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[2023-10-24 12:16:22,323::train::INFO] [train] Iter 583068 | loss 0.5563 | loss(rot) 0.4980 | loss(pos) 0.0338 | loss(seq) 0.0246 | grad 3.6024 | lr 0.0000 | time_forward 3.7960 | time_backward 5.0090 |
[2023-10-24 12:16:32,154::train::INFO] [train] Iter 583069 | loss 0.5427 | loss(rot) 0.3229 | loss(pos) 0.0400 | loss(seq) 0.1798 | grad 26.3983 | lr 0.0000 | time_forward 3.9940 | time_backward 5.8350 |
[2023-10-24 12:16:40,009::train::INFO] [train] Iter 583070 | loss 0.3173 | loss(rot) 0.0800 | loss(pos) 0.0434 | loss(seq) 0.1939 | grad 2.6736 | lr 0.0000 | time_forward 3.3100 | time_backward 4.5410 |
[2023-10-24 12:16:42,722::train::INFO] [train] Iter 583071 | loss 0.3756 | loss(rot) 0.1584 | loss(pos) 0.0165 | loss(seq) 0.2007 | grad 2.5383 | lr 0.0000 | time_forward 1.2880 | time_backward 1.4220 |
[2023-10-24 12:16:46,177::train::INFO] [train] Iter 583072 | loss 1.4255 | loss(rot) 1.1496 | loss(pos) 0.0798 | loss(seq) 0.1961 | grad 5.5427 | lr 0.0000 | time_forward 1.5200 | time_backward 1.9320 |
[2023-10-24 12:16:54,560::train::INFO] [train] Iter 583073 | loss 0.3679 | loss(rot) 0.1647 | loss(pos) 0.0555 | loss(seq) 0.1477 | grad 3.5226 | lr 0.0000 | time_forward 3.5380 | time_backward 4.8430 |
[2023-10-24 12:16:57,363::train::INFO] [train] Iter 583074 | loss 0.3870 | loss(rot) 0.1262 | loss(pos) 0.2085 | loss(seq) 0.0523 | grad 3.5436 | lr 0.0000 | time_forward 1.3390 | time_backward 1.4610 |
[2023-10-24 12:17:06,546::train::INFO] [train] Iter 583075 | loss 0.3424 | loss(rot) 0.0983 | loss(pos) 0.0224 | loss(seq) 0.2217 | grad 1.9043 | lr 0.0000 | time_forward 3.8970 | time_backward 5.2820 |
[2023-10-24 12:17:16,140::train::INFO] [train] Iter 583076 | loss 0.2983 | loss(rot) 0.1036 | loss(pos) 0.1789 | loss(seq) 0.0158 | grad 3.1255 | lr 0.0000 | time_forward 4.0690 | time_backward 5.5220 |
[2023-10-24 12:17:27,574::train::INFO] [train] Iter 583077 | loss 0.3504 | loss(rot) 0.1518 | loss(pos) 0.0353 | loss(seq) 0.1634 | grad 2.9069 | lr 0.0000 | time_forward 4.6530 | time_backward 6.7790 |
[2023-10-24 12:17:30,743::train::INFO] [train] Iter 583078 | loss 0.8598 | loss(rot) 0.2428 | loss(pos) 0.2178 | loss(seq) 0.3992 | grad 3.1594 | lr 0.0000 | time_forward 1.5130 | time_backward 1.6530 |
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