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[2023-10-25 09:20:06,088::train::INFO] [train] Iter 594258 | loss 0.3899 | loss(rot) 0.3665 | loss(pos) 0.0230 | loss(seq) 0.0005 | grad 4.2107 | lr 0.0000 | time_forward 1.3240 | time_backward 1.4780 |
[2023-10-25 09:20:08,661::train::INFO] [train] Iter 594259 | loss 0.8029 | loss(rot) 0.5947 | loss(pos) 0.0421 | loss(seq) 0.1661 | grad 3.3688 | lr 0.0000 | time_forward 1.2580 | time_backward 1.3110 |
[2023-10-25 09:20:16,879::train::INFO] [train] Iter 594260 | loss 2.2078 | loss(rot) 1.3565 | loss(pos) 0.5525 | loss(seq) 0.2988 | grad 10.7218 | lr 0.0000 | time_forward 3.4480 | time_backward 4.7670 |
[2023-10-25 09:20:19,593::train::INFO] [train] Iter 594261 | loss 1.2959 | loss(rot) 0.0100 | loss(pos) 1.2852 | loss(seq) 0.0007 | grad 10.3608 | lr 0.0000 | time_forward 1.3050 | time_backward 1.4050 |
[2023-10-25 09:20:39,566::train::INFO] [train] Iter 594262 | loss 1.0822 | loss(rot) 1.0400 | loss(pos) 0.0421 | loss(seq) 0.0000 | grad 5.9658 | lr 0.0000 | time_forward 13.5300 | time_backward 6.4400 |
[2023-10-25 09:20:54,462::train::INFO] [train] Iter 594263 | loss 0.2286 | loss(rot) 0.0452 | loss(pos) 0.0287 | loss(seq) 0.1547 | grad 1.7701 | lr 0.0000 | time_forward 9.2500 | time_backward 5.6430 |
[2023-10-25 09:21:08,614::train::INFO] [train] Iter 594264 | loss 0.2306 | loss(rot) 0.1356 | loss(pos) 0.0361 | loss(seq) 0.0589 | grad 2.2286 | lr 0.0000 | time_forward 8.0270 | time_backward 6.1220 |
[2023-10-25 09:21:18,890::train::INFO] [train] Iter 594265 | loss 1.7167 | loss(rot) 0.0105 | loss(pos) 1.7057 | loss(seq) 0.0005 | grad 13.7646 | lr 0.0000 | time_forward 4.7010 | time_backward 5.5730 |
[2023-10-25 09:21:28,367::train::INFO] [train] Iter 594266 | loss 0.2786 | loss(rot) 0.1625 | loss(pos) 0.0615 | loss(seq) 0.0546 | grad 3.1877 | lr 0.0000 | time_forward 4.3210 | time_backward 5.1510 |
[2023-10-25 09:21:30,995::train::INFO] [train] Iter 594267 | loss 0.2614 | loss(rot) 0.0441 | loss(pos) 0.0935 | loss(seq) 0.1239 | grad 2.3695 | lr 0.0000 | time_forward 1.2180 | time_backward 1.4070 |
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