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[2023-10-23 13:02:53,894::train::INFO] [train] Iter 571080 | loss 1.1000 | loss(rot) 0.6336 | loss(pos) 0.0365 | loss(seq) 0.4298 | grad 3.2323 | lr 0.0000 | time_forward 3.9170 | time_backward 5.3350 |
[2023-10-23 13:02:56,664::train::INFO] [train] Iter 571081 | loss 0.6060 | loss(rot) 0.2415 | loss(pos) 0.2004 | loss(seq) 0.1641 | grad 3.1683 | lr 0.0000 | time_forward 1.3850 | time_backward 1.3810 |
[2023-10-23 13:02:59,397::train::INFO] [train] Iter 571082 | loss 0.6104 | loss(rot) 0.1350 | loss(pos) 0.1783 | loss(seq) 0.2970 | grad 4.8692 | lr 0.0000 | time_forward 1.3270 | time_backward 1.4020 |
[2023-10-23 13:03:08,196::train::INFO] [train] Iter 571083 | loss 0.2611 | loss(rot) 0.0958 | loss(pos) 0.0670 | loss(seq) 0.0983 | grad 2.0855 | lr 0.0000 | time_forward 3.5950 | time_backward 5.2010 |
[2023-10-23 13:03:15,834::train::INFO] [train] Iter 571084 | loss 1.6483 | loss(rot) 1.1090 | loss(pos) 0.1818 | loss(seq) 0.3576 | grad 10.8156 | lr 0.0000 | time_forward 3.3180 | time_backward 4.3170 |
[2023-10-23 13:03:18,542::train::INFO] [train] Iter 571085 | loss 0.4766 | loss(rot) 0.0715 | loss(pos) 0.0933 | loss(seq) 0.3118 | grad 3.6969 | lr 0.0000 | time_forward 1.2740 | time_backward 1.4300 |
[2023-10-23 13:03:26,899::train::INFO] [train] Iter 571086 | loss 0.5643 | loss(rot) 0.2702 | loss(pos) 0.0264 | loss(seq) 0.2676 | grad 3.7917 | lr 0.0000 | time_forward 3.4600 | time_backward 4.8940 |
[2023-10-23 13:03:29,869::train::INFO] [train] Iter 571087 | loss 0.7682 | loss(rot) 0.2923 | loss(pos) 0.1371 | loss(seq) 0.3387 | grad 3.9185 | lr 0.0000 | time_forward 1.3360 | time_backward 1.6310 |
[2023-10-23 13:03:34,133::train::INFO] [train] Iter 571088 | loss 0.2314 | loss(rot) 0.1820 | loss(pos) 0.0397 | loss(seq) 0.0096 | grad 2.9508 | lr 0.0000 | time_forward 1.9710 | time_backward 2.2890 |
[2023-10-23 13:03:41,028::train::INFO] [train] Iter 571089 | loss 1.5613 | loss(rot) 0.1466 | loss(pos) 1.4132 | loss(seq) 0.0015 | grad 10.0028 | lr 0.0000 | time_forward 2.9380 | time_backward 3.9540 |
[2023-10-23 13:03:43,923::train::INFO] [train] Iter 571090 | loss 0.8506 | loss(rot) 0.1996 | loss(pos) 0.0376 | loss(seq) 0.6134 | grad 3.3552 | lr 0.0000 | time_forward 1.3310 | time_backward 1.5190 |
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