| [2023-12-25 09:03:53,677][distributed_c10d.py][INFO] Added key: store_based_barrier_key:1 to store for rank: 5 | |
| [2023-12-25 09:03:53,687][distributed_c10d.py][INFO] Rank 4: Completed store-based barrier for key:store_based_barrier_key:1 with 8 nodes. | |
| [2023-12-25 09:04:20,079][model5_pretrain.py][INFO] Epoch:[0/1](0/112548) loss:11.448 lr:0.0000000 epoch_Time:5160.0min: | |
| [2023-12-25 09:04:20,082][distributed.py][INFO] Reducer buckets have been rebuilt in this iteration. | |
| [2023-12-25 09:04:58,031][model5_pretrain.py][INFO] Epoch:[0/1](100/112548) loss:7.868 lr:0.0000300 epoch_Time:755.0min: | |
| [2023-12-25 09:05:35,666][model5_pretrain.py][INFO] Epoch:[0/1](200/112548) loss:7.416 lr:0.0000600 epoch_Time:730.0min: | |
| [2023-12-25 09:06:13,474][model5_pretrain.py][INFO] Epoch:[0/1](300/112548) loss:6.188 lr:0.0000900 epoch_Time:723.0min: | |
| [2023-12-25 09:06:51,226][model5_pretrain.py][INFO] Epoch:[0/1](400/112548) loss:6.891 lr:0.0001200 epoch_Time:717.0min: | |
| [2023-12-25 09:07:28,887][model5_pretrain.py][INFO] Epoch:[0/1](500/112548) loss:5.332 lr:0.0001500 epoch_Time:714.0min: | |
| [2023-12-25 09:08:06,560][model5_pretrain.py][INFO] Epoch:[0/1](600/112548) loss:5.096 lr:0.0001800 epoch_Time:712.0min: | |
| [2023-12-25 09:08:44,245][model5_pretrain.py][INFO] Epoch:[0/1](700/112548) loss:5.120 lr:0.0002100 epoch_Time:710.0min: | |
| [2023-12-25 09:09:21,965][model5_pretrain.py][INFO] Epoch:[0/1](800/112548) loss:4.798 lr:0.0002400 epoch_Time:708.0min: | |
| [2023-12-25 09:09:59,676][model5_pretrain.py][INFO] Epoch:[0/1](900/112548) loss:4.646 lr:0.0002700 epoch_Time:707.0min: | |
| [2023-12-25 09:10:37,397][model5_pretrain.py][INFO] Epoch:[0/1](1000/112548) loss:4.587 lr:0.0003000 epoch_Time:706.0min: | |
| [2023-12-25 09:11:15,085][model5_pretrain.py][INFO] Epoch:[0/1](1100/112548) loss:4.548 lr:0.0003000 epoch_Time:705.0min: | |
| [2023-12-25 09:11:52,785][model5_pretrain.py][INFO] Epoch:[0/1](1200/112548) loss:4.478 lr:0.0003000 epoch_Time:704.0min: | |
| [2023-12-25 09:12:30,484][model5_pretrain.py][INFO] Epoch:[0/1](1300/112548) loss:4.533 lr:0.0003000 epoch_Time:703.0min: | |
| [2023-12-25 09:13:08,204][model5_pretrain.py][INFO] Epoch:[0/1](1400/112548) loss:4.661 lr:0.0003000 epoch_Time:702.0min: | |
| [2023-12-25 09:13:45,901][model5_pretrain.py][INFO] Epoch:[0/1](1500/112548) loss:4.775 lr:0.0003000 epoch_Time:701.0min: | |
| [2023-12-25 09:14:23,591][model5_pretrain.py][INFO] Epoch:[0/1](1600/112548) loss:4.498 lr:0.0003000 epoch_Time:700.0min: | |
| [2023-12-25 09:15:01,277][model5_pretrain.py][INFO] Epoch:[0/1](1700/112548) loss:3.631 lr:0.0002999 epoch_Time:700.0min: | |
| [2023-12-25 09:15:38,957][model5_pretrain.py][INFO] Epoch:[0/1](1800/112548) loss:3.503 lr:0.0002999 epoch_Time:698.0min: | |
| [2023-12-25 09:16:16,636][model5_pretrain.py][INFO] Epoch:[0/1](1900/112548) loss:4.775 lr:0.0002999 epoch_Time:698.0min: | |
| [2023-12-25 09:16:54,324][model5_pretrain.py][INFO] Epoch:[0/1](2000/112548) loss:4.013 lr:0.0002999 epoch_Time:697.0min: | |
| [2023-12-25 09:17:31,998][model5_pretrain.py][INFO] Epoch:[0/1](2100/112548) loss:3.858 lr:0.0002999 epoch_Time:696.0min: | |
| [2023-12-25 09:18:09,678][model5_pretrain.py][INFO] Epoch:[0/1](2200/112548) loss:3.645 lr:0.0002998 epoch_Time:696.0min: | |
| [2023-12-25 09:18:47,351][model5_pretrain.py][INFO] Epoch:[0/1](2300/112548) loss:4.378 lr:0.0002998 epoch_Time:695.0min: | |
| [2023-12-25 09:19:25,021][model5_pretrain.py][INFO] Epoch:[0/1](2400/112548) loss:3.961 lr:0.0002998 epoch_Time:694.0min: | |
| [2023-12-25 09:20:02,689][model5_pretrain.py][INFO] Epoch:[0/1](2500/112548) loss:4.001 lr:0.0002997 epoch_Time:694.0min: | |
| [2023-12-25 09:20:40,352][model5_pretrain.py][INFO] Epoch:[0/1](2600/112548) loss:4.306 lr:0.0002997 epoch_Time:692.0min: | |
| [2023-12-25 09:21:18,035][model5_pretrain.py][INFO] Epoch:[0/1](2700/112548) loss:4.191 lr:0.0002997 epoch_Time:691.0min: | |
| [2023-12-25 09:21:55,707][model5_pretrain.py][INFO] Epoch:[0/1](2800/112548) loss:3.702 lr:0.0002996 epoch_Time:691.0min: | |
| [2023-12-25 09:22:33,376][model5_pretrain.py][INFO] Epoch:[0/1](2900/112548) loss:4.223 lr:0.0002996 epoch_Time:690.0min: | |
| [2023-12-25 09:23:11,050][model5_pretrain.py][INFO] Epoch:[0/1](3000/112548) loss:4.147 lr:0.0002995 epoch_Time:690.0min: | |
| [2023-12-25 09:23:48,725][model5_pretrain.py][INFO] Epoch:[0/1](3100/112548) loss:4.070 lr:0.0002995 epoch_Time:689.0min: | |
| [2023-12-25 09:24:26,396][model5_pretrain.py][INFO] Epoch:[0/1](3200/112548) loss:3.090 lr:0.0002994 epoch_Time:688.0min: | |
| [2023-12-25 09:25:04,078][model5_pretrain.py][INFO] Epoch:[0/1](3300/112548) loss:3.437 lr:0.0002994 epoch_Time:688.0min: | |
| [2023-12-25 09:25:41,760][model5_pretrain.py][INFO] Epoch:[0/1](3400/112548) loss:3.836 lr:0.0002993 epoch_Time:687.0min: | |
| [2023-12-25 09:26:19,442][model5_pretrain.py][INFO] Epoch:[0/1](3500/112548) loss:4.028 lr:0.0002993 epoch_Time:686.0min: | |
| [2023-12-25 09:26:57,130][model5_pretrain.py][INFO] Epoch:[0/1](3600/112548) loss:3.261 lr:0.0002992 epoch_Time:686.0min: | |
| [2023-12-25 09:27:34,779][model5_pretrain.py][INFO] Epoch:[0/1](3700/112548) loss:4.117 lr:0.0002992 epoch_Time:685.0min: | |
| [2023-12-25 09:28:12,457][model5_pretrain.py][INFO] Epoch:[0/1](3800/112548) loss:4.117 lr:0.0002991 epoch_Time:685.0min: | |
| [2023-12-25 09:28:50,123][model5_pretrain.py][INFO] Epoch:[0/1](3900/112548) loss:3.766 lr:0.0002990 epoch_Time:684.0min: | |
| [2023-12-25 09:29:27,785][model5_pretrain.py][INFO] Epoch:[0/1](4000/112548) loss:3.485 lr:0.0002990 epoch_Time:683.0min: | |
| [2023-12-25 09:30:05,463][model5_pretrain.py][INFO] Epoch:[0/1](4100/112548) loss:3.641 lr:0.0002989 epoch_Time:683.0min: | |
| [2023-12-25 09:30:43,127][model5_pretrain.py][INFO] Epoch:[0/1](4200/112548) loss:3.077 lr:0.0002988 epoch_Time:682.0min: | |
| [2023-12-25 09:31:20,794][model5_pretrain.py][INFO] Epoch:[0/1](4300/112548) loss:3.516 lr:0.0002988 epoch_Time:681.0min: | |
| [2023-12-25 09:31:58,473][model5_pretrain.py][INFO] Epoch:[0/1](4400/112548) loss:3.751 lr:0.0002987 epoch_Time:681.0min: | |
| [2023-12-25 09:32:36,140][model5_pretrain.py][INFO] Epoch:[0/1](4500/112548) loss:3.204 lr:0.0002986 epoch_Time:679.0min: | |
| [2023-12-25 09:33:13,808][model5_pretrain.py][INFO] Epoch:[0/1](4600/112548) loss:3.512 lr:0.0002985 epoch_Time:679.0min: | |
| [2023-12-25 09:33:51,469][model5_pretrain.py][INFO] Epoch:[0/1](4700/112548) loss:3.664 lr:0.0002984 epoch_Time:678.0min: | |
| [2023-12-25 09:34:29,147][model5_pretrain.py][INFO] Epoch:[0/1](4800/112548) loss:3.222 lr:0.0002983 epoch_Time:677.0min: | |
| [2023-12-25 09:35:06,817][model5_pretrain.py][INFO] Epoch:[0/1](4900/112548) loss:3.977 lr:0.0002983 epoch_Time:677.0min: | |
| [2023-12-25 09:35:44,496][model5_pretrain.py][INFO] Epoch:[0/1](5000/112548) loss:3.618 lr:0.0002982 epoch_Time:676.0min: | |
| [2023-12-25 09:36:22,163][model5_pretrain.py][INFO] Epoch:[0/1](5100/112548) loss:3.887 lr:0.0002981 epoch_Time:675.0min: | |
| [2023-12-25 09:36:59,839][model5_pretrain.py][INFO] Epoch:[0/1](5200/112548) loss:3.761 lr:0.0002980 epoch_Time:675.0min: | |
| [2023-12-25 09:37:37,502][model5_pretrain.py][INFO] Epoch:[0/1](5300/112548) loss:3.315 lr:0.0002979 epoch_Time:674.0min: | |
| [2023-12-25 09:38:15,173][model5_pretrain.py][INFO] Epoch:[0/1](5400/112548) loss:3.479 lr:0.0002978 epoch_Time:674.0min: | |
| [2023-12-25 09:38:52,844][model5_pretrain.py][INFO] Epoch:[0/1](5500/112548) loss:2.999 lr:0.0002977 epoch_Time:673.0min: | |
| [2023-12-25 09:39:30,526][model5_pretrain.py][INFO] Epoch:[0/1](5600/112548) loss:3.832 lr:0.0002976 epoch_Time:672.0min: | |
| [2023-12-25 09:40:08,204][model5_pretrain.py][INFO] Epoch:[0/1](5700/112548) loss:3.473 lr:0.0002975 epoch_Time:672.0min: | |
| [2023-12-25 09:40:45,860][model5_pretrain.py][INFO] Epoch:[0/1](5800/112548) loss:3.407 lr:0.0002974 epoch_Time:671.0min: | |
| [2023-12-25 09:41:23,535][model5_pretrain.py][INFO] Epoch:[0/1](5900/112548) loss:3.253 lr:0.0002973 epoch_Time:670.0min: | |
| [2023-12-25 09:42:01,189][model5_pretrain.py][INFO] Epoch:[0/1](6000/112548) loss:3.847 lr:0.0002971 epoch_Time:670.0min: | |
| [2023-12-25 09:42:38,862][model5_pretrain.py][INFO] Epoch:[0/1](6100/112548) loss:3.551 lr:0.0002970 epoch_Time:669.0min: | |
| [2023-12-25 09:43:16,531][model5_pretrain.py][INFO] Epoch:[0/1](6200/112548) loss:3.246 lr:0.0002969 epoch_Time:669.0min: | |
| [2023-12-25 09:43:54,212][model5_pretrain.py][INFO] Epoch:[0/1](6300/112548) loss:3.516 lr:0.0002968 epoch_Time:668.0min: | |
| [2023-12-25 09:44:31,881][model5_pretrain.py][INFO] Epoch:[0/1](6400/112548) loss:3.571 lr:0.0002967 epoch_Time:667.0min: | |
| [2023-12-25 09:45:09,553][model5_pretrain.py][INFO] Epoch:[0/1](6500/112548) loss:3.691 lr:0.0002965 epoch_Time:667.0min: | |
| [2023-12-25 09:45:47,232][model5_pretrain.py][INFO] Epoch:[0/1](6600/112548) loss:3.781 lr:0.0002964 epoch_Time:666.0min: | |
| [2023-12-25 09:46:24,903][model5_pretrain.py][INFO] Epoch:[0/1](6700/112548) loss:3.396 lr:0.0002963 epoch_Time:665.0min: | |
| [2023-12-25 09:47:02,582][model5_pretrain.py][INFO] Epoch:[0/1](6800/112548) loss:3.499 lr:0.0002962 epoch_Time:665.0min: | |
| [2023-12-25 09:47:40,265][model5_pretrain.py][INFO] Epoch:[0/1](6900/112548) loss:4.133 lr:0.0002960 epoch_Time:664.0min: | |
| [2023-12-25 09:48:17,966][model5_pretrain.py][INFO] Epoch:[0/1](7000/112548) loss:3.885 lr:0.0002959 epoch_Time:663.0min: | |
| [2023-12-25 09:48:55,670][model5_pretrain.py][INFO] Epoch:[0/1](7100/112548) loss:2.886 lr:0.0002958 epoch_Time:663.0min: | |
| [2023-12-25 09:49:33,370][model5_pretrain.py][INFO] Epoch:[0/1](7200/112548) loss:3.441 lr:0.0002956 epoch_Time:662.0min: | |
| [2023-12-25 09:50:11,061][model5_pretrain.py][INFO] Epoch:[0/1](7300/112548) loss:3.878 lr:0.0002955 epoch_Time:662.0min: | |
| [2023-12-25 09:50:48,760][model5_pretrain.py][INFO] Epoch:[0/1](7400/112548) loss:3.380 lr:0.0002953 epoch_Time:661.0min: | |
| [2023-12-25 09:51:26,464][model5_pretrain.py][INFO] Epoch:[0/1](7500/112548) loss:3.334 lr:0.0002952 epoch_Time:660.0min: | |
| [2023-12-25 09:52:04,169][model5_pretrain.py][INFO] Epoch:[0/1](7600/112548) loss:3.551 lr:0.0002950 epoch_Time:660.0min: | |
| [2023-12-25 09:52:41,861][model5_pretrain.py][INFO] Epoch:[0/1](7700/112548) loss:3.822 lr:0.0002949 epoch_Time:659.0min: | |
| [2023-12-25 09:53:19,567][model5_pretrain.py][INFO] Epoch:[0/1](7800/112548) loss:3.424 lr:0.0002947 epoch_Time:658.0min: | |
| [2023-12-25 09:53:57,268][model5_pretrain.py][INFO] Epoch:[0/1](7900/112548) loss:3.482 lr:0.0002946 epoch_Time:658.0min: | |
| [2023-12-25 09:54:34,941][model5_pretrain.py][INFO] Epoch:[0/1](8000/112548) loss:3.434 lr:0.0002944 epoch_Time:657.0min: | |
| [2023-12-25 09:55:12,635][model5_pretrain.py][INFO] Epoch:[0/1](8100/112548) loss:2.995 lr:0.0002943 epoch_Time:657.0min: | |
| [2023-12-25 09:55:50,317][model5_pretrain.py][INFO] Epoch:[0/1](8200/112548) loss:3.274 lr:0.0002941 epoch_Time:656.0min: | |
| [2023-12-25 09:56:28,005][model5_pretrain.py][INFO] Epoch:[0/1](8300/112548) loss:3.621 lr:0.0002939 epoch_Time:655.0min: | |
| [2023-12-25 09:57:05,698][model5_pretrain.py][INFO] Epoch:[0/1](8400/112548) loss:3.380 lr:0.0002938 epoch_Time:655.0min: | |
| [2023-12-25 09:57:43,396][model5_pretrain.py][INFO] Epoch:[0/1](8500/112548) loss:3.840 lr:0.0002936 epoch_Time:654.0min: | |
| [2023-12-25 09:58:21,079][model5_pretrain.py][INFO] Epoch:[0/1](8600/112548) loss:3.825 lr:0.0002934 epoch_Time:653.0min: | |
| [2023-12-25 09:58:58,787][model5_pretrain.py][INFO] Epoch:[0/1](8700/112548) loss:3.484 lr:0.0002933 epoch_Time:653.0min: | |
| [2023-12-25 09:59:36,492][model5_pretrain.py][INFO] Epoch:[0/1](8800/112548) loss:3.754 lr:0.0002931 epoch_Time:652.0min: | |
| [2023-12-25 10:00:14,191][model5_pretrain.py][INFO] Epoch:[0/1](8900/112548) loss:3.495 lr:0.0002929 epoch_Time:652.0min: | |
| [2023-12-25 10:00:51,882][model5_pretrain.py][INFO] Epoch:[0/1](9000/112548) loss:3.392 lr:0.0002927 epoch_Time:651.0min: | |
| [2023-12-25 10:01:29,579][model5_pretrain.py][INFO] Epoch:[0/1](9100/112548) loss:3.491 lr:0.0002925 epoch_Time:650.0min: | |
| [2023-12-25 10:02:07,277][model5_pretrain.py][INFO] Epoch:[0/1](9200/112548) loss:4.133 lr:0.0002924 epoch_Time:650.0min: | |
| [2023-12-25 10:02:44,972][model5_pretrain.py][INFO] Epoch:[0/1](9300/112548) loss:3.342 lr:0.0002922 epoch_Time:649.0min: | |
| [2023-12-25 10:03:22,653][model5_pretrain.py][INFO] Epoch:[0/1](9400/112548) loss:3.409 lr:0.0002920 epoch_Time:648.0min: | |
| [2023-12-25 10:04:00,344][model5_pretrain.py][INFO] Epoch:[0/1](9500/112548) loss:3.553 lr:0.0002918 epoch_Time:648.0min: | |
| [2023-12-25 10:04:38,048][model5_pretrain.py][INFO] Epoch:[0/1](9600/112548) loss:2.951 lr:0.0002916 epoch_Time:647.0min: | |
| [2023-12-25 10:05:15,732][model5_pretrain.py][INFO] Epoch:[0/1](9700/112548) loss:3.427 lr:0.0002914 epoch_Time:647.0min: | |
| [2023-12-25 10:05:53,438][model5_pretrain.py][INFO] Epoch:[0/1](9800/112548) loss:3.828 lr:0.0002912 epoch_Time:646.0min: | |
| [2023-12-25 10:06:31,136][model5_pretrain.py][INFO] Epoch:[0/1](9900/112548) loss:3.682 lr:0.0002910 epoch_Time:645.0min: | |
| [2023-12-25 10:07:08,835][model5_pretrain.py][INFO] Epoch:[0/1](10000/112548) loss:3.593 lr:0.0002908 epoch_Time:645.0min: | |
| [2023-12-25 10:07:46,499][model5_pretrain.py][INFO] Epoch:[0/1](10100/112548) loss:3.510 lr:0.0002906 epoch_Time:644.0min: | |
| [2023-12-25 10:08:24,203][model5_pretrain.py][INFO] Epoch:[0/1](10200/112548) loss:3.644 lr:0.0002904 epoch_Time:643.0min: | |
| [2023-12-25 10:09:01,890][model5_pretrain.py][INFO] Epoch:[0/1](10300/112548) loss:3.415 lr:0.0002902 epoch_Time:643.0min: | |
| [2023-12-25 10:09:39,596][model5_pretrain.py][INFO] Epoch:[0/1](10400/112548) loss:3.621 lr:0.0002900 epoch_Time:642.0min: | |
| [2023-12-25 10:10:17,294][model5_pretrain.py][INFO] Epoch:[0/1](10500/112548) loss:3.574 lr:0.0002898 epoch_Time:642.0min: | |
| [2023-12-25 10:10:54,991][model5_pretrain.py][INFO] Epoch:[0/1](10600/112548) loss:3.539 lr:0.0002896 epoch_Time:641.0min: | |
| [2023-12-25 10:11:32,690][model5_pretrain.py][INFO] Epoch:[0/1](10700/112548) loss:3.539 lr:0.0002893 epoch_Time:640.0min: | |
| [2023-12-25 10:12:10,389][model5_pretrain.py][INFO] Epoch:[0/1](10800/112548) loss:3.658 lr:0.0002891 epoch_Time:640.0min: | |
| [2023-12-25 10:12:48,079][model5_pretrain.py][INFO] Epoch:[0/1](10900/112548) loss:3.451 lr:0.0002889 epoch_Time:639.0min: | |
| [2023-12-25 10:13:25,785][model5_pretrain.py][INFO] Epoch:[0/1](11000/112548) loss:3.075 lr:0.0002887 epoch_Time:638.0min: | |
| [2023-12-25 10:14:03,485][model5_pretrain.py][INFO] Epoch:[0/1](11100/112548) loss:3.515 lr:0.0002885 epoch_Time:638.0min: | |
| [2023-12-25 10:14:41,176][model5_pretrain.py][INFO] Epoch:[0/1](11200/112548) loss:3.180 lr:0.0002882 epoch_Time:637.0min: | |
| [2023-12-25 10:15:18,869][model5_pretrain.py][INFO] Epoch:[0/1](11300/112548) loss:3.476 lr:0.0002880 epoch_Time:636.0min: | |
| [2023-12-25 10:15:56,566][model5_pretrain.py][INFO] Epoch:[0/1](11400/112548) loss:3.186 lr:0.0002878 epoch_Time:636.0min: | |
| [2023-12-25 10:16:34,264][model5_pretrain.py][INFO] Epoch:[0/1](11500/112548) loss:3.294 lr:0.0002875 epoch_Time:635.0min: | |
| [2023-12-25 10:17:11,960][model5_pretrain.py][INFO] Epoch:[0/1](11600/112548) loss:3.662 lr:0.0002873 epoch_Time:635.0min: | |
| [2023-12-25 10:17:49,654][model5_pretrain.py][INFO] Epoch:[0/1](11700/112548) loss:3.092 lr:0.0002871 epoch_Time:634.0min: | |
| [2023-12-25 10:18:27,354][model5_pretrain.py][INFO] Epoch:[0/1](11800/112548) loss:3.717 lr:0.0002868 epoch_Time:633.0min: | |
| [2023-12-25 10:19:05,058][model5_pretrain.py][INFO] Epoch:[0/1](11900/112548) loss:3.214 lr:0.0002866 epoch_Time:633.0min: | |
| [2023-12-25 10:19:42,752][model5_pretrain.py][INFO] Epoch:[0/1](12000/112548) loss:3.665 lr:0.0002863 epoch_Time:632.0min: | |
| [2023-12-25 10:20:20,453][model5_pretrain.py][INFO] Epoch:[0/1](12100/112548) loss:3.574 lr:0.0002861 epoch_Time:631.0min: | |
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| [2023-12-25 11:06:51,479][model5_pretrain.py][INFO] Epoch:[0/1](19500/112548) loss:2.918 lr:0.0002625 epoch_Time:585.0min: | |
| [2023-12-25 11:07:29,199][model5_pretrain.py][INFO] Epoch:[0/1](19600/112548) loss:2.968 lr:0.0002621 epoch_Time:584.0min: | |
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| [2023-12-25 11:17:38,452][model5_pretrain.py][INFO] Epoch:[0/1](21200/112548) loss:3.296 lr:0.0002557 epoch_Time:574.0min: | |
| [2023-12-25 11:18:16,175][model5_pretrain.py][INFO] Epoch:[0/1](21300/112548) loss:3.288 lr:0.0002553 epoch_Time:574.0min: | |
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| [2023-12-25 11:19:31,615][model5_pretrain.py][INFO] Epoch:[0/1](21500/112548) loss:3.191 lr:0.0002544 epoch_Time:572.0min: | |
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| [2023-12-25 11:20:47,064][model5_pretrain.py][INFO] Epoch:[0/1](21700/112548) loss:3.462 lr:0.0002536 epoch_T[2023-12-25 11[2023-12-25 11:21:24,787][model5_pretrain.py][INFO] Epoch:[0/1](21800/112548) loss:3.328 lr:0.0002532 epoch_Time:570.0min: | |
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| [2023-12-25 11:23:55,659][model5_pretrain.py][INFO] Epoch:[0/1](22200/112548) loss:3.103 lr:0.0002515 epoch_Time:568.0min: | |
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| [2023-12-25 11:25:11,088][model5_pretrain.py][INFO] Epoch:[0/1](22400/112548) loss:3.219 lr:0.0002506 epoch_T[2023-12-25 11[2023-12-25 11:25:48,803][model5_pretrain.py][INFO] Epoch:[0/1](22500/112548) loss:3.227 lr:0.0002502 epoch_Time:566.0min: | |
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| [2023-12-25 11:45:55,780][model5_pretrain.py][INFO] Epoch:[0/1](25700/112548) loss:3.078 lr:0.0002355 epoch_T[2023-12-25 11[2023-12-25 11:46:33,496][model5_pretrain.py][INFO] Epoch:[0/1](25800/112548) loss:3.402 lr:0.0002350 epoch_Time:545.0min: | |
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| [2023-12-25 11:52:12,993][model5_pretrain.py][INFO] Epoch:[0/1](26700/112548) loss:2.667 lr:0.0002306 epoch_T[2023-12-25 11[2023-12-25 11:52:50,708][model5_pretrain.py][INFO] Epoch:[0/1](26800/112548) loss:3.035 lr:0.0002301 epoch_Time:539.0min: | |
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| [2023-12-25 12:36:50,283][model5_pretrain.py][INFO] Epoch:[0/1](33800/112548) loss:2.422 lr:0.0001932 epoch_T[2023-12-25 12[2023-12-25 12:37:27,991][model5_pretrain.py][INFO] Epoch:[0/1](33900/112548) loss:3.464 lr:0.0001926 epoch_Time:494.0min: | |
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| [2023-12-25 13:01:20,889][model5_pretrain.py][INFO] Epoch:[0/1](37700/112548) loss:3.367 lr:0.0001711 epoch_T[2023-12-25 13[2023-12-25 13:01:58,594][model5_pretrain.py][INFO] Epoch:[0/1](37800/112548) loss:3.056 lr:0.0001705 epoch_T[2023-12-25 13[2023-12-25 13:02:36,297][model5_pretrain.py][INFO] Epoch:[0/1](37900/112548) loss:3.112 lr:0.0001700 epoch_Time:469.0min: | |
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| [2023-12-25 13:12:39,551][model5_pretrain.py][INFO] Epoch:[0/1](39500/112548) loss:2.543 lr:0.0001608 epoch_T[2023-12-25 13[2023-12-25 13:13:17,264][model5_pretrain.py][INFO] Epoch:[0/1](39600/112548) loss:3.293 lr:0.0001602 epoch_T[2023-12-25 13[2023-12-25 13:13:54,970][model5_pretrain.py][INFO] Epoch:[0/1](39700/112548) loss:2.697 lr:0.0001596 epoch_Time:458.0min: | |
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| [2023-12-25 14:11:51,005][model5_pretrain.py][INFO] Epoch:[0/1](48900/112548) loss:2.662 lr:0.0001075 epoch_Time:400.0min: | |
| [2023-12-25 14:12:28,724][model5_pretrain.py][INFO] Epoch:[0/1](49000/112548) loss:3.285 lr:0.0001069 epoch_Time:399.0min: | |
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| [2023-12-25 14:13:44,163][model5_pretrain.py][INFO] Epoch:[0/1](49200/112548) loss:3.211 lr:0.0001058 epoch_Time:398.0min: | |
| [2023-12-25 14:14:21,887][model5_pretrain.py][INFO] Epoch:[0/1](49300/112548) loss:2.894 lr:0.0001053 epoch_Time:397.0min: | |
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| [2023-12-25 14:15:37,323][model5_pretrain.py][INFO] Epoch:[0/1](49500/112548) loss:3.003 lr:0.0001042 epoch_Time:396.0min: | |
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| [2023-12-25 14:16:52,799][model5_pretrain.py][INFO] Epoch:[0/1](49700/112548) loss:3.257 lr:0.0001031 epoch_Time:395.0min: | |
| [2023-12-25 14:17:30,833][model5_pretrain.py][INFO] Epoch:[0/1](49800/112548) loss:2.724 lr:0.0001026 epoch_Time:394.0min: | |
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| [2023-12-25 14:18:46,283][model5_pretrain.py][INFO] Epoch:[0/1](50000/112548) loss:2.953 lr:0.0001015 epoch_Time:393.0min: | |
| [2023-12-25 14:19:23,970][model5_pretrain.py][INFO] Epoch:[0/1](50100/112548) loss:2.821 lr:0.0001010 epoch_Time:392.0min: | |
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| [2023-12-25 14:20:39,401][model5_pretrain.py][INFO] Epoch:[0/1](50300/112548) loss:3.043 lr:0.0000999 epoch_Time:391.0min: | |
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| [2023-12-25 14:21:54,825][model5_pretrain.py][INFO] Epoch:[0/1](50500/112548) loss:2.602 lr:0.0000988 epoch_Time:390.0min: | |
| [2023-12-25 14:22:32,547][model5_pretrain.py][INFO] Epoch:[0/1](50600/112548) loss:2.818 lr:0.0000983 epoch_Time:389.0min: | |
| [2023-12-25 14:23:10,269][model5_pretrain.py][INFO] Epoch:[0/1](50700/112548) loss:2.948 lr:0.0000978 epoch_Time:389.0min: | |
| [2023-12-25 14:23:47,983][model5_pretrain.py][INFO] Epoch:[0/1](50800/112548) loss:2.878 lr:0.0000973 epoch_Time:388.0min: | |
| [2023-12-25 14:24:25,740][model5_pretrain.py][INFO] Epoch:[0/1](50900/112548) loss:2.886 lr:0.0000967 epoch_Time:387.0min: | |
| [2023-12-25 14:25:03,519][model5_pretrain.py][INFO] Epoch:[0/1](51000/112548) loss:2.246 lr:0.0000962 epoch_Time:387.0min: | |
| [2023-12-25 14:25:41,302][model5_pretrain.py][INFO] Epoch:[0/1](51100/112548) loss:2.786 lr:0.0000957 epoch_Time:386.0min: | |
| [2023-12-25 14:26:19,062][model5_pretrain.py][INFO] Epoch:[0/1](51200/112548) loss:2.876 lr:0.0000951 epoch_Time:385.0min: | |
| [2023-12-25 14:26:56,791][model5_pretrain.py][INFO] Epoch:[0/1](51300/112548) loss:2.518 lr:0.0000946 epoch_Time:385.0min: | |
| [2023-12-25 14:27:34,510][model5_pretrain.py][INFO] Epoch:[0/1](51400/112548) loss:2.348 lr:0.0000941 epoch_Time:384.0min: | |
| [2023-12-25 14:28:12,220][model5_pretrain.py][INFO] Epoch:[0/1](51500/112548) loss:2.135 lr:0.0000936 epoch_Time:384.0min: | |
| [2023-12-25 14:28:49,941][model5_pretrain.py][INFO] Epoch:[0/1](51600/112548) loss:3.129 lr:0.0000931 epoch_Time:383.0min: | |
| [2023-12-25 14:29:27,659][model5_pretrain.py][INFO] Epoch:[0/1](51700/112548) loss:3.127 lr:0.0000925 epoch_Time:382.0min: | |
| [2023-12-25 14:30:05,377][model5_pretrain.py][INFO] Epoch:[0/1](51800/112548) loss:2.728 lr:0.0000920 epoch_Time:382.0min: | |
| [2023-12-25 14:30:43,092][model5_pretrain.py][INFO] Epoch:[0/1](51900/112548) loss:3.359 lr:0.0000915 epoch_Time:381.0min: | |
| [2023-12-25 14:31:20,813][model5_pretrain.py][INFO] Epoch:[0/1](52000/112548) loss:2.811 lr:0.0000910 epoch_Time:380.0min: | |
| [2023-12-25 14:31:58,529][model5_pretrain.py][INFO] Epoch:[0/1](52100/112548) loss:3.138 lr:0.0000905 epoch_Time:380.0min: | |
| [2023-12-25 14:32:36,266][model5_pretrain.py][INFO] Epoch:[0/1](52200/112548) loss:3.407 lr:0.0000899 epoch_Time:379.0min: | |
| [2023-12-25 14:33:13,992][model5_pretrain.py][INFO] Epoch:[0/1](52300/112548) loss:2.860 lr:0.0000894 epoch_Time:379.0min: | |
| [2023-12-25 14:33:51,726][model5_pretrain.py][INFO] Epoch:[0/1](52400/112548) loss:2.791 lr:0.0000889 epoch_Time:378.0min: | |
| [2023-12-25 14:34:29,460][model5_pretrain.py][INFO] Epoch:[0/1](52500/112548) loss:2.956 lr:0.0000884 epoch_Time:377.0min: | |
| [2023-12-25 14:35:07,197][model5_pretrain.py][INFO] Epoch:[0/1](52600/112548) loss:2.605 lr:0.0000879 epoch_Time:377.0min: | |
| [2023-12-25 14:35:44,914][model5_pretrain.py][INFO] Epoch:[0/1](52700/112548) loss:2.992 lr:0.0000874 epoch_Time:376.0min: | |
| [2023-12-25 14:36:22,641][model5_pretrain.py][INFO] Epoch:[0/1](52800/112548) loss:2.696 lr:0.0000869 epoch_Time:375.0min: | |
| [2023-12-25 14:37:00,366][model5_pretrain.py][INFO] Epoch:[0/1](52900/112548) loss:2.152 lr:0.0000864 epoch_Time:375.0min: | |
| [2023-12-25 14:37:38,094][model5_pretrain.py][INFO] Epoch:[0/1](53000/112548) loss:2.572 lr:0.0000859 epoch_Time:374.0min: | |
| [2023-12-25 14:38:15,816][model5_pretrain.py][INFO] Epoch:[0/1](53100/112548) loss:3.137 lr:0.0000853 epoch_Time:374.0min: | |
| [2023-12-25 14:38:53,541][model5_pretrain.py][INFO] Epoch:[0/1](53200/112548) loss:2.723 lr:0.0000848 epoch_Time:373.0min: | |
| [2023-12-25 14:39:31,265][model5_pretrain.py][INFO] Epoch:[0/1](53300/112548) loss:3.271 lr:0.0000843 epoch_Time:372.0min: | |
| [2023-12-25 14:40:08,998][model5_pretrain.py][INFO] Epoch:[0/1](53400/112548) loss:3.117 lr:0.0000838 epoch_Time:372.0min: | |
| [2023-12-25 14:40:46,716][model5_pretrain.py][INFO] Epoch:[0/1](53500/112548) loss:3.014 lr:0.0000833 epoch_Time:371.0min: | |
| [2023-12-25 14:41:24,436][model5_pretrain.py][INFO] Epoch:[0/1](53600/112548) loss:2.317 lr:0.0000828 epoch_Time:370.0min: | |
| [2023-12-25 14:42:02,153][model5_pretrain.py][INFO] Epoch:[0/1](53700/112548) loss:2.847 lr:0.0000823 epoch_Time:370.0min: | |
| [2023-12-25 14:42:39,876][model5_pretrain.py][INFO] Epoch:[0/1](53800/112548) loss:3.223 lr:0.0000818 epoch_Time:369.0min: | |
| [2023-12-25 14:43:17,592][model5_pretrain.py][INFO] Epoch:[0/1](53900/112548) loss:2.864 lr:0.0000813 epoch_Time:368.0min: | |
| [2023-12-25 14:43:55,309][model5_pretrain.py][INFO] Epoch:[0/1](54000/112548) loss:3.128 lr:0.0000808 epoch_Time:368.0min: | |
| [2023-12-25 14:44:33,023][model5_pretrain.py][INFO] Epoch:[0/1](54100/112548) loss:3.311 lr:0.0000803 epoch_Time:367.0min: | |
| [2023-12-25 14:45:10,717][model5_pretrain.py][INFO] Epoch:[0/1](54200/112548) loss:3.263 lr:0.0000799 epoch_Time:367.0min: | |
| [2023-12-25 14:45:48,443][model5_pretrain.py][INFO] Epoch:[0/1](54300/112548) loss:3.380 lr:0.0000794 epoch_Time:366.0min: | |
| [2023-12-25 14:46:26,145][model5_pretrain.py][INFO] Epoch:[0/1](54400/112548) loss:2.379 lr:0.0000789 epoch_Time:365.0min: | |
| [2023-12-25 14:47:03,873][model5_pretrain.py][INFO] Epoch:[0/1](54500/112548) loss:2.947 lr:0.0000784 epoch_Time:365.0min: | |
| [2023-12-25 14:47:41,573][model5_pretrain.py][INFO] Epoch:[0/1](54600/112548) loss:2.763 lr:0.0000779 epoch_Time:364.0min: | |
| [2023-12-25 14:48:19,285][model5_pretrain.py][INFO] Epoch:[0/1](54700/112548) loss:2.839 lr:0.0000774 epoch_Time:363.0min: | |
| [2023-12-25 14:48:56,977][model5_pretrain.py][INFO] Epoch:[0/1](54800/112548) loss:2.806 lr:0.0000769 epoch_Time:363.0min: | |
| [2023-12-25 14:49:34,673][model5_pretrain.py][INFO] Epoch:[0/1](54900/112548) loss:2.713 lr:0.0000764 epoch_Time:362.0min: | |
| [2023-12-25 14:50:12,377][model5_pretrain.py][INFO] Epoch:[0/1](55000/112548) loss:3.309 lr:0.0000759 epoch_Time:362.0min: | |
| [2023-12-25 14:50:50,075][model5_pretrain.py][INFO] Epoch:[0/1](55100/112548) loss:2.872 lr:0.0000755 epoch_Time:361.0min: | |
| [2023-12-25 14:51:27,778][model5_pretrain.py][INFO] Epoch:[0/1](55200/112548) loss:2.795 lr:0.0000750 epoch_Time:360.0min: | |
| [2023-12-25 14:52:05,487][model5_pretrain.py][INFO] Epoch:[0/1](55300/112548) loss:3.161 lr:0.0000745 epoch_Time:360.0min: | |
| [2023-12-25 14:52:43,183][model5_pretrain.py][INFO] Epoch:[0/1](55400/112548) loss:2.577 lr:0.0000740 epoch_Time:359.0min: | |
| [2023-12-25 14:53:20,886][model5_pretrain.py][INFO] Epoch:[0/1](55500/112548) loss:2.847 lr:0.0000735 epoch_Time:358.0min: | |
| [2023-12-25 14:53:58,589][model5_pretrain.py][INFO] Epoch:[0/1](55600/112548) loss:2.952 lr:0.0000731 epoch_Time:358.0min: | |
| [2023-12-25 14:54:36,303][model5_pretrain.py][INFO] Epoch:[0/1](55700/112548) loss:3.178 lr:0.0000726 epoch_Time:357.0min: | |
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| [2023-12-25 14:55:51,704][model5_pretrain.py][INFO] Epoch:[0/1](55900/112548) loss:2.379 lr:0.0000716 epoch_Time:356.0min: | |
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| [2023-12-25 14:57:44,810][model5_pretrain.py][INFO] Epoch:[0/1](56200/112548) loss:2.564 lr:0.0000702 epoch_Time:354.0min: | |
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| [2023-12-25 15:02:46,424][model5_pretrain.py][INFO] Epoch:[0/1](57000/112548) loss:2.798 lr:0.0000665 epoch_Time:349.0min: | |
| [2023-12-25 15:03:24,122][model5_pretrain.py][INFO] Epoch:[0/1](57100/112548) loss:2.786 lr:0.0000661 epoch_Time:348.0min: | |
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| [2023-12-25 15:27:22,885][model5_pretrain.py][INFO] Epoch:[0/1](60900/112548) loss:3.115 lr:0.0000499 epoch_Time:324.0min: | |
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| [2023-12-25 15:42:28,158][model5_pretrain.py][INFO] Epoch:[0/1](63300/112548) loss:2.597 lr:0.0000408 epoch_Time:309.0min: | |
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| [2023-12-25 15:53:47,152][model5_pretrain.py][INFO] Epoch:[0/1](65100/112548) loss:2.766 lr:0.0000347 epoch_Time:298.0min: | |
| [2023-12-25 15:54:24,877][model5_pretrain.py][INFO] Epoch:[0/1](65200/112548) loss:3.384 lr:0.0000344 epoch_Time:297.0min: | |
| [2023-12-25 15:55:02,601][model5_pretrain.py][INFO] Epoch:[0/1](65300/112548) loss:2.985 lr:0.0000341 epoch_Time:297.0min: | |
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| [2023-12-25 16:03:50,790][model5_pretrain.py][INFO] Epoch:[0/1](66700/112548) loss:2.320 lr:0.0000298 epoch_Time:288.0min: | |
| [2023-12-25 16:04:28,519][model5_pretrain.py][INFO] Epoch:[0/1](66800/112548) loss:2.647 lr:0.0000295 epoch_Time:287.0min: | |
| [2023-12-25 16:05:06,247][model5_pretrain.py][INFO] Epoch:[0/1](66900/112548) loss:2.866 lr:0.0000292 epoch_Time:287.0min: | |
| [2023-12-25 16:05:43,971][model5_pretrain.py][INFO] Epoch:[0/1](67000/112548) loss:2.950 lr:0.0000289 epoch_Time:286.0min: | |
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| [2023-12-25 16:06:59,424][model5_pretrain.py][INFO] Epoch:[0/1](67200/112548) loss:2.562 lr:0.0000284 epoch_Time:285.0min: | |
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| [2023-12-25 16:44:42,812][model5_pretrain.py][INFO] Epoch:[0/1](73200/112548) loss:3.022 lr:0.0000153 epoch_Time:247.0min: | |
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| [2023-12-25 16:46:35,949][model5_pretrain.py][INFO] Epoch:[0/1](73500/112548) loss:2.615 lr:0.0000148 epoch_Time:245.0min: | |
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| [2023-12-25 16:47:51,332][model5_pretrain.py][INFO] Epoch:[0/1](73700/112548) loss:2.279 lr:0.0000145 epoch_Time:244.0min: | |
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| [2023-12-25 16:51:37,638][model5_pretrain.py][INFO] Epoch:[0/1](74300/112548) loss:2.922 lr:0.0000137 epoch_Time:240.0min: | |
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| [2023-12-25 16:59:47,820][model5_pretrain.py][INFO] Epoch:[0/1](75600/112548) loss:3.127 lr:0.0000122 epoch_Time:232.0min: | |
| [2023-12-25 17:00:25,537][model5_pretrain.py][INFO] Epoch:[0/1](75700/112548) loss:3.346 lr:0.0000121 epoch_Time:231.0min: | |
| [2023-12-25 17:01:03,240][model5_pretrain.py][INFO] Epoch:[0/1](75800/112548) loss:2.984 lr:0.0000120 epoch_Time:231.0min: | |
| [2023-12-25 17:01:40,947][model5_pretrain.py][INFO] Epoch:[0/1](75900/112548) loss:2.726 lr:0.0000119 epoch_Time:230.0min: | |
| [2023-12-25 17:02:18,660][model5_pretrain.py][INFO] Epoch:[0/1](76000/112548) loss:2.837 lr:0.0000118 epoch_Time:229.0min: | |
| [2023-12-25 17:02:56,367][model5_pretrain.py][INFO] Epoch:[0/1](76100/112548) loss:3.114 lr:0.0000117 epoch_Time:229.0min: | |
| [2023-12-25 17:03:34,088][model5_pretrain.py][INFO] Epoch:[0/1](76200/112548) loss:2.304 lr:0.0000117 epoch_Time:228.0min: | |
| [2023-12-25 17:04:11,799][model5_pretrain.py][INFO] Epoch:[0/1](76300/112548) loss:2.872 lr:0.0000116 epoch_Time:228.0min: | |
| [2023-12-25 17:04:49,510][model5_pretrain.py][INFO] Epoch:[0/1](76400/112548) loss:3.141 lr:0.0000115 epoch_Time:227.0min: | |
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| [2023-12-25 17:07:20,320][model5_pretrain.py][INFO] Epoch:[0/1](76800/112548) loss:2.408 lr:0.0000112 epoch_Time:224.0min: | |
| [2023-12-25 17:07:58,034][model5_pretrain.py][INFO] Epoch:[0/1](76900/112548) loss:1.680 lr:0.0000111 epoch_Time:224.0min: | |
| [2023-12-25 17:08:35,746][model5_pretrain.py][INFO] Epoch:[0/1](77000/112548) loss:2.815 lr:0.0000110 epoch_Time:223.0min: | |
| [2023-12-25 17:09:13,466][model5_pretrain.py][INFO] Epoch:[0/1](77100/112548) loss:3.068 lr:0.0000110 epoch_Time:223.0min: | |
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| [2023-12-25 17:10:28,904][model5_pretrain.py][INFO] Epoch:[0/1](77300/112548) loss:2.555 lr:0.0000108 epoch_Time:221.0min: | |
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| [2023-12-25 17:15:30,536][model5_pretrain.py][INFO] Epoch:[0/1](78100/112548) loss:2.392 lr:0.0000104 epoch_Time:216.0min: | |
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| [2023-12-25 17:18:39,126][model5_pretrain.py][INFO] Epoch:[0/1](78600/112548) loss:2.725 lr:0.0000102 epoch_Time:213.0min: | |
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| [2023-12-25 17:19:54,558][model5_pretrain.py][INFO] Epoch:[0/1](78800/112548) loss:2.573 lr:0.0000102 epoch_Time:212.0min: | |
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| [2023-12-25 18:03:23,680][model5_pretrain.py][INFO] Epoch:[0/1](85700/112548) loss:3.040 lr:0.0000100 epoch_Time:168.0min: | |
| [2023-12-25 18:04:01,394][model5_pretrain.py][INFO] Epoch:[0/1](85800/112548) loss:2.588 lr:0.0000100 epoch_Time:168.0min: | |
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| [2023-12-25 18:05:16,830][model5_pretrain.py][INFO] Epoch:[0/1](86000/112548) loss:2.500 lr:0.0000100 epoch_Time:167.0min: | |
| [2023-12-25 18:05:54,551][model5_pretrain.py][INFO] Epoch:[0/1](86100/112548) loss:2.392 lr:0.0000100 epoch_Time:166.0min: | |
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| [2023-12-25 18:07:47,885][model5_pretrain.py][INFO] Epoch:[0/1](86400/112548) loss:2.580 lr:0.0000100 epoch_Time:164.0min: | |
| [2023-12-25 18:08:25,558][model5_pretrain.py][INFO] Epoch:[0/1](86500/112548) loss:2.595 lr:0.0000100 epoch_Time:163.0min: | |
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| [2023-12-25 18:10:56,403][model5_pretrain.py][INFO] Epoch:[0/1](86900/112548) loss:2.663 lr:0.0000100 epoch_Time:161.0min: | |
| [2023-12-25 18:11:34,104][model5_pretrain.py][INFO] Epoch:[0/1](87000/112548) loss:2.771 lr:0.0000100 epoch_Time:160.0min: | |
| [2023-12-25 18:12:11,808][model5_pretrain.py][INFO] Epoch:[0/1](87100/112548) loss:2.267 lr:0.0000100 epoch_Time:160.0min: | |
| [2023-12-25 18:12:49,512][model5_pretrain.py][INFO] Epoch:[0/1](87200/112548) loss:3.444 lr:0.0000100 epoch_Time:159.0min: | |
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| [2023-12-25 18:14:04,939][model5_pretrain.py][INFO] Epoch:[0/1](87400/112548) loss:2.975 lr:0.0000100 epoch_Time:158.0min: | |
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| [2023-12-25 18:15:58,068][model5_pretrain.py][INFO] Epoch:[0/1](87700/112548) loss:2.422 lr:0.0000100 epoch_Time:156.0min: | |
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| [2023-12-25 18:17:51,219][model5_pretrain.py][INFO] Epoch:[0/1](88000/112548) loss:2.703 lr:0.0000100 epoch_Time:154.0min: | |
| [2023-12-25 18:18:28,935][model5_pretrain.py][INFO] Epoch:[0/1](88100/112548) loss:3.202 lr:0.0000100 epoch_Time:153.0min: | |
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| [2023-12-25 18:19:44,362][model5_pretrain.py][INFO] Epoch:[0/1](88300/112548) loss:2.101 lr:0.0000100 epoch_Time:152.0min: | |
| [2023-12-25 18:20:22,082][model5_pretrain.py][INFO] Epoch:[0/1](88400/112548) loss:2.846 lr:0.0000100 epoch_Time:151.0min: | |
| [2023-12-25 18:20:59,798][model5_pretrain.py][INFO] Epoch:[0/1](88500/112548) loss:2.428 lr:0.0000100 epoch_Time:151.0min: | |
| [2023-12-25 18:21:37,509][model5_pretrain.py][INFO] Epoch:[0/1](88600/112548) loss:2.646 lr:0.0000100 epoch_Time:150.0min: | |
| [2023-12-25 18:22:15,225][model5_pretrain.py][INFO] Epoch:[0/1](88700/112548) loss:2.629 lr:0.0000100 epoch_Time:150.0min: | |
| [2023-12-25 18:22:52,929][model5_pretrain.py][INFO] Epoch:[0/1](88800/112548) loss:2.740 lr:0.0000100 epoch_Time:149.0min: | |
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| [2023-12-25 18:24:08,359][model5_pretrain.py][INFO] Epoch:[0/1](89000/112548) loss:2.636 lr:0.0000100 epoch_Time:148.0min: | |
| [2023-12-25 18:24:46,080][model5_pretrain.py][INFO] Epoch:[0/1](89100/112548) loss:2.732 lr:0.0000100 epoch_Time:147.0min: | |
| [2023-12-25 18:25:23,803][model5_pretrain.py][INFO] Epoch:[0/1](89200/112548) loss:2.902 lr:0.0000100 epoch_Time:146.0min: | |
| [2023-12-25 18:26:01,522][model5_pretrain.py][INFO] Epoch:[0/1](89300/112548) loss:3.011 lr:0.0000100 epoch_Time:146.0min: | |
| [2023-12-25 18:26:39,242][model5_pretrain.py][INFO] Epoch:[0/1](89400/112548) loss:2.528 lr:0.0000100 epoch_Time:145.0min: | |
| [2023-12-25 18:27:16,955][model5_pretrain.py][INFO] Epoch:[0/1](89500/112548) loss:3.181 lr:0.0000100 epoch_Time:145.0min: | |
| [2023-12-25 18:27:54,679][model5_pretrain.py][INFO] Epoch:[0/1](89600/112548) loss:2.272 lr:0.0000100 epoch_Time:144.0min: | |
| [2023-12-25 18:28:32,385][model5_pretrain.py][INFO] Epoch:[0/1](89700/112548) loss:2.132 lr:0.0000100 epoch_Time:143.0min: | |
| [2023-12-25 18:29:10,093][model5_pretrain.py][INFO] Epoch:[0/1](89800/112548) loss:2.847 lr:0.0000100 epoch_Time:143.0min: | |
| [2023-12-25 18:29:47,807][model5_pretrain.py][INFO] Epoch:[0/1](89900/112548) loss:2.177 lr:0.0000100 epoch_Time:142.0min: | |
| [2023-12-25 18:30:25,528][model5_pretrain.py][INFO] Epoch:[0/1](90000/112548) loss:2.819 lr:0.0000100 epoch_Time:141.0min: | |
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| [2023-12-25 18:31:40,948][model5_pretrain.py][INFO] Epoch:[0/1](90200/112548) loss:2.609 lr:0.0000100 epoch_Time:140.0min: | |
| [2023-12-25 18:32:18,672][model5_pretrain.py][INFO] Epoch:[0/1](90300/112548) loss:2.464 lr:0.0000100 epoch_Time:139.0min: | |
| [2023-12-25 18:32:56,408][model5_pretrain.py][INFO] Epoch:[0/1](90400/112548) loss:2.728 lr:0.0000100 epoch_Time:139.0min: | |
| [2023-12-25 18:33:34,117][model5_pretrain.py][INFO] Epoch:[0/1](90500/112548) loss:2.762 lr:0.0000100 epoch_Time:138.0min: | |
| [2023-12-25 18:34:11,868][model5_pretrain.py][INFO] Epoch:[0/1](90600/112548) loss:2.484 lr:0.0000100 epoch_Time:138.0min: | |
| [2023-12-25 18:34:49,543][model5_pretrain.py][INFO] Epoch:[0/1](90700/112548) loss:2.597 lr:0.0000100 epoch_Time:137.0min: | |
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| [2023-12-25 18:36:04,965][model5_pretrain.py][INFO] Epoch:[0/1](90900/112548) loss:2.628 lr:0.0000100 epoch_Time:136.0min: | |
| [2023-12-25 18:36:42,673][model5_pretrain.py][INFO] Epoch:[0/1](91000/112548) loss:2.438 lr:0.0000100 epoch_Time:135.0min: | |
| [2023-12-25 18:37:20,395][model5_pretrain.py][INFO] Epoch:[0/1](91100/112548) loss:2.495 lr:0.0000100 epoch_Time:134.0min: | |
| [2023-12-25 18:37:58,104][model5_pretrain.py][INFO] Epoch:[0/1](91200/112548) loss:2.761 lr:0.0000100 epoch_Time:134.0min: | |
| [2023-12-25 18:38:35,819][model5_pretrain.py][INFO] Epoch:[0/1](91300/112548) loss:2.318 lr:0.0000100 epoch_Time:133.0min: | |
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| [2023-12-25 18:39:51,241][model5_pretrain.py][INFO] Epoch:[0/1](91500/112548) loss:2.919 lr:0.0000100 epoch_Time:132.0min: | |
| [2023-12-25 18:40:28,946][model5_pretrain.py][INFO] Epoch:[0/1](91600/112548) loss:2.426 lr:0.0000100 epoch_Time:131.0min: | |
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| [2023-12-25 18:42:22,079][model5_pretrain.py][INFO] Epoch:[0/1](91900/112548) loss:2.685 lr:0.0000100 epoch_Time:129.0min: | |
| [2023-12-25 18:42:59,833][model5_pretrain.py][INFO] Epoch:[0/1](92000/112548) loss:2.157 lr:0.0000100 epoch_Time:129.0min: | |
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| [2023-12-25 18:44:15,268][model5_pretrain.py][INFO] Epoch:[0/1](92200/112548) loss:2.474 lr:0.0000100 epoch_Time:128.0min: | |
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| [2023-12-25 18:46:08,428][model5_pretrain.py][INFO] Epoch:[0/1](92500/112548) loss:2.277 lr:0.0000100 epoch_Time:126.0min: | |
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| [2023-12-25 19:20:42,464][model5_pretrain.py][INFO] Epoch:[0/1](98000/112548) loss:3.001 lr:0.0000100 epoch_Time:91.0min: | |
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| [2023-12-25 19:21:57,869][model5_pretrain.py][INFO] Epoch:[0/1](98200/112548) loss:2.553 lr:0.0000100 epoch_Time:90.0min: | |
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| [2023-12-25 19:28:14,855][model5_pretrain.py][INFO] Epoch:[0/1](99200/112548) loss:3.071 lr:0.0000100 epoch_Time:84.0min: | |
| [2023-12-25 19:28:52,540][model5_pretrain.py][INFO] Epoch:[0/1](99300/112548) loss:2.660 lr:0.0000100 epoch_Time:83.0min: | |
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| [2023-12-25 19:30:45,642][model5_pretrain.py][INFO] Epoch:[0/1](99600/112548) loss:3.165 lr:0.0000100 epoch_Time:81.0min: | |
| [2023-12-25 19:31:23,339][model5_pretrain.py][INFO] Epoch:[0/1](99700/112548) loss:2.384 lr:0.0000100 epoch_Time:80.0min: | |
| [2023-12-25 19:32:01,038][model5_pretrain.py][INFO] Epoch:[0/1](99800/112548) loss:3.062 lr:0.0000100 epoch_Time:80.0min: | |
| [2023-12-25 19:32:38,742][model5_pretrain.py][INFO] Epoch:[0/1](99900/112548) loss:2.474 lr:0.0000100 epoch_Time:79.0min: | |
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| [2023-12-25 19:35:15,184][model5_pretrain.py][INFO] Epoch:[0/1](100300/112548) loss:2.436 lr:0.0000100 epoch_Time:78.0min: | |
| [2023-12-25 19:35:52,908][model5_pretrain.py][INFO] Epoch:[0/1](100400/112548) loss:2.462 lr:0.0000100 epoch_Time:77.0min: | |
| [2023-12-25 19:36:30,634][model5_pretrain.py][INFO] Epoch:[0/1](100500/112548) loss:2.388 lr:0.0000100 epoch_Time:76.0min: | |
| [2023-12-25 19:37:08,358][model5_pretrain.py][INFO] Epoch:[0/1](100600/112548) loss:2.533 lr:0.0000100 epoch_Time:76.0min: | |
| [2023-12-25 19:37:46,086][model5_pretrain.py][INFO] Epoch:[0/1](100700/112548) loss:2.696 lr:0.0000100 epoch_Time:75.0min: | |
| [2023-12-25 19:38:23,817][model5_pretrain.py][INFO] Epoch:[0/1](100800/112548) loss:3.879 lr:0.0000100 epoch_Time:74.0min: | |
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| [2023-12-25 19:39:39,263][model5_pretrain.py][INFO] Epoch:[0/1](101000/112548) loss:2.525 lr:0.0000100 epoch_Time:73.0min: | |
| [2023-12-25 19:40:16,992][model5_pretrain.py][INFO] Epoch:[0/1](101100/112548) loss:2.387 lr:0.0000100 epoch_Time:73.0min: | |
| [2023-12-25 19:40:54,717][model5_pretrain.py][INFO] Epoch:[0/1](101200/112548) loss:2.355 lr:0.0000100 epoch_Time:72.0min: | |
| [2023-12-25 19:41:32,440][model5_pretrain.py][INFO] Epoch:[0/1](101300/112548) loss:2.871 lr:0.0000100 epoch_Time:71.0min: | |
| [2023-12-25 19:42:10,171][model5_pretrain.py][INFO] Epoch:[0/1](101400/112548) loss:3.112 lr:0.0000100 epoch_Time:71.0min: | |
| [2023-12-25 19:42:47,894][model5_pretrain.py][INFO] Epoch:[0/1](101500/112548) loss:2.360 lr:0.0000100 epoch_Time:70.0min: | |
| [2023-12-25 19:43:25,615][model5_pretrain.py][INFO] Epoch:[0/1](101600/112548) loss:2.313 lr:0.0000100 epoch_Time:69.0min: | |
| [2023-12-25 19:44:03,335][model5_pretrain.py][INFO] Epoch:[0/1](101700/112548) loss:2.186 lr:0.0000100 epoch_Time:69.0min: | |
| [2023-12-25 19:44:41,050][model5_pretrain.py][INFO] Epoch:[0/1](101800/112548) loss:2.620 lr:0.0000100 epoch_Time:68.0min: | |
| [2023-12-25 19:45:18,780][model5_pretrain.py][INFO] Epoch:[0/1](101900/112548) loss:2.728 lr:0.0000100 epoch_Time:67.0min: | |
| [2023-12-25 19:45:56,504][model5_pretrain.py][INFO] Epoch:[0/1](102000/112548) loss:2.979 lr:0.0000100 epoch_Time:67.0min: | |
| [2023-12-25 19:46:34,233][model5_pretrain.py][INFO] Epoch:[0/1](102100/112548) loss:2.120 lr:0.0000100 epoch_Time:66.0min: | |
| [2023-12-25 19:47:11,950][model5_pretrain.py][INFO] Epoch:[0/1](102200/112548) loss:2.719 lr:0.0000100 epoch_Time:65.0min: | |
| [2023-12-25 19:47:49,666][model5_pretrain.py][INFO] Epoch:[0/1](102300/112548) loss:2.349 lr:0.0000100 epoch_Time:64.0min: | |
| [2023-12-25 19:48:27,378][model5_pretrain.py][INFO] Epoch:[0/1](102400/112548) loss:3.185 lr:0.0000100 epoch_Time:63.0min: | |
| [2023-12-25 19:49:05,111][model5_pretrain.py][INFO] Epoch:[0/1](102500/112548) loss:2.485 lr:0.0000100 epoch_Time:63.0min: | |
| [2023-12-25 19:49:42,835][model5_pretrain.py][INFO] Epoch:[0/1](102600/112548) loss:2.754 lr:0.0000100 epoch_Time:62.0min: | |
| [2023-12-25 19:50:20,568][model5_pretrain.py][INFO] Epoch:[0/1](102700/112548) loss:2.318 lr:0.0000100 epoch_Time:61.0min: | |
| [2023-12-25 19:50:58,301][model5_pretrain.py][INFO] Epoch:[0/1](102800/112548) loss:2.573 lr:0.0000100 epoch_Time:61.0min: | |
| [2023-12-25 19:51:36,035][model5_pretrain.py][INFO] Epoch:[0/1](102900/112548) loss:2.699 lr:0.0000100 epoch_Time:60.0min: | |
| [2023-12-25 19:52:13,769][model5_pretrain.py][INFO] Epoch:[0/1](103000/112548) loss:2.632 lr:0.0000100 epoch_Time:60.0min: | |
| [2023-12-25 19:52:51,492][model5_pretrain.py][INFO] Epoch:[0/1](103100/112548) loss:2.837 lr:0.0000100 epoch_Time:59.0min: | |
| [2023-12-25 19:53:29,213][model5_pretrain.py][INFO] Epoch:[0/1](103200/112548) loss:2.390 lr:0.0000100 epoch_Time:58.0min: | |
| [2023-12-25 19:54:06,939][model5_pretrain.py][INFO] Epoch:[0/1](103300/112548) loss:2.519 lr:0.0000100 epoch_Time:58.0min: | |
| [2023-12-25 19:54:44,654][model5_pretrain.py][INFO] Epoch:[0/1](103400/112548) loss:2.889 lr:0.0000100 epoch_Time:57.0min: | |
| [2023-12-25 19:55:22,372][model5_pretrain.py][INFO] Epoch:[0/1](103500/112548) loss:2.586 lr:0.0000100 epoch_Time:56.0min: | |
| [2023-12-25 19:56:00,092][model5_pretrain.py][INFO] Epoch:[0/1](103600/112548) loss:2.464 lr:0.0000100 epoch_Time:56.0min: | |
| [2023-12-25 19:56:37,810][model5_pretrain.py][INFO] Epoch:[0/1](103700/112548) loss:2.329 lr:0.0000100 epoch_Time:55.0min: | |
| [2023-12-25 19:57:15,537][model5_pretrain.py][INFO] Epoch:[0/1](103800/112548) loss:2.700 lr:0.0000100 epoch_Time:55.0min: | |
| [2023-12-25 19:57:53,267][model5_pretrain.py][INFO] Epoch:[0/1](103900/112548) loss:2.713 lr:0.0000100 epoch_Time:54.0min: | |
| [2023-12-25 19:58:31,046][model5_pretrain.py][INFO] Epoch:[0/1](104000/112548) loss:2.238 lr:0.0000100 epoch_Time:53.0min: | |
| [2023-12-25 19:59:08,842][model5_pretrain.py][INFO] Epoch:[0/1](104100/112548) loss:2.752 lr:0.0000100 epoch_Time:53.0min: | |
| [2023-12-25 19:59:46,575][model5_pretrain.py][INFO] Epoch:[0/1](104200/112548) loss:2.676 lr:0.0000100 epoch_Time:52.0min: | |
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| [2023-12-25 20:01:02,035][model5_pretrain.py][INFO] Epoch:[0/1](104400/112548) loss:2.831 lr:0.0000100 epoch_Time:51.0min: | |
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| [2023-12-25 20:02:17,505][model5_pretrain.py][INFO] Epoch:[0/1](104600/112548) loss:3.038 lr:0.0000100 epoch_Time:49.0min: | |
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| [2023-12-25 20:04:10,860][model5_pretrain.py][INFO] Epoch:[0/1](104900/112548) loss:3.136 lr:0.0000100 epoch_Time:48.0min: | |
| [2023-12-25 20:04:48,633][model5_pretrain.py][INFO] Epoch:[0/1](105000/112548) loss:2.287 lr:0.0000100 epoch_Time:47.0min: | |
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| [2023-12-25 20:11:43,694][model5_pretrain.py][INFO] Epoch:[0/1](106100/112548) loss:2.535 lr:0.0000100 epoch_Time:40.0min: | |
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| [2023-12-25 20:29:57,753][model5_pretrain.py][INFO] Epoch:[0/1](109000/112548) loss:2.913 lr:0.0000100 epoch_Time:22.0min: | |
| [2023-12-25 20:30:35,478][model5_pretrain.py][INFO] Epoch:[0/1](109100/112548) loss:2.679 lr:0.0000100 epoch_Time:21.0min: | |
| [2023-12-25 20:31:13,290][model5_pretrain.py][INFO] Epoch:[0/1](109200/112548) loss:2.989 lr:0.0000100 epoch_Time:21.0min: | |
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| [2023-12-25 20:35:37,346][model5_pretrain.py][INFO] Epoch:[0/1](109900/112548) loss:2.413 lr:0.0000100 epoch_Time:16.0min: | |
| [2023-12-25 20:36:15,070][model5_pretrain.py][INFO] Epoch:[0/1](110000/112548) loss:2.522 lr:0.0000100 epoch_Time:16.0min: | |
| [2023-12-25 20:36:52,780][model5_pretrain.py][INFO] Epoch:[0/1](110100/112548) loss:2.433 lr:0.0000100 epoch_Time:15.0min: | |
| [2023-12-25 20:37:30,501][model5_pretrain.py][INFO] Epoch:[0/1](110200/112548) loss:2.853 lr:0.0000100 epoch_Time:14.0min: | |
| [2023-12-25 20:38:08,221][model5_pretrain.py][INFO] Epoch:[0/1](110300/112548) loss:2.486 lr:0.0000100 epoch_Time:14.0min: | |
| [2023-12-25 20:38:45,945][model5_pretrain.py][INFO] Epoch:[0/1](110400/112548) loss:2.451 lr:0.0000100 epoch_Time:13.0min: | |
| [2023-12-25 20:39:23,664][model5_pretrain.py][INFO] Epoch:[0/1](110500/112548) loss:3.050 lr:0.0000100 epoch_Time:12.0min: | |
| [2023-12-25 20:40:01,382][model5_pretrain.py][INFO] Epoch:[0/1](110600/112548) loss:3.025 lr:0.0000100 epoch_Time:12.0min: | |
| [2023-12-25 20:40:39,113][model5_pretrain.py][INFO] Epoch:[0/1](110700/112548) loss:2.725 lr:0.0000100 epoch_Time:11.0min: | |
| [2023-12-25 20:41:16,840][model5_pretrain.py][INFO] Epoch:[0/1](110800/112548) loss:2.089 lr:0.0000100 epoch_Time:11.0min: | |
| [2023-12-25 20:41:54,562][model5_pretrain.py][INFO] Epoch:[0/1](110900/112548) loss:2.659 lr:0.0000100 epoch_Time:10.0min: | |
| [2023-12-25 20:42:32,290][model5_pretrain.py][INFO] Epoch:[0/1](111000/112548) loss:2.447 lr:0.0000100 epoch_Time:9.0min: | |
| [2023-12-25 20:43:10,024][model5_pretrain.py][INFO] Epoch:[0/1](111100/112548) loss:2.109 lr:0.0000100 epoch_Time:9.0min: | |
| [2023-12-25 20:43:47,751][model5_pretrain.py][INFO] Epoch:[0/1](111200/112548) loss:2.149 lr:0.0000100 epoch_Time:8.0min: | |
| [2023-12-25 20:44:25,471][model5_pretrain.py][INFO] Epoch:[0/1](111300/112548) loss:2.510 lr:0.0000100 epoch_Time:7.0min: | |
| [2023-12-25 20:45:03,191][model5_pretrain.py][INFO] Epoch:[0/1](111400/112548) loss:2.999 lr:0.0000100 epoch_Time:7.0min: | |
| [2023-12-25 20:45:40,923][model5_pretrain.py][INFO] Epoch:[0/1](111500/112548) loss:2.513 lr:0.0000100 epoch_Time:6.0min: | |
| [2023-12-25 20:46:18,658][model5_pretrain.py][INFO] Epoch:[0/1](111600/112548) loss:2.370 lr:0.0000100 epoch_Time:5.0min: | |
| [2023-12-25 20:46:56,385][model5_pretrain.py][INFO] Epoch:[0/1](111700/112548) loss:2.737 lr:0.0000100 epoch_Time:5.0min: | |
| [2023-12-25 20:47:34,108][model5_pretrain.py][INFO] Epoch:[0/1](111800/112548) loss:2.619 lr:0.0000100 epoch_Time:4.0min: | |
| [2023-12-25 20:48:11,836][model5_pretrain.py][INFO] Epoch:[0/1](111900/112548) loss:3.082 lr:0.0000100 epoch_Time:4.0min: | |
| [2023-12-25 20:48:49,566][model5_pretrain.py][INFO] Epoch:[0/1](112000/112548) loss:2.275 lr:0.0000100 epoch_Time:3.0min: | |
| [2023-12-25 20:49:27,292][model5_pretrain.py][INFO] Epoch:[0/1](112100/112548) loss:2.723 lr:0.0000100 epoch_Time:2.0min: | |
| [2023-12-25 20:50:05,025][model5_pretrain.py][INFO] Epoch:[0/1](112200/112548) loss:2.343 lr:0.0000100 epoch_Time:2.0min: | |
| [2023-12-25 20:50:42,736][model5_pretrain.py][INFO] Epoch:[0/1](112300/112548) loss:2.203 lr:0.0000100 epoch_Time:1.0min: | |
| [2023-12-25 20:51:20,466][model5_pretrain.py][INFO] Epoch:[0/1](112400/112548) loss:2.854 lr:0.0000100 epoch_Time:0.0min: | |
| [2023-12-25 20:51:58,163][model5_pretrain.py][INFO] Epoch:[0/1](112500/112548) loss:3.296 lr:0.0000100 epoch_Time:0.0min: | |
| 112100/112548) loss:2.652 lr:0.0000100 epoch_Time:2.0min: | |
| [2023-12-25 20:50:05,025][model5_pretrain.py][INFO] Epoch:[0/1](112200/112548) loss:2.942 lr:0.0000100 epoch_Time:2.0min: | |
| [2023-12-25 20:50:42,735][model5_pretrain.py][INFO] Epoch:[0/1](112300/112548) loss:2.539 lr:0.0000100 epoch_Time:1.0min: | |
| [2023-12-25 20:51:20,465][model5_pretrain.py][INFO] Epoch:[0/1](112400/112548) loss:2.428 lr:0.0000100 epoch_Time:0.0min: | |
| [2023-12-25 20:51:58,163][model5_pretrain.py][INFO] Epoch:[0/1](112500/112548) loss:2.316 lr:0.0000100 epoch_Time:0.0min: | |