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[2023-10-25 08:56:33,516::train::INFO] [train] Iter 594057 | loss 0.7791 | loss(rot) 0.3637 | loss(pos) 0.1240 | loss(seq) 0.2915 | grad 6.0544 | lr 0.0000 | time_forward 2.9110 | time_backward 3.8700 |
[2023-10-25 08:56:35,756::train::INFO] [train] Iter 594058 | loss 0.3872 | loss(rot) 0.0781 | loss(pos) 0.0326 | loss(seq) 0.2765 | grad 2.0743 | lr 0.0000 | time_forward 1.0460 | time_backward 1.1910 |
[2023-10-25 08:56:42,929::train::INFO] [train] Iter 594059 | loss 0.7272 | loss(rot) 0.1165 | loss(pos) 0.5973 | loss(seq) 0.0134 | grad 6.0838 | lr 0.0000 | time_forward 3.0420 | time_backward 4.1270 |
[2023-10-25 08:56:45,601::train::INFO] [train] Iter 594060 | loss 0.5131 | loss(rot) 0.3218 | loss(pos) 0.0220 | loss(seq) 0.1692 | grad 15.0539 | lr 0.0000 | time_forward 1.2860 | time_backward 1.3830 |
[2023-10-25 08:56:48,369::train::INFO] [train] Iter 594061 | loss 0.2373 | loss(rot) 0.1712 | loss(pos) 0.0187 | loss(seq) 0.0474 | grad 2.4132 | lr 0.0000 | time_forward 1.3440 | time_backward 1.4200 |
[2023-10-25 08:56:56,481::train::INFO] [train] Iter 594062 | loss 0.1802 | loss(rot) 0.1318 | loss(pos) 0.0275 | loss(seq) 0.0209 | grad 2.1455 | lr 0.0000 | time_forward 3.4970 | time_backward 4.6130 |
[2023-10-25 08:57:03,761::train::INFO] [train] Iter 594063 | loss 0.1532 | loss(rot) 0.0172 | loss(pos) 0.1299 | loss(seq) 0.0062 | grad 2.5758 | lr 0.0000 | time_forward 3.0690 | time_backward 4.1970 |
[2023-10-25 08:57:12,655::train::INFO] [train] Iter 594064 | loss 1.0461 | loss(rot) 1.0157 | loss(pos) 0.0208 | loss(seq) 0.0095 | grad 3.1184 | lr 0.0000 | time_forward 3.7110 | time_backward 5.1800 |
[2023-10-25 08:57:20,508::train::INFO] [train] Iter 594065 | loss 0.1222 | loss(rot) 0.0621 | loss(pos) 0.0205 | loss(seq) 0.0396 | grad 1.8206 | lr 0.0000 | time_forward 3.3290 | time_backward 4.5170 |
[2023-10-25 08:57:28,529::train::INFO] [train] Iter 594066 | loss 0.3472 | loss(rot) 0.1147 | loss(pos) 0.0264 | loss(seq) 0.2060 | grad 2.4394 | lr 0.0000 | time_forward 3.3870 | time_backward 4.6310 |
[2023-10-25 08:57:31,896::train::INFO] [train] Iter 594067 | loss 0.8812 | loss(rot) 0.7149 | loss(pos) 0.0560 | loss(seq) 0.1103 | grad 3.3777 | lr 0.0000 | time_forward 1.4920 | time_backward 1.8720 |
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