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[2023-09-02 23:02:38,182::train::INFO] [train] Iter 15170 | loss 2.0370 | loss(rot) 1.2030 | loss(pos) 0.2512 | loss(seq) 0.5828 | grad 4.9784 | lr 0.0010 | time_forward 1.2510 | time_backward 1.4200 |
[2023-09-02 23:02:41,763::train::INFO] [train] Iter 15171 | loss 1.4251 | loss(rot) 0.2651 | loss(pos) 1.0059 | loss(seq) 0.1540 | grad 3.8043 | lr 0.0010 | time_forward 1.5250 | time_backward 2.0190 |
[2023-09-02 23:02:52,793::train::INFO] [train] Iter 15172 | loss 2.1195 | loss(rot) 1.8766 | loss(pos) 0.2428 | loss(seq) 0.0001 | grad 3.5367 | lr 0.0010 | time_forward 4.4440 | time_backward 6.5700 |
[2023-09-02 23:02:55,685::train::INFO] [train] Iter 15173 | loss 1.3714 | loss(rot) 0.3680 | loss(pos) 0.8081 | loss(seq) 0.1953 | grad 4.0088 | lr 0.0010 | time_forward 1.3170 | time_backward 1.5720 |
[2023-09-02 23:03:05,960::train::INFO] [train] Iter 15174 | loss 1.1131 | loss(rot) 0.8495 | loss(pos) 0.2635 | loss(seq) 0.0001 | grad 3.6044 | lr 0.0010 | time_forward 4.4050 | time_backward 5.8400 |
[2023-09-02 23:03:08,879::train::INFO] [train] Iter 15175 | loss 1.2436 | loss(rot) 0.3731 | loss(pos) 0.5265 | loss(seq) 0.3439 | grad 5.1297 | lr 0.0010 | time_forward 1.3530 | time_backward 1.5600 |
[2023-09-02 23:03:11,823::train::INFO] [train] Iter 15176 | loss 0.9688 | loss(rot) 0.5243 | loss(pos) 0.0794 | loss(seq) 0.3650 | grad 3.9021 | lr 0.0010 | time_forward 1.3640 | time_backward 1.5780 |
[2023-09-02 23:03:21,528::train::INFO] [train] Iter 15177 | loss 2.0489 | loss(rot) 1.9247 | loss(pos) 0.1114 | loss(seq) 0.0128 | grad 4.9368 | lr 0.0010 | time_forward 3.9390 | time_backward 5.7450 |
[2023-09-02 23:03:31,004::train::INFO] [train] Iter 15178 | loss 2.0765 | loss(rot) 1.8153 | loss(pos) 0.2578 | loss(seq) 0.0035 | grad 4.6725 | lr 0.0010 | time_forward 3.9320 | time_backward 5.5400 |
[2023-09-02 23:03:41,089::train::INFO] [train] Iter 15179 | loss 1.2335 | loss(rot) 0.4481 | loss(pos) 0.4935 | loss(seq) 0.2919 | grad 4.7123 | lr 0.0010 | time_forward 4.2530 | time_backward 5.8290 |
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