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[2023-10-24 09:52:12,223::train::INFO] [train] Iter 581870 | loss 0.2793 | loss(rot) 0.2183 | loss(pos) 0.0610 | loss(seq) 0.0000 | grad 2.6060 | lr 0.0000 | time_forward 1.3280 | time_backward 1.5510 |
[2023-10-24 09:52:15,161::train::INFO] [train] Iter 581871 | loss 1.1487 | loss(rot) 0.6401 | loss(pos) 0.0741 | loss(seq) 0.4345 | grad 4.5629 | lr 0.0000 | time_forward 1.4160 | time_backward 1.4860 |
[2023-10-24 09:52:18,056::train::INFO] [train] Iter 581872 | loss 0.9993 | loss(rot) 0.4506 | loss(pos) 0.1171 | loss(seq) 0.4316 | grad 4.0775 | lr 0.0000 | time_forward 1.4290 | time_backward 1.4640 |
[2023-10-24 09:52:27,244::train::INFO] [train] Iter 581873 | loss 0.8193 | loss(rot) 0.7241 | loss(pos) 0.0265 | loss(seq) 0.0686 | grad 4.8198 | lr 0.0000 | time_forward 3.8820 | time_backward 5.3020 |
[2023-10-24 09:52:35,953::train::INFO] [train] Iter 581874 | loss 0.2051 | loss(rot) 0.1373 | loss(pos) 0.0101 | loss(seq) 0.0577 | grad 3.0858 | lr 0.0000 | time_forward 3.4870 | time_backward 5.2200 |
[2023-10-24 09:52:45,745::train::INFO] [train] Iter 581875 | loss 0.2359 | loss(rot) 0.2035 | loss(pos) 0.0295 | loss(seq) 0.0029 | grad 2.2536 | lr 0.0000 | time_forward 4.1950 | time_backward 5.5930 |
[2023-10-24 09:52:55,221::train::INFO] [train] Iter 581876 | loss 1.0698 | loss(rot) 1.0346 | loss(pos) 0.0263 | loss(seq) 0.0088 | grad 27.2544 | lr 0.0000 | time_forward 4.0140 | time_backward 5.4580 |
[2023-10-24 09:53:04,574::train::INFO] [train] Iter 581877 | loss 1.1377 | loss(rot) 0.8990 | loss(pos) 0.0888 | loss(seq) 0.1500 | grad 3.6802 | lr 0.0000 | time_forward 4.0410 | time_backward 5.3090 |
[2023-10-24 09:53:11,194::train::INFO] [train] Iter 581878 | loss 2.2505 | loss(rot) 0.1624 | loss(pos) 2.0873 | loss(seq) 0.0008 | grad 8.0106 | lr 0.0000 | time_forward 2.7740 | time_backward 3.8420 |
[2023-10-24 09:53:22,339::train::INFO] [train] Iter 581879 | loss 1.3962 | loss(rot) 1.3441 | loss(pos) 0.0277 | loss(seq) 0.0244 | grad 5.6485 | lr 0.0000 | time_forward 4.6400 | time_backward 6.4930 |
[2023-10-24 09:53:25,116::train::INFO] [train] Iter 581880 | loss 0.7801 | loss(rot) 0.3973 | loss(pos) 0.1676 | loss(seq) 0.2151 | grad 3.9277 | lr 0.0000 | time_forward 1.2290 | time_backward 1.5440 |
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