2021-02-24 11:25:21,316 train.py[line:611] INFO: Using device cuda
2021-02-24 11:25:23,204 train.py[line:327] INFO: Starting training:
        Epochs:          10000
        Batch size:      32
        Subdivisions:    16
        Learning rate:   0.001
        Training size:   3598
        Validation size: 374
        Checkpoints:     True
        Device:          cuda
        Images size:     608
        Optimizer:       adam
        Dataset classes: 4
        Train label path:/media/rememberoh/D4/project/LPR2.0_flask_latest/notebooks/pytorch-YOLOv4/data/custom/train.txt
        Pretrained:
    
2021-02-24 11:29:22,933 train.py[line:411] DEBUG: Train step_320: loss : 33793.04296875,loss xy : 16.44667625427246,loss wh : 11.632431983947754,loss obj : 33748.14453125，loss cls : 16.819595336914062,loss l2 : 12464.8671875,lr : 1.6000000000000002e-10
2021-02-24 11:33:19,874 train.py[line:411] DEBUG: Train step_640: loss : 33874.17578125,loss xy : 5.729554653167725,loss wh : 0.44988003373146057,loss obj : 33862.38671875，loss cls : 5.610995769500732,loss l2 : 12488.787109375,lr : 2.5600000000000003e-09
2021-02-24 11:37:18,148 train.py[line:411] DEBUG: Train step_960: loss : 33761.6953125,loss xy : 6.898861408233643,loss wh : 2.7647485733032227,loss obj : 33746.48828125，loss cls : 5.543769836425781,loss l2 : 12438.1728515625,lr : 1.2959999999999998e-08
2021-02-24 11:41:17,857 train.py[line:411] DEBUG: Train step_1280: loss : 33775.4375,loss xy : 5.036209583282471,loss wh : 0.47197961807250977,loss obj : 33763.953125，loss cls : 5.976708889007568,loss l2 : 12443.3046875,lr : 4.0960000000000004e-08
2021-02-24 11:45:18,438 train.py[line:411] DEBUG: Train step_1600: loss : 33818.10546875,loss xy : 11.46855354309082,loss wh : 1.181262731552124,loss obj : 33792.96484375，loss cls : 12.490968704223633,loss l2 : 12461.8642578125,lr : 1.0000000000000002e-07
2021-02-24 11:49:18,382 train.py[line:411] DEBUG: Train step_1920: loss : 33878.56640625,loss xy : 14.391470909118652,loss wh : 0.6728324294090271,loss obj : 33849.40234375，loss cls : 14.10341739654541,loss l2 : 12487.3095703125,lr : 2.0735999999999997e-07
2021-02-24 11:53:19,231 train.py[line:411] DEBUG: Train step_2240: loss : 33731.0625,loss xy : 7.692200660705566,loss wh : 1.5049655437469482,loss obj : 33713.65234375，loss cls : 8.21615219116211,loss l2 : 12420.748046875,lr : 3.841600000000001e-07
2021-02-24 11:57:21,603 train.py[line:411] DEBUG: Train step_2560: loss : 33653.37109375,loss xy : 10.868114471435547,loss wh : 5.608994483947754,loss obj : 33626.64453125，loss cls : 10.248278617858887,loss l2 : 12390.115234375,lr : 6.553600000000001e-07
2021-02-24 12:01:21,858 train.py[line:411] DEBUG: Train step_2880: loss : 33668.703125,loss xy : 10.998823165893555,loss wh : 6.269261837005615,loss obj : 33641.15234375，loss cls : 10.282535552978516,loss l2 : 12397.357421875,lr : 1.0497599999999998e-06
2021-02-24 12:05:21,343 train.py[line:411] DEBUG: Train step_3200: loss : 33653.1640625,loss xy : 5.53473424911499,loss wh : 0.7790714502334595,loss obj : 33642.15625，loss cls : 4.695295333862305,loss l2 : 12385.291015625,lr : 1.6000000000000004e-06
2021-02-24 12:09:19,118 train.py[line:411] DEBUG: Train step_3520: loss : 33752.44921875,loss xy : 11.008413314819336,loss wh : 4.537566184997559,loss obj : 33726.71484375，loss cls : 10.188915252685547,loss l2 : 12433.814453125,lr : 2.34256e-06
2021-02-24 12:13:19,757 train.py[line:411] DEBUG: Train step_3840: loss : 33728.02734375,loss xy : 8.362961769104004,loss wh : 2.1125543117523193,loss obj : 33708.66796875，loss cls : 8.884119033813477,loss l2 : 12420.724609375,lr : 3.3177599999999996e-06
2021-02-24 12:17:16,844 train.py[line:411] DEBUG: Train step_4160: loss : 33600.5390625,loss xy : 8.536445617675781,loss wh : 1.2074629068374634,loss obj : 33581.66015625，loss cls : 9.136326789855957,loss l2 : 12358.884765625,lr : 4.569760000000001e-06
2021-02-24 12:21:12,687 train.py[line:411] DEBUG: Train step_4480: loss : 33563.13671875,loss xy : 7.241666793823242,loss wh : 1.7612724304199219,loss obj : 33545.69140625，loss cls : 8.44150161743164,loss l2 : 12340.119140625,lr : 6.146560000000002e-06
2021-02-24 12:25:08,169 train.py[line:411] DEBUG: Train step_4800: loss : 33512.90625,loss xy : 13.498735427856445,loss wh : 13.098548889160156,loss obj : 33472.26171875，loss cls : 14.04666805267334,loss l2 : 12329.90625,lr : 8.1e-06
2021-02-24 12:29:03,727 train.py[line:411] DEBUG: Train step_5120: loss : 33672.6484375,loss xy : 13.437445640563965,loss wh : 7.720047473907471,loss obj : 33636.20703125，loss cls : 15.286715507507324,loss l2 : 12397.34375,lr : 1.0485760000000001e-05
2021-02-24 12:33:00,521 train.py[line:411] DEBUG: Train step_5440: loss : 33430.2421875,loss xy : 8.627784729003906,loss wh : 0.5402197241783142,loss obj : 33411.49609375，loss cls : 9.577836036682129,loss l2 : 12270.73828125,lr : 1.3363360000000005e-05
2021-02-24 12:36:55,974 train.py[line:411] DEBUG: Train step_5760: loss : 33286.5,loss xy : 8.521552085876465,loss wh : 5.442809104919434,loss obj : 33265.625，loss cls : 6.9107584953308105,loss l2 : 12209.3232421875,lr : 1.6796159999999997e-05
2021-02-24 12:40:51,569 train.py[line:411] DEBUG: Train step_6080: loss : 32969.71484375,loss xy : 5.190993309020996,loss wh : 0.792444109916687,loss obj : 32958.21484375，loss cls : 5.516846656799316,loss l2 : 12045.32421875,lr : 2.085136e-05
2021-02-24 12:44:46,942 train.py[line:411] DEBUG: Train step_6400: loss : 32992.57421875,loss xy : 11.203716278076172,loss wh : 6.837374687194824,loss obj : 32963.73046875，loss cls : 10.802286148071289,loss l2 : 12069.08984375,lr : 2.5600000000000006e-05
2021-02-24 12:48:42,338 train.py[line:411] DEBUG: Train step_6720: loss : 32636.171875,loss xy : 9.089069366455078,loss wh : 0.435563325881958,loss obj : 32618.275390625，loss cls : 8.371681213378906,loss l2 : 11883.4921875,lr : 3.111696e-05
2021-02-24 12:52:37,728 train.py[line:411] DEBUG: Train step_7040: loss : 31717.818359375,loss xy : 11.09276008605957,loss wh : 0.4855262339115143,loss obj : 31695.18359375，loss cls : 11.056840896606445,loss l2 : 11428.892578125,lr : 3.748096e-05
2021-02-24 12:56:34,275 train.py[line:411] DEBUG: Train step_7360: loss : 30930.353515625,loss xy : 11.44575309753418,loss wh : 0.8569786548614502,loss obj : 30907.369140625，loss cls : 10.68066692352295,loss l2 : 11045.3984375,lr : 4.477456000000001e-05
2021-02-24 13:00:29,765 train.py[line:411] DEBUG: Train step_7680: loss : 28887.890625,loss xy : 10.60590934753418,loss wh : 4.7252960205078125,loss obj : 28861.90625，loss cls : 10.652244567871094,loss l2 : 10037.46484375,lr : 5.308415999999999e-05
2021-02-24 13:04:25,212 train.py[line:411] DEBUG: Train step_8000: loss : 27864.8203125,loss xy : 11.292075157165527,loss wh : 4.785409927368164,loss obj : 27837.748046875，loss cls : 10.995112419128418,loss l2 : 9556.2822265625,lr : 6.25e-05
2021-02-24 13:08:20,670 train.py[line:411] DEBUG: Train step_8320: loss : 26488.587890625,loss xy : 16.91436004638672,loss wh : 1.6971533298492432,loss obj : 26452.828125，loss cls : 17.14752197265625,loss l2 : 8890.15234375,lr : 7.311616000000002e-05
2021-02-24 13:12:22,330 train.py[line:411] DEBUG: Train step_8640: loss : 23721.849609375,loss xy : 15.759254455566406,loss wh : 2.282931327819824,loss obj : 23687.642578125，loss cls : 16.16437530517578,loss l2 : 7571.74755859375,lr : 8.503056000000002e-05
2021-02-24 13:16:19,067 train.py[line:411] DEBUG: Train step_8960: loss : 22813.716796875,loss xy : 5.50946044921875,loss wh : 0.14578114449977875,loss obj : 22802.892578125，loss cls : 5.169029712677002,loss l2 : 7141.61865234375,lr : 9.834496000000003e-05
2021-02-24 13:20:17,440 train.py[line:411] DEBUG: Train step_9280: loss : 21209.017578125,loss xy : 5.316742897033691,loss wh : 0.15278691053390503,loss obj : 21198.357421875，loss cls : 5.190977096557617,loss l2 : 6411.5771484375,lr : 0.00011316495999999998
2021-02-24 13:24:13,750 train.py[line:411] DEBUG: Train step_9600: loss : 19615.2265625,loss xy : 14.286395072937012,loss wh : 10.653768539428711,loss obj : 19577.255859375，loss cls : 13.030519485473633,loss l2 : 5686.138671875,lr : 0.0001296
2021-02-24 13:28:09,782 train.py[line:411] DEBUG: Train step_9920: loss : 18878.744140625,loss xy : 13.632461547851562,loss wh : 3.6646716594696045,loss obj : 18849.138671875，loss cls : 12.308799743652344,loss l2 : 5345.0458984375,lr : 0.00014776335999999997
2021-02-24 13:32:06,677 train.py[line:411] DEBUG: Train step_10240: loss : 18377.859375,loss xy : 8.077930450439453,loss wh : 1.5489122867584229,loss obj : 18360.796875，loss cls : 7.43546199798584,loss l2 : 5118.3271484375,lr : 0.00016777216000000002
2021-02-24 13:36:06,459 train.py[line:411] DEBUG: Train step_10560: loss : 17724.92578125,loss xy : 8.378896713256836,loss wh : 3.5247559547424316,loss obj : 17704.328125，loss cls : 8.692441940307617,loss l2 : 4832.69287109375,lr : 0.00018974736000000004
2021-02-24 13:40:06,319 train.py[line:411] DEBUG: Train step_10880: loss : 17275.12109375,loss xy : 5.392667770385742,loss wh : 0.7263150811195374,loss obj : 17263.68359375，loss cls : 5.318558216094971,loss l2 : 4629.53369140625,lr : 0.0002138137600000001
2021-02-24 13:44:03,987 train.py[line:411] DEBUG: Train step_11200: loss : 16856.498046875,loss xy : 10.739018440246582,loss wh : 0.864051342010498,loss obj : 16834.919921875，loss cls : 9.973928451538086,loss l2 : 4455.44140625,lr : 0.00024009999999999995
2021-02-24 13:48:03,136 train.py[line:411] DEBUG: Train step_11520: loss : 16694.029296875,loss xy : 7.85638427734375,loss wh : 0.9051501750946045,loss obj : 16677.357421875，loss cls : 7.910125732421875,loss l2 : 4400.29736328125,lr : 0.00026873855999999996
2021-02-24 13:52:02,999 train.py[line:411] DEBUG: Train step_11840: loss : 16340.4970703125,loss xy : 13.428458213806152,loss wh : 1.0522918701171875,loss obj : 16312.8125，loss cls : 13.20445728302002,loss l2 : 4249.3681640625,lr : 0.00029986575999999996
2021-02-24 13:56:02,845 train.py[line:411] DEBUG: Train step_12160: loss : 15660.4140625,loss xy : 19.562715530395508,loss wh : 27.488927841186523,loss obj : 15595.7451171875，loss cls : 17.617420196533203,loss l2 : 3997.63916015625,lr : 0.00033362176
2021-02-24 14:00:03,073 train.py[line:411] DEBUG: Train step_12480: loss : 15612.353515625,loss xy : 13.44470500946045,loss wh : 2.877732038497925,loss obj : 15584.2060546875，loss cls : 11.825540542602539,loss l2 : 3948.58935546875,lr : 0.00037015056000000006
2021-02-24 14:04:05,842 train.py[line:411] DEBUG: Train step_12800: loss : 15316.58984375,loss xy : 8.284150123596191,loss wh : 2.180863618850708,loss obj : 15299.3076171875，loss cls : 6.817089080810547,loss l2 : 3833.869140625,lr : 0.0004096000000000001
2021-02-24 14:08:07,974 train.py[line:411] DEBUG: Train step_13120: loss : 14944.20703125,loss xy : 13.325456619262695,loss wh : 1.7489553689956665,loss obj : 14918.220703125，loss cls : 10.912027359008789,loss l2 : 3680.43212890625,lr : 0.0004521217599999999
2021-02-24 14:12:08,997 train.py[line:411] DEBUG: Train step_13440: loss : 14576.685546875,loss xy : 5.281919002532959,loss wh : 0.14669150114059448,loss obj : 14566.662109375，loss cls : 4.594590187072754,loss l2 : 3538.730712890625,lr : 0.00049787136
2021-02-24 14:16:09,684 train.py[line:411] DEBUG: Train step_13760: loss : 14666.369140625,loss xy : 18.731353759765625,loss wh : 2.326181650161743,loss obj : 14628.0419921875，loss cls : 17.26952362060547,loss l2 : 3575.918701171875,lr : 0.00054700816
2021-02-24 14:20:11,252 train.py[line:411] DEBUG: Train step_14080: loss : 13901.5029296875,loss xy : 8.190059661865234,loss wh : 0.12846608459949493,loss obj : 13887.25390625，loss cls : 5.930873870849609,loss l2 : 3269.845947265625,lr : 0.00059969536
2021-02-24 14:24:12,130 train.py[line:411] DEBUG: Train step_14400: loss : 13593.9541015625,loss xy : 10.610939025878906,loss wh : 1.2315518856048584,loss obj : 13574.0419921875，loss cls : 8.06965160369873,loss l2 : 3154.28369140625,lr : 0.0006561000000000001
2021-02-24 14:28:09,279 train.py[line:411] DEBUG: Train step_14720: loss : 13321.755859375,loss xy : 8.162935256958008,loss wh : 0.8879245519638062,loss obj : 13306.31640625，loss cls : 6.388491630554199,loss l2 : 3053.144287109375,lr : 0.0007163929600000001
2021-02-24 14:30:32,071 train.py[line:629] INFO: Saved interrupt
