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[2023-09-02 06:35:16,296::train::INFO] [val] Iter 07000 | loss 2.0949 | loss(rot) 1.5097 | loss(pos) 0.3154 | loss(seq) 0.2698 |
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[2023-09-02 06:44:30,932::train::INFO] [train] Iter 07077 | loss 1.7202 | loss(rot) 1.0277 | loss(pos) 0.1582 | loss(seq) 0.5343 | grad 4.4974 | lr 0.0010 | time_forward 3.0390 | time_backward 3.9770 |
[2023-09-02 06:44:33,715::train::INFO] [train] Iter 07078 | loss 2.6497 | loss(rot) 2.3191 | loss(pos) 0.1326 | loss(seq) 0.1980 | grad 3.7197 | lr 0.0010 | time_forward 1.3840 | time_backward 1.3960 |
[2023-09-02 06:44:42,743::train::INFO] [train] Iter 07079 | loss 3.2010 | loss(rot) 2.6400 | loss(pos) 0.2269 | loss(seq) 0.3341 | grad 3.4283 | lr 0.0010 | time_forward 3.8840 | time_backward 5.1400 |
[2023-09-02 06:44:45,137::train::INFO] [train] Iter 07080 | loss 1.5285 | loss(rot) 1.2237 | loss(pos) 0.1587 | loss(seq) 0.1460 | grad 5.9027 | lr 0.0010 | time_forward 1.1480 | time_backward 1.2420 |
[2023-09-02 06:44:55,006::train::INFO] [train] Iter 07081 | loss 1.2957 | loss(rot) 0.5520 | loss(pos) 0.2198 | loss(seq) 0.5239 | grad 2.7877 | lr 0.0010 | time_forward 4.0070 | time_backward 5.8440 |
[2023-09-02 06:45:04,264::train::INFO] [train] Iter 07082 | loss 1.2977 | loss(rot) 0.1532 | loss(pos) 1.1208 | loss(seq) 0.0237 | grad 6.5503 | lr 0.0010 | time_forward 3.9220 | time_backward 5.3330 |
[2023-09-02 06:45:13,933::train::INFO] [train] Iter 07083 | loss 2.8022 | loss(rot) 2.5597 | loss(pos) 0.2421 | loss(seq) 0.0003 | grad 5.6468 | lr 0.0010 | time_forward 3.9660 | time_backward 5.7000 |
[2023-09-02 06:45:16,214::train::INFO] [train] Iter 07084 | loss 2.4081 | loss(rot) 2.1698 | loss(pos) 0.2352 | loss(seq) 0.0031 | grad 3.4983 | lr 0.0010 | time_forward 1.0520 | time_backward 1.2250 |
[2023-09-02 06:45:19,014::train::INFO] [train] Iter 07085 | loss 2.5904 | loss(rot) 2.3833 | loss(pos) 0.1782 | loss(seq) 0.0289 | grad 4.0888 | lr 0.0010 | time_forward 1.3960 | time_backward 1.4000 |
[2023-09-02 06:45:27,358::train::INFO] [train] Iter 07086 | loss 2.3071 | loss(rot) 2.1670 | loss(pos) 0.1382 | loss(seq) 0.0019 | grad 8.5068 | lr 0.0010 | time_forward 3.5340 | time_backward 4.7660 |
[2023-09-02 06:45:36,608::train::INFO] [train] Iter 07087 | loss 1.9158 | loss(rot) 0.8408 | loss(pos) 0.3810 | loss(seq) 0.6941 | grad 5.2572 | lr 0.0010 | time_forward 3.8460 | time_backward 5.4000 |
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