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[2023-09-02 08:35:22,375::train::INFO] [val] Iter 08000 | loss 2.1873 | loss(rot) 1.4027 | loss(pos) 0.5253 | loss(seq) 0.2594 |
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[2023-09-02 08:44:44,942::train::INFO] [train] Iter 08076 | loss 2.0338 | loss(rot) 1.4740 | loss(pos) 0.2084 | loss(seq) 0.3514 | grad 6.4532 | lr 0.0010 | time_forward 3.5880 | time_backward 4.9340 |
[2023-09-02 08:44:52,446::train::INFO] [train] Iter 08077 | loss 1.4203 | loss(rot) 0.4185 | loss(pos) 0.4582 | loss(seq) 0.5436 | grad 4.3849 | lr 0.0010 | time_forward 3.1250 | time_backward 4.3750 |
[2023-09-02 08:45:02,543::train::INFO] [train] Iter 08078 | loss 1.6762 | loss(rot) 1.5603 | loss(pos) 0.0690 | loss(seq) 0.0468 | grad 5.4054 | lr 0.0010 | time_forward 4.1630 | time_backward 5.9300 |
[2023-09-02 08:45:10,061::train::INFO] [train] Iter 08079 | loss 1.5423 | loss(rot) 1.3410 | loss(pos) 0.0743 | loss(seq) 0.1271 | grad 6.0648 | lr 0.0010 | time_forward 3.2360 | time_backward 4.2790 |
[2023-09-02 08:45:18,375::train::INFO] [train] Iter 08080 | loss 1.0232 | loss(rot) 0.3687 | loss(pos) 0.3576 | loss(seq) 0.2969 | grad 4.3176 | lr 0.0010 | time_forward 3.6370 | time_backward 4.6730 |
[2023-09-02 08:45:26,754::train::INFO] [train] Iter 08081 | loss 1.2049 | loss(rot) 0.6133 | loss(pos) 0.1360 | loss(seq) 0.4556 | grad 4.2786 | lr 0.0010 | time_forward 3.4610 | time_backward 4.9130 |
[2023-09-02 08:45:35,004::train::INFO] [train] Iter 08082 | loss 1.4337 | loss(rot) 0.7318 | loss(pos) 0.4188 | loss(seq) 0.2831 | grad 5.4804 | lr 0.0010 | time_forward 3.4500 | time_backward 4.7970 |
[2023-09-02 08:45:42,423::train::INFO] [train] Iter 08083 | loss 2.1219 | loss(rot) 0.9732 | loss(pos) 0.5672 | loss(seq) 0.5816 | grad 5.8371 | lr 0.0010 | time_forward 3.1680 | time_backward 4.2470 |
[2023-09-02 08:45:50,872::train::INFO] [train] Iter 08084 | loss 0.6246 | loss(rot) 0.0902 | loss(pos) 0.5034 | loss(seq) 0.0310 | grad 2.7732 | lr 0.0010 | time_forward 3.5630 | time_backward 4.8830 |
[2023-09-02 08:45:59,111::train::INFO] [train] Iter 08085 | loss 2.2978 | loss(rot) 0.0286 | loss(pos) 2.2688 | loss(seq) 0.0005 | grad 4.6773 | lr 0.0010 | time_forward 3.5450 | time_backward 4.6910 |
[2023-09-02 08:46:07,608::train::INFO] [train] Iter 08086 | loss 1.2758 | loss(rot) 0.5562 | loss(pos) 0.4486 | loss(seq) 0.2710 | grad 4.4468 | lr 0.0010 | time_forward 3.5860 | time_backward 4.9070 |
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