目标识别 最大训练次数没有开放配置

[xujiang1]

python -u main.py -c /hy-tmp/PaddleX/paddlex/configs/object_detection/PP-YOLOE_plus-L.yaml
-o Global.mode=train
-o Global.output=/hy-tmp/PaddleX/output
-o Global.dataset_dir=/hy-tmp/detect_data/det_coco_journal
-o Train.num_classes=8
-o Global.device=gpu:0,1,2,3,4,5,6
-o Train.epochs_iters=200
-o Train.batch_size=24
-o Train.learning_rate=0.006
-o Train.log_interval=5
-o Train.eval_interval=5

当我使用 /hy-tmp/PaddleX/paddlex/configs/object_detection/PP-YOLOE_plus-L.yaml 训练时 没有看到 max_epochs 的配置
而在我实际的训练中第Epoch learning_rate 就变成了0 虽然我配置的是200 的epochs_iters

[12/25 21:58:58] ppdet.engine.callbacks INFO: Epoch: [95] [ 25/169] learning_rate: 0.000001 loss: 1.011076 loss_cls: 0.573458 loss_iou: 0.074952 loss_dfl: 0.557140 loss_l1: 0.184247 eta: 1 day, 0:26:46 batc
[12/25 21:59:25] ppdet.engine.callbacks INFO: Epoch: [95] [ 30/169] learning_rate: 0.000001 loss: 0.980387 loss_cls: 0.543518 loss_iou: 0.073683 loss_dfl: 0.544381 loss_l1: 0.144877 eta: 1 day, 0:26:22 batc
[12/25 21:59:47] ppdet.engine.callbacks INFO: Epoch: [95] [ 35/169] learning_rate: 0.000001 loss: 1.151201 loss_cls: 0.598921 loss_iou: 0.084037 loss_dfl: 0.608737 loss_l1: 0.155414 eta: 1 day, 0:25:53 batc
[12/25 22:00:05] ppdet.engine.callbacks INFO: Epoch: [95] [ 40/169] learning_rate: 0.000001 loss: 1.225311 loss_cls: 0.626715 loss_iou: 0.094455 loss_dfl: 0.696784 loss_l1: 0.147936 eta: 1 day, 0:25:20 batc
[12/25 22:00:33] ppdet.engine.callbacks INFO: Epoch: [95] [ 45/169] learning_rate: 0.000001 loss: 1.237994 loss_cls: 0.649682 loss_iou: 0.096428 loss_dfl: 0.694485 loss_l1: 0.136714 eta: 1 day, 0:24:58 batc
[12/25 22:01:05] ppdet.engine.callbacks INFO: Epoch: [95] [ 50/169] learning_rate: 0.000001 loss: 1.107807 loss_cls: 0.575115 loss_iou: 0.080233 loss_dfl: 0.590294 loss_l1: 0.160085 eta: 1 day, 0:24:39 batc
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[12/25 22:01:24] ppdet.engine.callbacks INFO: Epoch: [95] [ 55/169] learning_rate: 0.000001 loss: 1.296872 loss_cls: 0.658607 loss_iou: 0.103065 loss_dfl: 0.732692 loss_l1: 0.158443 eta: 1 day, 0:24:07 batc
[12/25 22:01:45] ppdet.engine.callbacks INFO: Epoch: [95] [ 60/169] learning_rate: 0.000001 loss: 1.089059 loss_cls: 0.591832 loss_iou: 0.078314 loss_dfl: 0.580950 loss_l1: 0.147554 eta: 1 day, 0:23:37 batc
[12/25 22:02:15] ppdet.engine.callbacks INFO: Epoch: [95] [ 65/169] learning_rate: 0.000001 loss: 1.140040 loss_cls: 0.590932 loss_iou: 0.081863 loss_dfl: 0.627723 loss_l1: 0.136702 eta: 1 day, 0:23:16 batc
[12/25 22:02:41] ppdet.engine.callbacks INFO: Epoch: [95] [ 70/169] learning_rate: 0.000001 loss: 1.119025 loss_cls: 0.600655 loss_iou: 0.087326 loss_dfl: 0.622920 loss_l1: 0.130125 eta: 1 day, 0:22:52 batc
[12/25 22:03:07] ppdet.engine.callbacks INFO: Epoch: [95] [ 75/169] learning_rate: 0.000001 loss: 1.134307 loss_cls: 0.598380 loss_iou: 0.084001 loss_dfl: 0.651850 loss_l1: 0.152830 eta: 1 day, 0:22:26 batc
[12/25 22:03:32] ppdet.engine.callbacks INFO: Epoch: [95] [ 80/169] learning_rate: 0.000000 loss: 1.108056 loss_cls: 0.598300 loss_iou: 0.080584 loss_dfl: 0.637055 loss_l1: 0.135076 eta: 1 day, 0:22:01 batc
[12/25 22:03:51] ppdet.engine.callbacks INFO: Epoch: [95] [ 85/169] learning_rate: 0.000000 loss: 1.194700 loss_cls: 0.634611 loss_iou: 0.092270 loss_dfl: 0.651239 loss_l1: 0.149854 eta: 1 day, 0:21:29 batc
[12/25 22:04:21] ppdet.engine.callbacks INFO: Epoch: [95] [ 90/169] learning_rate: 0.000000 loss: 1.093043 loss_cls: 0.568498 loss_iou: 0.082929 loss_dfl: 0.620583 loss_l1: 0.140492 eta: 1 day, 0:21:08 batc
[12/25 22:04:47] ppdet.engine.callbacks INFO: Epoch: [95] [ 95/169] learning_rate: 0.000000 loss: 1.237424 loss_cls: 0.690637 loss_iou: 0.089207 loss_dfl: 0.699868 loss_l1: 0.156353 eta: 1 day, 0:20:44 batc
[12/25 22:05:05] ppdet.engine.callbacks INFO: Epoch: [95] [100/169] learning_rate: 0.000000 loss: 1.096220 loss_cls: 0.570590 loss_iou: 0.083727 loss_dfl: 0.641799 loss_l1: 0.151880 eta: 1 day, 0:20:11 batc
[12/25 22:05:28] ppdet.engine.callbacks INFO: Epoch: [95] [105/169] learning_rate: 0.000000 loss: 1.053779 loss_cls: 0.550413 loss_iou: 0.079722 loss_dfl: 0.641832 loss_l1: 0.165519 eta: 1 day, 0:19:42 batc
[12/25 22:06:00] ppdet.engine.callbacks INFO: Epoch: [95] [110/169] learning_rate: 0.000000 loss: 1.131192 loss_cls: 0.615158 loss_iou: 0.080346 loss_dfl: 0.652839 loss_l1: 0.133404 eta: 1 day, 0:19:25 batc
[12/25 22:06:21] ppdet.engine.callbacks INFO: Epoch: [95] [115/169] learning_rate: 0.000000 loss: 1.222325 loss_cls: 0.638351 loss_iou: 0.093219 loss_dfl: 0.668411 loss_l1: 0.207153 eta: 1 day, 0:18:54 batc
[12/25 22:06:42] ppdet.engine.callbacks INFO: Epoch: [95] [120/169] learning_rate: 0.000000 loss: 1.000899 loss_cls: 0.536590 loss_iou: 0.077655 loss_dfl: 0.574101 loss_l1: 0.148959 eta: 1 day, 0:18:24 batc
[12/25 22:07:08] ppdet.engine.callbacks INFO: Epoch: [95] [125/169] learning_rate: 0.000000 loss: 1.093485 loss_cls: 0.574632 loss_iou: 0.081775 loss_dfl: 0.623000 loss_l1: 0.144216 eta: 1 day, 0:18:00 batc
[12/25 22:07:49] ppdet.engine.callbacks INFO: Epoch: [95] [130/169] learning_rate: 0.000000 loss: 1.140877 loss_cls: 0.619970 loss_iou: 0.081969 loss_dfl: 0.626303 loss_l1: 0.168591 eta: 1 day, 0:17:51 batc
[12/25 22:08:10] ppdet.engine.callbacks INFO: Epoch: [95] [135/169] learning_rate: 0.000000 loss: 1.139161 loss_cls: 0.610743 loss_iou: 0.082441 loss_dfl: 0.647689 loss_l1: 0.139870 eta: 1 day, 0:17:22 batc
[12/25 22:08:28] ppdet.engine.callbacks INFO: Epoch: [95] [140/169] learning_rate: 0.000000 loss: 1.249488 loss_cls: 0.649972 loss_iou: 0.103896 loss_dfl: 0.708498 loss_l1: 0.158569 eta: 1 day, 0:16:48 batc
[12/25 22:08:45] ppdet.engine.callbacks INFO: Epoch: [95] [145/169] learning_rate: 0.000000 loss: 1.114808 loss_cls: 0.595549 loss_iou: 0.087449 loss_dfl: 0.637040 loss_l1: 0.137773 eta: 1 day, 0:16:14 batc
[12/25 22:09:13] ppdet.engine.callbacks INFO: Epoch: [95] [150/169] learning_rate: 0.000000 loss: 0.985093 loss_cls: 0.535645 loss_iou: 0.069353 loss_dfl: 0.604455 loss_l1: 0.154636 eta: 1 day, 0:15:51 batc
[12/25 22:09:44] ppdet.engine.callbacks INFO: Epoch: [95] [155/169] learning_rate: 0.000000 loss: 1.146910 loss_cls: 0.608443 loss_iou: 0.086566 loss_dfl: 0.630588 loss_l1: 0.152599 eta: 1 day, 0:15:32 batc
[12/25 22:10:04] ppdet.engine.callbacks INFO: Epoch: [95] [160/169] learning_rate: 0.000000 loss: 1.207927 loss_cls: 0.642430 loss_iou: 0.095599 loss_dfl: 0.696781 loss_l1: 0.133310 eta: 1 day, 0:15:00 batc
[12/25 22:10:38] ppdet.engine.callbacks INFO: Epoch: [95] [165/169] learning_rate: 0.000000 loss: 1.145625 loss_cls: 0.618790 loss_iou: 0.085000 loss_dfl: 0.628672 loss_l1: 0.137353 eta: 1 day, 0:14:44 batc
[12/25 22:11:41] ppdet.engine.callbacks INFO: Epoch: [96] [  0/169] learning_rate: 0.000000 loss: 1.111884 loss_cls: 0.587992 loss_iou: 0.090292 loss_dfl: 0.611911 loss_l1: 0.144854 eta: 1 day, 0:14:46 batc
[12/25 22:12:00] ppdet.engine.callbacks INFO: Epoch: [96] [  5/169] learning_rate: 0.000000 loss: 1.248589 loss_cls: 0.670535 loss_iou: 0.093849 loss_dfl: 0.681299 loss_l1: 0.160378 eta: 1 day, 0:14:14 batc
[12/25 22:12:21] ppdet.engine.callbacks INFO: Epoch: [96] [ 10/169] learning_rate: 0.000000 loss: 1.178303 loss_cls: 0.623496 loss_iou: 0.094411 loss_dfl: 0.636586 loss_l1: 0.160847 eta: 1 day, 0:13:44 batc
[12/25 22:12:52] ppdet.engine.callbacks INFO: Epoch: [96] [ 15/169] learning_rate: 0.000000 loss: 1.026304 loss_cls: 0.560671 loss_iou: 0.072239 loss_dfl: 0.598891 loss_l1: 0.131475 eta: 1 day, 0:13:24 batc
[12/25 22:13:24] ppdet.engine.callbacks INFO: Epoch: [96] [ 20/169] learning_rate: 0.000000 loss: 1.122281 loss_cls: 0.599527 loss_iou: 0.084673 loss_dfl: 0.670983 loss_l1: 0.127281 eta: 1 day, 0:13:07 batc
[12/25 22:13:51] ppdet.engine.callbacks INFO: Epoch: [96] [ 25/169] learning_rate: 0.000000 loss: 1.249556 loss_cls: 0.668246 loss_iou: 0.100523 loss_dfl: 0.705083 loss_l1: 0.149170 eta: 1 day, 0:12:42 batc
[12/25 22:14:15] ppdet.engine.callbacks INFO: Epoch: [96] [ 30/169] learning_rate: 0.000000 loss: 1.249798 loss_cls: 0.685509 loss_iou: 0.094951 loss_dfl: 0.686279 loss_l1: 0.144426 eta: 1 day, 0:12:16 batc
[12/25 22:14:45] ppdet.engine.callbacks INFO: Epoch: [96] [ 35/169] learning_rate: 0.000000 loss: 1.253819 loss_cls: 0.640144 loss_iou: 0.095614 loss_dfl: 0.697975 loss_l1: 0.136475 eta: 1 day, 0:11:56 batc
[12/25 22:15:09] ppdet.engine.callbacks INFO: Epoch: [96] [ 40/169] learning_rate: 0.000000 loss: 1.264614 loss_cls: 0.631099 loss_iou: 0.101190 loss_dfl: 0.691281 loss_l1: 0.172227 eta: 1 day, 0:11:29 batc
[12/25 22:15:34] ppdet.engine.callbacks INFO: Epoch: [96] [ 45/169] learning_rate: 0.000000 loss: 1.190191 loss_cls: 0.599111 loss_iou: 0.094773 loss_dfl: 0.658138 loss_l1: 0.152148 eta: 1 day, 0:11:03 batc
[12/25 22:16:03] ppdet.engine.callbacks INFO: Epoch: [96] [ 50/169] learning_rate: 0.000000 loss: 1.090017 loss_cls: 0.628103 loss_iou: 0.077773 loss_dfl: 0.583051 loss_l1: 0.154476 eta: 1 day, 0:10:42 batc
[12/25 22:16:34] ppdet.engine.callbacks INFO: Epoch: [96] [ 55/169] learning_rate: 0.000000 loss: 1.109647 loss_cls: 0.588482 loss_iou: 0.086932 loss_dfl: 0.607672 loss_l1: 0.156852 eta: 1 day, 0:10:22 batc
[12/25 22:16:53] ppdet.engine.callbacks INFO: Epoch: [96] [ 60/169] learning_rate: 0.000000 loss: 1.297771 loss_cls: 0.667899 loss_iou: 0.094669 loss_dfl: 0.662256 loss_l1: 0.144137 eta: 1 day, 0:09:50 batc
[12/25 22:17:17] ppdet.engine.callbacks INFO: Epoch: [96] [ 65/169] learning_rate: 0.000000 loss: 1.131392 loss_cls: 0.620771 loss_iou: 0.089977 loss_dfl: 0.643677 loss_l1: 0.162264 eta: 1 day, 0:09:24 batc
[12/25 22:17:37] ppdet.engine.callbacks INFO: Epoch: [96] [ 70/169] learning_rate: 0.000000 loss: 1.270585 loss_cls: 0.686079 loss_iou: 0.098954 loss_dfl: 0.678925 loss_l1: 0.143564 eta: 1 day, 0:08:53 batc
[12/25 22:18:08] ppdet.engine.callbacks INFO: Epoch: [96] [ 75/169] learning_rate: 0.000000 loss: 1.138576 loss_cls: 0.599913 loss_iou: 0.088331 loss_dfl: 0.638821 loss_l1: 0.161362 eta: 1 day, 0:08:32 batc
[12/25 22:18:28] ppdet.engine.callbacks INFO: Epoch: [96] [ 80/169] learning_rate: 0.000000 loss: 1.094506 loss_cls: 0.608563 loss_iou: 0.084791 loss_dfl: 0.613185 loss_l1: 0.140470 eta: 1 day, 0:08:02 batc
[12/25 22:18:50] ppdet.engine.callbacks INFO: Epoch: [96] [ 85/169] learning_rate: 0.000000 loss: 1.148984 loss_cls: 0.602779 loss_iou: 0.076695 loss_dfl: 0.644193 loss_l1: 0.171478 eta: 1 day, 0:07:32 batc
[12/25 22:19:19] ppdet.engine.callbacks INFO: Epoch: [96] [ 90/169] learning_rate: 0.000000 loss: 1.053350 loss_cls: 0.555145 loss_iou: 0.076338 loss_dfl: 0.601768 loss_l1: 0.136873 eta: 1 day, 0:07:12 batc
[12/25 22:19:40] ppdet.engine.callbacks INFO: Epoch: [96] [ 95/169] learning_rate: 0.000000 loss: 1.155542 loss_cls: 0.598452 loss_iou: 0.089550 loss_dfl: 0.642664 loss_l1: 0.142228 eta: 1 day, 0:06:41 batc
[12/25 22:20:16] ppdet.engine.callbacks INFO: Epoch: [96] [100/169] learning_rate: 0.000000 loss: 1.082156 loss_cls: 0.578129 loss_iou: 0.082317 loss_dfl: 0.596897 loss_l1: 0.161510 eta: 1 day, 0:06:27 batc
[12/25 22:20:33] ppdet.engine.callbacks INFO: Epoch: [96] [105/169] learning_rate: 0.000000 loss: 1.151439 loss_cls: 0.625915 loss_iou: 0.087465 loss_dfl: 0.660508 loss_l1: 0.152333 eta: 1 day, 0:05:53 batc
[12/25 22:20:57] ppdet.engine.callbacks INFO: Epoch: [96] [110/169] learning_rate: 0.000000 loss: 1.159351 loss_cls: 0.609936 loss_iou: 0.090990 loss_dfl: 0.643881 loss_l1: 0.159588 eta: 1 day, 0:05:26 batc
[12/25 22:21:21] ppdet.engine.callbacks INFO: Epoch: [96] [115/169] learning_rate: 0.000000 loss: 1.168822 loss_cls: 0.664900 loss_iou: 0.086580 loss_dfl: 0.657027 loss_l1: 0.151378 eta: 1 day, 0:05:00 batc
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[12/25 22:21:52] ppdet.engine.callbacks INFO: Epoch: [96] [120/169] learning_rate: 0.000000 loss: 1.365055 loss_cls: 0.735298 loss_iou: 0.105745 loss_dfl: 0.766637 loss_l1: 0.155935 eta: 1 day, 0:04:40 batc
[12/25 22:22:11] ppdet.engine.callbacks INFO: Epoch: [96] [125/169] learning_rate: 0.000000 loss: 1.211249 loss_cls: 0.650562 loss_iou: 0.083352 loss_dfl: 0.691884 loss_l1: 0.154563 eta: 1 day, 0:04:08 batc
[12/25 22:22:35] ppdet.engine.callbacks INFO: Epoch: [96] [130/169] learning_rate: 0.000000 loss: 1.073932 loss_cls: 0.563692 loss_iou: 0.083417 loss_dfl: 0.603394 loss_l1: 0.149858 eta: 1 day, 0:03:41 batc
[12/25 22:22:58] ppdet.engine.callbacks INFO: Epoch: [96] [135/169] learning_rate: 0.000000 loss: 1.166103 loss_cls: 0.612780 loss_iou: 0.087182 loss_dfl: 0.633147 loss_l1: 0.150879 eta: 1 day, 0:03:13 batc
[12/25 22:23:23] ppdet.engine.callbacks INFO: Epoch: [96] [140/169] learning_rate: 0.000000 loss: 1.066701 loss_cls: 0.558018 loss_iou: 0.086298 loss_dfl: 0.605949 loss_l1: 0.163310 eta: 1 day, 0:02:47 batc
[12/25 22:24:00] ppdet.engine.callbacks INFO: Epoch: [96] [145/169] learning_rate: 0.000000 loss: 1.100721 loss_cls: 0.587103 loss_iou: 0.088742 loss_dfl: 0.617672 loss_l1: 0.183240 eta: 1 day, 0:02:34 batc
[12/25 22:24:18] ppdet.engine.callbacks INFO: Epoch: [96] [150/169] learning_rate: 0.000000 loss: 1.225949 loss_cls: 0.629970 loss_iou: 0.091801 loss_dfl: 0.691500 loss_l1: 0.146277 eta: 1 day, 0:02:00 batc
[12/25 22:24:41] ppdet.engine.callbacks INFO: Epoch: [96] [155/169] learning_rate: 0.000000 loss: 1.114249 loss_cls: 0.576114 loss_iou: 0.080101 loss_dfl: 0.638306 loss_l1: 0.182295 eta: 1 day, 0:01:32 batc
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[12/25 22:25:10] ppdet.engine.callbacks INFO: Epoch: [96] [160/169] learning_rate: 0.000000 loss: 1.172958 loss_cls: 0.613359 loss_iou: 0.101855 loss_dfl: 0.646871 loss_l1: 0.170578 eta: 1 day, 0:01:11 batc
[12/25 22:25:32] ppdet.engine.callbacks INFO: Epoch: [96] [165/169] learning_rate: 0.000000 loss: 1.120335 loss_cls: 0.595918 loss_iou: 0.088290 loss_dfl: 0.640996 loss_l1: 0.179951 eta: 1 day, 0:00:42 batc
[12/25 22:26:42] ppdet.engine.callbacks INFO: Epoch: [97] [  0/169] learning_rate: 0.000000 loss: 1.083054 loss_cls: 0.568914 loss_iou: 0.075381 loss_dfl: 0.586235 loss_l1: 0.152441 eta: 1 day, 0:00:50 batc
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[12/25 22:27:10] ppdet.engine.callbacks INFO: Epoch: [97] [  5/169] learning_rate: 0.000000 loss: 1.123648 loss_cls: 0.583132 loss_iou: 0.092454 loss_dfl: 0.618762 loss_l1: 0.153410 eta: 1 day, 0:00:28 batc
[12/25 22:27:34] ppdet.engine.callbacks INFO: Epoch: [97] [ 10/169] learning_rate: 0.000000 loss: 1.073653 loss_cls: 0.574821 loss_iou: 0.075393 loss_dfl: 0.623611 loss_l1: 0.147783 eta: 1 day, 0:00:02 batc
[12/25 22:27:58] ppdet.engine.callbacks INFO: Epoch: [97] [ 15/169] learning_rate: 0.000000 loss: 1.063113 loss_cls: 0.568514 loss_iou: 0.079981 loss_dfl: 0.585307 loss_l1: 0.135726 eta: 23:59:35 batch_cost
[12/25 22:28:25] ppdet.engine.callbacks INFO: Epoch: [97] [ 20/169] learning_rate: 0.000000 loss: 1.220294 loss_cls: 0.629773 loss_iou: 0.091714 loss_dfl: 0.701220 loss_l1: 0.142545 eta: 23:59:11 batch_cost
[12/25 22:28:56] ppdet.engine.callbacks INFO: Epoch: [97] [ 25/169] learning_rate: 0.000000 loss: 1.150541 loss_cls: 0.612320 loss_iou: 0.087356 loss_dfl: 0.639662 loss_l1: 0.149392 eta: 23:58:52 batch_cost
[12/25 22:29:17] ppdet.engine.callbacks INFO: Epoch: [97] [ 30/169] learning_rate: 0.000000 loss: 1.080134 loss_cls: 0.589031 loss_iou: 0.082350 loss_dfl: 0.611305 loss_l1: 0.150029 eta: 23:58:21 batch_cost
[12/25 22:29:34] ppdet.engine.callbacks INFO: Epoch: [97] [ 35/169] learning_rate: 0.000000 loss: 1.217749 loss_cls: 0.657552 loss_iou: 0.084584 loss_dfl: 0.697474 loss_l1: 0.146446 eta: 23:57:47 batch_cost
[12/25 22:30:14] ppdet.engine.callbacks INFO: Epoch: [97] [ 40/169] learning_rate: 0.000000 loss: 1.186018 loss_cls: 0.610449 loss_iou: 0.094804 loss_dfl: 0.645596 loss_l1: 0.152322 eta: 23:57:37 batch_cost
[12/25 22:30:37] ppdet.engine.callbacks INFO: Epoch: [97] [ 45/169] learning_rate: 0.000000 loss: 1.091166 loss_cls: 0.558809 loss_iou: 0.084869 loss_dfl: 0.618078 loss_l1: 0.156435 eta: 23:57:09 batch_cost
[12/25 22:30:58] ppdet.engine.callbacks INFO: Epoch: [97] [ 50/169] learning_rate: 0.000000 loss: 1.181600 loss_cls: 0.641395 loss_iou: 0.087923 loss_dfl: 0.587444 loss_l1: 0.140826 eta: 23:56:39 batch_cost
[12/25 22:31:26] ppdet.engine.callbacks INFO: Epoch: [97] [ 55/169] learning_rate: 0.000000 loss: 1.111623 loss_cls: 0.570284 loss_iou: 0.089300 loss_dfl: 0.636178 loss_l1: 0.173893 eta: 23:56:17 batch_cost
[12/25 22:31:55] ppdet.engine.callbacks INFO: Epoch: [97] [ 60/169] learning_rate: 0.000000 loss: 1.166407 loss_cls: 0.632943 loss_iou: 0.090854 loss_dfl: 0.621104 loss_l1: 0.125478 eta: 23:55:55 batch_cost
[12/25 22:32:16] ppdet.engine.callbacks INFO: Epoch: [97] [ 65/169] learning_rate: 0.000000 loss: 1.275224 loss_cls: 0.632752 loss_iou: 0.088819 loss_dfl: 0.705590 loss_l1: 0.172656 eta: 23:55:26 batch_cost
[12/25 22:32:42] ppdet.engine.callbacks INFO: Epoch: [97] [ 70/169] learning_rate: 0.000000 loss: 1.097303 loss_cls: 0.577567 loss_iou: 0.083824 loss_dfl: 0.640547 loss_l1: 0.150279 eta: 23:55:01 batch_cost
[12/25 22:33:16] ppdet.engine.callbacks INFO: Epoch: [97] [ 75/169] learning_rate: 0.000000 loss: 1.172946 loss_cls: 0.622746 loss_iou: 0.087080 loss_dfl: 0.645878 loss_l1: 0.140220 eta: 23:54:45 batch_cost

[xujiang1]

在 老的 PaddleDetection 项目中

LearningRate:
  base_lr: 0.001
  schedulers:
    - !CosineDecay
      max_epochs: 96
    - !LinearWarmup
      start_factor: 0.
      epochs: 5

我认为是这个配置被默认使用了 却没有在新项目中开放给用户配置

[liu-jiaxuan]

learning_rate 变成0可能是学习率策略导致的（比如lr decay等），并且初始学习率也设置的有点小了，可以考虑放大一点lr或者调一下策略。最大训练次数接口开放的建议已收到，我们评估下~

[xujiang1]

我尝试过 放大lr 都会在 96轮归0 。学习率策略在 paddlex如何设置 请告知下 我没找到相关的说明

[liu-jiaxuan]

可以调整 /paddlex/repo_apis/PaddleDetection_api/configs 中相关配置文件的设置