Learning rate increases where it should decrease

[PushpakBhoge512]

Hi all
I have set the following config for model Misc/cascade_mask_rcnn_R_50_FPN_3x.yaml
(tested with other model same issue for other model as well models)

cfg.SOLVER.BASE_LR = 0.001
cfg.SOLVER.WEIGHT_DECAY = 0.0001
cfg.SOLVER.GAMMA = 0.01
cfg.SOLVER.LR_SCHEDULER_NAME = "WarmupMultiStepLR"
cfg.SOLVER.MAX_ITER = 10000
cfg.SOLVER.CHECKPOINT_PERIOD = 2000
cfg.SOLVER.STEPS = [2000 4000, 6000, 8000

Now, the learning rate should decrease with the iteration but it increases with every iteration

�[32m[10/30 09:11:17 d2.utils.events]: �[0m eta: 93 days, 13:03:47  iter: 19  total_loss: 1.402  loss_cls_stage0: 0.1647  loss_box_reg_stage0: 0.1203  loss_cls_stage1: 0.1468  loss_box_reg_stage1: 0.208  loss_cls_stage2: 0.1172  loss_box_reg_stage2: 0.1552  loss_mask: 0.3902  loss_rpn_cls: 0.06889  loss_rpn_loc: 0.0437  time: 1.6745  data_time: 0.0464  lr: 1.9981e-05  max_mem: 5399M
�[32m[10/30 09:11:51 d2.utils.events]: �[0m eta: 93 days, 13:03:13  iter: 39  total_loss: 1.298  loss_cls_stage0: 0.1673  loss_box_reg_stage0: 0.1269  loss_cls_stage1: 0.137  loss_box_reg_stage1: 0.1823  loss_cls_stage2: 0.1071  loss_box_reg_stage2: 0.1659  loss_mask: 0.3887  loss_rpn_cls: 0.06939  loss_rpn_loc: 0.0405  time: 1.6694  data_time: 0.0182  lr: 3.9961e-05  max_mem: 5399M
�[32m[10/30 09:12:24 d2.utils.events]: �[0m eta: 93 days, 19:32:15  iter: 59  total_loss: 1.391  loss_cls_stage0: 0.1616  loss_box_reg_stage0: 0.1304  loss_cls_stage1: 0.1446  loss_box_reg_stage1: 0.2022  loss_cls_stage2: 0.1114  loss_box_reg_stage2: 0.1889  loss_mask: 0.3209  loss_rpn_cls: 0.05475  loss_rpn_loc: 0.03044  time: 1.6712  data_time: 0.0120  lr: 5.9941e-05  max_mem: 5399M
�[32m[10/30 09:12:58 d2.utils.events]: �[0m eta: 93 days, 22:57:27  iter: 79  total_loss: 1.535  loss_cls_stage0: 0.1515  loss_box_reg_stage0: 0.1364  loss_cls_stage1: 0.1358  loss_box_reg_stage1: 0.2226  loss_cls_stage2: 0.1069  loss_box_reg_stage2: 0.1885  loss_mask: 0.3302  loss_rpn_cls: 0.07802  loss_rpn_loc: 0.07687  time: 1.6715  data_time: 0.0156  lr: 7.9921e-05  max_mem: 5399M
�[32m[10/30 09:13:31 d2.utils.events]: �[0m eta: 93 days, 17:59:07  iter: 99  total_loss: 1.319  loss_cls_stage0: 0.1346  loss_box_reg_stage0: 0.1144  loss_cls_stage1: 0.1248  loss_box_reg_stage1: 0.187  loss_cls_stage2: 0.105  loss_box_reg_stage2: 0.1718  loss_mask: 0.3285  loss_rpn_cls: 0.05186  loss_rpn_loc: 0.03403  time: 1.6697  data_time: 0.0213  lr: 9.9901e-05  max_mem: 5399M
�[32m[10/30 09:14:04 d2.utils.events]: �[0m eta: 93 days, 17:58:33  iter: 119  total_loss: 1.682  loss_cls_stage0: 0.1725  loss_box_reg_stage0: 0.1358  loss_cls_stage1: 0.1589  loss_box_reg_stage1: 0.2261  loss_cls_stage2: 0.1269  loss_box_reg_stage2: 0.2219  loss_mask: 0.3572  loss_rpn_cls: 0.06889  loss_rpn_loc: 0.0487  time: 1.6710  data_time: 0.0113  lr: 0.00011988  max_mem: 5399M
�[32m[10/30 09:14:38 d2.utils.events]: �[0m eta: 93 days, 17:57:59  iter: 139  total_loss: 1.394  loss_cls_stage0: 0.1522  loss_box_reg_stage0: 0.1316  loss_cls_stage1: 0.1398  loss_box_reg_stage1: 0.2191  loss_cls_stage2: 0.1099  loss_box_reg_stage2: 0.2092  loss_mask: 0.345  loss_rpn_cls: 0.07794  loss_rpn_loc: 0.03985  time: 1.6720  data_time: 0.0112  lr: 0.00013986  max_mem: 5399M
�[32m[10/30 09:15:12 d2.utils.events]: �[0m eta: 93 days, 20:35:18  iter: 159  total_loss: 1.5  loss_cls_stage0: 0.1406  loss_box_reg_stage0: 0.1463  loss_cls_stage1: 0.1342  loss_box_reg_stage1: 0.2143  loss_cls_stage2: 0.1046  loss_box_reg_stage2: 0.1847  loss_mask: 0.3773  loss_rpn_cls: 0.08846  loss_rpn_loc: 0.08194  time: 1.6745  data_time: 0.0173  lr: 0.00015984  max_mem: 5399M
�[32m[10/30 09:15:46 d2.utils.events]: �[0m eta: 94 days, 4:09:06  iter: 179  total_loss: 1.287  loss_cls_stage0: 0.1404  loss_box_reg_stage0: 0.1164  loss_cls_stage1: 0.1243  loss_box_reg_stage1: 0.1726  loss_cls_stage2: 0.09927  loss_box_reg_stage2: 0.1681  loss_mask: 0.3522  loss_rpn_cls: 0.07609  loss_rpn_loc: 0.03907  time: 1.6765  data_time: 0.0213  lr: 0.00017982  max_mem: 5399M
�[32m[10/30 09:16:20 d2.utils.events]: �[0m eta: 94 days, 12:09:30  iter: 199  total_loss: 1.473  loss_cls_stage0: 0.1469  loss_box_reg_stage0: 0.1618  loss_cls_stage1: 0.1322  loss_box_reg_stage1: 0.2393  loss_cls_stage2: 0.1058  loss_box_reg_stage2: 0.2108  loss_mask: 0.3255  loss_rpn_cls: 0.06662  loss_rpn_loc: 0.04274  time: 1.6804  data_time: 0.0176  lr: 0.0001998  max_mem: 5399M
�[32m[10/30 09:16:54 d2.utils.events]: �[0m eta: 94 days, 11:41:45  iter: 219  total_loss: 1.306  loss_cls_stage0: 0.1379  loss_box_reg_stage0: 0.124  loss_cls_stage1: 0.1201  loss_box_reg_stage1: 0.1725  loss_cls_stage2: 0.08453  loss_box_reg_stage2: 0.144  loss_mask: 0.3274  loss_rpn_cls: 0.05961  loss_rpn_loc: 0.03886  time: 1.6806  data_time: 0.0107  lr: 0.00021978  max_mem: 5399M
�[32m[10/30 09:17:28 d2.utils.events]: �[0m eta: 94 days, 1:40:46  iter: 239  total_loss: 1.384  loss_cls_stage0: 0.1399  loss_box_reg_stage0: 0.1413  loss_cls_stage1: 0.1545  loss_box_reg_stage1: 0.2154  loss_cls_stage2: 0.118  loss_box_reg_stage2: 0.1902  loss_mask: 0.3323  loss_rpn_cls: 0.06578  loss_rpn_loc: 0.03895  time: 1.6821  data_time: 0.0208  lr: 0.00023976  max_mem: 5454M
�[32m[10/30 09:18:01 d2.utils.events]: �[0m eta: 93 days, 23:12:23  iter: 259  total_loss: 1.459  loss_cls_stage0: 0.1345  loss_box_reg_stage0: 0.1329  loss_cls_stage1: 0.1217  loss_box_reg_stage1: 0.2196  loss_cls_stage2: 0.0931  loss_box_reg_stage2: 0.1612  loss_mask: 0.3642  loss_rpn_cls: 0.06662  loss_rpn_loc: 0.03586  time: 1.6809  data_time: 0.0170  lr: 0.00025974  max_mem: 5454M
�[32m[10/30 09:18:34 d2.utils.events]: �[0m eta: 93 days, 22:24:20  iter: 279  total_loss: 1.231  loss_cls_stage0: 0.1245  loss_box_reg_stage0: 0.1082  loss_cls_stage1: 0.1141  loss_box_reg_stage1: 0.1529  loss_cls_stage2: 0.09167  loss_box_reg_stage2: 0.1483  loss_mask: 0.353  loss_rpn_cls: 0.06064  loss_rpn_loc: 0.03457  time: 1.6786  data_time: 0.0178  lr: 0.00027972  max_mem: 5454M
�[32m[10/30 09:19:08 d2.utils.events]: �[0m eta: 94 days, 0:10:43  iter: 299  total_loss: 1.291  loss_cls_stage0: 0.1332  loss_box_reg_stage0: 0.1348  loss_cls_stage1: 0.1255  loss_box_reg_stage1: 0.1774  loss_cls_stage2: 0.1009  loss_box_reg_stage2: 0.1818  loss_mask: 0.3333  loss_rpn_cls: 0.05646  loss_rpn_loc: 0.03325  time: 1.6792  data_time: 0.0182  lr: 0.0002997  max_mem: 5454M
�[32m[10/30 09:19:42 d2.utils.events]: �[0m eta: 94 days, 3:03:44  iter: 319  total_loss: 1.316  loss_cls_stage0: 0.1324  loss_box_reg_stage0: 0.1191  loss_cls_stage1: 0.1128  loss_box_reg_stage1: 0.1972  loss_cls_stage2: 0.0952  loss_box_reg_stage2: 0.1663  loss_mask: 0.3272  loss_rpn_cls: 0.0594  loss_rpn_loc: 0.03189  time: 1.6802  data_time: 0.0172  lr: 0.00031968  max_mem: 5454M
�[32m[10/30 09:20:16 d2.utils.events]: �[0m eta: 94 days, 11:20:53  iter: 339  total_loss: 1.247  loss_cls_stage0: 0.1213  loss_box_reg_stage0: 0.1047  loss_cls_stage1: 0.1157  loss_box_reg_stage1: 0.1902  loss_cls_stage2: 0.08859  loss_box_reg_stage2: 0.162  loss_mask: 0.3225  loss_rpn_cls: 0.05357  loss_rpn_loc: 0.02806  time: 1.6826  data_time: 0.0153  lr: 0.00033966  max_mem: 5454M
�[32m[10/30 09:20:50 d2.utils.events]: �[0m eta: 94 days, 11:20:19  iter: 359  total_loss: 1.111  loss_cls_stage0: 0.1049  loss_box_reg_stage0: 0.1111  loss_cls_stage1: 0.1036  loss_box_reg_stage1: 0.1479  loss_cls_stage2: 0.08123  loss_box_reg_stage2: 0.1115  loss_mask: 0.3693  loss_rpn_cls: 0.05582  loss_rpn_loc: 0.03008  time: 1.6837  data_time: 0.0231  lr: 0.00035964  max_mem: 5454M
�[32m[10/30 09:21:24 d2.utils.events]: �[0m eta: 94 days, 6:08:29  iter: 379  total_loss: 1.441  loss_cls_stage0: 0.1426  loss_box_reg_stage0: 0.1395  loss_cls_stage1: 0.1345  loss_box_reg_stage1: 0.2225  loss_cls_stage2: 0.1022  loss_box_reg_stage2: 0.1674  loss_mask: 0.3623  loss_rpn_cls: 0.06826  loss_rpn_loc: 0.05271  time: 1.6829  data_time: 0.0119  lr: 0.00037962  max_mem: 5454M
�[32m[10/30 09:21:57 d2.utils.events]: �[0m eta: 94 days, 6:07:55  iter: 399  total_loss: 1.186  loss_cls_stage0: 0.1234  loss_box_reg_stage0: 0.1196  loss_cls_stage1: 0.1129  loss_box_reg_stage1: 0.2094  loss_cls_stage2: 0.08939  loss_box_reg_stage2: 0.142  loss_mask: 0.3652  loss_rpn_cls: 0.05497  loss_rpn_loc: 0.02361  time: 1.6828  data_time: 0.0116  lr: 0.0003996  max_mem: 5454M
�[32m[10/30 09:22:31 d2.utils.events]: �[0m eta: 94 days, 4:05:23  iter: 419  total_loss: 1.403  loss_cls_stage0: 0.1366  loss_box_reg_stage0: 0.1251  loss_cls_stage1: 0.1245  loss_box_reg_stage1: 0.1895  loss_cls_stage2: 0.1001  loss_box_reg_stage2: 0.1568  loss_mask: 0.3633  loss_rpn_cls: 0.06662  loss_rpn_loc: 0.04672  time: 1.6840  data_time: 0.0298  lr: 0.00041958  max_mem: 5454M
�[32m[10/30 09:23:06 d2.utils.events]: �[0m eta: 94 days, 6:06:47  iter: 439  total_loss: 1.433  loss_cls_stage0: 0.1501  loss_box_reg_stage0: 0.1439  loss_cls_stage1: 0.1482  loss_box_reg_stage1: 0.2309  loss_cls_stage2: 0.1225  loss_box_reg_stage2: 0.1901  loss_mask: 0.3302  loss_rpn_cls: 0.07146  loss_rpn_loc: 0.04994  time: 1.6849  data_time: 0.0114  lr: 0.00043956  max_mem: 5454M
�[32m[10/30 09:23:39 d2.utils.events]: �[0m eta: 94 days, 6:06:14  iter: 459  total_loss: 1.412  loss_cls_stage0: 0.1369  loss_box_reg_stage0: 0.1215  loss_cls_stage1: 0.1254  loss_box_reg_stage1: 0.192  loss_cls_stage2: 0.09993  loss_box_reg_stage2: 0.1599  loss_mask: 0.3518  loss_rpn_cls: 0.06124  loss_rpn_loc: 0.05265  time: 1.6850  data_time: 0.0201  lr: 0.00045954  max_mem: 5454M
�[32m[10/30 09:24:13 d2.utils.events]: �[0m eta: 94 days, 6:05:40  iter: 479  total_loss: 1.377  loss_cls_stage0: 0.1298  loss_box_reg_stage0: 0.1217  loss_cls_stage1: 0.1163  loss_box_reg_stage1: 0.1613  loss_cls_stage2: 0.08562  loss_box_reg_stage2: 0.1609  loss_mask: 0.3426  loss_rpn_cls: 0.07383  loss_rpn_loc: 0.02403  time: 1.6846  data_time: 0.0115  lr: 0.00047952  max_mem: 5454M
�[32m[10/30 09:24:47 d2.utils.events]: �[0m eta: 94 days, 3:04:11  iter: 499  total_loss: 1.32  loss_cls_stage0: 0.138  loss_box_reg_stage0: 0.1287  loss_cls_stage1: 0.1239  loss_box_reg_stage1: 0.1797  loss_cls_stage2: 0.0938  loss_box_reg_stage2: 0.1556  loss_mask: 0.3511  loss_rpn_cls: 0.0622  loss_rpn_loc: 0.03781  time: 1.6844  data_time: 0.0342  lr: 0.0004995  max_mem: 5454M
�[32m[10/30 09:25:20 d2.utils.events]: �[0m eta: 94 days, 1:57:46  iter: 519  total_loss: 1.382  loss_cls_stage0: 0.1302  loss_box_reg_stage0: 0.118  loss_cls_stage1: 0.1199  loss_box_reg_stage1: 0.179  loss_cls_stage2: 0.09493  loss_box_reg_stage2: 0.1601  loss_mask: 0.3889  loss_rpn_cls: 0.08635  loss_rpn_loc: 0.05547  time: 1.6832  data_time: 0.0109  lr: 0.00051948  max_mem: 5454M
�[32m[10/30 09:25:53 d2.utils.events]: �[0m eta: 94 days, 1:14:24  iter: 539  total_loss: 1.379  loss_cls_stage0: 0.1458  loss_box_reg_stage0: 0.1238  loss_cls_stage1: 0.1353  loss_box_reg_stage1: 0.1792  loss_cls_stage2: 0.1068  loss_box_reg_stage2: 0.139  loss_mask: 0.3619  loss_rpn_cls: 0.06552  loss_rpn_loc: 0.03715  time: 1.6829  data_time: 0.0116  lr: 0.00053946  max_mem: 5454M
�[32m[10/30 09:26:27 d2.utils.events]: �[0m eta: 94 days, 0:51:55  iter: 559  total_loss: 1.452  loss_cls_stage0: 0.1577  loss_box_reg_stage0: 0.1369  loss_cls_stage1: 0.1372  loss_box_reg_stage1: 0.1904  loss_cls_stage2: 0.1015  loss_box_reg_stage2: 0.1649  loss_mask: 0.3601  loss_rpn_cls: 0.1183  loss_rpn_loc: 0.07869  time: 1.6834  data_time: 0.0180  lr: 0.00055944  max_mem: 5454M
�[32m[10/30 09:27:01 d2.utils.events]: �[0m eta: 94 days, 1:13:17  iter: 579  total_loss: 1.361  loss_cls_stage0: 0.1355  loss_box_reg_stage0: 0.1221  loss_cls_stage1: 0.122  loss_box_reg_stage1: 0.1893  loss_cls_stage2: 0.09452  loss_box_reg_stage2: 0.1628  loss_mask: 0.3822  loss_rpn_cls: 0.07821  loss_rpn_loc: 0.04815  time: 1.6836  data_time: 0.0172  lr: 0.00057942  max_mem: 5454M
�[32m[10/30 09:27:35 d2.utils.events]: �[0m eta: 94 days, 0:06:23  iter: 599  total_loss: 1.462  loss_cls_stage0: 0.1511  loss_box_reg_stage0: 0.138  loss_cls_stage1: 0.1344  loss_box_reg_stage1: 0.2324  loss_cls_stage2: 0.1086  loss_box_reg_stage2: 0.1945  loss_mask: 0.3584  loss_rpn_cls: 0.06088  loss_rpn_loc: 0.03592  time: 1.6840  data_time: 0.0176  lr: 0.0005994  max_mem: 5454M
�[32m[10/30 09:28:08 d2.utils.events]: �[0m eta: 93 days, 23:10:51  iter: 619  total_loss: 1.33  loss_cls_stage0: 0.1314  loss_box_reg_stage0: 0.1131  loss_cls_stage1: 0.1386  loss_box_reg_stage1: 0.2028  loss_cls_stage2: 0.09973  loss_box_reg_stage2: 0.165  loss_mask: 0.3493  loss_rpn_cls: 0.05843  loss_rpn_loc: 0.04256  time: 1.6831  data_time: 0.0159  lr: 0.00061938  max_mem: 5454M
�[32m[10/30 09:28:42 d2.utils.events]: �[0m eta: 93 days, 23:35:02  iter: 639  total_loss: 1.331  loss_cls_stage0: 0.1326  loss_box_reg_stage0: 0.1332  loss_cls_stage1: 0.1269  loss_box_reg_stage1: 0.2033  loss_cls_stage2: 0.1012  loss_box_reg_stage2: 0.1818  loss_mask: 0.3848  loss_rpn_cls: 0.04729  loss_rpn_loc: 0.03483  time: 1.6834  data_time: 0.0204  lr: 0.00063936  max_mem: 5454M
�[32m[10/30 09:29:15 d2.utils.events]: �[0m eta: 93 days, 22:41:51  iter: 659  total_loss: 1.158  loss_cls_stage0: 0.1173  loss_box_reg_stage0: 0.1134  loss_cls_stage1: 0.1135  loss_box_reg_stage1: 0.1725  loss_cls_stage2: 0.0808  loss_box_reg_stage2: 0.1402  loss_mask: 0.3294  loss_rpn_cls: 0.07481  loss_rpn_loc: 0.03418  time: 1.6825  data_time: 0.0109  lr: 0.00065934  max_mem: 5454M
�[32m[10/30 09:29:49 d2.utils.events]: �[0m eta: 93 days, 23:29:48  iter: 679  total_loss: 1.254  loss_cls_stage0: 0.1293  loss_box_reg_stage0: 0.1217  loss_cls_stage1: 0.122  loss_box_reg_stage1: 0.1932  loss_cls_stage2: 0.09515  loss_box_reg_stage2: 0.1858  loss_mask: 0.3153  loss_rpn_cls: 0.05741  loss_rpn_loc: 0.02868  time: 1.6832  data_time: 0.0233  lr: 0.00067932  max_mem: 5454M
�[32m[10/30 09:30:22 d2.utils.events]: �[0m eta: 93 days, 23:29:14  iter: 699  total_loss: 1.521  loss_cls_stage0: 0.1597  loss_box_reg_stage0: 0.1319  loss_cls_stage1: 0.1482  loss_box_reg_stage1: 0.2064  loss_cls_stage2: 0.1198  loss_box_reg_stage2: 0.2122  loss_mask: 0.3319  loss_rpn_cls: 0.07749  loss_rpn_loc: 0.04584  time: 1.6825  data_time: 0.0246  lr: 0.0006993  max_mem: 5454M
�[32m[10/30 09:30:55 d2.utils.events]: �[0m eta: 93 days, 22:40:09  iter: 719  total_loss: 1.275  loss_cls_stage0: 0.1266  loss_box_reg_stage0: 0.1247  loss_cls_stage1: 0.1212  loss_box_reg_stage1: 0.1926  loss_cls_stage2: 0.0987  loss_box_reg_stage2: 0.1661  loss_mask: 0.3235  loss_rpn_cls: 0.05645  loss_rpn_loc: 0.03682  time: 1.6812  data_time: 0.0118  lr: 0.00071928  max_mem: 5454M
�[32m[10/30 09:31:28 d2.utils.events]: �[0m eta: 93 days, 22:22:23  iter: 739  total_loss: 1.179  loss_cls_stage0: 0.1106  loss_box_reg_stage0: 0.09679  loss_cls_stage1: 0.1036  loss_box_reg_stage1: 0.1453  loss_cls_stage2: 0.07586  loss_box_reg_stage2: 0.1381  loss_mask: 0.3588  loss_rpn_cls: 0.06573  loss_rpn_loc: 0.02569  time: 1.6809  data_time: 0.0233  lr: 0.00073926  max_mem: 5454M
�[32m[10/30 09:32:02 d2.utils.events]: �[0m eta: 93 days, 22:21:49  iter: 759  total_loss: 1.329  loss_cls_stage0: 0.1386  loss_box_reg_stage0: 0.1268  loss_cls_stage1: 0.1312  loss_box_reg_stage1: 0.1891  loss_cls_stage2: 0.09901  loss_box_reg_stage2: 0.1587  loss_mask: 0.3458  loss_rpn_cls: 0.06608  loss_rpn_loc: 0.03759  time: 1.6805  data_time: 0.0118  lr: 0.00075924  max_mem: 5454M
�[32m[10/30 09:32:35 d2.utils.events]: �[0m eta: 93 days, 22:38:28  iter: 779  total_loss: 1.434  loss_cls_stage0: 0.1431  loss_box_reg_stage0: 0.1325  loss_cls_stage1: 0.1279  loss_box_reg_stage1: 0.2131  loss_cls_stage2: 0.1021  loss_box_reg_stage2: 0.1879  loss_mask: 0.3574  loss_rpn_cls: 0.05451  loss_rpn_loc: 0.02936  time: 1.6803  data_time: 0.0188  lr: 0.00077922  max_mem: 5454M
�[32m[10/30 09:33:09 d2.utils.events]: �[0m eta: 93 days, 22:03:24  iter: 799  total_loss: 1.323  loss_cls_stage0: 0.1359  loss_box_reg_stage0: 0.1185  loss_cls_stage1: 0.1228  loss_box_reg_stage1: 0.1651  loss_cls_stage2: 0.1017  loss_box_reg_stage2: 0.1621  loss_mask: 0.3594  loss_rpn_cls: 0.06889  loss_rpn_loc: 0.05088  time: 1.6801  data_time: 0.0112  lr: 0.0007992  max_mem: 5454M
�[32m[10/30 09:33:42 d2.utils.events]: �[0m eta: 93 days, 21:54:08  iter: 819  total_loss: 1.32  loss_cls_stage0: 0.139  loss_box_reg_stage0: 0.1214  loss_cls_stage1: 0.1311  loss_box_reg_stage1: 0.1989  loss_cls_stage2: 0.1071  loss_box_reg_stage2: 0.187  loss_mask: 0.354  loss_rpn_cls: 0.06861  loss_rpn_loc: 0.02494  time: 1.6800  data_time: 0.0183  lr: 0.00081918  max_mem: 5454M
�[32m[10/30 09:34:16 d2.utils.events]: �[0m eta: 93 days, 21:46:59  iter: 839  total_loss: 1.553  loss_cls_stage0: 0.1662  loss_box_reg_stage0: 0.1449  loss_cls_stage1: 0.147  loss_box_reg_stage1: 0.2218  loss_cls_stage2: 0.1179  loss_box_reg_stage2: 0.1969  loss_mask: 0.3669  loss_rpn_cls: 0.07662  loss_rpn_loc: 0.03717  time: 1.6799  data_time: 0.0118  lr: 0.00083916  max_mem: 5454M
�[32m[10/30 09:34:50 d2.utils.events]: �[0m eta: 93 days, 21:53:00  iter: 859  total_loss: 1.485  loss_cls_stage0: 0.1529  loss_box_reg_stage0: 0.1529  loss_cls_stage1: 0.1308  loss_box_reg_stage1: 0.1956  loss_cls_stage2: 0.09598  loss_box_reg_stage2: 0.1574  loss_mask: 0.3462  loss_rpn_cls: 0.05826  loss_rpn_loc: 0.03976  time: 1.6802  data_time: 0.0118  lr: 0.00085914  max_mem: 5454M
�[32m[10/30 09:35:24 d2.utils.events]: �[0m eta: 93 days, 22:06:01  iter: 879  total_loss: 1.359  loss_cls_stage0: 0.1376  loss_box_reg_stage0: 0.1037  loss_cls_stage1: 0.128  loss_box_reg_stage1: 0.1756  loss_cls_stage2: 0.1059  loss_box_reg_stage2: 0.1653  loss_mask: 0.3403  loss_rpn_cls: 0.07281  loss_rpn_loc: 0.0433  time: 1.6807  data_time: 0.0249  lr: 0.00087912  max_mem: 5454M
�[32m[10/30 09:35:57 d2.utils.events]: �[0m eta: 93 days, 22:17:53  iter: 899  total_loss: 1.449  loss_cls_stage0: 0.1437  loss_box_reg_stage0: 0.1376  loss_cls_stage1: 0.1376  loss_box_reg_stage1: 0.2304  loss_cls_stage2: 0.114  loss_box_reg_stage2: 0.1613  loss_mask: 0.3856  loss_rpn_cls: 0.07976  loss_rpn_loc: 0.03473  time: 1.6807  data_time: 0.0170  lr: 0.0008991  max_mem: 5454M
�[32m[10/30 09:36:31 d2.utils.events]: �[0m eta: 93 days, 22:00:02  iter: 919  total_loss: 1.538  loss_cls_stage0: 0.1835  loss_box_reg_stage0: 0.171  loss_cls_stage1: 0.1604  loss_box_reg_stage1: 0.246  loss_cls_stage2: 0.1228  loss_box_reg_stage2: 0.1801  loss_mask: 0.3574  loss_rpn_cls: 0.09227  loss_rpn_loc: 0.04029  time: 1.6809  data_time: 0.0165  lr: 0.00091908  max_mem: 5454M
�[32m[10/30 09:37:04 d2.utils.events]: �[0m eta: 93 days, 21:44:11  iter: 939  total_loss: 1.191  loss_cls_stage0: 0.1241  loss_box_reg_stage0: 0.1003  loss_cls_stage1: 0.1069  loss_box_reg_stage1: 0.1671  loss_cls_stage2: 0.08436  loss_box_reg_stage2: 0.1301  loss_mask: 0.4012  loss_rpn_cls: 0.06618  loss_rpn_loc: 0.02752  time: 1.6801  data_time: 0.0112  lr: 0.00093906  max_mem: 5454M
�[32m[10/30 09:37:38 d2.utils.events]: �[0m eta: 93 days, 21:50:11  iter: 959  total_loss: 1.432  loss_cls_stage0: 0.1414  loss_box_reg_stage0: 0.1367  loss_cls_stage1: 0.1366  loss_box_reg_stage1: 0.2257  loss_cls_stage2: 0.1092  loss_box_reg_stage2: 0.203  loss_mask: 0.3664  loss_rpn_cls: 0.07144  loss_rpn_loc: 0.04353  time: 1.6807  data_time: 0.0126  lr: 0.00095904  max_mem: 5454M
�[32m[10/30 09:38:12 d2.utils.events]: �[0m eta: 93 days, 22:03:12  iter: 979  total_loss: 1.52  loss_cls_stage0: 0.1655  loss_box_reg_stage0: 0.1634  loss_cls_stage1: 0.1502  loss_box_reg_stage1: 0.2283  loss_cls_stage2: 0.1171  loss_box_reg_stage2: 0.1845  loss_mask: 0.3591  loss_rpn_cls: 0.06892  loss_rpn_loc: 0.05121  time: 1.6808  data_time: 0.0257  lr: 0.00097902  max_mem: 5454M

Why is that is there anything I am missing here ?

[ppwwyyxx]

The default learning rate warmup is 1000 (SOLVER.WARMUP_ITERS) so it is expected to increase for 1000 iterations.