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[2023-10-22 15:18:52,052::train::INFO] [train] Iter 558995 | loss 0.4041 | loss(rot) 0.2312 | loss(pos) 0.0202 | loss(seq) 0.1526 | grad 2.0730 | lr 0.0000 | time_forward 1.0450 | time_backward 1.2390
[2023-10-22 15:19:01,853::train::INFO] [train] Iter 558996 | loss 0.3134 | loss(rot) 0.2851 | loss(pos) 0.0224 | loss(seq) 0.0059 | grad 3.1691 | lr 0.0000 | time_forward 3.9320 | time_backward 5.8650
[2023-10-22 15:19:05,011::train::INFO] [train] Iter 558997 | loss 0.3093 | loss(rot) 0.0463 | loss(pos) 0.2228 | loss(seq) 0.0402 | grad 5.2408 | lr 0.0000 | time_forward 1.5190 | time_backward 1.6350
[2023-10-22 15:19:13,773::train::INFO] [train] Iter 558998 | loss 0.6880 | loss(rot) 0.6744 | loss(pos) 0.0128 | loss(seq) 0.0007 | grad 24.5618 | lr 0.0000 | time_forward 3.6830 | time_backward 5.0280
[2023-10-22 15:19:24,571::train::INFO] [train] Iter 558999 | loss 0.7996 | loss(rot) 0.7563 | loss(pos) 0.0433 | loss(seq) 0.0001 | grad 17.1728 | lr 0.0000 | time_forward 4.4870 | time_backward 6.3080
[2023-10-22 15:19:27,500::train::INFO] [train] Iter 559000 | loss 1.6313 | loss(rot) 1.0808 | loss(pos) 0.2655 | loss(seq) 0.2850 | grad 4.0275 | lr 0.0000 | time_forward 1.3730 | time_backward 1.5510
[2023-10-22 15:20:18,911::train::INFO] [val] Iter 559000 | loss 1.2936 | loss(rot) 0.6879 | loss(pos) 0.3602 | loss(seq) 0.2455
[2023-10-22 15:20:28,151::train::INFO] [train] Iter 559001 | loss 0.5482 | loss(rot) 0.1154 | loss(pos) 0.2441 | loss(seq) 0.1886 | grad 5.2059 | lr 0.0000 | time_forward 3.6510 | time_backward 5.2140
[2023-10-22 15:20:38,358::train::INFO] [train] Iter 559002 | loss 1.0702 | loss(rot) 1.0531 | loss(pos) 0.0096 | loss(seq) 0.0075 | grad 6.2937 | lr 0.0000 | time_forward 4.0540 | time_backward 6.1490