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[2023-10-23 11:10:47,296::train::INFO] [train] Iter 570081 | loss 2.3489 | loss(rot) 0.6184 | loss(pos) 1.7298 | loss(seq) 0.0007 | grad 43.7721 | lr 0.0000 | time_forward 1.0570 | time_backward 1.2300 |
[2023-10-23 11:10:57,059::train::INFO] [train] Iter 570082 | loss 0.2987 | loss(rot) 0.1676 | loss(pos) 0.0314 | loss(seq) 0.0997 | grad 2.2008 | lr 0.0000 | time_forward 4.0490 | time_backward 5.7100 |
[2023-10-23 11:11:13,007::train::INFO] [train] Iter 570083 | loss 1.8896 | loss(rot) 1.6432 | loss(pos) 0.0894 | loss(seq) 0.1569 | grad 22.9067 | lr 0.0000 | time_forward 8.0110 | time_backward 7.9330 |
[2023-10-23 11:11:26,648::train::INFO] [train] Iter 570084 | loss 0.8129 | loss(rot) 0.0248 | loss(pos) 0.7784 | loss(seq) 0.0097 | grad 13.6856 | lr 0.0000 | time_forward 8.0670 | time_backward 5.5700 |
[2023-10-23 11:11:36,992::train::INFO] [train] Iter 570085 | loss 0.2394 | loss(rot) 0.1317 | loss(pos) 0.0817 | loss(seq) 0.0260 | grad 3.3029 | lr 0.0000 | time_forward 5.3580 | time_backward 4.9820 |
[2023-10-23 11:11:47,270::train::INFO] [train] Iter 570086 | loss 0.2610 | loss(rot) 0.2189 | loss(pos) 0.0378 | loss(seq) 0.0044 | grad 5.0776 | lr 0.0000 | time_forward 4.1740 | time_backward 6.1010 |
[2023-10-23 11:11:55,473::train::INFO] [train] Iter 570087 | loss 0.4737 | loss(rot) 0.1718 | loss(pos) 0.0523 | loss(seq) 0.2496 | grad 2.1703 | lr 0.0000 | time_forward 3.4600 | time_backward 4.7400 |
[2023-10-23 11:11:58,323::train::INFO] [train] Iter 570088 | loss 0.4339 | loss(rot) 0.4021 | loss(pos) 0.0317 | loss(seq) 0.0000 | grad 2.9312 | lr 0.0000 | time_forward 1.3730 | time_backward 1.4740 |
[2023-10-23 11:12:08,259::train::INFO] [train] Iter 570089 | loss 0.1622 | loss(rot) 0.0949 | loss(pos) 0.0671 | loss(seq) 0.0003 | grad 4.2963 | lr 0.0000 | time_forward 3.7680 | time_backward 6.1130 |
[2023-10-23 11:12:16,855::train::INFO] [train] Iter 570090 | loss 0.2008 | loss(rot) 0.1803 | loss(pos) 0.0204 | loss(seq) 0.0001 | grad 2.9985 | lr 0.0000 | time_forward 5.0410 | time_backward 3.5510 |
[2023-10-23 11:12:25,428::train::INFO] [train] Iter 570091 | loss 0.4304 | loss(rot) 0.1844 | loss(pos) 0.0349 | loss(seq) 0.2110 | grad 2.7585 | lr 0.0000 | time_forward 3.3780 | time_backward 5.1920 |
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