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[2023-09-03 01:18:14,957::train::INFO] [train] Iter 16268 | loss 0.8667 | loss(rot) 0.7199 | loss(pos) 0.1462 | loss(seq) 0.0007 | grad 5.2774 | lr 0.0010 | time_forward 1.2290 | time_backward 1.3720 |
[2023-09-03 01:18:20,498::train::INFO] [train] Iter 16269 | loss 1.1084 | loss(rot) 0.9527 | loss(pos) 0.0900 | loss(seq) 0.0657 | grad 4.6172 | lr 0.0010 | time_forward 2.2750 | time_backward 3.2640 |
[2023-09-03 01:18:29,581::train::INFO] [train] Iter 16270 | loss 1.3006 | loss(rot) 1.1109 | loss(pos) 0.1853 | loss(seq) 0.0045 | grad 4.7098 | lr 0.0010 | time_forward 3.6820 | time_backward 5.3970 |
[2023-09-03 01:18:37,455::train::INFO] [train] Iter 16271 | loss 0.7058 | loss(rot) 0.1289 | loss(pos) 0.3175 | loss(seq) 0.2594 | grad 3.7168 | lr 0.0010 | time_forward 3.3910 | time_backward 4.4800 |
[2023-09-03 01:18:45,789::train::INFO] [train] Iter 16272 | loss 1.2256 | loss(rot) 0.1422 | loss(pos) 0.9281 | loss(seq) 0.1554 | grad 6.2009 | lr 0.0010 | time_forward 3.5930 | time_backward 4.7370 |
[2023-09-03 01:18:54,662::train::INFO] [train] Iter 16273 | loss 1.4255 | loss(rot) 0.2600 | loss(pos) 1.1448 | loss(seq) 0.0207 | grad 6.9215 | lr 0.0010 | time_forward 3.7470 | time_backward 5.1230 |
[2023-09-03 01:18:57,894::train::INFO] [train] Iter 16274 | loss 1.1501 | loss(rot) 0.9678 | loss(pos) 0.1665 | loss(seq) 0.0158 | grad 4.2212 | lr 0.0010 | time_forward 1.3740 | time_backward 1.8540 |
[2023-09-03 01:19:00,619::train::INFO] [train] Iter 16275 | loss 0.8468 | loss(rot) 0.3252 | loss(pos) 0.2444 | loss(seq) 0.2772 | grad 3.4133 | lr 0.0010 | time_forward 1.2870 | time_backward 1.4340 |
[2023-09-03 01:19:08,385::train::INFO] [train] Iter 16276 | loss 1.4840 | loss(rot) 0.6216 | loss(pos) 0.3994 | loss(seq) 0.4630 | grad 5.4333 | lr 0.0010 | time_forward 3.2920 | time_backward 4.4700 |
[2023-09-03 01:19:17,534::train::INFO] [train] Iter 16277 | loss 0.9397 | loss(rot) 0.4105 | loss(pos) 0.4878 | loss(seq) 0.0414 | grad 3.1427 | lr 0.0010 | time_forward 3.9430 | time_backward 5.2020 |
[2023-09-03 01:19:25,226::train::INFO] [train] Iter 16278 | loss 1.8443 | loss(rot) 1.0173 | loss(pos) 0.3016 | loss(seq) 0.5255 | grad 5.9937 | lr 0.0010 | time_forward 3.2080 | time_backward 4.4810 |
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