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[2023-10-24 11:20:01,673::train::INFO] [train] Iter 582569 | loss 0.4866 | loss(rot) 0.1407 | loss(pos) 0.2826 | loss(seq) 0.0633 | grad 4.0405 | lr 0.0000 | time_forward 3.4180 | time_backward 4.5130 |
[2023-10-24 11:20:10,355::train::INFO] [train] Iter 582570 | loss 0.3841 | loss(rot) 0.0807 | loss(pos) 0.2805 | loss(seq) 0.0229 | grad 6.3430 | lr 0.0000 | time_forward 3.5720 | time_backward 5.1070 |
[2023-10-24 11:20:17,941::train::INFO] [train] Iter 582571 | loss 0.4829 | loss(rot) 0.0981 | loss(pos) 0.3025 | loss(seq) 0.0822 | grad 4.9707 | lr 0.0000 | time_forward 3.2340 | time_backward 4.3490 |
[2023-10-24 11:20:24,047::train::INFO] [train] Iter 582572 | loss 1.1861 | loss(rot) 0.0175 | loss(pos) 1.1679 | loss(seq) 0.0008 | grad 19.8605 | lr 0.0000 | time_forward 2.5660 | time_backward 3.5360 |
[2023-10-24 11:20:33,377::train::INFO] [train] Iter 582573 | loss 0.9644 | loss(rot) 0.2169 | loss(pos) 0.5257 | loss(seq) 0.2219 | grad 5.6747 | lr 0.0000 | time_forward 4.6390 | time_backward 4.6790 |
[2023-10-24 11:20:36,285::train::INFO] [train] Iter 582574 | loss 0.8108 | loss(rot) 0.0053 | loss(pos) 0.8053 | loss(seq) 0.0003 | grad 11.8499 | lr 0.0000 | time_forward 1.4330 | time_backward 1.4710 |
[2023-10-24 11:20:39,375::train::INFO] [train] Iter 582575 | loss 0.7172 | loss(rot) 0.2875 | loss(pos) 0.1304 | loss(seq) 0.2993 | grad 4.4827 | lr 0.0000 | time_forward 1.4860 | time_backward 1.5720 |
[2023-10-24 11:20:49,243::train::INFO] [train] Iter 582576 | loss 0.7288 | loss(rot) 0.2497 | loss(pos) 0.0471 | loss(seq) 0.4320 | grad 4.0159 | lr 0.0000 | time_forward 4.4870 | time_backward 5.3770 |
[2023-10-24 11:20:57,076::train::INFO] [train] Iter 582577 | loss 0.6378 | loss(rot) 0.0202 | loss(pos) 0.4804 | loss(seq) 0.1372 | grad 6.4183 | lr 0.0000 | time_forward 3.4500 | time_backward 4.3800 |
[2023-10-24 11:21:06,209::train::INFO] [train] Iter 582578 | loss 1.3873 | loss(rot) 1.3455 | loss(pos) 0.0412 | loss(seq) 0.0006 | grad 8.7620 | lr 0.0000 | time_forward 3.6970 | time_backward 5.4330 |
[2023-10-24 11:21:12,492::train::INFO] [train] Iter 582579 | loss 0.5268 | loss(rot) 0.2224 | loss(pos) 0.0516 | loss(seq) 0.2528 | grad 3.6182 | lr 0.0000 | time_forward 2.6090 | time_backward 3.6700 |
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