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[2023-10-24 08:50:58,263::train::INFO] [train] Iter 581370 | loss 0.7261 | loss(rot) 0.6950 | loss(pos) 0.0282 | loss(seq) 0.0029 | grad 4.4094 | lr 0.0000 | time_forward 3.6610 | time_backward 5.0460 |
[2023-10-24 08:51:06,616::train::INFO] [train] Iter 581371 | loss 1.1016 | loss(rot) 0.8065 | loss(pos) 0.0518 | loss(seq) 0.2432 | grad 3.6110 | lr 0.0000 | time_forward 3.5550 | time_backward 4.7960 |
[2023-10-24 08:51:15,293::train::INFO] [train] Iter 581372 | loss 0.2386 | loss(rot) 0.1163 | loss(pos) 0.0360 | loss(seq) 0.0863 | grad 2.2445 | lr 0.0000 | time_forward 3.6210 | time_backward 5.0530 |
[2023-10-24 08:51:18,001::train::INFO] [train] Iter 581373 | loss 0.3587 | loss(rot) 0.3178 | loss(pos) 0.0326 | loss(seq) 0.0084 | grad 80.7882 | lr 0.0000 | time_forward 1.3060 | time_backward 1.3980 |
[2023-10-24 08:51:27,090::train::INFO] [train] Iter 581374 | loss 0.2757 | loss(rot) 0.1435 | loss(pos) 0.0116 | loss(seq) 0.1206 | grad 2.4710 | lr 0.0000 | time_forward 3.9230 | time_backward 5.1630 |
[2023-10-24 08:51:36,152::train::INFO] [train] Iter 581375 | loss 0.6652 | loss(rot) 0.1650 | loss(pos) 0.1029 | loss(seq) 0.3974 | grad 3.5118 | lr 0.0000 | time_forward 3.8500 | time_backward 5.2090 |
[2023-10-24 08:51:45,166::train::INFO] [train] Iter 581376 | loss 1.4110 | loss(rot) 1.2858 | loss(pos) 0.0486 | loss(seq) 0.0767 | grad 3.3449 | lr 0.0000 | time_forward 3.8100 | time_backward 5.2000 |
[2023-10-24 08:51:48,013::train::INFO] [train] Iter 581377 | loss 0.2885 | loss(rot) 0.1173 | loss(pos) 0.1532 | loss(seq) 0.0181 | grad 4.0310 | lr 0.0000 | time_forward 1.3370 | time_backward 1.5070 |
[2023-10-24 08:51:56,924::train::INFO] [train] Iter 581378 | loss 0.3771 | loss(rot) 0.0406 | loss(pos) 0.3328 | loss(seq) 0.0037 | grad 6.2590 | lr 0.0000 | time_forward 3.7420 | time_backward 5.1650 |
[2023-10-24 08:52:06,605::train::INFO] [train] Iter 581379 | loss 0.3632 | loss(rot) 0.3058 | loss(pos) 0.0394 | loss(seq) 0.0180 | grad 2.2986 | lr 0.0000 | time_forward 3.8880 | time_backward 5.7900 |
[2023-10-24 08:52:14,514::train::INFO] [train] Iter 581380 | loss 1.6010 | loss(rot) 1.0456 | loss(pos) 0.2234 | loss(seq) 0.3320 | grad 6.4169 | lr 0.0000 | time_forward 3.2860 | time_backward 4.6200 |
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