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[2023-10-23 11:23:11,898::train::INFO] [train] Iter 570181 | loss 0.5222 | loss(rot) 0.1440 | loss(pos) 0.2232 | loss(seq) 0.1550 | grad 4.0795 | lr 0.0000 | time_forward 3.5440 | time_backward 6.2510 |
[2023-10-23 11:23:17,230::train::INFO] [train] Iter 570182 | loss 0.3391 | loss(rot) 0.0329 | loss(pos) 0.0193 | loss(seq) 0.2869 | grad 1.7064 | lr 0.0000 | time_forward 2.4810 | time_backward 2.8490 |
[2023-10-23 11:23:19,852::train::INFO] [train] Iter 570183 | loss 0.1409 | loss(rot) 0.1225 | loss(pos) 0.0157 | loss(seq) 0.0027 | grad 1.8710 | lr 0.0000 | time_forward 1.2400 | time_backward 1.3770 |
[2023-10-23 11:23:23,364::train::INFO] [train] Iter 570184 | loss 1.6341 | loss(rot) 1.0144 | loss(pos) 0.1689 | loss(seq) 0.4508 | grad 6.9895 | lr 0.0000 | time_forward 1.6980 | time_backward 1.8120 |
[2023-10-23 11:23:30,913::train::INFO] [train] Iter 570185 | loss 0.3988 | loss(rot) 0.0666 | loss(pos) 0.0156 | loss(seq) 0.3166 | grad 2.1857 | lr 0.0000 | time_forward 3.2990 | time_backward 4.2460 |
[2023-10-23 11:23:37,372::train::INFO] [train] Iter 570186 | loss 0.3350 | loss(rot) 0.0740 | loss(pos) 0.0712 | loss(seq) 0.1897 | grad 2.8634 | lr 0.0000 | time_forward 2.5100 | time_backward 3.9320 |
[2023-10-23 11:23:40,193::train::INFO] [train] Iter 570187 | loss 0.3880 | loss(rot) 0.3264 | loss(pos) 0.0282 | loss(seq) 0.0334 | grad 16.1665 | lr 0.0000 | time_forward 1.4750 | time_backward 1.3290 |
[2023-10-23 11:23:48,315::train::INFO] [train] Iter 570188 | loss 0.4455 | loss(rot) 0.2422 | loss(pos) 0.0336 | loss(seq) 0.1696 | grad 3.5385 | lr 0.0000 | time_forward 3.5180 | time_backward 4.6020 |
[2023-10-23 11:23:54,893::train::INFO] [train] Iter 570189 | loss 0.3933 | loss(rot) 0.0744 | loss(pos) 0.2961 | loss(seq) 0.0228 | grad 4.3212 | lr 0.0000 | time_forward 2.7590 | time_backward 3.8160 |
[2023-10-23 11:24:15,222::train::INFO] [train] Iter 570190 | loss 0.3745 | loss(rot) 0.1361 | loss(pos) 0.0321 | loss(seq) 0.2062 | grad 2.9873 | lr 0.0000 | time_forward 11.2460 | time_backward 9.0790 |
[2023-10-23 11:24:17,986::train::INFO] [train] Iter 570191 | loss 0.2058 | loss(rot) 0.1848 | loss(pos) 0.0209 | loss(seq) 0.0001 | grad 3.3156 | lr 0.0000 | time_forward 1.3530 | time_backward 1.4080 |
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