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[2023-10-24 00:09:59,235::train::INFO] [train] Iter 576975 | loss 0.6605 | loss(rot) 0.1126 | loss(pos) 0.0353 | loss(seq) 0.5126 | grad 2.6142 | lr 0.0000 | time_forward 1.3010 | time_backward 1.4030 |
[2023-10-24 00:10:08,234::train::INFO] [train] Iter 576976 | loss 0.4330 | loss(rot) 0.2088 | loss(pos) 0.0309 | loss(seq) 0.1933 | grad 3.3356 | lr 0.0000 | time_forward 3.7190 | time_backward 5.2570 |
[2023-10-24 00:10:17,156::train::INFO] [train] Iter 576977 | loss 0.2284 | loss(rot) 0.1100 | loss(pos) 0.0274 | loss(seq) 0.0910 | grad 2.1640 | lr 0.0000 | time_forward 3.6820 | time_backward 5.2370 |
[2023-10-24 00:10:19,885::train::INFO] [train] Iter 576978 | loss 0.6838 | loss(rot) 0.2561 | loss(pos) 0.0745 | loss(seq) 0.3532 | grad 2.9362 | lr 0.0000 | time_forward 1.2970 | time_backward 1.4290 |
[2023-10-24 00:10:22,582::train::INFO] [train] Iter 576979 | loss 0.5087 | loss(rot) 0.1324 | loss(pos) 0.0640 | loss(seq) 0.3123 | grad 2.9116 | lr 0.0000 | time_forward 1.2590 | time_backward 1.4360 |
[2023-10-24 00:10:30,829::train::INFO] [train] Iter 576980 | loss 0.0979 | loss(rot) 0.0785 | loss(pos) 0.0194 | loss(seq) 0.0000 | grad 1.9068 | lr 0.0000 | time_forward 3.5540 | time_backward 4.6890 |
[2023-10-24 00:10:33,598::train::INFO] [train] Iter 576981 | loss 2.4272 | loss(rot) 1.7711 | loss(pos) 0.1786 | loss(seq) 0.4775 | grad 3.8610 | lr 0.0000 | time_forward 1.3230 | time_backward 1.4420 |
[2023-10-24 00:10:42,653::train::INFO] [train] Iter 576982 | loss 1.2804 | loss(rot) 0.7981 | loss(pos) 0.1232 | loss(seq) 0.3592 | grad 15.9602 | lr 0.0000 | time_forward 3.8860 | time_backward 5.1670 |
[2023-10-24 00:10:45,538::train::INFO] [train] Iter 576983 | loss 1.0229 | loss(rot) 0.9881 | loss(pos) 0.0347 | loss(seq) 0.0001 | grad 100.1331 | lr 0.0000 | time_forward 1.3400 | time_backward 1.5420 |
[2023-10-24 00:10:54,458::train::INFO] [train] Iter 576984 | loss 1.3276 | loss(rot) 0.4581 | loss(pos) 0.4691 | loss(seq) 0.4004 | grad 3.7652 | lr 0.0000 | time_forward 3.8330 | time_backward 5.0830 |
[2023-10-24 00:11:02,440::train::INFO] [train] Iter 576985 | loss 0.3734 | loss(rot) 0.2189 | loss(pos) 0.0506 | loss(seq) 0.1038 | grad 3.7202 | lr 0.0000 | time_forward 3.4950 | time_backward 4.4840 |
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