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[2023-10-23 23:59:53,067::train::INFO] [train] Iter 576876 | loss 0.4210 | loss(rot) 0.0167 | loss(pos) 0.3968 | loss(seq) 0.0075 | grad 7.8715 | lr 0.0000 | time_forward 1.3280 | time_backward 1.3880 |
[2023-10-24 00:00:00,954::train::INFO] [train] Iter 576877 | loss 0.6335 | loss(rot) 0.1165 | loss(pos) 0.2120 | loss(seq) 0.3050 | grad 4.5804 | lr 0.0000 | time_forward 3.4670 | time_backward 4.4160 |
[2023-10-24 00:00:08,222::train::INFO] [train] Iter 576878 | loss 2.8528 | loss(rot) 0.0617 | loss(pos) 2.7911 | loss(seq) 0.0000 | grad 22.3670 | lr 0.0000 | time_forward 3.1280 | time_backward 4.1370 |
[2023-10-24 00:00:17,813::train::INFO] [train] Iter 576879 | loss 0.9664 | loss(rot) 0.6351 | loss(pos) 0.0747 | loss(seq) 0.2565 | grad 4.9891 | lr 0.0000 | time_forward 3.9000 | time_backward 5.6870 |
[2023-10-24 00:00:22,772::train::INFO] [train] Iter 576880 | loss 0.4805 | loss(rot) 0.0216 | loss(pos) 0.4571 | loss(seq) 0.0019 | grad 5.6920 | lr 0.0000 | time_forward 2.2950 | time_backward 2.6600 |
[2023-10-24 00:00:31,613::train::INFO] [train] Iter 576881 | loss 1.0842 | loss(rot) 0.8126 | loss(pos) 0.0343 | loss(seq) 0.2373 | grad 2.7469 | lr 0.0000 | time_forward 3.7880 | time_backward 5.0490 |
[2023-10-24 00:00:34,789::train::INFO] [train] Iter 576882 | loss 0.3557 | loss(rot) 0.1263 | loss(pos) 0.0895 | loss(seq) 0.1399 | grad 4.0650 | lr 0.0000 | time_forward 1.4840 | time_backward 1.6080 |
[2023-10-24 00:00:42,751::train::INFO] [train] Iter 576883 | loss 0.9588 | loss(rot) 0.5096 | loss(pos) 0.0224 | loss(seq) 0.4268 | grad 3.1169 | lr 0.0000 | time_forward 3.4350 | time_backward 4.5240 |
[2023-10-24 00:00:45,747::train::INFO] [train] Iter 576884 | loss 0.8716 | loss(rot) 0.4554 | loss(pos) 0.2051 | loss(seq) 0.2111 | grad 5.7485 | lr 0.0000 | time_forward 1.4650 | time_backward 1.5270 |
[2023-10-24 00:00:54,549::train::INFO] [train] Iter 576885 | loss 0.3181 | loss(rot) 0.0558 | loss(pos) 0.0501 | loss(seq) 0.2121 | grad 2.9745 | lr 0.0000 | time_forward 3.7790 | time_backward 4.9940 |
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