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[2023-10-25 14:47:53,359::train::INFO] [train] Iter 596955 | loss 0.9278 | loss(rot) 0.4647 | loss(pos) 0.1504 | loss(seq) 0.3127 | grad 5.0496 | lr 0.0000 | time_forward 3.4600 | time_backward 4.7770 |
[2023-10-25 14:47:56,069::train::INFO] [train] Iter 596956 | loss 0.9834 | loss(rot) 0.1072 | loss(pos) 0.7004 | loss(seq) 0.1757 | grad 6.2569 | lr 0.0000 | time_forward 1.3070 | time_backward 1.4010 |
[2023-10-25 14:47:58,798::train::INFO] [train] Iter 596957 | loss 0.2240 | loss(rot) 0.1886 | loss(pos) 0.0165 | loss(seq) 0.0189 | grad 5.6941 | lr 0.0000 | time_forward 1.3350 | time_backward 1.3910 |
[2023-10-25 14:48:08,397::train::INFO] [train] Iter 596958 | loss 1.5780 | loss(rot) 0.9329 | loss(pos) 0.2055 | loss(seq) 0.4396 | grad 9.6156 | lr 0.0000 | time_forward 4.0820 | time_backward 5.4890 |
[2023-10-25 14:48:15,539::train::INFO] [train] Iter 596959 | loss 0.7278 | loss(rot) 0.5740 | loss(pos) 0.0162 | loss(seq) 0.1376 | grad 2.3620 | lr 0.0000 | time_forward 3.0640 | time_backward 4.0740 |
[2023-10-25 14:48:20,984::train::INFO] [train] Iter 596960 | loss 0.9922 | loss(rot) 0.4560 | loss(pos) 0.1956 | loss(seq) 0.3405 | grad 2.9091 | lr 0.0000 | time_forward 2.3420 | time_backward 3.1000 |
[2023-10-25 14:48:23,708::train::INFO] [train] Iter 596961 | loss 0.7575 | loss(rot) 0.6708 | loss(pos) 0.0228 | loss(seq) 0.0639 | grad 3.5011 | lr 0.0000 | time_forward 1.3150 | time_backward 1.4060 |
[2023-10-25 14:48:32,842::train::INFO] [train] Iter 596962 | loss 0.1500 | loss(rot) 0.1361 | loss(pos) 0.0125 | loss(seq) 0.0015 | grad 2.2567 | lr 0.0000 | time_forward 3.7810 | time_backward 5.3500 |
[2023-10-25 14:48:41,274::train::INFO] [train] Iter 596963 | loss 1.4599 | loss(rot) 1.3161 | loss(pos) 0.0245 | loss(seq) 0.1192 | grad 2.6647 | lr 0.0000 | time_forward 3.5950 | time_backward 4.8330 |
[2023-10-25 14:48:46,798::train::INFO] [train] Iter 596964 | loss 0.8515 | loss(rot) 0.2095 | loss(pos) 0.6265 | loss(seq) 0.0154 | grad 6.8952 | lr 0.0000 | time_forward 2.3730 | time_backward 3.1480 |
[2023-10-25 14:48:49,515::train::INFO] [train] Iter 596965 | loss 0.2029 | loss(rot) 0.1329 | loss(pos) 0.0275 | loss(seq) 0.0425 | grad 1.8539 | lr 0.0000 | time_forward 1.3090 | time_backward 1.4050 |
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