████▏| 9908/10792 [1:07:01<06:58,  2.11it/s, loss=0.0908, rank=0.0167, reg=0.0741]
train epoch 1/1:  92%|█████████▏| 9908/10792 [1:07:01<06:58,  2.11it/s, loss=0.0621, rank=0.0316, reg=0.0305]
train epoch 1/1:  92%|█████████▏| 9909/10792 [1:07:01<06:28,  2.27it/s, loss=0.0621, rank=0.0316, reg=0.0305]
train epoch 1/1:  92%|█████████▏| 9909/10792 [1:07:01<06:28,  2.27it/s, loss=0.0838, rank=0.0664, reg=0.0174]
train epoch 1/1:  92%|█████████▏| 9910/10792 [1:07:01<06:27,  2.28it/s, loss=0.0838, rank=0.0664, reg=0.0174]
train epoch 1/1:  92%|█████████▏| 9910/10792 [1:07:02<06:27,  2.28it/s, loss=0.0400, rank=0.0225, reg=0.0175]
train epoch 1/1:  92%|█████████▏| 9911/10792 [1:07:02<07:08,  2.06it/s, loss=0.0400, rank=0.0225, reg=0.0175]
train epoch 1/1:  92%|█████████▏| 9911/10792 [1:07:02<07:08,  2.06it/s, loss=0.1185, rank=0.0605, reg=0.0580]
train epoch 1/1:  92%|█████████▏| 9912/10792 [1:07:02<05:49,  2.52it/s, loss=0.1185, rank=0.0605, reg=0.0580]
train epoch 1/1:  92%|█████████▏| 9912/10792 [1:07:02<05:49,  2.52it/s, loss=0.1314, rank=0.0615, reg=0.0698]
train epoch 1/1:  92%|█████████▏| 9913/10792 [1:07:02<05:07,  2.86it/s, loss=0.1314, rank=0.0615, reg=0.0698]
train epoch 1/1:  92%|█████████▏| 9913/10792 [1:07:03<05:07,  2.86it/s, loss=0.0768, rank=0.0372, reg=0.0396]
train epoch 1/1:  92%|█████████▏| 9914/10792 [1:07:03<07:50,  1.87it/s, loss=0.0768, rank=0.0372, reg=0.0396]
train epoch 1/1:  92%|█████████▏| 9914/10792 [1:07:04<07:50,  1.87it/s, loss=0.0530, rank=0.0230, reg=0.0300]
train epoch 1/1:  92%|█████████▏| 9915/10792 [1:07:04<07:38,  1.91it/s, loss=0.0530, rank=0.0230, reg=0.0300]
train epoch 1/1:  92%|█████████▏| 9915/10792 [1:07:05<07:38,  1.91it/s, loss=0.0538, rank=0.0258, reg=0.0279]
train epoch 1/1:  92%|█████████▏| 9916/10792 [1:07:05<08:25,  1.73it/s, loss=0.0538, rank=0.0258, reg=0.0279]
train epoch 1/1:  92%|█████████▏| 9916/10792 [1:07:05<08:25,  1.73it/s, loss=0.0942, rank=0.0254, reg=0.0687]
train epoch 1/1:  92%|█████████▏| 9917/10792 [1:07:05<08:54,  1.64it/s, loss=0.0942, rank=0.0254, reg=0.0687]
train epoch 1/1:  92%|█████████▏| 9917/10792 [1:07:06<08:54,  1.64it/s, loss=0.0657, rank=0.0485, reg=0.0172]
train epoch 1/1:  92%|█████████▏| 9918/10792 [1:07:06<07:49,  1.86it/s, loss=0.0657, rank=0.0485, reg=0.0172]
train epoch 1/1:  92%|█████████▏| 9918/10792 [1:07:06<07:49,  1.86it/s, loss=0.0181, rank=0.0114, reg=0.0067]
train epoch 1/1:  92%|█████████▏| 9919/10792 [1:07:06<06:36,  2.20it/s, loss=0.0181, rank=0.0114, reg=0.0067]
train epoch 1/1:  92%|█████████▏| 9919/10792 [1:07:06<06:36,  2.20it/s, loss=0.0831, rank=0.0607, reg=0.0224]
train epoch 1/1:  92%|█████████▏| 9920/10792 [1:07:06<06:04,  2.39it/s, loss=0.0831, rank=0.0607, reg=0.0224]
train epoch 1/1:  92%|█████████▏| 9920/10792 [1:07:06<06:04,  2.39it/s, loss=0.0483, rank=0.0433, reg=0.0050]
train epoch 1/1:  92%|█████████▏| 9921/10792 [1:07:06<05:17,  2.74it/s, loss=0.0483, rank=0.0433, reg=0.0050]
train epoch 1/1:  92%|█████████▏| 9921/10792 [1:07:07<05:17,  2.74it/s, loss=0.0625, rank=0.0124, reg=0.0501]
train epoch 1/1:  92%|█████████▏| 9922/10792 [1:07:07<04:20,  3.33it/s, loss=0.0625, rank=0.0124, reg=0.0501]
train epoch 1/1:  92%|█████████▏| 9922/10792 [1:07:07<04:20,  3.33it/s, loss=0.0874, rank=0.0580, reg=0.0294]
train epoch 1/1:  92%|█████████▏| 9923/10792 [1:07:07<03:46,  3.84it/s, loss=0.0874, rank=0.0580, reg=0.0294]
train epoch 1/1:  92%|█████████▏| 9923/10792 [1:07:07<03:46,  3.84it/s, loss=0.0700, rank=0.0437, reg=0.0263]
train epoch 1/1:  92%|█████████▏| 9924/10792 [1:07:07<04:25,  3.27it/s, loss=0.0700, rank=0.0437, reg=0.0263]
train epoch 1/1:  92%|█████████▏| 9924/10792 [1:07:08<04:25,  3.27it/s, loss=0.1759, rank=0.0452, reg=0.1307]
train epoch 1/1:  92%|█████████▏| 9925/10792 [1:07:08<04:48,  3.00it/s, loss=0.1759, rank=0.0452, reg=0.1307]
train epoch 1/1:  92%|█████████▏| 9925/10792 [1:07:08<04:48,  3.00it/s, loss=0.0951, rank=0.0420, reg=0.0532]
train epoch 1/1:  92%|█████████▏| 9926/10792 [1:07:08<04:51,  2.97it/s, loss=0.0951, rank=0.0420, reg=0.0532]
train epoch 1/1:  92%|█████████▏| 9926/10792 [1:07:08<04:51,  2.97it/s, loss=0.1027, rank=0.0437, reg=0.0590]
train epoch 1/1:  92%|█████████▏| 9927/10792 [1:07:08<05:56,  2.42it/s, loss=0.1027, rank=0.0437, reg=0.0590]
train epoch 1/1:  92%|█████████▏| 9927/10792 [1:07:09<05:56,  2.42it/s, loss=0.0439, rank=0.0327, reg=0.0112]
train epoch 1/1:  92%|█████████▏| 9928/10792 [1:07:09<05:17,  2.72it/s, loss=0.0439, rank=0.0327, reg=0.0112]
train epoch 1/1:  92%|█████████▏| 9928/10792 [1:07:09<05:17,  2.72it/s, loss=0.0795, rank=0.0367, reg=0.0428]
train epoch 1/1:  92%|█████████▏| 9929/10792 [1:07:09<04:55,  2.92it/s, loss=0.0795, rank=0.0367, reg=0.0428]
train epoch 1/1:  92%|█████████▏| 9929/10792 [1:07:10<04:55,  2.92it/s, loss=0.0939, rank=0.0558, reg=0.0381]
train epoch 1/1:  92%|█████████▏| 9930/10792 [1:07:10<06:56,  2.07it/s, loss=0.0939, rank=0.0558, reg=0.0381]
train epoch 1/1:  92%|█████████▏| 9930/10792 [1:07:10<06:56,  2.07it/s, loss=0.1162, rank=0.0619, reg=0.0542]
train epoch 1/1:  92%|█████████▏| 9931/10792 [1:07:10<06:44,  2.13it/s, loss=0.1162, rank=0.0619, reg=0.0542]
train epoch 1/1:  92%|█████████▏| 9931/10792 [1:07:10<06:44,  2.13it/s, loss=0.0354, rank=0.0000, reg=0.0354]
train epoch 1/1:  92%|█████████▏| 9932/10792 [1:07:10<05:26,  2.63it/s, loss=0.0354, rank=0.0000, reg=0.0354]
train epoch 1/1:  92%|█████████▏| 9932/10792 [1:07:11<05:26,  2.63it/s, loss=0.0607, rank=0.0233, reg=0.0374]
train epoch 1/1:  92%|█████████▏| 9933/10792 [1:07:11<05:48,  2.46it/s, loss=0.0607, rank=0.0233, reg=0.0374]
train epoch 1/1:  92%|█████████▏| 9933/10792 [1:07:11<05:48,  2.46it/s, loss=0.0446, rank=0.0406, reg=0.0040]
train epoch 1/1:  92%|█████████▏| 9934/10792 [1:07:11<05:02,  2.84it/s, loss=0.0446, rank=0.0406, reg=0.0040]
train epoch 1/1:  92%|█████████▏| 9934/10792 [1:07:12<05:02,  2.84it/s, loss=0.0836, rank=0.0473, reg=0.0363]
train epoch 1/1:  92%|█████████▏| 9935/10792 [1:07:12<07:23,  1.93it/s, loss=0.0836, rank=0.0473, reg=0.0363]
train epoch 1/1:  92%|█████████▏| 9935/10792 [1:07:12<07:23,  1.93it/s, loss=0.0831, rank=0.0631, reg=0.0199]
train epoch 1/1:  92%|█████████▏| 9936/10792 [1:07:12<06:15,  2.28it/s, loss=0.0831, rank=0.0631, reg=0.0199]
train epoch 1/1:  92%|█████████▏| 9936/10792 [1:07:12<06:15,  2.28it/s, loss=0.0515, rank=0.0221, reg=0.0293]
train epoch 1/1:  92%|█████████▏| 9937/10792 [1:07:12<04:54,  2.90it/s, loss=0.0515, rank=0.0221, reg=0.0293]
train epoch 1/1:  92%|█████████▏| 9937/10792 [1:07:13<04:54,  2.90it/s, loss=0.1216, rank=0.0850, reg=0.0365]
train epoch 1/1:  92%|█████████▏| 9938/10792 [1:07:13<04:06,  3.46it/s, loss=0.1216, rank=0.0850, reg=0.0365]
train epoch 1/1:  92%|█████████▏| 9938/10792 [1:07:13<04:06,  3.46it/s, loss=0.0736, rank=0.0566, reg=0.0170]
train epoch 1/1:  92%|█████████▏| 9939/10792 [1:07:13<04:58,  2.86it/s, loss=0.0736, rank=0.0566, reg=0.0170]
train epoch 1/1:  92%|█████████▏| 9939/10792 [1:07:14<04:58,  2.86it/s, loss=0.0973, rank=0.0343, reg=0.0630]
train epoch 1/1:  92%|█████████▏| 9940/10792 [1:07:14<05:20,  2.66it/s, loss=0.0973, rank=0.0343, reg=0.0630]
train epoch 1/1:  92%|█████████▏| 9940/10792 [1:07:14<05:20,  2.66it/s, loss=0.1008, rank=0.0678, reg=0.0330]
train epoch 1/1:  92%|█████████▏| 9941/10792 [1:07:14<04:37,  3.06it/s, loss=0.1008, rank=0.0678, reg=0.0330]
train epoch 1/1:  92%|█████████▏| 9941/10792 [1:07:14<04:37,  3.06it/s, loss=0.0765, rank=0.0253, reg=0.0512]
train epoch 1/1:  92%|█████████▏| 9942/10792 [1:07:14<05:17,  2.68it/s, loss=0.0765, rank=0.0253, reg=0.0512]
train epoch 1/1:  92%|█████████▏| 9942/10792 [1:07:14<05:17,  2.68it/s, loss=0.0575, rank=0.0482, reg=0.0093]
train epoch 1/1:  92%|█████████▏| 9943/10792 [1:07:14<04:15,  3.32it/s, loss=0.0575, rank=0.0482, reg=0.0093]
train epoch 1/1:  92%|█████████▏| 9943/10792 [1:07:15<04:15,  3.32it/s, loss=0.0351, rank=0.0243, reg=0.0108]
train epoch 1/1:  92%|█████████▏| 9944/10792 [1:07:15<04:41,  3.01it/s, loss=0.0351, rank=0.0243, reg=0.0108]
train epoch 1/1:  92%|█████████▏| 9944/10792 [1:07:15<04:41,  3.01it/s, loss=0.0823, rank=0.0450, reg=0.0373]
train epoch 1/1:  92%|█████████▏| 9945/10792 [1:07:15<04:48,  2.94it/s, loss=0.0823, rank=0.0450, reg=0.0373]
train epoch 1/1:  92%|█████████▏| 9945/10792 [1:07:15<04:48,  2.94it/s, loss=0.0928, rank=0.0544, reg=0.0383]
train epoch 1/1:  92%|█████████▏| 9946/10792 [1:07:15<04:15,  3.31it/s, loss=0.0928, rank=0.0544, reg=0.0383]
train epoch 1/1:  92%|█████████▏| 9946/10792 [1:07:16<04:15,  3.31it/s, loss=0.0605, rank=0.0433, reg=0.0172]
train epoch 1/1:  92%|█████████▏| 9947/10792 [1:07:16<04:10,  3.37it/s, loss=0.0605, rank=0.0433, reg=0.0172]
train epoch 1/1:  92%|█████████▏| 9947/10792 [1:07:16<04:10,  3.37it/s, loss=0.1341, rank=0.0898, reg=0.0443]
train epoch 1/1:  92%|█████████▏| 9948/10792 [1:07:16<04:07,  3.41it/s, loss=0.1341, rank=0.0898, reg=0.0443]
train epoch 1/1:  92%|█████████▏| 9948/10792 [1:07:16<04:07,  3.41it/s, loss=0.1246, rank=0.0993, reg=0.0253]
train epoch 1/1:  92%|█████████▏| 9949/10792 [1:07:16<04:04,  3.44it/s, loss=0.1246, rank=0.0993, reg=0.0253]
train epoch 1/1:  92%|█████████▏| 9949/10792 [1:07:17<04:04,  3.44it/s, loss=0.1514, rank=0.0993, reg=0.0521]
train epoch 1/1:  92%|█████████▏| 9950/10792 [1:07:17<05:08,  2.73it/s, loss=0.1514, rank=0.0993, reg=0.0521]
train epoch 1/1:  92%|█████████▏| 9950/10792 [1:07:18<05:08,  2.73it/s, loss=0.1402, rank=0.0383, reg=0.1019]
train epoch 1/1:  92%|█████████▏| 9951/10792 [1:07:18<07:53,  1.78it/s, loss=0.1402, rank=0.0383, reg=0.1019]
train epoch 1/1:  92%|█████████▏| 9951/10792 [1:07:18<07:53,  1.78it/s, loss=0.1103, rank=0.0932, reg=0.0171]
train epoch 1/1:  92%|█████████▏| 9952/10792 [1:07:18<06:44,  2.08it/s, loss=0.1103, rank=0.0932, reg=0.0171]
train epoch 1/1:  92%|█████████▏| 9952/10792 [1:07:18<06:44,  2.08it/s, loss=0.1693, rank=0.0677, reg=0.1017]
train epoch 1/1:  92%|█████████▏| 9953/10792 [1:07:18<05:21,  2.61it/s, loss=0.1693, rank=0.0677, reg=0.1017]
train epoch 1/1:  92%|█████████▏| 9953/10792 [1:07:19<05:21,  2.61it/s, loss=0.0509, rank=0.0251, reg=0.0258]
train epoch 1/1:  92%|█████████▏| 9954/10792 [1:07:19<06:02,  2.31it/s, loss=0.0509, rank=0.0251, reg=0.0258]
train epoch 1/1:  92%|█████████▏| 9954/10792 [1:07:19<06:02,  2.31it/s, loss=0.0750, rank=0.0636, reg=0.0115]
train epoch 1/1:  92%|█████████▏| 9955/10792 [1:07:19<05:25,  2.57it/s, loss=0.0750, rank=0.0636, reg=0.0115]
train epoch 1/1:  92%|█████████▏| 9955/10792 [1:07:19<05:25,  2.57it/s, loss=0.0543, rank=0.0267, reg=0.0276]
train epoch 1/1:  92%|█████████▏| 9956/10792 [1:07:19<04:36,  3.03it/s, loss=0.0543, rank=0.0267, reg=0.0276]
train epoch 1/1:  92%|█████████▏| 9956/10792 [1:07:20<04:36,  3.03it/s, loss=0.0773, rank=0.0194, reg=0.0579]
train epoch 1/1:  92%|█████████▏| 9957/10792 [1:07:20<04:35,  3.03it/s, loss=0.0773, rank=0.0194, reg=0.0579]
train epoch 1/1:  92%|█████████▏| 9957/10792 [1:07:20<04:35,  3.03it/s, loss=0.2065, rank=0.0279, reg=0.1786]
train epoch 1/1:  92%|█████████▏| 9958/10792 [1:07:20<06:40,  2.08it/s, loss=0.2065, rank=0.0279, reg=0.1786]
train epoch 1/1:  92%|█████████▏| 9958/10792 [1:07:21<06:40,  2.08it/s, loss=0.0527, rank=0.0457, reg=0.0070]
train epoch 1/1:  92%|█████████▏| 9959/10792 [1:07:21<06:21,  2.18it/s, loss=0.0527, rank=0.0457, reg=0.0070]
train epoch 1/1:  92%|█████████▏| 9959/10792 [1:07:21<06:21,  2.18it/s, loss=0.0620, rank=0.0475, reg=0.0144]
train epoch 1/1:  92%|█████████▏| 9960/10792 [1:07:21<05:48,  2.39it/s, loss=0.0620, rank=0.0475, reg=0.0144]
train epoch 1/1:  92%|█████████▏| 9960/10792 [1:07:21<05:48,  2.39it/s, loss=0.0367, rank=0.0126, reg=0.0241]
train epoch 1/1:  92%|█████████▏| 9961/10792 [1:07:21<05:31,  2.51it/s, loss=0.0367, rank=0.0126, reg=0.0241]
train epoch 1/1:  92%|█████████▏| 9961/10792 [1:07:22<05:31,  2.51it/s, loss=0.0693, rank=0.0611, reg=0.0082]
train epoch 1/1:  92%|█████████▏| 9962/10792 [1:07:22<05:30,  2.51it/s, loss=0.0693, rank=0.0611, reg=0.0082]
train epoch 1/1:  92%|█████████▏| 9962/10792 [1:07:22<05:30,  2.51it/s, loss=0.1239, rank=0.0966, reg=0.0273]
train epoch 1/1:  92%|█████████▏| 9963/10792 [1:07:22<05:04,  2.72it/s, loss=0.1239, rank=0.0966, reg=0.0273]
train epoch 1/1:  92%|█████████▏| 9963/10792 [1:07:22<05:04,  2.72it/s, loss=0.1133, rank=0.0402, reg=0.0732]
train epoch 1/1:  92%|█████████▏| 9964/10792 [1:07:22<04:28,  3.08it/s, loss=0.1133, rank=0.0402, reg=0.0732]
train epoch 1/1:  92%|█████████▏| 9964/10792 [1:07:23<04:28,  3.08it/s, loss=0.1070, rank=0.0787, reg=0.0283]
train epoch 1/1:  92%|█████████▏| 9965/10792 [1:07:23<04:18,  3.20it/s, loss=0.1070, rank=0.0787, reg=0.0283]
train epoch 1/1:  92%|█████████▏| 9965/10792 [1:07:23<04:18,  3.20it/s, loss=0.0781, rank=0.0465, reg=0.0316]
train epoch 1/1:  92%|█████████▏| 9966/10792 [1:07:23<04:47,  2.87it/s, loss=0.0781, rank=0.0465, reg=0.0316]
train epoch 1/1:  92%|█████████▏| 9966/10792 [1:07:24<04:47,  2.87it/s, loss=0.0455, rank=0.0102, reg=0.0353]
train epoch 1/1:  92%|█████████▏| 9967/10792 [1:07:24<05:53,  2.33it/s, loss=0.0455, rank=0.0102, reg=0.0353]
train epoch 1/1:  92%|█████████▏| 9967/10792 [1:07:24<05:53,  2.33it/s, loss=0.1118, rank=0.0511, reg=0.0606]
train epoch 1/1:  92%|█████████▏| 9968/10792 [1:07:24<04:37,  2.97it/s, loss=0.1118, rank=0.0511, reg=0.0606]
train epoch 1/1:  92%|█████████▏| 9968/10792 [1:07:24<04:37,  2.97it/s, loss=0.1456, rank=0.0746, reg=0.0711]
train epoch 1/1:  92%|█████████▏| 9969/10792 [1:07:24<04:04,  3.36it/s, loss=0.1456, rank=0.0746, reg=0.0711]
train epoch 1/1:  92%|█████████▏| 9969/10792 [1:07:24<04:04,  3.36it/s, loss=0.0467, rank=0.0211, reg=0.0255]
train epoch 1/1:  92%|█████████▏| 9970/10792 [1:07:24<04:27,  3.08it/s, loss=0.0467, rank=0.0211, reg=0.0255]
train epoch 1/1:  92%|█████████▏| 9970/10792 [1:07:25<04:27,  3.08it/s, loss=0.0337, rank=0.0000, reg=0.0337]
train epoch 1/1:  92%|█████████▏| 9971/10792 [1:07:25<04:29,  3.05it/s, loss=0.0337, rank=0.0000, reg=0.0337]
train epoch 1/1:  92%|█████████▏| 9971/10792 [1:07:25<04:29,  3.05it/s, loss=0.0648, rank=0.0259, reg=0.0389]
train epoch 1/1:  92%|█████████▏| 9972/10792 [1:07:25<04:06,  3.33it/s, loss=0.0648, rank=0.0259, reg=0.0389]
train epoch 1/1:  92%|█████████▏| 9972/10792 [1:07:26<04:06,  3.33it/s, loss=0.1358, rank=0.1106, reg=0.0252]
train epoch 1/1:  92%|█████████▏| 9973/10792 [1:07:26<06:34,  2.08it/s, loss=0.1358, rank=0.1106, reg=0.0252]
train epoch 1/1:  92%|█████████▏| 9973/10792 [1:07:26<06:34,  2.08it/s, loss=0.0247, rank=0.0166, reg=0.0081]
train epoch 1/1:  92%|█████████▏| 9974/10792 [1:07:26<05:23,  2.53it/s, loss=0.0247, rank=0.0166, reg=0.0081]
train epoch 1/1:  92%|█████████▏| 9974/10792 [1:07:26<05:23,  2.53it/s, loss=0.0399, rank=0.0240, reg=0.0159]
train epoch 1/1:  92%|█████████▏| 9975/10792 [1:07:26<04:34,  2.97it/s, loss=0.0399, rank=0.0240, reg=0.0159]
train epoch 1/1:  92%|█████████▏| 9975/10792 [1:07:26<04:34,  2.97it/s, loss=0.0333, rank=0.0228, reg=0.0105]
train epoch 1/1:  92%|█████████▏| 9976/10792 [1:07:26<04:03,  3.36it/s, loss=0.0333, rank=0.0228, reg=0.0105]
train epoch 1/1:  92%|█████████▏| 9976/10792 [1:07:27<04:03,  3.36it/s, loss=0.0623, rank=0.0258, reg=0.0365]
train epoch 1/1:  92%|█████████▏| 9977/10792 [1:07:27<03:37,  3.74it/s, loss=0.0623, rank=0.0258, reg=0.0365]
train epoch 1/1:  92%|█████████▏| 9977/10792 [1:07:27<03:37,  3.74it/s, loss=0.1313, rank=0.0979, reg=0.0334]
train epoch 1/1:  92%|█████████▏| 9978/10792 [1:07:27<05:26,  2.49it/s, loss=0.1313, rank=0.0979, reg=0.0334]
train epoch 1/1:  92%|█████████▏| 9978/10792 [1:07:28<05:26,  2.49it/s, loss=0.0825, rank=0.0516, reg=0.0309]
train epoch 1/1:  92%|█████████▏| 9979/10792 [1:07:28<07:37,  1.78it/s, loss=0.0825, rank=0.0516, reg=0.0309]
train epoch 1/1:  92%|█████████▏| 9979/10792 [1:07:28<07:37,  1.78it/s, loss=0.0538, rank=0.0382, reg=0.0156]
train epoch 1/1:  92%|█████████▏| 9980/10792 [1:07:28<05:55,  2.29it/s, loss=0.0538, rank=0.0382, reg=0.0156]
train epoch 1/1:  92%|█████████▏| 9980/10792 [1:07:29<05:55,  2.29it/s, loss=0.1145, rank=0.0659, reg=0.0486]
train epoch 1/1:  92%|█████████▏| 9981/10792 [1:07:29<05:54,  2.29it/s, loss=0.1145, rank=0.0659, reg=0.0486]
train epoch 1/1:  92%|█████████▏| 9981/10792 [1:07:29<05:54,  2.29it/s, loss=0.1237, rank=0.0951, reg=0.0285]
train epoch 1/1:  92%|█████████▏| 9982/10792 [1:07:29<04:52,  2.77it/s, loss=0.1237, rank=0.0951, reg=0.0285]
train epoch 1/1:  92%|█████████▏| 9982/10792 [1:07:30<04:52,  2.77it/s, loss=0.1239, rank=0.0536, reg=0.0704]
train epoch 1/1:  93%|█████████▎| 9983/10792 [1:07:30<06:20,  2.13it/s, loss=0.1239, rank=0.0536, reg=0.0704]
train epoch 1/1:  93%|█████████▎| 9983/10792 [1:07:30<06:20,  2.13it/s, loss=0.0797, rank=0.0175, reg=0.0622]
train epoch 1/1:  93%|█████████▎| 9984/10792 [1:07:30<05:55,  2.27it/s, loss=0.0797, rank=0.0175, reg=0.0622]
train epoch 1/1:  93%|█████████▎| 9984/10792 [1:07:30<05:55,  2.27it/s, loss=0.0550, rank=0.0382, reg=0.0169]
train epoch 1/1:  93%|█████████▎| 9985/10792 [1:07:30<05:01,  2.68it/s, loss=0.0550, rank=0.0382, reg=0.0169]
train epoch 1/1:  93%|█████████▎| 9985/10792 [1:07:31<05:01,  2.68it/s, loss=0.0644, rank=0.0383, reg=0.0260]
train epoch 1/1:  93%|█████████▎| 9986/10792 [1:07:31<04:29,  2.99it/s, loss=0.0644, rank=0.0383, reg=0.0260]
train epoch 1/1:  93%|█████████▎| 9986/10792 [1:07:31<04:29,  2.99it/s, loss=0.0877, rank=0.0273, reg=0.0604]
train epoch 1/1:  93%|█████████▎| 9987/10792 [1:07:31<04:45,  2.82it/s, loss=0.0877, rank=0.0273, reg=0.0604]
train epoch 1/1:  93%|█████████▎| 9987/10792 [1:07:32<04:45,  2.82it/s, loss=0.0845, rank=0.0646, reg=0.0199]
train epoch 1/1:  93%|█████████▎| 9988/10792 [1:07:32<05:46,  2.32it/s, loss=0.0845, rank=0.0646, reg=0.0199]
train epoch 1/1:  93%|█████████▎| 9988/10792 [1:07:32<05:46,  2.32it/s, loss=0.1160, rank=0.0721, reg=0.0439]
train epoch 1/1:  93%|█████████▎| 9989/10792 [1:07:32<05:30,  2.43it/s, loss=0.1160, rank=0.0721, reg=0.0439]
train epoch 1/1:  93%|█████████▎| 9989/10792 [1:07:33<05:30,  2.43it/s, loss=0.0286, rank=0.0000, reg=0.0286]
train epoch 1/1:  93%|█████████▎| 9990/10792 [1:07:33<06:10,  2.16it/s, loss=0.0286, rank=0.0000, reg=0.0286]
train epoch 1/1:  93%|█████████▎| 9990/10792 [1:07:33<06:10,  2.16it/s, loss=0.0970, rank=0.0692, reg=0.0278]
train epoch 1/1:  93%|█████████▎| 9991/10792 [1:07:33<04:57,  2.69it/s, loss=0.0970, rank=0.0692, reg=0.0278]
train epoch 1/1:  93%|█████████▎| 9991/10792 [1:07:34<04:57,  2.69it/s, loss=0.0619, rank=0.0284, reg=0.0335]
train epoch 1/1:  93%|█████████▎| 9992/10792 [1:07:34<08:16,  1.61it/s, loss=0.0619, rank=0.0284, reg=0.0335]
train epoch 1/1:  93%|█████████▎| 9992/10792 [1:07:35<08:16,  1.61it/s, loss=0.0550, rank=0.0109, reg=0.0441]
train epoch 1/1:  93%|█████████▎| 9993/10792 [1:07:35<08:07,  1.64it/s, loss=0.0550, rank=0.0109, reg=0.0441]
train epoch 1/1:  93%|█████████▎| 9993/10792 [1:07:35<08:07,  1.64it/s, loss=0.0433, rank=0.0126, reg=0.0308]
train epoch 1/1:  93%|█████████▎| 9994/10792 [1:07:35<06:20,  2.10it/s, loss=0.0433, rank=0.0126, reg=0.0308]
train epoch 1/1:  93%|█████████▎| 9994/10792 [1:07:35<06:20,  2.10it/s, loss=0.0751, rank=0.0125, reg=0.0626]
train epoch 1/1:  93%|█████████▎| 9995/10792 [1:07:35<07:24,  1.79it/s, loss=0.0751, rank=0.0125, reg=0.0626]
train epoch 1/1:  93%|█████████▎| 9995/10792 [1:07:36<07:24,  1.79it/s, loss=0.0747, rank=0.0531, reg=0.0216]
train epoch 1/1:  93%|█████████▎| 9996/10792 [1:07:36<07:09,  1.85it/s, loss=0.0747, rank=0.0531, reg=0.0216]
train epoch 1/1:  93%|█████████▎| 9996/10792 [1:07:37<07:09,  1.85it/s, loss=0.0512, rank=0.0342, reg=0.0170]
train epoch 1/1:  93%|█████████▎| 9997/10792 [1:07:37<09:40,  1.37it/s, loss=0.0512, rank=0.0342, reg=0.0170]
train epoch 1/1:  93%|█████████▎| 9997/10792 [1:07:38<09:40,  1.37it/s, loss=0.0940, rank=0.0430, reg=0.0510]
train epoch 1/1:  93%|█████████▎| 9998/10792 [1:07:38<10:40,  1.24it/s, loss=0.0940, rank=0.0430, reg=0.0510]
train epoch 1/1:  93%|█████████▎| 9998/10792 [1:07:38<10:40,  1.24it/s, loss=0.0386, rank=0.0046, reg=0.0340]
train epoch 1/1:  93%|█████████▎| 9999/10792 [1:07:38<08:18,  1.59it/s, loss=0.0386, rank=0.0046, reg=0.0340]
train epoch 1/1:  93%|█████████▎| 9999/10792 [1:07:39<08:18,  1.59it/s, loss=0.0703, rank=0.0266, reg=0.0437]
train epoch 1/1:  93%|█████████▎| 10000/10792 [1:07:39<06:42,  1.97it/s, loss=0.0703, rank=0.0266, reg=0.0437]
train epoch 1/1:  93%|█████████▎| 10000/10792 [1:07:39<06:42,  1.97it/s, loss=0.0478, rank=0.0269, reg=0.0209]
train epoch 1/1:  93%|█████████▎| 10001/10792 [1:07:39<05:34,  2.37it/s, loss=0.0478, rank=0.0269, reg=0.0209]
train epoch 1/1:  93%|█████████▎| 10001/10792 [1:07:39<05:34,  2.37it/s, loss=0.0692, rank=0.0156, reg=0.0536]
train epoch 1/1:  93%|█████████▎| 10002/10792 [1:07:39<05:14,  2.51it/s, loss=0.0692, rank=0.0156, reg=0.0536]
train epoch 1/1:  93%|█████████▎| 10002/10792 [1:07:39<05:14,  2.51it/s, loss=0.0839, rank=0.0655, reg=0.0184]
train epoch 1/1:  93%|█████████▎| 10003/10792 [1:07:39<04:55,  2.67it/s, loss=0.0839, rank=0.0655, reg=0.0184]
train epoch 1/1:  93%|█████████▎| 10003/10792 [1:07:40<04:55,  2.67it/s, loss=0.1079, rank=0.0897, reg=0.0182]
train epoch 1/1:  93%|█████████▎| 10004/10792 [1:07:40<04:11,  3.14it/s, loss=0.1079, rank=0.0897, reg=0.0182]
train epoch 1/1:  93%|█████████▎| 10004/10792 [1:07:40<04:11,  3.14it/s, loss=0.1253, rank=0.0350, reg=0.0903]
train epoch 1/1:  93%|█████████▎| 10005/10792 [1:07:40<04:06,  3.19it/s, loss=0.1253, rank=0.0350, reg=0.0903]
train epoch 1/1:  93%|█████████▎| 10005/10792 [1:07:41<04:06,  3.19it/s, loss=0.1288, rank=0.0356, reg=0.0932]
train epoch 1/1:  93%|█████████▎| 10006/10792 [1:07:41<06:10,  2.12it/s, loss=0.1288, rank=0.0356, reg=0.0932]
train epoch 1/1:  93%|█████████▎| 10006/10792 [1:07:42<06:10,  2.12it/s, loss=0.0743, rank=0.0243, reg=0.0500]
train epoch 1/1:  93%|█████████▎| 10007/10792 [1:07:42<07:17,  1.79it/s, loss=0.0743, rank=0.0243, reg=0.0500]
train epoch 1/1:  93%|█████████▎| 10007/10792 [1:07:42<07:17,  1.79it/s, loss=0.0610, rank=0.0268, reg=0.0342]
train epoch 1/1:  93%|█████████▎| 10008/10792 [1:07:42<06:25,  2.03it/s, loss=0.0610, rank=0.0268, reg=0.0342]
train epoch 1/1:  93%|█████████▎| 10008/10792 [1:07:43<06:25,  2.03it/s, loss=0.1040, rank=0.0578, reg=0.0462]
train epoch 1/1:  93%|█████████▎| 10009/10792 [1:07:43<07:13,  1.81it/s, loss=0.1040, rank=0.0578, reg=0.0462]
train epoch 1/1:  93%|█████████▎| 10009/10792 [1:07:43<07:13,  1.81it/s, loss=0.1528, rank=0.0478, reg=0.1050]
train epoch 1/1:  93%|█████████▎| 10010/10792 [1:07:43<06:20,  2.06it/s, loss=0.1528, rank=0.0478, reg=0.1050]
train epoch 1/1:  93%|█████████▎| 10010/10792 [1:07:43<06:20,  2.06it/s, loss=0.0242, rank=0.0125, reg=0.0117]
train epoch 1/1:  93%|█████████▎| 10011/10792 [1:07:43<05:53,  2.21it/s, loss=0.0242, rank=0.0125, reg=0.0117]
train epoch 1/1:  93%|█████████▎| 10011/10792 [1:07:44<05:53,  2.21it/s, loss=0.0878, rank=0.0541, reg=0.0336]
train epoch 1/1:  93%|█████████▎| 10012/10792 [1:07:44<05:52,  2.21it/s, loss=0.0878, rank=0.0541, reg=0.0336]
train epoch 1/1:  93%|█████████▎| 10012/10792 [1:07:44<05:52,  2.21it/s, loss=0.0839, rank=0.0697, reg=0.0142]
train epoch 1/1:  93%|█████████▎| 10013/10792 [1:07:44<04:49,  2.69it/s, loss=0.0839, rank=0.0697, reg=0.0142]
train epoch 1/1:  93%|█████████▎| 10013/10792 [1:07:44<04:49,  2.69it/s, loss=0.0981, rank=0.0519, reg=0.0461]
train epoch 1/1:  93%|█████████▎| 10014/10792 [1:07:44<04:07,  3.15it/s, loss=0.0981, rank=0.0519, reg=0.0461]
train epoch 1/1:  93%|█████████▎| 10014/10792 [1:07:44<04:07,  3.15it/s, loss=0.0426, rank=0.0121, reg=0.0305]
train epoch 1/1:  93%|█████████▎| 10015/10792 [1:07:44<03:54,  3.31it/s, loss=0.0426, rank=0.0121, reg=0.0305]
train epoch 1/1:  93%|█████████▎| 10015/10792 [1:07:45<03:54,  3.31it/s, loss=0.0547, rank=0.0405, reg=0.0142]
train epoch 1/1:  93%|█████████▎| 10016/10792 [1:07:45<03:25,  3.77it/s, loss=0.0547, rank=0.0405, reg=0.0142]
train epoch 1/1:  93%|█████████▎| 10016/10792 [1:07:45<03:25,  3.77it/s, loss=0.0656, rank=0.0372, reg=0.0284]
train epoch 1/1:  93%|█████████▎| 10017/10792 [1:07:45<04:46,  2.71it/s, loss=0.0656, rank=0.0372, reg=0.0284]
train epoch 1/1:  93%|█████████▎| 10017/10792 [1:07:45<04:46,  2.71it/s, loss=0.2210, rank=0.0618, reg=0.1592]
train epoch 1/1:  93%|█████████▎| 10018/10792 [1:07:45<04:17,  3.01it/s, loss=0.2210, rank=0.0618, reg=0.1592]
train epoch 1/1:  93%|█████████▎| 10018/10792 [1:07:46<04:17,  3.01it/s, loss=0.1784, rank=0.0511, reg=0.1273]
train epoch 1/1:  93%|█████████▎| 10019/10792 [1:07:46<04:20,  2.97it/s, loss=0.1784, rank=0.0511, reg=0.1273]
train epoch 1/1:  93%|█████████▎| 10019/10792 [1:07:46<04:20,  2.97it/s, loss=0.0236, rank=0.0171, reg=0.0065]
train epoch 1/1:  93%|█████████▎| 10020/10792 [1:07:46<04:30,  2.86it/s, loss=0.0236, rank=0.0171, reg=0.0065]
train epoch 1/1:  93%|█████████▎| 10020/10792 [1:07:46<04:30,  2.86it/s, loss=0.0525, rank=0.0483, reg=0.0042]
train epoch 1/1:  93%|█████████▎| 10021/10792 [1:07:46<03:57,  3.24it/s, loss=0.0525, rank=0.0483, reg=0.0042]
train epoch 1/1:  93%|█████████▎| 10021/10792 [1:07:47<03:57,  3.24it/s, loss=0.0524, rank=0.0083, reg=0.0441]
train epoch 1/1:  93%|█████████▎| 10022/10792 [1:07:47<05:42,  2.25it/s, loss=0.0524, rank=0.0083, reg=0.0441]
train epoch 1/1:  93%|█████████▎| 10022/10792 [1:07:48<05:42,  2.25it/s, loss=0.0650, rank=0.0495, reg=0.0154]
train epoch 1/1:  93%|█████████▎| 10023/10792 [1:07:48<06:03,  2.12it/s, loss=0.0650, rank=0.0495, reg=0.0154]
train epoch 1/1:  93%|█████████▎| 10023/10792 [1:07:48<06:03,  2.12it/s, loss=0.0363, rank=0.0000, reg=0.0363]
train epoch 1/1:  93%|█████████▎| 10024/10792 [1:07:48<06:02,  2.12it/s, loss=0.0363, rank=0.0000, reg=0.0363]
train epoch 1/1:  93%|█████████▎| 10024/10792 [1:07:48<06:02,  2.12it/s, loss=0.0675, rank=0.0269, reg=0.0406]
train epoch 1/1:  93%|█████████▎| 10025/10792 [1:07:48<05:09,  2.47it/s, loss=0.0675, rank=0.0269, reg=0.0406]
train epoch 1/1:  93%|█████████▎| 10025/10792 [1:07:49<05:09,  2.47it/s, loss=0.0999, rank=0.0274, reg=0.0725]
train epoch 1/1:  93%|█████████▎| 10026/10792 [1:07:49<05:35,  2.28it/s, loss=0.0999, rank=0.0274, reg=0.0725]
train epoch 1/1:  93%|█████████▎| 10026/10792 [1:07:49<05:35,  2.28it/s, loss=0.0667, rank=0.0579, reg=0.0088]
train epoch 1/1:  93%|█████████▎| 10027/10792 [1:07:49<05:29,  2.32it/s, loss=0.0667, rank=0.0579, reg=0.0088]
train epoch 1/1:  93%|█████████▎| 10027/10792 [1:07:50<05:29,  2.32it/s, loss=0.0389, rank=0.0204, reg=0.0185]
train epoch 1/1:  93%|█████████▎| 10028/10792 [1:07:50<07:24,  1.72it/s, loss=0.0389, rank=0.0204, reg=0.0185]
train epoch 1/1:  93%|█████████▎| 10028/10792 [1:07:51<07:24,  1.72it/s, loss=0.0691, rank=0.0224, reg=0.0466]
train epoch 1/1:  93%|█████████▎| 10029/10792 [1:07:51<06:42,  1.90it/s, loss=0.0691, rank=0.0224, reg=0.0466]
train epoch 1/1:  93%|█████████▎| 10029/10792 [1:07:51<06:42,  1.90it/s, loss=0.0516, rank=0.0460, reg=0.0056]
train epoch 1/1:  93%|█████████▎| 10030/10792 [1:07:51<06:17,  2.02it/s, loss=0.0516, rank=0.0460, reg=0.0056]
train epoch 1/1:  93%|█████████▎| 10030/10792 [1:07:51<06:17,  2.02it/s, loss=0.0614, rank=0.0360, reg=0.0254]
train epoch 1/1:  93%|█████████▎| 10031/10792 [1:07:51<05:17,  2.40it/s, loss=0.0614, rank=0.0360, reg=0.0254]
train epoch 1/1:  93%|█████████▎| 10031/10792 [1:07:52<05:17,  2.40it/s, loss=0.0203, rank=0.0048, reg=0.0154]
train epoch 1/1:  93%|█████████▎| 10032/10792 [1:07:52<05:01,  2.52it/s, loss=0.0203, rank=0.0048, reg=0.0154]
train epoch 1/1:  93%|█████████▎| 10032/10792 [1:07:52<05:01,  2.52it/s, loss=0.1161, rank=0.0735, reg=0.0426]
train epoch 1/1:  93%|█████████▎| 10033/10792 [1:07:52<04:49,  2.62it/s, loss=0.1161, rank=0.0735, reg=0.0426]
train epoch 1/1:  93%|█████████▎| 10033/10792 [1:07:52<04:49,  2.62it/s, loss=0.1193, rank=0.0954, reg=0.0238]
train epoch 1/1:  93%|█████████▎| 10034/10792 [1:07:52<04:03,  3.11it/s, loss=0.1193, rank=0.0954, reg=0.0238]
train epoch 1/1:  93%|█████████▎| 10034/10792 [1:07:52<04:03,  3.11it/s, loss=0.0915, rank=0.0821, reg=0.0093]
train epoch 1/1:  93%|█████████▎| 10035/10792 [1:07:52<03:56,  3.21it/s, loss=0.0915, rank=0.0821, reg=0.0093]
train epoch 1/1:  93%|█████████▎| 10035/10792 [1:07:53<03:56,  3.21it/s, loss=0.0814, rank=0.0255, reg=0.0558]
train epoch 1/1:  93%|█████████▎| 10036/10792 [1:07:53<03:46,  3.34it/s, loss=0.0814, rank=0.0255, reg=0.0558]
train epoch 1/1:  93%|█████████▎| 10036/10792 [1:07:53<03:46,  3.34it/s, loss=0.0634, rank=0.0213, reg=0.0421]
train epoch 1/1:  93%|█████████▎| 10037/10792 [1:07:53<03:16,  3.84it/s, loss=0.0634, rank=0.0213, reg=0.0421]
train epoch 1/1:  93%|█████████▎| 10037/10792 [1:07:54<03:16,  3.84it/s, loss=0.0715, rank=0.0454, reg=0.0261]
train epoch 1/1:  93%|█████████▎| 10038/10792 [1:07:54<04:35,  2.73it/s, loss=0.0715, rank=0.0454, reg=0.0261]
train epoch 1/1:  93%|█████████▎| 10038/10792 [1:07:55<04:35,  2.73it/s, loss=0.0661, rank=0.0066, reg=0.0595]
train epoch 1/1:  93%|█████████▎| 10039/10792 [1:07:55<07:11,  1.75it/s, loss=0.0661, rank=0.0066, reg=0.0595]
train epoch 1/1:  93%|█████████▎| 10039/10792 [1:07:55<07:11,  1.75it/s, loss=0.1891, rank=0.1076, reg=0.0814]
train epoch 1/1:  93%|█████████▎| 10040/10792 [1:07:55<06:19,  1.98it/s, loss=0.1891, rank=0.1076, reg=0.0814]
train epoch 1/1:  93%|█████████▎| 10040/10792 [1:07:55<06:19,  1.98it/s, loss=0.0528, rank=0.0221, reg=0.0308]
train epoch 1/1:  93%|█████████▎| 10041/10792 [1:07:55<05:42,  2.19it/s, loss=0.0528, rank=0.0221, reg=0.0308]
train epoch 1/1:  93%|█████████▎| 10041/10792 [1:07:56<05:42,  2.19it/s, loss=0.0462, rank=0.0283, reg=0.0179]
train epoch 1/1:  93%|█████████▎| 10042/10792 [1:07:56<05:56,  2.10it/s, loss=0.0462, rank=0.0283, reg=0.0179]
train epoch 1/1:  93%|█████████▎| 10042/10792 [1:07:56<05:56,  2.10it/s, loss=0.0920, rank=0.0631, reg=0.0289]
train epoch 1/1:  93%|█████████▎| 10043/10792 [1:07:56<05:09,  2.42it/s, loss=0.0920, rank=0.0631, reg=0.0289]
train epoch 1/1:  93%|█████████▎| 10043/10792 [1:07:56<05:09,  2.42it/s, loss=0.1242, rank=0.0848, reg=0.0394]
train epoch 1/1:  93%|█████████▎| 10044/10792 [1:07:56<04:17,  2.91it/s, loss=0.1242, rank=0.0848, reg=0.0394]
train epoch 1/1:  93%|█████████▎| 10044/10792 [1:07:57<04:17,  2.91it/s, loss=0.0890, rank=0.0538, reg=0.0352]
train epoch 1/1:  93%|█████████▎| 10045/10792 [1:07:57<04:17,  2.90it/s, loss=0.0890, rank=0.0538, reg=0.0352]
train epoch 1/1:  93%|█████████▎| 10045/10792 [1:07:57<04:17,  2.90it/s, loss=0.0401, rank=0.0133, reg=0.0268]
train epoch 1/1:  93%|█████████▎| 10046/10792 [1:07:57<05:38,  2.20it/s, loss=0.0401, rank=0.0133, reg=0.0268]
train epoch 1/1:  93%|█████████▎| 10046/10792 [1:07:58<05:38,  2.20it/s, loss=0.1591, rank=0.0853, reg=0.0738]
train epoch 1/1:  93%|█████████▎| 10047/10792 [1:07:58<04:50,  2.56it/s, loss=0.1591, rank=0.0853, reg=0.0738]
train epoch 1/1:  93%|█████████▎| 10047/10792 [1:07:58<04:50,  2.56it/s, loss=0.0432, rank=0.0221, reg=0.0211]
train epoch 1/1:  93%|█████████▎| 10048/10792 [1:07:58<04:38,  2.67it/s, loss=0.0432, rank=0.0221, reg=0.0211]
train epoch 1/1:  93%|█████████▎| 10048/10792 [1:07:58<04:38,  2.67it/s, loss=0.0376, rank=0.0243, reg=0.0133]
train epoch 1/1:  93%|█████████▎| 10049/10792 [1:07:58<04:11,  2.95it/s, loss=0.0376, rank=0.0243, reg=0.0133]
train epoch 1/1:  93%|█████████▎| 10049/10792 [1:07:58<04:11,  2.95it/s, loss=0.1370, rank=0.0892, reg=0.0478]
train epoch 1/1:  93%|█████████▎| 10050/10792 [1:07:58<03:35,  3.44it/s, loss=0.1370, rank=0.0892, reg=0.0478]
train epoch 1/1:  93%|█████████▎| 10050/10792 [1:07:59<03:35,  3.44it/s, loss=0.0247, rank=0.0133, reg=0.0114]
train epoch 1/1:  93%|█████████▎| 10051/10792 [1:07:59<06:42,  1.84it/s, loss=0.0247, rank=0.0133, reg=0.0114]
train epoch 1/1:  93%|█████████▎| 10051/10792 [1:08:00<06:42,  1.84it/s, loss=0.1111, rank=0.0255, reg=0.0856]
train epoch 1/1:  93%|█████████▎| 10052/10792 [1:08:00<07:32,  1.63it/s, loss=0.1111, rank=0.0255, reg=0.0856]
train epoch 1/1:  93%|█████████▎| 10052/10792 [1:08:01<07:32,  1.63it/s, loss=0.0936, rank=0.0608, reg=0.0329]
train epoch 1/1:  93%|█████████▎| 10053/10792 [1:08:01<06:51,  1.80it/s, loss=0.0936, rank=0.0608, reg=0.0329]
train epoch 1/1:  93%|█████████▎| 10053/10792 [1:08:01<06:51,  1.80it/s, loss=0.0684, rank=0.0387, reg=0.0297]
train epoch 1/1:  93%|█████████▎| 10054/10792 [1:08:01<06:05,  2.02it/s, loss=0.0684, rank=0.0387, reg=0.0297]
train epoch 1/1:  93%|█████████▎| 10054/10792 [1:08:01<06:05,  2.02it/s, loss=0.0441, rank=0.0114, reg=0.0328]
train epoch 1/1:  93%|█████████▎| 10055/10792 [1:08:01<05:48,  2.11it/s, loss=0.0441, rank=0.0114, reg=0.0328]
train epoch 1/1:  93%|█████████▎| 10055/10792 [1:08:02<05:48,  2.11it/s, loss=0.0236, rank=0.0046, reg=0.0189]
train epoch 1/1:  93%|█████████▎| 10056/10792 [1:08:02<06:09,  1.99it/s, loss=0.0236, rank=0.0046, reg=0.0189]
train epoch 1/1:  93%|█████████▎| 10056/10792 [1:08:03<06:09,  1.99it/s, loss=0.0359, rank=0.0118, reg=0.0241]
train epoch 1/1:  93%|█████████▎| 10057/10792 [1:08:03<06:22,  1.92it/s, loss=0.0359, rank=0.0118, reg=0.0241]
train epoch 1/1:  93%|█████████▎| 10057/10792 [1:08:03<06:22,  1.92it/s, loss=0.0434, rank=0.0322, reg=0.0112]
train epoch 1/1:  93%|█████████▎| 10058/10792 [1:08:03<07:05,  1.73it/s, loss=0.0434, rank=0.0322, reg=0.0112]
train epoch 1/1:  93%|█████████▎| 10058/10792 [1:08:03<07:05,  1.73it/s, loss=0.0346, rank=0.0006, reg=0.0341]
train epoch 1/1:  93%|█████████▎| 10059/10792 [1:08:03<05:47,  2.11it/s, loss=0.0346, rank=0.0006, reg=0.0341]
train epoch 1/1:  93%|█████████▎| 10059/10792 [1:08:04<05:47,  2.11it/s, loss=0.0993, rank=0.0634, reg=0.0359]
train epoch 1/1:  93%|█████████▎| 10060/10792 [1:08:04<05:33,  2.20it/s, loss=0.0993, rank=0.0634, reg=0.0359]
train epoch 1/1:  93%|█████████▎| 10060/10792 [1:08:04<05:33,  2.20it/s, loss=0.0800, rank=0.0564, reg=0.0236]
train epoch 1/1:  93%|█████████▎| 10061/10792 [1:08:04<04:52,  2.50it/s, loss=0.0800, rank=0.0564, reg=0.0236]
train epoch 1/1:  93%|█████████▎| 10061/10792 [1:08:05<04:52,  2.50it/s, loss=0.0429, rank=0.0265, reg=0.0164]
train epoch 1/1:  93%|█████████▎| 10062/10792 [1:08:05<04:52,  2.49it/s, loss=0.0429, rank=0.0265, reg=0.0164]
train epoch 1/1:  93%|█████████▎| 10062/10792 [1:08:05<04:52,  2.49it/s, loss=0.0432, rank=0.0238, reg=0.0194]
train epoch 1/1:  93%|█████████▎| 10063/10792 [1:08:05<03:50,  3.16it/s, loss=0.0432, rank=0.0238, reg=0.0194]
train epoch 1/1:  93%|█████████▎| 10063/10792 [1:08:05<03:50,  3.16it/s, loss=0.0873, rank=0.0499, reg=0.0373]
train epoch 1/1:  93%|█████████▎| 10064/10792 [1:08:05<03:40,  3.30it/s, loss=0.0873, rank=0.0499, reg=0.0373]
train epoch 1/1:  93%|█████████▎| 10064/10792 [1:08:05<03:40,  3.30it/s, loss=0.1212, rank=0.0971, reg=0.0241]
train epoch 1/1:  93%|█████████▎| 10065/10792 [1:08:05<03:17,  3.67it/s, loss=0.1212, rank=0.0971, reg=0.0241]
train epoch 1/1:  93%|█████████▎| 10065/10792 [1:08:06<03:17,  3.67it/s, loss=0.0525, rank=0.0367, reg=0.0158]
train epoch 1/1:  93%|█████████▎| 10066/10792 [1:08:06<05:48,  2.08it/s, loss=0.0525, rank=0.0367, reg=0.0158]
train epoch 1/1:  93%|█████████▎| 10066/10792 [1:08:06<05:48,  2.08it/s, loss=0.0665, rank=0.0262, reg=0.0403]
train epoch 1/1:  93%|█████████▎| 10067/10792 [1:08:06<04:43,  2.55it/s, loss=0.0665, rank=0.0262, reg=0.0403]
train epoch 1/1:  93%|█████████▎| 10067/10792 [1:08:07<04:43,  2.55it/s, loss=0.0399, rank=0.0145, reg=0.0254]
train epoch 1/1:  93%|█████████▎| 10068/10792 [1:08:07<05:57,  2.02it/s, loss=0.0399, rank=0.0145, reg=0.0254]
train epoch 1/1:  93%|█████████▎| 10068/10792 [1:08:07<05:57,  2.02it/s, loss=0.1397, rank=0.1134, reg=0.0263]
train epoch 1/1:  93%|█████████▎| 10069/10792 [1:08:07<04:51,  2.48it/s, loss=0.1397, rank=0.1134, reg=0.0263]
train epoch 1/1:  93%|█████████▎| 10069/10792 [1:08:08<04:51,  2.48it/s, loss=0.0607, rank=0.0447, reg=0.0160]
train epoch 1/1:  93%|█████████▎| 10070/10792 [1:08:08<06:48,  1.77it/s, loss=0.0607, rank=0.0447, reg=0.0160]
train epoch 1/1:  93%|█████████▎| 10070/10792 [1:08:09<06:48,  1.77it/s, loss=0.0547, rank=0.0372, reg=0.0176]
train epoch 1/1:  93%|█████████▎| 10071/10792 [1:08:09<06:01,  1.99it/s, loss=0.0547, rank=0.0372, reg=0.0176]
train epoch 1/1:  93%|█████████▎| 10071/10792 [1:08:09<06:01,  1.99it/s, loss=0.0633, rank=0.0465, reg=0.0168]
train epoch 1/1:  93%|█████████▎| 10072/10792 [1:08:09<04:55,  2.44it/s, loss=0.0633, rank=0.0465, reg=0.0168]
train epoch 1/1:  93%|█████████▎| 10072/10792 [1:08:09<04:55,  2.44it/s, loss=0.0416, rank=0.0293, reg=0.0122]
train epoch 1/1:  93%|█████████▎| 10073/10792 [1:08:09<04:13,  2.83it/s, loss=0.0416, rank=0.0293, reg=0.0122]
train epoch 1/1:  93%|█████████▎| 10073/10792 [1:08:09<04:13,  2.83it/s, loss=0.0702, rank=0.0488, reg=0.0214]
train epoch 1/1:  93%|█████████▎| 10074/10792 [1:08:09<03:55,  3.05it/s, loss=0.0702, rank=0.0488, reg=0.0214]
train epoch 1/1:  93%|█████████▎| 10074/10792 [1:08:10<03:55,  3.05it/s, loss=0.0779, rank=0.0577, reg=0.0202]
train epoch 1/1:  93%|█████████▎| 10075/10792 [1:08:10<03:55,  3.05it/s, loss=0.0779, rank=0.0577, reg=0.0202]
train epoch 1/1:  93%|█████████▎| 10075/10792 [1:08:10<03:55,  3.05it/s, loss=0.1888, rank=0.0764, reg=0.1124]
train epoch 1/1:  93%|█████████▎| 10076/10792 [1:08:10<04:00,  2.98it/s, loss=0.1888, rank=0.0764, reg=0.1124]
train epoch 1/1:  93%|█████████▎| 10076/10792 [1:08:10<04:00,  2.98it/s, loss=0.0730, rank=0.0396, reg=0.0334]
train epoch 1/1:  93%|█████████▎| 10077/10792 [1:08:10<03:35,  3.33it/s, loss=0.0730, rank=0.0396, reg=0.0334]
train epoch 1/1:  93%|█████████▎| 10077/10792 [1:08:10<03:35,  3.33it/s, loss=0.0725, rank=0.0581, reg=0.0144]
train epoch 1/1:  93%|█████████▎| 10078/10792 [1:08:10<03:08,  3.78it/s, loss=0.0725, rank=0.0581, reg=0.0144]
train epoch 1/1:  93%|█████████▎| 10078/10792 [1:08:11<03:08,  3.78it/s, loss=0.0757, rank=0.0222, reg=0.0535]
train epoch 1/1:  93%|█████████▎| 10079/10792 [1:08:11<05:01,  2.37it/s, loss=0.0757, rank=0.0222, reg=0.0535]
train epoch 1/1:  93%|█████████▎| 10079/10792 [1:08:11<05:01,  2.37it/s, loss=0.0666, rank=0.0466, reg=0.0199]
train epoch 1/1:  93%|█████████▎| 10080/10792 [1:08:11<04:08,  2.86it/s, loss=0.0666, rank=0.0466, reg=0.0199]
train epoch 1/1:  93%|█████████▎| 10080/10792 [1:08:11<04:08,  2.86it/s, loss=0.0797, rank=0.0470, reg=0.0327]
train epoch 1/1:  93%|█████████▎| 10081/10792 [1:08:11<03:20,  3.54it/s, loss=0.0797, rank=0.0470, reg=0.0327]
train epoch 1/1:  93%|█████████▎| 10081/10792 [1:08:12<03:20,  3.54it/s, loss=0.0423, rank=0.0122, reg=0.0301]
train epoch 1/1:  93%|█████████▎| 10082/10792 [1:08:12<05:09,  2.29it/s, loss=0.0423, rank=0.0122, reg=0.0301]
train epoch 1/1:  93%|█████████▎| 10082/10792 [1:08:12<05:09,  2.29it/s, loss=0.0678, rank=0.0509, reg=0.0169]
train epoch 1/1:  93%|█████████▎| 10083/10792 [1:08:12<04:06,  2.88it/s, loss=0.0678, rank=0.0509, reg=0.0169]
train epoch 1/1:  93%|█████████▎| 10083/10792 [1:08:13<04:06,  2.88it/s, loss=0.0455, rank=0.0329, reg=0.0126]
train epoch 1/1:  93%|█████████▎| 10084/10792 [1:08:13<04:57,  2.38it/s, loss=0.0455, rank=0.0329, reg=0.0126]
train epoch 1/1:  93%|█████████▎| 10084/10792 [1:08:13<04:57,  2.38it/s, loss=0.1507, rank=0.1076, reg=0.0432]
train epoch 1/1:  93%|█████████▎| 10085/10792 [1:08:13<04:41,  2.52it/s, loss=0.1507, rank=0.1076, reg=0.0432]
train epoch 1/1:  93%|█████████▎| 10085/10792 [1:08:14<04:41,  2.52it/s, loss=0.0864, rank=0.0503, reg=0.0361]
train epoch 1/1:  93%|█████████▎| 10086/10792 [1:08:14<04:21,  2.70it/s, loss=0.0864, rank=0.0503, reg=0.0361]
train epoch 1/1:  93%|█████████▎| 10086/10792 [1:08:14<04:21,  2.70it/s, loss=0.0583, rank=0.0244, reg=0.0339]
train epoch 1/1:  93%|█████████▎| 10087/10792 [1:08:14<06:18,  1.86it/s, loss=0.0583, rank=0.0244, reg=0.0339]
train epoch 1/1:  93%|█████████▎| 10087/10792 [1:08:15<06:18,  1.86it/s, loss=0.0555, rank=0.0409, reg=0.0145]
train epoch 1/1:  93%|█████████▎| 10088/10792 [1:08:15<06:15,  1.88it/s, loss=0.0555, rank=0.0409, reg=0.0145]
train epoch 1/1:  93%|█████████▎| 10088/10792 [1:08:15<06:15,  1.88it/s, loss=0.0897, rank=0.0476, reg=0.0422]
train epoch 1/1:  93%|█████████▎| 10089/10792 [1:08:15<05:00,  2.34it/s, loss=0.0897, rank=0.0476, reg=0.0422]
train epoch 1/1:  93%|█████████▎| 10089/10792 [1:08:16<05:00,  2.34it/s, loss=0.0730, rank=0.0616, reg=0.0114]
train epoch 1/1:  93%|█████████▎| 10090/10792 [1:08:16<04:44,  2.46it/s, loss=0.0730, rank=0.0616, reg=0.0114]
train epoch 1/1:  93%|█████████▎| 10090/10792 [1:08:16<04:44,  2.46it/s, loss=0.0829, rank=0.0324, reg=0.0505]
train epoch 1/1:  94%|█████████▎| 10091/10792 [1:08:16<03:48,  3.07it/s, loss=0.0829, rank=0.0324, reg=0.0505]
train epoch 1/1:  94%|█████████▎| 10091/10792 [1:08:16<03:48,  3.07it/s, loss=0.0300, rank=0.0124, reg=0.0176]
train epoch 1/1:  94%|█████████▎| 10092/10792 [1:08:16<04:23,  2.66it/s, loss=0.0300, rank=0.0124, reg=0.0176]
train epoch 1/1:  94%|█████████▎| 10092/10792 [1:08:16<04:23,  2.66it/s, loss=0.1623, rank=0.0676, reg=0.0947]
train epoch 1/1:  94%|█████████▎| 10093/10792 [1:08:16<03:45,  3.10it/s, loss=0.1623, rank=0.0676, reg=0.0947]
train epoch 1/1:  94%|█████████▎| 10093/10792 [1:08:17<03:45,  3.10it/s, loss=0.0386, rank=0.0274, reg=0.0113]
train epoch 1/1:  94%|█████████▎| 10094/10792 [1:08:17<05:09,  2.26it/s, loss=0.0386, rank=0.0274, reg=0.0113]
train epoch 1/1:  94%|█████████▎| 10094/10792 [1:08:17<05:09,  2.26it/s, loss=0.0545, rank=0.0248, reg=0.0297]
train epoch 1/1:  94%|█████████▎| 10095/10792 [1:08:17<04:25,  2.63it/s, loss=0.0545, rank=0.0248, reg=0.0297]
train epoch 1/1:  94%|█████████▎| 10095/10792 [1:08:18<04:25,  2.63it/s, loss=0.2114, rank=0.0172, reg=0.1942]
train epoch 1/1:  94%|█████████▎| 10096/10792 [1:08:18<05:41,  2.04it/s, loss=0.2114, rank=0.0172, reg=0.1942]
train epoch 1/1:  94%|█████████▎| 10096/10792 [1:08:18<05:41,  2.04it/s, loss=0.0811, rank=0.0327, reg=0.0484]
train epoch 1/1:  94%|█████████▎| 10097/10792 [1:08:18<04:47,  2.42it/s, loss=0.0811, rank=0.0327, reg=0.0484]
train epoch 1/1:  94%|█████████▎| 10097/10792 [1:08:19<04:47,  2.42it/s, loss=0.1048, rank=0.0617, reg=0.0431]
train epoch 1/1:  94%|█████████▎| 10098/10792 [1:08:19<04:37,  2.50it/s, loss=0.1048, rank=0.0617, reg=0.0431]
train epoch 1/1:  94%|█████████▎| 10098/10792 [1:08:19<04:37,  2.50it/s, loss=0.1036, rank=0.0663, reg=0.0374]
train epoch 1/1:  94%|█████████▎| 10099/10792 [1:08:19<04:17,  2.69it/s, loss=0.1036, rank=0.0663, reg=0.0374]
train epoch 1/1:  94%|█████████▎| 10099/10792 [1:08:20<04:17,  2.69it/s, loss=0.1048, rank=0.0261, reg=0.0787]
train epoch 1/1:  94%|█████████▎| 10100/10792 [1:08:20<05:56,  1.94it/s, loss=0.1048, rank=0.0261, reg=0.0787]
train epoch 1/1:  94%|█████████▎| 10100/10792 [1:08:20<05:56,  1.94it/s, loss=0.0740, rank=0.0532, reg=0.0208]
train epoch 1/1:  94%|█████████▎| 10101/10792 [1:08:20<05:16,  2.19it/s, loss=0.0740, rank=0.0532, reg=0.0208]
train epoch 1/1:  94%|█████████▎| 10101/10792 [1:08:20<05:16,  2.19it/s, loss=0.0900, rank=0.0571, reg=0.0329]
train epoch 1/1:  94%|█████████▎| 10102/10792 [1:08:20<04:27,  2.58it/s, loss=0.0900, rank=0.0571, reg=0.0329]
train epoch 1/1:  94%|█████████▎| 10102/10792 [1:08:21<04:27,  2.58it/s, loss=0.1057, rank=0.0619, reg=0.0438]
train epoch 1/1:  94%|█████████▎| 10103/10792 [1:08:21<05:17,  2.17it/s, loss=0.1057, rank=0.0619, reg=0.0438]
train epoch 1/1:  94%|█████████▎| 10103/10792 [1:08:21<05:17,  2.17it/s, loss=0.0612, rank=0.0308, reg=0.0304]
train epoch 1/1:  94%|█████████▎| 10104/10792 [1:08:21<04:33,  2.52it/s, loss=0.0612, rank=0.0308, reg=0.0304]
train epoch 1/1:  94%|█████████▎| 10104/10792 [1:08:22<04:33,  2.52it/s, loss=0.2258, rank=0.1144, reg=0.1114]
train epoch 1/1:  94%|█████████▎| 10105/10792 [1:08:22<05:44,  1.99it/s, loss=0.2258, rank=0.1144, reg=0.1114]
train epoch 1/1:  94%|█████████▎| 10105/10792 [1:08:22<05:44,  1.99it/s, loss=0.1100, rank=0.0178, reg=0.0923]
train epoch 1/1:  94%|█████████▎| 10106/10792 [1:08:22<04:47,  2.39it/s, loss=0.1100, rank=0.0178, reg=0.0923]
train epoch 1/1:  94%|█████████▎| 10106/10792 [1:08:23<04:47,  2.39it/s, loss=0.0740, rank=0.0618, reg=0.0122]
train epoch 1/1:  94%|█████████▎| 10107/10792 [1:08:23<04:25,  2.58it/s, loss=0.0740, rank=0.0618, reg=0.0122]
train epoch 1/1:  94%|█████████▎| 10107/10792 [1:08:23<04:25,  2.58it/s, loss=0.0846, rank=0.0390, reg=0.0456]
train epoch 1/1:  94%|█████████▎| 10108/10792 [1:08:23<04:36,  2.47it/s, loss=0.0846, rank=0.0390, reg=0.0456]
train epoch 1/1:  94%|█████████▎| 10108/10792 [1:08:23<04:36,  2.47it/s, loss=0.2114, rank=0.0590, reg=0.1524]
train epoch 1/1:  94%|█████████▎| 10109/10792 [1:08:23<04:41,  2.43it/s, loss=0.2114, rank=0.0590, reg=0.1524]
train epoch 1/1:  94%|█████████▎| 10109/10792 [1:08:24<04:41,  2.43it/s, loss=0.0807, rank=0.0235, reg=0.0572]
train epoch 1/1:  94%|█████████▎| 10110/10792 [1:08:24<05:55,  1.92it/s, loss=0.0807, rank=0.0235, reg=0.0572]
train epoch 1/1:  94%|█████████▎| 10110/10792 [1:08:25<05:55,  1.92it/s, loss=0.0855, rank=0.0423, reg=0.0432]
train epoch 1/1:  94%|█████████▎| 10111/10792 [1:08:25<05:32,  2.05it/s, loss=0.0855, rank=0.0423, reg=0.0432]
train epoch 1/1:  94%|█████████▎| 10111/10792 [1:08:25<05:32,  2.05it/s, loss=0.1884, rank=0.0263, reg=0.1621]
train epoch 1/1:  94%|█████████▎| 10112/10792 [1:08:25<05:00,  2.26it/s, loss=0.1884, rank=0.0263, reg=0.1621]
train epoch 1/1:  94%|█████████▎| 10112/10792 [1:08:25<05:00,  2.26it/s, loss=0.0933, rank=0.0685, reg=0.0248]
train epoch 1/1:  94%|█████████▎| 10113/10792 [1:08:25<04:03,  2.79it/s, loss=0.0933, rank=0.0685, reg=0.0248]
train epoch 1/1:  94%|█████████▎| 10113/10792 [1:08:25<04:03,  2.79it/s, loss=0.1309, rank=0.0784, reg=0.0525]
train epoch 1/1:  94%|█████████▎| 10114/10792 [1:08:25<03:11,  3.54it/s, loss=0.1309, rank=0.0784, reg=0.0525]
train epoch 1/1:  94%|█████████▎| 10114/10792 [1:08:25<03:11,  3.54it/s, loss=0.0766, rank=0.0410, reg=0.0356]
train epoch 1/1:  94%|█████████▎| 10115/10792 [1:08:25<03:00,  3.75it/s, loss=0.0766, rank=0.0410, reg=0.0356]
train epoch 1/1:  94%|█████████▎| 10115/10792 [1:08:26<03:00,  3.75it/s, loss=0.0561, rank=0.0443, reg=0.0117]
train epoch 1/1:  94%|█████████▎| 10116/10792 [1:08:26<02:53,  3.90it/s, loss=0.0561, rank=0.0443, reg=0.0117]
train epoch 1/1:  94%|█████████▎| 10116/10792 [1:08:26<02:53,  3.90it/s, loss=0.0514, rank=0.0388, reg=0.0125]
train epoch 1/1:  94%|█████████▎| 10117/10792 [1:08:26<02:43,  4.13it/s, loss=0.0514, rank=0.0388, reg=0.0125]
train epoch 1/1:  94%|█████████▎| 10117/10792 [1:08:26<02:43,  4.13it/s, loss=0.0913, rank=0.0378, reg=0.0535]
train epoch 1/1:  94%|█████████▍| 10118/10792 [1:08:26<02:40,  4.21it/s, loss=0.0913, rank=0.0378, reg=0.0535]
train epoch 1/1:  94%|█████████▍| 10118/10792 [1:08:26<02:40,  4.21it/s, loss=0.1002, rank=0.0448, reg=0.0553]
train epoch 1/1:  94%|█████████▍| 10119/10792 [1:08:26<03:03,  3.66it/s, loss=0.1002, rank=0.0448, reg=0.0553]
train epoch 1/1:  94%|█████████▍| 10119/10792 [1:08:27<03:03,  3.66it/s, loss=0.0749, rank=0.0282, reg=0.0467]
train epoch 1/1:  94%|█████████▍| 10120/10792 [1:08:27<03:34,  3.14it/s, loss=0.0749, rank=0.0282, reg=0.0467]
train epoch 1/1:  94%|█████████▍| 10120/10792 [1:08:27<03:34,  3.14it/s, loss=0.0538, rank=0.0196, reg=0.0342]
train epoch 1/1:  94%|█████████▍| 10121/10792 [1:08:27<04:19,  2.59it/s, loss=0.0538, rank=0.0196, reg=0.0342]
train epoch 1/1:  94%|█████████▍| 10121/10792 [1:08:28<04:19,  2.59it/s, loss=0.0703, rank=0.0471, reg=0.0232]
train epoch 1/1:  94%|█████████▍| 10122/10792 [1:08:28<03:31,  3.16it/s, loss=0.0703, rank=0.0471, reg=0.0232]
train epoch 1/1:  94%|█████████▍| 10122/10792 [1:08:28<03:31,  3.16it/s, loss=0.0740, rank=0.0338, reg=0.0402]
train epoch 1/1:  94%|█████████▍| 10123/10792 [1:08:28<03:21,  3.32it/s, loss=0.0740, rank=0.0338, reg=0.0402]
train epoch 1/1:  94%|█████████▍| 10123/10792 [1:08:29<03:21,  3.32it/s, loss=0.0359, rank=0.0294, reg=0.0065]
train epoch 1/1:  94%|█████████▍| 10124/10792 [1:08:29<04:48,  2.32it/s, loss=0.0359, rank=0.0294, reg=0.0065]
train epoch 1/1:  94%|█████████▍| 10124/10792 [1:08:29<04:48,  2.32it/s, loss=0.0144, rank=0.0041, reg=0.0103]
train epoch 1/1:  94%|█████████▍| 10125/10792 [1:08:29<05:51,  1.89it/s, loss=0.0144, rank=0.0041, reg=0.0103]
train epoch 1/1:  94%|█████████▍| 10125/10792 [1:08:30<05:51,  1.89it/s, loss=0.0251, rank=0.0127, reg=0.0124]
train epoch 1/1:  94%|█████████▍| 10126/10792 [1:08:30<05:09,  2.15it/s, loss=0.0251, rank=0.0127, reg=0.0124]
train epoch 1/1:  94%|█████████▍| 10126/10792 [1:08:30<05:09,  2.15it/s, loss=0.0249, rank=0.0122, reg=0.0128]
train epoch 1/1:  94%|█████████▍| 10127/10792 [1:08:30<04:08,  2.67it/s, loss=0.0249, rank=0.0122, reg=0.0128]
train epoch 1/1:  94%|█████████▍| 10127/10792 [1:08:31<04:08,  2.67it/s, loss=0.2891, rank=0.0413, reg=0.2478]
train epoch 1/1:  94%|█████████▍| 10128/10792 [1:08:31<05:40,  1.95it/s, loss=0.2891, rank=0.0413, reg=0.2478]
train epoch 1/1:  94%|█████████▍| 10128/10792 [1:08:32<05:40,  1.95it/s, loss=0.1208, rank=0.0330, reg=0.0878]
train epoch 1/1:  94%|█████████▍| 10129/10792 [1:08:32<08:23,  1.32it/s, loss=0.1208, rank=0.0330, reg=0.0878]
train epoch 1/1:  94%|█████████▍| 10129/10792 [1:08:32<08:23,  1.32it/s, loss=0.0319, rank=0.0119, reg=0.0200]
train epoch 1/1:  94%|█████████▍| 10130/10792 [1:08:32<07:03,  1.56it/s, loss=0.0319, rank=0.0119, reg=0.0200]
train epoch 1/1:  94%|█████████▍| 10130/10792 [1:08:33<07:03,  1.56it/s, loss=0.0848, rank=0.0011, reg=0.0837]
train epoch 1/1:  94%|█████████▍| 10131/10792 [1:08:33<06:31,  1.69it/s, loss=0.0848, rank=0.0011, reg=0.0837]
train epoch 1/1:  94%|█████████▍| 10131/10792 [1:08:33<06:31,  1.69it/s, loss=0.0376, rank=0.0240, reg=0.0137]
train epoch 1/1:  94%|█████████▍| 10132/10792 [1:08:33<05:24,  2.03it/s, loss=0.0376, rank=0.0240, reg=0.0137]
train epoch 1/1:  94%|█████████▍| 10132/10792 [1:08:34<05:24,  2.03it/s, loss=0.0460, rank=0.0219, reg=0.0241]
train epoch 1/1:  94%|█████████▍| 10133/10792 [1:08:34<05:06,  2.15it/s, loss=0.0460, rank=0.0219, reg=0.0241]
train epoch 1/1:  94%|█████████▍| 10133/10792 [1:08:34<05:06,  2.15it/s, loss=0.0889, rank=0.0481, reg=0.0408]
train epoch 1/1:  94%|█████████▍| 10134/10792 [1:08:34<04:24,  2.49it/s, loss=0.0889, rank=0.0481, reg=0.0408]
train epoch 1/1:  94%|█████████▍| 10134/10792 [1:08:34<04:24,  2.49it/s, loss=0.0298, rank=0.0230, reg=0.0068]
train epoch 1/1:  94%|█████████▍| 10135/10792 [1:08:34<03:52,  2.83it/s, loss=0.0298, rank=0.0230, reg=0.0068]
train epoch 1/1:  94%|█████████▍| 10135/10792 [1:08:34<03:52,  2.83it/s, loss=0.0822, rank=0.0498, reg=0.0324]
train epoch 1/1:  94%|█████████▍| 10136/10792 [1:08:34<03:19,  3.29it/s, loss=0.0822, rank=0.0498, reg=0.0324]
train epoch 1/1:  94%|█████████▍| 10136/10792 [1:08:35<03:19,  3.29it/s, loss=0.0243, rank=0.0135, reg=0.0108]
train epoch 1/1:  94%|█████████▍| 10137/10792 [1:08:35<03:35,  3.04it/s, loss=0.0243, rank=0.0135, reg=0.0108]
train epoch 1/1:  94%|█████████▍| 10137/10792 [1:08:35<03:35,  3.04it/s, loss=0.1048, rank=0.0403, reg=0.0645]
train epoch 1/1:  94%|█████████▍| 10138/10792 [1:08:35<03:26,  3.17it/s, loss=0.1048, rank=0.0403, reg=0.0645]
train epoch 1/1:  94%|█████████▍| 10138/10792 [1:08:35<03:26,  3.17it/s, loss=0.0744, rank=0.0556, reg=0.0187]
train epoch 1/1:  94%|█████████▍| 10139/10792 [1:08:35<03:49,  2.84it/s, loss=0.0744, rank=0.0556, reg=0.0187]
train epoch 1/1:  94%|█████████▍| 10139/10792 [1:08:36<03:49,  2.84it/s, loss=0.0595, rank=0.0303, reg=0.0291]
train epoch 1/1:  94%|█████████▍| 10140/10792 [1:08:36<04:38,  2.34it/s, loss=0.0595, rank=0.0303, reg=0.0291]
train epoch 1/1:  94%|█████████▍| 10140/10792 [1:08:36<04:38,  2.34it/s, loss=0.0675, rank=0.0249, reg=0.0425]
train epoch 1/1:  94%|█████████▍| 10141/10792 [1:08:36<03:41,  2.94it/s, loss=0.0675, rank=0.0249, reg=0.0425]
train epoch 1/1:  94%|█████████▍| 10141/10792 [1:08:36<03:41,  2.94it/s, loss=0.1508, rank=0.0490, reg=0.1018]
train epoch 1/1:  94%|█████████▍| 10142/10792 [1:08:36<03:23,  3.19it/s, loss=0.1508, rank=0.0490, reg=0.1018]
train epoch 1/1:  94%|█████████▍| 10142/10792 [1:08:37<03:23,  3.19it/s, loss=0.1078, rank=0.0717, reg=0.0361]
train epoch 1/1:  94%|█████████▍| 10143/10792 [1:08:37<04:52,  2.22it/s, loss=0.1078, rank=0.0717, reg=0.0361]
train epoch 1/1:  94%|█████████▍| 10143/10792 [1:08:37<04:52,  2.22it/s, loss=0.0607, rank=0.0405, reg=0.0201]
train epoch 1/1:  94%|█████████▍| 10144/10792 [1:08:37<04:04,  2.65it/s, loss=0.0607, rank=0.0405, reg=0.0201]
train epoch 1/1:  94%|█████████▍| 10144/10792 [1:08:38<04:04,  2.65it/s, loss=0.2020, rank=0.0462, reg=0.1559]
train epoch 1/1:  94%|█████████▍| 10145/10792 [1:08:38<03:45,  2.87it/s, loss=0.2020, rank=0.0462, reg=0.1559]
train epoch 1/1:  94%|█████████▍| 10145/10792 [1:08:38<03:45,  2.87it/s, loss=0.0925, rank=0.0504, reg=0.0421]
train epoch 1/1:  94%|█████████▍| 10146/10792 [1:08:38<03:36,  2.99it/s, loss=0.0925, rank=0.0504, reg=0.0421]
train epoch 1/1:  94%|█████████▍| 10146/10792 [1:08:38<03:36,  2.99it/s, loss=0.0790, rank=0.0688, reg=0.0103]
train epoch 1/1:  94%|█████████▍| 10147/10792 [1:08:38<04:05,  2.63it/s, loss=0.0790, rank=0.0688, reg=0.0103]
train epoch 1/1:  94%|█████████▍| 10147/10792 [1:08:39<04:05,  2.63it/s, loss=0.1655, rank=0.0344, reg=0.1311]
train epoch 1/1:  94%|█████████▍| 10148/10792 [1:08:39<03:48,  2.82it/s, loss=0.1655, rank=0.0344, reg=0.1311]
train epoch 1/1:  94%|█████████▍| 10148/10792 [1:08:39<03:48,  2.82it/s, loss=0.0953, rank=0.0626, reg=0.0328]
train epoch 1/1:  94%|█████████▍| 10149/10792 [1:08:39<04:15,  2.51it/s, loss=0.0953, rank=0.0626, reg=0.0328]
train epoch 1/1:  94%|█████████▍| 10149/10792 [1:08:40<04:15,  2.51it/s, loss=0.0506, rank=0.0241, reg=0.0264]
train epoch 1/1:  94%|█████████▍| 10150/10792 [1:08:40<04:08,  2.59it/s, loss=0.0506, rank=0.0241, reg=0.0264]
train epoch 1/1:  94%|█████████▍| 10150/10792 [1:08:40<04:08,  2.59it/s, loss=0.1535, rank=0.1001, reg=0.0534]
train epoch 1/1:  94%|█████████▍| 10151/10792 [1:08:40<04:29,  2.37it/s, loss=0.1535, rank=0.1001, reg=0.0534]
train epoch 1/1:  94%|█████████▍| 10151/10792 [1:08:40<04:29,  2.37it/s, loss=0.1363, rank=0.0595, reg=0.0768]
train epoch 1/1:  94%|█████████▍| 10152/10792 [1:08:40<03:48,  2.80it/s, loss=0.1363, rank=0.0595, reg=0.0768]
train epoch 1/1:  94%|█████████▍| 10152/10792 [1:08:41<03:48,  2.80it/s, loss=0.0741, rank=0.0667, reg=0.0074]
train epoch 1/1:  94%|█████████▍| 10153/10792 [1:08:41<04:37,  2.30it/s, loss=0.0741, rank=0.0667, reg=0.0074]
train epoch 1/1:  94%|█████████▍| 10153/10792 [1:08:41<04:37,  2.30it/s, loss=0.0654, rank=0.0417, reg=0.0238]
train epoch 1/1:  94%|█████████▍| 10154/10792 [1:08:41<04:23,  2.42it/s, loss=0.0654, rank=0.0417, reg=0.0238]
train epoch 1/1:  94%|█████████▍| 10154/10792 [1:08:41<04:23,  2.42it/s, loss=0.0724, rank=0.0461, reg=0.0263]
train epoch 1/1:  94%|█████████▍| 10155/10792 [1:08:41<03:41,  2.87it/s, loss=0.0724, rank=0.0461, reg=0.0263]
train epoch 1/1:  94%|█████████▍| 10155/10792 [1:08:42<03:41,  2.87it/s, loss=0.0785, rank=0.0727, reg=0.0058]
train epoch 1/1:  94%|█████████▍| 10156/10792 [1:08:42<03:04,  3.45it/s, loss=0.0785, rank=0.0727, reg=0.0058]
train epoch 1/1:  94%|█████████▍| 10156/10792 [1:08:42<03:04,  3.45it/s, loss=0.0777, rank=0.0354, reg=0.0423]
train epoch 1/1:  94%|█████████▍| 10157/10792 [1:08:42<03:18,  3.20it/s, loss=0.0777, rank=0.0354, reg=0.0423]
train epoch 1/1:  94%|█████████▍| 10157/10792 [1:08:43<03:18,  3.20it/s, loss=0.1085, rank=0.0363, reg=0.0722]
train epoch 1/1:  94%|█████████▍| 10158/10792 [1:08:43<04:48,  2.20it/s, loss=0.1085, rank=0.0363, reg=0.0722]
train epoch 1/1:  94%|█████████▍| 10158/10792 [1:08:43<04:48,  2.20it/s, loss=0.1078, rank=0.0482, reg=0.0596]
train epoch 1/1:  94%|█████████▍| 10159/10792 [1:08:43<04:05,  2.58it/s, loss=0.1078, rank=0.0482, reg=0.0596]
train epoch 1/1:  94%|█████████▍| 10159/10792 [1:08:44<04:05,  2.58it/s, loss=0.0570, rank=0.0404, reg=0.0167]
train epoch 1/1:  94%|█████████▍| 10160/10792 [1:08:44<04:45,  2.21it/s, loss=0.0570, rank=0.0404, reg=0.0167]
train epoch 1/1:  94%|█████████▍| 10160/10792 [1:08:44<04:45,  2.21it/s, loss=0.0203, rank=0.0059, reg=0.0144]
train epoch 1/1:  94%|█████████▍| 10161/10792 [1:08:44<04:58,  2.11it/s, loss=0.0203, rank=0.0059, reg=0.0144]
train epoch 1/1:  94%|█████████▍| 10161/10792 [1:08:44<04:58,  2.11it/s, loss=0.0789, rank=0.0383, reg=0.0406]
train epoch 1/1:  94%|█████████▍| 10162/10792 [1:08:44<04:17,  2.45it/s, loss=0.0789, rank=0.0383, reg=0.0406]
train epoch 1/1:  94%|█████████▍| 10162/10792 [1:08:45<04:17,  2.45it/s, loss=0.1181, rank=0.1061, reg=0.0120]
train epoch 1/1:  94%|█████████▍| 10163/10792 [1:08:45<04:11,  2.50it/s, loss=0.1181, rank=0.1061, reg=0.0120]
train epoch 1/1:  94%|█████████▍| 10163/10792 [1:08:45<04:11,  2.50it/s, loss=0.0957, rank=0.0283, reg=0.0674]
train epoch 1/1:  94%|█████████▍| 10164/10792 [1:08:45<04:44,  2.21it/s, loss=0.0957, rank=0.0283, reg=0.0674]
train epoch 1/1:  94%|█████████▍| 10164/10792 [1:08:46<04:44,  2.21it/s, loss=0.0986, rank=0.0520, reg=0.0465]
train epoch 1/1:  94%|█████████▍| 10165/10792 [1:08:46<04:08,  2.52it/s, loss=0.0986, rank=0.0520, reg=0.0465]
train epoch 1/1:  94%|█████████▍| 10165/10792 [1:08:46<04:08,  2.52it/s, loss=0.0637, rank=0.0249, reg=0.0388]
train epoch 1/1:  94%|█████████▍| 10166/10792 [1:08:46<04:11,  2.49it/s, loss=0.0637, rank=0.0249, reg=0.0388]
train epoch 1/1:  94%|█████████▍| 10166/10792 [1:08:47<04:11,  2.49it/s, loss=0.0592, rank=0.0444, reg=0.0148]
train epoch 1/1:  94%|█████████▍| 10167/10792 [1:08:47<05:05,  2.04it/s, loss=0.0592, rank=0.0444, reg=0.0148]
train epoch 1/1:  94%|█████████▍| 10167/10792 [1:08:47<05:05,  2.04it/s, loss=0.0604, rank=0.0247, reg=0.0357]
train epoch 1/1:  94%|█████████▍| 10168/10792 [1:08:47<04:39,  2.24it/s, loss=0.0604, rank=0.0247, reg=0.0357]
train epoch 1/1:  94%|█████████▍| 10168/10792 [1:08:47<04:39,  2.24it/s, loss=0.0500, rank=0.0292, reg=0.0208]
train epoch 1/1:  94%|█████████▍| 10169/10792 [1:08:47<03:53,  2.67it/s, loss=0.0500, rank=0.0292, reg=0.0208]
train epoch 1/1:  94%|█████████▍| 10169/10792 [1:08:48<03:53,  2.67it/s, loss=0.0875, rank=0.0376, reg=0.0498]
train epoch 1/1:  94%|█████████▍| 10170/10792 [1:08:48<04:23,  2.36it/s, loss=0.0875, rank=0.0376, reg=0.0498]
train epoch 1/1:  94%|█████████▍| 10170/10792 [1:08:48<04:23,  2.36it/s, loss=0.0674, rank=0.0494, reg=0.0180]
train epoch 1/1:  94%|█████████▍| 10171/10792 [1:08:48<03:39,  2.82it/s, loss=0.0674, rank=0.0494, reg=0.0180]
train epoch 1/1:  94%|█████████▍| 10171/10792 [1:08:48<03:39,  2.82it/s, loss=0.0488, rank=0.0346, reg=0.0142]
train epoch 1/1:  94%|█████████▍| 10172/10792 [1:08:48<03:40,  2.81it/s, loss=0.0488, rank=0.0346, reg=0.0142]
train epoch 1/1:  94%|█████████▍| 10172/10792 [1:08:49<03:40,  2.81it/s, loss=0.1086, rank=0.0544, reg=0.0543]
train epoch 1/1:  94%|█████████▍| 10173/10792 [1:08:49<03:39,  2.82it/s, loss=0.1086, rank=0.0544, reg=0.0543]
train epoch 1/1:  94%|█████████▍| 10173/10792 [1:08:49<03:39,  2.82it/s, loss=0.0656, rank=0.0488, reg=0.0168]
train epoch 1/1:  94%|█████████▍| 10174/10792 [1:08:49<03:22,  3.05it/s, loss=0.0656, rank=0.0488, reg=0.0168]
train epoch 1/1:  94%|█████████▍| 10174/10792 [1:08:49<03:22,  3.05it/s, loss=0.0245, rank=0.0125, reg=0.0120]
train epoch 1/1:  94%|█████████▍| 10175/10792 [1:08:49<03:43,  2.75it/s, loss=0.0245, rank=0.0125, reg=0.0120]
train epoch 1/1:  94%|█████████▍| 10175/10792 [1:08:50<03:43,  2.75it/s, loss=0.0562, rank=0.0244, reg=0.0318]
train epoch 1/1:  94%|█████████▍| 10176/10792 [1:08:50<04:37,  2.22it/s, loss=0.0562, rank=0.0244, reg=0.0318]
train epoch 1/1:  94%|█████████▍| 10176/10792 [1:08:50<04:37,  2.22it/s, loss=0.0665, rank=0.0552, reg=0.0114]
train epoch 1/1:  94%|█████████▍| 10177/10792 [1:08:50<04:30,  2.27it/s, loss=0.0665, rank=0.0552, reg=0.0114]
train epoch 1/1:  94%|█████████▍| 10177/10792 [1:08:51<04:30,  2.27it/s, loss=0.2101, rank=0.0514, reg=0.1587]
train epoch 1/1:  94%|█████████▍| 10178/10792 [1:08:51<05:09,  1.98it/s, loss=0.2101, rank=0.0514, reg=0.1587]
train epoch 1/1:  94%|█████████▍| 10178/10792 [1:08:51<05:09,  1.98it/s, loss=0.1014, rank=0.0675, reg=0.0338]
train epoch 1/1:  94%|█████████▍| 10179/10792 [1:08:51<04:17,  2.38it/s, loss=0.1014, rank=0.0675, reg=0.0338]
train epoch 1/1:  94%|█████████▍| 10179/10792 [1:08:52<04:17,  2.38it/s, loss=0.0615, rank=0.0352, reg=0.0263]
train epoch 1/1:  94%|█████████▍| 10180/10792 [1:08:52<04:01,  2.53it/s, loss=0.0615, rank=0.0352, reg=0.0263]
train epoch 1/1:  94%|█████████▍| 10180/10792 [1:08:52<04:01,  2.53it/s, loss=0.0859, rank=0.0558, reg=0.0301]
train epoch 1/1:  94%|█████████▍| 10181/10792 [1:08:52<03:26,  2.96it/s, loss=0.0859, rank=0.0558, reg=0.0301]
train epoch 1/1:  94%|█████████▍| 10181/10792 [1:08:52<03:26,  2.96it/s, loss=0.0480, rank=0.0184, reg=0.0296]
train epoch 1/1:  94%|█████████▍| 10182/10792 [1:08:52<03:37,  2.80it/s, loss=0.0480, rank=0.0184, reg=0.0296]
train epoch 1/1:  94%|█████████▍| 10182/10792 [1:08:53<03:37,  2.80it/s, loss=0.0600, rank=0.0341, reg=0.0259]
train epoch 1/1:  94%|█████████▍| 10183/10792 [1:08:53<03:24,  2.98it/s, loss=0.0600, rank=0.0341, reg=0.0259]
train epoch 1/1:  94%|█████████▍| 10183/10792 [1:08:53<03:24,  2.98it/s, loss=0.0676, rank=0.0583, reg=0.0093]
train epoch 1/1:  94%|█████████▍| 10184/10792 [1:08:53<03:00,  3.37it/s, loss=0.0676, rank=0.0583, reg=0.0093]
train epoch 1/1:  94%|█████████▍| 10184/10792 [1:08:53<03:00,  3.37it/s, loss=0.0348, rank=0.0257, reg=0.0091]
train epoch 1/1:  94%|█████████▍| 10185/10792 [1:08:53<03:13,  3.14it/s, loss=0.0348, rank=0.0257, reg=0.0091]
train epoch 1/1:  94%|█████████▍| 10185/10792 [1:08:54<03:13,  3.14it/s, loss=0.0450, rank=0.0177, reg=0.0273]
train epoch 1/1:  94%|█████████▍| 10186/10792 [1:08:54<03:44,  2.70it/s, loss=0.0450, rank=0.0177, reg=0.0273]
train epoch 1/1:  94%|█████████▍| 10186/10792 [1:08:54<03:44,  2.70it/s, loss=0.0405, rank=0.0082, reg=0.0322]
train epoch 1/1:  94%|█████████▍| 10187/10792 [1:08:54<04:13,  2.39it/s, loss=0.0405, rank=0.0082, reg=0.0322]
train epoch 1/1:  94%|█████████▍| 10187/10792 [1:08:55<04:13,  2.39it/s, loss=0.0584, rank=0.0130, reg=0.0454]
train epoch 1/1:  94%|█████████▍| 10188/10792 [1:08:55<06:13,  1.62it/s, loss=0.0584, rank=0.0130, reg=0.0454]
train epoch 1/1:  94%|█████████▍| 10188/10792 [1:08:55<06:13,  1.62it/s, loss=0.0522, rank=0.0251, reg=0.0271]
train epoch 1/1:  94%|█████████▍| 10189/10792 [1:08:55<05:09,  1.95it/s, loss=0.0522, rank=0.0251, reg=0.0271]
train epoch 1/1:  94%|█████████▍| 10189/10792 [1:08:56<05:09,  1.95it/s, loss=0.1115, rank=0.0506, reg=0.0608]
train epoch 1/1:  94%|█████████▍| 10190/10792 [1:08:56<04:38,  2.16it/s, loss=0.1115, rank=0.0506, reg=0.0608]
train epoch 1/1:  94%|█████████▍| 10190/10792 [1:08:56<04:38,  2.16it/s, loss=0.1183, rank=0.0230, reg=0.0952]
train epoch 1/1:  94%|█████████▍| 10191/10792 [1:08:56<04:17,  2.34it/s, loss=0.1183, rank=0.0230, reg=0.0952]
train epoch 1/1:  94%|█████████▍| 10191/10792 [1:08:57<04:17,  2.34it/s, loss=0.1340, rank=0.0726, reg=0.0614]
train epoch 1/1:  94%|█████████▍| 10192/10792 [1:08:57<05:30,  1.82it/s, loss=0.1340, rank=0.0726, reg=0.0614]
train epoch 1/1:  94%|█████████▍| 10192/10792 [1:08:58<05:30,  1.82it/s, loss=0.1379, rank=0.0346, reg=0.1033]
train epoch 1/1:  94%|█████████▍| 10193/10792 [1:08:58<06:09,  1.62it/s, loss=0.1379, rank=0.0346, reg=0.1033]
train epoch 1/1:  94%|█████████▍| 10193/10792 [1:08:58<06:09,  1.62it/s, loss=0.0660, rank=0.0150, reg=0.0510]
train epoch 1/1:  94%|█████████▍| 10194/10792 [1:08:58<04:53,  2.04it/s, loss=0.0660, rank=0.0150, reg=0.0510]
train epoch 1/1:  94%|█████████▍| 10194/10792 [1:08:59<04:53,  2.04it/s, loss=0.0669, rank=0.0462, reg=0.0207]
train epoch 1/1:  94%|█████████▍| 10195/10792 [1:08:59<05:18,  1.88it/s, loss=0.0669, rank=0.0462, reg=0.0207]
train epoch 1/1:  94%|█████████▍| 10195/10792 [1:08:59<05:18,  1.88it/s, loss=0.0641, rank=0.0402, reg=0.0239]
train epoch 1/1:  94%|█████████▍| 10196/10792 [1:08:59<05:41,  1.75it/s, loss=0.0641, rank=0.0402, reg=0.0239]
train epoch 1/1:  94%|█████████▍| 10196/10792 [1:08:59<05:41,  1.75it/s, loss=0.0426, rank=0.0143, reg=0.0283]
train epoch 1/1:  94%|█████████▍| 10197/10792 [1:08:59<04:34,  2.16it/s, loss=0.0426, rank=0.0143, reg=0.0283]
train epoch 1/1:  94%|█████████▍| 10197/10792 [1:09:00<04:34,  2.16it/s, loss=0.0309, rank=0.0111, reg=0.0198]
train epoch 1/1:  94%|█████████▍| 10198/10792 [1:09:00<04:53,  2.02it/s, loss=0.0309, rank=0.0111, reg=0.0198]
train epoch 1/1:  94%|█████████▍| 10198/10792 [1:09:00<04:53,  2.02it/s, loss=0.0585, rank=0.0048, reg=0.0536]
train epoch 1/1:  95%|█████████▍| 10199/10792 [1:09:00<04:45,  2.08it/s, loss=0.0585, rank=0.0048, reg=0.0536]
train epoch 1/1:  95%|█████████▍| 10199/10792 [1:09:01<04:45,  2.08it/s, loss=0.0955, rank=0.0397, reg=0.0558]
train epoch 1/1:  95%|█████████▍| 10200/10792 [1:09:01<04:39,  2.12it/s, loss=0.0955, rank=0.0397, reg=0.0558]
train epoch 1/1:  95%|█████████▍| 10200/10792 [1:09:01<04:39,  2.12it/s, loss=0.0522, rank=0.0435, reg=0.0087]
train epoch 1/1:  95%|█████████▍| 10201/10792 [1:09:01<03:39,  2.69it/s, loss=0.0522, rank=0.0435, reg=0.0087]
train epoch 1/1:  95%|█████████▍| 10201/10792 [1:09:02<03:39,  2.69it/s, loss=0.0741, rank=0.0494, reg=0.0248]
train epoch 1/1:  95%|█████████▍| 10202/10792 [1:09:02<04:12,  2.34it/s, loss=0.0741, rank=0.0494, reg=0.0248]
train epoch 1/1:  95%|█████████▍| 10202/10792 [1:09:02<04:12,  2.34it/s, loss=0.0711, rank=0.0170, reg=0.0541]
train epoch 1/1:  95%|█████████▍| 10203/10792 [1:09:02<05:01,  1.95it/s, loss=0.0711, rank=0.0170, reg=0.0541]
train epoch 1/1:  95%|█████████▍| 10203/10792 [1:09:03<05:01,  1.95it/s, loss=0.0984, rank=0.0529, reg=0.0455]
train epoch 1/1:  95%|█████████▍| 10204/10792 [1:09:03<04:12,  2.33it/s, loss=0.0984, rank=0.0529, reg=0.0455]
train epoch 1/1:  95%|█████████▍| 10204/10792 [1:09:03<04:12,  2.33it/s, loss=0.1189, rank=0.0684, reg=0.0505]
train epoch 1/1:  95%|█████████▍| 10205/10792 [1:09:03<03:39,  2.67it/s, loss=0.1189, rank=0.0684, reg=0.0505]
train epoch 1/1:  95%|█████████▍| 10205/10792 [1:09:03<03:39,  2.67it/s, loss=0.0654, rank=0.0314, reg=0.0340]
train epoch 1/1:  95%|█████████▍| 10206/10792 [1:09:03<04:13,  2.31it/s, loss=0.0654, rank=0.0314, reg=0.0340]
train epoch 1/1:  95%|█████████▍| 10206/10792 [1:09:04<04:13,  2.31it/s, loss=0.1032, rank=0.0431, reg=0.0601]
train epoch 1/1:  95%|█████████▍| 10207/10792 [1:09:04<03:48,  2.56it/s, loss=0.1032, rank=0.0431, reg=0.0601]
train epoch 1/1:  95%|█████████▍| 10207/10792 [1:09:04<03:48,  2.56it/s, loss=0.0546, rank=0.0125, reg=0.0421]
train epoch 1/1:  95%|█████████▍| 10208/10792 [1:09:04<03:50,  2.53it/s, loss=0.0546, rank=0.0125, reg=0.0421]
train epoch 1/1:  95%|█████████▍| 10208/10792 [1:09:05<03:50,  2.53it/s, loss=0.0623, rank=0.0344, reg=0.0279]
train epoch 1/1:  95%|█████████▍| 10209/10792 [1:09:05<03:57,  2.46it/s, loss=0.0623, rank=0.0344, reg=0.0279]
train epoch 1/1:  95%|█████████▍| 10209/10792 [1:09:05<03:57,  2.46it/s, loss=0.2511, rank=0.1031, reg=0.1480]
train epoch 1/1:  95%|█████████▍| 10210/10792 [1:09:05<04:08,  2.34it/s, loss=0.2511, rank=0.1031, reg=0.1480]
train epoch 1/1:  95%|█████████▍| 10210/10792 [1:09:05<04:08,  2.34it/s, loss=0.1410, rank=0.0549, reg=0.0861]
train epoch 1/1:  95%|█████████▍| 10211/10792 [1:09:05<03:44,  2.58it/s, loss=0.1410, rank=0.0549, reg=0.0861]
train epoch 1/1:  95%|█████████▍| 10211/10792 [1:09:05<03:44,  2.58it/s, loss=0.0676, rank=0.0575, reg=0.0101]
train epoch 1/1:  95%|█████████▍| 10212/10792 [1:09:05<03:09,  3.05it/s, loss=0.0676, rank=0.0575, reg=0.0101]
train epoch 1/1:  95%|█████████▍| 10212/10792 [1:09:06<03:09,  3.05it/s, loss=0.0498, rank=0.0411, reg=0.0087]
train epoch 1/1:  95%|█████████▍| 10213/10792 [1:09:06<02:58,  3.24it/s, loss=0.0498, rank=0.0411, reg=0.0087]
train epoch 1/1:  95%|█████████▍| 10213/10792 [1:09:06<02:58,  3.24it/s, loss=0.0175, rank=0.0125, reg=0.0050]
train epoch 1/1:  95%|█████████▍| 10214/10792 [1:09:06<03:58,  2.42it/s, loss=0.0175, rank=0.0125, reg=0.0050]
train epoch 1/1:  95%|█████████▍| 10214/10792 [1:09:07<03:58,  2.42it/s, loss=0.0605, rank=0.0356, reg=0.0249]
train epoch 1/1:  95%|█████████▍| 10215/10792 [1:09:07<03:11,  3.01it/s, loss=0.0605, rank=0.0356, reg=0.0249]
train epoch 1/1:  95%|█████████▍| 10215/10792 [1:09:07<03:11,  3.01it/s, loss=0.0658, rank=0.0534, reg=0.0124]
train epoch 1/1:  95%|█████████▍| 10216/10792 [1:09:07<02:47,  3.44it/s, loss=0.0658, rank=0.0534, reg=0.0124]
train epoch 1/1:  95%|█████████▍| 10216/10792 [1:09:07<02:47,  3.44it/s, loss=0.0613, rank=0.0414, reg=0.0199]
train epoch 1/1:  95%|█████████▍| 10217/10792 [1:09:07<02:38,  3.64it/s, loss=0.0613, rank=0.0414, reg=0.0199]
train epoch 1/1:  95%|█████████▍| 10217/10792 [1:09:07<02:38,  3.64it/s, loss=0.0625, rank=0.0415, reg=0.0209]
train epoch 1/1:  95%|█████████▍| 10218/10792 [1:09:07<03:06,  3.07it/s, loss=0.0625, rank=0.0415, reg=0.0209]
train epoch 1/1:  95%|█████████▍| 10218/10792 [1:09:08<03:06,  3.07it/s, loss=0.0341, rank=0.0128, reg=0.0213]
train epoch 1/1:  95%|█████████▍| 10219/10792 [1:09:08<04:32,  2.10it/s, loss=0.0341, rank=0.0128, reg=0.0213]
train epoch 1/1:  95%|█████████▍| 10219/10792 [1:09:09<04:32,  2.10it/s, loss=0.0456, rank=0.0380, reg=0.0076]
train epoch 1/1:  95%|█████████▍| 10220/10792 [1:09:09<04:22,  2.18it/s, loss=0.0456, rank=0.0380, reg=0.0076]
train epoch 1/1:  95%|█████████▍| 10220/10792 [1:09:09<04:22,  2.18it/s, loss=0.0671, rank=0.0519, reg=0.0153]
train epoch 1/1:  95%|█████████▍| 10221/10792 [1:09:09<04:10,  2.28it/s, loss=0.0671, rank=0.0519, reg=0.0153]
train epoch 1/1:  95%|█████████▍| 10221/10792 [1:09:10<04:10,  2.28it/s, loss=0.1032, rank=0.0697, reg=0.0335]
train epoch 1/1:  95%|█████████▍| 10222/10792 [1:09:10<05:27,  1.74it/s, loss=0.1032, rank=0.0697, reg=0.0335]
train epoch 1/1:  95%|█████████▍| 10222/10792 [1:09:10<05:27,  1.74it/s, loss=0.2425, rank=0.0472, reg=0.1953]
train epoch 1/1:  95%|█████████▍| 10223/10792 [1:09:10<05:20,  1.77it/s, loss=0.2425, rank=0.0472, reg=0.1953]
train epoch 1/1:  95%|█████████▍| 10223/10792 [1:09:11<05:20,  1.77it/s, loss=0.0827, rank=0.0299, reg=0.0529]
train epoch 1/1:  95%|█████████▍| 10224/10792 [1:09:11<05:48,  1.63it/s, loss=0.0827, rank=0.0299, reg=0.0529]
train epoch 1/1:  95%|█████████▍| 10224/10792 [1:09:12<05:48,  1.63it/s, loss=0.0587, rank=0.0474, reg=0.0113]
train epoch 1/1:  95%|█████████▍| 10225/10792 [1:09:12<04:52,  1.94it/s, loss=0.0587, rank=0.0474, reg=0.0113]
train epoch 1/1:  95%|█████████▍| 10225/10792 [1:09:12<04:52,  1.94it/s, loss=0.1139, rank=0.0810, reg=0.0329]
train epoch 1/1:  95%|█████████▍| 10226/10792 [1:09:12<03:50,  2.46it/s, loss=0.1139, rank=0.0810, reg=0.0329]
train epoch 1/1:  95%|█████████▍| 10226/10792 [1:09:12<03:50,  2.46it/s, loss=0.0344, rank=0.0169, reg=0.0175]
train epoch 1/1:  95%|█████████▍| 10227/10792 [1:09:12<04:50,  1.95it/s, loss=0.0344, rank=0.0169, reg=0.0175]
train epoch 1/1:  95%|█████████▍| 10227/10792 [1:09:13<04:50,  1.95it/s, loss=0.1565, rank=0.0680, reg=0.0885]
train epoch 1/1:  95%|█████████▍| 10228/10792 [1:09:13<05:28,  1.72it/s, loss=0.1565, rank=0.0680, reg=0.0885]
train epoch 1/1:  95%|█████████▍| 10228/10792 [1:09:13<05:28,  1.72it/s, loss=0.0962, rank=0.0427, reg=0.0535]
train epoch 1/1:  95%|█████████▍| 10229/10792 [1:09:13<04:32,  2.07it/s, loss=0.0962, rank=0.0427, reg=0.0535]
train epoch 1/1:  95%|█████████▍| 10229/10792 [1:09:14<04:32,  2.07it/s, loss=0.1300, rank=0.0355, reg=0.0945]
train epoch 1/1:  95%|█████████▍| 10230/10792 [1:09:14<05:17,  1.77it/s, loss=0.1300, rank=0.0355, reg=0.0945]
train epoch 1/1:  95%|█████████▍| 10230/10792 [1:09:15<05:17,  1.77it/s, loss=0.0462, rank=0.0160, reg=0.0301]
train epoch 1/1:  95%|█████████▍| 10231/10792 [1:09:15<05:49,  1.61it/s, loss=0.0462, rank=0.0160, reg=0.0301]
train epoch 1/1:  95%|█████████▍| 10231/10792 [1:09:15<05:49,  1.61it/s, loss=0.0913, rank=0.0792, reg=0.0121]
train epoch 1/1:  95%|█████████▍| 10232/10792 [1:09:15<05:19,  1.75it/s, loss=0.0913, rank=0.0792, reg=0.0121]
train epoch 1/1:  95%|█████████▍| 10232/10792 [1:09:16<05:19,  1.75it/s, loss=0.0893, rank=0.0488, reg=0.0405]
train epoch 1/1:  95%|█████████▍| 10233/10792 [1:09:16<05:04,  1.83it/s, loss=0.0893, rank=0.0488, reg=0.0405]
train epoch 1/1:  95%|█████████▍| 10233/10792 [1:09:16<05:04,  1.83it/s, loss=0.1143, rank=0.0557, reg=0.0586]
train epoch 1/1:  95%|█████████▍| 10234/10792 [1:09:16<04:42,  1.98it/s, loss=0.1143, rank=0.0557, reg=0.0586]
train epoch 1/1:  95%|█████████▍| 10234/10792 [1:09:17<04:42,  1.98it/s, loss=0.0684, rank=0.0244, reg=0.0440]
train epoch 1/1:  95%|█████████▍| 10235/10792 [1:09:17<04:01,  2.30it/s, loss=0.0684, rank=0.0244, reg=0.0440]
train epoch 1/1:  95%|█████████▍| 10235/10792 [1:09:17<04:01,  2.30it/s, loss=0.1062, rank=0.0573, reg=0.0489]
train epoch 1/1:  95%|█████████▍| 10236/10792 [1:09:17<03:16,  2.83it/s, loss=0.1062, rank=0.0573, reg=0.0489]
train epoch 1/1:  95%|█████████▍| 10236/10792 [1:09:17<03:16,  2.83it/s, loss=0.1494, rank=0.0784, reg=0.0710]
train epoch 1/1:  95%|█████████▍| 10237/10792 [1:09:17<02:57,  3.12it/s, loss=0.1494, rank=0.0784, reg=0.0710]
train epoch 1/1:  95%|█████████▍| 10237/10792 [1:09:18<02:57,  3.12it/s, loss=0.0837, rank=0.0438, reg=0.0398]
train epoch 1/1:  95%|█████████▍| 10238/10792 [1:09:18<03:58,  2.32it/s, loss=0.0837, rank=0.0438, reg=0.0398]
train epoch 1/1:  95%|█████████▍| 10238/10792 [1:09:18<03:58,  2.32it/s, loss=0.1013, rank=0.0601, reg=0.0412]
train epoch 1/1:  95%|█████████▍| 10239/10792 [1:09:18<03:21,  2.74it/s, loss=0.1013, rank=0.0601, reg=0.0412]
train epoch 1/1:  95%|█████████▍| 10239/10792 [1:09:18<03:21,  2.74it/s, loss=0.1066, rank=0.0818, reg=0.0248]
train epoch 1/1:  95%|█████████▍| 10240/10792 [1:09:18<03:17,  2.80it/s, loss=0.1066, rank=0.0818, reg=0.0248]
train epoch 1/1:  95%|█████████▍| 10240/10792 [1:09:18<03:17,  2.80it/s, loss=0.1025, rank=0.0535, reg=0.0491]
train epoch 1/1:  95%|█████████▍| 10241/10792 [1:09:18<02:41,  3.42it/s, loss=0.1025, rank=0.0535, reg=0.0491]
train epoch 1/1:  95%|█████████▍| 10241/10792 [1:09:19<02:41,  3.42it/s, loss=0.1003, rank=0.0515, reg=0.0489]
train epoch 1/1:  95%|█████████▍| 10242/10792 [1:09:19<02:43,  3.36it/s, loss=0.1003, rank=0.0515, reg=0.0489]
train epoch 1/1:  95%|█████████▍| 10242/10792 [1:09:19<02:43,  3.36it/s, loss=0.0580, rank=0.0244, reg=0.0337]
train epoch 1/1:  95%|█████████▍| 10243/10792 [1:09:19<02:18,  3.96it/s, loss=0.0580, rank=0.0244, reg=0.0337]
train epoch 1/1:  95%|█████████▍| 10243/10792 [1:09:19<02:18,  3.96it/s, loss=0.1080, rank=0.0748, reg=0.0332]
train epoch 1/1:  95%|█████████▍| 10244/10792 [1:09:19<02:14,  4.07it/s, loss=0.1080, rank=0.0748, reg=0.0332]
train epoch 1/1:  95%|█████████▍| 10244/10792 [1:09:19<02:14,  4.07it/s, loss=0.0515, rank=0.0374, reg=0.0141]
train epoch 1/1:  95%|█████████▍| 10245/10792 [1:09:19<02:34,  3.55it/s, loss=0.0515, rank=0.0374, reg=0.0141]
train epoch 1/1:  95%|█████████▍| 10245/10792 [1:09:20<02:34,  3.55it/s, loss=0.1394, rank=0.1000, reg=0.0394]
train epoch 1/1:  95%|█████████▍| 10246/10792 [1:09:20<02:32,  3.59it/s, loss=0.1394, rank=0.1000, reg=0.0394]
train epoch 1/1:  95%|█████████▍| 10246/10792 [1:09:21<02:32,  3.59it/s, loss=0.0906, rank=0.0124, reg=0.0782]
train epoch 1/1:  95%|█████████▍| 10247/10792 [1:09:21<04:32,  2.00it/s, loss=0.0906, rank=0.0124, reg=0.0782]
train epoch 1/1:  95%|█████████▍| 10247/10792 [1:09:21<04:32,  2.00it/s, loss=0.0536, rank=0.0298, reg=0.0238]
train epoch 1/1:  95%|█████████▍| 10248/10792 [1:09:21<03:42,  2.44it/s, loss=0.0536, rank=0.0298, reg=0.0238]
train epoch 1/1:  95%|█████████▍| 10248/10792 [1:09:21<03:42,  2.44it/s, loss=0.1409, rank=0.0794, reg=0.0615]
train epoch 1/1:  95%|█████████▍| 10249/10792 [1:09:21<03:22,  2.69it/s, loss=0.1409, rank=0.0794, reg=0.0615]
train epoch 1/1:  95%|█████████▍| 10249/10792 [1:09:21<03:22,  2.69it/s, loss=0.1107, rank=0.1023, reg=0.0084]
train epoch 1/1:  95%|█████████▍| 10250/10792 [1:09:21<03:03,  2.96it/s, loss=0.1107, rank=0.1023, reg=0.0084]
train epoch 1/1:  95%|█████████▍| 10250/10792 [1:09:22<03:03,  2.96it/s, loss=0.1127, rank=0.0890, reg=0.0237]
train epoch 1/1:  95%|█████████▍| 10251/10792 [1:09:22<03:54,  2.31it/s, loss=0.1127, rank=0.0890, reg=0.0237]
train epoch 1/1:  95%|█████████▍| 10251/10792 [1:09:23<03:54,  2.31it/s, loss=0.1166, rank=0.0777, reg=0.0389]
train epoch 1/1:  95%|█████████▍| 10252/10792 [1:09:23<04:35,  1.96it/s, loss=0.1166, rank=0.0777, reg=0.0389]
train epoch 1/1:  95%|█████████▍| 10252/10792 [1:09:23<04:35,  1.96it/s, loss=0.0648, rank=0.0344, reg=0.0304]
train epoch 1/1:  95%|█████████▌| 10253/10792 [1:09:23<04:22,  2.06it/s, loss=0.0648, rank=0.0344, reg=0.0304]
train epoch 1/1:  95%|█████████▌| 10253/10792 [1:09:23<04:22,  2.06it/s, loss=0.1219, rank=0.0463, reg=0.0755]
train epoch 1/1:  95%|█████████▌| 10254/10792 [1:09:23<03:29,  2.57it/s, loss=0.1219, rank=0.0463, reg=0.0755]
train epoch 1/1:  95%|█████████▌| 10254/10792 [1:09:24<03:29,  2.57it/s, loss=0.1033, rank=0.0778, reg=0.0255]
train epoch 1/1:  95%|█████████▌| 10255/10792 [1:09:24<02:56,  3.04it/s, loss=0.1033, rank=0.0778, reg=0.0255]
train epoch 1/1:  95%|█████████▌| 10255/10792 [1:09:24<02:56,  3.04it/s, loss=0.0581, rank=0.0249, reg=0.0332]
train epoch 1/1:  95%|█████████▌| 10256/10792 [1:09:24<03:05,  2.89it/s, loss=0.0581, rank=0.0249, reg=0.0332]
train epoch 1/1:  95%|█████████▌| 10256/10792 [1:09:25<03:05,  2.89it/s, loss=0.1126, rank=0.0125, reg=0.1001]
train epoch 1/1:  95%|█████████▌| 10257/10792 [1:09:25<04:13,  2.11it/s, loss=0.1126, rank=0.0125, reg=0.1001]
train epoch 1/1:  95%|█████████▌| 10257/10792 [1:09:25<04:13,  2.11it/s, loss=0.0335, rank=0.0256, reg=0.0080]
train epoch 1/1:  95%|█████████▌| 10258/10792 [1:09:25<03:31,  2.52it/s, loss=0.0335, rank=0.0256, reg=0.0080]
train epoch 1/1:  95%|█████████▌| 10258/10792 [1:09:26<03:31,  2.52it/s, loss=0.2259, rank=0.0280, reg=0.1979]
train epoch 1/1:  95%|█████████▌| 10259/10792 [1:09:26<05:31,  1.61it/s, loss=0.2259, rank=0.0280, reg=0.1979]
train epoch 1/1:  95%|█████████▌| 10259/10792 [1:09:26<05:31,  1.61it/s, loss=0.0685, rank=0.0587, reg=0.0098]
train epoch 1/1:  95%|█████████▌| 10260/10792 [1:09:26<04:33,  1.95it/s, loss=0.0685, rank=0.0587, reg=0.0098]
train epoch 1/1:  95%|█████████▌| 10260/10792 [1:09:27<04:33,  1.95it/s, loss=0.0516, rank=0.0459, reg=0.0057]
train epoch 1/1:  95%|█████████▌| 10261/10792 [1:09:27<04:35,  1.93it/s, loss=0.0516, rank=0.0459, reg=0.0057]
train epoch 1/1:  95%|█████████▌| 10261/10792 [1:09:28<04:35,  1.93it/s, loss=0.0786, rank=0.0051, reg=0.0736]
train epoch 1/1:  95%|█████████▌| 10262/10792 [1:09:28<05:05,  1.74it/s, loss=0.0786, rank=0.0051, reg=0.0736]
train epoch 1/1:  95%|█████████▌| 10262/10792 [1:09:28<05:05,  1.74it/s, loss=0.1001, rank=0.0390, reg=0.0611]
train epoch 1/1:  95%|█████████▌| 10263/10792 [1:09:28<04:41,  1.88it/s, loss=0.1001, rank=0.0390, reg=0.0611]
train epoch 1/1:  95%|█████████▌| 10263/10792 [1:09:29<04:41,  1.88it/s, loss=0.0374, rank=0.0176, reg=0.0198]
train epoch 1/1:  95%|█████████▌| 10264/10792 [1:09:29<06:40,  1.32it/s, loss=0.0374, rank=0.0176, reg=0.0198]
train epoch 1/1:  95%|█████████▌| 10264/10792 [1:09:29<06:40,  1.32it/s, loss=0.1673, rank=0.1066, reg=0.0607]
train epoch 1/1:  95%|█████████▌| 10265/10792 [1:09:29<05:10,  1.70it/s, loss=0.1673, rank=0.1066, reg=0.0607]
train epoch 1/1:  95%|█████████▌| 10265/10792 [1:09:30<05:10,  1.70it/s, loss=0.1273, rank=0.0936, reg=0.0337]
train epoch 1/1:  95%|█████████▌| 10266/10792 [1:09:30<04:03,  2.16it/s, loss=0.1273, rank=0.0936, reg=0.0337]
train epoch 1/1:  95%|█████████▌| 10266/10792 [1:09:30<04:03,  2.16it/s, loss=0.0604, rank=0.0504, reg=0.0100]
train epoch 1/1:  95%|█████████▌| 10267/10792 [1:09:30<03:18,  2.65it/s, loss=0.0604, rank=0.0504, reg=0.0100]
train epoch 1/1:  95%|█████████▌| 10267/10792 [1:09:30<03:18,  2.65it/s, loss=0.1115, rank=0.0660, reg=0.0455]
train epoch 1/1:  95%|█████████▌| 10268/10792 [1:09:30<02:57,  2.96it/s, loss=0.1115, rank=0.0660, reg=0.0455]
train epoch 1/1:  95%|█████████▌| 10268/10792 [1:09:31<02:57,  2.96it/s, loss=0.0949, rank=0.0390, reg=0.0559]
train epoch 1/1:  95%|█████████▌| 10269/10792 [1:09:31<04:36,  1.89it/s, loss=0.0949, rank=0.0390, reg=0.0559]
train epoch 1/1:  95%|█████████▌| 10269/10792 [1:09:32<04:36,  1.89it/s, loss=0.0504, rank=0.0453, reg=0.0051]
train epoch 1/1:  95%|█████████▌| 10270/10792 [1:09:32<05:34,  1.56it/s, loss=0.0504, rank=0.0453, reg=0.0051]
train epoch 1/1:  95%|█████████▌| 10270/10792 [1:09:32<05:34,  1.56it/s, loss=0.0970, rank=0.0605, reg=0.0366]
train epoch 1/1:  95%|█████████▌| 10271/10792 [1:09:32<05:03,  1.72it/s, loss=0.0970, rank=0.0605, reg=0.0366]
train epoch 1/1:  95%|█████████▌| 10271/10792 [1:09:33<05:03,  1.72it/s, loss=0.0531, rank=0.0219, reg=0.0312]
train epoch 1/1:  95%|█████████▌| 10272/10792 [1:09:33<03:59,  2.17it/s, loss=0.0531, rank=0.0219, reg=0.0312]
train epoch 1/1:  95%|█████████▌| 10272/10792 [1:09:33<03:59,  2.17it/s, loss=0.0705, rank=0.0541, reg=0.0164]
train epoch 1/1:  95%|█████████▌| 10273/10792 [1:09:33<03:54,  2.21it/s, loss=0.0705, rank=0.0541, reg=0.0164]
train epoch 1/1:  95%|█████████▌| 10273/10792 [1:09:34<03:54,  2.21it/s, loss=0.0683, rank=0.0275, reg=0.0408]
train epoch 1/1:  95%|█████████▌| 10274/10792 [1:09:34<04:52,  1.77it/s, loss=0.0683, rank=0.0275, reg=0.0408]
train epoch 1/1:  95%|█████████▌| 10274/10792 [1:09:35<04:52,  1.77it/s, loss=0.0281, rank=0.0108, reg=0.0173]
train epoch 1/1:  95%|█████████▌| 10275/10792 [1:09:35<05:28,  1.57it/s, loss=0.0281, rank=0.0108, reg=0.0173]
train epoch 1/1:  95%|█████████▌| 10275/10792 [1:09:35<05:28,  1.57it/s, loss=0.0714, rank=0.0370, reg=0.0344]
train epoch 1/1:  95%|█████████▌| 10276/10792 [1:09:35<04:07,  2.08it/s, loss=0.0714, rank=0.0370, reg=0.0344]
train epoch 1/1:  95%|█████████▌| 10276/10792 [1:09:35<04:07,  2.08it/s, loss=0.0176, rank=0.0000, reg=0.0176]
train epoch 1/1:  95%|█████████▌| 10277/10792 [1:09:35<04:02,  2.12it/s, loss=0.0176, rank=0.0000, reg=0.0176]
train epoch 1/1:  95%|█████████▌| 10277/10792 [1:09:35<04:02,  2.12it/s, loss=0.1678, rank=0.0485, reg=0.1193]
train epoch 1/1:  95%|█████████▌| 10278/10792 [1:09:35<03:22,  2.53it/s, loss=0.1678, rank=0.0485, reg=0.1193]
train epoch 1/1:  95%|█████████▌| 10278/10792 [1:09:36<03:22,  2.53it/s, loss=0.0610, rank=0.0488, reg=0.0122]
train epoch 1/1:  95%|█████████▌| 10279/10792 [1:09:36<03:09,  2.71it/s, loss=0.0610, rank=0.0488, reg=0.0122]
train epoch 1/1:  95%|█████████▌| 10279/10792 [1:09:36<03:09,  2.71it/s, loss=0.0498, rank=0.0415, reg=0.0083]
train epoch 1/1:  95%|█████████▌| 10280/10792 [1:09:36<02:49,  3.02it/s, loss=0.0498, rank=0.0415, reg=0.0083]
train epoch 1/1:  95%|█████████▌| 10280/10792 [1:09:37<02:49,  3.02it/s, loss=0.1172, rank=0.0250, reg=0.0922]
train epoch 1/1:  95%|█████████▌| 10281/10792 [1:09:37<04:12,  2.03it/s, loss=0.1172, rank=0.0250, reg=0.0922]
train epoch 1/1:  95%|█████████▌| 10281/10792 [1:09:37<04:12,  2.03it/s, loss=0.0462, rank=0.0173, reg=0.0288]
train epoch 1/1:  95%|█████████▌| 10282/10792 [1:09:37<04:03,  2.10it/s, loss=0.0462, rank=0.0173, reg=0.0288]
train epoch 1/1:  95%|█████████▌| 10282/10792 [1:09:38<04:03,  2.10it/s, loss=0.0799, rank=0.0300, reg=0.0498]
train epoch 1/1:  95%|█████████▌| 10283/10792 [1:09:38<03:34,  2.38it/s, loss=0.0799, rank=0.0300, reg=0.0498]
train epoch 1/1:  95%|█████████▌| 10283/10792 [1:09:38<03:34,  2.38it/s, loss=0.0524, rank=0.0256, reg=0.0268]
train epoch 1/1:  95%|█████████▌| 10284/10792 [1:09:38<03:13,  2.62it/s, loss=0.0524, rank=0.0256, reg=0.0268]
train epoch 1/1:  95%|█████████▌| 10284/10792 [1:09:38<03:13,  2.62it/s, loss=0.0817, rank=0.0529, reg=0.0287]
train epoch 1/1:  95%|█████████▌| 10285/10792 [1:09:38<02:47,  3.02it/s, loss=0.0817, rank=0.0529, reg=0.0287]
train epoch 1/1:  95%|█████████▌| 10285/10792 [1:09:38<02:47,  3.02it/s, loss=0.0969, rank=0.0912, reg=0.0057]
train epoch 1/1:  95%|█████████▌| 10286/10792 [1:09:38<02:59,  2.82it/s, loss=0.0969, rank=0.0912, reg=0.0057]
train epoch 1/1:  95%|█████████▌| 10286/10792 [1:09:39<02:59,  2.82it/s, loss=0.0672, rank=0.0126, reg=0.0546]
train epoch 1/1:  95%|█████████▌| 10287/10792 [1:09:39<02:40,  3.15it/s, loss=0.0672, rank=0.0126, reg=0.0546]
train epoch 1/1:  95%|█████████▌| 10287/10792 [1:09:39<02:40,  3.15it/s, loss=0.1222, rank=0.0390, reg=0.0833]
train epoch 1/1:  95%|█████████▌| 10288/10792 [1:09:39<02:12,  3.81it/s, loss=0.1222, rank=0.0390, reg=0.0833]
train epoch 1/1:  95%|█████████▌| 10288/10792 [1:09:39<02:12,  3.81it/s, loss=0.0910, rank=0.0318, reg=0.0592]
train epoch 1/1:  95%|█████████▌| 10289/10792 [1:09:39<02:53,  2.89it/s, loss=0.0910, rank=0.0318, reg=0.0592]
train epoch 1/1:  95%|█████████▌| 10289/10792 [1:09:40<02:53,  2.89it/s, loss=0.0933, rank=0.0685, reg=0.0248]
train epoch 1/1:  95%|█████████▌| 10290/10792 [1:09:40<02:30,  3.33it/s, loss=0.0933, rank=0.0685, reg=0.0248]
train epoch 1/1:  95%|█████████▌| 10290/10792 [1:09:40<02:30,  3.33it/s, loss=0.0733, rank=0.0504, reg=0.0229]
train epoch 1/1:  95%|█████████▌| 10291/10792 [1:09:40<02:50,  2.93it/s, loss=0.0733, rank=0.0504, reg=0.0229]
train epoch 1/1:  95%|█████████▌| 10291/10792 [1:09:40<02:50,  2.93it/s, loss=0.0792, rank=0.0588, reg=0.0204]
train epoch 1/1:  95%|█████████▌| 10292/10792 [1:09:40<03:09,  2.63it/s, loss=0.0792, rank=0.0588, reg=0.0204]
train epoch 1/1:  95%|█████████▌| 10292/10792 [1:09:41<03:09,  2.63it/s, loss=0.0463, rank=0.0351, reg=0.0112]
train epoch 1/1:  95%|█████████▌| 10293/10792 [1:09:41<02:45,  3.01it/s, loss=0.0463, rank=0.0351, reg=0.0112]
train epoch 1/1:  95%|█████████▌| 10293/10792 [1:09:41<02:45,  3.01it/s, loss=0.0372, rank=0.0292, reg=0.0081]
train epoch 1/1:  95%|█████████▌| 10294/10792 [1:09:41<02:28,  3.36it/s, loss=0.0372, rank=0.0292, reg=0.0081]
train epoch 1/1:  95%|█████████▌| 10294/10792 [1:09:42<02:28,  3.36it/s, loss=0.0277, rank=0.0123, reg=0.0154]
train epoch 1/1:  95%|█████████▌| 10295/10792 [1:09:42<03:44,  2.22it/s, loss=0.0277, rank=0.0123, reg=0.0154]
train epoch 1/1:  95%|█████████▌| 10295/10792 [1:09:42<03:44,  2.22it/s, loss=0.0768, rank=0.0377, reg=0.0391]
train epoch 1/1:  95%|█████████▌| 10296/10792 [1:09:42<03:11,  2.60it/s, loss=0.0768, rank=0.0377, reg=0.0391]
train epoch 1/1:  95%|█████████▌| 10296/10792 [1:09:42<03:11,  2.60it/s, loss=0.1003, rank=0.0250, reg=0.0753]
train epoch 1/1:  95%|█████████▌| 10297/10792 [1:09:42<03:23,  2.43it/s, loss=0.1003, rank=0.0250, reg=0.0753]
train epoch 1/1:  95%|█████████▌| 10297/10792 [1:09:43<03:23,  2.43it/s, loss=0.0431, rank=0.0133, reg=0.0298]
train epoch 1/1:  95%|█████████▌| 10298/10792 [1:09:43<04:09,  1.98it/s, loss=0.0431, rank=0.0133, reg=0.0298]
train epoch 1/1:  95%|█████████▌| 10298/10792 [1:09:43<04:09,  1.98it/s, loss=0.1062, rank=0.0829, reg=0.0233]
train epoch 1/1:  95%|█████████▌| 10299/10792 [1:09:43<03:39,  2.25it/s, loss=0.1062, rank=0.0829, reg=0.0233]
train epoch 1/1:  95%|█████████▌| 10299/10792 [1:09:44<03:39,  2.25it/s, loss=0.0616, rank=0.0292, reg=0.0323]
train epoch 1/1:  95%|█████████▌| 10300/10792 [1:09:44<03:14,  2.52it/s, loss=0.0616, rank=0.0292, reg=0.0323]
train epoch 1/1:  95%|█████████▌| 10300/10792 [1:09:44<03:14,  2.52it/s, loss=0.0407, rank=0.0289, reg=0.0118]
train epoch 1/1:  95%|█████████▌| 10301/10792 [1:09:44<03:34,  2.29it/s, loss=0.0407, rank=0.0289, reg=0.0118]
train epoch 1/1:  95%|█████████▌| 10301/10792 [1:09:45<03:34,  2.29it/s, loss=0.0299, rank=0.0000, reg=0.0299]
train epoch 1/1:  95%|█████████▌| 10302/10792 [1:09:45<03:11,  2.55it/s, loss=0.0299, rank=0.0000, reg=0.0299]
train epoch 1/1:  95%|█████████▌| 10302/10792 [1:09:45<03:11,  2.55it/s, loss=0.0969, rank=0.0772, reg=0.0197]
train epoch 1/1:  95%|█████████▌| 10303/10792 [1:09:45<02:47,  2.91it/s, loss=0.0969, rank=0.0772, reg=0.0197]
train epoch 1/1:  95%|█████████▌| 10303/10792 [1:09:45<02:47,  2.91it/s, loss=0.0522, rank=0.0411, reg=0.0111]
train epoch 1/1:  95%|█████████▌| 10304/10792 [1:09:45<02:34,  3.15it/s, loss=0.0522, rank=0.0411, reg=0.0111]
train epoch 1/1:  95%|█████████▌| 10304/10792 [1:09:45<02:34,  3.15it/s, loss=0.1082, rank=0.0775, reg=0.0307]
train epoch 1/1:  95%|█████████▌| 10305/10792 [1:09:45<02:43,  2.98it/s, loss=0.1082, rank=0.0775, reg=0.0307]
train epoch 1/1:  95%|█████████▌| 10305/10792 [1:09:46<02:43,  2.98it/s, loss=0.0927, rank=0.0508, reg=0.0419]
train epoch 1/1:  95%|█████████▌| 10306/10792 [1:09:46<02:32,  3.19it/s, loss=0.0927, rank=0.0508, reg=0.0419]
train epoch 1/1:  95%|█████████▌| 10306/10792 [1:09:46<02:32,  3.19it/s, loss=0.1152, rank=0.0666, reg=0.0486]
train epoch 1/1:  96%|█████████▌| 10307/10792 [1:09:46<02:14,  3.61it/s, loss=0.1152, rank=0.0666, reg=0.0486]
train epoch 1/1:  96%|█████████▌| 10307/10792 [1:09:46<02:14,  3.61it/s, loss=0.1378, rank=0.0310, reg=0.1069]
train epoch 1/1:  96%|█████████▌| 10308/10792 [1:09:46<02:45,  2.93it/s, loss=0.1378, rank=0.0310, reg=0.1069]
train epoch 1/1:  96%|█████████▌| 10308/10792 [1:09:47<02:45,  2.93it/s, loss=0.0525, rank=0.0322, reg=0.0203]
train epoch 1/1:  96%|█████████▌| 10309/10792 [1:09:47<02:22,  3.40it/s, loss=0.0525, rank=0.0322, reg=0.0203]
train epoch 1/1:  96%|█████████▌| 10309/10792 [1:09:47<02:22,  3.40it/s, loss=0.0972, rank=0.0657, reg=0.0316]
train epoch 1/1:  96%|█████████▌| 10310/10792 [1:09:47<02:31,  3.18it/s, loss=0.0972, rank=0.0657, reg=0.0316]
train epoch 1/1:  96%|█████████▌| 10310/10792 [1:09:48<02:31,  3.18it/s, loss=0.1658, rank=0.1240, reg=0.0417]
train epoch 1/1:  96%|█████████▌| 10311/10792 [1:09:48<03:28,  2.30it/s, loss=0.1658, rank=0.1240, reg=0.0417]
train epoch 1/1:  96%|█████████▌| 10311/10792 [1:09:48<03:28,  2.30it/s, loss=0.0806, rank=0.0434, reg=0.0372]
train epoch 1/1:  96%|█████████▌| 10312/10792 [1:09:48<02:43,  2.93it/s, loss=0.0806, rank=0.0434, reg=0.0372]
train epoch 1/1:  96%|█████████▌| 10312/10792 [1:09:48<02:43,  2.93it/s, loss=0.0650, rank=0.0392, reg=0.0258]
train epoch 1/1:  96%|█████████▌| 10313/10792 [1:09:48<02:38,  3.03it/s, loss=0.0650, rank=0.0392, reg=0.0258]
train epoch 1/1:  96%|█████████▌| 10313/10792 [1:09:49<02:38,  3.03it/s, loss=0.0859, rank=0.0601, reg=0.0258]
train epoch 1/1:  96%|█████████▌| 10314/10792 [1:09:49<03:15,  2.45it/s, loss=0.0859, rank=0.0601, reg=0.0258]
train epoch 1/1:  96%|█████████▌| 10314/10792 [1:09:49<03:15,  2.45it/s, loss=0.0503, rank=0.0301, reg=0.0202]
train epoch 1/1:  96%|█████████▌| 10315/10792 [1:09:49<03:24,  2.34it/s, loss=0.0503, rank=0.0301, reg=0.0202]
train epoch 1/1:  96%|█████████▌| 10315/10792 [1:09:50<03:24,  2.34it/s, loss=0.0765, rank=0.0428, reg=0.0337]
train epoch 1/1:  96%|█████████▌| 10316/10792 [1:09:50<03:52,  2.05it/s, loss=0.0765, rank=0.0428, reg=0.0337]
train epoch 1/1:  96%|█████████▌| 10316/10792 [1:09:50<03:52,  2.05it/s, loss=0.1058, rank=0.0875, reg=0.0184]
train epoch 1/1:  96%|█████████▌| 10317/10792 [1:09:50<03:12,  2.47it/s, loss=0.1058, rank=0.0875, reg=0.0184]
train epoch 1/1:  96%|█████████▌| 10317/10792 [1:09:50<03:12,  2.47it/s, loss=0.1209, rank=0.1048, reg=0.0161]
train epoch 1/1:  96%|█████████▌| 10318/10792 [1:09:50<02:43,  2.91it/s, loss=0.1209, rank=0.1048, reg=0.0161]
train epoch 1/1:  96%|█████████▌| 10318/10792 [1:09:51<02:43,  2.91it/s, loss=0.0742, rank=0.0476, reg=0.0266]
train epoch 1/1:  96%|█████████▌| 10319/10792 [1:09:51<03:28,  2.27it/s, loss=0.0742, rank=0.0476, reg=0.0266]
train epoch 1/1:  96%|█████████▌| 10319/10792 [1:09:51<03:28,  2.27it/s, loss=0.0717, rank=0.0336, reg=0.0381]
train epoch 1/1:  96%|█████████▌| 10320/10792 [1:09:51<03:49,  2.06it/s, loss=0.0717, rank=0.0336, reg=0.0381]
train epoch 1/1:  96%|█████████▌| 10320/10792 [1:09:52<03:49,  2.06it/s, loss=0.0819, rank=0.0466, reg=0.0354]
train epoch 1/1:  96%|█████████▌| 10321/10792 [1:09:52<03:20,  2.34it/s, loss=0.0819, rank=0.0466, reg=0.0354]
train epoch 1/1:  96%|█████████▌| 10321/10792 [1:09:52<03:20,  2.34it/s, loss=0.0594, rank=0.0322, reg=0.0272]
train epoch 1/1:  96%|█████████▌| 10322/10792 [1:09:52<02:55,  2.68it/s, loss=0.0594, rank=0.0322, reg=0.0272]
train epoch 1/1:  96%|█████████▌| 10322/10792 [1:09:53<02:55,  2.68it/s, loss=0.0613, rank=0.0404, reg=0.0209]
train epoch 1/1:  96%|█████████▌| 10323/10792 [1:09:53<03:41,  2.12it/s, loss=0.0613, rank=0.0404, reg=0.0209]
train epoch 1/1:  96%|█████████▌| 10323/10792 [1:09:53<03:41,  2.12it/s, loss=0.0808, rank=0.0628, reg=0.0180]
train epoch 1/1:  96%|█████████▌| 10324/10792 [1:09:53<03:38,  2.15it/s, loss=0.0808, rank=0.0628, reg=0.0180]
train epoch 1/1:  96%|█████████▌| 10324/10792 [1:09:53<03:38,  2.15it/s, loss=0.1019, rank=0.0380, reg=0.0639]
train epoch 1/1:  96%|█████████▌| 10325/10792 [1:09:53<03:11,  2.44it/s, loss=0.1019, rank=0.0380, reg=0.0639]
train epoch 1/1:  96%|█████████▌| 10325/10792 [1:09:54<03:11,  2.44it/s, loss=0.0205, rank=0.0001, reg=0.0204]
train epoch 1/1:  96%|█████████▌| 10326/10792 [1:09:54<04:14,  1.83it/s, loss=0.0205, rank=0.0001, reg=0.0204]
train epoch 1/1:  96%|█████████▌| 10326/10792 [1:09:55<04:14,  1.83it/s, loss=0.0404, rank=0.0205, reg=0.0199]
train epoch 1/1:  96%|█████████▌| 10327/10792 [1:09:55<03:34,  2.16it/s, loss=0.0404, rank=0.0205, reg=0.0199]
train epoch 1/1:  96%|█████████▌| 10327/10792 [1:09:55<03:34,  2.16it/s, loss=0.1434, rank=0.0252, reg=0.1182]
train epoch 1/1:  96%|█████████▌| 10328/10792 [1:09:55<03:20,  2.32it/s, loss=0.1434, rank=0.0252, reg=0.1182]
train epoch 1/1:  96%|█████████▌| 10328/10792 [1:09:55<03:20,  2.32it/s, loss=0.1234, rank=0.0395, reg=0.0839]
train epoch 1/1:  96%|█████████▌| 10329/10792 [1:09:55<02:48,  2.75it/s, loss=0.1234, rank=0.0395, reg=0.0839]
train epoch 1/1:  96%|█████████▌| 10329/10792 [1:09:55<02:48,  2.75it/s, loss=0.0971, rank=0.0555, reg=0.0417]
train epoch 1/1:  96%|█████████▌| 10330/10792 [1:09:55<02:40,  2.88it/s, loss=0.0971, rank=0.0555, reg=0.0417]
train epoch 1/1:  96%|█████████▌| 10330/10792 [1:09:56<02:40,  2.88it/s, loss=0.0895, rank=0.0587, reg=0.0307]
train epoch 1/1:  96%|█████████▌| 10331/10792 [1:09:56<03:56,  1.95it/s, loss=0.0895, rank=0.0587, reg=0.0307]
train epoch 1/1:  96%|█████████▌| 10331/10792 [1:09:56<03:56,  1.95it/s, loss=0.0561, rank=0.0333, reg=0.0228]
train epoch 1/1:  96%|█████████▌| 10332/10792 [1:09:56<03:03,  2.51it/s, loss=0.0561, rank=0.0333, reg=0.0228]
train epoch 1/1:  96%|█████████▌| 10332/10792 [1:09:57<03:03,  2.51it/s, loss=0.0887, rank=0.0699, reg=0.0188]
train epoch 1/1:  96%|█████████▌| 10333/10792 [1:09:57<03:08,  2.43it/s, loss=0.0887, rank=0.0699, reg=0.0188]
train epoch 1/1:  96%|█████████▌| 10333/10792 [1:09:57<03:08,  2.43it/s, loss=0.0958, rank=0.0766, reg=0.0193]
train epoch 1/1:  96%|█████████▌| 10334/10792 [1:09:57<02:43,  2.80it/s, loss=0.0958, rank=0.0766, reg=0.0193]
train epoch 1/1:  96%|█████████▌| 10334/10792 [1:09:57<02:43,  2.80it/s, loss=0.0740, rank=0.0466, reg=0.0274]
train epoch 1/1:  96%|█████████▌| 10335/10792 [1:09:57<02:19,  3.28it/s, loss=0.0740, rank=0.0466, reg=0.0274]
train epoch 1/1:  96%|█████████▌| 10335/10792 [1:09:59<02:19,  3.28it/s, loss=0.0560, rank=0.0228, reg=0.0333]
train epoch 1/1:  96%|█████████▌| 10336/10792 [1:09:59<04:33,  1.67it/s, loss=0.0560, rank=0.0228, reg=0.0333]
train epoch 1/1:  96%|█████████▌| 10336/10792 [1:09:59<04:33,  1.67it/s, loss=0.0752, rank=0.0634, reg=0.0119]
train epoch 1/1:  96%|█████████▌| 10337/10792 [1:09:59<03:41,  2.06it/s, loss=0.0752, rank=0.0634, reg=0.0119]
train epoch 1/1:  96%|█████████▌| 10337/10792 [1:09:59<03:41,  2.06it/s, loss=0.0480, rank=0.0367, reg=0.0113]
train epoch 1/1:  96%|█████████▌| 10338/10792 [1:09:59<03:41,  2.05it/s, loss=0.0480, rank=0.0367, reg=0.0113]
train epoch 1/1:  96%|█████████▌| 10338/10792 [1:10:00<03:41,  2.05it/s, loss=0.1132, rank=0.0908, reg=0.0224]
train epoch 1/1:  96%|█████████▌| 10339/10792 [1:10:00<03:19,  2.27it/s, loss=0.1132, rank=0.0908, reg=0.0224]
train epoch 1/1:  96%|█████████▌| 10339/10792 [1:10:00<03:19,  2.27it/s, loss=0.0617, rank=0.0311, reg=0.0306]
train epoch 1/1:  96%|█████████▌| 10340/10792 [1:10:00<03:54,  1.93it/s, loss=0.0617, rank=0.0311, reg=0.0306]
train epoch 1/1:  96%|█████████▌| 10340/10792 [1:10:01<03:54,  1.93it/s, loss=0.1273, rank=0.0666, reg=0.0607]
train epoch 1/1:  96%|█████████▌| 10341/10792 [1:10:01<04:19,  1.74it/s, loss=0.1273, rank=0.0666, reg=0.0607]
train epoch 1/1:  96%|█████████▌| 10341/10792 [1:10:02<04:19,  1.74it/s, loss=0.1712, rank=0.0491, reg=0.1221]
train epoch 1/1:  96%|█████████▌| 10342/10792 [1:10:02<04:53,  1.53it/s, loss=0.1712, rank=0.0491, reg=0.1221]
train epoch 1/1:  96%|█████████▌| 10342/10792 [1:10:02<04:53,  1.53it/s, loss=0.0726, rank=0.0488, reg=0.0239]
train epoch 1/1:  96%|█████████▌| 10343/10792 [1:10:02<03:51,  1.94it/s, loss=0.0726, rank=0.0488, reg=0.0239]
train epoch 1/1:  96%|█████████▌| 10343/10792 [1:10:02<03:51,  1.94it/s, loss=0.1318, rank=0.1061, reg=0.0257]
train epoch 1/1:  96%|█████████▌| 10344/10792 [1:10:02<03:16,  2.28it/s, loss=0.1318, rank=0.1061, reg=0.0257]
train epoch 1/1:  96%|█████████▌| 10344/10792 [1:10:02<03:16,  2.28it/s, loss=0.0690, rank=0.0510, reg=0.0180]
train epoch 1/1:  96%|█████████▌| 10345/10792 [1:10:02<02:32,  2.92it/s, loss=0.0690, rank=0.0510, reg=0.0180]
train epoch 1/1:  96%|█████████▌| 10345/10792 [1:10:03<02:32,  2.92it/s, loss=0.0550, rank=0.0260, reg=0.0289]
train epoch 1/1:  96%|█████████▌| 10346/10792 [1:10:03<03:21,  2.21it/s, loss=0.0550, rank=0.0260, reg=0.0289]
train epoch 1/1:  96%|█████████▌| 10346/10792 [1:10:03<03:21,  2.21it/s, loss=0.0507, rank=0.0333, reg=0.0174]
train epoch 1/1:  96%|█████████▌| 10347/10792 [1:10:03<02:46,  2.68it/s, loss=0.0507, rank=0.0333, reg=0.0174]
train epoch 1/1:  96%|█████████▌| 10347/10792 [1:10:04<02:46,  2.68it/s, loss=0.0442, rank=0.0376, reg=0.0066]
train epoch 1/1:  96%|█████████▌| 10348/10792 [1:10:04<02:48,  2.64it/s, loss=0.0442, rank=0.0376, reg=0.0066]
train epoch 1/1:  96%|█████████▌| 10348/10792 [1:10:04<02:48,  2.64it/s, loss=0.0941, rank=0.0617, reg=0.0324]
train epoch 1/1:  96%|█████████▌| 10349/10792 [1:10:04<02:23,  3.09it/s, loss=0.0941, rank=0.0617, reg=0.0324]
train epoch 1/1:  96%|█████████▌| 10349/10792 [1:10:04<02:23,  3.09it/s, loss=0.1007, rank=0.0766, reg=0.0241]
train epoch 1/1:  96%|█████████▌| 10350/10792 [1:10:04<02:39,  2.77it/s, loss=0.1007, rank=0.0766, reg=0.0241]
train epoch 1/1:  96%|█████████▌| 10350/10792 [1:10:05<02:39,  2.77it/s, loss=0.0983, rank=0.0463, reg=0.0519]
train epoch 1/1:  96%|█████████▌| 10351/10792 [1:10:05<02:33,  2.88it/s, loss=0.0983, rank=0.0463, reg=0.0519]
train epoch 1/1:  96%|█████████▌| 10351/10792 [1:10:05<02:33,  2.88it/s, loss=0.0655, rank=0.0488, reg=0.0167]
train epoch 1/1:  96%|█████████▌| 10352/10792 [1:10:05<02:43,  2.68it/s, loss=0.0655, rank=0.0488, reg=0.0167]
train epoch 1/1:  96%|█████████▌| 10352/10792 [1:10:05<02:43,  2.68it/s, loss=0.0761, rank=0.0728, reg=0.0032]
train epoch 1/1:  96%|█████████▌| 10353/10792 [1:10:05<02:41,  2.71it/s, loss=0.0761, rank=0.0728, reg=0.0032]
train epoch 1/1:  96%|█████████▌| 10353/10792 [1:10:06<02:41,  2.71it/s, loss=0.0590, rank=0.0432, reg=0.0159]
train epoch 1/1:  96%|█████████▌| 10354/10792 [1:10:06<02:36,  2.81it/s, loss=0.0590, rank=0.0432, reg=0.0159]
train epoch 1/1:  96%|█████████▌| 10354/10792 [1:10:06<02:36,  2.81it/s, loss=0.0708, rank=0.0307, reg=0.0401]
train epoch 1/1:  96%|█████████▌| 10355/10792 [1:10:06<02:23,  3.06it/s, loss=0.0708, rank=0.0307, reg=0.0401]
train epoch 1/1:  96%|█████████▌| 10355/10792 [1:10:07<02:23,  3.06it/s, loss=0.0908, rank=0.0581, reg=0.0327]
train epoch 1/1:  96%|█████████▌| 10356/10792 [1:10:07<02:54,  2.49it/s, loss=0.0908, rank=0.0581, reg=0.0327]
train epoch 1/1:  96%|█████████▌| 10356/10792 [1:10:07<02:54,  2.49it/s, loss=0.0589, rank=0.0325, reg=0.0264]
train epoch 1/1:  96%|█████████▌| 10357/10792 [1:10:07<03:34,  2.03it/s, loss=0.0589, rank=0.0325, reg=0.0264]
train epoch 1/1:  96%|█████████▌| 10357/10792 [1:10:08<03:34,  2.03it/s, loss=0.1039, rank=0.0602, reg=0.0437]
train epoch 1/1:  96%|█████████▌| 10358/10792 [1:10:08<03:01,  2.40it/s, loss=0.1039, rank=0.0602, reg=0.0437]
train epoch 1/1:  96%|█████████▌| 10358/10792 [1:10:08<03:01,  2.40it/s, loss=0.0362, rank=0.0151, reg=0.0211]
train epoch 1/1:  96%|█████████▌| 10359/10792 [1:10:08<02:47,  2.59it/s, loss=0.0362, rank=0.0151, reg=0.0211]
train epoch 1/1:  96%|█████████▌| 10359/10792 [1:10:09<02:47,  2.59it/s, loss=0.0459, rank=0.0345, reg=0.0114]
train epoch 1/1:  96%|█████████▌| 10360/10792 [1:10:09<03:37,  1.98it/s, loss=0.0459, rank=0.0345, reg=0.0114]
train epoch 1/1:  96%|█████████▌| 10360/10792 [1:10:09<03:37,  1.98it/s, loss=0.0395, rank=0.0330, reg=0.0065]
train epoch 1/1:  96%|█████████▌| 10361/10792 [1:10:09<03:05,  2.32it/s, loss=0.0395, rank=0.0330, reg=0.0065]
train epoch 1/1:  96%|█████████▌| 10361/10792 [1:10:10<03:05,  2.32it/s, loss=0.0986, rank=0.0858, reg=0.0128]
train epoch 1/1:  96%|█████████▌| 10362/10792 [1:10:10<04:20,  1.65it/s, loss=0.0986, rank=0.0858, reg=0.0128]
train epoch 1/1:  96%|█████████▌| 10362/10792 [1:10:11<04:20,  1.65it/s, loss=0.0454, rank=0.0207, reg=0.0247]
train epoch 1/1:  96%|█████████▌| 10363/10792 [1:10:11<04:18,  1.66it/s, loss=0.0454, rank=0.0207, reg=0.0247]
train epoch 1/1:  96%|█████████▌| 10363/10792 [1:10:11<04:18,  1.66it/s, loss=0.0920, rank=0.0477, reg=0.0443]
train epoch 1/1:  96%|█████████▌| 10364/10792 [1:10:11<04:34,  1.56it/s, loss=0.0920, rank=0.0477, reg=0.0443]
train epoch 1/1:  96%|█████████▌| 10364/10792 [1:10:12<04:34,  1.56it/s, loss=0.0263, rank=0.0214, reg=0.0050]
train epoch 1/1:  96%|█████████▌| 10365/10792 [1:10:12<03:43,  1.91it/s, loss=0.0263, rank=0.0214, reg=0.0050]
train epoch 1/1:  96%|█████████▌| 10365/10792 [1:10:12<03:43,  1.91it/s, loss=0.1079, rank=0.0411, reg=0.0667]
train epoch 1/1:  96%|█████████▌| 10366/10792 [1:10:12<03:24,  2.08it/s, loss=0.1079, rank=0.0411, reg=0.0667]
train epoch 1/1:  96%|█████████▌| 10366/10792 [1:10:13<03:24,  2.08it/s, loss=0.0369, rank=0.0119, reg=0.0249]
train epoch 1/1:  96%|█████████▌| 10367/10792 [1:10:13<03:55,  1.81it/s, loss=0.0369, rank=0.0119, reg=0.0249]
train epoch 1/1:  96%|█████████▌| 10367/10792 [1:10:13<03:55,  1.81it/s, loss=0.0974, rank=0.0553, reg=0.0421]
train epoch 1/1:  96%|█████████▌| 10368/10792 [1:10:13<03:17,  2.15it/s, loss=0.0974, rank=0.0553, reg=0.0421]
train epoch 1/1:  96%|█████████▌| 10368/10792 [1:10:13<03:17,  2.15it/s, loss=0.1005, rank=0.0601, reg=0.0404]
train epoch 1/1:  96%|█████████▌| 10369/10792 [1:10:13<02:44,  2.57it/s, loss=0.1005, rank=0.0601, reg=0.0404]
train epoch 1/1:  96%|█████████▌| 10369/10792 [1:10:14<02:44,  2.57it/s, loss=0.0922, rank=0.0286, reg=0.0636]
train epoch 1/1:  96%|█████████▌| 10370/10792 [1:10:14<03:34,  1.96it/s, loss=0.0922, rank=0.0286, reg=0.0636]
train epoch 1/1:  96%|█████████▌| 10370/10792 [1:10:14<03:34,  1.96it/s, loss=0.0566, rank=0.0427, reg=0.0139]
train epoch 1/1:  96%|█████████▌| 10371/10792 [1:10:14<03:07,  2.24it/s, loss=0.0566, rank=0.0427, reg=0.0139]
train epoch 1/1:  96%|█████████▌| 10371/10792 [1:10:14<03:07,  2.24it/s, loss=0.1700, rank=0.0667, reg=0.1034]
train epoch 1/1:  96%|█████████▌| 10372/10792 [1:10:14<02:31,  2.78it/s, loss=0.1700, rank=0.0667, reg=0.1034]
train epoch 1/1:  96%|█████████▌| 10372/10792 [1:10:15<02:31,  2.78it/s, loss=0.0500, rank=0.0094, reg=0.0407]
train epoch 1/1:  96%|█████████▌| 10373/10792 [1:10:15<03:21,  2.08it/s, loss=0.0500, rank=0.0094, reg=0.0407]
train epoch 1/1:  96%|█████████▌| 10373/10792 [1:10:15<03:21,  2.08it/s, loss=0.0450, rank=0.0112, reg=0.0339]
train epoch 1/1:  96%|█████████▌| 10374/10792 [1:10:15<02:54,  2.40it/s, loss=0.0450, rank=0.0112, reg=0.0339]
train epoch 1/1:  96%|█████████▌| 10374/10792 [1:10:16<02:54,  2.40it/s, loss=0.0712, rank=0.0519, reg=0.0194]
train epoch 1/1:  96%|█████████▌| 10375/10792 [1:10:16<02:36,  2.67it/s, loss=0.0712, rank=0.0519, reg=0.0194]
train epoch 1/1:  96%|█████████▌| 10375/10792 [1:10:16<02:36,  2.67it/s, loss=0.1239, rank=0.0562, reg=0.0676]
train epoch 1/1:  96%|█████████▌| 10376/10792 [1:10:16<02:05,  3.32it/s, loss=0.1239, rank=0.0562, reg=0.0676]
train epoch 1/1:  96%|█████████▌| 10376/10792 [1:10:16<02:05,  3.32it/s, loss=0.0731, rank=0.0415, reg=0.0317]
train epoch 1/1:  96%|█████████▌| 10377/10792 [1:10:16<02:12,  3.14it/s, loss=0.0731, rank=0.0415, reg=0.0317]
train epoch 1/1:  96%|█████████▌| 10377/10792 [1:10:16<02:12,  3.14it/s, loss=0.0953, rank=0.0717, reg=0.0237]
train epoch 1/1:  96%|█████████▌| 10378/10792 [1:10:16<01:51,  3.72it/s, loss=0.0953, rank=0.0717, reg=0.0237]
train epoch 1/1:  96%|█████████▌| 10378/10792 [1:10:17<01:51,  3.72it/s, loss=0.0242, rank=0.0078, reg=0.0164]
train epoch 1/1:  96%|█████████▌| 10379/10792 [1:10:17<01:55,  3.58it/s, loss=0.0242, rank=0.0078, reg=0.0164]
train epoch 1/1:  96%|█████████▌| 10379/10792 [1:10:17<01:55,  3.58it/s, loss=0.1232, rank=0.0709, reg=0.0523]
train epoch 1/1:  96%|█████████▌| 10380/10792 [1:10:17<01:35,  4.32it/s, loss=0.1232, rank=0.0709, reg=0.0523]
train epoch 1/1:  96%|█████████▌| 10380/10792 [1:10:18<01:35,  4.32it/s, loss=0.0627, rank=0.0158, reg=0.0469]
train epoch 1/1:  96%|█████████▌| 10381/10792 [1:10:18<02:44,  2.50it/s, loss=0.0627, rank=0.0158, reg=0.0469]
train epoch 1/1:  96%|█████████▌| 10381/10792 [1:10:18<02:44,  2.50it/s, loss=0.0518, rank=0.0377, reg=0.0141]
train epoch 1/1:  96%|█████████▌| 10382/10792 [1:10:18<02:26,  2.81it/s, loss=0.0518, rank=0.0377, reg=0.0141]
train epoch 1/1:  96%|█████████▌| 10382/10792 [1:10:18<02:26,  2.81it/s, loss=0.1248, rank=0.0000, reg=0.1248]
train epoch 1/1:  96%|█████████▌| 10383/10792 [1:10:18<02:33,  2.67it/s, loss=0.1248, rank=0.0000, reg=0.1248]
train epoch 1/1:  96%|█████████▌| 10383/10792 [1:10:19<02:33,  2.67it/s, loss=0.2382, rank=0.1936, reg=0.0446]
train epoch 1/1:  96%|█████████▌| 10384/10792 [1:10:19<03:22,  2.01it/s, loss=0.2382, rank=0.1936, reg=0.0446]
train epoch 1/1:  96%|█████████▌| 10384/10792 [1:10:19<03:22,  2.01it/s, loss=0.0434, rank=0.0259, reg=0.0175]
train epoch 1/1:  96%|█████████▌| 10385/10792 [1:10:19<02:58,  2.28it/s, loss=0.0434, rank=0.0259, reg=0.0175]
train epoch 1/1:  96%|█████████▌| 10385/10792 [1:10:20<02:58,  2.28it/s, loss=0.0382, rank=0.0134, reg=0.0248]
train epoch 1/1:  96%|█████████▌| 10386/10792 [1:10:20<02:52,  2.35it/s, loss=0.0382, rank=0.0134, reg=0.0248]
train epoch 1/1:  96%|█████████▌| 10386/10792 [1:10:20<02:52,  2.35it/s, loss=0.0753, rank=0.0488, reg=0.0265]
train epoch 1/1:  96%|█████████▌| 10387/10792 [1:10:20<03:13,  2.10it/s, loss=0.0753, rank=0.0488, reg=0.0265]
train epoch 1/1:  96%|█████████▌| 10387/10792 [1:10:20<03:13,  2.10it/s, loss=0.1249, rank=0.0896, reg=0.0353]
train epoch 1/1:  96%|█████████▋| 10388/10792 [1:10:20<02:30,  2.68it/s, loss=0.1249, rank=0.0896, reg=0.0353]
train epoch 1/1:  96%|█████████▋| 10388/10792 [1:10:21<02:30,  2.68it/s, loss=0.0682, rank=0.0566, reg=0.0117]
train epoch 1/1:  96%|█████████▋| 10389/10792 [1:10:21<02:09,  3.11it/s, loss=0.0682, rank=0.0566, reg=0.0117]
train epoch 1/1:  96%|█████████▋| 10389/10792 [1:10:21<02:09,  3.11it/s, loss=0.0355, rank=0.0137, reg=0.0217]
train epoch 1/1:  96%|█████████▋| 10390/10792 [1:10:21<02:01,  3.30it/s, loss=0.0355, rank=0.0137, reg=0.0217]
train epoch 1/1:  96%|█████████▋| 10390/10792 [1:10:21<02:01,  3.30it/s, loss=0.0766, rank=0.0659, reg=0.0107]
train epoch 1/1:  96%|█████████▋| 10391/10792 [1:10:21<01:52,  3.57it/s, loss=0.0766, rank=0.0659, reg=0.0107]
train epoch 1/1:  96%|█████████▋| 10391/10792 [1:10:22<01:52,  3.57it/s, loss=0.0932, rank=0.0584, reg=0.0348]
train epoch 1/1:  96%|█████████▋| 10392/10792 [1:10:22<02:36,  2.56it/s, loss=0.0932, rank=0.0584, reg=0.0348]
train epoch 1/1:  96%|█████████▋| 10392/10792 [1:10:22<02:36,  2.56it/s, loss=0.0322, rank=0.0126, reg=0.0196]
train epoch 1/1:  96%|█████████▋| 10393/10792 [1:10:22<02:45,  2.41it/s, loss=0.0322, rank=0.0126, reg=0.0196]
train epoch 1/1:  96%|█████████▋| 10393/10792 [1:10:23<02:45,  2.41it/s, loss=0.0749, rank=0.0490, reg=0.0259]
train epoch 1/1:  96%|█████████▋| 10394/10792 [1:10:23<02:54,  2.27it/s, loss=0.0749, rank=0.0490, reg=0.0259]
train epoch 1/1:  96%|█████████▋| 10394/10792 [1:10:23<02:54,  2.27it/s, loss=0.0492, rank=0.0247, reg=0.0245]
train epoch 1/1:  96%|█████████▋| 10395/10792 [1:10:23<02:41,  2.46it/s, loss=0.0492, rank=0.0247, reg=0.0245]
train epoch 1/1:  96%|█████████▋| 10395/10792 [1:10:23<02:41,  2.46it/s, loss=0.0925, rank=0.0201, reg=0.0724]
train epoch 1/1:  96%|█████████▋| 10396/10792 [1:10:23<02:31,  2.61it/s, loss=0.0925, rank=0.0201, reg=0.0724]
train epoch 1/1:  96%|█████████▋| 10396/10792 [1:10:24<02:31,  2.61it/s, loss=0.0617, rank=0.0385, reg=0.0232]
train epoch 1/1:  96%|█████████▋| 10397/10792 [1:10:24<02:32,  2.58it/s, loss=0.0617, rank=0.0385, reg=0.0232]
train epoch 1/1:  96%|█████████▋| 10397/10792 [1:10:25<02:32,  2.58it/s, loss=0.0701, rank=0.0274, reg=0.0427]
train epoch 1/1:  96%|█████████▋| 10398/10792 [1:10:25<03:16,  2.00it/s, loss=0.0701, rank=0.0274, reg=0.0427]
train epoch 1/1:  96%|█████████▋| 10398/10792 [1:10:25<03:16,  2.00it/s, loss=0.0559, rank=0.0370, reg=0.0189]
train epoch 1/1:  96%|█████████▋| 10399/10792 [1:10:25<02:56,  2.23it/s, loss=0.0559, rank=0.0370, reg=0.0189]
train epoch 1/1:  96%|█████████▋| 10399/10792 [1:10:25<02:56,  2.23it/s, loss=0.0234, rank=0.0114, reg=0.0120]
train epoch 1/1:  96%|█████████▋| 10400/10792 [1:10:25<02:29,  2.61it/s, loss=0.0234, rank=0.0114, reg=0.0120]
train epoch 1/1:  96%|█████████▋| 10400/10792 [1:10:25<02:29,  2.61it/s, loss=0.0698, rank=0.0595, reg=0.0103]
train epoch 1/1:  96%|█████████▋| 10401/10792 [1:10:25<02:27,  2.65it/s, loss=0.0698, rank=0.0595, reg=0.0103]
train epoch 1/1:  96%|█████████▋| 10401/10792 [1:10:26<02:27,  2.65it/s, loss=0.1471, rank=0.0979, reg=0.0492]
train epoch 1/1:  96%|█████████▋| 10402/10792 [1:10:26<02:07,  3.05it/s, loss=0.1471, rank=0.0979, reg=0.0492]
train epoch 1/1:  96%|█████████▋| 10402/10792 [1:10:26<02:07,  3.05it/s, loss=0.0529, rank=0.0409, reg=0.0120]
train epoch 1/1:  96%|█████████▋| 10403/10792 [1:10:26<02:06,  3.07it/s, loss=0.0529, rank=0.0409, reg=0.0120]
train epoch 1/1:  96%|█████████▋| 10403/10792 [1:10:27<02:06,  3.07it/s, loss=0.0252, rank=0.0124, reg=0.0129]
train epoch 1/1:  96%|█████████▋| 10404/10792 [1:10:27<02:58,  2.17it/s, loss=0.0252, rank=0.0124, reg=0.0129]
train epoch 1/1:  96%|█████████▋| 10404/10792 [1:10:27<02:58,  2.17it/s, loss=0.1428, rank=0.0725, reg=0.0704]
train epoch 1/1:  96%|█████████▋| 10405/10792 [1:10:27<02:22,  2.72it/s, loss=0.1428, rank=0.0725, reg=0.0704]
train epoch 1/1:  96%|█████████▋| 10405/10792 [1:10:27<02:22,  2.72it/s, loss=0.1129, rank=0.0773, reg=0.0356]
train epoch 1/1:  96%|█████████▋| 10406/10792 [1:10:27<02:03,  3.13it/s, loss=0.1129, rank=0.0773, reg=0.0356]
train epoch 1/1:  96%|█████████▋| 10406/10792 [1:10:27<02:03,  3.13it/s, loss=0.1175, rank=0.0565, reg=0.0610]
train epoch 1/1:  96%|█████████▋| 10407/10792 [1:10:27<01:48,  3.54it/s, loss=0.1175, rank=0.0565, reg=0.0610]
train epoch 1/1:  96%|█████████▋| 10407/10792 [1:10:28<01:48,  3.54it/s, loss=0.0573, rank=0.0124, reg=0.0450]
train epoch 1/1:  96%|█████████▋| 10408/10792 [1:10:28<02:09,  2.97it/s, loss=0.0573, rank=0.0124, reg=0.0450]
train epoch 1/1:  96%|█████████▋| 10408/10792 [1:10:28<02:09,  2.97it/s, loss=0.0434, rank=0.0259, reg=0.0175]
train epoch 1/1:  96%|█████████▋| 10409/10792 [1:10:28<02:30,  2.55it/s, loss=0.0434, rank=0.0259, reg=0.0175]
train epoch 1/1:  96%|█████████▋| 10409/10792 [1:10:29<02:30,  2.55it/s, loss=0.0630, rank=0.0466, reg=0.0164]
train epoch 1/1:  96%|█████████▋| 10410/10792 [1:10:29<02:49,  2.25it/s, loss=0.0630, rank=0.0466, reg=0.0164]
train epoch 1/1:  96%|█████████▋| 10410/10792 [1:10:30<02:49,  2.25it/s, loss=0.0400, rank=0.0205, reg=0.0194]
train epoch 1/1:  96%|█████████▋| 10411/10792 [1:10:30<03:42,  1.71it/s, loss=0.0400, rank=0.0205, reg=0.0194]
train epoch 1/1:  96%|█████████▋| 10411/10792 [1:10:31<03:42,  1.71it/s, loss=0.0632, rank=0.0277, reg=0.0355]
train epoch 1/1:  96%|█████████▋| 10412/10792 [1:10:31<04:02,  1.57it/s, loss=0.0632, rank=0.0277, reg=0.0355]
train epoch 1/1:  96%|█████████▋| 10412/10792 [1:10:31<04:02,  1.57it/s, loss=0.1090, rank=0.0430, reg=0.0660]
train epoch 1/1:  96%|█████████▋| 10413/10792 [1:10:31<04:14,  1.49it/s, loss=0.1090, rank=0.0430, reg=0.0660]
train epoch 1/1:  96%|█████████▋| 10413/10792 [1:10:32<04:14,  1.49it/s, loss=0.0318, rank=0.0119, reg=0.0198]
train epoch 1/1:  96%|█████████▋| 10414/10792 [1:10:32<03:38,  1.73it/s, loss=0.0318, rank=0.0119, reg=0.0198]
train epoch 1/1:  96%|█████████▋| 10414/10792 [1:10:32<03:38,  1.73it/s, loss=0.0450, rank=0.0239, reg=0.0211]
train epoch 1/1:  97%|█████████▋| 10415/10792 [1:10:32<02:51,  2.19it/s, loss=0.0450, rank=0.0239, reg=0.0211]
train epoch 1/1:  97%|█████████▋| 10415/10792 [1:10:32<02:51,  2.19it/s, loss=0.0667, rank=0.0556, reg=0.0110]
train epoch 1/1:  97%|█████████▋| 10416/10792 [1:10:32<02:36,  2.40it/s, loss=0.0667, rank=0.0556, reg=0.0110]
train epoch 1/1:  97%|█████████▋| 10416/10792 [1:10:32<02:36,  2.40it/s, loss=0.0588, rank=0.0423, reg=0.0165]
train epoch 1/1:  97%|█████████▋| 10417/10792 [1:10:32<02:25,  2.58it/s, loss=0.0588, rank=0.0423, reg=0.0165]
train epoch 1/1:  97%|█████████▋| 10417/10792 [1:10:33<02:25,  2.58it/s, loss=0.0506, rank=0.0300, reg=0.0206]
train epoch 1/1:  97%|█████████▋| 10418/10792 [1:10:33<02:11,  2.84it/s, loss=0.0506, rank=0.0300, reg=0.0206]
train epoch 1/1:  97%|█████████▋| 10418/10792 [1:10:33<02:11,  2.84it/s, loss=0.1290, rank=0.0186, reg=0.1103]
train epoch 1/1:  97%|█████████▋| 10419/10792 [1:10:33<02:35,  2.40it/s, loss=0.1290, rank=0.0186, reg=0.1103]
train epoch 1/1:  97%|█████████▋| 10419/10792 [1:10:34<02:35,  2.40it/s, loss=0.1733, rank=0.0603, reg=0.1129]
train epoch 1/1:  97%|█████████▋| 10420/10792 [1:10:34<02:22,  2.60it/s, loss=0.1733, rank=0.0603, reg=0.1129]
train epoch 1/1:  97%|█████████▋| 10420/10792 [1:10:34<02:22,  2.60it/s, loss=0.0864, rank=0.0710, reg=0.0154]
train epoch 1/1:  97%|█████████▋| 10420/10792 [1:10:34<02:22,  2.60it/s, loss=0.1181, rank=0.0569, reg=0.0612]
train epoch 1/1:  97%|█████████▋| 10422/10792 [1:10:34<01:45,  3.50it/s, loss=0.1181, rank=0.0569, reg=0.0612]
train epoch 1/1:  97%|█████████▋| 10422/10792 [1:10:34<01:45,  3.50it/s, loss=0.2814, rank=0.0206, reg=0.2607]
train epoch 1/1:  97%|█████████▋| 10423/10792 [1:10:34<02:05,  2.94it/s, loss=0.2814, rank=0.0206, reg=0.2607]
train epoch 1/1:  97%|█████████▋| 10423/10792 [1:10:35<02:05,  2.94it/s, loss=0.0642, rank=0.0148, reg=0.0494]
train epoch 1/1:  97%|█████████▋| 10424/10792 [1:10:35<01:52,  3.27it/s, loss=0.0642, rank=0.0148, reg=0.0494]
train epoch 1/1:  97%|█████████▋| 10424/10792 [1:10:35<01:52,  3.27it/s, loss=0.0669, rank=0.0172, reg=0.0497]
train epoch 1/1:  97%|█████████▋| 10425/10792 [1:10:35<02:15,  2.71it/s, loss=0.0669, rank=0.0172, reg=0.0497]
train epoch 1/1:  97%|█████████▋| 10425/10792 [1:10:36<02:15,  2.71it/s, loss=0.0519, rank=0.0329, reg=0.0190]
train epoch 1/1:  97%|█████████▋| 10426/10792 [1:10:36<02:51,  2.13it/s, loss=0.0519, rank=0.0329, reg=0.0190]
train epoch 1/1:  97%|█████████▋| 10426/10792 [1:10:36<02:51,  2.13it/s, loss=0.0496, rank=0.0187, reg=0.0309]
train epoch 1/1:  97%|█████████▋| 10427/10792 [1:10:36<02:49,  2.15it/s, loss=0.0496, rank=0.0187, reg=0.0309]
train epoch 1/1:  97%|█████████▋| 10427/10792 [1:10:37<02:49,  2.15it/s, loss=0.0594, rank=0.0250, reg=0.0344]
train epoch 1/1:  97%|█████████▋| 10428/10792 [1:10:37<03:22,  1.79it/s, loss=0.0594, rank=0.0250, reg=0.0344]
train epoch 1/1:  97%|█████████▋| 10428/10792 [1:10:37<03:22,  1.79it/s, loss=0.1441, rank=0.0562, reg=0.0879]
train epoch 1/1:  97%|█████████▋| 10429/10792 [1:10:37<02:55,  2.06it/s, loss=0.1441, rank=0.0562, reg=0.0879]
train epoch 1/1:  97%|█████████▋| 10429/10792 [1:10:38<02:55,  2.06it/s, loss=0.0546, rank=0.0382, reg=0.0164]
train epoch 1/1:  97%|█████████▋| 10430/10792 [1:10:38<02:52,  2.10it/s, loss=0.0546, rank=0.0382, reg=0.0164]
train epoch 1/1:  97%|█████████▋| 10430/10792 [1:10:38<02:52,  2.10it/s, loss=0.1457, rank=0.1167, reg=0.0290]
train epoch 1/1:  97%|█████████▋| 10431/10792 [1:10:38<02:57,  2.03it/s, loss=0.1457, rank=0.1167, reg=0.0290]
train epoch 1/1:  97%|█████████▋| 10431/10792 [1:10:39<02:57,  2.03it/s, loss=0.1068, rank=0.0372, reg=0.0695]
train epoch 1/1:  97%|█████████▋| 10432/10792 [1:10:39<02:35,  2.32it/s, loss=0.1068, rank=0.0372, reg=0.0695]
train epoch 1/1:  97%|█████████▋| 10432/10792 [1:10:39<02:35,  2.32it/s, loss=0.0577, rank=0.0252, reg=0.0325]
train epoch 1/1:  97%|█████████▋| 10433/10792 [1:10:39<02:59,  2.00it/s, loss=0.0577, rank=0.0252, reg=0.0325]
train epoch 1/1:  97%|█████████▋| 10433/10792 [1:10:40<02:59,  2.00it/s, loss=0.0746, rank=0.0556, reg=0.0189]
train epoch 1/1:  97%|█████████▋| 10434/10792 [1:10:40<02:34,  2.32it/s, loss=0.0746, rank=0.0556, reg=0.0189]
train epoch 1/1:  97%|█████████▋| 10434/10792 [1:10:40<02:34,  2.32it/s, loss=0.1230, rank=0.0678, reg=0.0552]
train epoch 1/1:  97%|█████████▋| 10435/10792 [1:10:40<02:52,  2.07it/s, loss=0.1230, rank=0.0678, reg=0.0552]
train epoch 1/1:  97%|█████████▋| 10435/10792 [1:10:41<02:52,  2.07it/s, loss=0.0748, rank=0.0352, reg=0.0397]
train epoch 1/1:  97%|█████████▋| 10436/10792 [1:10:41<03:40,  1.61it/s, loss=0.0748, rank=0.0352, reg=0.0397]
train epoch 1/1:  97%|█████████▋| 10436/10792 [1:10:42<03:40,  1.61it/s, loss=0.0801, rank=0.0208, reg=0.0593]
train epoch 1/1:  97%|█████████▋| 10437/10792 [1:10:42<03:36,  1.64it/s, loss=0.0801, rank=0.0208, reg=0.0593]
train epoch 1/1:  97%|█████████▋| 10437/10792 [1:10:42<03:36,  1.64it/s, loss=0.1130, rank=0.0627, reg=0.0503]
train epoch 1/1:  97%|█████████▋| 10438/10792 [1:10:42<03:05,  1.91it/s, loss=0.1130, rank=0.0627, reg=0.0503]
train epoch 1/1:  97%|█████████▋| 10438/10792 [1:10:42<03:05,  1.91it/s, loss=0.0862, rank=0.0503, reg=0.0359]
train epoch 1/1:  97%|█████████▋| 10439/10792 [1:10:42<02:47,  2.10it/s, loss=0.0862, rank=0.0503, reg=0.0359]
train epoch 1/1:  97%|█████████▋| 10439/10792 [1:10:43<02:47,  2.10it/s, loss=0.0574, rank=0.0223, reg=0.0351]
train epoch 1/1:  97%|█████████▋| 10440/10792 [1:10:43<02:58,  1.97it/s, loss=0.0574, rank=0.0223, reg=0.0351]
train epoch 1/1:  97%|█████████▋| 10440/10792 [1:10:44<02:58,  1.97it/s, loss=0.0893, rank=0.0396, reg=0.0497]
train epoch 1/1:  97%|█████████▋| 10441/10792 [1:10:44<03:02,  1.93it/s, loss=0.0893, rank=0.0396, reg=0.0497]
train epoch 1/1:  97%|█████████▋| 10441/10792 [1:10:44<03:02,  1.93it/s, loss=0.0248, rank=0.0104, reg=0.0145]
train epoch 1/1:  97%|█████████▋| 10442/10792 [1:10:44<02:33,  2.29it/s, loss=0.0248, rank=0.0104, reg=0.0145]
train epoch 1/1:  97%|█████████▋| 10442/10792 [1:10:44<02:33,  2.29it/s, loss=0.0788, rank=0.0409, reg=0.0379]
train epoch 1/1:  97%|█████████▋| 10443/10792 [1:10:44<02:27,  2.36it/s, loss=0.0788, rank=0.0409, reg=0.0379]
train epoch 1/1:  97%|█████████▋| 10443/10792 [1:10:45<02:27,  2.36it/s, loss=0.0925, rank=0.0526, reg=0.0399]
train epoch 1/1:  97%|█████████▋| 10444/10792 [1:10:45<02:49,  2.05it/s, loss=0.0925, rank=0.0526, reg=0.0399]
train epoch 1/1:  97%|█████████▋| 10444/10792 [1:10:45<02:49,  2.05it/s, loss=0.1003, rank=0.0811, reg=0.0191]
train epoch 1/1:  97%|█████████▋| 10445/10792 [1:10:45<02:35,  2.23it/s, loss=0.1003, rank=0.0811, reg=0.0191]
train epoch 1/1:  97%|█████████▋| 10445/10792 [1:10:46<02:35,  2.23it/s, loss=0.0980, rank=0.0705, reg=0.0275]
train epoch 1/1:  97%|█████████▋| 10446/10792 [1:10:46<02:26,  2.36it/s, loss=0.0980, rank=0.0705, reg=0.0275]
train epoch 1/1:  97%|█████████▋| 10446/10792 [1:10:46<02:26,  2.36it/s, loss=0.1198, rank=0.0883, reg=0.0315]
train epoch 1/1:  97%|█████████▋| 10447/10792 [1:10:46<02:46,  2.07it/s, loss=0.1198, rank=0.0883, reg=0.0315]
train epoch 1/1:  97%|█████████▋| 10447/10792 [1:10:46<02:46,  2.07it/s, loss=0.0872, rank=0.0457, reg=0.0415]
train epoch 1/1:  97%|█████████▋| 10448/10792 [1:10:46<02:20,  2.45it/s, loss=0.0872, rank=0.0457, reg=0.0415]
train epoch 1/1:  97%|█████████▋| 10448/10792 [1:10:47<02:20,  2.45it/s, loss=0.0758, rank=0.0528, reg=0.0230]
train epoch 1/1:  97%|█████████▋| 10449/10792 [1:10:47<02:01,  2.81it/s, loss=0.0758, rank=0.0528, reg=0.0230]
train epoch 1/1:  97%|█████████▋| 10449/10792 [1:10:47<02:01,  2.81it/s, loss=0.0788, rank=0.0479, reg=0.0309]
train epoch 1/1:  97%|█████████▋| 10450/10792 [1:10:47<01:56,  2.93it/s, loss=0.0788, rank=0.0479, reg=0.0309]
train epoch 1/1:  97%|█████████▋| 10450/10792 [1:10:47<01:56,  2.93it/s, loss=0.0675, rank=0.0505, reg=0.0170]
train epoch 1/1:  97%|█████████▋| 10451/10792 [1:10:47<02:05,  2.73it/s, loss=0.0675, rank=0.0505, reg=0.0170]
train epoch 1/1:  97%|█████████▋| 10451/10792 [1:10:48<02:05,  2.73it/s, loss=0.0752, rank=0.0329, reg=0.0422]
train epoch 1/1:  97%|█████████▋| 10452/10792 [1:10:48<02:56,  1.92it/s, loss=0.0752, rank=0.0329, reg=0.0422]
train epoch 1/1:  97%|█████████▋| 10452/10792 [1:10:49<02:56,  1.92it/s, loss=0.1062, rank=0.0524, reg=0.0538]
train epoch 1/1:  97%|█████████▋| 10453/10792 [1:10:49<03:20,  1.69it/s, loss=0.1062, rank=0.0524, reg=0.0538]
train epoch 1/1:  97%|█████████▋| 10453/10792 [1:10:50<03:20,  1.69it/s, loss=0.0770, rank=0.0314, reg=0.0456]
train epoch 1/1:  97%|█████████▋| 10454/10792 [1:10:50<03:27,  1.63it/s, loss=0.0770, rank=0.0314, reg=0.0456]
train epoch 1/1:  97%|█████████▋| 10454/10792 [1:10:50<03:27,  1.63it/s, loss=0.0701, rank=0.0332, reg=0.0369]
train epoch 1/1:  97%|█████████▋| 10455/10792 [1:10:50<02:39,  2.11it/s, loss=0.0701, rank=0.0332, reg=0.0369]
train epoch 1/1:  97%|█████████▋| 10455/10792 [1:10:50<02:39,  2.11it/s, loss=0.0429, rank=0.0316, reg=0.0112]
train epoch 1/1:  97%|█████████▋| 10456/10792 [1:10:50<02:38,  2.12it/s, loss=0.0429, rank=0.0316, reg=0.0112]
train epoch 1/1:  97%|█████████▋| 10456/10792 [1:10:51<02:38,  2.12it/s, loss=0.1119, rank=0.0456, reg=0.0662]
train epoch 1/1:  97%|█████████▋| 10457/10792 [1:10:51<02:35,  2.16it/s, loss=0.1119, rank=0.0456, reg=0.0662]
train epoch 1/1:  97%|█████████▋| 10457/10792 [1:10:51<02:35,  2.16it/s, loss=0.0436, rank=0.0365, reg=0.0070]
train epoch 1/1:  97%|█████████▋| 10458/10792 [1:10:51<02:10,  2.56it/s, loss=0.0436, rank=0.0365, reg=0.0070]
train epoch 1/1:  97%|█████████▋| 10458/10792 [1:10:51<02:10,  2.56it/s, loss=0.0424, rank=0.0337, reg=0.0087]
train epoch 1/1:  97%|█████████▋| 10459/10792 [1:10:51<01:48,  3.06it/s, loss=0.0424, rank=0.0337, reg=0.0087]
train epoch 1/1:  97%|█████████▋| 10459/10792 [1:10:52<01:48,  3.06it/s, loss=0.1164, rank=0.0243, reg=0.0921]
train epoch 1/1:  97%|█████████▋| 10460/10792 [1:10:52<02:52,  1.92it/s, loss=0.1164, rank=0.0243, reg=0.0921]
train epoch 1/1:  97%|█████████▋| 10460/10792 [1:10:52<02:52,  1.92it/s, loss=0.0873, rank=0.0521, reg=0.0352]
train epoch 1/1:  97%|█████████▋| 10461/10792 [1:10:52<02:22,  2.33it/s, loss=0.0873, rank=0.0521, reg=0.0352]
train epoch 1/1:  97%|█████████▋| 10461/10792 [1:10:53<02:22,  2.33it/s, loss=0.0337, rank=0.0192, reg=0.0145]
train epoch 1/1:  97%|█████████▋| 10462/10792 [1:10:53<02:24,  2.29it/s, loss=0.0337, rank=0.0192, reg=0.0145]
train epoch 1/1:  97%|█████████▋| 10462/10792 [1:10:53<02:24,  2.29it/s, loss=0.0757, rank=0.0395, reg=0.0362]
train epoch 1/1:  97%|█████████▋| 10463/10792 [1:10:53<02:15,  2.43it/s, loss=0.0757, rank=0.0395, reg=0.0362]
train epoch 1/1:  97%|█████████▋| 10463/10792 [1:10:54<02:15,  2.43it/s, loss=0.0440, rank=0.0226, reg=0.0214]
train epoch 1/1:  97%|█████████▋| 10464/10792 [1:10:54<02:11,  2.50it/s, loss=0.0440, rank=0.0226, reg=0.0214]
train epoch 1/1:  97%|█████████▋| 10464/10792 [1:10:54<02:11,  2.50it/s, loss=0.0447, rank=0.0115, reg=0.0332]
train epoch 1/1:  97%|█████████▋| 10465/10792 [1:10:54<01:47,  3.04it/s, loss=0.0447, rank=0.0115, reg=0.0332]
train epoch 1/1:  97%|█████████▋| 10465/10792 [1:10:54<01:47,  3.04it/s, loss=0.0912, rank=0.0345, reg=0.0567]
train epoch 1/1:  97%|█████████▋| 10466/10792 [1:10:54<01:32,  3.52it/s, loss=0.0912, rank=0.0345, reg=0.0567]
train epoch 1/1:  97%|█████████▋| 10466/10792 [1:10:54<01:32,  3.52it/s, loss=0.0848, rank=0.0353, reg=0.0495]
train epoch 1/1:  97%|█████████▋| 10467/10792 [1:10:54<01:16,  4.28it/s, loss=0.0848, rank=0.0353, reg=0.0495]
train epoch 1/1:  97%|█████████▋| 10467/10792 [1:10:55<01:16,  4.28it/s, loss=0.0523, rank=0.0332, reg=0.0192]
train epoch 1/1:  97%|█████████▋| 10468/10792 [1:10:55<02:04,  2.59it/s, loss=0.0523, rank=0.0332, reg=0.0192]
train epoch 1/1:  97%|█████████▋| 10468/10792 [1:10:55<02:04,  2.59it/s, loss=0.1332, rank=0.0372, reg=0.0960]
train epoch 1/1:  97%|█████████▋| 10469/10792 [1:10:55<02:04,  2.60it/s, loss=0.1332, rank=0.0372, reg=0.0960]
train epoch 1/1:  97%|█████████▋| 10469/10792 [1:10:55<02:04,  2.60it/s, loss=0.1171, rank=0.0687, reg=0.0483]
train epoch 1/1:  97%|█████████▋| 10470/10792 [1:10:55<01:39,  3.25it/s, loss=0.1171, rank=0.0687, reg=0.0483]
train epoch 1/1:  97%|█████████▋| 10470/10792 [1:10:55<01:39,  3.25it/s, loss=0.0425, rank=0.0286, reg=0.0139]
train epoch 1/1:  97%|█████████▋| 10471/10792 [1:10:55<01:26,  3.71it/s, loss=0.0425, rank=0.0286, reg=0.0139]
train epoch 1/1:  97%|█████████▋| 10471/10792 [1:10:56<01:26,  3.71it/s, loss=0.0189, rank=0.0000, reg=0.0189]
train epoch 1/1:  97%|█████████▋| 10472/10792 [1:10:56<01:15,  4.21it/s, loss=0.0189, rank=0.0000, reg=0.0189]
train epoch 1/1:  97%|█████████▋| 10472/10792 [1:10:56<01:15,  4.21it/s, loss=0.0821, rank=0.0116, reg=0.0704]
train epoch 1/1:  97%|█████████▋| 10473/10792 [1:10:56<01:27,  3.66it/s, loss=0.0821, rank=0.0116, reg=0.0704]
train epoch 1/1:  97%|█████████▋| 10473/10792 [1:10:57<01:27,  3.66it/s, loss=0.1005, rank=0.0694, reg=0.0311]
train epoch 1/1:  97%|█████████▋| 10474/10792 [1:10:57<02:11,  2.42it/s, loss=0.1005, rank=0.0694, reg=0.0311]
train epoch 1/1:  97%|█████████▋| 10474/10792 [1:10:57<02:11,  2.42it/s, loss=0.1003, rank=0.0257, reg=0.0746]
train epoch 1/1:  97%|█████████▋| 10475/10792 [1:10:57<01:50,  2.86it/s, loss=0.1003, rank=0.0257, reg=0.0746]
train epoch 1/1:  97%|█████████▋| 10475/10792 [1:10:57<01:50,  2.86it/s, loss=0.0845, rank=0.0403, reg=0.0442]
train epoch 1/1:  97%|█████████▋| 10476/10792 [1:10:57<01:55,  2.74it/s, loss=0.0845, rank=0.0403, reg=0.0442]
train epoch 1/1:  97%|█████████▋| 10476/10792 [1:10:58<01:55,  2.74it/s, loss=0.1217, rank=0.0360, reg=0.0857]
train epoch 1/1:  97%|█████████▋| 10477/10792 [1:10:58<02:01,  2.59it/s, loss=0.1217, rank=0.0360, reg=0.0857]
train epoch 1/1:  97%|█████████▋| 10477/10792 [1:10:58<02:01,  2.59it/s, loss=0.1109, rank=0.0568, reg=0.0541]
train epoch 1/1:  97%|█████████▋| 10478/10792 [1:10:58<02:14,  2.34it/s, loss=0.1109, rank=0.0568, reg=0.0541]
train epoch 1/1:  97%|█████████▋| 10478/10792 [1:10:58<02:14,  2.34it/s, loss=0.0475, rank=0.0245, reg=0.0230]
train epoch 1/1:  97%|█████████▋| 10479/10792 [1:10:58<01:49,  2.85it/s, loss=0.0475, rank=0.0245, reg=0.0230]
train epoch 1/1:  97%|█████████▋| 10479/10792 [1:10:59<01:49,  2.85it/s, loss=0.0704, rank=0.0332, reg=0.0372]
train epoch 1/1:  97%|█████████▋| 10480/10792 [1:10:59<01:47,  2.89it/s, loss=0.0704, rank=0.0332, reg=0.0372]
train epoch 1/1:  97%|█████████▋| 10480/10792 [1:10:59<01:47,  2.89it/s, loss=0.0602, rank=0.0290, reg=0.0313]
train epoch 1/1:  97%|█████████▋| 10481/10792 [1:10:59<02:20,  2.22it/s, loss=0.0602, rank=0.0290, reg=0.0313]
train epoch 1/1:  97%|█████████▋| 10481/10792 [1:11:00<02:20,  2.22it/s, loss=0.0788, rank=0.0668, reg=0.0120]
train epoch 1/1:  97%|█████████▋| 10482/10792 [1:11:00<02:01,  2.54it/s, loss=0.0788, rank=0.0668, reg=0.0120]
train epoch 1/1:  97%|█████████▋| 10482/10792 [1:11:00<02:01,  2.54it/s, loss=0.1373, rank=0.0551, reg=0.0821]
train epoch 1/1:  97%|█████████▋| 10483/10792 [1:11:00<01:47,  2.88it/s, loss=0.1373, rank=0.0551, reg=0.0821]
train epoch 1/1:  97%|█████████▋| 10483/10792 [1:11:00<01:47,  2.88it/s, loss=0.1045, rank=0.0444, reg=0.0600]
train epoch 1/1:  97%|█████████▋| 10484/10792 [1:11:00<01:30,  3.39it/s, loss=0.1045, rank=0.0444, reg=0.0600]
train epoch 1/1:  97%|█████████▋| 10484/10792 [1:11:00<01:30,  3.39it/s, loss=0.0579, rank=0.0403, reg=0.0176]
train epoch 1/1:  97%|█████████▋| 10485/10792 [1:11:00<01:17,  3.94it/s, loss=0.0579, rank=0.0403, reg=0.0176]
train epoch 1/1:  97%|█████████▋| 10485/10792 [1:11:01<01:17,  3.94it/s, loss=0.0509, rank=0.0415, reg=0.0094]
train epoch 1/1:  97%|█████████▋| 10486/10792 [1:11:01<02:05,  2.44it/s, loss=0.0509, rank=0.0415, reg=0.0094]
train epoch 1/1:  97%|█████████▋| 10486/10792 [1:11:01<02:05,  2.44it/s, loss=0.0738, rank=0.0390, reg=0.0348]
train epoch 1/1:  97%|█████████▋| 10487/10792 [1:11:01<01:38,  3.11it/s, loss=0.0738, rank=0.0390, reg=0.0348]
train epoch 1/1:  97%|█████████▋| 10487/10792 [1:11:02<01:38,  3.11it/s, loss=0.1160, rank=0.0483, reg=0.0677]
train epoch 1/1:  97%|█████████▋| 10488/10792 [1:11:02<01:41,  3.01it/s, loss=0.1160, rank=0.0483, reg=0.0677]
train epoch 1/1:  97%|█████████▋| 10488/10792 [1:11:02<01:41,  3.01it/s, loss=0.0633, rank=0.0391, reg=0.0242]
train epoch 1/1:  97%|█████████▋| 10489/10792 [1:11:02<01:23,  3.61it/s, loss=0.0633, rank=0.0391, reg=0.0242]
train epoch 1/1:  97%|█████████▋| 10489/10792 [1:11:02<01:23,  3.61it/s, loss=0.0307, rank=0.0234, reg=0.0073]
train epoch 1/1:  97%|█████████▋| 10490/10792 [1:11:02<01:46,  2.84it/s, loss=0.0307, rank=0.0234, reg=0.0073]
train epoch 1/1:  97%|█████████▋| 10490/10792 [1:11:03<01:46,  2.84it/s, loss=0.1162, rank=0.0747, reg=0.0414]
train epoch 1/1:  97%|█████████▋| 10491/10792 [1:11:03<02:02,  2.46it/s, loss=0.1162, rank=0.0747, reg=0.0414]
train epoch 1/1:  97%|█████████▋| 10491/10792 [1:11:03<02:02,  2.46it/s, loss=0.0644, rank=0.0417, reg=0.0227]
train epoch 1/1:  97%|█████████▋| 10492/10792 [1:11:03<01:43,  2.89it/s, loss=0.0644, rank=0.0417, reg=0.0227]
train epoch 1/1:  97%|█████████▋| 10492/10792 [1:11:03<01:43,  2.89it/s, loss=0.0914, rank=0.0499, reg=0.0415]
train epoch 1/1:  97%|█████████▋| 10493/10792 [1:11:03<02:01,  2.47it/s, loss=0.0914, rank=0.0499, reg=0.0415]
train epoch 1/1:  97%|█████████▋| 10493/10792 [1:11:04<02:01,  2.47it/s, loss=0.0552, rank=0.0000, reg=0.0552]
train epoch 1/1:  97%|█████████▋| 10494/10792 [1:11:04<02:35,  1.91it/s, loss=0.0552, rank=0.0000, reg=0.0552]
train epoch 1/1:  97%|█████████▋| 10494/10792 [1:11:04<02:35,  1.91it/s, loss=0.0994, rank=0.0889, reg=0.0105]
train epoch 1/1:  97%|█████████▋| 10495/10792 [1:11:04<02:04,  2.39it/s, loss=0.0994, rank=0.0889, reg=0.0105]
train epoch 1/1:  97%|█████████▋| 10495/10792 [1:11:05<02:04,  2.39it/s, loss=0.0363, rank=0.0123, reg=0.0240]
train epoch 1/1:  97%|█████████▋| 10496/10792 [1:11:05<01:46,  2.79it/s, loss=0.0363, rank=0.0123, reg=0.0240]
train epoch 1/1:  97%|█████████▋| 10496/10792 [1:11:05<01:46,  2.79it/s, loss=0.1952, rank=0.0723, reg=0.1229]
train epoch 1/1:  97%|█████████▋| 10497/10792 [1:11:05<02:01,  2.43it/s, loss=0.1952, rank=0.0723, reg=0.1229]
train epoch 1/1:  97%|█████████▋| 10497/10792 [1:11:05<02:01,  2.43it/s, loss=0.0838, rank=0.0485, reg=0.0353]
train epoch 1/1:  97%|█████████▋| 10498/10792 [1:11:05<01:40,  2.94it/s, loss=0.0838, rank=0.0485, reg=0.0353]
train epoch 1/1:  97%|█████████▋| 10498/10792 [1:11:06<01:40,  2.94it/s, loss=0.0950, rank=0.0565, reg=0.0385]
train epoch 1/1:  97%|█████████▋| 10499/10792 [1:11:06<01:29,  3.27it/s, loss=0.0950, rank=0.0565, reg=0.0385]
train epoch 1/1:  97%|█████████▋| 10499/10792 [1:11:06<01:29,  3.27it/s, loss=0.0683, rank=0.0483, reg=0.0200]
train epoch 1/1:  97%|█████████▋| 10500/10792 [1:11:06<02:04,  2.34it/s, loss=0.0683, rank=0.0483, reg=0.0200]
train epoch 1/1:  97%|█████████▋| 10500/10792 [1:11:07<02:04,  2.34it/s, loss=0.0525, rank=0.0307, reg=0.0218]
train epoch 1/1:  97%|█████████▋| 10501/10792 [1:11:07<02:07,  2.28it/s, loss=0.0525, rank=0.0307, reg=0.0218]
train epoch 1/1:  97%|█████████▋| 10501/10792 [1:11:08<02:07,  2.28it/s, loss=0.0357, rank=0.0299, reg=0.0058]
train epoch 1/1:  97%|█████████▋| 10502/10792 [1:11:08<02:41,  1.80it/s, loss=0.0357, rank=0.0299, reg=0.0058]
train epoch 1/1:  97%|█████████▋| 10502/10792 [1:11:08<02:41,  1.80it/s, loss=0.0668, rank=0.0361, reg=0.0307]
train epoch 1/1:  97%|█████████▋| 10503/10792 [1:11:08<02:19,  2.07it/s, loss=0.0668, rank=0.0361, reg=0.0307]
train epoch 1/1:  97%|█████████▋| 10503/10792 [1:11:09<02:19,  2.07it/s, loss=0.0597, rank=0.0239, reg=0.0359]
train epoch 1/1:  97%|█████████▋| 10504/10792 [1:11:09<02:26,  1.96it/s, loss=0.0597, rank=0.0239, reg=0.0359]
train epoch 1/1:  97%|█████████▋| 10504/10792 [1:11:09<02:26,  1.96it/s, loss=0.0509, rank=0.0211, reg=0.0298]
train epoch 1/1:  97%|█████████▋| 10505/10792 [1:11:09<02:20,  2.05it/s, loss=0.0509, rank=0.0211, reg=0.0298]
train epoch 1/1:  97%|█████████▋| 10505/10792 [1:11:09<02:20,  2.05it/s, loss=0.0271, rank=0.0048, reg=0.0224]
train epoch 1/1:  97%|█████████▋| 10506/10792 [1:11:09<02:02,  2.34it/s, loss=0.0271, rank=0.0048, reg=0.0224]
train epoch 1/1:  97%|█████████▋| 10506/10792 [1:11:10<02:02,  2.34it/s, loss=0.0861, rank=0.0672, reg=0.0190]
train epoch 1/1:  97%|█████████▋| 10507/10792 [1:11:10<01:53,  2.51it/s, loss=0.0861, rank=0.0672, reg=0.0190]
train epoch 1/1:  97%|█████████▋| 10507/10792 [1:11:10<01:53,  2.51it/s, loss=0.0519, rank=0.0404, reg=0.0115]
train epoch 1/1:  97%|█████████▋| 10508/10792 [1:11:10<01:38,  2.89it/s, loss=0.0519, rank=0.0404, reg=0.0115]
train epoch 1/1:  97%|█████████▋| 10508/10792 [1:11:10<01:38,  2.89it/s, loss=0.0484, rank=0.0256, reg=0.0228]
train epoch 1/1:  97%|█████████▋| 10509/10792 [1:11:10<01:20,  3.50it/s, loss=0.0484, rank=0.0256, reg=0.0228]
train epoch 1/1:  97%|█████████▋| 10509/10792 [1:11:10<01:20,  3.50it/s, loss=0.0366, rank=0.0000, reg=0.0366]
train epoch 1/1:  97%|█████████▋| 10510/10792 [1:11:10<01:30,  3.11it/s, loss=0.0366, rank=0.0000, reg=0.0366]
train epoch 1/1:  97%|█████████▋| 10510/10792 [1:11:11<01:30,  3.11it/s, loss=0.0411, rank=0.0269, reg=0.0142]
train epoch 1/1:  97%|█████████▋| 10511/10792 [1:11:11<02:02,  2.30it/s, loss=0.0411, rank=0.0269, reg=0.0142]
train epoch 1/1:  97%|█████████▋| 10511/10792 [1:11:11<02:02,  2.30it/s, loss=0.0577, rank=0.0216, reg=0.0361]
train epoch 1/1:  97%|█████████▋| 10512/10792 [1:11:11<01:50,  2.54it/s, loss=0.0577, rank=0.0216, reg=0.0361]
train epoch 1/1:  97%|█████████▋| 10512/10792 [1:11:12<01:50,  2.54it/s, loss=0.0295, rank=0.0097, reg=0.0199]
train epoch 1/1:  97%|█████████▋| 10513/10792 [1:11:12<02:04,  2.24it/s, loss=0.0295, rank=0.0097, reg=0.0199]
train epoch 1/1:  97%|█████████▋| 10513/10792 [1:11:13<02:04,  2.24it/s, loss=0.0589, rank=0.0309, reg=0.0280]
train epoch 1/1:  97%|█████████▋| 10514/10792 [1:11:13<02:31,  1.84it/s, loss=0.0589, rank=0.0309, reg=0.0280]
train epoch 1/1:  97%|█████████▋| 10514/10792 [1:11:13<02:31,  1.84it/s, loss=0.0429, rank=0.0379, reg=0.0050]
train epoch 1/1:  97%|█████████▋| 10515/10792 [1:11:13<02:31,  1.82it/s, loss=0.0429, rank=0.0379, reg=0.0050]
train epoch 1/1:  97%|█████████▋| 10515/10792 [1:11:13<02:31,  1.82it/s, loss=0.1702, rank=0.1038, reg=0.0664]
train epoch 1/1:  97%|█████████▋| 10516/10792 [1:11:13<02:00,  2.29it/s, loss=0.1702, rank=0.1038, reg=0.0664]
train epoch 1/1:  97%|█████████▋| 10516/10792 [1:11:14<02:00,  2.29it/s, loss=0.0769, rank=0.0207, reg=0.0562]
train epoch 1/1:  97%|█████████▋| 10517/10792 [1:11:14<02:04,  2.21it/s, loss=0.0769, rank=0.0207, reg=0.0562]
train epoch 1/1:  97%|█████████▋| 10517/10792 [1:11:14<02:04,  2.21it/s, loss=0.1271, rank=0.0273, reg=0.0998]
train epoch 1/1:  97%|█████████▋| 10518/10792 [1:11:14<01:53,  2.41it/s, loss=0.1271, rank=0.0273, reg=0.0998]
train epoch 1/1:  97%|█████████▋| 10518/10792 [1:11:15<01:53,  2.41it/s, loss=0.0254, rank=0.0074, reg=0.0180]
train epoch 1/1:  97%|█████████▋| 10519/10792 [1:11:15<02:09,  2.10it/s, loss=0.0254, rank=0.0074, reg=0.0180]
train epoch 1/1:  97%|█████████▋| 10519/10792 [1:11:15<02:09,  2.10it/s, loss=0.1449, rank=0.0425, reg=0.1024]
train epoch 1/1:  97%|█████████▋| 10520/10792 [1:11:15<02:06,  2.15it/s, loss=0.1449, rank=0.0425, reg=0.1024]
train epoch 1/1:  97%|█████████▋| 10520/10792 [1:11:16<02:06,  2.15it/s, loss=0.0809, rank=0.0349, reg=0.0459]
train epoch 1/1:  97%|█████████▋| 10521/10792 [1:11:16<02:29,  1.81it/s, loss=0.0809, rank=0.0349, reg=0.0459]
train epoch 1/1:  97%|█████████▋| 10521/10792 [1:11:16<02:29,  1.81it/s, loss=0.1378, rank=0.0975, reg=0.0403]
train epoch 1/1:  97%|█████████▋| 10522/10792 [1:11:16<02:08,  2.11it/s, loss=0.1378, rank=0.0975, reg=0.0403]
train epoch 1/1:  97%|█████████▋| 10522/10792 [1:11:17<02:08,  2.11it/s, loss=0.0219, rank=0.0094, reg=0.0125]
train epoch 1/1:  98%|█████████▊| 10523/10792 [1:11:17<01:59,  2.26it/s, loss=0.0219, rank=0.0094, reg=0.0125]
train epoch 1/1:  98%|█████████▊| 10523/10792 [1:11:17<01:59,  2.26it/s, loss=0.0706, rank=0.0218, reg=0.0488]
train epoch 1/1:  98%|█████████▊| 10524/10792 [1:11:17<01:41,  2.65it/s, loss=0.0706, rank=0.0218, reg=0.0488]
train epoch 1/1:  98%|█████████▊| 10524/10792 [1:11:18<01:41,  2.65it/s, loss=0.0672, rank=0.0338, reg=0.0334]
train epoch 1/1:  98%|█████████▊| 10525/10792 [1:11:18<02:44,  1.62it/s, loss=0.0672, rank=0.0338, reg=0.0334]
train epoch 1/1:  98%|█████████▊| 10525/10792 [1:11:18<02:44,  1.62it/s, loss=0.0745, rank=0.0289, reg=0.0456]
train epoch 1/1:  98%|█████████▊| 10526/10792 [1:11:18<02:24,  1.84it/s, loss=0.0745, rank=0.0289, reg=0.0456]
train epoch 1/1:  98%|█████████▊| 10526/10792 [1:11:19<02:24,  1.84it/s, loss=0.1286, rank=0.0827, reg=0.0459]
train epoch 1/1:  98%|█████████▊| 10527/10792 [1:11:19<02:04,  2.13it/s, loss=0.1286, rank=0.0827, reg=0.0459]
train epoch 1/1:  98%|█████████▊| 10527/10792 [1:11:19<02:04,  2.13it/s, loss=0.0421, rank=0.0187, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10528/10792 [1:11:19<01:57,  2.24it/s, loss=0.0421, rank=0.0187, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10528/10792 [1:11:19<01:57,  2.24it/s, loss=0.0928, rank=0.0442, reg=0.0486]
train epoch 1/1:  98%|█████████▊| 10529/10792 [1:11:19<01:36,  2.72it/s, loss=0.0928, rank=0.0442, reg=0.0486]
train epoch 1/1:  98%|█████████▊| 10529/10792 [1:11:19<01:36,  2.72it/s, loss=0.0982, rank=0.0580, reg=0.0402]
train epoch 1/1:  98%|█████████▊| 10530/10792 [1:11:19<01:17,  3.37it/s, loss=0.0982, rank=0.0580, reg=0.0402]
train epoch 1/1:  98%|█████████▊| 10530/10792 [1:11:20<01:17,  3.37it/s, loss=0.1062, rank=0.0529, reg=0.0534]
train epoch 1/1:  98%|█████████▊| 10531/10792 [1:11:20<01:45,  2.47it/s, loss=0.1062, rank=0.0529, reg=0.0534]
train epoch 1/1:  98%|█████████▊| 10531/10792 [1:11:21<01:45,  2.47it/s, loss=0.0281, rank=0.0150, reg=0.0131]
train epoch 1/1:  98%|█████████▊| 10532/10792 [1:11:21<02:11,  1.97it/s, loss=0.0281, rank=0.0150, reg=0.0131]
train epoch 1/1:  98%|█████████▊| 10532/10792 [1:11:21<02:11,  1.97it/s, loss=0.1265, rank=0.0856, reg=0.0409]
train epoch 1/1:  98%|█████████▊| 10533/10792 [1:11:21<01:49,  2.36it/s, loss=0.1265, rank=0.0856, reg=0.0409]
train epoch 1/1:  98%|█████████▊| 10533/10792 [1:11:22<01:49,  2.36it/s, loss=0.1213, rank=0.0356, reg=0.0857]
train epoch 1/1:  98%|█████████▊| 10534/10792 [1:11:22<01:57,  2.20it/s, loss=0.1213, rank=0.0356, reg=0.0857]
train epoch 1/1:  98%|█████████▊| 10534/10792 [1:11:22<01:57,  2.20it/s, loss=0.1081, rank=0.0503, reg=0.0578]
train epoch 1/1:  98%|█████████▊| 10535/10792 [1:11:22<01:33,  2.74it/s, loss=0.1081, rank=0.0503, reg=0.0578]
train epoch 1/1:  98%|█████████▊| 10535/10792 [1:11:22<01:33,  2.74it/s, loss=0.0531, rank=0.0383, reg=0.0148]
train epoch 1/1:  98%|█████████▊| 10536/10792 [1:11:22<01:20,  3.18it/s, loss=0.0531, rank=0.0383, reg=0.0148]
train epoch 1/1:  98%|█████████▊| 10536/10792 [1:11:23<01:20,  3.18it/s, loss=0.0949, rank=0.0715, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10537/10792 [1:11:23<01:53,  2.25it/s, loss=0.0949, rank=0.0715, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10537/10792 [1:11:23<01:53,  2.25it/s, loss=0.1880, rank=0.0370, reg=0.1510]
train epoch 1/1:  98%|█████████▊| 10538/10792 [1:11:23<01:46,  2.39it/s, loss=0.1880, rank=0.0370, reg=0.1510]
train epoch 1/1:  98%|█████████▊| 10538/10792 [1:11:24<01:46,  2.39it/s, loss=0.0924, rank=0.0702, reg=0.0222]
train epoch 1/1:  98%|█████████▊| 10539/10792 [1:11:24<02:17,  1.84it/s, loss=0.0924, rank=0.0702, reg=0.0222]
train epoch 1/1:  98%|█████████▊| 10539/10792 [1:11:24<02:17,  1.84it/s, loss=0.0501, rank=0.0265, reg=0.0236]
train epoch 1/1:  98%|█████████▊| 10540/10792 [1:11:24<01:44,  2.41it/s, loss=0.0501, rank=0.0265, reg=0.0236]
train epoch 1/1:  98%|█████████▊| 10540/10792 [1:11:25<01:44,  2.41it/s, loss=0.0485, rank=0.0046, reg=0.0438]
train epoch 1/1:  98%|█████████▊| 10541/10792 [1:11:25<01:57,  2.13it/s, loss=0.0485, rank=0.0046, reg=0.0438]
train epoch 1/1:  98%|█████████▊| 10541/10792 [1:11:25<01:57,  2.13it/s, loss=0.0628, rank=0.0400, reg=0.0228]
train epoch 1/1:  98%|█████████▊| 10542/10792 [1:11:25<01:56,  2.14it/s, loss=0.0628, rank=0.0400, reg=0.0228]
train epoch 1/1:  98%|█████████▊| 10542/10792 [1:11:25<01:56,  2.14it/s, loss=0.0972, rank=0.0537, reg=0.0434]
train epoch 1/1:  98%|█████████▊| 10543/10792 [1:11:25<01:32,  2.70it/s, loss=0.0972, rank=0.0537, reg=0.0434]
train epoch 1/1:  98%|█████████▊| 10543/10792 [1:11:26<01:32,  2.70it/s, loss=0.1061, rank=0.0596, reg=0.0465]
train epoch 1/1:  98%|█████████▊| 10544/10792 [1:11:26<01:25,  2.90it/s, loss=0.1061, rank=0.0596, reg=0.0465]
train epoch 1/1:  98%|█████████▊| 10544/10792 [1:11:26<01:25,  2.90it/s, loss=0.1012, rank=0.0585, reg=0.0427]
train epoch 1/1:  98%|█████████▊| 10545/10792 [1:11:26<01:56,  2.11it/s, loss=0.1012, rank=0.0585, reg=0.0427]
train epoch 1/1:  98%|█████████▊| 10545/10792 [1:11:27<01:56,  2.11it/s, loss=0.0312, rank=0.0247, reg=0.0065]
train epoch 1/1:  98%|█████████▊| 10546/10792 [1:11:27<02:09,  1.90it/s, loss=0.0312, rank=0.0247, reg=0.0065]
train epoch 1/1:  98%|█████████▊| 10546/10792 [1:11:27<02:09,  1.90it/s, loss=0.0672, rank=0.0367, reg=0.0305]
train epoch 1/1:  98%|█████████▊| 10547/10792 [1:11:27<01:42,  2.39it/s, loss=0.0672, rank=0.0367, reg=0.0305]
train epoch 1/1:  98%|█████████▊| 10547/10792 [1:11:27<01:42,  2.39it/s, loss=0.0801, rank=0.0528, reg=0.0273]
train epoch 1/1:  98%|█████████▊| 10548/10792 [1:11:27<01:21,  2.98it/s, loss=0.0801, rank=0.0528, reg=0.0273]
train epoch 1/1:  98%|█████████▊| 10548/10792 [1:11:27<01:21,  2.98it/s, loss=0.0533, rank=0.0494, reg=0.0039]
train epoch 1/1:  98%|█████████▊| 10549/10792 [1:11:27<01:09,  3.48it/s, loss=0.0533, rank=0.0494, reg=0.0039]
train epoch 1/1:  98%|█████████▊| 10549/10792 [1:11:28<01:09,  3.48it/s, loss=0.0809, rank=0.0391, reg=0.0417]
train epoch 1/1:  98%|█████████▊| 10550/10792 [1:11:28<01:24,  2.85it/s, loss=0.0809, rank=0.0391, reg=0.0417]
train epoch 1/1:  98%|█████████▊| 10550/10792 [1:11:29<01:24,  2.85it/s, loss=0.0846, rank=0.0399, reg=0.0447]
train epoch 1/1:  98%|█████████▊| 10551/10792 [1:11:29<01:52,  2.14it/s, loss=0.0846, rank=0.0399, reg=0.0447]
train epoch 1/1:  98%|█████████▊| 10551/10792 [1:11:29<01:52,  2.14it/s, loss=0.0784, rank=0.0494, reg=0.0290]
train epoch 1/1:  98%|█████████▊| 10552/10792 [1:11:29<01:32,  2.60it/s, loss=0.0784, rank=0.0494, reg=0.0290]
train epoch 1/1:  98%|█████████▊| 10552/10792 [1:11:30<01:32,  2.60it/s, loss=0.0898, rank=0.0485, reg=0.0413]
train epoch 1/1:  98%|█████████▊| 10553/10792 [1:11:30<01:54,  2.09it/s, loss=0.0898, rank=0.0485, reg=0.0413]
train epoch 1/1:  98%|█████████▊| 10553/10792 [1:11:30<01:54,  2.09it/s, loss=0.0844, rank=0.0464, reg=0.0380]
train epoch 1/1:  98%|█████████▊| 10554/10792 [1:11:30<01:36,  2.45it/s, loss=0.0844, rank=0.0464, reg=0.0380]
train epoch 1/1:  98%|█████████▊| 10554/10792 [1:11:30<01:36,  2.45it/s, loss=0.1773, rank=0.0286, reg=0.1487]
train epoch 1/1:  98%|█████████▊| 10555/10792 [1:11:30<01:29,  2.64it/s, loss=0.1773, rank=0.0286, reg=0.1487]
train epoch 1/1:  98%|█████████▊| 10555/10792 [1:11:30<01:29,  2.64it/s, loss=0.0859, rank=0.0636, reg=0.0223]
train epoch 1/1:  98%|█████████▊| 10556/10792 [1:11:30<01:26,  2.72it/s, loss=0.0859, rank=0.0636, reg=0.0223]
train epoch 1/1:  98%|█████████▊| 10556/10792 [1:11:31<01:26,  2.72it/s, loss=0.1469, rank=0.0436, reg=0.1033]
train epoch 1/1:  98%|█████████▊| 10557/10792 [1:11:31<01:31,  2.56it/s, loss=0.1469, rank=0.0436, reg=0.1033]
train epoch 1/1:  98%|█████████▊| 10557/10792 [1:11:31<01:31,  2.56it/s, loss=0.0351, rank=0.0263, reg=0.0089]
train epoch 1/1:  98%|█████████▊| 10558/10792 [1:11:31<01:21,  2.88it/s, loss=0.0351, rank=0.0263, reg=0.0089]
train epoch 1/1:  98%|█████████▊| 10558/10792 [1:11:32<01:21,  2.88it/s, loss=0.0395, rank=0.0196, reg=0.0199]
train epoch 1/1:  98%|█████████▊| 10559/10792 [1:11:32<01:43,  2.25it/s, loss=0.0395, rank=0.0196, reg=0.0199]
train epoch 1/1:  98%|█████████▊| 10559/10792 [1:11:32<01:43,  2.25it/s, loss=0.0841, rank=0.0746, reg=0.0095]
train epoch 1/1:  98%|█████████▊| 10560/10792 [1:11:32<01:46,  2.18it/s, loss=0.0841, rank=0.0746, reg=0.0095]
train epoch 1/1:  98%|█████████▊| 10560/10792 [1:11:33<01:46,  2.18it/s, loss=0.0533, rank=0.0219, reg=0.0314]
train epoch 1/1:  98%|█████████▊| 10561/10792 [1:11:33<01:34,  2.44it/s, loss=0.0533, rank=0.0219, reg=0.0314]
train epoch 1/1:  98%|█████████▊| 10561/10792 [1:11:33<01:34,  2.44it/s, loss=0.1444, rank=0.0452, reg=0.0992]
train epoch 1/1:  98%|█████████▊| 10562/10792 [1:11:33<01:21,  2.84it/s, loss=0.1444, rank=0.0452, reg=0.0992]
train epoch 1/1:  98%|█████████▊| 10562/10792 [1:11:33<01:21,  2.84it/s, loss=0.0236, rank=0.0205, reg=0.0031]
train epoch 1/1:  98%|█████████▊| 10563/10792 [1:11:33<01:40,  2.29it/s, loss=0.0236, rank=0.0205, reg=0.0031]
train epoch 1/1:  98%|█████████▊| 10563/10792 [1:11:34<01:40,  2.29it/s, loss=0.0841, rank=0.0412, reg=0.0429]
train epoch 1/1:  98%|█████████▊| 10564/10792 [1:11:34<01:29,  2.55it/s, loss=0.0841, rank=0.0412, reg=0.0429]
train epoch 1/1:  98%|█████████▊| 10564/10792 [1:11:34<01:29,  2.55it/s, loss=0.1418, rank=0.1115, reg=0.0304]
train epoch 1/1:  98%|█████████▊| 10565/10792 [1:11:34<01:18,  2.90it/s, loss=0.1418, rank=0.1115, reg=0.0304]
train epoch 1/1:  98%|█████████▊| 10565/10792 [1:11:35<01:18,  2.90it/s, loss=0.0651, rank=0.0241, reg=0.0410]
train epoch 1/1:  98%|█████████▊| 10566/10792 [1:11:35<01:46,  2.13it/s, loss=0.0651, rank=0.0241, reg=0.0410]
train epoch 1/1:  98%|█████████▊| 10566/10792 [1:11:35<01:46,  2.13it/s, loss=0.0611, rank=0.0216, reg=0.0394]
train epoch 1/1:  98%|█████████▊| 10567/10792 [1:11:35<01:26,  2.59it/s, loss=0.0611, rank=0.0216, reg=0.0394]
train epoch 1/1:  98%|█████████▊| 10567/10792 [1:11:36<01:26,  2.59it/s, loss=0.0236, rank=0.0020, reg=0.0216]
train epoch 1/1:  98%|█████████▊| 10568/10792 [1:11:36<01:50,  2.02it/s, loss=0.0236, rank=0.0020, reg=0.0216]
train epoch 1/1:  98%|█████████▊| 10568/10792 [1:11:36<01:50,  2.02it/s, loss=0.1499, rank=0.0040, reg=0.1459]
train epoch 1/1:  98%|█████████▊| 10569/10792 [1:11:36<02:09,  1.72it/s, loss=0.1499, rank=0.0040, reg=0.1459]
train epoch 1/1:  98%|█████████▊| 10569/10792 [1:11:37<02:09,  1.72it/s, loss=0.1158, rank=0.1095, reg=0.0063]
train epoch 1/1:  98%|█████████▊| 10570/10792 [1:11:37<01:57,  1.89it/s, loss=0.1158, rank=0.1095, reg=0.0063]
train epoch 1/1:  98%|█████████▊| 10570/10792 [1:11:37<01:57,  1.89it/s, loss=0.0626, rank=0.0427, reg=0.0200]
train epoch 1/1:  98%|█████████▊| 10571/10792 [1:11:37<01:31,  2.41it/s, loss=0.0626, rank=0.0427, reg=0.0200]
train epoch 1/1:  98%|█████████▊| 10571/10792 [1:11:37<01:31,  2.41it/s, loss=0.0648, rank=0.0369, reg=0.0278]
train epoch 1/1:  98%|█████████▊| 10572/10792 [1:11:37<01:20,  2.75it/s, loss=0.0648, rank=0.0369, reg=0.0278]
train epoch 1/1:  98%|█████████▊| 10572/10792 [1:11:37<01:20,  2.75it/s, loss=0.0641, rank=0.0537, reg=0.0104]
train epoch 1/1:  98%|█████████▊| 10573/10792 [1:11:37<01:10,  3.12it/s, loss=0.0641, rank=0.0537, reg=0.0104]
train epoch 1/1:  98%|█████████▊| 10573/10792 [1:11:38<01:10,  3.12it/s, loss=0.0341, rank=0.0248, reg=0.0093]
train epoch 1/1:  98%|█████████▊| 10574/10792 [1:11:38<00:57,  3.79it/s, loss=0.0341, rank=0.0248, reg=0.0093]
train epoch 1/1:  98%|█████████▊| 10574/10792 [1:11:38<00:57,  3.79it/s, loss=0.0649, rank=0.0334, reg=0.0315]
train epoch 1/1:  98%|█████████▊| 10575/10792 [1:11:38<00:59,  3.68it/s, loss=0.0649, rank=0.0334, reg=0.0315]
train epoch 1/1:  98%|█████████▊| 10575/10792 [1:11:38<00:59,  3.68it/s, loss=0.0645, rank=0.0410, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10576/10792 [1:11:38<00:56,  3.83it/s, loss=0.0645, rank=0.0410, reg=0.0234]
train epoch 1/1:  98%|█████████▊| 10576/10792 [1:11:38<00:56,  3.83it/s, loss=0.0629, rank=0.0374, reg=0.0255]
train epoch 1/1:  98%|█████████▊| 10577/10792 [1:11:38<00:56,  3.78it/s, loss=0.0629, rank=0.0374, reg=0.0255]
train epoch 1/1:  98%|█████████▊| 10577/10792 [1:11:39<00:56,  3.78it/s, loss=0.1551, rank=0.0457, reg=0.1094]
train epoch 1/1:  98%|█████████▊| 10578/10792 [1:11:39<00:55,  3.87it/s, loss=0.1551, rank=0.0457, reg=0.1094]
train epoch 1/1:  98%|█████████▊| 10578/10792 [1:11:39<00:55,  3.87it/s, loss=0.0637, rank=0.0388, reg=0.0249]
train epoch 1/1:  98%|█████████▊| 10579/10792 [1:11:39<00:51,  4.12it/s, loss=0.0637, rank=0.0388, reg=0.0249]
train epoch 1/1:  98%|█████████▊| 10579/10792 [1:11:39<00:51,  4.12it/s, loss=0.1703, rank=0.0429, reg=0.1274]
train epoch 1/1:  98%|█████████▊| 10580/10792 [1:11:39<00:53,  3.94it/s, loss=0.1703, rank=0.0429, reg=0.1274]
train epoch 1/1:  98%|█████████▊| 10580/10792 [1:11:39<00:53,  3.94it/s, loss=0.0336, rank=0.0077, reg=0.0259]
train epoch 1/1:  98%|█████████▊| 10581/10792 [1:11:39<00:49,  4.26it/s, loss=0.0336, rank=0.0077, reg=0.0259]
train epoch 1/1:  98%|█████████▊| 10581/10792 [1:11:40<00:49,  4.26it/s, loss=0.0857, rank=0.0318, reg=0.0539]
train epoch 1/1:  98%|█████████▊| 10582/10792 [1:11:40<00:52,  3.96it/s, loss=0.0857, rank=0.0318, reg=0.0539]
train epoch 1/1:  98%|█████████▊| 10582/10792 [1:11:40<00:52,  3.96it/s, loss=0.0412, rank=0.0291, reg=0.0120]
train epoch 1/1:  98%|█████████▊| 10583/10792 [1:11:40<00:49,  4.21it/s, loss=0.0412, rank=0.0291, reg=0.0120]
train epoch 1/1:  98%|█████████▊| 10583/10792 [1:11:40<00:49,  4.21it/s, loss=0.0574, rank=0.0310, reg=0.0264]
train epoch 1/1:  98%|█████████▊| 10584/10792 [1:11:40<00:46,  4.50it/s, loss=0.0574, rank=0.0310, reg=0.0264]
train epoch 1/1:  98%|█████████▊| 10584/10792 [1:11:40<00:46,  4.50it/s, loss=0.0596, rank=0.0460, reg=0.0136]
train epoch 1/1:  98%|█████████▊| 10585/10792 [1:11:40<00:45,  4.51it/s, loss=0.0596, rank=0.0460, reg=0.0136]
train epoch 1/1:  98%|█████████▊| 10585/10792 [1:11:40<00:45,  4.51it/s, loss=0.0764, rank=0.0438, reg=0.0326]
train epoch 1/1:  98%|█████████▊| 10586/10792 [1:11:40<00:41,  5.01it/s, loss=0.0764, rank=0.0438, reg=0.0326]
train epoch 1/1:  98%|█████████▊| 10586/10792 [1:11:41<00:41,  5.01it/s, loss=0.0695, rank=0.0593, reg=0.0102]
train epoch 1/1:  98%|█████████▊| 10587/10792 [1:11:41<00:45,  4.48it/s, loss=0.0695, rank=0.0593, reg=0.0102]
train epoch 1/1:  98%|█████████▊| 10587/10792 [1:11:41<00:45,  4.48it/s, loss=0.0944, rank=0.0158, reg=0.0787]
train epoch 1/1:  98%|█████████▊| 10588/10792 [1:11:41<00:56,  3.60it/s, loss=0.0944, rank=0.0158, reg=0.0787]
train epoch 1/1:  98%|█████████▊| 10588/10792 [1:11:42<00:56,  3.60it/s, loss=0.0592, rank=0.0359, reg=0.0233]
train epoch 1/1:  98%|█████████▊| 10589/10792 [1:11:42<01:35,  2.12it/s, loss=0.0592, rank=0.0359, reg=0.0233]
train epoch 1/1:  98%|█████████▊| 10589/10792 [1:11:42<01:35,  2.12it/s, loss=0.1135, rank=0.0301, reg=0.0834]
train epoch 1/1:  98%|█████████▊| 10590/10792 [1:11:42<01:13,  2.73it/s, loss=0.1135, rank=0.0301, reg=0.0834]
train epoch 1/1:  98%|█████████▊| 10590/10792 [1:11:42<01:13,  2.73it/s, loss=0.0679, rank=0.0322, reg=0.0357]
train epoch 1/1:  98%|█████████▊| 10591/10792 [1:11:42<01:02,  3.22it/s, loss=0.0679, rank=0.0322, reg=0.0357]
train epoch 1/1:  98%|█████████▊| 10591/10792 [1:11:42<01:02,  3.22it/s, loss=0.0677, rank=0.0614, reg=0.0063]
train epoch 1/1:  98%|█████████▊| 10592/10792 [1:11:42<00:52,  3.83it/s, loss=0.0677, rank=0.0614, reg=0.0063]
train epoch 1/1:  98%|█████████▊| 10592/10792 [1:11:43<00:52,  3.83it/s, loss=0.1221, rank=0.0501, reg=0.0720]
train epoch 1/1:  98%|█████████▊| 10593/10792 [1:11:43<00:46,  4.23it/s, loss=0.1221, rank=0.0501, reg=0.0720]
train epoch 1/1:  98%|█████████▊| 10593/10792 [1:11:43<00:46,  4.23it/s, loss=0.1048, rank=0.0909, reg=0.0139]
train epoch 1/1:  98%|█████████▊| 10594/10792 [1:11:43<00:49,  3.99it/s, loss=0.1048, rank=0.0909, reg=0.0139]
train epoch 1/1:  98%|█████████▊| 10594/10792 [1:11:43<00:49,  3.99it/s, loss=0.0592, rank=0.0364, reg=0.0229]
train epoch 1/1:  98%|█████████▊| 10595/10792 [1:11:43<01:08,  2.87it/s, loss=0.0592, rank=0.0364, reg=0.0229]
train epoch 1/1:  98%|█████████▊| 10595/10792 [1:11:44<01:08,  2.87it/s, loss=0.0889, rank=0.0710, reg=0.0179]
train epoch 1/1:  98%|█████████▊| 10596/10792 [1:11:44<01:02,  3.13it/s, loss=0.0889, rank=0.0710, reg=0.0179]
train epoch 1/1:  98%|█████████▊| 10596/10792 [1:11:44<01:02,  3.13it/s, loss=0.0983, rank=0.0437, reg=0.0546]
train epoch 1/1:  98%|█████████▊| 10597/10792 [1:11:44<01:10,  2.75it/s, loss=0.0983, rank=0.0437, reg=0.0546]
train epoch 1/1:  98%|█████████▊| 10597/10792 [1:11:44<01:10,  2.75it/s, loss=0.0727, rank=0.0429, reg=0.0298]
train epoch 1/1:  98%|█████████▊| 10598/10792 [1:11:44<01:06,  2.92it/s, loss=0.0727, rank=0.0429, reg=0.0298]
train epoch 1/1:  98%|█████████▊| 10598/10792 [1:11:45<01:06,  2.92it/s, loss=0.0654, rank=0.0163, reg=0.0490]
train epoch 1/1:  98%|█████████▊| 10599/10792 [1:11:45<01:01,  3.14it/s, loss=0.0654, rank=0.0163, reg=0.0490]
train epoch 1/1:  98%|█████████▊| 10599/10792 [1:11:45<01:01,  3.14it/s, loss=0.0750, rank=0.0598, reg=0.0151]
train epoch 1/1:  98%|█████████▊| 10600/10792 [1:11:45<00:50,  3.78it/s, loss=0.0750, rank=0.0598, reg=0.0151]
train epoch 1/1:  98%|█████████▊| 10600/10792 [1:11:45<00:50,  3.78it/s, loss=0.0841, rank=0.0194, reg=0.0646]
train epoch 1/1:  98%|█████████▊| 10601/10792 [1:11:45<00:52,  3.61it/s, loss=0.0841, rank=0.0194, reg=0.0646]
train epoch 1/1:  98%|█████████▊| 10601/10792 [1:11:46<00:52,  3.61it/s, loss=0.0870, rank=0.0688, reg=0.0181]
train epoch 1/1:  98%|█████████▊| 10602/10792 [1:11:46<01:09,  2.72it/s, loss=0.0870, rank=0.0688, reg=0.0181]
train epoch 1/1:  98%|█████████▊| 10602/10792 [1:11:46<01:09,  2.72it/s, loss=0.1095, rank=0.0741, reg=0.0354]
train epoch 1/1:  98%|█████████▊| 10603/10792 [1:11:46<01:04,  2.94it/s, loss=0.1095, rank=0.0741, reg=0.0354]
train epoch 1/1:  98%|█████████▊| 10603/10792 [1:11:46<01:04,  2.94it/s, loss=0.1005, rank=0.0427, reg=0.0578]
train epoch 1/1:  98%|█████████▊| 10604/10792 [1:11:46<00:54,  3.48it/s, loss=0.1005, rank=0.0427, reg=0.0578]
train epoch 1/1:  98%|█████████▊| 10604/10792 [1:11:46<00:54,  3.48it/s, loss=0.0923, rank=0.0334, reg=0.0589]
train epoch 1/1:  98%|█████████▊| 10605/10792 [1:11:46<00:51,  3.65it/s, loss=0.0923, rank=0.0334, reg=0.0589]
train epoch 1/1:  98%|█████████▊| 10605/10792 [1:11:47<00:51,  3.65it/s, loss=0.1133, rank=0.0802, reg=0.0332]
train epoch 1/1:  98%|█████████▊| 10606/10792 [1:11:47<00:49,  3.77it/s, loss=0.1133, rank=0.0802, reg=0.0332]
train epoch 1/1:  98%|█████████▊| 10606/10792 [1:11:47<00:49,  3.77it/s, loss=0.2450, rank=0.0511, reg=0.1938]
train epoch 1/1:  98%|█████████▊| 10607/10792 [1:11:47<01:15,  2.44it/s, loss=0.2450, rank=0.0511, reg=0.1938]
train epoch 1/1:  98%|█████████▊| 10607/10792 [1:11:48<01:15,  2.44it/s, loss=0.0279, rank=0.0136, reg=0.0143]
train epoch 1/1:  98%|█████████▊| 10608/10792 [1:11:48<01:28,  2.09it/s, loss=0.0279, rank=0.0136, reg=0.0143]
train epoch 1/1:  98%|█████████▊| 10608/10792 [1:11:48<01:28,  2.09it/s, loss=0.0428, rank=0.0328, reg=0.0100]
train epoch 1/1:  98%|█████████▊| 10609/10792 [1:11:48<01:10,  2.60it/s, loss=0.0428, rank=0.0328, reg=0.0100]
train epoch 1/1:  98%|█████████▊| 10609/10792 [1:11:49<01:10,  2.60it/s, loss=0.0482, rank=0.0258, reg=0.0224]
train epoch 1/1:  98%|█████████▊| 10610/10792 [1:11:49<01:24,  2.16it/s, loss=0.0482, rank=0.0258, reg=0.0224]
train epoch 1/1:  98%|█████████▊| 10610/10792 [1:11:49<01:24,  2.16it/s, loss=0.0760, rank=0.0467, reg=0.0293]
train epoch 1/1:  98%|█████████▊| 10611/10792 [1:11:49<01:09,  2.60it/s, loss=0.0760, rank=0.0467, reg=0.0293]
train epoch 1/1:  98%|█████████▊| 10611/10792 [1:11:49<01:09,  2.60it/s, loss=0.1113, rank=0.0568, reg=0.0545]
train epoch 1/1:  98%|█████████▊| 10612/10792 [1:11:49<01:00,  2.98it/s, loss=0.1113, rank=0.0568, reg=0.0545]
train epoch 1/1:  98%|█████████▊| 10612/10792 [1:11:50<01:00,  2.98it/s, loss=0.0939, rank=0.0666, reg=0.0273]
train epoch 1/1:  98%|█████████▊| 10613/10792 [1:11:50<00:52,  3.42it/s, loss=0.0939, rank=0.0666, reg=0.0273]
train epoch 1/1:  98%|█████████▊| 10613/10792 [1:11:50<00:52,  3.42it/s, loss=0.0471, rank=0.0314, reg=0.0157]
train epoch 1/1:  98%|█████████▊| 10614/10792 [1:11:50<00:48,  3.70it/s, loss=0.0471, rank=0.0314, reg=0.0157]
train epoch 1/1:  98%|█████████▊| 10614/10792 [1:11:50<00:48,  3.70it/s, loss=0.0806, rank=0.0590, reg=0.0217]
train epoch 1/1:  98%|█████████▊| 10615/10792 [1:11:50<00:43,  4.08it/s, loss=0.0806, rank=0.0590, reg=0.0217]
train epoch 1/1:  98%|█████████▊| 10615/10792 [1:11:50<00:43,  4.08it/s, loss=0.1238, rank=0.0609, reg=0.0629]
train epoch 1/1:  98%|█████████▊| 10616/10792 [1:11:50<00:45,  3.89it/s, loss=0.1238, rank=0.0609, reg=0.0629]
train epoch 1/1:  98%|█████████▊| 10616/10792 [1:11:50<00:45,  3.89it/s, loss=0.1034, rank=0.0558, reg=0.0477]
train epoch 1/1:  98%|█████████▊| 10617/10792 [1:11:50<00:39,  4.47it/s, loss=0.1034, rank=0.0558, reg=0.0477]
train epoch 1/1:  98%|█████████▊| 10617/10792 [1:11:51<00:39,  4.47it/s, loss=0.0764, rank=0.0600, reg=0.0164]
train epoch 1/1:  98%|█████████▊| 10618/10792 [1:11:51<00:37,  4.69it/s, loss=0.0764, rank=0.0600, reg=0.0164]
train epoch 1/1:  98%|█████████▊| 10618/10792 [1:11:51<00:37,  4.69it/s, loss=0.0783, rank=0.0393, reg=0.0390]
train epoch 1/1:  98%|█████████▊| 10619/10792 [1:11:51<00:44,  3.89it/s, loss=0.0783, rank=0.0393, reg=0.0390]
train epoch 1/1:  98%|█████████▊| 10619/10792 [1:11:51<00:44,  3.89it/s, loss=0.1457, rank=0.0523, reg=0.0933]
train epoch 1/1:  98%|█████████▊| 10620/10792 [1:11:51<00:43,  3.99it/s, loss=0.1457, rank=0.0523, reg=0.0933]
train epoch 1/1:  98%|█████████▊| 10620/10792 [1:11:51<00:43,  3.99it/s, loss=0.0826, rank=0.0203, reg=0.0622]
train epoch 1/1:  98%|█████████▊| 10621/10792 [1:11:51<00:45,  3.75it/s, loss=0.0826, rank=0.0203, reg=0.0622]
train epoch 1/1:  98%|█████████▊| 10621/10792 [1:11:52<00:45,  3.75it/s, loss=0.0373, rank=0.0185, reg=0.0188]
train epoch 1/1:  98%|█████████▊| 10622/10792 [1:11:52<00:44,  3.81it/s, loss=0.0373, rank=0.0185, reg=0.0188]
train epoch 1/1:  98%|█████████▊| 10622/10792 [1:11:52<00:44,  3.81it/s, loss=0.0820, rank=0.0075, reg=0.0745]
train epoch 1/1:  98%|█████████▊| 10623/10792 [1:11:52<01:08,  2.48it/s, loss=0.0820, rank=0.0075, reg=0.0745]
train epoch 1/1:  98%|█████████▊| 10623/10792 [1:11:53<01:08,  2.48it/s, loss=0.0174, rank=0.0057, reg=0.0117]
train epoch 1/1:  98%|█████████▊| 10624/10792 [1:11:53<00:59,  2.82it/s, loss=0.0174, rank=0.0057, reg=0.0117]
train epoch 1/1:  98%|█████████▊| 10624/10792 [1:11:53<00:59,  2.82it/s, loss=0.0750, rank=0.0465, reg=0.0286]
train epoch 1/1:  98%|█████████▊| 10625/10792 [1:11:53<00:52,  3.17it/s, loss=0.0750, rank=0.0465, reg=0.0286]
train epoch 1/1:  98%|█████████▊| 10625/10792 [1:11:54<00:52,  3.17it/s, loss=0.0582, rank=0.0128, reg=0.0454]
train epoch 1/1:  98%|█████████▊| 10626/10792 [1:11:54<01:18,  2.11it/s, loss=0.0582, rank=0.0128, reg=0.0454]
train epoch 1/1:  98%|█████████▊| 10626/10792 [1:11:54<01:18,  2.11it/s, loss=0.0606, rank=0.0270, reg=0.0336]
train epoch 1/1:  98%|█████████▊| 10627/10792 [1:11:54<01:06,  2.48it/s, loss=0.0606, rank=0.0270, reg=0.0336]
train epoch 1/1:  98%|█████████▊| 10627/10792 [1:11:54<01:06,  2.48it/s, loss=0.0625, rank=0.0151, reg=0.0474]
train epoch 1/1:  98%|█████████▊| 10628/10792 [1:11:54<01:08,  2.38it/s, loss=0.0625, rank=0.0151, reg=0.0474]
train epoch 1/1:  98%|█████████▊| 10628/10792 [1:11:55<01:08,  2.38it/s, loss=0.0640, rank=0.0495, reg=0.0145]
train epoch 1/1:  98%|█████████▊| 10629/10792 [1:11:55<00:57,  2.83it/s, loss=0.0640, rank=0.0495, reg=0.0145]
train epoch 1/1:  98%|█████████▊| 10629/10792 [1:11:55<00:57,  2.83it/s, loss=0.0657, rank=0.0112, reg=0.0545]
train epoch 1/1:  98%|█████████▊| 10630/10792 [1:11:55<00:54,  2.98it/s, loss=0.0657, rank=0.0112, reg=0.0545]
train epoch 1/1:  98%|█████████▊| 10630/10792 [1:11:55<00:54,  2.98it/s, loss=0.1173, rank=0.0593, reg=0.0580]
train epoch 1/1:  99%|█████████▊| 10631/10792 [1:11:55<00:53,  2.99it/s, loss=0.1173, rank=0.0593, reg=0.0580]
train epoch 1/1:  99%|█████████▊| 10631/10792 [1:11:56<00:53,  2.99it/s, loss=0.0780, rank=0.0365, reg=0.0415]
train epoch 1/1:  99%|█████████▊| 10632/10792 [1:11:56<00:51,  3.11it/s, loss=0.0780, rank=0.0365, reg=0.0415]
train epoch 1/1:  99%|█████████▊| 10632/10792 [1:11:56<00:51,  3.11it/s, loss=0.1062, rank=0.0488, reg=0.0574]
train epoch 1/1:  99%|█████████▊| 10633/10792 [1:11:56<00:53,  2.96it/s, loss=0.1062, rank=0.0488, reg=0.0574]
train epoch 1/1:  99%|█████████▊| 10633/10792 [1:11:56<00:53,  2.96it/s, loss=0.0593, rank=0.0478, reg=0.0116]
train epoch 1/1:  99%|█████████▊| 10634/10792 [1:11:56<00:52,  3.01it/s, loss=0.0593, rank=0.0478, reg=0.0116]
train epoch 1/1:  99%|█████████▊| 10634/10792 [1:11:57<00:52,  3.01it/s, loss=0.0490, rank=0.0000, reg=0.0490]
train epoch 1/1:  99%|█████████▊| 10635/10792 [1:11:57<01:18,  2.01it/s, loss=0.0490, rank=0.0000, reg=0.0490]
train epoch 1/1:  99%|█████████▊| 10635/10792 [1:11:58<01:18,  2.01it/s, loss=0.0437, rank=0.0279, reg=0.0158]
train epoch 1/1:  99%|█████████▊| 10636/10792 [1:11:58<01:39,  1.57it/s, loss=0.0437, rank=0.0279, reg=0.0158]
train epoch 1/1:  99%|█████████▊| 10636/10792 [1:11:58<01:39,  1.57it/s, loss=0.0947, rank=0.0534, reg=0.0413]
train epoch 1/1:  99%|█████████▊| 10637/10792 [1:11:58<01:21,  1.89it/s, loss=0.0947, rank=0.0534, reg=0.0413]
train epoch 1/1:  99%|█████████▊| 10637/10792 [1:11:59<01:21,  1.89it/s, loss=0.0442, rank=0.0122, reg=0.0321]
train epoch 1/1:  99%|█████████▊| 10638/10792 [1:11:59<01:14,  2.06it/s, loss=0.0442, rank=0.0122, reg=0.0321]
train epoch 1/1:  99%|█████████▊| 10638/10792 [1:11:59<01:14,  2.06it/s, loss=0.0542, rank=0.0390, reg=0.0152]
train epoch 1/1:  99%|█████████▊| 10639/10792 [1:11:59<01:17,  1.99it/s, loss=0.0542, rank=0.0390, reg=0.0152]
train epoch 1/1:  99%|█████████▊| 10639/10792 [1:12:00<01:17,  1.99it/s, loss=0.1145, rank=0.0586, reg=0.0559]
train epoch 1/1:  99%|█████████▊| 10640/10792 [1:12:00<01:09,  2.17it/s, loss=0.1145, rank=0.0586, reg=0.0559]
train epoch 1/1:  99%|█████████▊| 10640/10792 [1:12:00<01:09,  2.17it/s, loss=0.0401, rank=0.0149, reg=0.0252]
train epoch 1/1:  99%|█████████▊| 10641/10792 [1:12:00<00:55,  2.73it/s, loss=0.0401, rank=0.0149, reg=0.0252]
train epoch 1/1:  99%|█████████▊| 10641/10792 [1:12:00<00:55,  2.73it/s, loss=0.1218, rank=0.0968, reg=0.0250]
train epoch 1/1:  99%|█████████▊| 10642/10792 [1:12:00<00:44,  3.34it/s, loss=0.1218, rank=0.0968, reg=0.0250]
train epoch 1/1:  99%|█████████▊| 10642/10792 [1:12:00<00:44,  3.34it/s, loss=0.0708, rank=0.0444, reg=0.0264]
train epoch 1/1:  99%|█████████▊| 10643/10792 [1:12:00<00:47,  3.17it/s, loss=0.0708, rank=0.0444, reg=0.0264]
train epoch 1/1:  99%|█████████▊| 10643/10792 [1:12:01<00:47,  3.17it/s, loss=0.0828, rank=0.0667, reg=0.0161]
train epoch 1/1:  99%|█████████▊| 10644/10792 [1:12:01<00:41,  3.53it/s, loss=0.0828, rank=0.0667, reg=0.0161]
train epoch 1/1:  99%|█████████▊| 10644/10792 [1:12:01<00:41,  3.53it/s, loss=0.0621, rank=0.0414, reg=0.0207]
train epoch 1/1:  99%|█████████▊| 10645/10792 [1:12:01<00:48,  3.01it/s, loss=0.0621, rank=0.0414, reg=0.0207]
train epoch 1/1:  99%|█████████▊| 10645/10792 [1:12:02<00:48,  3.01it/s, loss=0.1342, rank=0.0821, reg=0.0521]
train epoch 1/1:  99%|█████████▊| 10646/10792 [1:12:02<01:04,  2.28it/s, loss=0.1342, rank=0.0821, reg=0.0521]
train epoch 1/1:  99%|█████████▊| 10646/10792 [1:12:02<01:04,  2.28it/s, loss=0.0634, rank=0.0469, reg=0.0165]
train epoch 1/1:  99%|█████████▊| 10647/10792 [1:12:02<00:52,  2.76it/s, loss=0.0634, rank=0.0469, reg=0.0165]
train epoch 1/1:  99%|█████████▊| 10647/10792 [1:12:02<00:52,  2.76it/s, loss=0.0441, rank=0.0312, reg=0.0130]
train epoch 1/1:  99%|█████████▊| 10648/10792 [1:12:02<00:58,  2.48it/s, loss=0.0441, rank=0.0312, reg=0.0130]
train epoch 1/1:  99%|█████████▊| 10648/10792 [1:12:03<00:58,  2.48it/s, loss=0.0956, rank=0.0659, reg=0.0297]
train epoch 1/1:  99%|█████████▊| 10649/10792 [1:12:03<01:08,  2.09it/s, loss=0.0956, rank=0.0659, reg=0.0297]
train epoch 1/1:  99%|█████████▊| 10649/10792 [1:12:03<01:08,  2.09it/s, loss=0.0662, rank=0.0362, reg=0.0300]
train epoch 1/1:  99%|█████████▊| 10650/10792 [1:12:03<01:08,  2.06it/s, loss=0.0662, rank=0.0362, reg=0.0300]
train epoch 1/1:  99%|█████████▊| 10650/10792 [1:12:04<01:08,  2.06it/s, loss=0.0881, rank=0.0610, reg=0.0270]
train epoch 1/1:  99%|█████████▊| 10651/10792 [1:12:04<00:56,  2.49it/s, loss=0.0881, rank=0.0610, reg=0.0270]
train epoch 1/1:  99%|█████████▊| 10651/10792 [1:12:04<00:56,  2.49it/s, loss=0.0925, rank=0.0646, reg=0.0279]
train epoch 1/1:  99%|█████████▊| 10652/10792 [1:12:04<00:51,  2.74it/s, loss=0.0925, rank=0.0646, reg=0.0279]
train epoch 1/1:  99%|█████████▊| 10652/10792 [1:12:05<00:51,  2.74it/s, loss=0.1222, rank=0.0797, reg=0.0426]
train epoch 1/1:  99%|█████████▊| 10653/10792 [1:12:05<01:07,  2.07it/s, loss=0.1222, rank=0.0797, reg=0.0426]
train epoch 1/1:  99%|█████████▊| 10653/10792 [1:12:05<01:07,  2.07it/s, loss=0.0559, rank=0.0543, reg=0.0017]
train epoch 1/1:  99%|█████████▊| 10654/10792 [1:12:05<00:55,  2.50it/s, loss=0.0559, rank=0.0543, reg=0.0017]
train epoch 1/1:  99%|█████████▊| 10654/10792 [1:12:05<00:55,  2.50it/s, loss=0.0862, rank=0.0121, reg=0.0741]
train epoch 1/1:  99%|█████████▊| 10655/10792 [1:12:05<00:44,  3.06it/s, loss=0.0862, rank=0.0121, reg=0.0741]
train epoch 1/1:  99%|█████████▊| 10655/10792 [1:12:05<00:44,  3.06it/s, loss=0.1022, rank=0.0654, reg=0.0369]
train epoch 1/1:  99%|█████████▊| 10656/10792 [1:12:05<00:37,  3.58it/s, loss=0.1022, rank=0.0654, reg=0.0369]
train epoch 1/1:  99%|█████████▊| 10656/10792 [1:12:06<00:37,  3.58it/s, loss=0.0838, rank=0.0226, reg=0.0612]
train epoch 1/1:  99%|█████████▊| 10657/10792 [1:12:06<00:50,  2.66it/s, loss=0.0838, rank=0.0226, reg=0.0612]
train epoch 1/1:  99%|█████████▊| 10657/10792 [1:12:06<00:50,  2.66it/s, loss=0.0540, rank=0.0125, reg=0.0414]
train epoch 1/1:  99%|█████████▉| 10658/10792 [1:12:06<00:55,  2.40it/s, loss=0.0540, rank=0.0125, reg=0.0414]
train epoch 1/1:  99%|█████████▉| 10658/10792 [1:12:07<00:55,  2.40it/s, loss=0.0528, rank=0.0098, reg=0.0430]
train epoch 1/1:  99%|█████████▉| 10659/10792 [1:12:07<00:53,  2.50it/s, loss=0.0528, rank=0.0098, reg=0.0430]
train epoch 1/1:  99%|█████████▉| 10659/10792 [1:12:08<00:53,  2.50it/s, loss=0.0653, rank=0.0385, reg=0.0268]
train epoch 1/1:  99%|█████████▉| 10660/10792 [1:12:08<01:28,  1.49it/s, loss=0.0653, rank=0.0385, reg=0.0268]
train epoch 1/1:  99%|█████████▉| 10660/10792 [1:12:08<01:28,  1.49it/s, loss=0.0426, rank=0.0282, reg=0.0144]
train epoch 1/1:  99%|█████████▉| 10661/10792 [1:12:08<01:12,  1.81it/s, loss=0.0426, rank=0.0282, reg=0.0144]
train epoch 1/1:  99%|█████████▉| 10661/10792 [1:12:09<01:12,  1.81it/s, loss=0.0495, rank=0.0000, reg=0.0495]
train epoch 1/1:  99%|█████████▉| 10662/10792 [1:12:09<01:04,  2.02it/s, loss=0.0495, rank=0.0000, reg=0.0495]
train epoch 1/1:  99%|█████████▉| 10662/10792 [1:12:09<01:04,  2.02it/s, loss=0.0683, rank=0.0373, reg=0.0310]
train epoch 1/1:  99%|█████████▉| 10663/10792 [1:12:09<00:52,  2.46it/s, loss=0.0683, rank=0.0373, reg=0.0310]
train epoch 1/1:  99%|█████████▉| 10663/10792 [1:12:09<00:52,  2.46it/s, loss=0.0644, rank=0.0134, reg=0.0510]
train epoch 1/1:  99%|█████████▉| 10664/10792 [1:12:09<00:53,  2.39it/s, loss=0.0644, rank=0.0134, reg=0.0510]
train epoch 1/1:  99%|█████████▉| 10664/10792 [1:12:10<00:53,  2.39it/s, loss=0.0432, rank=0.0337, reg=0.0094]
train epoch 1/1:  99%|█████████▉| 10665/10792 [1:12:10<00:45,  2.78it/s, loss=0.0432, rank=0.0337, reg=0.0094]
train epoch 1/1:  99%|█████████▉| 10665/10792 [1:12:10<00:45,  2.78it/s, loss=0.0596, rank=0.0455, reg=0.0141]
train epoch 1/1:  99%|█████████▉| 10666/10792 [1:12:10<00:42,  2.97it/s, loss=0.0596, rank=0.0455, reg=0.0141]
train epoch 1/1:  99%|█████████▉| 10666/10792 [1:12:10<00:42,  2.97it/s, loss=0.0472, rank=0.0350, reg=0.0122]
train epoch 1/1:  99%|█████████▉| 10667/10792 [1:12:10<00:39,  3.15it/s, loss=0.0472, rank=0.0350, reg=0.0122]
train epoch 1/1:  99%|█████████▉| 10667/10792 [1:12:10<00:39,  3.15it/s, loss=0.0605, rank=0.0479, reg=0.0126]
train epoch 1/1:  99%|█████████▉| 10668/10792 [1:12:10<00:32,  3.82it/s, loss=0.0605, rank=0.0479, reg=0.0126]
train epoch 1/1:  99%|█████████▉| 10668/10792 [1:12:11<00:32,  3.82it/s, loss=0.0985, rank=0.0225, reg=0.0760]
train epoch 1/1:  99%|█████████▉| 10669/10792 [1:12:11<00:36,  3.41it/s, loss=0.0985, rank=0.0225, reg=0.0760]
train epoch 1/1:  99%|█████████▉| 10669/10792 [1:12:11<00:36,  3.41it/s, loss=0.0656, rank=0.0283, reg=0.0373]
train epoch 1/1:  99%|█████████▉| 10670/10792 [1:12:11<00:36,  3.33it/s, loss=0.0656, rank=0.0283, reg=0.0373]
train epoch 1/1:  99%|█████████▉| 10670/10792 [1:12:11<00:36,  3.33it/s, loss=0.0467, rank=0.0245, reg=0.0222]
train epoch 1/1:  99%|█████████▉| 10671/10792 [1:12:11<00:42,  2.82it/s, loss=0.0467, rank=0.0245, reg=0.0222]
train epoch 1/1:  99%|█████████▉| 10671/10792 [1:12:12<00:42,  2.82it/s, loss=0.0873, rank=0.0425, reg=0.0448]
train epoch 1/1:  99%|█████████▉| 10672/10792 [1:12:12<00:35,  3.39it/s, loss=0.0873, rank=0.0425, reg=0.0448]
train epoch 1/1:  99%|█████████▉| 10672/10792 [1:12:12<00:35,  3.39it/s, loss=0.0121, rank=0.0053, reg=0.0068]
train epoch 1/1:  99%|█████████▉| 10673/10792 [1:12:12<00:33,  3.60it/s, loss=0.0121, rank=0.0053, reg=0.0068]
train epoch 1/1:  99%|█████████▉| 10673/10792 [1:12:12<00:33,  3.60it/s, loss=0.0716, rank=0.0317, reg=0.0400]
train epoch 1/1:  99%|█████████▉| 10674/10792 [1:12:12<00:42,  2.80it/s, loss=0.0716, rank=0.0317, reg=0.0400]
train epoch 1/1:  99%|█████████▉| 10674/10792 [1:12:13<00:42,  2.80it/s, loss=0.2235, rank=0.0318, reg=0.1917]
train epoch 1/1:  99%|█████████▉| 10675/10792 [1:12:13<00:57,  2.05it/s, loss=0.2235, rank=0.0318, reg=0.1917]
train epoch 1/1:  99%|█████████▉| 10675/10792 [1:12:13<00:57,  2.05it/s, loss=0.0447, rank=0.0338, reg=0.0109]
train epoch 1/1:  99%|█████████▉| 10676/10792 [1:12:13<00:47,  2.43it/s, loss=0.0447, rank=0.0338, reg=0.0109]
train epoch 1/1:  99%|█████████▉| 10676/10792 [1:12:14<00:47,  2.43it/s, loss=0.0625, rank=0.0252, reg=0.0373]
train epoch 1/1:  99%|█████████▉| 10677/10792 [1:12:14<00:48,  2.35it/s, loss=0.0625, rank=0.0252, reg=0.0373]
train epoch 1/1:  99%|█████████▉| 10677/10792 [1:12:15<00:48,  2.35it/s, loss=0.0718, rank=0.0123, reg=0.0595]
train epoch 1/1:  99%|█████████▉| 10678/10792 [1:12:15<01:01,  1.87it/s, loss=0.0718, rank=0.0123, reg=0.0595]
train epoch 1/1:  99%|█████████▉| 10678/10792 [1:12:15<01:01,  1.87it/s, loss=0.0229, rank=0.0000, reg=0.0229]
train epoch 1/1:  99%|█████████▉| 10679/10792 [1:12:15<01:07,  1.68it/s, loss=0.0229, rank=0.0000, reg=0.0229]
train epoch 1/1:  99%|█████████▉| 10679/10792 [1:12:16<01:07,  1.68it/s, loss=0.0609, rank=0.0446, reg=0.0163]
train epoch 1/1:  99%|█████████▉| 10680/10792 [1:12:16<00:57,  1.93it/s, loss=0.0609, rank=0.0446, reg=0.0163]
train epoch 1/1:  99%|█████████▉| 10680/10792 [1:12:16<00:57,  1.93it/s, loss=0.0674, rank=0.0461, reg=0.0214]
train epoch 1/1:  99%|█████████▉| 10681/10792 [1:12:16<00:45,  2.43it/s, loss=0.0674, rank=0.0461, reg=0.0214]
train epoch 1/1:  99%|█████████▉| 10681/10792 [1:12:16<00:45,  2.43it/s, loss=0.0869, rank=0.0646, reg=0.0224]
train epoch 1/1:  99%|█████████▉| 10682/10792 [1:12:16<00:37,  2.92it/s, loss=0.0869, rank=0.0646, reg=0.0224]
train epoch 1/1:  99%|█████████▉| 10682/10792 [1:12:16<00:37,  2.92it/s, loss=0.0492, rank=0.0358, reg=0.0134]
train epoch 1/1:  99%|█████████▉| 10683/10792 [1:12:16<00:33,  3.29it/s, loss=0.0492, rank=0.0358, reg=0.0134]
train epoch 1/1:  99%|█████████▉| 10683/10792 [1:12:16<00:33,  3.29it/s, loss=0.0642, rank=0.0513, reg=0.0128]
train epoch 1/1:  99%|█████████▉| 10684/10792 [1:12:16<00:28,  3.84it/s, loss=0.0642, rank=0.0513, reg=0.0128]
train epoch 1/1:  99%|█████████▉| 10684/10792 [1:12:17<00:28,  3.84it/s, loss=0.0164, rank=0.0000, reg=0.0164]
train epoch 1/1:  99%|█████████▉| 10685/10792 [1:12:17<00:39,  2.72it/s, loss=0.0164, rank=0.0000, reg=0.0164]
train epoch 1/1:  99%|█████████▉| 10685/10792 [1:12:17<00:39,  2.72it/s, loss=0.0234, rank=0.0022, reg=0.0212]
train epoch 1/1:  99%|█████████▉| 10686/10792 [1:12:17<00:38,  2.73it/s, loss=0.0234, rank=0.0022, reg=0.0212]
train epoch 1/1:  99%|█████████▉| 10686/10792 [1:12:18<00:38,  2.73it/s, loss=0.1394, rank=0.0549, reg=0.0844]
train epoch 1/1:  99%|█████████▉| 10687/10792 [1:12:18<00:43,  2.42it/s, loss=0.1394, rank=0.0549, reg=0.0844]
train epoch 1/1:  99%|█████████▉| 10687/10792 [1:12:18<00:43,  2.42it/s, loss=0.0592, rank=0.0371, reg=0.0222]
train epoch 1/1:  99%|█████████▉| 10688/10792 [1:12:18<00:37,  2.77it/s, loss=0.0592, rank=0.0371, reg=0.0222]
train epoch 1/1:  99%|█████████▉| 10688/10792 [1:12:18<00:37,  2.77it/s, loss=0.0639, rank=0.0440, reg=0.0198]
train epoch 1/1:  99%|█████████▉| 10689/10792 [1:12:18<00:34,  3.02it/s, loss=0.0639, rank=0.0440, reg=0.0198]
train epoch 1/1:  99%|█████████▉| 10689/10792 [1:12:19<00:34,  3.02it/s, loss=0.0365, rank=0.0296, reg=0.0069]
train epoch 1/1:  99%|█████████▉| 10690/10792 [1:12:19<00:48,  2.10it/s, loss=0.0365, rank=0.0296, reg=0.0069]
train epoch 1/1:  99%|█████████▉| 10690/10792 [1:12:20<00:48,  2.10it/s, loss=0.7468, rank=0.0257, reg=0.7211]
train epoch 1/1:  99%|█████████▉| 10691/10792 [1:12:20<00:56,  1.77it/s, loss=0.7468, rank=0.0257, reg=0.7211]
train epoch 1/1:  99%|█████████▉| 10691/10792 [1:12:21<00:56,  1.77it/s, loss=0.0581, rank=0.0189, reg=0.0392]
train epoch 1/1:  99%|█████████▉| 10692/10792 [1:12:21<01:00,  1.64it/s, loss=0.0581, rank=0.0189, reg=0.0392]
train epoch 1/1:  99%|█████████▉| 10692/10792 [1:12:21<01:00,  1.64it/s, loss=0.1044, rank=0.0616, reg=0.0428]
train epoch 1/1:  99%|█████████▉| 10693/10792 [1:12:21<00:47,  2.10it/s, loss=0.1044, rank=0.0616, reg=0.0428]
train epoch 1/1:  99%|█████████▉| 10693/10792 [1:12:21<00:47,  2.10it/s, loss=0.1561, rank=0.0251, reg=0.1310]
train epoch 1/1:  99%|█████████▉| 10694/10792 [1:12:21<00:39,  2.51it/s, loss=0.1561, rank=0.0251, reg=0.1310]
train epoch 1/1:  99%|█████████▉| 10694/10792 [1:12:22<00:39,  2.51it/s, loss=0.0954, rank=0.0466, reg=0.0489]
train epoch 1/1:  99%|█████████▉| 10695/10792 [1:12:22<00:41,  2.35it/s, loss=0.0954, rank=0.0466, reg=0.0489]
train epoch 1/1:  99%|█████████▉| 10695/10792 [1:12:22<00:41,  2.35it/s, loss=0.3088, rank=0.0302, reg=0.2786]
train epoch 1/1:  99%|█████████▉| 10696/10792 [1:12:22<00:47,  2.01it/s, loss=0.3088, rank=0.0302, reg=0.2786]
train epoch 1/1:  99%|█████████▉| 10696/10792 [1:12:22<00:47,  2.01it/s, loss=0.1532, rank=0.0402, reg=0.1130]
train epoch 1/1:  99%|█████████▉| 10697/10792 [1:12:22<00:39,  2.43it/s, loss=0.1532, rank=0.0402, reg=0.1130]
train epoch 1/1:  99%|█████████▉| 10697/10792 [1:12:23<00:39,  2.43it/s, loss=0.0822, rank=0.0721, reg=0.0101]
train epoch 1/1:  99%|█████████▉| 10698/10792 [1:12:23<00:35,  2.65it/s, loss=0.0822, rank=0.0721, reg=0.0101]
train epoch 1/1:  99%|█████████▉| 10698/10792 [1:12:23<00:35,  2.65it/s, loss=0.0923, rank=0.0381, reg=0.0543]
train epoch 1/1:  99%|█████████▉| 10699/10792 [1:12:23<00:32,  2.82it/s, loss=0.0923, rank=0.0381, reg=0.0543]
train epoch 1/1:  99%|█████████▉| 10699/10792 [1:12:23<00:32,  2.82it/s, loss=0.0360, rank=0.0251, reg=0.0109]
train epoch 1/1:  99%|█████████▉| 10700/10792 [1:12:23<00:31,  2.96it/s, loss=0.0360, rank=0.0251, reg=0.0109]
train epoch 1/1:  99%|█████████▉| 10700/10792 [1:12:24<00:31,  2.96it/s, loss=0.0962, rank=0.0298, reg=0.0664]
train epoch 1/1:  99%|█████████▉| 10701/10792 [1:12:24<00:31,  2.93it/s, loss=0.0962, rank=0.0298, reg=0.0664]
train epoch 1/1:  99%|█████████▉| 10701/10792 [1:12:24<00:31,  2.93it/s, loss=0.1008, rank=0.0656, reg=0.0351]
train epoch 1/1:  99%|█████████▉| 10702/10792 [1:12:24<00:28,  3.13it/s, loss=0.1008, rank=0.0656, reg=0.0351]
train epoch 1/1:  99%|█████████▉| 10702/10792 [1:12:24<00:28,  3.13it/s, loss=0.0418, rank=0.0336, reg=0.0082]
train epoch 1/1:  99%|█████████▉| 10703/10792 [1:12:24<00:22,  3.89it/s, loss=0.0418, rank=0.0336, reg=0.0082]
train epoch 1/1:  99%|█████████▉| 10703/10792 [1:12:24<00:22,  3.89it/s, loss=0.0421, rank=0.0168, reg=0.0253]
train epoch 1/1:  99%|█████████▉| 10704/10792 [1:12:24<00:23,  3.71it/s, loss=0.0421, rank=0.0168, reg=0.0253]
train epoch 1/1:  99%|█████████▉| 10704/10792 [1:12:25<00:23,  3.71it/s, loss=0.0773, rank=0.0120, reg=0.0653]
train epoch 1/1:  99%|█████████▉| 10705/10792 [1:12:25<00:23,  3.65it/s, loss=0.0773, rank=0.0120, reg=0.0653]
train epoch 1/1:  99%|█████████▉| 10705/10792 [1:12:25<00:23,  3.65it/s, loss=0.0508, rank=0.0372, reg=0.0136]
train epoch 1/1:  99%|█████████▉| 10706/10792 [1:12:25<00:23,  3.59it/s, loss=0.0508, rank=0.0372, reg=0.0136]
train epoch 1/1:  99%|█████████▉| 10706/10792 [1:12:25<00:23,  3.59it/s, loss=0.1063, rank=0.0634, reg=0.0429]
train epoch 1/1:  99%|█████████▉| 10707/10792 [1:12:25<00:21,  4.05it/s, loss=0.1063, rank=0.0634, reg=0.0429]
train epoch 1/1:  99%|█████████▉| 10707/10792 [1:12:25<00:21,  4.05it/s, loss=0.0228, rank=0.0083, reg=0.0145]
train epoch 1/1:  99%|█████████▉| 10708/10792 [1:12:25<00:21,  3.91it/s, loss=0.0228, rank=0.0083, reg=0.0145]
train epoch 1/1:  99%|█████████▉| 10708/10792 [1:12:26<00:21,  3.91it/s, loss=0.0639, rank=0.0406, reg=0.0233]
train epoch 1/1:  99%|█████████▉| 10709/10792 [1:12:26<00:23,  3.53it/s, loss=0.0639, rank=0.0406, reg=0.0233]
train epoch 1/1:  99%|█████████▉| 10709/10792 [1:12:26<00:23,  3.53it/s, loss=0.1266, rank=0.0707, reg=0.0559]
train epoch 1/1:  99%|█████████▉| 10710/10792 [1:12:26<00:29,  2.76it/s, loss=0.1266, rank=0.0707, reg=0.0559]
train epoch 1/1:  99%|█████████▉| 10710/10792 [1:12:27<00:29,  2.76it/s, loss=0.0873, rank=0.0381, reg=0.0492]
train epoch 1/1:  99%|█████████▉| 10711/10792 [1:12:27<00:32,  2.49it/s, loss=0.0873, rank=0.0381, reg=0.0492]
train epoch 1/1:  99%|█████████▉| 10711/10792 [1:12:28<00:32,  2.49it/s, loss=0.1215, rank=0.0375, reg=0.0840]
train epoch 1/1:  99%|█████████▉| 10712/10792 [1:12:28<00:49,  1.62it/s, loss=0.1215, rank=0.0375, reg=0.0840]
train epoch 1/1:  99%|█████████▉| 10712/10792 [1:12:29<00:49,  1.62it/s, loss=0.1561, rank=0.0605, reg=0.0956]
train epoch 1/1:  99%|█████████▉| 10713/10792 [1:12:29<00:55,  1.44it/s, loss=0.1561, rank=0.0605, reg=0.0956]
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train epoch 1/1:  99%|█████████▉| 10714/10792 [1:12:29<00:49,  1.59it/s, loss=0.0543, rank=0.0273, reg=0.0270]
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train epoch 1/1:  99%|█████████▉| 10715/10792 [1:12:30<00:50,  1.54it/s, loss=0.0702, rank=0.0255, reg=0.0447]
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train epoch 1/1:  99%|█████████▉| 10716/10792 [1:12:30<00:39,  1.93it/s, loss=0.0362, rank=0.0244, reg=0.0118]
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train epoch 1/1:  99%|█████████▉| 10717/10792 [1:12:31<00:38,  1.93it/s, loss=0.1004, rank=0.0451, reg=0.0554]
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train epoch 1/1:  99%|█████████▉| 10718/10792 [1:12:31<00:32,  2.28it/s, loss=0.0360, rank=0.0044, reg=0.0316]
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train epoch 1/1:  99%|█████████▉| 10719/10792 [1:12:31<00:25,  2.88it/s, loss=0.0380, rank=0.0289, reg=0.0091]
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train epoch 1/1:  99%|█████████▉| 10720/10792 [1:12:31<00:25,  2.85it/s, loss=0.0618, rank=0.0333, reg=0.0285]
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train epoch 1/1:  99%|█████████▉| 10721/10792 [1:12:32<00:26,  2.65it/s, loss=0.0417, rank=0.0254, reg=0.0163]
train epoch 1/1:  99%|█████████▉| 10721/10792 [1:12:32<00:26,  2.65it/s, loss=0.0782, rank=0.0554, reg=0.0228]
train epoch 1/1:  99%|█████████▉| 10722/10792 [1:12:32<00:25,  2.78it/s, loss=0.0782, rank=0.0554, reg=0.0228]
train epoch 1/1:  99%|█████████▉| 10722/10792 [1:12:32<00:25,  2.78it/s, loss=0.0185, rank=0.0000, reg=0.0185]
train epoch 1/1:  99%|█████████▉| 10723/10792 [1:12:32<00:23,  2.95it/s, loss=0.0185, rank=0.0000, reg=0.0185]
train epoch 1/1:  99%|█████████▉| 10723/10792 [1:12:33<00:23,  2.95it/s, loss=0.0580, rank=0.0253, reg=0.0327]
train epoch 1/1:  99%|█████████▉| 10724/10792 [1:12:33<00:30,  2.22it/s, loss=0.0580, rank=0.0253, reg=0.0327]
train epoch 1/1:  99%|█████████▉| 10724/10792 [1:12:33<00:30,  2.22it/s, loss=0.1501, rank=0.0876, reg=0.0625]
train epoch 1/1:  99%|█████████▉| 10725/10792 [1:12:33<00:26,  2.53it/s, loss=0.1501, rank=0.0876, reg=0.0625]
train epoch 1/1:  99%|█████████▉| 10725/10792 [1:12:34<00:26,  2.53it/s, loss=0.0662, rank=0.0507, reg=0.0155]
train epoch 1/1:  99%|█████████▉| 10726/10792 [1:12:34<00:28,  2.29it/s, loss=0.0662, rank=0.0507, reg=0.0155]
train epoch 1/1:  99%|█████████▉| 10726/10792 [1:12:34<00:28,  2.29it/s, loss=0.0559, rank=0.0502, reg=0.0057]
train epoch 1/1:  99%|█████████▉| 10727/10792 [1:12:34<00:27,  2.38it/s, loss=0.0559, rank=0.0502, reg=0.0057]
train epoch 1/1:  99%|█████████▉| 10727/10792 [1:12:35<00:27,  2.38it/s, loss=0.0586, rank=0.0541, reg=0.0045]
train epoch 1/1:  99%|█████████▉| 10728/10792 [1:12:35<00:22,  2.91it/s, loss=0.0586, rank=0.0541, reg=0.0045]
train epoch 1/1:  99%|█████████▉| 10728/10792 [1:12:35<00:22,  2.91it/s, loss=0.1903, rank=0.0543, reg=0.1361]
train epoch 1/1:  99%|█████████▉| 10729/10792 [1:12:35<00:21,  2.98it/s, loss=0.1903, rank=0.0543, reg=0.1361]
train epoch 1/1:  99%|█████████▉| 10729/10792 [1:12:35<00:21,  2.98it/s, loss=0.0516, rank=0.0415, reg=0.0102]
train epoch 1/1:  99%|█████████▉| 10730/10792 [1:12:35<00:18,  3.29it/s, loss=0.0516, rank=0.0415, reg=0.0102]
train epoch 1/1:  99%|█████████▉| 10730/10792 [1:12:36<00:18,  3.29it/s, loss=0.1248, rank=0.0904, reg=0.0344]
train epoch 1/1:  99%|█████████▉| 10731/10792 [1:12:36<00:26,  2.31it/s, loss=0.1248, rank=0.0904, reg=0.0344]
train epoch 1/1:  99%|█████████▉| 10731/10792 [1:12:36<00:26,  2.31it/s, loss=0.0767, rank=0.0600, reg=0.0167]
train epoch 1/1:  99%|█████████▉| 10732/10792 [1:12:36<00:29,  2.05it/s, loss=0.0767, rank=0.0600, reg=0.0167]
train epoch 1/1:  99%|█████████▉| 10732/10792 [1:12:37<00:29,  2.05it/s, loss=0.1392, rank=0.0424, reg=0.0968]
train epoch 1/1:  99%|█████████▉| 10733/10792 [1:12:37<00:24,  2.41it/s, loss=0.1392, rank=0.0424, reg=0.0968]
train epoch 1/1:  99%|█████████▉| 10733/10792 [1:12:37<00:24,  2.41it/s, loss=0.0975, rank=0.0582, reg=0.0393]
train epoch 1/1:  99%|█████████▉| 10734/10792 [1:12:37<00:21,  2.72it/s, loss=0.0975, rank=0.0582, reg=0.0393]
train epoch 1/1:  99%|█████████▉| 10734/10792 [1:12:37<00:21,  2.72it/s, loss=0.0685, rank=0.0589, reg=0.0096]
train epoch 1/1:  99%|█████████▉| 10735/10792 [1:12:37<00:20,  2.73it/s, loss=0.0685, rank=0.0589, reg=0.0096]
train epoch 1/1:  99%|█████████▉| 10735/10792 [1:12:38<00:20,  2.73it/s, loss=0.1291, rank=0.0228, reg=0.1063]
train epoch 1/1:  99%|█████████▉| 10736/10792 [1:12:38<00:24,  2.30it/s, loss=0.1291, rank=0.0228, reg=0.1063]
train epoch 1/1:  99%|█████████▉| 10736/10792 [1:12:38<00:24,  2.30it/s, loss=0.0719, rank=0.0617, reg=0.0102]
train epoch 1/1:  99%|█████████▉| 10737/10792 [1:12:38<00:19,  2.80it/s, loss=0.0719, rank=0.0617, reg=0.0102]
train epoch 1/1:  99%|█████████▉| 10737/10792 [1:12:39<00:19,  2.80it/s, loss=0.0742, rank=0.0528, reg=0.0214]
train epoch 1/1:  99%|█████████▉| 10738/10792 [1:12:39<00:25,  2.13it/s, loss=0.0742, rank=0.0528, reg=0.0214]
train epoch 1/1:  99%|█████████▉| 10738/10792 [1:12:39<00:25,  2.13it/s, loss=0.0739, rank=0.0247, reg=0.0492]
train epoch 1/1: 100%|█████████▉| 10739/10792 [1:12:39<00:26,  1.99it/s, loss=0.0739, rank=0.0247, reg=0.0492]
train epoch 1/1: 100%|█████████▉| 10739/10792 [1:12:40<00:26,  1.99it/s, loss=0.0192, rank=0.0092, reg=0.0100]
train epoch 1/1: 100%|█████████▉| 10740/10792 [1:12:40<00:20,  2.49it/s, loss=0.0192, rank=0.0092, reg=0.0100]
train epoch 1/1: 100%|█████████▉| 10740/10792 [1:12:40<00:20,  2.49it/s, loss=0.0904, rank=0.0674, reg=0.0230]
train epoch 1/1: 100%|█████████▉| 10741/10792 [1:12:40<00:20,  2.45it/s, loss=0.0904, rank=0.0674, reg=0.0230]
train epoch 1/1: 100%|█████████▉| 10741/10792 [1:12:41<00:20,  2.45it/s, loss=0.2118, rank=0.0338, reg=0.1780]
train epoch 1/1: 100%|█████████▉| 10742/10792 [1:12:41<00:23,  2.09it/s, loss=0.2118, rank=0.0338, reg=0.1780]
train epoch 1/1: 100%|█████████▉| 10742/10792 [1:12:41<00:23,  2.09it/s, loss=0.0775, rank=0.0518, reg=0.0257]
train epoch 1/1: 100%|█████████▉| 10743/10792 [1:12:41<00:22,  2.15it/s, loss=0.0775, rank=0.0518, reg=0.0257]
train epoch 1/1: 100%|█████████▉| 10743/10792 [1:12:42<00:22,  2.15it/s, loss=0.0735, rank=0.0411, reg=0.0324]
train epoch 1/1: 100%|█████████▉| 10744/10792 [1:12:42<00:27,  1.75it/s, loss=0.0735, rank=0.0411, reg=0.0324]
train epoch 1/1: 100%|█████████▉| 10744/10792 [1:12:42<00:27,  1.75it/s, loss=0.0471, rank=0.0384, reg=0.0086]
train epoch 1/1: 100%|█████████▉| 10745/10792 [1:12:42<00:25,  1.84it/s, loss=0.0471, rank=0.0384, reg=0.0086]
train epoch 1/1: 100%|█████████▉| 10745/10792 [1:12:43<00:25,  1.84it/s, loss=0.0507, rank=0.0233, reg=0.0274]
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train epoch 1/1: 100%|█████████▉| 10746/10792 [1:12:43<00:23,  2.00it/s, loss=0.0735, rank=0.0461, reg=0.0274]
train epoch 1/1: 100%|█████████▉| 10747/10792 [1:12:43<00:20,  2.20it/s, loss=0.0735, rank=0.0461, reg=0.0274]
train epoch 1/1: 100%|█████████▉| 10747/10792 [1:12:44<00:20,  2.20it/s, loss=0.1047, rank=0.0844, reg=0.0203]
train epoch 1/1: 100%|█████████▉| 10748/10792 [1:12:44<00:25,  1.75it/s, loss=0.1047, rank=0.0844, reg=0.0203]
train epoch 1/1: 100%|█████████▉| 10748/10792 [1:12:45<00:25,  1.75it/s, loss=0.0831, rank=0.0276, reg=0.0555]
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train epoch 1/1: 100%|█████████▉| 10749/10792 [1:12:46<00:27,  1.57it/s, loss=0.0808, rank=0.0231, reg=0.0577]
train epoch 1/1: 100%|█████████▉| 10750/10792 [1:12:46<00:28,  1.48it/s, loss=0.0808, rank=0.0231, reg=0.0577]
train epoch 1/1: 100%|█████████▉| 10750/10792 [1:12:46<00:28,  1.48it/s, loss=0.0376, rank=0.0263, reg=0.0113]
train epoch 1/1: 100%|█████████▉| 10751/10792 [1:12:46<00:22,  1.85it/s, loss=0.0376, rank=0.0263, reg=0.0113]
train epoch 1/1: 100%|█████████▉| 10751/10792 [1:12:46<00:22,  1.85it/s, loss=0.1180, rank=0.0402, reg=0.0779]
train epoch 1/1: 100%|█████████▉| 10752/10792 [1:12:46<00:17,  2.23it/s, loss=0.1180, rank=0.0402, reg=0.0779]
train epoch 1/1: 100%|█████████▉| 10752/10792 [1:12:46<00:17,  2.23it/s, loss=0.0790, rank=0.0371, reg=0.0419]
train epoch 1/1: 100%|█████████▉| 10753/10792 [1:12:46<00:15,  2.55it/s, loss=0.0790, rank=0.0371, reg=0.0419]
train epoch 1/1: 100%|█████████▉| 10753/10792 [1:12:46<00:15,  2.55it/s, loss=0.0777, rank=0.0128, reg=0.0650]
train epoch 1/1: 100%|█████████▉| 10754/10792 [1:12:46<00:13,  2.92it/s, loss=0.0777, rank=0.0128, reg=0.0650]
train epoch 1/1: 100%|█████████▉| 10754/10792 [1:12:47<00:13,  2.92it/s, loss=0.0473, rank=0.0259, reg=0.0214]
train epoch 1/1: 100%|█████████▉| 10755/10792 [1:12:47<00:11,  3.30it/s, loss=0.0473, rank=0.0259, reg=0.0214]
train epoch 1/1: 100%|█████████▉| 10755/10792 [1:12:47<00:11,  3.30it/s, loss=0.0870, rank=0.0553, reg=0.0317]
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train epoch 1/1: 100%|█████████▉| 10757/10792 [1:12:48<00:12,  2.90it/s, loss=0.1099, rank=0.0131, reg=0.0969]
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train epoch 1/1: 100%|█████████▉| 10773/10792 [1:12:53<00:07,  2.48it/s, loss=0.0225, rank=0.0060, reg=0.0165]
train epoch 1/1: 100%|█████████▉| 10774/10792 [1:12:53<00:05,  3.08it/s, loss=0.0225, rank=0.0060, reg=0.0165]
train epoch 1/1: 100%|█████████▉| 10774/10792 [1:12:54<00:05,  3.08it/s, loss=0.0926, rank=0.0398, reg=0.0528]
train epoch 1/1: 100%|█████████▉| 10775/10792 [1:12:54<00:06,  2.46it/s, loss=0.0926, rank=0.0398, reg=0.0528]
train epoch 1/1: 100%|█████████▉| 10775/10792 [1:12:54<00:06,  2.46it/s, loss=0.0247, rank=0.0126, reg=0.0121]
train epoch 1/1: 100%|█████████▉| 10776/10792 [1:12:54<00:06,  2.37it/s, loss=0.0247, rank=0.0126, reg=0.0121]
train epoch 1/1: 100%|█████████▉| 10776/10792 [1:12:55<00:06,  2.37it/s, loss=0.0560, rank=0.0395, reg=0.0165]
train epoch 1/1: 100%|█████████▉| 10777/10792 [1:12:55<00:06,  2.48it/s, loss=0.0560, rank=0.0395, reg=0.0165]
train epoch 1/1: 100%|█████████▉| 10777/10792 [1:12:55<00:06,  2.48it/s, loss=0.1045, rank=0.0784, reg=0.0261]
train epoch 1/1: 100%|█████████▉| 10778/10792 [1:12:55<00:05,  2.79it/s, loss=0.1045, rank=0.0784, reg=0.0261]
train epoch 1/1: 100%|█████████▉| 10778/10792 [1:12:55<00:05,  2.79it/s, loss=0.0872, rank=0.0668, reg=0.0204]
train epoch 1/1: 100%|█████████▉| 10779/10792 [1:12:55<00:04,  3.02it/s, loss=0.0872, rank=0.0668, reg=0.0204]
train epoch 1/1: 100%|█████████▉| 10779/10792 [1:12:56<00:04,  3.02it/s, loss=0.0427, rank=0.0246, reg=0.0181]
train epoch 1/1: 100%|█████████▉| 10780/10792 [1:12:56<00:05,  2.13it/s, loss=0.0427, rank=0.0246, reg=0.0181]
train epoch 1/1: 100%|█████████▉| 10780/10792 [1:12:57<00:05,  2.13it/s, loss=0.0979, rank=0.0582, reg=0.0397]
train epoch 1/1: 100%|█████████▉| 10781/10792 [1:12:57<00:05,  2.14it/s, loss=0.0979, rank=0.0582, reg=0.0397]
train epoch 1/1: 100%|█████████▉| 10781/10792 [1:12:57<00:05,  2.14it/s, loss=0.1065, rank=0.0934, reg=0.0131]
train epoch 1/1: 100%|█████████▉| 10782/10792 [1:12:57<00:03,  2.55it/s, loss=0.1065, rank=0.0934, reg=0.0131]
train epoch 1/1: 100%|█████████▉| 10782/10792 [1:12:57<00:03,  2.55it/s, loss=0.0589, rank=0.0344, reg=0.0245]
train epoch 1/1: 100%|█████████▉| 10783/10792 [1:12:57<00:04,  2.19it/s, loss=0.0589, rank=0.0344, reg=0.0245]
train epoch 1/1: 100%|█████████▉| 10783/10792 [1:12:58<00:04,  2.19it/s, loss=0.0332, rank=0.0240, reg=0.0092]
train epoch 1/1: 100%|█████████▉| 10784/10792 [1:12:58<00:04,  1.85it/s, loss=0.0332, rank=0.0240, reg=0.0092]
train epoch 1/1: 100%|█████████▉| 10784/10792 [1:12:59<00:04,  1.85it/s, loss=0.0654, rank=0.0503, reg=0.0150]
train epoch 1/1: 100%|█████████▉| 10785/10792 [1:12:59<00:03,  1.96it/s, loss=0.0654, rank=0.0503, reg=0.0150]
train epoch 1/1: 100%|█████████▉| 10785/10792 [1:12:59<00:03,  1.96it/s, loss=0.0605, rank=0.0512, reg=0.0093]
train epoch 1/1: 100%|█████████▉| 10786/10792 [1:12:59<00:03,  1.93it/s, loss=0.0605, rank=0.0512, reg=0.0093]
train epoch 1/1: 100%|█████████▉| 10786/10792 [1:13:00<00:03,  1.93it/s, loss=0.0357, rank=0.0000, reg=0.0357]
train epoch 1/1: 100%|█████████▉| 10787/10792 [1:13:00<00:03,  1.48it/s, loss=0.0357, rank=0.0000, reg=0.0357]
train epoch 1/1: 100%|█████████▉| 10787/10792 [1:13:01<00:03,  1.48it/s, loss=0.0938, rank=0.0822, reg=0.0117]
train epoch 1/1: 100%|█████████▉| 10788/10792 [1:13:01<00:02,  1.74it/s, loss=0.0938, rank=0.0822, reg=0.0117]
train epoch 1/1: 100%|█████████▉| 10788/10792 [1:13:01<00:02,  1.74it/s, loss=0.0700, rank=0.0433, reg=0.0266]
train epoch 1/1: 100%|█████████▉| 10789/10792 [1:13:01<00:01,  2.06it/s, loss=0.0700, rank=0.0433, reg=0.0266]
train epoch 1/1: 100%|█████████▉| 10789/10792 [1:13:01<00:01,  2.06it/s, loss=0.1124, rank=0.0511, reg=0.0613]
train epoch 1/1: 100%|█████████▉| 10790/10792 [1:13:01<00:00,  2.07it/s, loss=0.1124, rank=0.0511, reg=0.0613]
train epoch 1/1: 100%|█████████▉| 10790/10792 [1:13:01<00:00,  2.07it/s, loss=0.0962, rank=0.0596, reg=0.0366]
train epoch 1/1: 100%|█████████▉| 10791/10792 [1:13:01<00:00,  2.47it/s, loss=0.0962, rank=0.0596, reg=0.0366]
train epoch 1/1: 100%|█████████▉| 10791/10792 [1:13:02<00:00,  2.47it/s, loss=0.0754, rank=0.0258, reg=0.0496]
train epoch 1/1: 100%|██████████| 10792/10792 [1:13:02<00:00,  2.84it/s, loss=0.0754, rank=0.0258, reg=0.0496]
                                                                                                              

eval epoch 1/1:   0%|          | 0/1361 [00:00<?, ?it/s]
eval epoch 1/1:   0%|          | 0/1361 [00:00<?, ?it/s, loss=0.1428, rank=0.0767, reg=0.0660]
eval epoch 1/1:   0%|          | 0/1361 [00:00<?, ?it/s, loss=0.0717, rank=0.0622, reg=0.0095]
eval epoch 1/1:   0%|          | 2/1361 [00:00<02:01, 11.20it/s, loss=0.0717, rank=0.0622, reg=0.0095]
eval epoch 1/1:   0%|          | 2/1361 [00:00<02:01, 11.20it/s, loss=0.0763, rank=0.0570, reg=0.0192]
eval epoch 1/1:   0%|          | 2/1361 [00:00<02:01, 11.20it/s, loss=0.0858, rank=0.0431, reg=0.0427]
eval epoch 1/1:   0%|          | 4/1361 [00:00<01:49, 12.38it/s, loss=0.0858, rank=0.0431, reg=0.0427]
eval epoch 1/1:   0%|          | 4/1361 [00:00<01:49, 12.38it/s, loss=0.1339, rank=0.0454, reg=0.0885]
eval epoch 1/1:   0%|          | 4/1361 [00:00<01:49, 12.38it/s, loss=0.0591, rank=0.0192, reg=0.0399]
eval epoch 1/1:   0%|          | 6/1361 [00:00<01:48, 12.52it/s, loss=0.0591, rank=0.0192, reg=0.0399]
eval epoch 1/1:   0%|          | 6/1361 [00:00<01:48, 12.52it/s, loss=0.0451, rank=0.0242, reg=0.0208]
eval epoch 1/1:   0%|          | 6/1361 [00:00<01:48, 12.52it/s, loss=0.0549, rank=0.0341, reg=0.0208]
eval epoch 1/1:   1%|          | 8/1361 [00:00<01:55, 11.70it/s, loss=0.0549, rank=0.0341, reg=0.0208]
eval epoch 1/1:   1%|          | 8/1361 [00:00<01:55, 11.70it/s, loss=0.0673, rank=0.0441, reg=0.0232]
eval epoch 1/1:   1%|          | 8/1361 [00:00<01:55, 11.70it/s, loss=0.0841, rank=0.0547, reg=0.0294]
eval epoch 1/1:   1%|          | 10/1361 [00:00<02:10, 10.37it/s, loss=0.0841, rank=0.0547, reg=0.0294]
eval epoch 1/1:   1%|          | 10/1361 [00:00<02:10, 10.37it/s, loss=0.0683, rank=0.0403, reg=0.0281]
eval epoch 1/1:   1%|          | 10/1361 [00:01<02:10, 10.37it/s, loss=0.1075, rank=0.0847, reg=0.0228]
eval epoch 1/1:   1%|          | 12/1361 [00:01<02:03, 10.90it/s, loss=0.1075, rank=0.0847, reg=0.0228]
eval epoch 1/1:   1%|          | 12/1361 [00:01<02:03, 10.90it/s, loss=0.0809, rank=0.0634, reg=0.0175]
eval epoch 1/1:   1%|          | 12/1361 [00:01<02:03, 10.90it/s, loss=0.0715, rank=0.0608, reg=0.0107]
eval epoch 1/1:   1%|          | 14/1361 [00:01<02:03, 10.91it/s, loss=0.0715, rank=0.0608, reg=0.0107]
eval epoch 1/1:   1%|          | 14/1361 [00:01<02:03, 10.91it/s, loss=0.0421, rank=0.0222, reg=0.0199]
eval epoch 1/1:   1%|          | 14/1361 [00:01<02:03, 10.91it/s, loss=0.0225, rank=0.0000, reg=0.0225]
eval epoch 1/1:   1%|          | 16/1361 [00:01<01:58, 11.33it/s, loss=0.0225, rank=0.0000, reg=0.0225]
eval epoch 1/1:   1%|          | 16/1361 [00:01<01:58, 11.33it/s, loss=0.1662, rank=0.0509, reg=0.1153]
eval epoch 1/1:   1%|          | 16/1361 [00:01<01:58, 11.33it/s, loss=0.0475, rank=0.0159, reg=0.0317]
eval epoch 1/1:   1%|▏         | 18/1361 [00:01<01:56, 11.58it/s, loss=0.0475, rank=0.0159, reg=0.0317]
eval epoch 1/1:   1%|▏         | 18/1361 [00:01<01:56, 11.58it/s, loss=0.0547, rank=0.0325, reg=0.0222]
eval epoch 1/1:   1%|▏         | 18/1361 [00:01<01:56, 11.58it/s, loss=0.0585, rank=0.0262, reg=0.0323]
eval epoch 1/1:   1%|▏         | 20/1361 [00:01<01:59, 11.23it/s, loss=0.0585, rank=0.0262, reg=0.0323]
eval epoch 1/1:   1%|▏         | 20/1361 [00:01<01:59, 11.23it/s, loss=0.0672, rank=0.0499, reg=0.0173]
eval epoch 1/1:   1%|▏         | 20/1361 [00:01<01:59, 11.23it/s, loss=0.0381, rank=0.0301, reg=0.0081]
eval epoch 1/1:   2%|▏         | 22/1361 [00:01<01:56, 11.54it/s, loss=0.0381, rank=0.0301, reg=0.0081]
eval epoch 1/1:   2%|▏         | 22/1361 [00:02<01:56, 11.54it/s, loss=0.0292, rank=0.0123, reg=0.0169]
eval epoch 1/1:   2%|▏         | 22/1361 [00:02<01:56, 11.54it/s, loss=0.0390, rank=0.0225, reg=0.0165]
eval epoch 1/1:   2%|▏         | 24/1361 [00:02<01:53, 11.77it/s, loss=0.0390, rank=0.0225, reg=0.0165]
eval epoch 1/1:   2%|▏         | 24/1361 [00:02<01:53, 11.77it/s, loss=0.0833, rank=0.0535, reg=0.0298]
eval epoch 1/1:   2%|▏         | 24/1361 [00:02<01:53, 11.77it/s, loss=0.0650, rank=0.0335, reg=0.0315]
eval epoch 1/1:   2%|▏         | 26/1361 [00:02<01:52, 11.82it/s, loss=0.0650, rank=0.0335, reg=0.0315]
eval epoch 1/1:   2%|▏         | 26/1361 [00:02<01:52, 11.82it/s, loss=0.1124, rank=0.0761, reg=0.0363]
eval epoch 1/1:   2%|▏         | 26/1361 [00:02<01:52, 11.82it/s, loss=0.0875, rank=0.0655, reg=0.0220]
eval epoch 1/1:   2%|▏         | 28/1361 [00:02<01:51, 11.95it/s, loss=0.0875, rank=0.0655, reg=0.0220]
eval epoch 1/1:   2%|▏         | 28/1361 [00:02<01:51, 11.95it/s, loss=0.0437, rank=0.0235, reg=0.0203]
eval epoch 1/1:   2%|▏         | 28/1361 [00:02<01:51, 11.95it/s, loss=0.0788, rank=0.0448, reg=0.0340]
eval epoch 1/1:   2%|▏         | 30/1361 [00:02<01:50, 12.04it/s, loss=0.0788, rank=0.0448, reg=0.0340]
eval epoch 1/1:   2%|▏         | 30/1361 [00:02<01:50, 12.04it/s, loss=0.0682, rank=0.0035, reg=0.0647]
eval epoch 1/1:   2%|▏         | 30/1361 [00:02<01:50, 12.04it/s, loss=0.0572, rank=0.0459, reg=0.0113]
eval epoch 1/1:   2%|▏         | 32/1361 [00:02<01:56, 11.42it/s, loss=0.0572, rank=0.0459, reg=0.0113]
eval epoch 1/1:   2%|▏         | 32/1361 [00:02<01:56, 11.42it/s, loss=0.0599, rank=0.0230, reg=0.0368]
eval epoch 1/1:   2%|▏         | 32/1361 [00:02<01:56, 11.42it/s, loss=0.1590, rank=0.1343, reg=0.0247]
eval epoch 1/1:   2%|▏         | 34/1361 [00:02<01:54, 11.61it/s, loss=0.1590, rank=0.1343, reg=0.0247]
eval epoch 1/1:   2%|▏         | 34/1361 [00:03<01:54, 11.61it/s, loss=0.1701, rank=0.1036, reg=0.0665]
eval epoch 1/1:   2%|▏         | 34/1361 [00:03<01:54, 11.61it/s, loss=0.0897, rank=0.0614, reg=0.0283]
eval epoch 1/1:   3%|▎         | 36/1361 [00:03<01:52, 11.83it/s, loss=0.0897, rank=0.0614, reg=0.0283]
eval epoch 1/1:   3%|▎         | 36/1361 [00:03<01:52, 11.83it/s, loss=0.1801, rank=0.0137, reg=0.1663]
eval epoch 1/1:   3%|▎         | 36/1361 [00:03<01:52, 11.83it/s, loss=0.0543, rank=0.0324, reg=0.0220]
eval epoch 1/1:   3%|▎         | 38/1361 [00:03<01:49, 12.06it/s, loss=0.0543, rank=0.0324, reg=0.0220]
eval epoch 1/1:   3%|▎         | 38/1361 [00:03<01:49, 12.06it/s, loss=0.0417, rank=0.0251, reg=0.0166]
eval epoch 1/1:   3%|▎         | 38/1361 [00:03<01:49, 12.06it/s, loss=0.0373, rank=0.0182, reg=0.0191]
eval epoch 1/1:   3%|▎         | 40/1361 [00:03<01:46, 12.39it/s, loss=0.0373, rank=0.0182, reg=0.0191]
eval epoch 1/1:   3%|▎         | 40/1361 [00:03<01:46, 12.39it/s, loss=0.0515, rank=0.0471, reg=0.0045]
eval epoch 1/1:   3%|▎         | 40/1361 [00:03<01:46, 12.39it/s, loss=0.0863, rank=0.0333, reg=0.0530]
eval epoch 1/1:   3%|▎         | 42/1361 [00:03<01:49, 12.07it/s, loss=0.0863, rank=0.0333, reg=0.0530]
eval epoch 1/1:   3%|▎         | 42/1361 [00:03<01:49, 12.07it/s, loss=0.0400, rank=0.0294, reg=0.0106]
eval epoch 1/1:   3%|▎         | 42/1361 [00:03<01:49, 12.07it/s, loss=0.1802, rank=0.1100, reg=0.0701]
eval epoch 1/1:   3%|▎         | 44/1361 [00:03<01:52, 11.74it/s, loss=0.1802, rank=0.1100, reg=0.0701]
eval epoch 1/1:   3%|▎         | 44/1361 [00:03<01:52, 11.74it/s, loss=0.0837, rank=0.0373, reg=0.0463]
eval epoch 1/1:   3%|▎         | 44/1361 [00:03<01:52, 11.74it/s, loss=0.1048, rank=0.0424, reg=0.0625]
eval epoch 1/1:   3%|▎         | 46/1361 [00:03<01:48, 12.15it/s, loss=0.1048, rank=0.0424, reg=0.0625]
eval epoch 1/1:   3%|▎         | 46/1361 [00:04<01:48, 12.15it/s, loss=0.0602, rank=0.0363, reg=0.0239]
eval epoch 1/1:   3%|▎         | 46/1361 [00:04<01:48, 12.15it/s, loss=0.0623, rank=0.0496, reg=0.0126]
eval epoch 1/1:   4%|▎         | 48/1361 [00:04<02:03, 10.64it/s, loss=0.0623, rank=0.0496, reg=0.0126]
eval epoch 1/1:   4%|▎         | 48/1361 [00:04<02:03, 10.64it/s, loss=0.0643, rank=0.0417, reg=0.0226]
eval epoch 1/1:   4%|▎         | 48/1361 [00:04<02:03, 10.64it/s, loss=0.0574, rank=0.0496, reg=0.0078]
eval epoch 1/1:   4%|▎         | 50/1361 [00:04<02:10, 10.05it/s, loss=0.0574, rank=0.0496, reg=0.0078]
eval epoch 1/1:   4%|▎         | 50/1361 [00:04<02:10, 10.05it/s, loss=0.0770, rank=0.0360, reg=0.0410]
eval epoch 1/1:   4%|▎         | 50/1361 [00:04<02:10, 10.05it/s, loss=0.0606, rank=0.0065, reg=0.0541]
eval epoch 1/1:   4%|▍         | 52/1361 [00:04<02:09, 10.13it/s, loss=0.0606, rank=0.0065, reg=0.0541]
eval epoch 1/1:   4%|▍         | 52/1361 [00:04<02:09, 10.13it/s, loss=0.0517, rank=0.0225, reg=0.0292]
eval epoch 1/1:   4%|▍         | 52/1361 [00:04<02:09, 10.13it/s, loss=0.0811, rank=0.0684, reg=0.0127]
eval epoch 1/1:   4%|▍         | 54/1361 [00:04<02:14,  9.72it/s, loss=0.0811, rank=0.0684, reg=0.0127]
eval epoch 1/1:   4%|▍         | 54/1361 [00:04<02:14,  9.72it/s, loss=0.1039, rank=0.0232, reg=0.0807]
eval epoch 1/1:   4%|▍         | 54/1361 [00:05<02:14,  9.72it/s, loss=0.0420, rank=0.0065, reg=0.0354]
eval epoch 1/1:   4%|▍         | 56/1361 [00:05<02:10,  9.98it/s, loss=0.0420, rank=0.0065, reg=0.0354]
eval epoch 1/1:   4%|▍         | 56/1361 [00:05<02:10,  9.98it/s, loss=0.0371, rank=0.0255, reg=0.0116]
eval epoch 1/1:   4%|▍         | 56/1361 [00:05<02:10,  9.98it/s, loss=0.0556, rank=0.0419, reg=0.0136]
eval epoch 1/1:   4%|▍         | 58/1361 [00:05<02:17,  9.48it/s, loss=0.0556, rank=0.0419, reg=0.0136]
eval epoch 1/1:   4%|▍         | 58/1361 [00:05<02:17,  9.48it/s, loss=0.0661, rank=0.0311, reg=0.0350]
eval epoch 1/1:   4%|▍         | 58/1361 [00:05<02:17,  9.48it/s, loss=0.1024, rank=0.0708, reg=0.0316]
eval epoch 1/1:   4%|▍         | 60/1361 [00:05<02:07, 10.17it/s, loss=0.1024, rank=0.0708, reg=0.0316]
eval epoch 1/1:   4%|▍         | 60/1361 [00:05<02:07, 10.17it/s, loss=0.0552, rank=0.0397, reg=0.0155]
eval epoch 1/1:   4%|▍         | 60/1361 [00:05<02:07, 10.17it/s, loss=0.0729, rank=0.0593, reg=0.0136]
eval epoch 1/1:   5%|▍         | 62/1361 [00:05<02:01, 10.71it/s, loss=0.0729, rank=0.0593, reg=0.0136]
eval epoch 1/1:   5%|▍         | 62/1361 [00:05<02:01, 10.71it/s, loss=0.0641, rank=0.0349, reg=0.0292]
eval epoch 1/1:   5%|▍         | 62/1361 [00:05<02:01, 10.71it/s, loss=0.1035, rank=0.0740, reg=0.0295]
eval epoch 1/1:   5%|▍         | 64/1361 [00:05<02:06, 10.29it/s, loss=0.1035, rank=0.0740, reg=0.0295]
eval epoch 1/1:   5%|▍         | 64/1361 [00:05<02:06, 10.29it/s, loss=0.0885, rank=0.0642, reg=0.0243]
eval epoch 1/1:   5%|▍         | 64/1361 [00:05<02:06, 10.29it/s, loss=0.0456, rank=0.0251, reg=0.0205]
eval epoch 1/1:   5%|▍         | 66/1361 [00:05<01:57, 10.99it/s, loss=0.0456, rank=0.0251, reg=0.0205]
eval epoch 1/1:   5%|▍         | 66/1361 [00:06<01:57, 10.99it/s, loss=0.0729, rank=0.0449, reg=0.0280]
eval epoch 1/1:   5%|▍         | 66/1361 [00:06<01:57, 10.99it/s, loss=0.1637, rank=0.1483, reg=0.0154]
eval epoch 1/1:   5%|▍         | 68/1361 [00:06<01:54, 11.33it/s, loss=0.1637, rank=0.1483, reg=0.0154]
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eval epoch 1/1:   5%|▍         | 68/1361 [00:06<01:54, 11.33it/s, loss=0.0583, rank=0.0273, reg=0.0310]
eval epoch 1/1:   5%|▌         | 70/1361 [00:06<01:54, 11.32it/s, loss=0.0583, rank=0.0273, reg=0.0310]
eval epoch 1/1:   5%|▌         | 70/1361 [00:06<01:54, 11.32it/s, loss=0.0925, rank=0.0279, reg=0.0646]
eval epoch 1/1:   5%|▌         | 70/1361 [00:06<01:54, 11.32it/s, loss=0.1013, rank=0.0524, reg=0.0489]
eval epoch 1/1:   5%|▌         | 72/1361 [00:06<01:51, 11.60it/s, loss=0.1013, rank=0.0524, reg=0.0489]
eval epoch 1/1:   5%|▌         | 72/1361 [00:06<01:51, 11.60it/s, loss=0.0831, rank=0.0440, reg=0.0391]
eval epoch 1/1:   5%|▌         | 72/1361 [00:06<01:51, 11.60it/s, loss=0.0903, rank=0.0530, reg=0.0373]
eval epoch 1/1:   5%|▌         | 74/1361 [00:06<01:50, 11.68it/s, loss=0.0903, rank=0.0530, reg=0.0373]
eval epoch 1/1:   5%|▌         | 74/1361 [00:06<01:50, 11.68it/s, loss=0.0651, rank=0.0340, reg=0.0311]
eval epoch 1/1:   5%|▌         | 74/1361 [00:06<01:50, 11.68it/s, loss=0.0415, rank=0.0243, reg=0.0172]
eval epoch 1/1:   6%|▌         | 76/1361 [00:06<01:57, 10.89it/s, loss=0.0415, rank=0.0243, reg=0.0172]
eval epoch 1/1:   6%|▌         | 76/1361 [00:06<01:57, 10.89it/s, loss=0.0494, rank=0.0355, reg=0.0139]
eval epoch 1/1:   6%|▌         | 76/1361 [00:06<01:57, 10.89it/s, loss=0.0376, rank=0.0288, reg=0.0088]
eval epoch 1/1:   6%|▌         | 78/1361 [00:06<01:56, 10.99it/s, loss=0.0376, rank=0.0288, reg=0.0088]
eval epoch 1/1:   6%|▌         | 78/1361 [00:07<01:56, 10.99it/s, loss=0.0480, rank=0.0406, reg=0.0075]
eval epoch 1/1:   6%|▌         | 78/1361 [00:07<01:56, 10.99it/s, loss=0.0755, rank=0.0519, reg=0.0236]
eval epoch 1/1:   6%|▌         | 80/1361 [00:07<01:51, 11.50it/s, loss=0.0755, rank=0.0519, reg=0.0236]
eval epoch 1/1:   6%|▌         | 80/1361 [00:07<01:51, 11.50it/s, loss=0.1336, rank=0.0620, reg=0.0716]
eval epoch 1/1:   6%|▌         | 80/1361 [00:07<01:51, 11.50it/s, loss=0.0511, rank=0.0366, reg=0.0145]
eval epoch 1/1:   6%|▌         | 82/1361 [00:07<01:49, 11.72it/s, loss=0.0511, rank=0.0366, reg=0.0145]
eval epoch 1/1:   6%|▌         | 82/1361 [00:07<01:49, 11.72it/s, loss=0.1585, rank=0.0697, reg=0.0889]
eval epoch 1/1:   6%|▌         | 82/1361 [00:07<01:49, 11.72it/s, loss=0.0891, rank=0.0705, reg=0.0186]
eval epoch 1/1:   6%|▌         | 84/1361 [00:07<01:46, 12.03it/s, loss=0.0891, rank=0.0705, reg=0.0186]
eval epoch 1/1:   6%|▌         | 84/1361 [00:07<01:46, 12.03it/s, loss=0.2156, rank=0.0061, reg=0.2095]
eval epoch 1/1:   6%|▌         | 84/1361 [00:07<01:46, 12.03it/s, loss=0.0954, rank=0.0465, reg=0.0489]
eval epoch 1/1:   6%|▋         | 86/1361 [00:07<01:48, 11.75it/s, loss=0.0954, rank=0.0465, reg=0.0489]
eval epoch 1/1:   6%|▋         | 86/1361 [00:07<01:48, 11.75it/s, loss=0.0892, rank=0.0417, reg=0.0475]
eval epoch 1/1:   6%|▋         | 86/1361 [00:07<01:48, 11.75it/s, loss=0.0779, rank=0.0672, reg=0.0107]
eval epoch 1/1:   6%|▋         | 88/1361 [00:07<01:51, 11.46it/s, loss=0.0779, rank=0.0672, reg=0.0107]
eval epoch 1/1:   6%|▋         | 88/1361 [00:07<01:51, 11.46it/s, loss=0.0375, rank=0.0220, reg=0.0155]
eval epoch 1/1:   6%|▋         | 88/1361 [00:07<01:51, 11.46it/s, loss=0.0807, rank=0.0479, reg=0.0328]
eval epoch 1/1:   7%|▋         | 90/1361 [00:08<01:49, 11.59it/s, loss=0.0807, rank=0.0479, reg=0.0328]
eval epoch 1/1:   7%|▋         | 90/1361 [00:08<01:49, 11.59it/s, loss=0.0828, rank=0.0587, reg=0.0241]
eval epoch 1/1:   7%|▋         | 90/1361 [00:08<01:49, 11.59it/s, loss=0.1186, rank=0.0785, reg=0.0401]
eval epoch 1/1:   7%|▋         | 92/1361 [00:08<01:52, 11.24it/s, loss=0.1186, rank=0.0785, reg=0.0401]
eval epoch 1/1:   7%|▋         | 92/1361 [00:08<01:52, 11.24it/s, loss=0.0448, rank=0.0233, reg=0.0215]
eval epoch 1/1:   7%|▋         | 92/1361 [00:08<01:52, 11.24it/s, loss=0.0992, rank=0.0516, reg=0.0477]
eval epoch 1/1:   7%|▋         | 94/1361 [00:08<01:50, 11.51it/s, loss=0.0992, rank=0.0516, reg=0.0477]
eval epoch 1/1:   7%|▋         | 94/1361 [00:08<01:50, 11.51it/s, loss=0.0859, rank=0.0678, reg=0.0181]
eval epoch 1/1:   7%|▋         | 94/1361 [00:08<01:50, 11.51it/s, loss=0.0803, rank=0.0541, reg=0.0263]
eval epoch 1/1:   7%|▋         | 96/1361 [00:08<01:46, 11.86it/s, loss=0.0803, rank=0.0541, reg=0.0263]
eval epoch 1/1:   7%|▋         | 96/1361 [00:08<01:46, 11.86it/s, loss=0.0646, rank=0.0560, reg=0.0087]
eval epoch 1/1:   7%|▋         | 96/1361 [00:08<01:46, 11.86it/s, loss=0.0510, rank=0.0246, reg=0.0264]
eval epoch 1/1:   7%|▋         | 98/1361 [00:08<01:44, 12.09it/s, loss=0.0510, rank=0.0246, reg=0.0264]
eval epoch 1/1:   7%|▋         | 98/1361 [00:08<01:44, 12.09it/s, loss=0.1941, rank=0.1616, reg=0.0325]
eval epoch 1/1:   7%|▋         | 98/1361 [00:08<01:44, 12.09it/s, loss=0.1052, rank=0.0505, reg=0.0547]
eval epoch 1/1:   7%|▋         | 100/1361 [00:08<01:42, 12.32it/s, loss=0.1052, rank=0.0505, reg=0.0547]
eval epoch 1/1:   7%|▋         | 100/1361 [00:08<01:42, 12.32it/s, loss=0.0243, rank=0.0156, reg=0.0086]
eval epoch 1/1:   7%|▋         | 100/1361 [00:08<01:42, 12.32it/s, loss=0.0622, rank=0.0226, reg=0.0396]
eval epoch 1/1:   7%|▋         | 102/1361 [00:08<01:42, 12.31it/s, loss=0.0622, rank=0.0226, reg=0.0396]
eval epoch 1/1:   7%|▋         | 102/1361 [00:09<01:42, 12.31it/s, loss=0.0714, rank=0.0451, reg=0.0263]
eval epoch 1/1:   7%|▋         | 102/1361 [00:09<01:42, 12.31it/s, loss=0.2190, rank=0.2049, reg=0.0141]
eval epoch 1/1:   8%|▊         | 104/1361 [00:09<01:39, 12.62it/s, loss=0.2190, rank=0.2049, reg=0.0141]
eval epoch 1/1:   8%|▊         | 104/1361 [00:09<01:39, 12.62it/s, loss=0.0662, rank=0.0180, reg=0.0482]
eval epoch 1/1:   8%|▊         | 104/1361 [00:09<01:39, 12.62it/s, loss=0.0618, rank=0.0289, reg=0.0329]
eval epoch 1/1:   8%|▊         | 106/1361 [00:09<01:44, 12.02it/s, loss=0.0618, rank=0.0289, reg=0.0329]
eval epoch 1/1:   8%|▊         | 106/1361 [00:09<01:44, 12.02it/s, loss=0.1806, rank=0.0891, reg=0.0915]
eval epoch 1/1:   8%|▊         | 106/1361 [00:09<01:44, 12.02it/s, loss=0.0481, rank=0.0392, reg=0.0088]
eval epoch 1/1:   8%|▊         | 108/1361 [00:09<01:54, 10.92it/s, loss=0.0481, rank=0.0392, reg=0.0088]
eval epoch 1/1:   8%|▊         | 108/1361 [00:09<01:54, 10.92it/s, loss=0.0501, rank=0.0357, reg=0.0143]
eval epoch 1/1:   8%|▊         | 108/1361 [00:09<01:54, 10.92it/s, loss=0.0279, rank=0.0093, reg=0.0185]
eval epoch 1/1:   8%|▊         | 110/1361 [00:09<01:51, 11.25it/s, loss=0.0279, rank=0.0093, reg=0.0185]
eval epoch 1/1:   8%|▊         | 110/1361 [00:09<01:51, 11.25it/s, loss=0.0865, rank=0.0498, reg=0.0367]
eval epoch 1/1:   8%|▊         | 110/1361 [00:09<01:51, 11.25it/s, loss=0.0427, rank=0.0222, reg=0.0205]
eval epoch 1/1:   8%|▊         | 112/1361 [00:09<01:49, 11.44it/s, loss=0.0427, rank=0.0222, reg=0.0205]
eval epoch 1/1:   8%|▊         | 112/1361 [00:09<01:49, 11.44it/s, loss=0.0291, rank=0.0053, reg=0.0238]
eval epoch 1/1:   8%|▊         | 112/1361 [00:10<01:49, 11.44it/s, loss=0.0829, rank=0.0514, reg=0.0315]
eval epoch 1/1:   8%|▊         | 114/1361 [00:10<01:45, 11.79it/s, loss=0.0829, rank=0.0514, reg=0.0315]
eval epoch 1/1:   8%|▊         | 114/1361 [00:10<01:45, 11.79it/s, loss=0.0952, rank=0.0553, reg=0.0399]
eval epoch 1/1:   8%|▊         | 114/1361 [00:10<01:45, 11.79it/s, loss=0.0424, rank=0.0296, reg=0.0128]
eval epoch 1/1:   9%|▊         | 116/1361 [00:10<01:43, 12.07it/s, loss=0.0424, rank=0.0296, reg=0.0128]
eval epoch 1/1:   9%|▊         | 116/1361 [00:10<01:43, 12.07it/s, loss=0.1844, rank=0.0539, reg=0.1305]
eval epoch 1/1:   9%|▊         | 116/1361 [00:10<01:43, 12.07it/s, loss=0.0590, rank=0.0452, reg=0.0138]
eval epoch 1/1:   9%|▊         | 118/1361 [00:10<01:42, 12.18it/s, loss=0.0590, rank=0.0452, reg=0.0138]
eval epoch 1/1:   9%|▊         | 118/1361 [00:10<01:42, 12.18it/s, loss=0.0676, rank=0.0117, reg=0.0558]
eval epoch 1/1:   9%|▊         | 118/1361 [00:10<01:42, 12.18it/s, loss=0.0527, rank=0.0401, reg=0.0126]
eval epoch 1/1:   9%|▉         | 120/1361 [00:10<01:55, 10.71it/s, loss=0.0527, rank=0.0401, reg=0.0126]
eval epoch 1/1:   9%|▉         | 120/1361 [00:10<01:55, 10.71it/s, loss=0.1143, rank=0.0299, reg=0.0844]
eval epoch 1/1:   9%|▉         | 120/1361 [00:10<01:55, 10.71it/s, loss=0.0543, rank=0.0488, reg=0.0056]
eval epoch 1/1:   9%|▉         | 122/1361 [00:10<01:57, 10.50it/s, loss=0.0543, rank=0.0488, reg=0.0056]
eval epoch 1/1:   9%|▉         | 122/1361 [00:10<01:57, 10.50it/s, loss=0.1916, rank=0.1565, reg=0.0351]
eval epoch 1/1:   9%|▉         | 122/1361 [00:10<01:57, 10.50it/s, loss=0.1077, rank=0.0189, reg=0.0888]
eval epoch 1/1:   9%|▉         | 124/1361 [00:10<01:50, 11.16it/s, loss=0.1077, rank=0.0189, reg=0.0888]
eval epoch 1/1:   9%|▉         | 124/1361 [00:11<01:50, 11.16it/s, loss=0.0220, rank=0.0024, reg=0.0196]
eval epoch 1/1:   9%|▉         | 124/1361 [00:11<01:50, 11.16it/s, loss=0.0640, rank=0.0185, reg=0.0455]
eval epoch 1/1:   9%|▉         | 126/1361 [00:11<01:45, 11.72it/s, loss=0.0640, rank=0.0185, reg=0.0455]
eval epoch 1/1:   9%|▉         | 126/1361 [00:11<01:45, 11.72it/s, loss=0.0554, rank=0.0321, reg=0.0232]
eval epoch 1/1:   9%|▉         | 126/1361 [00:11<01:45, 11.72it/s, loss=0.0918, rank=0.0473, reg=0.0444]
eval epoch 1/1:   9%|▉         | 128/1361 [00:11<01:43, 11.86it/s, loss=0.0918, rank=0.0473, reg=0.0444]
eval epoch 1/1:   9%|▉         | 128/1361 [00:11<01:43, 11.86it/s, loss=0.0770, rank=0.0518, reg=0.0251]
eval epoch 1/1:   9%|▉         | 128/1361 [00:11<01:43, 11.86it/s, loss=0.0931, rank=0.0164, reg=0.0767]
eval epoch 1/1:  10%|▉         | 130/1361 [00:11<01:43, 11.90it/s, loss=0.0931, rank=0.0164, reg=0.0767]
eval epoch 1/1:  10%|▉         | 130/1361 [00:11<01:43, 11.90it/s, loss=0.0675, rank=0.0447, reg=0.0228]
eval epoch 1/1:  10%|▉         | 130/1361 [00:11<01:43, 11.90it/s, loss=0.1936, rank=0.0960, reg=0.0976]
eval epoch 1/1:  10%|▉         | 132/1361 [00:11<01:41, 12.12it/s, loss=0.1936, rank=0.0960, reg=0.0976]
eval epoch 1/1:  10%|▉         | 132/1361 [00:11<01:41, 12.12it/s, loss=0.1093, rank=0.0585, reg=0.0507]
eval epoch 1/1:  10%|▉         | 132/1361 [00:11<01:41, 12.12it/s, loss=0.0670, rank=0.0447, reg=0.0223]
eval epoch 1/1:  10%|▉         | 134/1361 [00:11<01:41, 12.07it/s, loss=0.0670, rank=0.0447, reg=0.0223]
eval epoch 1/1:  10%|▉         | 134/1361 [00:11<01:41, 12.07it/s, loss=0.0712, rank=0.0358, reg=0.0354]
eval epoch 1/1:  10%|▉         | 134/1361 [00:11<01:41, 12.07it/s, loss=0.1164, rank=0.0205, reg=0.0960]
eval epoch 1/1:  10%|▉         | 136/1361 [00:11<01:39, 12.26it/s, loss=0.1164, rank=0.0205, reg=0.0960]
eval epoch 1/1:  10%|▉         | 136/1361 [00:11<01:39, 12.26it/s, loss=0.0861, rank=0.0553, reg=0.0308]
eval epoch 1/1:  10%|▉         | 136/1361 [00:12<01:39, 12.26it/s, loss=0.0902, rank=0.0555, reg=0.0347]
eval epoch 1/1:  10%|█         | 138/1361 [00:12<01:39, 12.33it/s, loss=0.0902, rank=0.0555, reg=0.0347]
eval epoch 1/1:  10%|█         | 138/1361 [00:12<01:39, 12.33it/s, loss=0.1518, rank=0.0479, reg=0.1039]
eval epoch 1/1:  10%|█         | 138/1361 [00:12<01:39, 12.33it/s, loss=0.0912, rank=0.0585, reg=0.0327]
eval epoch 1/1:  10%|█         | 140/1361 [00:12<01:38, 12.42it/s, loss=0.0912, rank=0.0585, reg=0.0327]
eval epoch 1/1:  10%|█         | 140/1361 [00:12<01:38, 12.42it/s, loss=0.0962, rank=0.0659, reg=0.0303]
eval epoch 1/1:  10%|█         | 140/1361 [00:12<01:38, 12.42it/s, loss=0.1046, rank=0.0634, reg=0.0412]
eval epoch 1/1:  10%|█         | 142/1361 [00:12<01:37, 12.51it/s, loss=0.1046, rank=0.0634, reg=0.0412]
eval epoch 1/1:  10%|█         | 142/1361 [00:12<01:37, 12.51it/s, loss=0.0642, rank=0.0190, reg=0.0452]
eval epoch 1/1:  10%|█         | 142/1361 [00:12<01:37, 12.51it/s, loss=0.0393, rank=0.0294, reg=0.0099]
eval epoch 1/1:  11%|█         | 144/1361 [00:12<01:46, 11.48it/s, loss=0.0393, rank=0.0294, reg=0.0099]
eval epoch 1/1:  11%|█         | 144/1361 [00:12<01:46, 11.48it/s, loss=0.1273, rank=0.0450, reg=0.0822]
eval epoch 1/1:  11%|█         | 144/1361 [00:12<01:46, 11.48it/s, loss=0.0414, rank=0.0147, reg=0.0267]
eval epoch 1/1:  11%|█         | 146/1361 [00:12<01:45, 11.47it/s, loss=0.0414, rank=0.0147, reg=0.0267]
eval epoch 1/1:  11%|█         | 146/1361 [00:12<01:45, 11.47it/s, loss=0.0531, rank=0.0214, reg=0.0317]
eval epoch 1/1:  11%|█         | 146/1361 [00:12<01:45, 11.47it/s, loss=0.0879, rank=0.0475, reg=0.0404]
eval epoch 1/1:  11%|█         | 148/1361 [00:12<01:43, 11.78it/s, loss=0.0879, rank=0.0475, reg=0.0404]
eval epoch 1/1:  11%|█         | 148/1361 [00:12<01:43, 11.78it/s, loss=0.0955, rank=0.0576, reg=0.0379]
eval epoch 1/1:  11%|█         | 148/1361 [00:13<01:43, 11.78it/s, loss=0.0576, rank=0.0549, reg=0.0027]
eval epoch 1/1:  11%|█         | 150/1361 [00:13<01:39, 12.14it/s, loss=0.0576, rank=0.0549, reg=0.0027]
eval epoch 1/1:  11%|█         | 150/1361 [00:13<01:39, 12.14it/s, loss=0.0747, rank=0.0470, reg=0.0277]
eval epoch 1/1:  11%|█         | 150/1361 [00:13<01:39, 12.14it/s, loss=0.1052, rank=0.0763, reg=0.0289]
eval epoch 1/1:  11%|█         | 152/1361 [00:13<01:36, 12.55it/s, loss=0.1052, rank=0.0763, reg=0.0289]
eval epoch 1/1:  11%|█         | 152/1361 [00:13<01:36, 12.55it/s, loss=0.0934, rank=0.0501, reg=0.0433]
eval epoch 1/1:  11%|█         | 152/1361 [00:13<01:36, 12.55it/s, loss=0.1069, rank=0.0409, reg=0.0660]
eval epoch 1/1:  11%|█▏        | 154/1361 [00:13<01:36, 12.49it/s, loss=0.1069, rank=0.0409, reg=0.0660]
eval epoch 1/1:  11%|█▏        | 154/1361 [00:13<01:36, 12.49it/s, loss=0.0940, rank=0.0698, reg=0.0241]
eval epoch 1/1:  11%|█▏        | 154/1361 [00:13<01:36, 12.49it/s, loss=0.0614, rank=0.0261, reg=0.0353]
eval epoch 1/1:  11%|█▏        | 156/1361 [00:13<01:37, 12.35it/s, loss=0.0614, rank=0.0261, reg=0.0353]
eval epoch 1/1:  11%|█▏        | 156/1361 [00:13<01:37, 12.35it/s, loss=0.0423, rank=0.0348, reg=0.0075]
eval epoch 1/1:  11%|█▏        | 156/1361 [00:13<01:37, 12.35it/s, loss=0.0407, rank=0.0056, reg=0.0350]
eval epoch 1/1:  12%|█▏        | 158/1361 [00:13<01:37, 12.38it/s, loss=0.0407, rank=0.0056, reg=0.0350]
eval epoch 1/1:  12%|█▏        | 158/1361 [00:13<01:37, 12.38it/s, loss=0.0573, rank=0.0213, reg=0.0360]
eval epoch 1/1:  12%|█▏        | 158/1361 [00:13<01:37, 12.38it/s, loss=0.0348, rank=0.0111, reg=0.0237]
eval epoch 1/1:  12%|█▏        | 160/1361 [00:13<01:36, 12.44it/s, loss=0.0348, rank=0.0111, reg=0.0237]
eval epoch 1/1:  12%|█▏        | 160/1361 [00:13<01:36, 12.44it/s, loss=0.0536, rank=0.0468, reg=0.0068]
eval epoch 1/1:  12%|█▏        | 160/1361 [00:14<01:36, 12.44it/s, loss=0.0805, rank=0.0569, reg=0.0236]
eval epoch 1/1:  12%|█▏        | 162/1361 [00:14<01:37, 12.27it/s, loss=0.0805, rank=0.0569, reg=0.0236]
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eval epoch 1/1:  12%|█▏        | 164/1361 [00:14<01:38, 12.10it/s, loss=0.0563, rank=0.0327, reg=0.0237]
eval epoch 1/1:  12%|█▏        | 164/1361 [00:14<01:38, 12.10it/s, loss=0.0431, rank=0.0270, reg=0.0161]
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eval epoch 1/1:  12%|█▏        | 166/1361 [00:14<01:36, 12.36it/s, loss=0.0438, rank=0.0340, reg=0.0098]
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eval epoch 1/1:  12%|█▏        | 166/1361 [00:14<01:36, 12.36it/s, loss=0.0701, rank=0.0353, reg=0.0348]
eval epoch 1/1:  12%|█▏        | 168/1361 [00:14<01:34, 12.59it/s, loss=0.0701, rank=0.0353, reg=0.0348]
eval epoch 1/1:  12%|█▏        | 168/1361 [00:14<01:34, 12.59it/s, loss=0.0260, rank=0.0100, reg=0.0160]
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eval epoch 1/1:  12%|█▏        | 170/1361 [00:14<01:35, 12.47it/s, loss=0.0586, rank=0.0407, reg=0.0178]
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eval epoch 1/1:  12%|█▏        | 170/1361 [00:14<01:35, 12.47it/s, loss=0.0299, rank=0.0263, reg=0.0035]
eval epoch 1/1:  13%|█▎        | 172/1361 [00:14<01:33, 12.69it/s, loss=0.0299, rank=0.0263, reg=0.0035]
eval epoch 1/1:  13%|█▎        | 172/1361 [00:14<01:33, 12.69it/s, loss=0.0771, rank=0.0243, reg=0.0528]
eval epoch 1/1:  13%|█▎        | 172/1361 [00:14<01:33, 12.69it/s, loss=0.0755, rank=0.0525, reg=0.0230]
eval epoch 1/1:  13%|█▎        | 174/1361 [00:14<01:34, 12.53it/s, loss=0.0755, rank=0.0525, reg=0.0230]
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eval epoch 1/1:  13%|█▎        | 174/1361 [00:15<01:34, 12.53it/s, loss=0.1047, rank=0.0431, reg=0.0616]
eval epoch 1/1:  13%|█▎        | 176/1361 [00:15<01:36, 12.34it/s, loss=0.1047, rank=0.0431, reg=0.0616]
eval epoch 1/1:  13%|█▎        | 176/1361 [00:15<01:36, 12.34it/s, loss=0.0663, rank=0.0522, reg=0.0141]
eval epoch 1/1:  13%|█▎        | 176/1361 [00:15<01:36, 12.34it/s, loss=0.0352, rank=0.0274, reg=0.0077]
eval epoch 1/1:  13%|█▎        | 178/1361 [00:15<01:37, 12.19it/s, loss=0.0352, rank=0.0274, reg=0.0077]
eval epoch 1/1:  13%|█▎        | 178/1361 [00:15<01:37, 12.19it/s, loss=0.0697, rank=0.0655, reg=0.0042]
eval epoch 1/1:  13%|█▎        | 178/1361 [00:15<01:37, 12.19it/s, loss=0.0314, rank=0.0063, reg=0.0251]
eval epoch 1/1:  13%|█▎        | 180/1361 [00:15<01:36, 12.23it/s, loss=0.0314, rank=0.0063, reg=0.0251]
eval epoch 1/1:  13%|█▎        | 180/1361 [00:15<01:36, 12.23it/s, loss=0.0449, rank=0.0265, reg=0.0184]
eval epoch 1/1:  13%|█▎        | 180/1361 [00:15<01:36, 12.23it/s, loss=0.0471, rank=0.0399, reg=0.0072]
eval epoch 1/1:  13%|█▎        | 182/1361 [00:15<01:38, 11.99it/s, loss=0.0471, rank=0.0399, reg=0.0072]
eval epoch 1/1:  13%|█▎        | 182/1361 [00:15<01:38, 11.99it/s, loss=0.1010, rank=0.0727, reg=0.0283]
eval epoch 1/1:  13%|█▎        | 182/1361 [00:15<01:38, 11.99it/s, loss=0.0686, rank=0.0329, reg=0.0357]
eval epoch 1/1:  14%|█▎        | 184/1361 [00:15<01:36, 12.23it/s, loss=0.0686, rank=0.0329, reg=0.0357]
eval epoch 1/1:  14%|█▎        | 184/1361 [00:15<01:36, 12.23it/s, loss=0.1167, rank=0.0651, reg=0.0517]
eval epoch 1/1:  14%|█▎        | 184/1361 [00:15<01:36, 12.23it/s, loss=0.0400, rank=0.0343, reg=0.0057]
eval epoch 1/1:  14%|█▎        | 186/1361 [00:15<01:34, 12.48it/s, loss=0.0400, rank=0.0343, reg=0.0057]
eval epoch 1/1:  14%|█▎        | 186/1361 [00:16<01:34, 12.48it/s, loss=0.0606, rank=0.0316, reg=0.0290]
eval epoch 1/1:  14%|█▎        | 186/1361 [00:16<01:34, 12.48it/s, loss=0.0528, rank=0.0418, reg=0.0110]
eval epoch 1/1:  14%|█▍        | 188/1361 [00:16<01:55, 10.12it/s, loss=0.0528, rank=0.0418, reg=0.0110]
eval epoch 1/1:  14%|█▍        | 188/1361 [00:16<01:55, 10.12it/s, loss=0.0644, rank=0.0514, reg=0.0131]
eval epoch 1/1:  14%|█▍        | 188/1361 [00:16<01:55, 10.12it/s, loss=0.1500, rank=0.0769, reg=0.0731]
eval epoch 1/1:  14%|█▍        | 190/1361 [00:16<01:50, 10.64it/s, loss=0.1500, rank=0.0769, reg=0.0731]
eval epoch 1/1:  14%|█▍        | 190/1361 [00:16<01:50, 10.64it/s, loss=0.1371, rank=0.0772, reg=0.0598]
eval epoch 1/1:  14%|█▍        | 190/1361 [00:16<01:50, 10.64it/s, loss=0.0504, rank=0.0328, reg=0.0176]
eval epoch 1/1:  14%|█▍        | 192/1361 [00:16<01:43, 11.29it/s, loss=0.0504, rank=0.0328, reg=0.0176]
eval epoch 1/1:  14%|█▍        | 192/1361 [00:16<01:43, 11.29it/s, loss=0.0676, rank=0.0531, reg=0.0146]
eval epoch 1/1:  14%|█▍        | 192/1361 [00:16<01:43, 11.29it/s, loss=0.0574, rank=0.0459, reg=0.0114]
eval epoch 1/1:  14%|█▍        | 194/1361 [00:16<01:42, 11.41it/s, loss=0.0574, rank=0.0459, reg=0.0114]
eval epoch 1/1:  14%|█▍        | 194/1361 [00:16<01:42, 11.41it/s, loss=0.0970, rank=0.0601, reg=0.0369]
eval epoch 1/1:  14%|█▍        | 194/1361 [00:16<01:42, 11.41it/s, loss=0.0951, rank=0.0550, reg=0.0401]
eval epoch 1/1:  14%|█▍        | 196/1361 [00:16<01:39, 11.71it/s, loss=0.0951, rank=0.0550, reg=0.0401]
eval epoch 1/1:  14%|█▍        | 196/1361 [00:16<01:39, 11.71it/s, loss=0.0342, rank=0.0166, reg=0.0176]
eval epoch 1/1:  14%|█▍        | 196/1361 [00:17<01:39, 11.71it/s, loss=0.0897, rank=0.0700, reg=0.0196]
eval epoch 1/1:  15%|█▍        | 198/1361 [00:17<01:38, 11.76it/s, loss=0.0897, rank=0.0700, reg=0.0196]
eval epoch 1/1:  15%|█▍        | 198/1361 [00:17<01:38, 11.76it/s, loss=0.0784, rank=0.0512, reg=0.0272]
eval epoch 1/1:  15%|█▍        | 198/1361 [00:17<01:38, 11.76it/s, loss=0.0478, rank=0.0249, reg=0.0229]
eval epoch 1/1:  15%|█▍        | 200/1361 [00:17<01:38, 11.83it/s, loss=0.0478, rank=0.0249, reg=0.0229]
eval epoch 1/1:  15%|█▍        | 200/1361 [00:17<01:38, 11.83it/s, loss=0.0636, rank=0.0594, reg=0.0042]
eval epoch 1/1:  15%|█▍        | 200/1361 [00:17<01:38, 11.83it/s, loss=0.0477, rank=0.0381, reg=0.0095]
eval epoch 1/1:  15%|█▍        | 202/1361 [00:17<01:36, 11.96it/s, loss=0.0477, rank=0.0381, reg=0.0095]
eval epoch 1/1:  15%|█▍        | 202/1361 [00:17<01:36, 11.96it/s, loss=0.0568, rank=0.0506, reg=0.0063]
eval epoch 1/1:  15%|█▍        | 202/1361 [00:17<01:36, 11.96it/s, loss=0.0587, rank=0.0413, reg=0.0174]
eval epoch 1/1:  15%|█▍        | 204/1361 [00:17<01:34, 12.22it/s, loss=0.0587, rank=0.0413, reg=0.0174]
eval epoch 1/1:  15%|█▍        | 204/1361 [00:17<01:34, 12.22it/s, loss=0.0678, rank=0.0241, reg=0.0437]
eval epoch 1/1:  15%|█▍        | 204/1361 [00:17<01:34, 12.22it/s, loss=0.0611, rank=0.0347, reg=0.0264]
eval epoch 1/1:  15%|█▌        | 206/1361 [00:17<01:33, 12.29it/s, loss=0.0611, rank=0.0347, reg=0.0264]
eval epoch 1/1:  15%|█▌        | 206/1361 [00:17<01:33, 12.29it/s, loss=0.0664, rank=0.0276, reg=0.0388]
eval epoch 1/1:  15%|█▌        | 206/1361 [00:17<01:33, 12.29it/s, loss=0.0760, rank=0.0323, reg=0.0437]
eval epoch 1/1:  15%|█▌        | 208/1361 [00:17<01:32, 12.46it/s, loss=0.0760, rank=0.0323, reg=0.0437]
eval epoch 1/1:  15%|█▌        | 208/1361 [00:17<01:32, 12.46it/s, loss=0.0853, rank=0.0567, reg=0.0286]
eval epoch 1/1:  15%|█▌        | 208/1361 [00:18<01:32, 12.46it/s, loss=0.0446, rank=0.0218, reg=0.0228]
eval epoch 1/1:  15%|█▌        | 210/1361 [00:18<01:31, 12.60it/s, loss=0.0446, rank=0.0218, reg=0.0228]
eval epoch 1/1:  15%|█▌        | 210/1361 [00:18<01:31, 12.60it/s, loss=0.0765, rank=0.0472, reg=0.0293]
eval epoch 1/1:  15%|█▌        | 210/1361 [00:18<01:31, 12.60it/s, loss=0.0310, rank=0.0123, reg=0.0187]
eval epoch 1/1:  16%|█▌        | 212/1361 [00:18<01:31, 12.50it/s, loss=0.0310, rank=0.0123, reg=0.0187]
eval epoch 1/1:  16%|█▌        | 212/1361 [00:18<01:31, 12.50it/s, loss=0.0475, rank=0.0256, reg=0.0220]
eval epoch 1/1:  16%|█▌        | 212/1361 [00:18<01:31, 12.50it/s, loss=0.0574, rank=0.0405, reg=0.0168]
eval epoch 1/1:  16%|█▌        | 214/1361 [00:18<01:30, 12.74it/s, loss=0.0574, rank=0.0405, reg=0.0168]
eval epoch 1/1:  16%|█▌        | 214/1361 [00:18<01:30, 12.74it/s, loss=0.0626, rank=0.0249, reg=0.0377]
eval epoch 1/1:  16%|█▌        | 214/1361 [00:18<01:30, 12.74it/s, loss=0.0972, rank=0.0116, reg=0.0855]
eval epoch 1/1:  16%|█▌        | 216/1361 [00:18<01:31, 12.52it/s, loss=0.0972, rank=0.0116, reg=0.0855]
eval epoch 1/1:  16%|█▌        | 216/1361 [00:18<01:31, 12.52it/s, loss=0.0886, rank=0.0389, reg=0.0496]
eval epoch 1/1:  16%|█▌        | 216/1361 [00:18<01:31, 12.52it/s, loss=0.0961, rank=0.0453, reg=0.0508]
eval epoch 1/1:  16%|█▌        | 218/1361 [00:18<01:31, 12.48it/s, loss=0.0961, rank=0.0453, reg=0.0508]
eval epoch 1/1:  16%|█▌        | 218/1361 [00:18<01:31, 12.48it/s, loss=0.0810, rank=0.0424, reg=0.0385]
eval epoch 1/1:  16%|█▌        | 218/1361 [00:18<01:31, 12.48it/s, loss=0.0550, rank=0.0168, reg=0.0383]
eval epoch 1/1:  16%|█▌        | 220/1361 [00:18<01:31, 12.44it/s, loss=0.0550, rank=0.0168, reg=0.0383]
eval epoch 1/1:  16%|█▌        | 220/1361 [00:18<01:31, 12.44it/s, loss=0.0763, rank=0.0495, reg=0.0268]
eval epoch 1/1:  16%|█▌        | 220/1361 [00:18<01:31, 12.44it/s, loss=0.0828, rank=0.0429, reg=0.0399]
eval epoch 1/1:  16%|█▋        | 222/1361 [00:18<01:30, 12.62it/s, loss=0.0828, rank=0.0429, reg=0.0399]
eval epoch 1/1:  16%|█▋        | 222/1361 [00:19<01:30, 12.62it/s, loss=0.0336, rank=0.0221, reg=0.0115]
eval epoch 1/1:  16%|█▋        | 222/1361 [00:19<01:30, 12.62it/s, loss=0.0475, rank=0.0306, reg=0.0169]
eval epoch 1/1:  16%|█▋        | 224/1361 [00:19<01:30, 12.55it/s, loss=0.0475, rank=0.0306, reg=0.0169]
eval epoch 1/1:  16%|█▋        | 224/1361 [00:19<01:30, 12.55it/s, loss=0.0388, rank=0.0234, reg=0.0154]
eval epoch 1/1:  16%|█▋        | 224/1361 [00:19<01:30, 12.55it/s, loss=0.0614, rank=0.0349, reg=0.0265]
eval epoch 1/1:  17%|█▋        | 226/1361 [00:19<01:30, 12.49it/s, loss=0.0614, rank=0.0349, reg=0.0265]
eval epoch 1/1:  17%|█▋        | 226/1361 [00:19<01:30, 12.49it/s, loss=0.0587, rank=0.0371, reg=0.0216]
eval epoch 1/1:  17%|█▋        | 226/1361 [00:19<01:30, 12.49it/s, loss=0.0903, rank=0.0689, reg=0.0214]
eval epoch 1/1:  17%|█▋        | 228/1361 [00:19<01:28, 12.80it/s, loss=0.0903, rank=0.0689, reg=0.0214]
eval epoch 1/1:  17%|█▋        | 228/1361 [00:19<01:28, 12.80it/s, loss=0.0969, rank=0.0760, reg=0.0209]
eval epoch 1/1:  17%|█▋        | 228/1361 [00:19<01:28, 12.80it/s, loss=0.0513, rank=0.0319, reg=0.0194]
eval epoch 1/1:  17%|█▋        | 230/1361 [00:19<01:27, 12.90it/s, loss=0.0513, rank=0.0319, reg=0.0194]
eval epoch 1/1:  17%|█▋        | 230/1361 [00:19<01:27, 12.90it/s, loss=0.0359, rank=0.0334, reg=0.0025]
eval epoch 1/1:  17%|█▋        | 230/1361 [00:19<01:27, 12.90it/s, loss=0.0894, rank=0.0485, reg=0.0409]
eval epoch 1/1:  17%|█▋        | 232/1361 [00:19<01:26, 13.06it/s, loss=0.0894, rank=0.0485, reg=0.0409]
eval epoch 1/1:  17%|█▋        | 232/1361 [00:19<01:26, 13.06it/s, loss=0.0535, rank=0.0368, reg=0.0166]
eval epoch 1/1:  17%|█▋        | 232/1361 [00:19<01:26, 13.06it/s, loss=0.0802, rank=0.0641, reg=0.0160]
eval epoch 1/1:  17%|█▋        | 234/1361 [00:19<01:27, 12.89it/s, loss=0.0802, rank=0.0641, reg=0.0160]
eval epoch 1/1:  17%|█▋        | 234/1361 [00:20<01:27, 12.89it/s, loss=0.0483, rank=0.0351, reg=0.0133]
eval epoch 1/1:  17%|█▋        | 234/1361 [00:20<01:27, 12.89it/s, loss=0.0850, rank=0.0580, reg=0.0270]
eval epoch 1/1:  17%|█▋        | 236/1361 [00:20<01:28, 12.72it/s, loss=0.0850, rank=0.0580, reg=0.0270]
eval epoch 1/1:  17%|█▋        | 236/1361 [00:20<01:28, 12.72it/s, loss=0.0859, rank=0.0271, reg=0.0588]
eval epoch 1/1:  17%|█▋        | 236/1361 [00:20<01:28, 12.72it/s, loss=0.0594, rank=0.0080, reg=0.0514]
eval epoch 1/1:  17%|█▋        | 238/1361 [00:20<01:29, 12.50it/s, loss=0.0594, rank=0.0080, reg=0.0514]
eval epoch 1/1:  17%|█▋        | 238/1361 [00:20<01:29, 12.50it/s, loss=0.1050, rank=0.0883, reg=0.0166]
eval epoch 1/1:  17%|█▋        | 238/1361 [00:20<01:29, 12.50it/s, loss=0.0651, rank=0.0588, reg=0.0063]
eval epoch 1/1:  18%|█▊        | 240/1361 [00:20<01:28, 12.67it/s, loss=0.0651, rank=0.0588, reg=0.0063]
eval epoch 1/1:  18%|█▊        | 240/1361 [00:20<01:28, 12.67it/s, loss=0.1085, rank=0.0940, reg=0.0145]
eval epoch 1/1:  18%|█▊        | 240/1361 [00:20<01:28, 12.67it/s, loss=0.0383, rank=0.0263, reg=0.0120]
eval epoch 1/1:  18%|█▊        | 242/1361 [00:20<01:42, 10.97it/s, loss=0.0383, rank=0.0263, reg=0.0120]
eval epoch 1/1:  18%|█▊        | 242/1361 [00:20<01:42, 10.97it/s, loss=0.0394, rank=0.0003, reg=0.0391]
eval epoch 1/1:  18%|█▊        | 242/1361 [00:20<01:42, 10.97it/s, loss=0.1463, rank=0.1212, reg=0.0251]
eval epoch 1/1:  18%|█▊        | 244/1361 [00:20<01:38, 11.39it/s, loss=0.1463, rank=0.1212, reg=0.0251]
eval epoch 1/1:  18%|█▊        | 244/1361 [00:20<01:38, 11.39it/s, loss=0.0990, rank=0.0827, reg=0.0163]
eval epoch 1/1:  18%|█▊        | 244/1361 [00:20<01:38, 11.39it/s, loss=0.1570, rank=0.0993, reg=0.0577]
eval epoch 1/1:  18%|█▊        | 246/1361 [00:20<01:34, 11.85it/s, loss=0.1570, rank=0.0993, reg=0.0577]
eval epoch 1/1:  18%|█▊        | 246/1361 [00:21<01:34, 11.85it/s, loss=0.1266, rank=0.0603, reg=0.0663]
eval epoch 1/1:  18%|█▊        | 246/1361 [00:21<01:34, 11.85it/s, loss=0.1091, rank=0.0855, reg=0.0236]
eval epoch 1/1:  18%|█▊        | 248/1361 [00:21<01:33, 11.92it/s, loss=0.1091, rank=0.0855, reg=0.0236]
eval epoch 1/1:  18%|█▊        | 248/1361 [00:21<01:33, 11.92it/s, loss=0.0617, rank=0.0533, reg=0.0083]
eval epoch 1/1:  18%|█▊        | 248/1361 [00:21<01:33, 11.92it/s, loss=0.1730, rank=0.0604, reg=0.1125]
eval epoch 1/1:  18%|█▊        | 250/1361 [00:21<01:31, 12.20it/s, loss=0.1730, rank=0.0604, reg=0.1125]
eval epoch 1/1:  18%|█▊        | 250/1361 [00:21<01:31, 12.20it/s, loss=0.0539, rank=0.0358, reg=0.0181]
eval epoch 1/1:  18%|█▊        | 250/1361 [00:21<01:31, 12.20it/s, loss=0.0451, rank=0.0295, reg=0.0156]
eval epoch 1/1:  19%|█▊        | 252/1361 [00:21<01:28, 12.53it/s, loss=0.0451, rank=0.0295, reg=0.0156]
eval epoch 1/1:  19%|█▊        | 252/1361 [00:21<01:28, 12.53it/s, loss=0.0612, rank=0.0279, reg=0.0334]
eval epoch 1/1:  19%|█▊        | 252/1361 [00:21<01:28, 12.53it/s, loss=0.0642, rank=0.0194, reg=0.0448]
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eval epoch 1/1:  23%|██▎       | 314/1361 [00:27<03:41,  4.74it/s, loss=0.0379, rank=0.0264, reg=0.0115]
eval epoch 1/1:  23%|██▎       | 314/1361 [00:28<03:41,  4.74it/s, loss=0.1054, rank=0.0789, reg=0.0266]
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eval epoch 1/1:  23%|██▎       | 319/1361 [00:30<09:54,  1.75it/s, loss=0.0748, rank=0.0329, reg=0.0419]
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eval epoch 1/1:  25%|██▍       | 338/1361 [00:44<07:17,  2.34it/s, loss=0.0301, rank=0.0204, reg=0.0097]
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eval epoch 1/1:  25%|██▍       | 339/1361 [00:44<06:25,  2.65it/s, loss=0.0994, rank=0.0080, reg=0.0914]
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eval epoch 1/1:  25%|██▍       | 340/1361 [00:44<06:02,  2.81it/s, loss=0.0559, rank=0.0001, reg=0.0558]
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eval epoch 1/1:  25%|██▌       | 341/1361 [00:45<06:18,  2.69it/s, loss=0.0166, rank=0.0102, reg=0.0065]
eval epoch 1/1:  25%|██▌       | 341/1361 [00:45<06:18,  2.69it/s, loss=0.0219, rank=0.0036, reg=0.0182]
eval epoch 1/1:  25%|██▌       | 342/1361 [00:45<06:11,  2.74it/s, loss=0.0219, rank=0.0036, reg=0.0182]
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eval epoch 1/1:  25%|██▌       | 343/1361 [00:45<06:37,  2.56it/s, loss=0.0196, rank=0.0070, reg=0.0126]
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eval epoch 1/1:  25%|██▌       | 344/1361 [00:46<06:03,  2.80it/s, loss=0.0521, rank=0.0160, reg=0.0361]
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eval epoch 1/1:  25%|██▌       | 347/1361 [00:47<06:10,  2.74it/s, loss=0.0459, rank=0.0166, reg=0.0293]
eval epoch 1/1:  26%|██▌       | 348/1361 [00:47<06:37,  2.55it/s, loss=0.0459, rank=0.0166, reg=0.0293]
eval epoch 1/1:  26%|██▌       | 348/1361 [00:48<06:37,  2.55it/s, loss=0.0259, rank=0.0016, reg=0.0244]
eval epoch 1/1:  26%|██▌       | 349/1361 [00:48<06:19,  2.66it/s, loss=0.0259, rank=0.0016, reg=0.0244]
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eval epoch 1/1:  26%|██▌       | 350/1361 [00:48<06:12,  2.71it/s, loss=0.0345, rank=0.0082, reg=0.0263]
eval epoch 1/1:  26%|██▌       | 350/1361 [00:49<06:12,  2.71it/s, loss=0.1476, rank=0.0076, reg=0.1400]
eval epoch 1/1:  26%|██▌       | 351/1361 [00:49<07:00,  2.40it/s, loss=0.1476, rank=0.0076, reg=0.1400]
eval epoch 1/1:  26%|██▌       | 351/1361 [00:49<07:00,  2.40it/s, loss=0.0228, rank=0.0042, reg=0.0185]
eval epoch 1/1:  26%|██▌       | 352/1361 [00:49<08:01,  2.10it/s, loss=0.0228, rank=0.0042, reg=0.0185]
eval epoch 1/1:  26%|██▌       | 352/1361 [00:50<08:01,  2.10it/s, loss=0.0398, rank=0.0046, reg=0.0352]
eval epoch 1/1:  26%|██▌       | 353/1361 [00:50<07:55,  2.12it/s, loss=0.0398, rank=0.0046, reg=0.0352]
eval epoch 1/1:  26%|██▌       | 353/1361 [00:50<07:55,  2.12it/s, loss=0.0242, rank=0.0015, reg=0.0227]
eval epoch 1/1:  26%|██▌       | 354/1361 [00:50<08:28,  1.98it/s, loss=0.0242, rank=0.0015, reg=0.0227]
eval epoch 1/1:  26%|██▌       | 354/1361 [00:51<08:28,  1.98it/s, loss=0.0293, rank=0.0245, reg=0.0049]
eval epoch 1/1:  26%|██▌       | 355/1361 [00:51<08:48,  1.90it/s, loss=0.0293, rank=0.0245, reg=0.0049]
eval epoch 1/1:  26%|██▌       | 355/1361 [00:51<08:48,  1.90it/s, loss=0.0297, rank=0.0016, reg=0.0281]
eval epoch 1/1:  26%|██▌       | 356/1361 [00:51<09:18,  1.80it/s, loss=0.0297, rank=0.0016, reg=0.0281]
eval epoch 1/1:  26%|██▌       | 356/1361 [00:52<09:18,  1.80it/s, loss=0.0308, rank=0.0092, reg=0.0216]
eval epoch 1/1:  26%|██▌       | 357/1361 [00:52<08:10,  2.05it/s, loss=0.0308, rank=0.0092, reg=0.0216]
eval epoch 1/1:  26%|██▌       | 357/1361 [00:52<08:10,  2.05it/s, loss=0.1001, rank=0.0542, reg=0.0459]
eval epoch 1/1:  26%|██▋       | 358/1361 [00:52<07:32,  2.22it/s, loss=0.1001, rank=0.0542, reg=0.0459]
eval epoch 1/1:  26%|██▋       | 358/1361 [00:53<07:32,  2.22it/s, loss=0.0525, rank=0.0124, reg=0.0401]
eval epoch 1/1:  26%|██▋       | 359/1361 [00:53<07:58,  2.09it/s, loss=0.0525, rank=0.0124, reg=0.0401]
eval epoch 1/1:  26%|██▋       | 359/1361 [00:53<07:58,  2.09it/s, loss=0.0185, rank=0.0076, reg=0.0109]
eval epoch 1/1:  26%|██▋       | 360/1361 [00:53<06:54,  2.42it/s, loss=0.0185, rank=0.0076, reg=0.0109]
eval epoch 1/1:  26%|██▋       | 360/1361 [00:53<06:54,  2.42it/s, loss=0.0271, rank=0.0044, reg=0.0228]
eval epoch 1/1:  27%|██▋       | 361/1361 [00:53<06:42,  2.48it/s, loss=0.0271, rank=0.0044, reg=0.0228]
eval epoch 1/1:  27%|██▋       | 361/1361 [00:54<06:42,  2.48it/s, loss=0.0276, rank=0.0100, reg=0.0176]
eval epoch 1/1:  27%|██▋       | 362/1361 [00:54<06:06,  2.73it/s, loss=0.0276, rank=0.0100, reg=0.0176]
eval epoch 1/1:  27%|██▋       | 362/1361 [00:54<06:06,  2.73it/s, loss=0.1025, rank=0.0116, reg=0.0909]
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eval epoch 1/1:  27%|██▋       | 363/1361 [00:55<08:01,  2.07it/s, loss=0.0273, rank=0.0175, reg=0.0097]
eval epoch 1/1:  27%|██▋       | 364/1361 [00:55<09:29,  1.75it/s, loss=0.0273, rank=0.0175, reg=0.0097]
eval epoch 1/1:  27%|██▋       | 364/1361 [00:56<09:29,  1.75it/s, loss=0.0709, rank=0.0179, reg=0.0530]
eval epoch 1/1:  27%|██▋       | 365/1361 [00:56<10:34,  1.57it/s, loss=0.0709, rank=0.0179, reg=0.0530]
eval epoch 1/1:  27%|██▋       | 365/1361 [00:56<10:34,  1.57it/s, loss=0.0379, rank=0.0137, reg=0.0243]
eval epoch 1/1:  27%|██▋       | 366/1361 [00:56<09:50,  1.69it/s, loss=0.0379, rank=0.0137, reg=0.0243]
eval epoch 1/1:  27%|██▋       | 366/1361 [00:56<09:50,  1.69it/s, loss=0.0519, rank=0.0399, reg=0.0119]
eval epoch 1/1:  27%|██▋       | 366/1361 [00:57<09:50,  1.69it/s, loss=0.0793, rank=0.0741, reg=0.0052]
eval epoch 1/1:  27%|██▋       | 368/1361 [00:57<05:52,  2.82it/s, loss=0.0793, rank=0.0741, reg=0.0052]
eval epoch 1/1:  27%|██▋       | 368/1361 [00:57<05:52,  2.82it/s, loss=0.1167, rank=0.0821, reg=0.0346]
eval epoch 1/1:  27%|██▋       | 368/1361 [00:57<05:52,  2.82it/s, loss=0.0946, rank=0.0632, reg=0.0314]
eval epoch 1/1:  27%|██▋       | 370/1361 [00:57<04:00,  4.11it/s, loss=0.0946, rank=0.0632, reg=0.0314]
eval epoch 1/1:  27%|██▋       | 370/1361 [00:57<04:00,  4.11it/s, loss=0.1010, rank=0.0846, reg=0.0164]
eval epoch 1/1:  27%|██▋       | 370/1361 [00:57<04:00,  4.11it/s, loss=0.0730, rank=0.0489, reg=0.0241]
eval epoch 1/1:  27%|██▋       | 372/1361 [00:57<03:04,  5.37it/s, loss=0.0730, rank=0.0489, reg=0.0241]
eval epoch 1/1:  27%|██▋       | 372/1361 [00:57<03:04,  5.37it/s, loss=0.0923, rank=0.0670, reg=0.0253]
eval epoch 1/1:  27%|██▋       | 372/1361 [00:57<03:04,  5.37it/s, loss=0.0753, rank=0.0348, reg=0.0405]
eval epoch 1/1:  27%|██▋       | 374/1361 [00:57<02:28,  6.64it/s, loss=0.0753, rank=0.0348, reg=0.0405]
eval epoch 1/1:  27%|██▋       | 374/1361 [00:57<02:28,  6.64it/s, loss=0.0877, rank=0.0827, reg=0.0050]
eval epoch 1/1:  27%|██▋       | 374/1361 [00:57<02:28,  6.64it/s, loss=0.0553, rank=0.0493, reg=0.0060]
eval epoch 1/1:  28%|██▊       | 376/1361 [00:57<02:03,  7.95it/s, loss=0.0553, rank=0.0493, reg=0.0060]
eval epoch 1/1:  28%|██▊       | 376/1361 [00:57<02:03,  7.95it/s, loss=0.0764, rank=0.0705, reg=0.0060]
eval epoch 1/1:  28%|██▊       | 376/1361 [00:57<02:03,  7.95it/s, loss=0.0859, rank=0.0386, reg=0.0472]
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eval epoch 1/1:  28%|██▊       | 378/1361 [00:57<01:47,  9.11it/s, loss=0.0789, rank=0.0437, reg=0.0352]
eval epoch 1/1:  28%|██▊       | 380/1361 [00:57<01:36, 10.13it/s, loss=0.0789, rank=0.0437, reg=0.0352]
eval epoch 1/1:  28%|██▊       | 380/1361 [00:58<01:36, 10.13it/s, loss=0.0942, rank=0.0677, reg=0.0265]
eval epoch 1/1:  28%|██▊       | 380/1361 [00:58<01:36, 10.13it/s, loss=0.1277, rank=0.0687, reg=0.0590]
eval epoch 1/1:  28%|██▊       | 382/1361 [00:58<01:28, 11.04it/s, loss=0.1277, rank=0.0687, reg=0.0590]
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eval epoch 1/1:  28%|██▊       | 382/1361 [00:58<01:28, 11.04it/s, loss=0.0988, rank=0.0772, reg=0.0216]
eval epoch 1/1:  28%|██▊       | 384/1361 [00:58<01:25, 11.44it/s, loss=0.0988, rank=0.0772, reg=0.0216]
eval epoch 1/1:  28%|██▊       | 384/1361 [00:58<01:25, 11.44it/s, loss=0.0918, rank=0.0629, reg=0.0289]
eval epoch 1/1:  28%|██▊       | 384/1361 [00:58<01:25, 11.44it/s, loss=0.1239, rank=0.0646, reg=0.0593]
eval epoch 1/1:  28%|██▊       | 386/1361 [00:58<01:22, 11.82it/s, loss=0.1239, rank=0.0646, reg=0.0593]
eval epoch 1/1:  28%|██▊       | 386/1361 [00:58<01:22, 11.82it/s, loss=0.0883, rank=0.0528, reg=0.0355]
eval epoch 1/1:  28%|██▊       | 386/1361 [00:58<01:22, 11.82it/s, loss=0.1390, rank=0.0553, reg=0.0836]
eval epoch 1/1:  29%|██▊       | 388/1361 [00:58<01:19, 12.21it/s, loss=0.1390, rank=0.0553, reg=0.0836]
eval epoch 1/1:  29%|██▊       | 388/1361 [00:58<01:19, 12.21it/s, loss=0.0843, rank=0.0366, reg=0.0477]
eval epoch 1/1:  29%|██▊       | 388/1361 [00:58<01:19, 12.21it/s, loss=0.1660, rank=0.0760, reg=0.0900]
eval epoch 1/1:  29%|██▊       | 390/1361 [00:58<01:17, 12.47it/s, loss=0.1660, rank=0.0760, reg=0.0900]
eval epoch 1/1:  29%|██▊       | 390/1361 [00:58<01:17, 12.47it/s, loss=0.0723, rank=0.0526, reg=0.0196]
eval epoch 1/1:  29%|██▊       | 390/1361 [00:58<01:17, 12.47it/s, loss=0.0838, rank=0.0551, reg=0.0287]
eval epoch 1/1:  29%|██▉       | 392/1361 [00:58<01:17, 12.49it/s, loss=0.0838, rank=0.0551, reg=0.0287]
eval epoch 1/1:  29%|██▉       | 392/1361 [00:58<01:17, 12.49it/s, loss=0.1636, rank=0.0919, reg=0.0717]
eval epoch 1/1:  29%|██▉       | 392/1361 [00:59<01:17, 12.49it/s, loss=0.0745, rank=0.0601, reg=0.0144]
eval epoch 1/1:  29%|██▉       | 394/1361 [00:59<01:16, 12.63it/s, loss=0.0745, rank=0.0601, reg=0.0144]
eval epoch 1/1:  29%|██▉       | 394/1361 [00:59<01:16, 12.63it/s, loss=0.0852, rank=0.0673, reg=0.0179]
eval epoch 1/1:  29%|██▉       | 394/1361 [00:59<01:16, 12.63it/s, loss=0.1150, rank=0.0654, reg=0.0496]
eval epoch 1/1:  29%|██▉       | 396/1361 [00:59<01:15, 12.79it/s, loss=0.1150, rank=0.0654, reg=0.0496]
eval epoch 1/1:  29%|██▉       | 396/1361 [00:59<01:15, 12.79it/s, loss=0.2319, rank=0.0522, reg=0.1798]
eval epoch 1/1:  29%|██▉       | 396/1361 [00:59<01:15, 12.79it/s, loss=0.1268, rank=0.1158, reg=0.0109]
eval epoch 1/1:  29%|██▉       | 398/1361 [00:59<01:13, 13.12it/s, loss=0.1268, rank=0.1158, reg=0.0109]
eval epoch 1/1:  29%|██▉       | 398/1361 [00:59<01:13, 13.12it/s, loss=0.0690, rank=0.0217, reg=0.0472]
eval epoch 1/1:  29%|██▉       | 398/1361 [00:59<01:13, 13.12it/s, loss=0.0892, rank=0.0504, reg=0.0387]
eval epoch 1/1:  29%|██▉       | 400/1361 [00:59<01:12, 13.25it/s, loss=0.0892, rank=0.0504, reg=0.0387]
eval epoch 1/1:  29%|██▉       | 400/1361 [00:59<01:12, 13.25it/s, loss=0.0962, rank=0.0576, reg=0.0385]
eval epoch 1/1:  29%|██▉       | 400/1361 [00:59<01:12, 13.25it/s, loss=0.1181, rank=0.0780, reg=0.0401]
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eval epoch 1/1:  30%|██▉       | 402/1361 [00:59<01:11, 13.41it/s, loss=0.1429, rank=0.0978, reg=0.0451]
eval epoch 1/1:  30%|██▉       | 404/1361 [00:59<01:24, 11.29it/s, loss=0.1429, rank=0.0978, reg=0.0451]
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eval epoch 1/1:  30%|██▉       | 406/1361 [01:00<01:30, 10.55it/s, loss=0.0730, rank=0.0612, reg=0.0118]
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eval epoch 1/1:  30%|██▉       | 406/1361 [01:00<01:30, 10.55it/s, loss=0.0852, rank=0.0697, reg=0.0155]
eval epoch 1/1:  30%|██▉       | 408/1361 [01:00<01:32, 10.28it/s, loss=0.0852, rank=0.0697, reg=0.0155]
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eval epoch 1/1:  30%|██▉       | 408/1361 [01:00<01:32, 10.28it/s, loss=0.1058, rank=0.0847, reg=0.0210]
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eval epoch 1/1:  30%|███       | 410/1361 [01:00<01:35,  9.97it/s, loss=0.1201, rank=0.0951, reg=0.0250]
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eval epoch 1/1:  31%|███       | 416/1361 [01:01<03:26,  4.58it/s, loss=0.1192, rank=0.0884, reg=0.0308]
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eval epoch 1/1:  43%|████▎     | 584/1361 [01:34<01:47,  7.21it/s, loss=0.0641, rank=0.0569, reg=0.0072]
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eval epoch 1/1:  43%|████▎     | 589/1361 [01:34<01:48,  7.14it/s, loss=0.0506, rank=0.0409, reg=0.0097]
eval epoch 1/1:  43%|████▎     | 589/1361 [01:35<01:48,  7.14it/s, loss=0.1287, rank=0.1041, reg=0.0246]
eval epoch 1/1:  43%|████▎     | 590/1361 [01:35<01:56,  6.61it/s, loss=0.1287, rank=0.1041, reg=0.0246]
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eval epoch 1/1:  44%|████▎     | 593/1361 [01:35<01:47,  7.17it/s, loss=0.0569, rank=0.0488, reg=0.0081]
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eval epoch 1/1:  44%|████▍     | 597/1361 [01:36<01:41,  7.52it/s, loss=0.0650, rank=0.0487, reg=0.0163]
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eval epoch 1/1:  44%|████▍     | 602/1361 [01:36<01:29,  8.51it/s, loss=0.1092, rank=0.1007, reg=0.0085]
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eval epoch 1/1:  44%|████▍     | 603/1361 [01:36<01:26,  8.76it/s, loss=0.0666, rank=0.0612, reg=0.0054]
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eval epoch 1/1:  44%|████▍     | 604/1361 [01:36<01:26,  8.75it/s, loss=0.1189, rank=0.1158, reg=0.0032]
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eval epoch 1/1:  44%|████▍     | 605/1361 [01:37<01:40,  7.50it/s, loss=0.0475, rank=0.0423, reg=0.0052]
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eval epoch 1/1:  45%|████▍     | 606/1361 [01:37<01:41,  7.46it/s, loss=0.0709, rank=0.0510, reg=0.0199]
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eval epoch 1/1:  45%|████▍     | 612/1361 [01:37<01:25,  8.74it/s, loss=0.0555, rank=0.0494, reg=0.0061]
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eval epoch 1/1:  45%|████▌     | 613/1361 [01:37<01:24,  8.89it/s, loss=0.0941, rank=0.0841, reg=0.0100]
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eval epoch 1/1:  45%|████▌     | 614/1361 [01:38<01:24,  8.83it/s, loss=0.0332, rank=0.0298, reg=0.0035]
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eval epoch 1/1:  45%|████▌     | 614/1361 [01:38<01:24,  8.83it/s, loss=0.0386, rank=0.0329, reg=0.0057]
eval epoch 1/1:  45%|████▌     | 616/1361 [01:38<01:16,  9.77it/s, loss=0.0386, rank=0.0329, reg=0.0057]
eval epoch 1/1:  45%|████▌     | 616/1361 [01:38<01:16,  9.77it/s, loss=0.1236, rank=0.1064, reg=0.0173]
eval epoch 1/1:  45%|████▌     | 617/1361 [01:38<01:20,  9.24it/s, loss=0.1236, rank=0.1064, reg=0.0173]
eval epoch 1/1:  45%|████▌     | 617/1361 [01:38<01:20,  9.24it/s, loss=0.1038, rank=0.0791, reg=0.0247]
eval epoch 1/1:  45%|████▌     | 617/1361 [01:38<01:20,  9.24it/s, loss=0.0887, rank=0.0850, reg=0.0037]
eval epoch 1/1:  45%|████▌     | 619/1361 [01:38<01:09, 10.65it/s, loss=0.0887, rank=0.0850, reg=0.0037]
eval epoch 1/1:  45%|████▌     | 619/1361 [01:38<01:09, 10.65it/s, loss=0.1446, rank=0.1241, reg=0.0205]
eval epoch 1/1:  45%|████▌     | 619/1361 [01:38<01:09, 10.65it/s, loss=0.1139, rank=0.1035, reg=0.0105]
eval epoch 1/1:  46%|████▌     | 621/1361 [01:38<01:03, 11.68it/s, loss=0.1139, rank=0.1035, reg=0.0105]
eval epoch 1/1:  46%|████▌     | 621/1361 [01:38<01:03, 11.68it/s, loss=0.1122, rank=0.1067, reg=0.0054]
eval epoch 1/1:  46%|████▌     | 621/1361 [01:38<01:03, 11.68it/s, loss=0.0952, rank=0.0829, reg=0.0123]
eval epoch 1/1:  46%|████▌     | 623/1361 [01:38<01:01, 12.09it/s, loss=0.0952, rank=0.0829, reg=0.0123]
eval epoch 1/1:  46%|████▌     | 623/1361 [01:38<01:01, 12.09it/s, loss=0.1972, rank=0.1921, reg=0.0051]
eval epoch 1/1:  46%|████▌     | 623/1361 [01:38<01:01, 12.09it/s, loss=0.0851, rank=0.0784, reg=0.0067]
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eval epoch 1/1:  46%|████▌     | 625/1361 [01:39<00:59, 12.42it/s, loss=0.1225, rank=0.1140, reg=0.0086]
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eval epoch 1/1:  46%|████▌     | 627/1361 [01:39<01:04, 11.41it/s, loss=0.0675, rank=0.0476, reg=0.0199]
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eval epoch 1/1:  46%|████▌     | 629/1361 [01:39<01:01, 11.94it/s, loss=0.0753, rank=0.0568, reg=0.0185]
eval epoch 1/1:  46%|████▋     | 631/1361 [01:39<01:03, 11.52it/s, loss=0.0753, rank=0.0568, reg=0.0185]
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eval epoch 1/1:  46%|████▋     | 631/1361 [01:39<01:03, 11.52it/s, loss=0.1163, rank=0.1109, reg=0.0055]
eval epoch 1/1:  47%|████▋     | 633/1361 [01:39<01:02, 11.61it/s, loss=0.1163, rank=0.1109, reg=0.0055]
eval epoch 1/1:  47%|████▋     | 633/1361 [01:39<01:02, 11.61it/s, loss=0.0894, rank=0.0826, reg=0.0068]
eval epoch 1/1:  47%|████▋     | 633/1361 [01:39<01:02, 11.61it/s, loss=0.0610, rank=0.0519, reg=0.0091]
eval epoch 1/1:  47%|████▋     | 635/1361 [01:39<01:04, 11.18it/s, loss=0.0610, rank=0.0519, reg=0.0091]
eval epoch 1/1:  47%|████▋     | 635/1361 [01:40<01:04, 11.18it/s, loss=0.0355, rank=0.0337, reg=0.0017]
eval epoch 1/1:  47%|████▋     | 635/1361 [01:40<01:04, 11.18it/s, loss=0.0805, rank=0.0646, reg=0.0159]
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eval epoch 1/1:  47%|████▋     | 637/1361 [01:40<01:13,  9.80it/s, loss=0.0430, rank=0.0348, reg=0.0081]
eval epoch 1/1:  47%|████▋     | 639/1361 [01:40<01:12,  9.99it/s, loss=0.0430, rank=0.0348, reg=0.0081]
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eval epoch 1/1:  47%|████▋     | 639/1361 [01:40<01:12,  9.99it/s, loss=0.0790, rank=0.0690, reg=0.0101]
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eval epoch 1/1:  48%|████▊     | 655/1361 [01:41<00:56, 12.52it/s, loss=0.0775, rank=0.0747, reg=0.0029]
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eval epoch 1/1:  49%|████▊     | 661/1361 [01:42<01:04, 10.81it/s, loss=0.0935, rank=0.0824, reg=0.0111]
eval epoch 1/1:  49%|████▊     | 663/1361 [01:42<01:00, 11.56it/s, loss=0.0935, rank=0.0824, reg=0.0111]
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eval epoch 1/1:  50%|█████     | 685/1361 [01:44<00:54, 12.42it/s, loss=0.1244, rank=0.1198, reg=0.0046]
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eval epoch 1/1:  51%|█████     | 693/1361 [01:45<01:03, 10.59it/s, loss=0.1198, rank=0.0931, reg=0.0267]
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eval epoch 1/1:  51%|█████     | 695/1361 [01:45<00:58, 11.38it/s, loss=0.1250, rank=0.1178, reg=0.0072]
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eval epoch 1/1:  52%|█████▏    | 703/1361 [01:45<00:58, 11.16it/s, loss=0.0747, rank=0.0729, reg=0.0018]
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eval epoch 1/1:  52%|█████▏    | 703/1361 [01:45<00:58, 11.16it/s, loss=0.0983, rank=0.0921, reg=0.0063]
eval epoch 1/1:  52%|█████▏    | 705/1361 [01:45<00:56, 11.63it/s, loss=0.0983, rank=0.0921, reg=0.0063]
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eval epoch 1/1:  52%|█████▏    | 705/1361 [01:46<00:56, 11.63it/s, loss=0.0735, rank=0.0666, reg=0.0070]
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eval epoch 1/1:  52%|█████▏    | 709/1361 [01:46<00:55, 11.82it/s, loss=0.0728, rank=0.0643, reg=0.0086]
eval epoch 1/1:  52%|█████▏    | 709/1361 [01:46<00:55, 11.82it/s, loss=0.1191, rank=0.1154, reg=0.0037]
eval epoch 1/1:  52%|█████▏    | 709/1361 [01:46<00:55, 11.82it/s, loss=0.0404, rank=0.0276, reg=0.0129]
eval epoch 1/1:  52%|█████▏    | 711/1361 [01:46<00:53, 12.09it/s, loss=0.0404, rank=0.0276, reg=0.0129]
eval epoch 1/1:  52%|█████▏    | 711/1361 [01:46<00:53, 12.09it/s, loss=0.0905, rank=0.0850, reg=0.0055]
eval epoch 1/1:  52%|█████▏    | 711/1361 [01:46<00:53, 12.09it/s, loss=0.0266, rank=0.0228, reg=0.0037]
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eval epoch 1/1:  57%|█████▋    | 771/1361 [01:57<01:57,  5.01it/s, loss=0.0869, rank=0.0833, reg=0.0036]
eval epoch 1/1:  57%|█████▋    | 772/1361 [01:57<01:52,  5.26it/s, loss=0.0869, rank=0.0833, reg=0.0036]
eval epoch 1/1:  57%|█████▋    | 772/1361 [01:57<01:52,  5.26it/s, loss=0.0149, rank=0.0084, reg=0.0065]
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eval epoch 1/1:  57%|█████▋    | 773/1361 [01:57<01:49,  5.35it/s, loss=0.0412, rank=0.0235, reg=0.0177]
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eval epoch 1/1:  57%|█████▋    | 774/1361 [01:58<01:56,  5.04it/s, loss=0.0383, rank=0.0307, reg=0.0076]
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eval epoch 1/1:  57%|█████▋    | 775/1361 [01:58<01:49,  5.35it/s, loss=0.0269, rank=0.0236, reg=0.0034]
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eval epoch 1/1:  57%|█████▋    | 776/1361 [01:58<01:46,  5.52it/s, loss=0.0666, rank=0.0605, reg=0.0060]
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eval epoch 1/1:  57%|█████▋    | 777/1361 [01:58<01:38,  5.96it/s, loss=0.0323, rank=0.0238, reg=0.0085]
eval epoch 1/1:  57%|█████▋    | 778/1361 [01:58<01:39,  5.85it/s, loss=0.0323, rank=0.0238, reg=0.0085]
eval epoch 1/1:  57%|█████▋    | 778/1361 [01:58<01:39,  5.85it/s, loss=0.0790, rank=0.0510, reg=0.0280]
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eval epoch 1/1:  57%|█████▋    | 779/1361 [01:58<01:44,  5.58it/s, loss=0.0551, rank=0.0425, reg=0.0126]
eval epoch 1/1:  57%|█████▋    | 780/1361 [01:58<01:44,  5.55it/s, loss=0.0551, rank=0.0425, reg=0.0126]
eval epoch 1/1:  57%|█████▋    | 780/1361 [01:59<01:44,  5.55it/s, loss=0.0550, rank=0.0462, reg=0.0088]
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eval epoch 1/1:  57%|█████▋    | 781/1361 [01:59<01:42,  5.67it/s, loss=0.0501, rank=0.0120, reg=0.0381]
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eval epoch 1/1:  58%|█████▊    | 783/1361 [01:59<01:47,  5.39it/s, loss=0.0463, rank=0.0423, reg=0.0040]
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eval epoch 1/1:  58%|█████▊    | 784/1361 [01:59<01:52,  5.13it/s, loss=0.0635, rank=0.0475, reg=0.0160]
eval epoch 1/1:  58%|█████▊    | 785/1361 [01:59<01:45,  5.48it/s, loss=0.0635, rank=0.0475, reg=0.0160]
eval epoch 1/1:  58%|█████▊    | 785/1361 [01:59<01:45,  5.48it/s, loss=0.0582, rank=0.0519, reg=0.0063]
eval epoch 1/1:  58%|█████▊    | 786/1361 [01:59<01:37,  5.91it/s, loss=0.0582, rank=0.0519, reg=0.0063]
eval epoch 1/1:  58%|█████▊    | 786/1361 [02:00<01:37,  5.91it/s, loss=0.0370, rank=0.0280, reg=0.0090]
eval epoch 1/1:  58%|█████▊    | 787/1361 [02:00<01:40,  5.70it/s, loss=0.0370, rank=0.0280, reg=0.0090]
eval epoch 1/1:  58%|█████▊    | 787/1361 [02:00<01:40,  5.70it/s, loss=0.1016, rank=0.0936, reg=0.0080]
eval epoch 1/1:  58%|█████▊    | 788/1361 [02:00<01:36,  5.95it/s, loss=0.1016, rank=0.0936, reg=0.0080]
eval epoch 1/1:  58%|█████▊    | 788/1361 [02:00<01:36,  5.95it/s, loss=0.0614, rank=0.0507, reg=0.0107]
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eval epoch 1/1:  58%|█████▊    | 789/1361 [02:00<01:42,  5.60it/s, loss=0.0624, rank=0.0391, reg=0.0233]
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eval epoch 1/1:  58%|█████▊    | 790/1361 [02:00<01:53,  5.05it/s, loss=0.0810, rank=0.0513, reg=0.0297]
eval epoch 1/1:  58%|█████▊    | 791/1361 [02:00<01:49,  5.21it/s, loss=0.0810, rank=0.0513, reg=0.0297]
eval epoch 1/1:  58%|█████▊    | 791/1361 [02:01<01:49,  5.21it/s, loss=0.0492, rank=0.0461, reg=0.0031]
eval epoch 1/1:  58%|█████▊    | 792/1361 [02:01<01:48,  5.27it/s, loss=0.0492, rank=0.0461, reg=0.0031]
eval epoch 1/1:  58%|█████▊    | 792/1361 [02:01<01:48,  5.27it/s, loss=0.0552, rank=0.0406, reg=0.0146]
eval epoch 1/1:  58%|█████▊    | 793/1361 [02:01<01:45,  5.40it/s, loss=0.0552, rank=0.0406, reg=0.0146]
eval epoch 1/1:  58%|█████▊    | 793/1361 [02:01<01:45,  5.40it/s, loss=0.0476, rank=0.0444, reg=0.0032]
eval epoch 1/1:  58%|█████▊    | 794/1361 [02:01<01:32,  6.11it/s, loss=0.0476, rank=0.0444, reg=0.0032]
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eval epoch 1/1:  59%|█████▉    | 803/1361 [02:02<00:58,  9.53it/s, loss=0.0257, rank=0.0240, reg=0.0018]
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eval epoch 1/1:  59%|█████▉    | 804/1361 [02:02<01:01,  9.03it/s, loss=0.0992, rank=0.0831, reg=0.0162]
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eval epoch 1/1:  60%|█████▉    | 810/1361 [02:03<01:16,  7.20it/s, loss=0.0488, rank=0.0378, reg=0.0111]
eval epoch 1/1:  60%|█████▉    | 810/1361 [02:03<01:16,  7.20it/s, loss=0.0658, rank=0.0622, reg=0.0036]
eval epoch 1/1:  60%|█████▉    | 811/1361 [02:03<01:16,  7.15it/s, loss=0.0658, rank=0.0622, reg=0.0036]
eval epoch 1/1:  60%|█████▉    | 811/1361 [02:03<01:16,  7.15it/s, loss=0.0656, rank=0.0580, reg=0.0076]
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eval epoch 1/1:  63%|██████▎   | 856/1361 [02:11<01:33,  5.43it/s, loss=0.0605, rank=0.0520, reg=0.0085]
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eval epoch 1/1:  65%|██████▍   | 881/1361 [02:18<01:57,  4.08it/s, loss=0.0896, rank=0.0767, reg=0.0129]
eval epoch 1/1:  65%|██████▍   | 881/1361 [02:19<01:57,  4.08it/s, loss=0.0674, rank=0.0425, reg=0.0250]
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eval epoch 1/1:  66%|██████▌   | 892/1361 [02:21<01:53,  4.14it/s, loss=0.0418, rank=0.0383, reg=0.0036]
eval epoch 1/1:  66%|██████▌   | 892/1361 [02:22<01:53,  4.14it/s, loss=0.0583, rank=0.0464, reg=0.0119]
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eval epoch 1/1:  66%|██████▌   | 895/1361 [02:22<01:58,  3.94it/s, loss=0.0462, rank=0.0324, reg=0.0138]
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eval epoch 1/1:  66%|██████▌   | 898/1361 [02:23<02:31,  3.06it/s, loss=0.1113, rank=0.0763, reg=0.0350]
eval epoch 1/1:  66%|██████▌   | 898/1361 [02:23<02:31,  3.06it/s, loss=0.0668, rank=0.0536, reg=0.0132]
eval epoch 1/1:  66%|██████▌   | 899/1361 [02:23<02:38,  2.91it/s, loss=0.0668, rank=0.0536, reg=0.0132]
eval epoch 1/1:  66%|██████▌   | 899/1361 [02:24<02:38,  2.91it/s, loss=0.0615, rank=0.0476, reg=0.0139]
eval epoch 1/1:  66%|██████▌   | 900/1361 [02:24<03:12,  2.40it/s, loss=0.0615, rank=0.0476, reg=0.0139]
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eval epoch 1/1:  66%|██████▌   | 901/1361 [02:24<02:52,  2.67it/s, loss=0.0220, rank=0.0162, reg=0.0057]
eval epoch 1/1:  66%|██████▌   | 901/1361 [02:25<02:52,  2.67it/s, loss=0.0422, rank=0.0284, reg=0.0138]
eval epoch 1/1:  66%|██████▋   | 902/1361 [02:25<02:33,  2.99it/s, loss=0.0422, rank=0.0284, reg=0.0138]
eval epoch 1/1:  66%|██████▋   | 902/1361 [02:25<02:33,  2.99it/s, loss=0.0480, rank=0.0435, reg=0.0044]
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eval epoch 1/1:  66%|██████▋   | 903/1361 [02:25<02:09,  3.55it/s, loss=0.0231, rank=0.0184, reg=0.0048]
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eval epoch 1/1:  66%|██████▋   | 905/1361 [02:25<01:55,  3.95it/s, loss=0.1092, rank=0.0990, reg=0.0102]
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eval epoch 1/1:  67%|██████▋   | 906/1361 [02:26<01:54,  3.98it/s, loss=0.0760, rank=0.0380, reg=0.0380]
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eval epoch 1/1:  67%|██████▋   | 907/1361 [02:26<01:49,  4.13it/s, loss=0.0525, rank=0.0205, reg=0.0320]
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eval epoch 1/1:  67%|██████▋   | 908/1361 [02:26<01:54,  3.95it/s, loss=0.1119, rank=0.0594, reg=0.0525]
eval epoch 1/1:  67%|██████▋   | 909/1361 [02:26<01:43,  4.38it/s, loss=0.1119, rank=0.0594, reg=0.0525]
eval epoch 1/1:  67%|██████▋   | 909/1361 [02:26<01:43,  4.38it/s, loss=0.1470, rank=0.0775, reg=0.0696]
eval epoch 1/1:  67%|██████▋   | 910/1361 [02:26<01:40,  4.47it/s, loss=0.1470, rank=0.0775, reg=0.0696]
eval epoch 1/1:  67%|██████▋   | 910/1361 [02:27<01:40,  4.47it/s, loss=0.1055, rank=0.0398, reg=0.0658]
eval epoch 1/1:  67%|██████▋   | 911/1361 [02:27<01:39,  4.54it/s, loss=0.1055, rank=0.0398, reg=0.0658]
eval epoch 1/1:  67%|██████▋   | 911/1361 [02:27<01:39,  4.54it/s, loss=0.0694, rank=0.0431, reg=0.0263]
eval epoch 1/1:  67%|██████▋   | 912/1361 [02:27<01:31,  4.91it/s, loss=0.0694, rank=0.0431, reg=0.0263]
eval epoch 1/1:  67%|██████▋   | 912/1361 [02:27<01:31,  4.91it/s, loss=0.0999, rank=0.0582, reg=0.0416]
eval epoch 1/1:  67%|██████▋   | 913/1361 [02:27<01:35,  4.69it/s, loss=0.0999, rank=0.0582, reg=0.0416]
eval epoch 1/1:  67%|██████▋   | 913/1361 [02:27<01:35,  4.69it/s, loss=0.1085, rank=0.0783, reg=0.0302]
eval epoch 1/1:  67%|██████▋   | 914/1361 [02:27<01:28,  5.02it/s, loss=0.1085, rank=0.0783, reg=0.0302]
eval epoch 1/1:  67%|██████▋   | 914/1361 [02:27<01:28,  5.02it/s, loss=0.1339, rank=0.0986, reg=0.0353]
eval epoch 1/1:  67%|██████▋   | 915/1361 [02:27<01:28,  5.05it/s, loss=0.1339, rank=0.0986, reg=0.0353]
eval epoch 1/1:  67%|██████▋   | 915/1361 [02:28<01:28,  5.05it/s, loss=0.1109, rank=0.0486, reg=0.0623]
eval epoch 1/1:  67%|██████▋   | 916/1361 [02:28<01:42,  4.34it/s, loss=0.1109, rank=0.0486, reg=0.0623]
eval epoch 1/1:  67%|██████▋   | 916/1361 [02:28<01:42,  4.34it/s, loss=0.0782, rank=0.0114, reg=0.0667]
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eval epoch 1/1:  67%|██████▋   | 917/1361 [02:28<01:48,  4.08it/s, loss=0.0767, rank=0.0371, reg=0.0396]
eval epoch 1/1:  67%|██████▋   | 918/1361 [02:28<01:47,  4.12it/s, loss=0.0767, rank=0.0371, reg=0.0396]
eval epoch 1/1:  67%|██████▋   | 918/1361 [02:28<01:47,  4.12it/s, loss=0.1257, rank=0.0524, reg=0.0732]
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eval epoch 1/1:  68%|██████▊   | 919/1361 [02:29<01:52,  3.92it/s, loss=0.1325, rank=0.1103, reg=0.0222]
eval epoch 1/1:  68%|██████▊   | 920/1361 [02:29<01:54,  3.86it/s, loss=0.1325, rank=0.1103, reg=0.0222]
eval epoch 1/1:  68%|██████▊   | 920/1361 [02:29<01:54,  3.86it/s, loss=0.1736, rank=0.1512, reg=0.0224]
eval epoch 1/1:  68%|██████▊   | 921/1361 [02:29<01:36,  4.57it/s, loss=0.1736, rank=0.1512, reg=0.0224]
eval epoch 1/1:  68%|██████▊   | 921/1361 [02:29<01:36,  4.57it/s, loss=0.1074, rank=0.0821, reg=0.0252]
eval epoch 1/1:  68%|██████▊   | 922/1361 [02:29<01:31,  4.81it/s, loss=0.1074, rank=0.0821, reg=0.0252]
eval epoch 1/1:  68%|██████▊   | 922/1361 [02:30<01:31,  4.81it/s, loss=0.1243, rank=0.0450, reg=0.0793]
eval epoch 1/1:  68%|██████▊   | 923/1361 [02:30<02:12,  3.31it/s, loss=0.1243, rank=0.0450, reg=0.0793]
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eval epoch 1/1:  68%|██████▊   | 924/1361 [02:30<02:05,  3.49it/s, loss=0.1321, rank=0.0272, reg=0.1048]
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eval epoch 1/1:  68%|██████▊   | 927/1361 [02:31<01:41,  4.26it/s, loss=0.1685, rank=0.0622, reg=0.1063]
eval epoch 1/1:  68%|██████▊   | 928/1361 [02:31<01:26,  5.02it/s, loss=0.1685, rank=0.0622, reg=0.1063]
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eval epoch 1/1:  68%|██████▊   | 928/1361 [02:31<01:26,  5.02it/s, loss=0.1014, rank=0.0431, reg=0.0584]
eval epoch 1/1:  68%|██████▊   | 930/1361 [02:31<01:03,  6.82it/s, loss=0.1014, rank=0.0431, reg=0.0584]
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eval epoch 1/1:  68%|██████▊   | 930/1361 [02:31<01:03,  6.82it/s, loss=0.0611, rank=0.0192, reg=0.0419]
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eval epoch 1/1:  69%|██████▉   | 940/1361 [02:32<00:53,  7.88it/s, loss=0.2306, rank=0.0222, reg=0.2084]
eval epoch 1/1:  69%|██████▉   | 941/1361 [02:32<00:51,  8.10it/s, loss=0.2306, rank=0.0222, reg=0.2084]
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eval epoch 1/1:  69%|██████▉   | 942/1361 [02:32<00:50,  8.34it/s, loss=0.1144, rank=0.0000, reg=0.1144]
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eval epoch 1/1:  72%|███████▏  | 984/1361 [02:36<00:39,  9.47it/s, loss=0.0851, rank=0.0419, reg=0.0431]
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eval epoch 1/1:  72%|███████▏  | 986/1361 [02:37<00:36, 10.28it/s, loss=0.1048, rank=0.0708, reg=0.0340]
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eval epoch 1/1:  72%|███████▏  | 986/1361 [02:37<00:36, 10.28it/s, loss=0.0888, rank=0.0593, reg=0.0295]
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eval epoch 1/1:  73%|███████▎  | 988/1361 [02:37<00:34, 10.91it/s, loss=0.0826, rank=0.0740, reg=0.0086]
eval epoch 1/1:  73%|███████▎  | 990/1361 [02:37<00:35, 10.50it/s, loss=0.0826, rank=0.0740, reg=0.0086]
eval epoch 1/1:  73%|███████▎  | 990/1361 [02:37<00:35, 10.50it/s, loss=0.1118, rank=0.0642, reg=0.0475]
eval epoch 1/1:  73%|███████▎  | 990/1361 [02:37<00:35, 10.50it/s, loss=0.0378, rank=0.0251, reg=0.0127]
eval epoch 1/1:  73%|███████▎  | 992/1361 [02:37<00:32, 11.33it/s, loss=0.0378, rank=0.0251, reg=0.0127]
eval epoch 1/1:  73%|███████▎  | 992/1361 [02:37<00:32, 11.33it/s, loss=0.0762, rank=0.0449, reg=0.0313]
eval epoch 1/1:  73%|███████▎  | 992/1361 [02:37<00:32, 11.33it/s, loss=0.1959, rank=0.1483, reg=0.0476]
eval epoch 1/1:  73%|███████▎  | 994/1361 [02:37<00:31, 11.70it/s, loss=0.1959, rank=0.1483, reg=0.0476]
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eval epoch 1/1:  73%|███████▎  | 996/1361 [02:37<00:31, 11.67it/s, loss=0.0730, rank=0.0273, reg=0.0457]
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eval epoch 1/1:  74%|███████▎  | 1002/1361 [02:38<00:31, 11.25it/s, loss=0.0505, rank=0.0243, reg=0.0262]
eval epoch 1/1:  74%|███████▎  | 1002/1361 [02:38<00:31, 11.25it/s, loss=0.0608, rank=0.0355, reg=0.0252]
eval epoch 1/1:  74%|███████▎  | 1002/1361 [02:38<00:31, 11.25it/s, loss=0.0449, rank=0.0288, reg=0.0161]
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eval epoch 1/1:  74%|███████▍  | 1004/1361 [02:38<00:31, 11.42it/s, loss=0.0636, rank=0.0519, reg=0.0117]
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eval epoch 1/1:  74%|███████▍  | 1008/1361 [02:39<00:28, 12.17it/s, loss=0.0827, rank=0.0705, reg=0.0122]
eval epoch 1/1:  74%|███████▍  | 1010/1361 [02:39<00:28, 12.45it/s, loss=0.0827, rank=0.0705, reg=0.0122]
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eval epoch 1/1:  74%|███████▍  | 1010/1361 [02:39<00:28, 12.45it/s, loss=0.0732, rank=0.0465, reg=0.0267]
eval epoch 1/1:  74%|███████▍  | 1012/1361 [02:39<00:28, 12.21it/s, loss=0.0732, rank=0.0465, reg=0.0267]
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eval epoch 1/1:  78%|███████▊  | 1062/1361 [02:43<00:23, 12.58it/s, loss=0.0439, rank=0.0205, reg=0.0235]
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eval epoch 1/1:  79%|███████▊  | 1070/1361 [02:44<00:24, 11.69it/s, loss=0.0493, rank=0.0294, reg=0.0199]
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eval epoch 1/1:  79%|███████▉  | 1072/1361 [02:44<00:24, 11.87it/s, loss=0.0429, rank=0.0147, reg=0.0282]
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eval epoch 1/1:  79%|███████▉  | 1072/1361 [02:44<00:24, 11.87it/s, loss=0.0576, rank=0.0475, reg=0.0101]
eval epoch 1/1:  79%|███████▉  | 1074/1361 [02:44<00:23, 12.16it/s, loss=0.0576, rank=0.0475, reg=0.0101]
eval epoch 1/1:  79%|███████▉  | 1074/1361 [02:44<00:23, 12.16it/s, loss=0.0822, rank=0.0576, reg=0.0245]
eval epoch 1/1:  79%|███████▉  | 1074/1361 [02:44<00:23, 12.16it/s, loss=0.0700, rank=0.0549, reg=0.0151]
eval epoch 1/1:  79%|███████▉  | 1076/1361 [02:44<00:22, 12.45it/s, loss=0.0700, rank=0.0549, reg=0.0151]
eval epoch 1/1:  79%|███████▉  | 1076/1361 [02:44<00:22, 12.45it/s, loss=0.0672, rank=0.0470, reg=0.0202]
eval epoch 1/1:  79%|███████▉  | 1076/1361 [02:44<00:22, 12.45it/s, loss=0.1200, rank=0.0763, reg=0.0437]
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eval epoch 1/1:  79%|███████▉  | 1078/1361 [02:44<00:22, 12.85it/s, loss=0.0604, rank=0.0501, reg=0.0102]
eval epoch 1/1:  79%|███████▉  | 1078/1361 [02:44<00:22, 12.85it/s, loss=0.0798, rank=0.0409, reg=0.0389]
eval epoch 1/1:  79%|███████▉  | 1080/1361 [02:44<00:21, 12.84it/s, loss=0.0798, rank=0.0409, reg=0.0389]
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eval epoch 1/1:  79%|███████▉  | 1080/1361 [02:44<00:21, 12.84it/s, loss=0.0521, rank=0.0261, reg=0.0260]
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eval epoch 1/1:  80%|███████▉  | 1088/1361 [02:45<00:21, 12.70it/s, loss=0.0482, rank=0.0327, reg=0.0155]
eval epoch 1/1:  80%|████████  | 1090/1361 [02:45<00:21, 12.53it/s, loss=0.0482, rank=0.0327, reg=0.0155]
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eval epoch 1/1:  81%|████████  | 1096/1361 [02:46<00:20, 12.98it/s, loss=0.0723, rank=0.0263, reg=0.0460]
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eval epoch 1/1:  81%|████████  | 1098/1361 [02:46<00:19, 13.30it/s, loss=0.1112, rank=0.0525, reg=0.0586]
eval epoch 1/1:  81%|████████  | 1100/1361 [02:46<00:19, 13.22it/s, loss=0.1112, rank=0.0525, reg=0.0586]
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eval epoch 1/1:  82%|████████▏ | 1122/1361 [02:48<00:19, 12.27it/s, loss=0.0852, rank=0.0550, reg=0.0302]
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eval epoch 1/1:  83%|████████▎ | 1124/1361 [02:48<00:19, 12.32it/s, loss=0.1081, rank=0.0700, reg=0.0381]
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eval epoch 1/1:  83%|████████▎ | 1126/1361 [02:48<00:18, 12.41it/s, loss=0.0376, rank=0.0249, reg=0.0127]
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eval epoch 1/1:  83%|████████▎ | 1128/1361 [02:48<00:18, 12.54it/s, loss=0.0504, rank=0.0381, reg=0.0123]
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eval epoch 1/1:  83%|████████▎ | 1130/1361 [02:48<00:17, 12.88it/s, loss=0.0745, rank=0.0413, reg=0.0332]
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eval epoch 1/1:  83%|████████▎ | 1132/1361 [02:48<00:17, 13.00it/s, loss=0.0567, rank=0.0347, reg=0.0219]
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eval epoch 1/1:  83%|████████▎ | 1134/1361 [02:49<00:17, 13.29it/s, loss=0.0760, rank=0.0323, reg=0.0436]
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eval epoch 1/1:  83%|████████▎ | 1136/1361 [02:49<00:16, 13.31it/s, loss=0.0345, rank=0.0218, reg=0.0127]
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eval epoch 1/1:  84%|████████▎ | 1138/1361 [02:49<00:16, 13.26it/s, loss=0.0289, rank=0.0123, reg=0.0166]
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eval epoch 1/1:  84%|████████▎ | 1138/1361 [02:49<00:16, 13.26it/s, loss=0.0694, rank=0.0405, reg=0.0289]
eval epoch 1/1:  84%|████████▍ | 1140/1361 [02:49<00:16, 13.49it/s, loss=0.0694, rank=0.0405, reg=0.0289]
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eval epoch 1/1:  84%|████████▍ | 1140/1361 [02:49<00:16, 13.49it/s, loss=0.0457, rank=0.0116, reg=0.0341]
eval epoch 1/1:  84%|████████▍ | 1142/1361 [02:49<00:16, 13.40it/s, loss=0.0457, rank=0.0116, reg=0.0341]
eval epoch 1/1:  84%|████████▍ | 1142/1361 [02:49<00:16, 13.40it/s, loss=0.0716, rank=0.0389, reg=0.0327]
eval epoch 1/1:  84%|████████▍ | 1142/1361 [02:49<00:16, 13.40it/s, loss=0.0896, rank=0.0453, reg=0.0443]
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eval epoch 1/1:  84%|████████▍ | 1144/1361 [02:49<00:16, 13.31it/s, loss=0.0762, rank=0.0424, reg=0.0337]
eval epoch 1/1:  84%|████████▍ | 1144/1361 [02:50<00:16, 13.31it/s, loss=0.0284, rank=0.0168, reg=0.0116]
eval epoch 1/1:  84%|████████▍ | 1146/1361 [02:50<00:16, 13.28it/s, loss=0.0284, rank=0.0168, reg=0.0116]
eval epoch 1/1:  84%|████████▍ | 1146/1361 [02:50<00:16, 13.28it/s, loss=0.0837, rank=0.0495, reg=0.0342]
eval epoch 1/1:  84%|████████▍ | 1146/1361 [02:50<00:16, 13.28it/s, loss=0.0564, rank=0.0429, reg=0.0135]
eval epoch 1/1:  84%|████████▍ | 1148/1361 [02:50<00:15, 13.45it/s, loss=0.0564, rank=0.0429, reg=0.0135]
eval epoch 1/1:  84%|████████▍ | 1148/1361 [02:50<00:15, 13.45it/s, loss=0.0709, rank=0.0221, reg=0.0488]
eval epoch 1/1:  84%|████████▍ | 1148/1361 [02:50<00:15, 13.45it/s, loss=0.0764, rank=0.0306, reg=0.0458]
eval epoch 1/1:  84%|████████▍ | 1150/1361 [02:50<00:15, 13.38it/s, loss=0.0764, rank=0.0306, reg=0.0458]
eval epoch 1/1:  84%|████████▍ | 1150/1361 [02:50<00:15, 13.38it/s, loss=0.0475, rank=0.0234, reg=0.0241]
eval epoch 1/1:  84%|████████▍ | 1150/1361 [02:50<00:15, 13.38it/s, loss=0.1685, rank=0.0349, reg=0.1336]
eval epoch 1/1:  85%|████████▍ | 1152/1361 [02:50<00:16, 12.47it/s, loss=0.1685, rank=0.0349, reg=0.1336]
eval epoch 1/1:  85%|████████▍ | 1152/1361 [02:50<00:16, 12.47it/s, loss=0.0745, rank=0.0371, reg=0.0374]
eval epoch 1/1:  85%|████████▍ | 1152/1361 [02:50<00:16, 12.47it/s, loss=0.2899, rank=0.0689, reg=0.2210]
eval epoch 1/1:  85%|████████▍ | 1154/1361 [02:50<00:17, 11.99it/s, loss=0.2899, rank=0.0689, reg=0.2210]
eval epoch 1/1:  85%|████████▍ | 1154/1361 [02:50<00:17, 11.99it/s, loss=0.1896, rank=0.0760, reg=0.1136]
eval epoch 1/1:  85%|████████▍ | 1154/1361 [02:50<00:17, 11.99it/s, loss=0.1690, rank=0.0319, reg=0.1371]
eval epoch 1/1:  85%|████████▍ | 1156/1361 [02:50<00:17, 11.44it/s, loss=0.1690, rank=0.0319, reg=0.1371]
eval epoch 1/1:  85%|████████▍ | 1156/1361 [02:50<00:17, 11.44it/s, loss=0.1682, rank=0.0334, reg=0.1348]
eval epoch 1/1:  85%|████████▍ | 1156/1361 [02:51<00:17, 11.44it/s, loss=0.2777, rank=0.0485, reg=0.2292]
eval epoch 1/1:  85%|████████▌ | 1158/1361 [02:51<00:17, 11.66it/s, loss=0.2777, rank=0.0485, reg=0.2292]
eval epoch 1/1:  85%|████████▌ | 1158/1361 [02:51<00:17, 11.66it/s, loss=0.0801, rank=0.0368, reg=0.0433]
eval epoch 1/1:  85%|████████▌ | 1158/1361 [02:51<00:17, 11.66it/s, loss=0.1139, rank=0.0641, reg=0.0498]
eval epoch 1/1:  85%|████████▌ | 1160/1361 [02:51<00:18, 11.07it/s, loss=0.1139, rank=0.0641, reg=0.0498]
eval epoch 1/1:  85%|████████▌ | 1160/1361 [02:51<00:18, 11.07it/s, loss=0.0836, rank=0.0351, reg=0.0485]
eval epoch 1/1:  85%|████████▌ | 1160/1361 [02:51<00:18, 11.07it/s, loss=0.1178, rank=0.0580, reg=0.0598]
eval epoch 1/1:  85%|████████▌ | 1162/1361 [02:51<00:19, 10.41it/s, loss=0.1178, rank=0.0580, reg=0.0598]
eval epoch 1/1:  85%|████████▌ | 1162/1361 [02:51<00:19, 10.41it/s, loss=0.0440, rank=0.0271, reg=0.0170]
eval epoch 1/1:  85%|████████▌ | 1162/1361 [02:51<00:19, 10.41it/s, loss=0.0441, rank=0.0080, reg=0.0361]
eval epoch 1/1:  86%|████████▌ | 1164/1361 [02:51<00:20,  9.77it/s, loss=0.0441, rank=0.0080, reg=0.0361]
eval epoch 1/1:  86%|████████▌ | 1164/1361 [02:51<00:20,  9.77it/s, loss=0.0975, rank=0.0883, reg=0.0091]
eval epoch 1/1:  86%|████████▌ | 1165/1361 [02:51<00:20,  9.67it/s, loss=0.0975, rank=0.0883, reg=0.0091]
eval epoch 1/1:  86%|████████▌ | 1165/1361 [02:51<00:20,  9.67it/s, loss=0.0890, rank=0.0588, reg=0.0302]
eval epoch 1/1:  86%|████████▌ | 1166/1361 [02:51<00:20,  9.66it/s, loss=0.0890, rank=0.0588, reg=0.0302]
eval epoch 1/1:  86%|████████▌ | 1166/1361 [02:52<00:20,  9.66it/s, loss=0.2019, rank=0.0940, reg=0.1080]
eval epoch 1/1:  86%|████████▌ | 1167/1361 [02:52<00:20,  9.49it/s, loss=0.2019, rank=0.0940, reg=0.1080]
eval epoch 1/1:  86%|████████▌ | 1167/1361 [02:52<00:20,  9.49it/s, loss=0.0781, rank=0.0263, reg=0.0518]
eval epoch 1/1:  86%|████████▌ | 1168/1361 [02:52<00:23,  8.04it/s, loss=0.0781, rank=0.0263, reg=0.0518]
eval epoch 1/1:  86%|████████▌ | 1168/1361 [02:52<00:23,  8.04it/s, loss=0.0809, rank=0.0003, reg=0.0806]
eval epoch 1/1:  86%|████████▌ | 1169/1361 [02:52<00:23,  8.33it/s, loss=0.0809, rank=0.0003, reg=0.0806]
eval epoch 1/1:  86%|████████▌ | 1169/1361 [02:52<00:23,  8.33it/s, loss=0.1488, rank=0.1212, reg=0.0276]
eval epoch 1/1:  86%|████████▌ | 1170/1361 [02:52<00:22,  8.55it/s, loss=0.1488, rank=0.1212, reg=0.0276]
eval epoch 1/1:  86%|████████▌ | 1170/1361 [02:52<00:22,  8.55it/s, loss=0.1697, rank=0.0827, reg=0.0870]
eval epoch 1/1:  86%|████████▌ | 1171/1361 [02:52<00:21,  8.73it/s, loss=0.1697, rank=0.0827, reg=0.0870]
eval epoch 1/1:  86%|████████▌ | 1171/1361 [02:52<00:21,  8.73it/s, loss=0.1136, rank=0.0993, reg=0.0143]
eval epoch 1/1:  86%|████████▌ | 1172/1361 [02:52<00:21,  8.79it/s, loss=0.1136, rank=0.0993, reg=0.0143]
eval epoch 1/1:  86%|████████▌ | 1172/1361 [02:52<00:21,  8.79it/s, loss=0.1111, rank=0.0603, reg=0.0508]
eval epoch 1/1:  86%|████████▌ | 1173/1361 [02:52<00:21,  8.91it/s, loss=0.1111, rank=0.0603, reg=0.0508]
eval epoch 1/1:  86%|████████▌ | 1173/1361 [02:52<00:21,  8.91it/s, loss=0.1048, rank=0.0855, reg=0.0194]
eval epoch 1/1:  86%|████████▋ | 1174/1361 [02:52<00:21,  8.85it/s, loss=0.1048, rank=0.0855, reg=0.0194]
eval epoch 1/1:  86%|████████▋ | 1174/1361 [02:52<00:21,  8.85it/s, loss=0.0925, rank=0.0533, reg=0.0392]
eval epoch 1/1:  86%|████████▋ | 1175/1361 [02:52<00:20,  8.88it/s, loss=0.0925, rank=0.0533, reg=0.0392]
eval epoch 1/1:  86%|████████▋ | 1175/1361 [02:53<00:20,  8.88it/s, loss=0.1063, rank=0.0604, reg=0.0458]
eval epoch 1/1:  86%|████████▋ | 1176/1361 [02:53<00:20,  9.10it/s, loss=0.1063, rank=0.0604, reg=0.0458]
eval epoch 1/1:  86%|████████▋ | 1176/1361 [02:53<00:20,  9.10it/s, loss=0.0625, rank=0.0358, reg=0.0267]
eval epoch 1/1:  86%|████████▋ | 1177/1361 [02:53<00:19,  9.22it/s, loss=0.0625, rank=0.0358, reg=0.0267]
eval epoch 1/1:  86%|████████▋ | 1177/1361 [02:53<00:19,  9.22it/s, loss=0.0594, rank=0.0295, reg=0.0299]
eval epoch 1/1:  87%|████████▋ | 1178/1361 [02:53<00:19,  9.35it/s, loss=0.0594, rank=0.0295, reg=0.0299]
eval epoch 1/1:  87%|████████▋ | 1178/1361 [02:53<00:19,  9.35it/s, loss=0.0606, rank=0.0279, reg=0.0328]
eval epoch 1/1:  87%|████████▋ | 1179/1361 [02:53<00:19,  9.44it/s, loss=0.0606, rank=0.0279, reg=0.0328]
eval epoch 1/1:  87%|████████▋ | 1179/1361 [02:53<00:19,  9.44it/s, loss=0.0349, rank=0.0194, reg=0.0155]
eval epoch 1/1:  87%|████████▋ | 1180/1361 [02:53<00:21,  8.59it/s, loss=0.0349, rank=0.0194, reg=0.0155]
eval epoch 1/1:  87%|████████▋ | 1180/1361 [02:53<00:21,  8.59it/s, loss=0.1956, rank=0.0314, reg=0.1642]
eval epoch 1/1:  87%|████████▋ | 1181/1361 [02:53<00:20,  8.71it/s, loss=0.1956, rank=0.0314, reg=0.1642]
eval epoch 1/1:  87%|████████▋ | 1181/1361 [02:53<00:20,  8.71it/s, loss=0.0919, rank=0.0440, reg=0.0480]
eval epoch 1/1:  87%|████████▋ | 1182/1361 [02:53<00:22,  7.89it/s, loss=0.0919, rank=0.0440, reg=0.0480]
eval epoch 1/1:  87%|████████▋ | 1182/1361 [02:53<00:22,  7.89it/s, loss=0.0499, rank=0.0332, reg=0.0167]
eval epoch 1/1:  87%|████████▋ | 1183/1361 [02:53<00:21,  8.16it/s, loss=0.0499, rank=0.0332, reg=0.0167]
eval epoch 1/1:  87%|████████▋ | 1183/1361 [02:54<00:21,  8.16it/s, loss=0.0457, rank=0.0255, reg=0.0202]
eval epoch 1/1:  87%|████████▋ | 1184/1361 [02:54<00:21,  8.31it/s, loss=0.0457, rank=0.0255, reg=0.0202]
eval epoch 1/1:  87%|████████▋ | 1184/1361 [02:54<00:21,  8.31it/s, loss=0.1150, rank=0.0907, reg=0.0243]
eval epoch 1/1:  87%|████████▋ | 1185/1361 [02:54<00:20,  8.55it/s, loss=0.1150, rank=0.0907, reg=0.0243]
eval epoch 1/1:  87%|████████▋ | 1185/1361 [02:54<00:20,  8.55it/s, loss=0.1024, rank=0.0629, reg=0.0396]
eval epoch 1/1:  87%|████████▋ | 1186/1361 [02:54<00:20,  8.66it/s, loss=0.1024, rank=0.0629, reg=0.0396]
eval epoch 1/1:  87%|████████▋ | 1186/1361 [02:54<00:20,  8.66it/s, loss=0.1742, rank=0.0666, reg=0.1077]
eval epoch 1/1:  87%|████████▋ | 1187/1361 [02:54<00:19,  8.85it/s, loss=0.1742, rank=0.0666, reg=0.1077]
eval epoch 1/1:  87%|████████▋ | 1187/1361 [02:54<00:19,  8.85it/s, loss=0.0710, rank=0.0474, reg=0.0236]
eval epoch 1/1:  87%|████████▋ | 1188/1361 [02:54<00:19,  9.01it/s, loss=0.0710, rank=0.0474, reg=0.0236]
eval epoch 1/1:  87%|████████▋ | 1188/1361 [02:54<00:19,  9.01it/s, loss=0.1761, rank=0.0466, reg=0.1295]
eval epoch 1/1:  87%|████████▋ | 1189/1361 [02:54<00:19,  9.04it/s, loss=0.1761, rank=0.0466, reg=0.1295]
eval epoch 1/1:  87%|████████▋ | 1189/1361 [02:54<00:19,  9.04it/s, loss=0.1088, rank=0.0551, reg=0.0537]
eval epoch 1/1:  87%|████████▋ | 1190/1361 [02:54<00:18,  9.14it/s, loss=0.1088, rank=0.0551, reg=0.0537]
eval epoch 1/1:  87%|████████▋ | 1190/1361 [02:54<00:18,  9.14it/s, loss=0.0689, rank=0.0347, reg=0.0342]
eval epoch 1/1:  88%|████████▊ | 1191/1361 [02:54<00:18,  9.14it/s, loss=0.0689, rank=0.0347, reg=0.0342]
eval epoch 1/1:  88%|████████▊ | 1191/1361 [02:54<00:18,  9.14it/s, loss=0.1123, rank=0.0575, reg=0.0547]
eval epoch 1/1:  88%|████████▊ | 1192/1361 [02:54<00:18,  9.21it/s, loss=0.1123, rank=0.0575, reg=0.0547]
eval epoch 1/1:  88%|████████▊ | 1192/1361 [02:55<00:18,  9.21it/s, loss=0.0535, rank=0.0361, reg=0.0174]
eval epoch 1/1:  88%|████████▊ | 1193/1361 [02:55<00:18,  9.08it/s, loss=0.0535, rank=0.0361, reg=0.0174]
eval epoch 1/1:  88%|████████▊ | 1193/1361 [02:55<00:18,  9.08it/s, loss=0.0744, rank=0.0389, reg=0.0356]
eval epoch 1/1:  88%|████████▊ | 1194/1361 [02:55<00:18,  8.79it/s, loss=0.0744, rank=0.0389, reg=0.0356]
eval epoch 1/1:  88%|████████▊ | 1194/1361 [02:55<00:18,  8.79it/s, loss=0.1806, rank=0.0611, reg=0.1195]
eval epoch 1/1:  88%|████████▊ | 1195/1361 [02:55<00:19,  8.73it/s, loss=0.1806, rank=0.0611, reg=0.1195]
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eval epoch 1/1:  88%|████████▊ | 1196/1361 [02:55<00:29,  5.56it/s, loss=0.2525, rank=0.1592, reg=0.0933]
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eval epoch 1/1:  88%|████████▊ | 1197/1361 [02:55<00:27,  5.99it/s, loss=0.0911, rank=0.0327, reg=0.0584]
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eval epoch 1/1:  88%|████████▊ | 1198/1361 [02:55<00:26,  6.20it/s, loss=0.0895, rank=0.0546, reg=0.0349]
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eval epoch 1/1:  88%|████████▊ | 1199/1361 [02:56<00:27,  5.84it/s, loss=0.0583, rank=0.0394, reg=0.0190]
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eval epoch 1/1:  88%|████████▊ | 1200/1361 [02:56<00:30,  5.26it/s, loss=0.1695, rank=0.0670, reg=0.1025]
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eval epoch 1/1:  88%|████████▊ | 1202/1361 [02:56<00:25,  6.23it/s, loss=0.1051, rank=0.0630, reg=0.0421]
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eval epoch 1/1:  89%|████████▉ | 1209/1361 [02:57<00:21,  7.17it/s, loss=0.0856, rank=0.0528, reg=0.0327]
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eval epoch 1/1:  89%|████████▉ | 1210/1361 [02:57<00:19,  7.58it/s, loss=0.1207, rank=0.0454, reg=0.0752]
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eval epoch 1/1:  89%|████████▉ | 1211/1361 [02:57<00:19,  7.51it/s, loss=0.1519, rank=0.0998, reg=0.0521]
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eval epoch 1/1:  89%|████████▉ | 1212/1361 [02:57<00:19,  7.70it/s, loss=0.1566, rank=0.0360, reg=0.1206]
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eval epoch 1/1:  89%|████████▉ | 1218/1361 [02:58<00:17,  8.24it/s, loss=0.0927, rank=0.0614, reg=0.0313]
eval epoch 1/1:  90%|████████▉ | 1219/1361 [02:58<00:19,  7.39it/s, loss=0.0927, rank=0.0614, reg=0.0313]
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eval epoch 1/1:  90%|████████▉ | 1219/1361 [02:59<00:19,  7.39it/s, loss=0.0640, rank=0.0159, reg=0.0481]
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eval epoch 1/1:  90%|████████▉ | 1223/1361 [02:59<00:15,  8.63it/s, loss=0.0926, rank=0.0434, reg=0.0492]
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eval epoch 1/1:  90%|████████▉ | 1224/1361 [02:59<00:16,  8.09it/s, loss=0.0819, rank=0.0492, reg=0.0328]
eval epoch 1/1:  90%|█████████ | 1225/1361 [02:59<00:17,  7.96it/s, loss=0.0819, rank=0.0492, reg=0.0328]
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eval epoch 1/1:  90%|█████████ | 1226/1361 [02:59<00:17,  7.64it/s, loss=0.0905, rank=0.0580, reg=0.0325]
eval epoch 1/1:  90%|█████████ | 1226/1361 [02:59<00:17,  7.64it/s, loss=0.0694, rank=0.0591, reg=0.0103]
eval epoch 1/1:  90%|█████████ | 1227/1361 [02:59<00:16,  8.12it/s, loss=0.0694, rank=0.0591, reg=0.0103]
eval epoch 1/1:  90%|█████████ | 1227/1361 [02:59<00:16,  8.12it/s, loss=0.1541, rank=0.0550, reg=0.0991]
eval epoch 1/1:  90%|█████████ | 1228/1361 [02:59<00:16,  8.01it/s, loss=0.1541, rank=0.0550, reg=0.0991]
eval epoch 1/1:  90%|█████████ | 1228/1361 [03:00<00:16,  8.01it/s, loss=0.2036, rank=0.0848, reg=0.1187]
eval epoch 1/1:  90%|█████████ | 1229/1361 [03:00<00:18,  7.30it/s, loss=0.2036, rank=0.0848, reg=0.1187]
eval epoch 1/1:  90%|█████████ | 1229/1361 [03:00<00:18,  7.30it/s, loss=0.1242, rank=0.0641, reg=0.0601]
eval epoch 1/1:  90%|█████████ | 1230/1361 [03:00<00:20,  6.46it/s, loss=0.1242, rank=0.0641, reg=0.0601]
eval epoch 1/1:  90%|█████████ | 1230/1361 [03:00<00:20,  6.46it/s, loss=0.1244, rank=0.0630, reg=0.0614]
eval epoch 1/1:  90%|█████████ | 1231/1361 [03:00<00:18,  6.90it/s, loss=0.1244, rank=0.0630, reg=0.0614]
eval epoch 1/1:  90%|█████████ | 1231/1361 [03:00<00:18,  6.90it/s, loss=0.3329, rank=0.0897, reg=0.2432]
eval epoch 1/1:  91%|█████████ | 1232/1361 [03:00<00:18,  7.15it/s, loss=0.3329, rank=0.0897, reg=0.2432]
eval epoch 1/1:  91%|█████████ | 1232/1361 [03:00<00:18,  7.15it/s, loss=0.2091, rank=0.0751, reg=0.1340]
eval epoch 1/1:  91%|█████████ | 1233/1361 [03:00<00:18,  7.01it/s, loss=0.2091, rank=0.0751, reg=0.1340]
eval epoch 1/1:  91%|█████████ | 1233/1361 [03:00<00:18,  7.01it/s, loss=0.2108, rank=0.0644, reg=0.1464]
eval epoch 1/1:  91%|█████████ | 1234/1361 [03:00<00:17,  7.08it/s, loss=0.2108, rank=0.0644, reg=0.1464]
eval epoch 1/1:  91%|█████████ | 1234/1361 [03:00<00:17,  7.08it/s, loss=0.2181, rank=0.1101, reg=0.1080]
eval epoch 1/1:  91%|█████████ | 1235/1361 [03:00<00:18,  6.89it/s, loss=0.2181, rank=0.1101, reg=0.1080]
eval epoch 1/1:  91%|█████████ | 1235/1361 [03:01<00:18,  6.89it/s, loss=0.1157, rank=0.0736, reg=0.0420]
eval epoch 1/1:  91%|█████████ | 1236/1361 [03:01<00:17,  7.08it/s, loss=0.1157, rank=0.0736, reg=0.0420]
eval epoch 1/1:  91%|█████████ | 1236/1361 [03:01<00:17,  7.08it/s, loss=0.2827, rank=0.0971, reg=0.1857]
eval epoch 1/1:  91%|█████████ | 1237/1361 [03:01<00:16,  7.30it/s, loss=0.2827, rank=0.0971, reg=0.1857]
eval epoch 1/1:  91%|█████████ | 1237/1361 [03:01<00:16,  7.30it/s, loss=0.1602, rank=0.0330, reg=0.1272]
eval epoch 1/1:  91%|█████████ | 1238/1361 [03:01<00:19,  6.21it/s, loss=0.1602, rank=0.0330, reg=0.1272]
eval epoch 1/1:  91%|█████████ | 1238/1361 [03:01<00:19,  6.21it/s, loss=0.0549, rank=0.0098, reg=0.0451]
eval epoch 1/1:  91%|█████████ | 1239/1361 [03:01<00:24,  5.05it/s, loss=0.0549, rank=0.0098, reg=0.0451]
eval epoch 1/1:  91%|█████████ | 1239/1361 [03:02<00:24,  5.05it/s, loss=0.1258, rank=0.0264, reg=0.0994]
eval epoch 1/1:  91%|█████████ | 1240/1361 [03:02<00:31,  3.82it/s, loss=0.1258, rank=0.0264, reg=0.0994]
eval epoch 1/1:  91%|█████████ | 1240/1361 [03:02<00:31,  3.82it/s, loss=0.1421, rank=0.0789, reg=0.0633]
eval epoch 1/1:  91%|█████████ | 1241/1361 [03:02<00:44,  2.68it/s, loss=0.1421, rank=0.0789, reg=0.0633]
eval epoch 1/1:  91%|█████████ | 1241/1361 [03:03<00:44,  2.68it/s, loss=0.1242, rank=0.0340, reg=0.0902]
eval epoch 1/1:  91%|█████████▏| 1242/1361 [03:03<00:47,  2.49it/s, loss=0.1242, rank=0.0340, reg=0.0902]
eval epoch 1/1:  91%|█████████▏| 1242/1361 [03:03<00:47,  2.49it/s, loss=0.0854, rank=0.0427, reg=0.0426]
eval epoch 1/1:  91%|█████████▏| 1243/1361 [03:03<00:46,  2.52it/s, loss=0.0854, rank=0.0427, reg=0.0426]
eval epoch 1/1:  91%|█████████▏| 1243/1361 [03:04<00:46,  2.52it/s, loss=0.2066, rank=0.0371, reg=0.1695]
eval epoch 1/1:  91%|█████████▏| 1244/1361 [03:04<01:14,  1.58it/s, loss=0.2066, rank=0.0371, reg=0.1695]
eval epoch 1/1:  91%|█████████▏| 1244/1361 [03:05<01:14,  1.58it/s, loss=0.0872, rank=0.0329, reg=0.0543]
eval epoch 1/1:  91%|█████████▏| 1245/1361 [03:05<01:09,  1.67it/s, loss=0.0872, rank=0.0329, reg=0.0543]
eval epoch 1/1:  91%|█████████▏| 1245/1361 [03:06<01:09,  1.67it/s, loss=0.0894, rank=0.0608, reg=0.0286]
eval epoch 1/1:  92%|█████████▏| 1246/1361 [03:06<01:29,  1.28it/s, loss=0.0894, rank=0.0608, reg=0.0286]
eval epoch 1/1:  92%|█████████▏| 1246/1361 [03:07<01:29,  1.28it/s, loss=0.1043, rank=0.0880, reg=0.0163]
eval epoch 1/1:  92%|█████████▏| 1247/1361 [03:07<01:42,  1.11it/s, loss=0.1043, rank=0.0880, reg=0.0163]
eval epoch 1/1:  92%|█████████▏| 1247/1361 [03:08<01:42,  1.11it/s, loss=0.0899, rank=0.0516, reg=0.0382]
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eval epoch 1/1:  92%|█████████▏| 1250/1361 [03:11<01:36,  1.15it/s, loss=0.0480, rank=0.0138, reg=0.0342]
eval epoch 1/1:  92%|█████████▏| 1251/1361 [03:11<01:33,  1.18it/s, loss=0.0480, rank=0.0138, reg=0.0342]
eval epoch 1/1:  92%|█████████▏| 1251/1361 [03:11<01:33,  1.18it/s, loss=0.0174, rank=0.0083, reg=0.0091]
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eval epoch 1/1:  92%|█████████▏| 1252/1361 [03:12<01:30,  1.21it/s, loss=0.0433, rank=0.0053, reg=0.0380]
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eval epoch 1/1:  92%|█████████▏| 1255/1361 [03:15<01:25,  1.24it/s, loss=0.0711, rank=0.0324, reg=0.0387]
eval epoch 1/1:  92%|█████████▏| 1256/1361 [03:15<01:26,  1.22it/s, loss=0.0711, rank=0.0324, reg=0.0387]
eval epoch 1/1:  92%|█████████▏| 1256/1361 [03:16<01:26,  1.22it/s, loss=0.0540, rank=0.0000, reg=0.0540]
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eval epoch 1/1:  93%|█████████▎| 1260/1361 [03:18<01:10,  1.44it/s, loss=0.0300, rank=0.0032, reg=0.0268]
eval epoch 1/1:  93%|█████████▎| 1261/1361 [03:18<01:00,  1.67it/s, loss=0.0300, rank=0.0032, reg=0.0268]
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eval epoch 1/1:  93%|█████████▎| 1262/1361 [03:19<00:50,  1.96it/s, loss=0.0325, rank=0.0150, reg=0.0174]
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eval epoch 1/1:  93%|█████████▎| 1264/1361 [03:19<00:48,  2.01it/s, loss=0.0445, rank=0.0204, reg=0.0241]
eval epoch 1/1:  93%|█████████▎| 1264/1361 [03:20<00:48,  2.01it/s, loss=0.0213, rank=0.0080, reg=0.0133]
eval epoch 1/1:  93%|█████████▎| 1265/1361 [03:20<00:43,  2.21it/s, loss=0.0213, rank=0.0080, reg=0.0133]
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eval epoch 1/1:  93%|█████████▎| 1266/1361 [03:20<00:39,  2.43it/s, loss=0.0409, rank=0.0001, reg=0.0408]
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eval epoch 1/1:  93%|█████████▎| 1269/1361 [03:21<00:38,  2.39it/s, loss=0.0663, rank=0.0070, reg=0.0593]
eval epoch 1/1:  93%|█████████▎| 1269/1361 [03:22<00:38,  2.39it/s, loss=0.0329, rank=0.0160, reg=0.0169]
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eval epoch 1/1:  93%|█████████▎| 1271/1361 [03:22<00:40,  2.22it/s, loss=0.0478, rank=0.0195, reg=0.0283]
eval epoch 1/1:  93%|█████████▎| 1271/1361 [03:23<00:40,  2.22it/s, loss=0.0400, rank=0.0134, reg=0.0266]
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eval epoch 1/1:  94%|█████████▎| 1274/1361 [03:23<00:38,  2.25it/s, loss=0.0251, rank=0.0166, reg=0.0085]
eval epoch 1/1:  94%|█████████▎| 1274/1361 [03:24<00:38,  2.25it/s, loss=0.0697, rank=0.0016, reg=0.0681]
eval epoch 1/1:  94%|█████████▎| 1275/1361 [03:24<00:39,  2.16it/s, loss=0.0697, rank=0.0016, reg=0.0681]
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eval epoch 1/1:  94%|█████████▍| 1276/1361 [03:24<00:38,  2.23it/s, loss=0.0403, rank=0.0082, reg=0.0322]
eval epoch 1/1:  94%|█████████▍| 1276/1361 [03:25<00:38,  2.23it/s, loss=0.0186, rank=0.0076, reg=0.0111]
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eval epoch 1/1:  94%|█████████▍| 1277/1361 [03:26<00:41,  2.01it/s, loss=0.0939, rank=0.0042, reg=0.0896]
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eval epoch 1/1:  94%|█████████▍| 1279/1361 [03:27<00:43,  1.89it/s, loss=0.0233, rank=0.0015, reg=0.0218]
eval epoch 1/1:  94%|█████████▍| 1280/1361 [03:27<00:45,  1.77it/s, loss=0.0233, rank=0.0015, reg=0.0218]
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eval epoch 1/1:  94%|█████████▍| 1281/1361 [03:27<00:46,  1.72it/s, loss=0.0494, rank=0.0245, reg=0.0249]
eval epoch 1/1:  94%|█████████▍| 1281/1361 [03:28<00:46,  1.72it/s, loss=0.0823, rank=0.0016, reg=0.0808]
eval epoch 1/1:  94%|█████████▍| 1282/1361 [03:28<00:48,  1.64it/s, loss=0.0823, rank=0.0016, reg=0.0808]
eval epoch 1/1:  94%|█████████▍| 1282/1361 [03:29<00:48,  1.64it/s, loss=0.0457, rank=0.0092, reg=0.0365]
eval epoch 1/1:  94%|█████████▍| 1283/1361 [03:29<00:44,  1.77it/s, loss=0.0457, rank=0.0092, reg=0.0365]
eval epoch 1/1:  94%|█████████▍| 1283/1361 [03:29<00:44,  1.77it/s, loss=0.0664, rank=0.0542, reg=0.0122]
eval epoch 1/1:  94%|█████████▍| 1284/1361 [03:29<00:39,  1.93it/s, loss=0.0664, rank=0.0542, reg=0.0122]
eval epoch 1/1:  94%|█████████▍| 1284/1361 [03:30<00:39,  1.93it/s, loss=0.0296, rank=0.0124, reg=0.0172]
eval epoch 1/1:  94%|█████████▍| 1285/1361 [03:30<00:40,  1.89it/s, loss=0.0296, rank=0.0124, reg=0.0172]
eval epoch 1/1:  94%|█████████▍| 1285/1361 [03:30<00:40,  1.89it/s, loss=0.0217, rank=0.0076, reg=0.0141]
eval epoch 1/1:  94%|█████████▍| 1286/1361 [03:30<00:34,  2.15it/s, loss=0.0217, rank=0.0076, reg=0.0141]
eval epoch 1/1:  94%|█████████▍| 1286/1361 [03:30<00:34,  2.15it/s, loss=0.0356, rank=0.0044, reg=0.0312]
eval epoch 1/1:  95%|█████████▍| 1287/1361 [03:30<00:34,  2.15it/s, loss=0.0356, rank=0.0044, reg=0.0312]
eval epoch 1/1:  95%|█████████▍| 1287/1361 [03:31<00:34,  2.15it/s, loss=0.0258, rank=0.0100, reg=0.0158]
eval epoch 1/1:  95%|█████████▍| 1288/1361 [03:31<00:31,  2.28it/s, loss=0.0258, rank=0.0100, reg=0.0158]
eval epoch 1/1:  95%|█████████▍| 1288/1361 [03:32<00:31,  2.28it/s, loss=0.0247, rank=0.0116, reg=0.0131]
eval epoch 1/1:  95%|█████████▍| 1289/1361 [03:32<00:40,  1.78it/s, loss=0.0247, rank=0.0116, reg=0.0131]
eval epoch 1/1:  95%|█████████▍| 1289/1361 [03:32<00:40,  1.78it/s, loss=0.1099, rank=0.0175, reg=0.0924]
eval epoch 1/1:  95%|█████████▍| 1290/1361 [03:32<00:44,  1.58it/s, loss=0.1099, rank=0.0175, reg=0.0924]
eval epoch 1/1:  95%|█████████▍| 1290/1361 [03:33<00:44,  1.58it/s, loss=0.2800, rank=0.0179, reg=0.2621]
eval epoch 1/1:  95%|█████████▍| 1291/1361 [03:33<00:47,  1.46it/s, loss=0.2800, rank=0.0179, reg=0.2621]
eval epoch 1/1:  95%|█████████▍| 1291/1361 [03:34<00:47,  1.46it/s, loss=0.1222, rank=0.0137, reg=0.1086]
eval epoch 1/1:  95%|█████████▍| 1292/1361 [03:34<00:43,  1.58it/s, loss=0.1222, rank=0.0137, reg=0.1086]
eval epoch 1/1:  95%|█████████▍| 1292/1361 [03:34<00:43,  1.58it/s, loss=0.2165, rank=0.0399, reg=0.1765]
eval epoch 1/1:  95%|█████████▍| 1292/1361 [03:34<00:43,  1.58it/s, loss=0.1568, rank=0.0741, reg=0.0828]
eval epoch 1/1:  95%|█████████▌| 1294/1361 [03:34<00:25,  2.66it/s, loss=0.1568, rank=0.0741, reg=0.0828]
eval epoch 1/1:  95%|█████████▌| 1294/1361 [03:34<00:25,  2.66it/s, loss=0.1639, rank=0.0821, reg=0.0817]
eval epoch 1/1:  95%|█████████▌| 1294/1361 [03:34<00:25,  2.66it/s, loss=0.0980, rank=0.0632, reg=0.0348]
eval epoch 1/1:  95%|█████████▌| 1296/1361 [03:34<00:17,  3.65it/s, loss=0.0980, rank=0.0632, reg=0.0348]
eval epoch 1/1:  95%|█████████▌| 1296/1361 [03:34<00:17,  3.65it/s, loss=0.1323, rank=0.0846, reg=0.0478]
eval epoch 1/1:  95%|█████████▌| 1297/1361 [03:34<00:16,  3.97it/s, loss=0.1323, rank=0.0846, reg=0.0478]
eval epoch 1/1:  95%|█████████▌| 1297/1361 [03:34<00:16,  3.97it/s, loss=0.0615, rank=0.0489, reg=0.0125]
eval epoch 1/1:  95%|█████████▌| 1298/1361 [03:34<00:14,  4.38it/s, loss=0.0615, rank=0.0489, reg=0.0125]
eval epoch 1/1:  95%|█████████▌| 1298/1361 [03:34<00:14,  4.38it/s, loss=0.0836, rank=0.0670, reg=0.0166]
eval epoch 1/1:  95%|█████████▌| 1299/1361 [03:34<00:12,  4.78it/s, loss=0.0836, rank=0.0670, reg=0.0166]
eval epoch 1/1:  95%|█████████▌| 1299/1361 [03:35<00:12,  4.78it/s, loss=0.0855, rank=0.0348, reg=0.0507]
eval epoch 1/1:  96%|█████████▌| 1300/1361 [03:35<00:14,  4.10it/s, loss=0.0855, rank=0.0348, reg=0.0507]
eval epoch 1/1:  96%|█████████▌| 1300/1361 [03:35<00:14,  4.10it/s, loss=0.0904, rank=0.0827, reg=0.0077]
eval epoch 1/1:  96%|█████████▌| 1301/1361 [03:35<00:13,  4.55it/s, loss=0.0904, rank=0.0827, reg=0.0077]
eval epoch 1/1:  96%|█████████▌| 1301/1361 [03:36<00:13,  4.55it/s, loss=0.2433, rank=0.0493, reg=0.1940]
eval epoch 1/1:  96%|█████████▌| 1302/1361 [03:36<00:21,  2.80it/s, loss=0.2433, rank=0.0493, reg=0.1940]
eval epoch 1/1:  96%|█████████▌| 1302/1361 [03:36<00:21,  2.80it/s, loss=0.1274, rank=0.0705, reg=0.0569]
eval epoch 1/1:  96%|█████████▌| 1303/1361 [03:36<00:19,  2.97it/s, loss=0.1274, rank=0.0705, reg=0.0569]
eval epoch 1/1:  96%|█████████▌| 1303/1361 [03:36<00:19,  2.97it/s, loss=0.0537, rank=0.0386, reg=0.0151]
eval epoch 1/1:  96%|█████████▌| 1304/1361 [03:36<00:17,  3.31it/s, loss=0.0537, rank=0.0386, reg=0.0151]
eval epoch 1/1:  96%|█████████▌| 1304/1361 [03:36<00:17,  3.31it/s, loss=0.0707, rank=0.0606, reg=0.0101]
eval epoch 1/1:  96%|█████████▌| 1305/1361 [03:36<00:14,  3.73it/s, loss=0.0707, rank=0.0606, reg=0.0101]
eval epoch 1/1:  96%|█████████▌| 1305/1361 [03:37<00:14,  3.73it/s, loss=0.0666, rank=0.0437, reg=0.0230]
eval epoch 1/1:  96%|█████████▌| 1306/1361 [03:37<00:13,  4.10it/s, loss=0.0666, rank=0.0437, reg=0.0230]
eval epoch 1/1:  96%|█████████▌| 1306/1361 [03:37<00:13,  4.10it/s, loss=0.1759, rank=0.0677, reg=0.1082]
eval epoch 1/1:  96%|█████████▌| 1307/1361 [03:37<00:20,  2.64it/s, loss=0.1759, rank=0.0677, reg=0.1082]
eval epoch 1/1:  96%|█████████▌| 1307/1361 [03:38<00:20,  2.64it/s, loss=0.1034, rank=0.0687, reg=0.0348]
eval epoch 1/1:  96%|█████████▌| 1308/1361 [03:38<00:18,  2.89it/s, loss=0.1034, rank=0.0687, reg=0.0348]
eval epoch 1/1:  96%|█████████▌| 1308/1361 [03:38<00:18,  2.89it/s, loss=0.0730, rank=0.0419, reg=0.0311]
eval epoch 1/1:  96%|█████████▌| 1309/1361 [03:38<00:15,  3.45it/s, loss=0.0730, rank=0.0419, reg=0.0311]
eval epoch 1/1:  96%|█████████▌| 1309/1361 [03:38<00:15,  3.45it/s, loss=0.1129, rank=0.0772, reg=0.0357]
eval epoch 1/1:  96%|█████████▋| 1310/1361 [03:38<00:12,  4.16it/s, loss=0.1129, rank=0.0772, reg=0.0357]
eval epoch 1/1:  96%|█████████▋| 1310/1361 [03:38<00:12,  4.16it/s, loss=0.0921, rank=0.0629, reg=0.0292]
eval epoch 1/1:  96%|█████████▋| 1310/1361 [03:38<00:12,  4.16it/s, loss=0.0933, rank=0.0646, reg=0.0287]
eval epoch 1/1:  96%|█████████▋| 1312/1361 [03:38<00:09,  5.27it/s, loss=0.0933, rank=0.0646, reg=0.0287]
eval epoch 1/1:  96%|█████████▋| 1312/1361 [03:38<00:09,  5.27it/s, loss=0.0862, rank=0.0528, reg=0.0334]
eval epoch 1/1:  96%|█████████▋| 1313/1361 [03:38<00:08,  5.62it/s, loss=0.0862, rank=0.0528, reg=0.0334]
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eval epoch 1/1:  97%|█████████▋| 1314/1361 [03:38<00:08,  5.80it/s, loss=0.0838, rank=0.0553, reg=0.0284]
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eval epoch 1/1:  97%|█████████▋| 1316/1361 [03:39<00:07,  6.03it/s, loss=0.1944, rank=0.0760, reg=0.1184]
eval epoch 1/1:  97%|█████████▋| 1316/1361 [03:39<00:07,  6.03it/s, loss=0.0830, rank=0.0526, reg=0.0304]
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eval epoch 1/1:  97%|█████████▋| 1319/1361 [03:40<00:07,  5.61it/s, loss=0.1106, rank=0.0673, reg=0.0433]
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eval epoch 1/1:  97%|█████████▋| 1321/1361 [03:40<00:07,  5.52it/s, loss=0.1110, rank=0.0654, reg=0.0456]
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