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[2023-10-22 16:54:37,279::train::INFO] [train] Iter 559793 | loss 1.7725 | loss(rot) 1.7262 | loss(pos) 0.0463 | loss(seq) 0.0000 | grad 3.0342 | lr 0.0000 | time_forward 3.3490 | time_backward 4.5100 |
[2023-10-22 16:54:41,056::train::INFO] [train] Iter 559794 | loss 0.9107 | loss(rot) 0.3169 | loss(pos) 0.3296 | loss(seq) 0.2643 | grad 3.8447 | lr 0.0000 | time_forward 1.7550 | time_backward 2.0190 |
[2023-10-22 16:54:49,197::train::INFO] [train] Iter 559795 | loss 1.2219 | loss(rot) 0.7636 | loss(pos) 0.0571 | loss(seq) 0.4011 | grad 4.3222 | lr 0.0000 | time_forward 3.3550 | time_backward 4.7730 |
[2023-10-22 16:54:51,646::train::INFO] [train] Iter 559796 | loss 1.3179 | loss(rot) 0.9275 | loss(pos) 0.0370 | loss(seq) 0.3534 | grad 5.9792 | lr 0.0000 | time_forward 1.1300 | time_backward 1.2960 |
[2023-10-22 16:55:02,530::train::INFO] [train] Iter 559797 | loss 0.3105 | loss(rot) 0.1876 | loss(pos) 0.0969 | loss(seq) 0.0260 | grad 2.2088 | lr 0.0000 | time_forward 4.7370 | time_backward 6.1450 |
[2023-10-22 16:55:05,797::train::INFO] [train] Iter 559798 | loss 0.2448 | loss(rot) 0.0989 | loss(pos) 0.1430 | loss(seq) 0.0029 | grad 3.5134 | lr 0.0000 | time_forward 1.4800 | time_backward 1.7830 |
[2023-10-22 16:55:08,261::train::INFO] [train] Iter 559799 | loss 0.4658 | loss(rot) 0.2948 | loss(pos) 0.0436 | loss(seq) 0.1274 | grad 4.3415 | lr 0.0000 | time_forward 1.1430 | time_backward 1.3170 |
[2023-10-22 16:55:16,236::train::INFO] [train] Iter 559800 | loss 1.2282 | loss(rot) 1.0720 | loss(pos) 0.0675 | loss(seq) 0.0887 | grad 3.0467 | lr 0.0000 | time_forward 3.3640 | time_backward 4.6080 |
[2023-10-22 16:55:25,509::train::INFO] [train] Iter 559801 | loss 0.8156 | loss(rot) 0.2333 | loss(pos) 0.0515 | loss(seq) 0.5308 | grad 2.8098 | lr 0.0000 | time_forward 3.8940 | time_backward 5.3750 |
[2023-10-22 16:55:33,970::train::INFO] [train] Iter 559802 | loss 0.4057 | loss(rot) 0.1169 | loss(pos) 0.0386 | loss(seq) 0.2502 | grad 2.3709 | lr 0.0000 | time_forward 3.5910 | time_backward 4.8680 |
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