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[2023-10-24 13:54:25,638::train::INFO] [train] Iter 583870 | loss 0.2004 | loss(rot) 0.0628 | loss(pos) 0.0141 | loss(seq) 0.1236 | grad 2.0304 | lr 0.0000 | time_forward 1.3320 | time_backward 1.4080
[2023-10-24 13:54:28,481::train::INFO] [train] Iter 583871 | loss 0.5979 | loss(rot) 0.2243 | loss(pos) 0.0811 | loss(seq) 0.2925 | grad 2.8305 | lr 0.0000 | time_forward 1.3640 | time_backward 1.4340
[2023-10-24 13:54:38,904::train::INFO] [train] Iter 583872 | loss 2.0307 | loss(rot) 1.9634 | loss(pos) 0.0531 | loss(seq) 0.0142 | grad 3.2478 | lr 0.0000 | time_forward 4.3400 | time_backward 6.0810
[2023-10-24 13:54:41,669::train::INFO] [train] Iter 583873 | loss 1.0591 | loss(rot) 1.0178 | loss(pos) 0.0375 | loss(seq) 0.0038 | grad 14.5750 | lr 0.0000 | time_forward 1.3270 | time_backward 1.4350
[2023-10-24 13:54:45,200::train::INFO] [train] Iter 583874 | loss 2.1584 | loss(rot) 1.7808 | loss(pos) 0.1374 | loss(seq) 0.2402 | grad 3.9497 | lr 0.0000 | time_forward 1.5640 | time_backward 1.9640
[2023-10-24 13:54:47,978::train::INFO] [train] Iter 583875 | loss 0.8191 | loss(rot) 0.0320 | loss(pos) 0.7724 | loss(seq) 0.0147 | grad 7.6474 | lr 0.0000 | time_forward 1.3320 | time_backward 1.4230
[2023-10-24 13:54:57,853::train::INFO] [train] Iter 583876 | loss 0.6754 | loss(rot) 0.3013 | loss(pos) 0.3464 | loss(seq) 0.0277 | grad 4.9460 | lr 0.0000 | time_forward 3.9950 | time_backward 5.8450
[2023-10-24 13:55:06,592::train::INFO] [train] Iter 583877 | loss 0.3428 | loss(rot) 0.3005 | loss(pos) 0.0286 | loss(seq) 0.0137 | grad 1.8706 | lr 0.0000 | time_forward 3.6830 | time_backward 5.0520
[2023-10-24 13:55:15,052::train::INFO] [train] Iter 583878 | loss 0.5109 | loss(rot) 0.1927 | loss(pos) 0.0776 | loss(seq) 0.2407 | grad 3.0183 | lr 0.0000 | time_forward 3.5730 | time_backward 4.8840