pointnet2_sem_seg.txt

2019-12-19 00:04:45,363 - Model - INFO - PARAMETER ...
2019-12-19 00:04:45,363 - Model - INFO - Namespace(batch_size=12, decay_rate=0.0001, epoch=1024, gpu='0', learning_rate=0.001, log_dir='pointnet2_sem_seg', lr_decay=0.7, model='pointnet2_sem_seg', npoint=8192, optimizer='Adam', step_size=200, test_area=5, with_rgb=True)
2019-12-19 00:06:46,885 - Model - INFO - The number of training data is: 204
2019-12-19 00:06:46,886 - Model - INFO - The number of test data is: 68
2019-12-19 00:06:46,918 - Model - INFO - No existing model, starting training from scratch...
2019-12-19 00:06:46,926 - Model - INFO - **** Epoch 1 (1/1024) ****
2019-12-19 00:06:46,926 - Model - INFO - Learning rate:0.001000
2019-12-19 00:07:07,765 - Model - INFO - Training mean loss: 2.287401
2019-12-19 00:07:07,765 - Model - INFO - Training accuracy: 0.362436
2019-12-19 00:07:07,765 - Model - INFO - Save model...
2019-12-19 00:07:07,765 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:07:07,787 - Model - INFO - Saving model....
2019-12-19 00:07:07,788 - Model - INFO - ---- EPOCH 001 EVALUATION ----
2019-12-19 00:07:16,671 - Model - INFO - Eval mean loss: 2.520301
2019-12-19 00:07:16,671 - Model - INFO - Eval accuracy: 0.245946
2019-12-19 00:07:16,671 - Model - INFO - **** Epoch 2 (2/1024) ****
2019-12-19 00:07:16,671 - Model - INFO - Learning rate:0.001000
2019-12-19 00:07:35,012 - Model - INFO - Training mean loss: 1.830290
2019-12-19 00:07:35,012 - Model - INFO - Training accuracy: 0.561885
2019-12-19 00:07:35,014 - Model - INFO - ---- EPOCH 002 EVALUATION ----
2019-12-19 00:07:43,940 - Model - INFO - Eval mean loss: 2.238219
2019-12-19 00:07:43,941 - Model - INFO - Eval accuracy: 0.316971
2019-12-19 00:07:43,941 - Model - INFO - **** Epoch 3 (3/1024) ****
2019-12-19 00:07:43,941 - Model - INFO - Learning rate:0.001000
2019-12-19 00:08:02,990 - Model - INFO - Training mean loss: 1.599239
2019-12-19 00:08:02,990 - Model - INFO - Training accuracy: 0.610791
2019-12-19 00:08:02,991 - Model - INFO - ---- EPOCH 003 EVALUATION ----
2019-12-19 00:08:11,783 - Model - INFO - Eval mean loss: 1.665767
2019-12-19 00:08:11,783 - Model - INFO - Eval accuracy: 0.545258
2019-12-19 00:08:11,783 - Model - INFO - **** Epoch 4 (4/1024) ****
2019-12-19 00:08:11,783 - Model - INFO - Learning rate:0.001000
2019-12-19 00:08:29,701 - Model - INFO - Training mean loss: 1.505883
2019-12-19 00:08:29,701 - Model - INFO - Training accuracy: 0.613904
2019-12-19 00:08:29,703 - Model - INFO - ---- EPOCH 004 EVALUATION ----
2019-12-19 00:08:38,394 - Model - INFO - Eval mean loss: 1.502146
2019-12-19 00:08:38,394 - Model - INFO - Eval accuracy: 0.576421
2019-12-19 00:08:38,394 - Model - INFO - **** Epoch 5 (5/1024) ****
2019-12-19 00:08:38,394 - Model - INFO - Learning rate:0.001000
2019-12-19 00:08:58,560 - Model - INFO - Training mean loss: 1.380373
2019-12-19 00:08:58,560 - Model - INFO - Training accuracy: 0.642477
2019-12-19 00:08:58,562 - Model - INFO - ---- EPOCH 005 EVALUATION ----
2019-12-19 00:09:07,447 - Model - INFO - Eval mean loss: 1.349192
2019-12-19 00:09:07,447 - Model - INFO - Eval accuracy: 0.618139
2019-12-19 00:09:07,447 - Model - INFO - **** Epoch 6 (6/1024) ****
2019-12-19 00:09:07,447 - Model - INFO - Learning rate:0.001000
2019-12-19 00:09:26,044 - Model - INFO - Training mean loss: 1.379027
2019-12-19 00:09:26,044 - Model - INFO - Training accuracy: 0.635040
2019-12-19 00:09:26,045 - Model - INFO - ---- EPOCH 006 EVALUATION ----
2019-12-19 00:09:35,352 - Model - INFO - Eval mean loss: 1.388630
2019-12-19 00:09:35,352 - Model - INFO - Eval accuracy: 0.593936
2019-12-19 00:09:35,352 - Model - INFO - **** Epoch 7 (7/1024) ****
2019-12-19 00:09:35,352 - Model - INFO - Learning rate:0.001000
2019-12-19 00:09:54,550 - Model - INFO - Training mean loss: 1.246822
2019-12-19 00:09:54,550 - Model - INFO - Training accuracy: 0.660244
2019-12-19 00:09:54,551 - Model - INFO - ---- EPOCH 007 EVALUATION ----
2019-12-19 00:10:03,305 - Model - INFO - Eval mean loss: 1.319785
2019-12-19 00:10:03,305 - Model - INFO - Eval accuracy: 0.632824
2019-12-19 00:10:03,305 - Model - INFO - **** Epoch 8 (8/1024) ****
2019-12-19 00:10:03,306 - Model - INFO - Learning rate:0.001000
2019-12-19 00:10:21,424 - Model - INFO - Training mean loss: 1.249642
2019-12-19 00:10:21,424 - Model - INFO - Training accuracy: 0.658740
2019-12-19 00:10:21,425 - Model - INFO - ---- EPOCH 008 EVALUATION ----
2019-12-19 00:10:30,255 - Model - INFO - Eval mean loss: 1.222601
2019-12-19 00:10:30,255 - Model - INFO - Eval accuracy: 0.626921
2019-12-19 00:10:30,255 - Model - INFO - **** Epoch 9 (9/1024) ****
2019-12-19 00:10:30,255 - Model - INFO - Learning rate:0.001000
2019-12-19 00:10:49,158 - Model - INFO - Training mean loss: 1.212116
2019-12-19 00:10:49,158 - Model - INFO - Training accuracy: 0.673926
2019-12-19 00:10:49,159 - Model - INFO - ---- EPOCH 009 EVALUATION ----
2019-12-19 00:10:58,398 - Model - INFO - Eval mean loss: 1.180939
2019-12-19 00:10:58,398 - Model - INFO - Eval accuracy: 0.647683
2019-12-19 00:10:58,398 - Model - INFO - **** Epoch 10 (10/1024) ****
2019-12-19 00:10:58,398 - Model - INFO - Learning rate:0.001000
2019-12-19 00:11:17,540 - Model - INFO - Training mean loss: 1.188693
2019-12-19 00:11:17,541 - Model - INFO - Training accuracy: 0.683770
2019-12-19 00:11:17,542 - Model - INFO - ---- EPOCH 010 EVALUATION ----
2019-12-19 00:11:26,166 - Model - INFO - Eval mean loss: 1.280007
2019-12-19 00:11:26,167 - Model - INFO - Eval accuracy: 0.632689
2019-12-19 00:11:26,167 - Model - INFO - **** Epoch 11 (11/1024) ****
2019-12-19 00:11:26,167 - Model - INFO - Learning rate:0.001000
2019-12-19 00:11:44,186 - Model - INFO - Training mean loss: 1.176551
2019-12-19 00:11:44,186 - Model - INFO - Training accuracy: 0.683985
2019-12-19 00:11:44,186 - Model - INFO - Save model...
2019-12-19 00:11:44,187 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:11:44,210 - Model - INFO - Saving model....
2019-12-19 00:11:44,211 - Model - INFO - ---- EPOCH 011 EVALUATION ----
2019-12-19 00:11:52,805 - Model - INFO - Eval mean loss: 1.122901
2019-12-19 00:11:52,806 - Model - INFO - Eval accuracy: 0.654292
2019-12-19 00:11:52,806 - Model - INFO - **** Epoch 12 (12/1024) ****
2019-12-19 00:11:52,806 - Model - INFO - Learning rate:0.001000
2019-12-19 00:12:15,081 - Model - INFO - Training mean loss: 1.112739
2019-12-19 00:12:15,081 - Model - INFO - Training accuracy: 0.694725
2019-12-19 00:12:15,083 - Model - INFO - ---- EPOCH 012 EVALUATION ----
2019-12-19 00:12:24,226 - Model - INFO - Eval mean loss: 1.124394
2019-12-19 00:12:24,226 - Model - INFO - Eval accuracy: 0.671904
2019-12-19 00:12:24,226 - Model - INFO - **** Epoch 13 (13/1024) ****
2019-12-19 00:12:24,226 - Model - INFO - Learning rate:0.001000
2019-12-19 00:12:43,091 - Model - INFO - Training mean loss: 1.199801
2019-12-19 00:12:43,091 - Model - INFO - Training accuracy: 0.675860
2019-12-19 00:12:43,092 - Model - INFO - ---- EPOCH 013 EVALUATION ----
2019-12-19 00:12:52,099 - Model - INFO - Eval mean loss: 0.998747
2019-12-19 00:12:52,099 - Model - INFO - Eval accuracy: 0.690040
2019-12-19 00:12:52,099 - Model - INFO - **** Epoch 14 (14/1024) ****
2019-12-19 00:12:52,099 - Model - INFO - Learning rate:0.001000
2019-12-19 00:13:09,588 - Model - INFO - Training mean loss: 1.095500
2019-12-19 00:13:09,588 - Model - INFO - Training accuracy: 0.701958
2019-12-19 00:13:09,590 - Model - INFO - ---- EPOCH 014 EVALUATION ----
2019-12-19 00:13:18,656 - Model - INFO - Eval mean loss: 1.010715
2019-12-19 00:13:18,656 - Model - INFO - Eval accuracy: 0.679035
2019-12-19 00:13:18,657 - Model - INFO - **** Epoch 15 (15/1024) ****
2019-12-19 00:13:18,657 - Model - INFO - Learning rate:0.001000
2019-12-19 00:13:38,090 - Model - INFO - Training mean loss: 1.076122
2019-12-19 00:13:38,091 - Model - INFO - Training accuracy: 0.712707
2019-12-19 00:13:38,092 - Model - INFO - ---- EPOCH 015 EVALUATION ----
2019-12-19 00:13:47,119 - Model - INFO - Eval mean loss: 1.173726
2019-12-19 00:13:47,119 - Model - INFO - Eval accuracy: 0.619120
2019-12-19 00:13:47,119 - Model - INFO - **** Epoch 16 (16/1024) ****
2019-12-19 00:13:47,119 - Model - INFO - Learning rate:0.001000
2019-12-19 00:14:05,572 - Model - INFO - Training mean loss: 1.021115
2019-12-19 00:14:05,573 - Model - INFO - Training accuracy: 0.722265
2019-12-19 00:14:05,574 - Model - INFO - ---- EPOCH 016 EVALUATION ----
2019-12-19 00:14:14,669 - Model - INFO - Eval mean loss: 1.056048
2019-12-19 00:14:14,669 - Model - INFO - Eval accuracy: 0.668594
2019-12-19 00:14:14,669 - Model - INFO - **** Epoch 17 (17/1024) ****
2019-12-19 00:14:14,669 - Model - INFO - Learning rate:0.001000
2019-12-19 00:14:33,084 - Model - INFO - Training mean loss: 1.039893
2019-12-19 00:14:33,084 - Model - INFO - Training accuracy: 0.713020
2019-12-19 00:14:33,086 - Model - INFO - ---- EPOCH 017 EVALUATION ----
2019-12-19 00:14:41,937 - Model - INFO - Eval mean loss: 1.000425
2019-12-19 00:14:41,937 - Model - INFO - Eval accuracy: 0.682392
2019-12-19 00:14:41,937 - Model - INFO - **** Epoch 18 (18/1024) ****
2019-12-19 00:14:41,937 - Model - INFO - Learning rate:0.001000
2019-12-19 00:14:59,759 - Model - INFO - Training mean loss: 0.942300
2019-12-19 00:14:59,759 - Model - INFO - Training accuracy: 0.741404
2019-12-19 00:14:59,761 - Model - INFO - ---- EPOCH 018 EVALUATION ----
2019-12-19 00:15:08,740 - Model - INFO - Eval mean loss: 1.012480
2019-12-19 00:15:08,740 - Model - INFO - Eval accuracy: 0.687124
2019-12-19 00:15:08,740 - Model - INFO - **** Epoch 19 (19/1024) ****
2019-12-19 00:15:08,740 - Model - INFO - Learning rate:0.001000
2019-12-19 00:15:26,739 - Model - INFO - Training mean loss: 1.005903
2019-12-19 00:15:26,739 - Model - INFO - Training accuracy: 0.724112
2019-12-19 00:15:26,740 - Model - INFO - ---- EPOCH 019 EVALUATION ----
2019-12-19 00:15:35,743 - Model - INFO - Eval mean loss: 0.971977
2019-12-19 00:15:35,743 - Model - INFO - Eval accuracy: 0.684341
2019-12-19 00:15:35,744 - Model - INFO - **** Epoch 20 (20/1024) ****
2019-12-19 00:15:35,744 - Model - INFO - Learning rate:0.001000
2019-12-19 00:15:55,530 - Model - INFO - Training mean loss: 0.982653
2019-12-19 00:15:55,530 - Model - INFO - Training accuracy: 0.731166
2019-12-19 00:15:55,532 - Model - INFO - ---- EPOCH 020 EVALUATION ----
2019-12-19 00:16:04,391 - Model - INFO - Eval mean loss: 1.012301
2019-12-19 00:16:04,391 - Model - INFO - Eval accuracy: 0.678318
2019-12-19 00:16:04,391 - Model - INFO - **** Epoch 21 (21/1024) ****
2019-12-19 00:16:04,391 - Model - INFO - Learning rate:0.001000
2019-12-19 00:16:25,108 - Model - INFO - Training mean loss: 0.999086
2019-12-19 00:16:25,108 - Model - INFO - Training accuracy: 0.720369
2019-12-19 00:16:25,108 - Model - INFO - Save model...
2019-12-19 00:16:25,108 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:16:25,130 - Model - INFO - Saving model....
2019-12-19 00:16:25,132 - Model - INFO - ---- EPOCH 021 EVALUATION ----
2019-12-19 00:16:33,577 - Model - INFO - Eval mean loss: 1.006095
2019-12-19 00:16:33,577 - Model - INFO - Eval accuracy: 0.679535
2019-12-19 00:16:33,577 - Model - INFO - **** Epoch 22 (22/1024) ****
2019-12-19 00:16:33,577 - Model - INFO - Learning rate:0.001000
2019-12-19 00:16:51,895 - Model - INFO - Training mean loss: 0.931664
2019-12-19 00:16:51,896 - Model - INFO - Training accuracy: 0.738536
2019-12-19 00:16:51,897 - Model - INFO - ---- EPOCH 022 EVALUATION ----
2019-12-19 00:17:00,384 - Model - INFO - Eval mean loss: 1.049629
2019-12-19 00:17:00,384 - Model - INFO - Eval accuracy: 0.674515
2019-12-19 00:17:00,384 - Model - INFO - **** Epoch 23 (23/1024) ****
2019-12-19 00:17:00,384 - Model - INFO - Learning rate:0.001000
2019-12-19 00:17:18,147 - Model - INFO - Training mean loss: 0.950471
2019-12-19 00:17:18,148 - Model - INFO - Training accuracy: 0.738983
2019-12-19 00:17:18,149 - Model - INFO - ---- EPOCH 023 EVALUATION ----
2019-12-19 00:17:26,594 - Model - INFO - Eval mean loss: 0.994406
2019-12-19 00:17:26,594 - Model - INFO - Eval accuracy: 0.679281
2019-12-19 00:17:26,595 - Model - INFO - **** Epoch 24 (24/1024) ****
2019-12-19 00:17:26,595 - Model - INFO - Learning rate:0.001000
2019-12-19 00:17:44,160 - Model - INFO - Training mean loss: 0.929777
2019-12-19 00:17:44,160 - Model - INFO - Training accuracy: 0.739227
2019-12-19 00:17:44,161 - Model - INFO - ---- EPOCH 024 EVALUATION ----
2019-12-19 00:17:52,695 - Model - INFO - Eval mean loss: 1.100343
2019-12-19 00:17:52,695 - Model - INFO - Eval accuracy: 0.660219
2019-12-19 00:17:52,695 - Model - INFO - **** Epoch 25 (25/1024) ****
2019-12-19 00:17:52,695 - Model - INFO - Learning rate:0.001000
2019-12-19 00:18:12,793 - Model - INFO - Training mean loss: 0.904562
2019-12-19 00:18:12,793 - Model - INFO - Training accuracy: 0.747264
2019-12-19 00:18:12,795 - Model - INFO - ---- EPOCH 025 EVALUATION ----
2019-12-19 00:18:21,293 - Model - INFO - Eval mean loss: 1.010045
2019-12-19 00:18:21,293 - Model - INFO - Eval accuracy: 0.686128
2019-12-19 00:18:21,294 - Model - INFO - **** Epoch 26 (26/1024) ****
2019-12-19 00:18:21,294 - Model - INFO - Learning rate:0.001000
2019-12-19 00:18:39,822 - Model - INFO - Training mean loss: 0.879846
2019-12-19 00:18:39,823 - Model - INFO - Training accuracy: 0.753218
2019-12-19 00:18:39,824 - Model - INFO - ---- EPOCH 026 EVALUATION ----
2019-12-19 00:18:48,271 - Model - INFO - Eval mean loss: 0.845104
2019-12-19 00:18:48,271 - Model - INFO - Eval accuracy: 0.704030
2019-12-19 00:18:48,271 - Model - INFO - **** Epoch 27 (27/1024) ****
2019-12-19 00:18:48,271 - Model - INFO - Learning rate:0.001000
2019-12-19 00:19:05,839 - Model - INFO - Training mean loss: 0.937816
2019-12-19 00:19:05,839 - Model - INFO - Training accuracy: 0.741997
2019-12-19 00:19:05,841 - Model - INFO - ---- EPOCH 027 EVALUATION ----
2019-12-19 00:19:14,298 - Model - INFO - Eval mean loss: 1.024256
2019-12-19 00:19:14,298 - Model - INFO - Eval accuracy: 0.670764
2019-12-19 00:19:14,298 - Model - INFO - **** Epoch 28 (28/1024) ****
2019-12-19 00:19:14,299 - Model - INFO - Learning rate:0.001000
2019-12-19 00:19:31,615 - Model - INFO - Training mean loss: 0.851460
2019-12-19 00:19:31,615 - Model - INFO - Training accuracy: 0.760761
2019-12-19 00:19:31,616 - Model - INFO - ---- EPOCH 028 EVALUATION ----
2019-12-19 00:19:40,034 - Model - INFO - Eval mean loss: 0.962794
2019-12-19 00:19:40,035 - Model - INFO - Eval accuracy: 0.702299
2019-12-19 00:19:40,035 - Model - INFO - **** Epoch 29 (29/1024) ****
2019-12-19 00:19:40,035 - Model - INFO - Learning rate:0.001000
2019-12-19 00:19:58,319 - Model - INFO - Training mean loss: 0.880931
2019-12-19 00:19:58,319 - Model - INFO - Training accuracy: 0.751518
2019-12-19 00:19:58,320 - Model - INFO - ---- EPOCH 029 EVALUATION ----
2019-12-19 00:20:06,804 - Model - INFO - Eval mean loss: 1.049320
2019-12-19 00:20:06,804 - Model - INFO - Eval accuracy: 0.672387
2019-12-19 00:20:06,804 - Model - INFO - **** Epoch 30 (30/1024) ****
2019-12-19 00:20:06,804 - Model - INFO - Learning rate:0.001000
2019-12-19 00:20:24,296 - Model - INFO - Training mean loss: 0.856547
2019-12-19 00:20:24,297 - Model - INFO - Training accuracy: 0.761614
2019-12-19 00:20:24,299 - Model - INFO - ---- EPOCH 030 EVALUATION ----
2019-12-19 00:20:32,854 - Model - INFO - Eval mean loss: 0.879569
2019-12-19 00:20:32,854 - Model - INFO - Eval accuracy: 0.707828
2019-12-19 00:20:32,854 - Model - INFO - **** Epoch 31 (31/1024) ****
2019-12-19 00:20:32,854 - Model - INFO - Learning rate:0.001000
2019-12-19 00:20:50,764 - Model - INFO - Training mean loss: 0.819871
2019-12-19 00:20:50,764 - Model - INFO - Training accuracy: 0.772497
2019-12-19 00:20:50,765 - Model - INFO - Save model...
2019-12-19 00:20:50,765 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:20:50,790 - Model - INFO - Saving model....
2019-12-19 00:20:50,792 - Model - INFO - ---- EPOCH 031 EVALUATION ----
2019-12-19 00:20:59,353 - Model - INFO - Eval mean loss: 0.905005
2019-12-19 00:20:59,353 - Model - INFO - Eval accuracy: 0.724019
2019-12-19 00:20:59,354 - Model - INFO - **** Epoch 32 (32/1024) ****
2019-12-19 00:20:59,354 - Model - INFO - Learning rate:0.001000
2019-12-19 00:21:17,151 - Model - INFO - Training mean loss: 0.844105
2019-12-19 00:21:17,151 - Model - INFO - Training accuracy: 0.763191
2019-12-19 00:21:17,153 - Model - INFO - ---- EPOCH 032 EVALUATION ----
2019-12-19 00:21:25,747 - Model - INFO - Eval mean loss: 0.911888
2019-12-19 00:21:25,748 - Model - INFO - Eval accuracy: 0.718096
2019-12-19 00:21:25,748 - Model - INFO - **** Epoch 33 (33/1024) ****
2019-12-19 00:21:25,748 - Model - INFO - Learning rate:0.001000
2019-12-19 00:21:44,103 - Model - INFO - Training mean loss: 0.869124
2019-12-19 00:21:44,103 - Model - INFO - Training accuracy: 0.753329
2019-12-19 00:21:44,105 - Model - INFO - ---- EPOCH 033 EVALUATION ----
2019-12-19 00:21:52,624 - Model - INFO - Eval mean loss: 0.869182
2019-12-19 00:21:52,624 - Model - INFO - Eval accuracy: 0.715318
2019-12-19 00:21:52,625 - Model - INFO - **** Epoch 34 (34/1024) ****
2019-12-19 00:21:52,625 - Model - INFO - Learning rate:0.001000
2019-12-19 00:22:11,384 - Model - INFO - Training mean loss: 0.834597
2019-12-19 00:22:11,384 - Model - INFO - Training accuracy: 0.759961
2019-12-19 00:22:11,385 - Model - INFO - ---- EPOCH 034 EVALUATION ----
2019-12-19 00:22:19,816 - Model - INFO - Eval mean loss: 0.919840
2019-12-19 00:22:19,816 - Model - INFO - Eval accuracy: 0.695136
2019-12-19 00:22:19,816 - Model - INFO - **** Epoch 35 (35/1024) ****
2019-12-19 00:22:19,816 - Model - INFO - Learning rate:0.001000
2019-12-19 00:22:38,525 - Model - INFO - Training mean loss: 0.756195
2019-12-19 00:22:38,526 - Model - INFO - Training accuracy: 0.784657
2019-12-19 00:22:38,528 - Model - INFO - ---- EPOCH 035 EVALUATION ----
2019-12-19 00:22:47,042 - Model - INFO - Eval mean loss: 0.796333
2019-12-19 00:22:47,042 - Model - INFO - Eval accuracy: 0.723321
2019-12-19 00:22:47,043 - Model - INFO - **** Epoch 36 (36/1024) ****
2019-12-19 00:22:47,043 - Model - INFO - Learning rate:0.001000
2019-12-19 00:23:05,067 - Model - INFO - Training mean loss: 0.824808
2019-12-19 00:23:05,068 - Model - INFO - Training accuracy: 0.767074
2019-12-19 00:23:05,069 - Model - INFO - ---- EPOCH 036 EVALUATION ----
2019-12-19 00:23:13,479 - Model - INFO - Eval mean loss: 0.897540
2019-12-19 00:23:13,479 - Model - INFO - Eval accuracy: 0.710612
2019-12-19 00:23:13,480 - Model - INFO - **** Epoch 37 (37/1024) ****
2019-12-19 00:23:13,480 - Model - INFO - Learning rate:0.001000
2019-12-19 00:23:32,277 - Model - INFO - Training mean loss: 0.815886
2019-12-19 00:23:32,277 - Model - INFO - Training accuracy: 0.768492
2019-12-19 00:23:32,278 - Model - INFO - ---- EPOCH 037 EVALUATION ----
2019-12-19 00:23:40,789 - Model - INFO - Eval mean loss: 0.935712
2019-12-19 00:23:40,789 - Model - INFO - Eval accuracy: 0.709040
2019-12-19 00:23:40,789 - Model - INFO - **** Epoch 38 (38/1024) ****
2019-12-19 00:23:40,789 - Model - INFO - Learning rate:0.001000
2019-12-19 00:23:59,117 - Model - INFO - Training mean loss: 0.784158
2019-12-19 00:23:59,117 - Model - INFO - Training accuracy: 0.772248
2019-12-19 00:23:59,119 - Model - INFO - ---- EPOCH 038 EVALUATION ----
2019-12-19 00:24:07,639 - Model - INFO - Eval mean loss: 0.846364
2019-12-19 00:24:07,639 - Model - INFO - Eval accuracy: 0.746234
2019-12-19 00:24:07,640 - Model - INFO - **** Epoch 39 (39/1024) ****
2019-12-19 00:24:07,640 - Model - INFO - Learning rate:0.001000
2019-12-19 00:24:25,980 - Model - INFO - Training mean loss: 0.793217
2019-12-19 00:24:25,980 - Model - INFO - Training accuracy: 0.777104
2019-12-19 00:24:25,982 - Model - INFO - ---- EPOCH 039 EVALUATION ----
2019-12-19 00:24:34,526 - Model - INFO - Eval mean loss: 0.984057
2019-12-19 00:24:34,526 - Model - INFO - Eval accuracy: 0.693253
2019-12-19 00:24:34,526 - Model - INFO - **** Epoch 40 (40/1024) ****
2019-12-19 00:24:34,526 - Model - INFO - Learning rate:0.001000
2019-12-19 00:24:53,595 - Model - INFO - Training mean loss: 0.773827
2019-12-19 00:24:53,596 - Model - INFO - Training accuracy: 0.785126
2019-12-19 00:24:53,597 - Model - INFO - ---- EPOCH 040 EVALUATION ----
2019-12-19 00:25:02,056 - Model - INFO - Eval mean loss: 0.882469
2019-12-19 00:25:02,057 - Model - INFO - Eval accuracy: 0.693493
2019-12-19 00:25:02,057 - Model - INFO - **** Epoch 41 (41/1024) ****
2019-12-19 00:25:02,057 - Model - INFO - Learning rate:0.001000
2019-12-19 00:25:19,737 - Model - INFO - Training mean loss: 0.767047
2019-12-19 00:25:19,738 - Model - INFO - Training accuracy: 0.780330
2019-12-19 00:25:19,738 - Model - INFO - Save model...
2019-12-19 00:25:19,738 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:25:19,786 - Model - INFO - Saving model....
2019-12-19 00:25:19,788 - Model - INFO - ---- EPOCH 041 EVALUATION ----
2019-12-19 00:25:28,396 - Model - INFO - Eval mean loss: 0.857979
2019-12-19 00:25:28,397 - Model - INFO - Eval accuracy: 0.716541
2019-12-19 00:25:28,397 - Model - INFO - **** Epoch 42 (42/1024) ****
2019-12-19 00:25:28,397 - Model - INFO - Learning rate:0.001000
2019-12-19 00:25:45,607 - Model - INFO - Training mean loss: 0.796528
2019-12-19 00:25:45,607 - Model - INFO - Training accuracy: 0.767540
2019-12-19 00:25:45,609 - Model - INFO - ---- EPOCH 042 EVALUATION ----
2019-12-19 00:25:54,210 - Model - INFO - Eval mean loss: 0.929607
2019-12-19 00:25:54,210 - Model - INFO - Eval accuracy: 0.726786
2019-12-19 00:25:54,211 - Model - INFO - **** Epoch 43 (43/1024) ****
2019-12-19 00:25:54,211 - Model - INFO - Learning rate:0.001000
2019-12-19 00:26:12,731 - Model - INFO - Training mean loss: 0.759589
2019-12-19 00:26:12,731 - Model - INFO - Training accuracy: 0.776277
2019-12-19 00:26:12,733 - Model - INFO - ---- EPOCH 043 EVALUATION ----
2019-12-19 00:26:21,259 - Model - INFO - Eval mean loss: 0.946324
2019-12-19 00:26:21,260 - Model - INFO - Eval accuracy: 0.690645
2019-12-19 00:26:21,260 - Model - INFO - **** Epoch 44 (44/1024) ****
2019-12-19 00:26:21,260 - Model - INFO - Learning rate:0.001000
2019-12-19 00:26:41,775 - Model - INFO - Training mean loss: 0.747207
2019-12-19 00:26:41,776 - Model - INFO - Training accuracy: 0.788240
2019-12-19 00:26:41,778 - Model - INFO - ---- EPOCH 044 EVALUATION ----
2019-12-19 00:26:50,413 - Model - INFO - Eval mean loss: 0.837629
2019-12-19 00:26:50,413 - Model - INFO - Eval accuracy: 0.732022
2019-12-19 00:26:50,413 - Model - INFO - **** Epoch 45 (45/1024) ****
2019-12-19 00:26:50,413 - Model - INFO - Learning rate:0.001000
2019-12-19 00:27:07,542 - Model - INFO - Training mean loss: 0.801621
2019-12-19 00:27:07,542 - Model - INFO - Training accuracy: 0.778389
2019-12-19 00:27:07,544 - Model - INFO - ---- EPOCH 045 EVALUATION ----
2019-12-19 00:27:16,039 - Model - INFO - Eval mean loss: 0.752030
2019-12-19 00:27:16,039 - Model - INFO - Eval accuracy: 0.750887
2019-12-19 00:27:16,039 - Model - INFO - **** Epoch 46 (46/1024) ****
2019-12-19 00:27:16,039 - Model - INFO - Learning rate:0.001000
2019-12-19 00:27:33,522 - Model - INFO - Training mean loss: 0.729569
2019-12-19 00:27:33,522 - Model - INFO - Training accuracy: 0.794944
2019-12-19 00:27:33,524 - Model - INFO - ---- EPOCH 046 EVALUATION ----
2019-12-19 00:27:41,935 - Model - INFO - Eval mean loss: 1.124192
2019-12-19 00:27:41,935 - Model - INFO - Eval accuracy: 0.666534
2019-12-19 00:27:41,935 - Model - INFO - **** Epoch 47 (47/1024) ****
2019-12-19 00:27:41,935 - Model - INFO - Learning rate:0.001000
2019-12-19 00:28:00,607 - Model - INFO - Training mean loss: 0.703683
2019-12-19 00:28:00,607 - Model - INFO - Training accuracy: 0.802234
2019-12-19 00:28:00,608 - Model - INFO - ---- EPOCH 047 EVALUATION ----
2019-12-19 00:28:09,122 - Model - INFO - Eval mean loss: 0.804911
2019-12-19 00:28:09,123 - Model - INFO - Eval accuracy: 0.740855
2019-12-19 00:28:09,123 - Model - INFO - **** Epoch 48 (48/1024) ****
2019-12-19 00:28:09,123 - Model - INFO - Learning rate:0.001000
2019-12-19 00:28:27,326 - Model - INFO - Training mean loss: 0.812203
2019-12-19 00:28:27,326 - Model - INFO - Training accuracy: 0.774357
2019-12-19 00:28:27,328 - Model - INFO - ---- EPOCH 048 EVALUATION ----
2019-12-19 00:28:35,720 - Model - INFO - Eval mean loss: 1.094587
2019-12-19 00:28:35,720 - Model - INFO - Eval accuracy: 0.694029
2019-12-19 00:28:35,720 - Model - INFO - **** Epoch 49 (49/1024) ****
2019-12-19 00:28:35,720 - Model - INFO - Learning rate:0.001000
2019-12-19 00:28:53,281 - Model - INFO - Training mean loss: 0.744673
2019-12-19 00:28:53,281 - Model - INFO - Training accuracy: 0.786357
2019-12-19 00:28:53,283 - Model - INFO - ---- EPOCH 049 EVALUATION ----
2019-12-19 00:29:01,969 - Model - INFO - Eval mean loss: 0.851444
2019-12-19 00:29:01,969 - Model - INFO - Eval accuracy: 0.722727
2019-12-19 00:29:01,970 - Model - INFO - **** Epoch 50 (50/1024) ****
2019-12-19 00:29:01,970 - Model - INFO - Learning rate:0.001000
2019-12-19 00:29:19,752 - Model - INFO - Training mean loss: 0.690305
2019-12-19 00:29:19,752 - Model - INFO - Training accuracy: 0.800182
2019-12-19 00:29:19,753 - Model - INFO - ---- EPOCH 050 EVALUATION ----
2019-12-19 00:29:28,282 - Model - INFO - Eval mean loss: 0.833403
2019-12-19 00:29:28,283 - Model - INFO - Eval accuracy: 0.731493
2019-12-19 00:29:28,283 - Model - INFO - **** Epoch 51 (51/1024) ****
2019-12-19 00:29:28,283 - Model - INFO - Learning rate:0.001000
2019-12-19 00:29:46,913 - Model - INFO - Training mean loss: 0.699340
2019-12-19 00:29:46,913 - Model - INFO - Training accuracy: 0.796733
2019-12-19 00:29:46,913 - Model - INFO - Save model...
2019-12-19 00:29:46,913 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:29:46,937 - Model - INFO - Saving model....
2019-12-19 00:29:46,938 - Model - INFO - ---- EPOCH 051 EVALUATION ----
2019-12-19 00:29:55,314 - Model - INFO - Eval mean loss: 0.996845
2019-12-19 00:29:55,314 - Model - INFO - Eval accuracy: 0.705188
2019-12-19 00:29:55,314 - Model - INFO - **** Epoch 52 (52/1024) ****
2019-12-19 00:29:55,314 - Model - INFO - Learning rate:0.001000
2019-12-19 00:30:12,972 - Model - INFO - Training mean loss: 0.738330
2019-12-19 00:30:12,972 - Model - INFO - Training accuracy: 0.795578
2019-12-19 00:30:12,973 - Model - INFO - ---- EPOCH 052 EVALUATION ----
2019-12-19 00:30:21,424 - Model - INFO - Eval mean loss: 0.887600
2019-12-19 00:30:21,425 - Model - INFO - Eval accuracy: 0.710285
2019-12-19 00:30:21,425 - Model - INFO - **** Epoch 53 (53/1024) ****
2019-12-19 00:30:21,425 - Model - INFO - Learning rate:0.001000
2019-12-19 00:30:38,607 - Model - INFO - Training mean loss: 0.736137
2019-12-19 00:30:38,608 - Model - INFO - Training accuracy: 0.789607
2019-12-19 00:30:38,610 - Model - INFO - ---- EPOCH 053 EVALUATION ----
2019-12-19 00:30:47,106 - Model - INFO - Eval mean loss: 0.954720
2019-12-19 00:30:47,106 - Model - INFO - Eval accuracy: 0.716202
2019-12-19 00:30:47,106 - Model - INFO - **** Epoch 54 (54/1024) ****
2019-12-19 00:30:47,106 - Model - INFO - Learning rate:0.001000
2019-12-19 00:31:05,803 - Model - INFO - Training mean loss: 0.756188
2019-12-19 00:31:05,803 - Model - INFO - Training accuracy: 0.786151
2019-12-19 00:31:05,804 - Model - INFO - ---- EPOCH 054 EVALUATION ----
2019-12-19 00:31:14,214 - Model - INFO - Eval mean loss: 0.849499
2019-12-19 00:31:14,214 - Model - INFO - Eval accuracy: 0.718638
2019-12-19 00:31:14,214 - Model - INFO - **** Epoch 55 (55/1024) ****
2019-12-19 00:31:14,215 - Model - INFO - Learning rate:0.001000
2019-12-19 00:31:32,736 - Model - INFO - Training mean loss: 0.737888
2019-12-19 00:31:32,736 - Model - INFO - Training accuracy: 0.795459
2019-12-19 00:31:32,738 - Model - INFO - ---- EPOCH 055 EVALUATION ----
2019-12-19 00:31:41,108 - Model - INFO - Eval mean loss: 0.938810
2019-12-19 00:31:41,108 - Model - INFO - Eval accuracy: 0.694368
2019-12-19 00:31:41,109 - Model - INFO - **** Epoch 56 (56/1024) ****
2019-12-19 00:31:41,109 - Model - INFO - Learning rate:0.001000
2019-12-19 00:31:59,404 - Model - INFO - Training mean loss: 0.708388
2019-12-19 00:31:59,404 - Model - INFO - Training accuracy: 0.798531
2019-12-19 00:31:59,405 - Model - INFO - ---- EPOCH 056 EVALUATION ----
2019-12-19 00:32:07,862 - Model - INFO - Eval mean loss: 0.731683
2019-12-19 00:32:07,863 - Model - INFO - Eval accuracy: 0.737712
2019-12-19 00:32:07,863 - Model - INFO - **** Epoch 57 (57/1024) ****
2019-12-19 00:32:07,863 - Model - INFO - Learning rate:0.001000
2019-12-19 00:32:25,622 - Model - INFO - Training mean loss: 0.715408
2019-12-19 00:32:25,622 - Model - INFO - Training accuracy: 0.793629
2019-12-19 00:32:25,624 - Model - INFO - ---- EPOCH 057 EVALUATION ----
2019-12-19 00:32:34,233 - Model - INFO - Eval mean loss: 0.851860
2019-12-19 00:32:34,234 - Model - INFO - Eval accuracy: 0.730832
2019-12-19 00:32:34,234 - Model - INFO - **** Epoch 58 (58/1024) ****
2019-12-19 00:32:34,234 - Model - INFO - Learning rate:0.001000
2019-12-19 00:32:53,509 - Model - INFO - Training mean loss: 0.692638
2019-12-19 00:32:53,509 - Model - INFO - Training accuracy: 0.800161
2019-12-19 00:32:53,511 - Model - INFO - ---- EPOCH 058 EVALUATION ----
2019-12-19 00:33:02,088 - Model - INFO - Eval mean loss: 0.840869
2019-12-19 00:33:02,088 - Model - INFO - Eval accuracy: 0.734450
2019-12-19 00:33:02,089 - Model - INFO - **** Epoch 59 (59/1024) ****
2019-12-19 00:33:02,089 - Model - INFO - Learning rate:0.001000
2019-12-19 00:33:19,548 - Model - INFO - Training mean loss: 0.724901
2019-12-19 00:33:19,549 - Model - INFO - Training accuracy: 0.792144
2019-12-19 00:33:19,551 - Model - INFO - ---- EPOCH 059 EVALUATION ----
2019-12-19 00:33:27,954 - Model - INFO - Eval mean loss: 0.726968
2019-12-19 00:33:27,954 - Model - INFO - Eval accuracy: 0.757002
2019-12-19 00:33:27,954 - Model - INFO - **** Epoch 60 (60/1024) ****
2019-12-19 00:33:27,954 - Model - INFO - Learning rate:0.001000
2019-12-19 00:33:46,998 - Model - INFO - Training mean loss: 0.657997
2019-12-19 00:33:46,998 - Model - INFO - Training accuracy: 0.814610
2019-12-19 00:33:47,000 - Model - INFO - ---- EPOCH 060 EVALUATION ----
2019-12-19 00:33:55,528 - Model - INFO - Eval mean loss: 0.887131
2019-12-19 00:33:55,528 - Model - INFO - Eval accuracy: 0.704519
2019-12-19 00:33:55,528 - Model - INFO - **** Epoch 61 (61/1024) ****
2019-12-19 00:33:55,528 - Model - INFO - Learning rate:0.001000
2019-12-19 00:34:14,219 - Model - INFO - Training mean loss: 0.703704
2019-12-19 00:34:14,219 - Model - INFO - Training accuracy: 0.796000
2019-12-19 00:34:14,219 - Model - INFO - Save model...
2019-12-19 00:34:14,219 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:34:14,245 - Model - INFO - Saving model....
2019-12-19 00:34:14,246 - Model - INFO - ---- EPOCH 061 EVALUATION ----
2019-12-19 00:34:22,755 - Model - INFO - Eval mean loss: 0.824919
2019-12-19 00:34:22,756 - Model - INFO - Eval accuracy: 0.748162
2019-12-19 00:34:22,756 - Model - INFO - **** Epoch 62 (62/1024) ****
2019-12-19 00:34:22,756 - Model - INFO - Learning rate:0.001000
2019-12-19 00:34:40,845 - Model - INFO - Training mean loss: 0.644113
2019-12-19 00:34:40,846 - Model - INFO - Training accuracy: 0.810428
2019-12-19 00:34:40,847 - Model - INFO - ---- EPOCH 062 EVALUATION ----
2019-12-19 00:34:49,584 - Model - INFO - Eval mean loss: 0.810995
2019-12-19 00:34:49,584 - Model - INFO - Eval accuracy: 0.719199
2019-12-19 00:34:49,584 - Model - INFO - **** Epoch 63 (63/1024) ****
2019-12-19 00:34:49,584 - Model - INFO - Learning rate:0.001000
2019-12-19 00:35:07,835 - Model - INFO - Training mean loss: 0.691758
2019-12-19 00:35:07,835 - Model - INFO - Training accuracy: 0.803215
2019-12-19 00:35:07,837 - Model - INFO - ---- EPOCH 063 EVALUATION ----
2019-12-19 00:35:16,532 - Model - INFO - Eval mean loss: 0.813289
2019-12-19 00:35:16,532 - Model - INFO - Eval accuracy: 0.746218
2019-12-19 00:35:16,532 - Model - INFO - **** Epoch 64 (64/1024) ****
2019-12-19 00:35:16,532 - Model - INFO - Learning rate:0.001000
2019-12-19 00:35:35,166 - Model - INFO - Training mean loss: 0.674219
2019-12-19 00:35:35,167 - Model - INFO - Training accuracy: 0.801560
2019-12-19 00:35:35,168 - Model - INFO - ---- EPOCH 064 EVALUATION ----
2019-12-19 00:35:43,856 - Model - INFO - Eval mean loss: 1.064966
2019-12-19 00:35:43,856 - Model - INFO - Eval accuracy: 0.700528
2019-12-19 00:35:43,856 - Model - INFO - **** Epoch 65 (65/1024) ****
2019-12-19 00:35:43,856 - Model - INFO - Learning rate:0.001000
2019-12-19 00:36:02,700 - Model - INFO - Training mean loss: 0.667900
2019-12-19 00:36:02,700 - Model - INFO - Training accuracy: 0.809786
2019-12-19 00:36:02,701 - Model - INFO - ---- EPOCH 065 EVALUATION ----
2019-12-19 00:36:11,336 - Model - INFO - Eval mean loss: 0.896719
2019-12-19 00:36:11,336 - Model - INFO - Eval accuracy: 0.718369
2019-12-19 00:36:11,336 - Model - INFO - **** Epoch 66 (66/1024) ****
2019-12-19 00:36:11,336 - Model - INFO - Learning rate:0.001000
2019-12-19 00:36:29,588 - Model - INFO - Training mean loss: 0.670145
2019-12-19 00:36:29,588 - Model - INFO - Training accuracy: 0.806836
2019-12-19 00:36:29,589 - Model - INFO - ---- EPOCH 066 EVALUATION ----
2019-12-19 00:36:38,260 - Model - INFO - Eval mean loss: 0.746913
2019-12-19 00:36:38,261 - Model - INFO - Eval accuracy: 0.741228
2019-12-19 00:36:38,261 - Model - INFO - **** Epoch 67 (67/1024) ****
2019-12-19 00:36:38,261 - Model - INFO - Learning rate:0.001000
2019-12-19 00:36:56,948 - Model - INFO - Training mean loss: 0.664108
2019-12-19 00:36:56,948 - Model - INFO - Training accuracy: 0.806251
2019-12-19 00:36:56,950 - Model - INFO - ---- EPOCH 067 EVALUATION ----
2019-12-19 00:37:05,637 - Model - INFO - Eval mean loss: 0.835587
2019-12-19 00:37:05,638 - Model - INFO - Eval accuracy: 0.737778
2019-12-19 00:37:05,638 - Model - INFO - **** Epoch 68 (68/1024) ****
2019-12-19 00:37:05,638 - Model - INFO - Learning rate:0.001000
2019-12-19 00:37:24,285 - Model - INFO - Training mean loss: 0.702746
2019-12-19 00:37:24,285 - Model - INFO - Training accuracy: 0.801235
2019-12-19 00:37:24,286 - Model - INFO - ---- EPOCH 068 EVALUATION ----
2019-12-19 00:37:32,701 - Model - INFO - Eval mean loss: 0.851666
2019-12-19 00:37:32,701 - Model - INFO - Eval accuracy: 0.719886
2019-12-19 00:37:32,701 - Model - INFO - **** Epoch 69 (69/1024) ****
2019-12-19 00:37:32,701 - Model - INFO - Learning rate:0.001000
2019-12-19 00:37:51,407 - Model - INFO - Training mean loss: 0.675372
2019-12-19 00:37:51,408 - Model - INFO - Training accuracy: 0.798653
2019-12-19 00:37:51,410 - Model - INFO - ---- EPOCH 069 EVALUATION ----
2019-12-19 00:38:00,169 - Model - INFO - Eval mean loss: 0.832235
2019-12-19 00:38:00,170 - Model - INFO - Eval accuracy: 0.749891
2019-12-19 00:38:00,170 - Model - INFO - **** Epoch 70 (70/1024) ****
2019-12-19 00:38:00,170 - Model - INFO - Learning rate:0.001000
2019-12-19 00:38:18,039 - Model - INFO - Training mean loss: 0.626974
2019-12-19 00:38:18,039 - Model - INFO - Training accuracy: 0.818214
2019-12-19 00:38:18,042 - Model - INFO - ---- EPOCH 070 EVALUATION ----
2019-12-19 00:38:26,578 - Model - INFO - Eval mean loss: 0.991246
2019-12-19 00:38:26,578 - Model - INFO - Eval accuracy: 0.680506
2019-12-19 00:38:26,578 - Model - INFO - **** Epoch 71 (71/1024) ****
2019-12-19 00:38:26,579 - Model - INFO - Learning rate:0.001000
2019-12-19 00:38:45,075 - Model - INFO - Training mean loss: 0.695826
2019-12-19 00:38:45,076 - Model - INFO - Training accuracy: 0.799969
2019-12-19 00:38:45,076 - Model - INFO - Save model...
2019-12-19 00:38:45,076 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:38:45,128 - Model - INFO - Saving model....
2019-12-19 00:38:45,130 - Model - INFO - ---- EPOCH 071 EVALUATION ----
2019-12-19 00:38:53,757 - Model - INFO - Eval mean loss: 0.792218
2019-12-19 00:38:53,757 - Model - INFO - Eval accuracy: 0.728214
2019-12-19 00:38:53,757 - Model - INFO - **** Epoch 72 (72/1024) ****
2019-12-19 00:38:53,757 - Model - INFO - Learning rate:0.001000
2019-12-19 00:39:11,146 - Model - INFO - Training mean loss: 0.679383
2019-12-19 00:39:11,146 - Model - INFO - Training accuracy: 0.803685
2019-12-19 00:39:11,148 - Model - INFO - ---- EPOCH 072 EVALUATION ----
2019-12-19 00:39:19,776 - Model - INFO - Eval mean loss: 0.834826
2019-12-19 00:39:19,776 - Model - INFO - Eval accuracy: 0.728331
2019-12-19 00:39:19,777 - Model - INFO - **** Epoch 73 (73/1024) ****
2019-12-19 00:39:19,777 - Model - INFO - Learning rate:0.001000
2019-12-19 00:39:38,539 - Model - INFO - Training mean loss: 0.643808
2019-12-19 00:39:38,539 - Model - INFO - Training accuracy: 0.810873
2019-12-19 00:39:38,540 - Model - INFO - ---- EPOCH 073 EVALUATION ----
2019-12-19 00:39:46,901 - Model - INFO - Eval mean loss: 0.886674
2019-12-19 00:39:46,901 - Model - INFO - Eval accuracy: 0.724559
2019-12-19 00:39:46,901 - Model - INFO - **** Epoch 74 (74/1024) ****
2019-12-19 00:39:46,901 - Model - INFO - Learning rate:0.001000
2019-12-19 00:40:05,402 - Model - INFO - Training mean loss: 0.611742
2019-12-19 00:40:05,403 - Model - INFO - Training accuracy: 0.821138
2019-12-19 00:40:05,404 - Model - INFO - ---- EPOCH 074 EVALUATION ----
2019-12-19 00:40:13,799 - Model - INFO - Eval mean loss: 0.793401
2019-12-19 00:40:13,799 - Model - INFO - Eval accuracy: 0.745388
2019-12-19 00:40:13,799 - Model - INFO - **** Epoch 75 (75/1024) ****
2019-12-19 00:40:13,799 - Model - INFO - Learning rate:0.001000
2019-12-19 00:40:32,077 - Model - INFO - Training mean loss: 0.598434
2019-12-19 00:40:32,077 - Model - INFO - Training accuracy: 0.827163
2019-12-19 00:40:32,078 - Model - INFO - ---- EPOCH 075 EVALUATION ----
2019-12-19 00:40:40,534 - Model - INFO - Eval mean loss: 1.061141
2019-12-19 00:40:40,534 - Model - INFO - Eval accuracy: 0.689024
2019-12-19 00:40:40,535 - Model - INFO - **** Epoch 76 (76/1024) ****
2019-12-19 00:40:40,535 - Model - INFO - Learning rate:0.001000
2019-12-19 00:40:58,213 - Model - INFO - Training mean loss: 0.633318
2019-12-19 00:40:58,213 - Model - INFO - Training accuracy: 0.817006
2019-12-19 00:40:58,215 - Model - INFO - ---- EPOCH 076 EVALUATION ----
2019-12-19 00:41:06,667 - Model - INFO - Eval mean loss: 0.796247
2019-12-19 00:41:06,667 - Model - INFO - Eval accuracy: 0.734173
2019-12-19 00:41:06,667 - Model - INFO - **** Epoch 77 (77/1024) ****
2019-12-19 00:41:06,667 - Model - INFO - Learning rate:0.001000
2019-12-19 00:41:24,219 - Model - INFO - Training mean loss: 0.704358
2019-12-19 00:41:24,219 - Model - INFO - Training accuracy: 0.798941
2019-12-19 00:41:24,221 - Model - INFO - ---- EPOCH 077 EVALUATION ----
2019-12-19 00:41:32,652 - Model - INFO - Eval mean loss: 0.800985
2019-12-19 00:41:32,652 - Model - INFO - Eval accuracy: 0.740397
2019-12-19 00:41:32,652 - Model - INFO - **** Epoch 78 (78/1024) ****
2019-12-19 00:41:32,652 - Model - INFO - Learning rate:0.001000
2019-12-19 00:41:50,953 - Model - INFO - Training mean loss: 0.604424
2019-12-19 00:41:50,953 - Model - INFO - Training accuracy: 0.817021
2019-12-19 00:41:50,955 - Model - INFO - ---- EPOCH 078 EVALUATION ----
2019-12-19 00:41:59,517 - Model - INFO - Eval mean loss: 0.707770
2019-12-19 00:41:59,517 - Model - INFO - Eval accuracy: 0.753957
2019-12-19 00:41:59,517 - Model - INFO - **** Epoch 79 (79/1024) ****
2019-12-19 00:41:59,517 - Model - INFO - Learning rate:0.001000
2019-12-19 00:42:17,530 - Model - INFO - Training mean loss: 0.610459
2019-12-19 00:42:17,530 - Model - INFO - Training accuracy: 0.821947
2019-12-19 00:42:17,531 - Model - INFO - ---- EPOCH 079 EVALUATION ----
2019-12-19 00:42:25,916 - Model - INFO - Eval mean loss: 0.828440
2019-12-19 00:42:25,917 - Model - INFO - Eval accuracy: 0.729445
2019-12-19 00:42:25,917 - Model - INFO - **** Epoch 80 (80/1024) ****
2019-12-19 00:42:25,917 - Model - INFO - Learning rate:0.001000
2019-12-19 00:42:43,867 - Model - INFO - Training mean loss: 0.670957
2019-12-19 00:42:43,867 - Model - INFO - Training accuracy: 0.809534
2019-12-19 00:42:43,869 - Model - INFO - ---- EPOCH 080 EVALUATION ----
2019-12-19 00:42:52,405 - Model - INFO - Eval mean loss: 0.827572
2019-12-19 00:42:52,405 - Model - INFO - Eval accuracy: 0.716170
2019-12-19 00:42:52,405 - Model - INFO - **** Epoch 81 (81/1024) ****
2019-12-19 00:42:52,405 - Model - INFO - Learning rate:0.001000
2019-12-19 00:43:10,029 - Model - INFO - Training mean loss: 0.629838
2019-12-19 00:43:10,029 - Model - INFO - Training accuracy: 0.811505
2019-12-19 00:43:10,029 - Model - INFO - Save model...
2019-12-19 00:43:10,029 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:43:10,054 - Model - INFO - Saving model....
2019-12-19 00:43:10,055 - Model - INFO - ---- EPOCH 081 EVALUATION ----
2019-12-19 00:43:18,402 - Model - INFO - Eval mean loss: 0.792764
2019-12-19 00:43:18,403 - Model - INFO - Eval accuracy: 0.736528
2019-12-19 00:43:18,403 - Model - INFO - **** Epoch 82 (82/1024) ****
2019-12-19 00:43:18,403 - Model - INFO - Learning rate:0.001000
2019-12-19 00:43:36,417 - Model - INFO - Training mean loss: 0.611269
2019-12-19 00:43:36,417 - Model - INFO - Training accuracy: 0.816781
2019-12-19 00:43:36,418 - Model - INFO - ---- EPOCH 082 EVALUATION ----
2019-12-19 00:43:44,959 - Model - INFO - Eval mean loss: 0.828862
2019-12-19 00:43:44,959 - Model - INFO - Eval accuracy: 0.723553
2019-12-19 00:43:44,959 - Model - INFO - **** Epoch 83 (83/1024) ****
2019-12-19 00:43:44,959 - Model - INFO - Learning rate:0.001000
2019-12-19 00:44:02,538 - Model - INFO - Training mean loss: 0.685537
2019-12-19 00:44:02,539 - Model - INFO - Training accuracy: 0.812842
2019-12-19 00:44:02,540 - Model - INFO - ---- EPOCH 083 EVALUATION ----
2019-12-19 00:44:11,129 - Model - INFO - Eval mean loss: 0.842855
2019-12-19 00:44:11,129 - Model - INFO - Eval accuracy: 0.721514
2019-12-19 00:44:11,129 - Model - INFO - **** Epoch 84 (84/1024) ****
2019-12-19 00:44:11,129 - Model - INFO - Learning rate:0.001000
2019-12-19 00:44:28,158 - Model - INFO - Training mean loss: 0.600439
2019-12-19 00:44:28,158 - Model - INFO - Training accuracy: 0.825347
2019-12-19 00:44:28,159 - Model - INFO - ---- EPOCH 084 EVALUATION ----
2019-12-19 00:44:36,591 - Model - INFO - Eval mean loss: 0.893303
2019-12-19 00:44:36,591 - Model - INFO - Eval accuracy: 0.732771
2019-12-19 00:44:36,591 - Model - INFO - **** Epoch 85 (85/1024) ****
2019-12-19 00:44:36,591 - Model - INFO - Learning rate:0.001000
2019-12-19 00:44:54,434 - Model - INFO - Training mean loss: 0.636858
2019-12-19 00:44:54,434 - Model - INFO - Training accuracy: 0.818687
2019-12-19 00:44:54,436 - Model - INFO - ---- EPOCH 085 EVALUATION ----
2019-12-19 00:45:02,937 - Model - INFO - Eval mean loss: 0.950013
2019-12-19 00:45:02,937 - Model - INFO - Eval accuracy: 0.713464
2019-12-19 00:45:02,937 - Model - INFO - **** Epoch 86 (86/1024) ****
2019-12-19 00:45:02,937 - Model - INFO - Learning rate:0.001000
2019-12-19 00:45:21,825 - Model - INFO - Training mean loss: 0.624690
2019-12-19 00:45:21,825 - Model - INFO - Training accuracy: 0.817038
2019-12-19 00:45:21,827 - Model - INFO - ---- EPOCH 086 EVALUATION ----
2019-12-19 00:45:30,222 - Model - INFO - Eval mean loss: 0.901007
2019-12-19 00:45:30,222 - Model - INFO - Eval accuracy: 0.725140
2019-12-19 00:45:30,222 - Model - INFO - **** Epoch 87 (87/1024) ****
2019-12-19 00:45:30,223 - Model - INFO - Learning rate:0.001000
2019-12-19 00:45:48,556 - Model - INFO - Training mean loss: 0.611200
2019-12-19 00:45:48,557 - Model - INFO - Training accuracy: 0.826676
2019-12-19 00:45:48,559 - Model - INFO - ---- EPOCH 087 EVALUATION ----
2019-12-19 00:45:57,101 - Model - INFO - Eval mean loss: 0.745034
2019-12-19 00:45:57,102 - Model - INFO - Eval accuracy: 0.755385
2019-12-19 00:45:57,102 - Model - INFO - **** Epoch 88 (88/1024) ****
2019-12-19 00:45:57,102 - Model - INFO - Learning rate:0.001000
2019-12-19 00:46:14,797 - Model - INFO - Training mean loss: 0.669633
2019-12-19 00:46:14,797 - Model - INFO - Training accuracy: 0.807037
2019-12-19 00:46:14,799 - Model - INFO - ---- EPOCH 088 EVALUATION ----
2019-12-19 00:46:23,284 - Model - INFO - Eval mean loss: 0.840284
2019-12-19 00:46:23,284 - Model - INFO - Eval accuracy: 0.726813
2019-12-19 00:46:23,284 - Model - INFO - **** Epoch 89 (89/1024) ****
2019-12-19 00:46:23,284 - Model - INFO - Learning rate:0.001000
2019-12-19 00:46:41,655 - Model - INFO - Training mean loss: 0.596195
2019-12-19 00:46:41,655 - Model - INFO - Training accuracy: 0.820679
2019-12-19 00:46:41,656 - Model - INFO - ---- EPOCH 089 EVALUATION ----
2019-12-19 00:46:50,106 - Model - INFO - Eval mean loss: 0.764632
2019-12-19 00:46:50,106 - Model - INFO - Eval accuracy: 0.753191
2019-12-19 00:46:50,106 - Model - INFO - **** Epoch 90 (90/1024) ****
2019-12-19 00:46:50,106 - Model - INFO - Learning rate:0.001000
2019-12-19 00:47:07,556 - Model - INFO - Training mean loss: 0.605773
2019-12-19 00:47:07,557 - Model - INFO - Training accuracy: 0.828535
2019-12-19 00:47:07,558 - Model - INFO - ---- EPOCH 090 EVALUATION ----
2019-12-19 00:47:15,996 - Model - INFO - Eval mean loss: 0.869060
2019-12-19 00:47:15,996 - Model - INFO - Eval accuracy: 0.722612
2019-12-19 00:47:15,996 - Model - INFO - **** Epoch 91 (91/1024) ****
2019-12-19 00:47:15,996 - Model - INFO - Learning rate:0.001000
2019-12-19 00:47:33,897 - Model - INFO - Training mean loss: 0.600373
2019-12-19 00:47:33,897 - Model - INFO - Training accuracy: 0.825471
2019-12-19 00:47:33,897 - Model - INFO - Save model...
2019-12-19 00:47:33,897 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:47:33,923 - Model - INFO - Saving model....
2019-12-19 00:47:33,925 - Model - INFO - ---- EPOCH 091 EVALUATION ----
2019-12-19 00:47:42,313 - Model - INFO - Eval mean loss: 0.691473
2019-12-19 00:47:42,313 - Model - INFO - Eval accuracy: 0.771815
2019-12-19 00:47:42,313 - Model - INFO - **** Epoch 92 (92/1024) ****
2019-12-19 00:47:42,313 - Model - INFO - Learning rate:0.001000
2019-12-19 00:47:59,942 - Model - INFO - Training mean loss: 0.595718
2019-12-19 00:47:59,943 - Model - INFO - Training accuracy: 0.827977
2019-12-19 00:47:59,944 - Model - INFO - ---- EPOCH 092 EVALUATION ----
2019-12-19 00:48:08,389 - Model - INFO - Eval mean loss: 0.784622
2019-12-19 00:48:08,389 - Model - INFO - Eval accuracy: 0.742710
2019-12-19 00:48:08,390 - Model - INFO - **** Epoch 93 (93/1024) ****
2019-12-19 00:48:08,390 - Model - INFO - Learning rate:0.001000
2019-12-19 00:48:26,295 - Model - INFO - Training mean loss: 0.596474
2019-12-19 00:48:26,296 - Model - INFO - Training accuracy: 0.820346
2019-12-19 00:48:26,298 - Model - INFO - ---- EPOCH 093 EVALUATION ----
2019-12-19 00:48:34,688 - Model - INFO - Eval mean loss: 0.884386
2019-12-19 00:48:34,689 - Model - INFO - Eval accuracy: 0.731311
2019-12-19 00:48:34,689 - Model - INFO - **** Epoch 94 (94/1024) ****
2019-12-19 00:48:34,689 - Model - INFO - Learning rate:0.001000
2019-12-19 00:48:52,715 - Model - INFO - Training mean loss: 0.521607
2019-12-19 00:48:52,715 - Model - INFO - Training accuracy: 0.845680
2019-12-19 00:48:52,717 - Model - INFO - ---- EPOCH 094 EVALUATION ----
2019-12-19 00:49:01,362 - Model - INFO - Eval mean loss: 0.845613
2019-12-19 00:49:01,362 - Model - INFO - Eval accuracy: 0.729711
2019-12-19 00:49:01,363 - Model - INFO - **** Epoch 95 (95/1024) ****
2019-12-19 00:49:01,363 - Model - INFO - Learning rate:0.001000
2019-12-19 00:49:20,126 - Model - INFO - Training mean loss: 0.584137
2019-12-19 00:49:20,126 - Model - INFO - Training accuracy: 0.826901
2019-12-19 00:49:20,128 - Model - INFO - ---- EPOCH 095 EVALUATION ----
2019-12-19 00:49:28,583 - Model - INFO - Eval mean loss: 0.833994
2019-12-19 00:49:28,584 - Model - INFO - Eval accuracy: 0.739409
2019-12-19 00:49:28,584 - Model - INFO - **** Epoch 96 (96/1024) ****
2019-12-19 00:49:28,584 - Model - INFO - Learning rate:0.001000
2019-12-19 00:49:46,244 - Model - INFO - Training mean loss: 0.590793
2019-12-19 00:49:46,244 - Model - INFO - Training accuracy: 0.823018
2019-12-19 00:49:46,246 - Model - INFO - ---- EPOCH 096 EVALUATION ----
2019-12-19 00:49:54,641 - Model - INFO - Eval mean loss: 0.867990
2019-12-19 00:49:54,641 - Model - INFO - Eval accuracy: 0.724623
2019-12-19 00:49:54,641 - Model - INFO - **** Epoch 97 (97/1024) ****
2019-12-19 00:49:54,641 - Model - INFO - Learning rate:0.001000
2019-12-19 00:50:12,847 - Model - INFO - Training mean loss: 0.597935
2019-12-19 00:50:12,848 - Model - INFO - Training accuracy: 0.831391
2019-12-19 00:50:12,850 - Model - INFO - ---- EPOCH 097 EVALUATION ----
2019-12-19 00:50:21,386 - Model - INFO - Eval mean loss: 0.816568
2019-12-19 00:50:21,387 - Model - INFO - Eval accuracy: 0.715830
2019-12-19 00:50:21,387 - Model - INFO - **** Epoch 98 (98/1024) ****
2019-12-19 00:50:21,387 - Model - INFO - Learning rate:0.001000
2019-12-19 00:50:39,084 - Model - INFO - Training mean loss: 0.600181
2019-12-19 00:50:39,084 - Model - INFO - Training accuracy: 0.819110
2019-12-19 00:50:39,086 - Model - INFO - ---- EPOCH 098 EVALUATION ----
2019-12-19 00:50:47,580 - Model - INFO - Eval mean loss: 0.875187
2019-12-19 00:50:47,581 - Model - INFO - Eval accuracy: 0.734234
2019-12-19 00:50:47,581 - Model - INFO - **** Epoch 99 (99/1024) ****
2019-12-19 00:50:47,581 - Model - INFO - Learning rate:0.001000
2019-12-19 00:51:06,789 - Model - INFO - Training mean loss: 0.571406
2019-12-19 00:51:06,789 - Model - INFO - Training accuracy: 0.834139
2019-12-19 00:51:06,791 - Model - INFO - ---- EPOCH 099 EVALUATION ----
2019-12-19 00:51:15,338 - Model - INFO - Eval mean loss: 0.967763
2019-12-19 00:51:15,338 - Model - INFO - Eval accuracy: 0.679269
2019-12-19 00:51:15,339 - Model - INFO - **** Epoch 100 (100/1024) ****
2019-12-19 00:51:15,339 - Model - INFO - Learning rate:0.001000
2019-12-19 00:51:34,905 - Model - INFO - Training mean loss: 0.584714
2019-12-19 00:51:34,906 - Model - INFO - Training accuracy: 0.818247
2019-12-19 00:51:34,907 - Model - INFO - ---- EPOCH 100 EVALUATION ----
2019-12-19 00:51:43,474 - Model - INFO - Eval mean loss: 0.762422
2019-12-19 00:51:43,474 - Model - INFO - Eval accuracy: 0.740609
2019-12-19 00:51:43,474 - Model - INFO - **** Epoch 101 (101/1024) ****
2019-12-19 00:51:43,474 - Model - INFO - Learning rate:0.001000
2019-12-19 00:52:01,485 - Model - INFO - Training mean loss: 0.591391
2019-12-19 00:52:01,485 - Model - INFO - Training accuracy: 0.827070
2019-12-19 00:52:01,485 - Model - INFO - Save model...
2019-12-19 00:52:01,485 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:52:01,514 - Model - INFO - Saving model....
2019-12-19 00:52:01,515 - Model - INFO - ---- EPOCH 101 EVALUATION ----
2019-12-19 00:52:09,841 - Model - INFO - Eval mean loss: 0.769775
2019-12-19 00:52:09,841 - Model - INFO - Eval accuracy: 0.760120
2019-12-19 00:52:09,841 - Model - INFO - **** Epoch 102 (102/1024) ****
2019-12-19 00:52:09,841 - Model - INFO - Learning rate:0.001000
2019-12-19 00:52:27,963 - Model - INFO - Training mean loss: 0.607305
2019-12-19 00:52:27,963 - Model - INFO - Training accuracy: 0.823327
2019-12-19 00:52:27,965 - Model - INFO - ---- EPOCH 102 EVALUATION ----
2019-12-19 00:52:36,472 - Model - INFO - Eval mean loss: 0.908172
2019-12-19 00:52:36,473 - Model - INFO - Eval accuracy: 0.697935
2019-12-19 00:52:36,473 - Model - INFO - **** Epoch 103 (103/1024) ****
2019-12-19 00:52:36,473 - Model - INFO - Learning rate:0.001000
2019-12-19 00:52:55,213 - Model - INFO - Training mean loss: 0.639645
2019-12-19 00:52:55,213 - Model - INFO - Training accuracy: 0.803199
2019-12-19 00:52:55,215 - Model - INFO - ---- EPOCH 103 EVALUATION ----
2019-12-19 00:53:03,546 - Model - INFO - Eval mean loss: 0.884892
2019-12-19 00:53:03,547 - Model - INFO - Eval accuracy: 0.718119
2019-12-19 00:53:03,547 - Model - INFO - **** Epoch 104 (104/1024) ****
2019-12-19 00:53:03,547 - Model - INFO - Learning rate:0.001000
2019-12-19 00:53:21,918 - Model - INFO - Training mean loss: 0.596711
2019-12-19 00:53:21,919 - Model - INFO - Training accuracy: 0.822966
2019-12-19 00:53:21,920 - Model - INFO - ---- EPOCH 104 EVALUATION ----
2019-12-19 00:53:30,405 - Model - INFO - Eval mean loss: 0.879245
2019-12-19 00:53:30,406 - Model - INFO - Eval accuracy: 0.728984
2019-12-19 00:53:30,406 - Model - INFO - **** Epoch 105 (105/1024) ****
2019-12-19 00:53:30,406 - Model - INFO - Learning rate:0.001000
2019-12-19 00:53:47,866 - Model - INFO - Training mean loss: 0.588096
2019-12-19 00:53:47,867 - Model - INFO - Training accuracy: 0.823825
2019-12-19 00:53:47,868 - Model - INFO - ---- EPOCH 105 EVALUATION ----
2019-12-19 00:53:56,365 - Model - INFO - Eval mean loss: 0.776718
2019-12-19 00:53:56,365 - Model - INFO - Eval accuracy: 0.744663
2019-12-19 00:53:56,365 - Model - INFO - **** Epoch 106 (106/1024) ****
2019-12-19 00:53:56,365 - Model - INFO - Learning rate:0.001000
2019-12-19 00:54:14,819 - Model - INFO - Training mean loss: 0.603488
2019-12-19 00:54:14,820 - Model - INFO - Training accuracy: 0.824826
2019-12-19 00:54:14,822 - Model - INFO - ---- EPOCH 106 EVALUATION ----
2019-12-19 00:54:23,438 - Model - INFO - Eval mean loss: 0.896528
2019-12-19 00:54:23,439 - Model - INFO - Eval accuracy: 0.729335
2019-12-19 00:54:23,439 - Model - INFO - **** Epoch 107 (107/1024) ****
2019-12-19 00:54:23,439 - Model - INFO - Learning rate:0.001000
2019-12-19 00:54:42,047 - Model - INFO - Training mean loss: 0.635869
2019-12-19 00:54:42,047 - Model - INFO - Training accuracy: 0.812820
2019-12-19 00:54:42,049 - Model - INFO - ---- EPOCH 107 EVALUATION ----
2019-12-19 00:54:50,700 - Model - INFO - Eval mean loss: 0.956056
2019-12-19 00:54:50,700 - Model - INFO - Eval accuracy: 0.677838
2019-12-19 00:54:50,700 - Model - INFO - **** Epoch 108 (108/1024) ****
2019-12-19 00:54:50,700 - Model - INFO - Learning rate:0.001000
2019-12-19 00:55:08,328 - Model - INFO - Training mean loss: 0.613993
2019-12-19 00:55:08,328 - Model - INFO - Training accuracy: 0.822111
2019-12-19 00:55:08,330 - Model - INFO - ---- EPOCH 108 EVALUATION ----
2019-12-19 00:55:16,797 - Model - INFO - Eval mean loss: 0.937062
2019-12-19 00:55:16,798 - Model - INFO - Eval accuracy: 0.696574
2019-12-19 00:55:16,798 - Model - INFO - **** Epoch 109 (109/1024) ****
2019-12-19 00:55:16,798 - Model - INFO - Learning rate:0.001000
2019-12-19 00:55:35,254 - Model - INFO - Training mean loss: 0.595543
2019-12-19 00:55:35,254 - Model - INFO - Training accuracy: 0.820379
2019-12-19 00:55:35,255 - Model - INFO - ---- EPOCH 109 EVALUATION ----
2019-12-19 00:55:43,859 - Model - INFO - Eval mean loss: 0.761012
2019-12-19 00:55:43,860 - Model - INFO - Eval accuracy: 0.727815
2019-12-19 00:55:43,860 - Model - INFO - **** Epoch 110 (110/1024) ****
2019-12-19 00:55:43,860 - Model - INFO - Learning rate:0.001000
2019-12-19 00:56:02,376 - Model - INFO - Training mean loss: 0.593521
2019-12-19 00:56:02,376 - Model - INFO - Training accuracy: 0.821877
2019-12-19 00:56:02,378 - Model - INFO - ---- EPOCH 110 EVALUATION ----
2019-12-19 00:56:11,002 - Model - INFO - Eval mean loss: 0.745259
2019-12-19 00:56:11,003 - Model - INFO - Eval accuracy: 0.748439
2019-12-19 00:56:11,003 - Model - INFO - **** Epoch 111 (111/1024) ****
2019-12-19 00:56:11,003 - Model - INFO - Learning rate:0.001000
2019-12-19 00:56:28,922 - Model - INFO - Training mean loss: 0.571142
2019-12-19 00:56:28,923 - Model - INFO - Training accuracy: 0.830753
2019-12-19 00:56:28,923 - Model - INFO - Save model...
2019-12-19 00:56:28,923 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 00:56:28,965 - Model - INFO - Saving model....
2019-12-19 00:56:28,967 - Model - INFO - ---- EPOCH 111 EVALUATION ----
2019-12-19 00:56:37,503 - Model - INFO - Eval mean loss: 0.779381
2019-12-19 00:56:37,504 - Model - INFO - Eval accuracy: 0.745378
2019-12-19 00:56:37,504 - Model - INFO - **** Epoch 112 (112/1024) ****
2019-12-19 00:56:37,504 - Model - INFO - Learning rate:0.001000
2019-12-19 00:56:54,883 - Model - INFO - Training mean loss: 0.624955
2019-12-19 00:56:54,883 - Model - INFO - Training accuracy: 0.815376
2019-12-19 00:56:54,885 - Model - INFO - ---- EPOCH 112 EVALUATION ----
2019-12-19 00:57:03,360 - Model - INFO - Eval mean loss: 0.825503
2019-12-19 00:57:03,360 - Model - INFO - Eval accuracy: 0.744597
2019-12-19 00:57:03,360 - Model - INFO - **** Epoch 113 (113/1024) ****
2019-12-19 00:57:03,360 - Model - INFO - Learning rate:0.001000
2019-12-19 00:57:20,767 - Model - INFO - Training mean loss: 0.564513
2019-12-19 00:57:20,767 - Model - INFO - Training accuracy: 0.827342
2019-12-19 00:57:20,768 - Model - INFO - ---- EPOCH 113 EVALUATION ----
2019-12-19 00:57:29,224 - Model - INFO - Eval mean loss: 0.734082
2019-12-19 00:57:29,224 - Model - INFO - Eval accuracy: 0.757928
2019-12-19 00:57:29,224 - Model - INFO - **** Epoch 114 (114/1024) ****
2019-12-19 00:57:29,225 - Model - INFO - Learning rate:0.001000
2019-12-19 00:57:46,916 - Model - INFO - Training mean loss: 0.592548
2019-12-19 00:57:46,917 - Model - INFO - Training accuracy: 0.828747
2019-12-19 00:57:46,918 - Model - INFO - ---- EPOCH 114 EVALUATION ----
2019-12-19 00:57:55,400 - Model - INFO - Eval mean loss: 0.818961
2019-12-19 00:57:55,401 - Model - INFO - Eval accuracy: 0.713145
2019-12-19 00:57:55,401 - Model - INFO - **** Epoch 115 (115/1024) ****
2019-12-19 00:57:55,401 - Model - INFO - Learning rate:0.001000
2019-12-19 00:58:13,594 - Model - INFO - Training mean loss: 0.581435
2019-12-19 00:58:13,595 - Model - INFO - Training accuracy: 0.820713
2019-12-19 00:58:13,596 - Model - INFO - ---- EPOCH 115 EVALUATION ----
2019-12-19 00:58:22,045 - Model - INFO - Eval mean loss: 0.830422
2019-12-19 00:58:22,045 - Model - INFO - Eval accuracy: 0.750231
2019-12-19 00:58:22,045 - Model - INFO - **** Epoch 116 (116/1024) ****
2019-12-19 00:58:22,045 - Model - INFO - Learning rate:0.001000
2019-12-19 00:58:40,132 - Model - INFO - Training mean loss: 0.507563
2019-12-19 00:58:40,132 - Model - INFO - Training accuracy: 0.853338
2019-12-19 00:58:40,134 - Model - INFO - ---- EPOCH 116 EVALUATION ----
2019-12-19 00:58:48,412 - Model - INFO - Eval mean loss: 0.905575
2019-12-19 00:58:48,412 - Model - INFO - Eval accuracy: 0.750651
2019-12-19 00:58:48,412 - Model - INFO - **** Epoch 117 (117/1024) ****
2019-12-19 00:58:48,413 - Model - INFO - Learning rate:0.001000
2019-12-19 00:59:06,567 - Model - INFO - Training mean loss: 0.557641
2019-12-19 00:59:06,567 - Model - INFO - Training accuracy: 0.829098
2019-12-19 00:59:06,569 - Model - INFO - ---- EPOCH 117 EVALUATION ----
2019-12-19 00:59:15,071 - Model - INFO - Eval mean loss: 0.809974
2019-12-19 00:59:15,071 - Model - INFO - Eval accuracy: 0.723874
2019-12-19 00:59:15,072 - Model - INFO - **** Epoch 118 (118/1024) ****
2019-12-19 00:59:15,072 - Model - INFO - Learning rate:0.001000
2019-12-19 00:59:32,813 - Model - INFO - Training mean loss: 0.543870
2019-12-19 00:59:32,814 - Model - INFO - Training accuracy: 0.831010
2019-12-19 00:59:32,815 - Model - INFO - ---- EPOCH 118 EVALUATION ----
2019-12-19 00:59:41,357 - Model - INFO - Eval mean loss: 0.877805
2019-12-19 00:59:41,357 - Model - INFO - Eval accuracy: 0.727125
2019-12-19 00:59:41,357 - Model - INFO - **** Epoch 119 (119/1024) ****
2019-12-19 00:59:41,357 - Model - INFO - Learning rate:0.001000
2019-12-19 00:59:59,198 - Model - INFO - Training mean loss: 0.613151
2019-12-19 00:59:59,198 - Model - INFO - Training accuracy: 0.825320
2019-12-19 00:59:59,200 - Model - INFO - ---- EPOCH 119 EVALUATION ----
2019-12-19 01:00:07,497 - Model - INFO - Eval mean loss: 0.850620
2019-12-19 01:00:07,497 - Model - INFO - Eval accuracy: 0.732047
2019-12-19 01:00:07,497 - Model - INFO - **** Epoch 120 (120/1024) ****
2019-12-19 01:00:07,497 - Model - INFO - Learning rate:0.001000
2019-12-19 01:00:25,283 - Model - INFO - Training mean loss: 0.577366
2019-12-19 01:00:25,283 - Model - INFO - Training accuracy: 0.824377
2019-12-19 01:00:25,285 - Model - INFO - ---- EPOCH 120 EVALUATION ----
2019-12-19 01:00:33,778 - Model - INFO - Eval mean loss: 0.885369
2019-12-19 01:00:33,779 - Model - INFO - Eval accuracy: 0.731383
2019-12-19 01:00:33,779 - Model - INFO - **** Epoch 121 (121/1024) ****
2019-12-19 01:00:33,779 - Model - INFO - Learning rate:0.001000
2019-12-19 01:00:51,007 - Model - INFO - Training mean loss: 0.560346
2019-12-19 01:00:51,007 - Model - INFO - Training accuracy: 0.837520
2019-12-19 01:00:51,007 - Model - INFO - Save model...
2019-12-19 01:00:51,007 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:00:51,031 - Model - INFO - Saving model....
2019-12-19 01:00:51,032 - Model - INFO - ---- EPOCH 121 EVALUATION ----
2019-12-19 01:00:59,607 - Model - INFO - Eval mean loss: 0.721747
2019-12-19 01:00:59,607 - Model - INFO - Eval accuracy: 0.763863
2019-12-19 01:00:59,607 - Model - INFO - **** Epoch 122 (122/1024) ****
2019-12-19 01:00:59,607 - Model - INFO - Learning rate:0.001000
2019-12-19 01:01:17,613 - Model - INFO - Training mean loss: 0.534061
2019-12-19 01:01:17,614 - Model - INFO - Training accuracy: 0.840968
2019-12-19 01:01:17,616 - Model - INFO - ---- EPOCH 122 EVALUATION ----
2019-12-19 01:01:26,273 - Model - INFO - Eval mean loss: 0.720235
2019-12-19 01:01:26,274 - Model - INFO - Eval accuracy: 0.753184
2019-12-19 01:01:26,274 - Model - INFO - **** Epoch 123 (123/1024) ****
2019-12-19 01:01:26,274 - Model - INFO - Learning rate:0.001000
2019-12-19 01:01:43,995 - Model - INFO - Training mean loss: 0.552124
2019-12-19 01:01:43,995 - Model - INFO - Training accuracy: 0.834644
2019-12-19 01:01:43,996 - Model - INFO - ---- EPOCH 123 EVALUATION ----
2019-12-19 01:01:52,422 - Model - INFO - Eval mean loss: 0.827481
2019-12-19 01:01:52,422 - Model - INFO - Eval accuracy: 0.731991
2019-12-19 01:01:52,422 - Model - INFO - **** Epoch 124 (124/1024) ****
2019-12-19 01:01:52,422 - Model - INFO - Learning rate:0.001000
2019-12-19 01:02:10,053 - Model - INFO - Training mean loss: 0.556412
2019-12-19 01:02:10,053 - Model - INFO - Training accuracy: 0.833775
2019-12-19 01:02:10,055 - Model - INFO - ---- EPOCH 124 EVALUATION ----
2019-12-19 01:02:18,465 - Model - INFO - Eval mean loss: 0.862099
2019-12-19 01:02:18,465 - Model - INFO - Eval accuracy: 0.721746
2019-12-19 01:02:18,465 - Model - INFO - **** Epoch 125 (125/1024) ****
2019-12-19 01:02:18,465 - Model - INFO - Learning rate:0.001000
2019-12-19 01:02:35,803 - Model - INFO - Training mean loss: 0.550309
2019-12-19 01:02:35,803 - Model - INFO - Training accuracy: 0.837182
2019-12-19 01:02:35,804 - Model - INFO - ---- EPOCH 125 EVALUATION ----
2019-12-19 01:02:44,275 - Model - INFO - Eval mean loss: 0.858290
2019-12-19 01:02:44,275 - Model - INFO - Eval accuracy: 0.742301
2019-12-19 01:02:44,275 - Model - INFO - **** Epoch 126 (126/1024) ****
2019-12-19 01:02:44,275 - Model - INFO - Learning rate:0.001000
2019-12-19 01:03:02,392 - Model - INFO - Training mean loss: 0.553769
2019-12-19 01:03:02,393 - Model - INFO - Training accuracy: 0.833041
2019-12-19 01:03:02,395 - Model - INFO - ---- EPOCH 126 EVALUATION ----
2019-12-19 01:03:10,990 - Model - INFO - Eval mean loss: 0.764657
2019-12-19 01:03:10,991 - Model - INFO - Eval accuracy: 0.762485
2019-12-19 01:03:10,991 - Model - INFO - **** Epoch 127 (127/1024) ****
2019-12-19 01:03:10,991 - Model - INFO - Learning rate:0.001000
2019-12-19 01:03:28,216 - Model - INFO - Training mean loss: 0.595001
2019-12-19 01:03:28,216 - Model - INFO - Training accuracy: 0.823825
2019-12-19 01:03:28,218 - Model - INFO - ---- EPOCH 127 EVALUATION ----
2019-12-19 01:03:36,599 - Model - INFO - Eval mean loss: 0.861992
2019-12-19 01:03:36,599 - Model - INFO - Eval accuracy: 0.750275
2019-12-19 01:03:36,599 - Model - INFO - **** Epoch 128 (128/1024) ****
2019-12-19 01:03:36,599 - Model - INFO - Learning rate:0.001000
2019-12-19 01:03:53,981 - Model - INFO - Training mean loss: 0.573485
2019-12-19 01:03:53,982 - Model - INFO - Training accuracy: 0.836623
2019-12-19 01:03:53,983 - Model - INFO - ---- EPOCH 128 EVALUATION ----
2019-12-19 01:04:02,538 - Model - INFO - Eval mean loss: 0.916740
2019-12-19 01:04:02,538 - Model - INFO - Eval accuracy: 0.722438
2019-12-19 01:04:02,538 - Model - INFO - **** Epoch 129 (129/1024) ****
2019-12-19 01:04:02,538 - Model - INFO - Learning rate:0.001000
2019-12-19 01:04:21,248 - Model - INFO - Training mean loss: 0.589378
2019-12-19 01:04:21,249 - Model - INFO - Training accuracy: 0.820429
2019-12-19 01:04:21,251 - Model - INFO - ---- EPOCH 129 EVALUATION ----
2019-12-19 01:04:29,781 - Model - INFO - Eval mean loss: 0.863582
2019-12-19 01:04:29,782 - Model - INFO - Eval accuracy: 0.725240
2019-12-19 01:04:29,782 - Model - INFO - **** Epoch 130 (130/1024) ****
2019-12-19 01:04:29,782 - Model - INFO - Learning rate:0.001000
2019-12-19 01:04:47,224 - Model - INFO - Training mean loss: 0.544009
2019-12-19 01:04:47,224 - Model - INFO - Training accuracy: 0.839446
2019-12-19 01:04:47,225 - Model - INFO - ---- EPOCH 130 EVALUATION ----
2019-12-19 01:04:55,700 - Model - INFO - Eval mean loss: 0.825207
2019-12-19 01:04:55,700 - Model - INFO - Eval accuracy: 0.748116
2019-12-19 01:04:55,700 - Model - INFO - **** Epoch 131 (131/1024) ****
2019-12-19 01:04:55,701 - Model - INFO - Learning rate:0.001000
2019-12-19 01:05:13,877 - Model - INFO - Training mean loss: 0.574321
2019-12-19 01:05:13,877 - Model - INFO - Training accuracy: 0.825949
2019-12-19 01:05:13,877 - Model - INFO - Save model...
2019-12-19 01:05:13,877 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:05:13,902 - Model - INFO - Saving model....
2019-12-19 01:05:13,903 - Model - INFO - ---- EPOCH 131 EVALUATION ----
2019-12-19 01:05:22,297 - Model - INFO - Eval mean loss: 0.726607
2019-12-19 01:05:22,298 - Model - INFO - Eval accuracy: 0.744446
2019-12-19 01:05:22,298 - Model - INFO - **** Epoch 132 (132/1024) ****
2019-12-19 01:05:22,298 - Model - INFO - Learning rate:0.001000
2019-12-19 01:05:40,299 - Model - INFO - Training mean loss: 0.542134
2019-12-19 01:05:40,299 - Model - INFO - Training accuracy: 0.836474
2019-12-19 01:05:40,301 - Model - INFO - ---- EPOCH 132 EVALUATION ----
2019-12-19 01:05:48,724 - Model - INFO - Eval mean loss: 0.761093
2019-12-19 01:05:48,724 - Model - INFO - Eval accuracy: 0.758353
2019-12-19 01:05:48,725 - Model - INFO - **** Epoch 133 (133/1024) ****
2019-12-19 01:05:48,725 - Model - INFO - Learning rate:0.001000
2019-12-19 01:06:06,875 - Model - INFO - Training mean loss: 0.572267
2019-12-19 01:06:06,875 - Model - INFO - Training accuracy: 0.832955
2019-12-19 01:06:06,876 - Model - INFO - ---- EPOCH 133 EVALUATION ----
2019-12-19 01:06:15,380 - Model - INFO - Eval mean loss: 0.744210
2019-12-19 01:06:15,380 - Model - INFO - Eval accuracy: 0.750441
2019-12-19 01:06:15,380 - Model - INFO - **** Epoch 134 (134/1024) ****
2019-12-19 01:06:15,380 - Model - INFO - Learning rate:0.001000
2019-12-19 01:06:34,098 - Model - INFO - Training mean loss: 0.508191
2019-12-19 01:06:34,098 - Model - INFO - Training accuracy: 0.846678
2019-12-19 01:06:34,099 - Model - INFO - ---- EPOCH 134 EVALUATION ----
2019-12-19 01:06:42,480 - Model - INFO - Eval mean loss: 0.838401
2019-12-19 01:06:42,480 - Model - INFO - Eval accuracy: 0.733841
2019-12-19 01:06:42,480 - Model - INFO - **** Epoch 135 (135/1024) ****
2019-12-19 01:06:42,480 - Model - INFO - Learning rate:0.001000
2019-12-19 01:07:00,401 - Model - INFO - Training mean loss: 0.584676
2019-12-19 01:07:00,401 - Model - INFO - Training accuracy: 0.831394
2019-12-19 01:07:00,403 - Model - INFO - ---- EPOCH 135 EVALUATION ----
2019-12-19 01:07:08,743 - Model - INFO - Eval mean loss: 0.660544
2019-12-19 01:07:08,744 - Model - INFO - Eval accuracy: 0.760566
2019-12-19 01:07:08,744 - Model - INFO - **** Epoch 136 (136/1024) ****
2019-12-19 01:07:08,744 - Model - INFO - Learning rate:0.001000
2019-12-19 01:07:27,524 - Model - INFO - Training mean loss: 0.535140
2019-12-19 01:07:27,524 - Model - INFO - Training accuracy: 0.836587
2019-12-19 01:07:27,526 - Model - INFO - ---- EPOCH 136 EVALUATION ----
2019-12-19 01:07:36,164 - Model - INFO - Eval mean loss: 0.699201
2019-12-19 01:07:36,164 - Model - INFO - Eval accuracy: 0.759181
2019-12-19 01:07:36,164 - Model - INFO - **** Epoch 137 (137/1024) ****
2019-12-19 01:07:36,164 - Model - INFO - Learning rate:0.001000
2019-12-19 01:07:55,088 - Model - INFO - Training mean loss: 0.538466
2019-12-19 01:07:55,088 - Model - INFO - Training accuracy: 0.836615
2019-12-19 01:07:55,090 - Model - INFO - ---- EPOCH 137 EVALUATION ----
2019-12-19 01:08:03,506 - Model - INFO - Eval mean loss: 0.745197
2019-12-19 01:08:03,506 - Model - INFO - Eval accuracy: 0.737786
2019-12-19 01:08:03,506 - Model - INFO - **** Epoch 138 (138/1024) ****
2019-12-19 01:08:03,506 - Model - INFO - Learning rate:0.001000
2019-12-19 01:08:21,926 - Model - INFO - Training mean loss: 0.501437
2019-12-19 01:08:21,927 - Model - INFO - Training accuracy: 0.836913
2019-12-19 01:08:21,928 - Model - INFO - ---- EPOCH 138 EVALUATION ----
2019-12-19 01:08:30,465 - Model - INFO - Eval mean loss: 0.870604
2019-12-19 01:08:30,465 - Model - INFO - Eval accuracy: 0.735738
2019-12-19 01:08:30,466 - Model - INFO - **** Epoch 139 (139/1024) ****
2019-12-19 01:08:30,466 - Model - INFO - Learning rate:0.001000
2019-12-19 01:08:48,623 - Model - INFO - Training mean loss: 0.536796
2019-12-19 01:08:48,623 - Model - INFO - Training accuracy: 0.842856
2019-12-19 01:08:48,625 - Model - INFO - ---- EPOCH 139 EVALUATION ----
2019-12-19 01:08:56,919 - Model - INFO - Eval mean loss: 0.825492
2019-12-19 01:08:56,919 - Model - INFO - Eval accuracy: 0.741564
2019-12-19 01:08:56,919 - Model - INFO - **** Epoch 140 (140/1024) ****
2019-12-19 01:08:56,919 - Model - INFO - Learning rate:0.001000
2019-12-19 01:09:14,476 - Model - INFO - Training mean loss: 0.494587
2019-12-19 01:09:14,477 - Model - INFO - Training accuracy: 0.846062
2019-12-19 01:09:14,479 - Model - INFO - ---- EPOCH 140 EVALUATION ----
2019-12-19 01:09:22,900 - Model - INFO - Eval mean loss: 0.862988
2019-12-19 01:09:22,901 - Model - INFO - Eval accuracy: 0.744163
2019-12-19 01:09:22,901 - Model - INFO - **** Epoch 141 (141/1024) ****
2019-12-19 01:09:22,901 - Model - INFO - Learning rate:0.001000
2019-12-19 01:09:42,600 - Model - INFO - Training mean loss: 0.519665
2019-12-19 01:09:42,600 - Model - INFO - Training accuracy: 0.834154
2019-12-19 01:09:42,600 - Model - INFO - Save model...
2019-12-19 01:09:42,600 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:09:42,650 - Model - INFO - Saving model....
2019-12-19 01:09:42,652 - Model - INFO - ---- EPOCH 141 EVALUATION ----
2019-12-19 01:09:51,394 - Model - INFO - Eval mean loss: 0.746563
2019-12-19 01:09:51,394 - Model - INFO - Eval accuracy: 0.774896
2019-12-19 01:09:51,394 - Model - INFO - **** Epoch 142 (142/1024) ****
2019-12-19 01:09:51,395 - Model - INFO - Learning rate:0.001000
2019-12-19 01:10:08,866 - Model - INFO - Training mean loss: 0.553093
2019-12-19 01:10:08,866 - Model - INFO - Training accuracy: 0.832147
2019-12-19 01:10:08,867 - Model - INFO - ---- EPOCH 142 EVALUATION ----
2019-12-19 01:10:17,503 - Model - INFO - Eval mean loss: 0.826704
2019-12-19 01:10:17,503 - Model - INFO - Eval accuracy: 0.717997
2019-12-19 01:10:17,504 - Model - INFO - **** Epoch 143 (143/1024) ****
2019-12-19 01:10:17,504 - Model - INFO - Learning rate:0.001000
2019-12-19 01:10:35,409 - Model - INFO - Training mean loss: 0.564380
2019-12-19 01:10:35,409 - Model - INFO - Training accuracy: 0.829426
2019-12-19 01:10:35,412 - Model - INFO - ---- EPOCH 143 EVALUATION ----
2019-12-19 01:10:44,196 - Model - INFO - Eval mean loss: 0.835688
2019-12-19 01:10:44,197 - Model - INFO - Eval accuracy: 0.744098
2019-12-19 01:10:44,197 - Model - INFO - **** Epoch 144 (144/1024) ****
2019-12-19 01:10:44,197 - Model - INFO - Learning rate:0.001000
2019-12-19 01:11:02,189 - Model - INFO - Training mean loss: 0.558399
2019-12-19 01:11:02,189 - Model - INFO - Training accuracy: 0.831785
2019-12-19 01:11:02,191 - Model - INFO - ---- EPOCH 144 EVALUATION ----
2019-12-19 01:11:10,651 - Model - INFO - Eval mean loss: 0.930052
2019-12-19 01:11:10,652 - Model - INFO - Eval accuracy: 0.707896
2019-12-19 01:11:10,652 - Model - INFO - **** Epoch 145 (145/1024) ****
2019-12-19 01:11:10,652 - Model - INFO - Learning rate:0.001000
2019-12-19 01:11:28,484 - Model - INFO - Training mean loss: 0.564869
2019-12-19 01:11:28,484 - Model - INFO - Training accuracy: 0.831533
2019-12-19 01:11:28,485 - Model - INFO - ---- EPOCH 145 EVALUATION ----
2019-12-19 01:11:37,213 - Model - INFO - Eval mean loss: 0.840739
2019-12-19 01:11:37,214 - Model - INFO - Eval accuracy: 0.734890
2019-12-19 01:11:37,214 - Model - INFO - **** Epoch 146 (146/1024) ****
2019-12-19 01:11:37,214 - Model - INFO - Learning rate:0.001000
2019-12-19 01:11:55,524 - Model - INFO - Training mean loss: 0.539734
2019-12-19 01:11:55,524 - Model - INFO - Training accuracy: 0.832761
2019-12-19 01:11:55,526 - Model - INFO - ---- EPOCH 146 EVALUATION ----
2019-12-19 01:12:04,186 - Model - INFO - Eval mean loss: 0.669868
2019-12-19 01:12:04,186 - Model - INFO - Eval accuracy: 0.769767
2019-12-19 01:12:04,187 - Model - INFO - **** Epoch 147 (147/1024) ****
2019-12-19 01:12:04,187 - Model - INFO - Learning rate:0.001000
2019-12-19 01:12:21,563 - Model - INFO - Training mean loss: 0.538607
2019-12-19 01:12:21,563 - Model - INFO - Training accuracy: 0.836639
2019-12-19 01:12:21,565 - Model - INFO - ---- EPOCH 147 EVALUATION ----
2019-12-19 01:12:30,127 - Model - INFO - Eval mean loss: 0.954194
2019-12-19 01:12:30,127 - Model - INFO - Eval accuracy: 0.703235
2019-12-19 01:12:30,127 - Model - INFO - **** Epoch 148 (148/1024) ****
2019-12-19 01:12:30,128 - Model - INFO - Learning rate:0.001000
2019-12-19 01:12:48,791 - Model - INFO - Training mean loss: 0.520543
2019-12-19 01:12:48,791 - Model - INFO - Training accuracy: 0.838870
2019-12-19 01:12:48,793 - Model - INFO - ---- EPOCH 148 EVALUATION ----
2019-12-19 01:12:57,314 - Model - INFO - Eval mean loss: 0.854372
2019-12-19 01:12:57,314 - Model - INFO - Eval accuracy: 0.747745
2019-12-19 01:12:57,314 - Model - INFO - **** Epoch 149 (149/1024) ****
2019-12-19 01:12:57,314 - Model - INFO - Learning rate:0.001000
2019-12-19 01:13:14,550 - Model - INFO - Training mean loss: 0.528908
2019-12-19 01:13:14,551 - Model - INFO - Training accuracy: 0.840846
2019-12-19 01:13:14,552 - Model - INFO - ---- EPOCH 149 EVALUATION ----
2019-12-19 01:13:23,372 - Model - INFO - Eval mean loss: 0.865048
2019-12-19 01:13:23,372 - Model - INFO - Eval accuracy: 0.725672
2019-12-19 01:13:23,372 - Model - INFO - **** Epoch 150 (150/1024) ****
2019-12-19 01:13:23,373 - Model - INFO - Learning rate:0.001000
2019-12-19 01:13:40,883 - Model - INFO - Training mean loss: 0.495669
2019-12-19 01:13:40,883 - Model - INFO - Training accuracy: 0.851581
2019-12-19 01:13:40,884 - Model - INFO - ---- EPOCH 150 EVALUATION ----
2019-12-19 01:13:49,361 - Model - INFO - Eval mean loss: 0.762913
2019-12-19 01:13:49,361 - Model - INFO - Eval accuracy: 0.744130
2019-12-19 01:13:49,361 - Model - INFO - **** Epoch 151 (151/1024) ****
2019-12-19 01:13:49,361 - Model - INFO - Learning rate:0.001000
2019-12-19 01:14:07,889 - Model - INFO - Training mean loss: 0.514522
2019-12-19 01:14:07,890 - Model - INFO - Training accuracy: 0.847416
2019-12-19 01:14:07,890 - Model - INFO - Save model...
2019-12-19 01:14:07,890 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:14:07,916 - Model - INFO - Saving model....
2019-12-19 01:14:07,917 - Model - INFO - ---- EPOCH 151 EVALUATION ----
2019-12-19 01:14:16,417 - Model - INFO - Eval mean loss: 0.823140
2019-12-19 01:14:16,417 - Model - INFO - Eval accuracy: 0.761505
2019-12-19 01:14:16,418 - Model - INFO - **** Epoch 152 (152/1024) ****
2019-12-19 01:14:16,418 - Model - INFO - Learning rate:0.001000
2019-12-19 01:14:34,504 - Model - INFO - Training mean loss: 0.526776
2019-12-19 01:14:34,504 - Model - INFO - Training accuracy: 0.840150
2019-12-19 01:14:34,506 - Model - INFO - ---- EPOCH 152 EVALUATION ----
2019-12-19 01:14:42,950 - Model - INFO - Eval mean loss: 0.789170
2019-12-19 01:14:42,951 - Model - INFO - Eval accuracy: 0.752001
2019-12-19 01:14:42,951 - Model - INFO - **** Epoch 153 (153/1024) ****
2019-12-19 01:14:42,951 - Model - INFO - Learning rate:0.001000
2019-12-19 01:15:01,487 - Model - INFO - Training mean loss: 0.553795
2019-12-19 01:15:01,487 - Model - INFO - Training accuracy: 0.834808
2019-12-19 01:15:01,489 - Model - INFO - ---- EPOCH 153 EVALUATION ----
2019-12-19 01:15:09,944 - Model - INFO - Eval mean loss: 0.783128
2019-12-19 01:15:09,944 - Model - INFO - Eval accuracy: 0.758542
2019-12-19 01:15:09,945 - Model - INFO - **** Epoch 154 (154/1024) ****
2019-12-19 01:15:09,945 - Model - INFO - Learning rate:0.001000
2019-12-19 01:15:27,845 - Model - INFO - Training mean loss: 0.525340
2019-12-19 01:15:27,846 - Model - INFO - Training accuracy: 0.839495
2019-12-19 01:15:27,848 - Model - INFO - ---- EPOCH 154 EVALUATION ----
2019-12-19 01:15:36,553 - Model - INFO - Eval mean loss: 0.714271
2019-12-19 01:15:36,553 - Model - INFO - Eval accuracy: 0.755376
2019-12-19 01:15:36,553 - Model - INFO - **** Epoch 155 (155/1024) ****
2019-12-19 01:15:36,553 - Model - INFO - Learning rate:0.001000
2019-12-19 01:15:53,856 - Model - INFO - Training mean loss: 0.519405
2019-12-19 01:15:53,857 - Model - INFO - Training accuracy: 0.840902
2019-12-19 01:15:53,858 - Model - INFO - ---- EPOCH 155 EVALUATION ----
2019-12-19 01:16:02,335 - Model - INFO - Eval mean loss: 0.597967
2019-12-19 01:16:02,335 - Model - INFO - Eval accuracy: 0.782352
2019-12-19 01:16:02,335 - Model - INFO - **** Epoch 156 (156/1024) ****
2019-12-19 01:16:02,335 - Model - INFO - Learning rate:0.001000
2019-12-19 01:16:20,597 - Model - INFO - Training mean loss: 0.508167
2019-12-19 01:16:20,598 - Model - INFO - Training accuracy: 0.849861
2019-12-19 01:16:20,599 - Model - INFO - ---- EPOCH 156 EVALUATION ----
2019-12-19 01:16:29,086 - Model - INFO - Eval mean loss: 0.890229
2019-12-19 01:16:29,086 - Model - INFO - Eval accuracy: 0.735423
2019-12-19 01:16:29,087 - Model - INFO - **** Epoch 157 (157/1024) ****
2019-12-19 01:16:29,087 - Model - INFO - Learning rate:0.001000
2019-12-19 01:16:46,570 - Model - INFO - Training mean loss: 0.519156
2019-12-19 01:16:46,570 - Model - INFO - Training accuracy: 0.850282
2019-12-19 01:16:46,572 - Model - INFO - ---- EPOCH 157 EVALUATION ----
2019-12-19 01:16:55,036 - Model - INFO - Eval mean loss: 0.809176
2019-12-19 01:16:55,036 - Model - INFO - Eval accuracy: 0.742867
2019-12-19 01:16:55,036 - Model - INFO - **** Epoch 158 (158/1024) ****
2019-12-19 01:16:55,036 - Model - INFO - Learning rate:0.001000
2019-12-19 01:17:12,258 - Model - INFO - Training mean loss: 0.511996
2019-12-19 01:17:12,259 - Model - INFO - Training accuracy: 0.850175
2019-12-19 01:17:12,260 - Model - INFO - ---- EPOCH 158 EVALUATION ----
2019-12-19 01:17:20,675 - Model - INFO - Eval mean loss: 0.856595
2019-12-19 01:17:20,675 - Model - INFO - Eval accuracy: 0.729184
2019-12-19 01:17:20,675 - Model - INFO - **** Epoch 159 (159/1024) ****
2019-12-19 01:17:20,675 - Model - INFO - Learning rate:0.001000
2019-12-19 01:17:39,294 - Model - INFO - Training mean loss: 0.504564
2019-12-19 01:17:39,294 - Model - INFO - Training accuracy: 0.854196
2019-12-19 01:17:39,295 - Model - INFO - ---- EPOCH 159 EVALUATION ----
2019-12-19 01:17:47,831 - Model - INFO - Eval mean loss: 0.856883
2019-12-19 01:17:47,831 - Model - INFO - Eval accuracy: 0.752382
2019-12-19 01:17:47,831 - Model - INFO - **** Epoch 160 (160/1024) ****
2019-12-19 01:17:47,831 - Model - INFO - Learning rate:0.001000
2019-12-19 01:18:06,885 - Model - INFO - Training mean loss: 0.527142
2019-12-19 01:18:06,885 - Model - INFO - Training accuracy: 0.839498
2019-12-19 01:18:06,888 - Model - INFO - ---- EPOCH 160 EVALUATION ----
2019-12-19 01:18:15,560 - Model - INFO - Eval mean loss: 0.795031
2019-12-19 01:18:15,560 - Model - INFO - Eval accuracy: 0.748413
2019-12-19 01:18:15,560 - Model - INFO - **** Epoch 161 (161/1024) ****
2019-12-19 01:18:15,560 - Model - INFO - Learning rate:0.001000
2019-12-19 01:18:33,331 - Model - INFO - Training mean loss: 0.488113
2019-12-19 01:18:33,332 - Model - INFO - Training accuracy: 0.844151
2019-12-19 01:18:33,332 - Model - INFO - Save model...
2019-12-19 01:18:33,332 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:18:33,357 - Model - INFO - Saving model....
2019-12-19 01:18:33,358 - Model - INFO - ---- EPOCH 161 EVALUATION ----
2019-12-19 01:18:41,784 - Model - INFO - Eval mean loss: 0.815939
2019-12-19 01:18:41,784 - Model - INFO - Eval accuracy: 0.753654
2019-12-19 01:18:41,784 - Model - INFO - **** Epoch 162 (162/1024) ****
2019-12-19 01:18:41,784 - Model - INFO - Learning rate:0.001000
2019-12-19 01:18:59,962 - Model - INFO - Training mean loss: 0.501306
2019-12-19 01:18:59,962 - Model - INFO - Training accuracy: 0.850964
2019-12-19 01:18:59,964 - Model - INFO - ---- EPOCH 162 EVALUATION ----
2019-12-19 01:19:08,580 - Model - INFO - Eval mean loss: 0.718112
2019-12-19 01:19:08,580 - Model - INFO - Eval accuracy: 0.760569
2019-12-19 01:19:08,580 - Model - INFO - **** Epoch 163 (163/1024) ****
2019-12-19 01:19:08,580 - Model - INFO - Learning rate:0.001000
2019-12-19 01:19:26,855 - Model - INFO - Training mean loss: 0.503003
2019-12-19 01:19:26,855 - Model - INFO - Training accuracy: 0.852939
2019-12-19 01:19:26,856 - Model - INFO - ---- EPOCH 163 EVALUATION ----
2019-12-19 01:19:35,347 - Model - INFO - Eval mean loss: 0.832799
2019-12-19 01:19:35,347 - Model - INFO - Eval accuracy: 0.720981
2019-12-19 01:19:35,347 - Model - INFO - **** Epoch 164 (164/1024) ****
2019-12-19 01:19:35,347 - Model - INFO - Learning rate:0.001000
2019-12-19 01:19:53,415 - Model - INFO - Training mean loss: 0.499329
2019-12-19 01:19:53,416 - Model - INFO - Training accuracy: 0.847386
2019-12-19 01:19:53,418 - Model - INFO - ---- EPOCH 164 EVALUATION ----
2019-12-19 01:20:01,863 - Model - INFO - Eval mean loss: 0.775116
2019-12-19 01:20:01,863 - Model - INFO - Eval accuracy: 0.763643
2019-12-19 01:20:01,863 - Model - INFO - **** Epoch 165 (165/1024) ****
2019-12-19 01:20:01,863 - Model - INFO - Learning rate:0.001000
2019-12-19 01:20:19,116 - Model - INFO - Training mean loss: 0.512990
2019-12-19 01:20:19,116 - Model - INFO - Training accuracy: 0.849845
2019-12-19 01:20:19,118 - Model - INFO - ---- EPOCH 165 EVALUATION ----
2019-12-19 01:20:27,442 - Model - INFO - Eval mean loss: 0.789469
2019-12-19 01:20:27,442 - Model - INFO - Eval accuracy: 0.739485
2019-12-19 01:20:27,442 - Model - INFO - **** Epoch 166 (166/1024) ****
2019-12-19 01:20:27,443 - Model - INFO - Learning rate:0.001000
2019-12-19 01:20:45,604 - Model - INFO - Training mean loss: 0.510433
2019-12-19 01:20:45,604 - Model - INFO - Training accuracy: 0.843082
2019-12-19 01:20:45,605 - Model - INFO - ---- EPOCH 166 EVALUATION ----
2019-12-19 01:20:54,263 - Model - INFO - Eval mean loss: 0.773223
2019-12-19 01:20:54,264 - Model - INFO - Eval accuracy: 0.753445
2019-12-19 01:20:54,264 - Model - INFO - **** Epoch 167 (167/1024) ****
2019-12-19 01:20:54,264 - Model - INFO - Learning rate:0.001000
2019-12-19 01:21:13,197 - Model - INFO - Training mean loss: 0.470624
2019-12-19 01:21:13,197 - Model - INFO - Training accuracy: 0.857390
2019-12-19 01:21:13,199 - Model - INFO - ---- EPOCH 167 EVALUATION ----
2019-12-19 01:21:21,686 - Model - INFO - Eval mean loss: 0.728631
2019-12-19 01:21:21,686 - Model - INFO - Eval accuracy: 0.759711
2019-12-19 01:21:21,686 - Model - INFO - **** Epoch 168 (168/1024) ****
2019-12-19 01:21:21,686 - Model - INFO - Learning rate:0.001000
2019-12-19 01:21:40,496 - Model - INFO - Training mean loss: 0.506932
2019-12-19 01:21:40,496 - Model - INFO - Training accuracy: 0.849514
2019-12-19 01:21:40,497 - Model - INFO - ---- EPOCH 168 EVALUATION ----
2019-12-19 01:21:48,908 - Model - INFO - Eval mean loss: 0.805386
2019-12-19 01:21:48,908 - Model - INFO - Eval accuracy: 0.751845
2019-12-19 01:21:48,908 - Model - INFO - **** Epoch 169 (169/1024) ****
2019-12-19 01:21:48,908 - Model - INFO - Learning rate:0.001000
2019-12-19 01:22:07,588 - Model - INFO - Training mean loss: 0.511220
2019-12-19 01:22:07,588 - Model - INFO - Training accuracy: 0.852128
2019-12-19 01:22:07,590 - Model - INFO - ---- EPOCH 169 EVALUATION ----
2019-12-19 01:22:16,101 - Model - INFO - Eval mean loss: 0.768899
2019-12-19 01:22:16,102 - Model - INFO - Eval accuracy: 0.757275
2019-12-19 01:22:16,102 - Model - INFO - **** Epoch 170 (170/1024) ****
2019-12-19 01:22:16,102 - Model - INFO - Learning rate:0.001000
2019-12-19 01:22:33,787 - Model - INFO - Training mean loss: 0.549257
2019-12-19 01:22:33,787 - Model - INFO - Training accuracy: 0.836790
2019-12-19 01:22:33,789 - Model - INFO - ---- EPOCH 170 EVALUATION ----
2019-12-19 01:22:42,322 - Model - INFO - Eval mean loss: 0.706829
2019-12-19 01:22:42,322 - Model - INFO - Eval accuracy: 0.766073
2019-12-19 01:22:42,322 - Model - INFO - **** Epoch 171 (171/1024) ****
2019-12-19 01:22:42,322 - Model - INFO - Learning rate:0.001000
2019-12-19 01:23:01,091 - Model - INFO - Training mean loss: 0.504059
2019-12-19 01:23:01,091 - Model - INFO - Training accuracy: 0.848751
2019-12-19 01:23:01,091 - Model - INFO - Save model...
2019-12-19 01:23:01,091 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:23:01,115 - Model - INFO - Saving model....
2019-12-19 01:23:01,116 - Model - INFO - ---- EPOCH 171 EVALUATION ----
2019-12-19 01:23:09,573 - Model - INFO - Eval mean loss: 0.752063
2019-12-19 01:23:09,573 - Model - INFO - Eval accuracy: 0.754349
2019-12-19 01:23:09,573 - Model - INFO - **** Epoch 172 (172/1024) ****
2019-12-19 01:23:09,573 - Model - INFO - Learning rate:0.001000
2019-12-19 01:23:28,162 - Model - INFO - Training mean loss: 0.486641
2019-12-19 01:23:28,162 - Model - INFO - Training accuracy: 0.849865
2019-12-19 01:23:28,164 - Model - INFO - ---- EPOCH 172 EVALUATION ----
2019-12-19 01:23:36,526 - Model - INFO - Eval mean loss: 0.809775
2019-12-19 01:23:36,526 - Model - INFO - Eval accuracy: 0.740463
2019-12-19 01:23:36,526 - Model - INFO - **** Epoch 173 (173/1024) ****
2019-12-19 01:23:36,526 - Model - INFO - Learning rate:0.001000
2019-12-19 01:23:53,812 - Model - INFO - Training mean loss: 0.498126
2019-12-19 01:23:53,812 - Model - INFO - Training accuracy: 0.846685
2019-12-19 01:23:53,814 - Model - INFO - ---- EPOCH 173 EVALUATION ----
2019-12-19 01:24:02,313 - Model - INFO - Eval mean loss: 0.826904
2019-12-19 01:24:02,313 - Model - INFO - Eval accuracy: 0.746358
2019-12-19 01:24:02,313 - Model - INFO - **** Epoch 174 (174/1024) ****
2019-12-19 01:24:02,313 - Model - INFO - Learning rate:0.001000
2019-12-19 01:24:20,098 - Model - INFO - Training mean loss: 0.542994
2019-12-19 01:24:20,098 - Model - INFO - Training accuracy: 0.844713
2019-12-19 01:24:20,100 - Model - INFO - ---- EPOCH 174 EVALUATION ----
2019-12-19 01:24:28,464 - Model - INFO - Eval mean loss: 0.738934
2019-12-19 01:24:28,464 - Model - INFO - Eval accuracy: 0.762739
2019-12-19 01:24:28,464 - Model - INFO - **** Epoch 175 (175/1024) ****
2019-12-19 01:24:28,464 - Model - INFO - Learning rate:0.001000
2019-12-19 01:24:46,793 - Model - INFO - Training mean loss: 0.498257
2019-12-19 01:24:46,793 - Model - INFO - Training accuracy: 0.847990
2019-12-19 01:24:46,796 - Model - INFO - ---- EPOCH 175 EVALUATION ----
2019-12-19 01:24:55,395 - Model - INFO - Eval mean loss: 0.796087
2019-12-19 01:24:55,396 - Model - INFO - Eval accuracy: 0.738524
2019-12-19 01:24:55,396 - Model - INFO - **** Epoch 176 (176/1024) ****
2019-12-19 01:24:55,396 - Model - INFO - Learning rate:0.001000
2019-12-19 01:25:14,091 - Model - INFO - Training mean loss: 0.478353
2019-12-19 01:25:14,092 - Model - INFO - Training accuracy: 0.849584
2019-12-19 01:25:14,093 - Model - INFO - ---- EPOCH 176 EVALUATION ----
2019-12-19 01:25:22,597 - Model - INFO - Eval mean loss: 0.918940
2019-12-19 01:25:22,598 - Model - INFO - Eval accuracy: 0.735569
2019-12-19 01:25:22,598 - Model - INFO - **** Epoch 177 (177/1024) ****
2019-12-19 01:25:22,598 - Model - INFO - Learning rate:0.001000
2019-12-19 01:25:40,126 - Model - INFO - Training mean loss: 0.498055
2019-12-19 01:25:40,126 - Model - INFO - Training accuracy: 0.854471
2019-12-19 01:25:40,127 - Model - INFO - ---- EPOCH 177 EVALUATION ----
2019-12-19 01:25:48,642 - Model - INFO - Eval mean loss: 0.663152
2019-12-19 01:25:48,642 - Model - INFO - Eval accuracy: 0.772568
2019-12-19 01:25:48,642 - Model - INFO - **** Epoch 178 (178/1024) ****
2019-12-19 01:25:48,642 - Model - INFO - Learning rate:0.001000
2019-12-19 01:26:07,817 - Model - INFO - Training mean loss: 0.465690
2019-12-19 01:26:07,817 - Model - INFO - Training accuracy: 0.850232
2019-12-19 01:26:07,819 - Model - INFO - ---- EPOCH 178 EVALUATION ----
2019-12-19 01:26:16,265 - Model - INFO - Eval mean loss: 0.885075
2019-12-19 01:26:16,265 - Model - INFO - Eval accuracy: 0.725493
2019-12-19 01:26:16,265 - Model - INFO - **** Epoch 179 (179/1024) ****
2019-12-19 01:26:16,265 - Model - INFO - Learning rate:0.001000
2019-12-19 01:26:34,969 - Model - INFO - Training mean loss: 0.502999
2019-12-19 01:26:34,969 - Model - INFO - Training accuracy: 0.846342
2019-12-19 01:26:34,972 - Model - INFO - ---- EPOCH 179 EVALUATION ----
2019-12-19 01:26:43,551 - Model - INFO - Eval mean loss: 0.839205
2019-12-19 01:26:43,551 - Model - INFO - Eval accuracy: 0.736343
2019-12-19 01:26:43,551 - Model - INFO - **** Epoch 180 (180/1024) ****
2019-12-19 01:26:43,551 - Model - INFO - Learning rate:0.001000
2019-12-19 01:27:02,539 - Model - INFO - Training mean loss: 0.542982
2019-12-19 01:27:02,539 - Model - INFO - Training accuracy: 0.842026
2019-12-19 01:27:02,541 - Model - INFO - ---- EPOCH 180 EVALUATION ----
2019-12-19 01:27:11,221 - Model - INFO - Eval mean loss: 0.713454
2019-12-19 01:27:11,221 - Model - INFO - Eval accuracy: 0.740121
2019-12-19 01:27:11,221 - Model - INFO - **** Epoch 181 (181/1024) ****
2019-12-19 01:27:11,221 - Model - INFO - Learning rate:0.001000
2019-12-19 01:27:28,945 - Model - INFO - Training mean loss: 0.501893
2019-12-19 01:27:28,945 - Model - INFO - Training accuracy: 0.844391
2019-12-19 01:27:28,945 - Model - INFO - Save model...
2019-12-19 01:27:28,945 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:27:28,970 - Model - INFO - Saving model....
2019-12-19 01:27:28,971 - Model - INFO - ---- EPOCH 181 EVALUATION ----
2019-12-19 01:27:37,397 - Model - INFO - Eval mean loss: 0.683500
2019-12-19 01:27:37,397 - Model - INFO - Eval accuracy: 0.769903
2019-12-19 01:27:37,397 - Model - INFO - **** Epoch 182 (182/1024) ****
2019-12-19 01:27:37,397 - Model - INFO - Learning rate:0.001000
2019-12-19 01:27:54,395 - Model - INFO - Training mean loss: 0.497511
2019-12-19 01:27:54,395 - Model - INFO - Training accuracy: 0.852837
2019-12-19 01:27:54,397 - Model - INFO - ---- EPOCH 182 EVALUATION ----
2019-12-19 01:28:02,847 - Model - INFO - Eval mean loss: 0.708975
2019-12-19 01:28:02,847 - Model - INFO - Eval accuracy: 0.764187
2019-12-19 01:28:02,847 - Model - INFO - **** Epoch 183 (183/1024) ****
2019-12-19 01:28:02,848 - Model - INFO - Learning rate:0.001000
2019-12-19 01:28:20,501 - Model - INFO - Training mean loss: 0.483497
2019-12-19 01:28:20,502 - Model - INFO - Training accuracy: 0.853588
2019-12-19 01:28:20,503 - Model - INFO - ---- EPOCH 183 EVALUATION ----
2019-12-19 01:28:28,958 - Model - INFO - Eval mean loss: 0.927582
2019-12-19 01:28:28,958 - Model - INFO - Eval accuracy: 0.728456
2019-12-19 01:28:28,958 - Model - INFO - **** Epoch 184 (184/1024) ****
2019-12-19 01:28:28,958 - Model - INFO - Learning rate:0.001000
2019-12-19 01:28:46,995 - Model - INFO - Training mean loss: 0.511568
2019-12-19 01:28:46,995 - Model - INFO - Training accuracy: 0.843588
2019-12-19 01:28:46,996 - Model - INFO - ---- EPOCH 184 EVALUATION ----
2019-12-19 01:28:55,399 - Model - INFO - Eval mean loss: 0.713871
2019-12-19 01:28:55,399 - Model - INFO - Eval accuracy: 0.754527
2019-12-19 01:28:55,399 - Model - INFO - **** Epoch 185 (185/1024) ****
2019-12-19 01:28:55,399 - Model - INFO - Learning rate:0.001000
2019-12-19 01:29:14,241 - Model - INFO - Training mean loss: 0.512197
2019-12-19 01:29:14,241 - Model - INFO - Training accuracy: 0.844830
2019-12-19 01:29:14,243 - Model - INFO - ---- EPOCH 185 EVALUATION ----
2019-12-19 01:29:22,731 - Model - INFO - Eval mean loss: 0.887061
2019-12-19 01:29:22,731 - Model - INFO - Eval accuracy: 0.735313
2019-12-19 01:29:22,731 - Model - INFO - **** Epoch 186 (186/1024) ****
2019-12-19 01:29:22,731 - Model - INFO - Learning rate:0.001000
2019-12-19 01:29:40,405 - Model - INFO - Training mean loss: 0.488042
2019-12-19 01:29:40,405 - Model - INFO - Training accuracy: 0.845316
2019-12-19 01:29:40,407 - Model - INFO - ---- EPOCH 186 EVALUATION ----
2019-12-19 01:29:48,848 - Model - INFO - Eval mean loss: 0.784556
2019-12-19 01:29:48,849 - Model - INFO - Eval accuracy: 0.754052
2019-12-19 01:29:48,849 - Model - INFO - **** Epoch 187 (187/1024) ****
2019-12-19 01:29:48,849 - Model - INFO - Learning rate:0.001000
2019-12-19 01:30:07,016 - Model - INFO - Training mean loss: 0.511586
2019-12-19 01:30:07,016 - Model - INFO - Training accuracy: 0.843842
2019-12-19 01:30:07,018 - Model - INFO - ---- EPOCH 187 EVALUATION ----
2019-12-19 01:30:15,521 - Model - INFO - Eval mean loss: 0.712783
2019-12-19 01:30:15,521 - Model - INFO - Eval accuracy: 0.760696
2019-12-19 01:30:15,521 - Model - INFO - **** Epoch 188 (188/1024) ****
2019-12-19 01:30:15,521 - Model - INFO - Learning rate:0.001000
2019-12-19 01:30:32,553 - Model - INFO - Training mean loss: 0.467284
2019-12-19 01:30:32,553 - Model - INFO - Training accuracy: 0.848812
2019-12-19 01:30:32,554 - Model - INFO - ---- EPOCH 188 EVALUATION ----
2019-12-19 01:30:40,947 - Model - INFO - Eval mean loss: 0.687394
2019-12-19 01:30:40,947 - Model - INFO - Eval accuracy: 0.777427
2019-12-19 01:30:40,947 - Model - INFO - **** Epoch 189 (189/1024) ****
2019-12-19 01:30:40,947 - Model - INFO - Learning rate:0.001000
2019-12-19 01:31:00,073 - Model - INFO - Training mean loss: 0.485045
2019-12-19 01:31:00,074 - Model - INFO - Training accuracy: 0.850384
2019-12-19 01:31:00,075 - Model - INFO - ---- EPOCH 189 EVALUATION ----
2019-12-19 01:31:08,395 - Model - INFO - Eval mean loss: 0.697470
2019-12-19 01:31:08,395 - Model - INFO - Eval accuracy: 0.757673
2019-12-19 01:31:08,395 - Model - INFO - **** Epoch 190 (190/1024) ****
2019-12-19 01:31:08,395 - Model - INFO - Learning rate:0.001000
2019-12-19 01:31:26,299 - Model - INFO - Training mean loss: 0.456651
2019-12-19 01:31:26,299 - Model - INFO - Training accuracy: 0.857229
2019-12-19 01:31:26,301 - Model - INFO - ---- EPOCH 190 EVALUATION ----
2019-12-19 01:31:34,730 - Model - INFO - Eval mean loss: 0.781536
2019-12-19 01:31:34,730 - Model - INFO - Eval accuracy: 0.764092
2019-12-19 01:31:34,730 - Model - INFO - **** Epoch 191 (191/1024) ****
2019-12-19 01:31:34,730 - Model - INFO - Learning rate:0.001000
2019-12-19 01:31:53,419 - Model - INFO - Training mean loss: 0.481158
2019-12-19 01:31:53,419 - Model - INFO - Training accuracy: 0.856583
2019-12-19 01:31:53,419 - Model - INFO - Save model...
2019-12-19 01:31:53,419 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:31:53,445 - Model - INFO - Saving model....
2019-12-19 01:31:53,447 - Model - INFO - ---- EPOCH 191 EVALUATION ----
2019-12-19 01:32:01,875 - Model - INFO - Eval mean loss: 0.959998
2019-12-19 01:32:01,875 - Model - INFO - Eval accuracy: 0.726269
2019-12-19 01:32:01,875 - Model - INFO - **** Epoch 192 (192/1024) ****
2019-12-19 01:32:01,875 - Model - INFO - Learning rate:0.001000
2019-12-19 01:32:20,071 - Model - INFO - Training mean loss: 0.500504
2019-12-19 01:32:20,071 - Model - INFO - Training accuracy: 0.852545
2019-12-19 01:32:20,073 - Model - INFO - ---- EPOCH 192 EVALUATION ----
2019-12-19 01:32:28,742 - Model - INFO - Eval mean loss: 0.739903
2019-12-19 01:32:28,742 - Model - INFO - Eval accuracy: 0.751183
2019-12-19 01:32:28,742 - Model - INFO - **** Epoch 193 (193/1024) ****
2019-12-19 01:32:28,742 - Model - INFO - Learning rate:0.001000
2019-12-19 01:32:46,434 - Model - INFO - Training mean loss: 0.448315
2019-12-19 01:32:46,434 - Model - INFO - Training accuracy: 0.858231
2019-12-19 01:32:46,435 - Model - INFO - ---- EPOCH 193 EVALUATION ----
2019-12-19 01:32:54,932 - Model - INFO - Eval mean loss: 0.726405
2019-12-19 01:32:54,932 - Model - INFO - Eval accuracy: 0.781625
2019-12-19 01:32:54,932 - Model - INFO - **** Epoch 194 (194/1024) ****
2019-12-19 01:32:54,932 - Model - INFO - Learning rate:0.001000
2019-12-19 01:33:13,503 - Model - INFO - Training mean loss: 0.476258
2019-12-19 01:33:13,503 - Model - INFO - Training accuracy: 0.851351
2019-12-19 01:33:13,504 - Model - INFO - ---- EPOCH 194 EVALUATION ----
2019-12-19 01:33:21,927 - Model - INFO - Eval mean loss: 0.704104
2019-12-19 01:33:21,928 - Model - INFO - Eval accuracy: 0.768784
2019-12-19 01:33:21,928 - Model - INFO - **** Epoch 195 (195/1024) ****
2019-12-19 01:33:21,928 - Model - INFO - Learning rate:0.001000
2019-12-19 01:33:39,240 - Model - INFO - Training mean loss: 0.470192
2019-12-19 01:33:39,240 - Model - INFO - Training accuracy: 0.863282
2019-12-19 01:33:39,242 - Model - INFO - ---- EPOCH 195 EVALUATION ----
2019-12-19 01:33:47,816 - Model - INFO - Eval mean loss: 0.817857
2019-12-19 01:33:47,816 - Model - INFO - Eval accuracy: 0.753047
2019-12-19 01:33:47,816 - Model - INFO - **** Epoch 196 (196/1024) ****
2019-12-19 01:33:47,816 - Model - INFO - Learning rate:0.001000
2019-12-19 01:34:05,937 - Model - INFO - Training mean loss: 0.485101
2019-12-19 01:34:05,937 - Model - INFO - Training accuracy: 0.855122
2019-12-19 01:34:05,938 - Model - INFO - ---- EPOCH 196 EVALUATION ----
2019-12-19 01:34:14,476 - Model - INFO - Eval mean loss: 0.830328
2019-12-19 01:34:14,476 - Model - INFO - Eval accuracy: 0.755166
2019-12-19 01:34:14,477 - Model - INFO - **** Epoch 197 (197/1024) ****
2019-12-19 01:34:14,477 - Model - INFO - Learning rate:0.001000
2019-12-19 01:34:32,180 - Model - INFO - Training mean loss: 0.457182
2019-12-19 01:34:32,181 - Model - INFO - Training accuracy: 0.861031
2019-12-19 01:34:32,182 - Model - INFO - ---- EPOCH 197 EVALUATION ----
2019-12-19 01:34:40,646 - Model - INFO - Eval mean loss: 0.894809
2019-12-19 01:34:40,646 - Model - INFO - Eval accuracy: 0.720430
2019-12-19 01:34:40,646 - Model - INFO - **** Epoch 198 (198/1024) ****
2019-12-19 01:34:40,646 - Model - INFO - Learning rate:0.001000
2019-12-19 01:34:57,932 - Model - INFO - Training mean loss: 0.488737
2019-12-19 01:34:57,932 - Model - INFO - Training accuracy: 0.851862
2019-12-19 01:34:57,934 - Model - INFO - ---- EPOCH 198 EVALUATION ----
2019-12-19 01:35:06,289 - Model - INFO - Eval mean loss: 0.990778
2019-12-19 01:35:06,290 - Model - INFO - Eval accuracy: 0.704685
2019-12-19 01:35:06,290 - Model - INFO - **** Epoch 199 (199/1024) ****
2019-12-19 01:35:06,290 - Model - INFO - Learning rate:0.001000
2019-12-19 01:35:24,360 - Model - INFO - Training mean loss: 0.539827
2019-12-19 01:35:24,360 - Model - INFO - Training accuracy: 0.839066
2019-12-19 01:35:24,362 - Model - INFO - ---- EPOCH 199 EVALUATION ----
2019-12-19 01:35:32,894 - Model - INFO - Eval mean loss: 0.870263
2019-12-19 01:35:32,895 - Model - INFO - Eval accuracy: 0.750729
2019-12-19 01:35:32,895 - Model - INFO - **** Epoch 200 (200/1024) ****
2019-12-19 01:35:32,895 - Model - INFO - Learning rate:0.001000
2019-12-19 01:35:51,083 - Model - INFO - Training mean loss: 0.492903
2019-12-19 01:35:51,083 - Model - INFO - Training accuracy: 0.849042
2019-12-19 01:35:51,085 - Model - INFO - ---- EPOCH 200 EVALUATION ----
2019-12-19 01:35:59,550 - Model - INFO - Eval mean loss: 0.835265
2019-12-19 01:35:59,550 - Model - INFO - Eval accuracy: 0.725318
2019-12-19 01:35:59,550 - Model - INFO - **** Epoch 201 (201/1024) ****
2019-12-19 01:35:59,551 - Model - INFO - Learning rate:0.000700
2019-12-19 01:36:18,900 - Model - INFO - Training mean loss: 0.467062
2019-12-19 01:36:18,901 - Model - INFO - Training accuracy: 0.853702
2019-12-19 01:36:18,901 - Model - INFO - Save model...
2019-12-19 01:36:18,901 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:36:18,927 - Model - INFO - Saving model....
2019-12-19 01:36:18,929 - Model - INFO - ---- EPOCH 201 EVALUATION ----
2019-12-19 01:36:27,334 - Model - INFO - Eval mean loss: 0.753759
2019-12-19 01:36:27,335 - Model - INFO - Eval accuracy: 0.766051
2019-12-19 01:36:27,335 - Model - INFO - **** Epoch 202 (202/1024) ****
2019-12-19 01:36:27,335 - Model - INFO - Learning rate:0.000700
2019-12-19 01:36:44,932 - Model - INFO - Training mean loss: 0.472117
2019-12-19 01:36:44,933 - Model - INFO - Training accuracy: 0.856670
2019-12-19 01:36:44,935 - Model - INFO - ---- EPOCH 202 EVALUATION ----
2019-12-19 01:36:53,449 - Model - INFO - Eval mean loss: 0.828231
2019-12-19 01:36:53,449 - Model - INFO - Eval accuracy: 0.746511
2019-12-19 01:36:53,450 - Model - INFO - **** Epoch 203 (203/1024) ****
2019-12-19 01:36:53,450 - Model - INFO - Learning rate:0.000700
2019-12-19 01:37:11,355 - Model - INFO - Training mean loss: 0.459681
2019-12-19 01:37:11,355 - Model - INFO - Training accuracy: 0.858569
2019-12-19 01:37:11,357 - Model - INFO - ---- EPOCH 203 EVALUATION ----
2019-12-19 01:37:19,784 - Model - INFO - Eval mean loss: 0.827397
2019-12-19 01:37:19,784 - Model - INFO - Eval accuracy: 0.740624
2019-12-19 01:37:19,785 - Model - INFO - **** Epoch 204 (204/1024) ****
2019-12-19 01:37:19,785 - Model - INFO - Learning rate:0.000700
2019-12-19 01:37:37,483 - Model - INFO - Training mean loss: 0.449281
2019-12-19 01:37:37,483 - Model - INFO - Training accuracy: 0.855994
2019-12-19 01:37:37,484 - Model - INFO - ---- EPOCH 204 EVALUATION ----
2019-12-19 01:37:45,962 - Model - INFO - Eval mean loss: 0.922267
2019-12-19 01:37:45,962 - Model - INFO - Eval accuracy: 0.721361
2019-12-19 01:37:45,962 - Model - INFO - **** Epoch 205 (205/1024) ****
2019-12-19 01:37:45,963 - Model - INFO - Learning rate:0.000700
2019-12-19 01:38:04,293 - Model - INFO - Training mean loss: 0.475329
2019-12-19 01:38:04,293 - Model - INFO - Training accuracy: 0.851452
2019-12-19 01:38:04,295 - Model - INFO - ---- EPOCH 205 EVALUATION ----
2019-12-19 01:38:12,742 - Model - INFO - Eval mean loss: 0.704025
2019-12-19 01:38:12,743 - Model - INFO - Eval accuracy: 0.769713
2019-12-19 01:38:12,743 - Model - INFO - **** Epoch 206 (206/1024) ****
2019-12-19 01:38:12,743 - Model - INFO - Learning rate:0.000700
2019-12-19 01:38:32,138 - Model - INFO - Training mean loss: 0.442010
2019-12-19 01:38:32,138 - Model - INFO - Training accuracy: 0.860418
2019-12-19 01:38:32,139 - Model - INFO - ---- EPOCH 206 EVALUATION ----
2019-12-19 01:38:40,661 - Model - INFO - Eval mean loss: 0.853574
2019-12-19 01:38:40,661 - Model - INFO - Eval accuracy: 0.748834
2019-12-19 01:38:40,661 - Model - INFO - **** Epoch 207 (207/1024) ****
2019-12-19 01:38:40,661 - Model - INFO - Learning rate:0.000700
2019-12-19 01:38:58,280 - Model - INFO - Training mean loss: 0.424572
2019-12-19 01:38:58,280 - Model - INFO - Training accuracy: 0.868555
2019-12-19 01:38:58,282 - Model - INFO - ---- EPOCH 207 EVALUATION ----
2019-12-19 01:39:06,639 - Model - INFO - Eval mean loss: 0.779182
2019-12-19 01:39:06,639 - Model - INFO - Eval accuracy: 0.748647
2019-12-19 01:39:06,639 - Model - INFO - **** Epoch 208 (208/1024) ****
2019-12-19 01:39:06,639 - Model - INFO - Learning rate:0.000700
2019-12-19 01:39:24,650 - Model - INFO - Training mean loss: 0.454820
2019-12-19 01:39:24,650 - Model - INFO - Training accuracy: 0.851634
2019-12-19 01:39:24,653 - Model - INFO - ---- EPOCH 208 EVALUATION ----
2019-12-19 01:39:33,324 - Model - INFO - Eval mean loss: 0.721431
2019-12-19 01:39:33,324 - Model - INFO - Eval accuracy: 0.748250
2019-12-19 01:39:33,324 - Model - INFO - **** Epoch 209 (209/1024) ****
2019-12-19 01:39:33,324 - Model - INFO - Learning rate:0.000700
2019-12-19 01:39:51,208 - Model - INFO - Training mean loss: 0.428569
2019-12-19 01:39:51,208 - Model - INFO - Training accuracy: 0.870191
2019-12-19 01:39:51,210 - Model - INFO - ---- EPOCH 209 EVALUATION ----
2019-12-19 01:39:59,784 - Model - INFO - Eval mean loss: 0.874758
2019-12-19 01:39:59,785 - Model - INFO - Eval accuracy: 0.740687
2019-12-19 01:39:59,785 - Model - INFO - **** Epoch 210 (210/1024) ****
2019-12-19 01:39:59,785 - Model - INFO - Learning rate:0.000700
2019-12-19 01:40:18,088 - Model - INFO - Training mean loss: 0.404149
2019-12-19 01:40:18,088 - Model - INFO - Training accuracy: 0.874021
2019-12-19 01:40:18,090 - Model - INFO - ---- EPOCH 210 EVALUATION ----
2019-12-19 01:40:26,562 - Model - INFO - Eval mean loss: 0.701792
2019-12-19 01:40:26,562 - Model - INFO - Eval accuracy: 0.765401
2019-12-19 01:40:26,562 - Model - INFO - **** Epoch 211 (211/1024) ****
2019-12-19 01:40:26,562 - Model - INFO - Learning rate:0.000700
2019-12-19 01:40:44,563 - Model - INFO - Training mean loss: 0.439435
2019-12-19 01:40:44,563 - Model - INFO - Training accuracy: 0.859385
2019-12-19 01:40:44,563 - Model - INFO - Save model...
2019-12-19 01:40:44,564 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:40:44,587 - Model - INFO - Saving model....
2019-12-19 01:40:44,589 - Model - INFO - ---- EPOCH 211 EVALUATION ----
2019-12-19 01:40:53,056 - Model - INFO - Eval mean loss: 0.792252
2019-12-19 01:40:53,056 - Model - INFO - Eval accuracy: 0.759835
2019-12-19 01:40:53,056 - Model - INFO - **** Epoch 212 (212/1024) ****
2019-12-19 01:40:53,057 - Model - INFO - Learning rate:0.000700
2019-12-19 01:41:11,269 - Model - INFO - Training mean loss: 0.423283
2019-12-19 01:41:11,269 - Model - INFO - Training accuracy: 0.866664
2019-12-19 01:41:11,271 - Model - INFO - ---- EPOCH 212 EVALUATION ----
2019-12-19 01:41:19,761 - Model - INFO - Eval mean loss: 0.749286
2019-12-19 01:41:19,762 - Model - INFO - Eval accuracy: 0.764772
2019-12-19 01:41:19,762 - Model - INFO - **** Epoch 213 (213/1024) ****
2019-12-19 01:41:19,762 - Model - INFO - Learning rate:0.000700
2019-12-19 01:41:37,531 - Model - INFO - Training mean loss: 0.436423
2019-12-19 01:41:37,531 - Model - INFO - Training accuracy: 0.868895
2019-12-19 01:41:37,534 - Model - INFO - ---- EPOCH 213 EVALUATION ----
2019-12-19 01:41:46,153 - Model - INFO - Eval mean loss: 0.723637
2019-12-19 01:41:46,154 - Model - INFO - Eval accuracy: 0.768107
2019-12-19 01:41:46,154 - Model - INFO - **** Epoch 214 (214/1024) ****
2019-12-19 01:41:46,154 - Model - INFO - Learning rate:0.000700
2019-12-19 01:42:04,203 - Model - INFO - Training mean loss: 0.432816
2019-12-19 01:42:04,203 - Model - INFO - Training accuracy: 0.867138
2019-12-19 01:42:04,204 - Model - INFO - ---- EPOCH 214 EVALUATION ----
2019-12-19 01:42:12,603 - Model - INFO - Eval mean loss: 0.820168
2019-12-19 01:42:12,603 - Model - INFO - Eval accuracy: 0.742708
2019-12-19 01:42:12,603 - Model - INFO - **** Epoch 215 (215/1024) ****
2019-12-19 01:42:12,603 - Model - INFO - Learning rate:0.000700
2019-12-19 01:42:30,840 - Model - INFO - Training mean loss: 0.422143
2019-12-19 01:42:30,840 - Model - INFO - Training accuracy: 0.863166
2019-12-19 01:42:30,842 - Model - INFO - ---- EPOCH 215 EVALUATION ----
2019-12-19 01:42:39,436 - Model - INFO - Eval mean loss: 0.797590
2019-12-19 01:42:39,436 - Model - INFO - Eval accuracy: 0.768719
2019-12-19 01:42:39,437 - Model - INFO - **** Epoch 216 (216/1024) ****
2019-12-19 01:42:39,437 - Model - INFO - Learning rate:0.000700
2019-12-19 01:42:58,365 - Model - INFO - Training mean loss: 0.445657
2019-12-19 01:42:58,366 - Model - INFO - Training accuracy: 0.861515
2019-12-19 01:42:58,367 - Model - INFO - ---- EPOCH 216 EVALUATION ----
2019-12-19 01:43:06,907 - Model - INFO - Eval mean loss: 0.763783
2019-12-19 01:43:06,907 - Model - INFO - Eval accuracy: 0.743105
2019-12-19 01:43:06,908 - Model - INFO - **** Epoch 217 (217/1024) ****
2019-12-19 01:43:06,908 - Model - INFO - Learning rate:0.000700
2019-12-19 01:43:24,957 - Model - INFO - Training mean loss: 0.438471
2019-12-19 01:43:24,958 - Model - INFO - Training accuracy: 0.863936
2019-12-19 01:43:24,959 - Model - INFO - ---- EPOCH 217 EVALUATION ----
2019-12-19 01:43:33,304 - Model - INFO - Eval mean loss: 0.720588
2019-12-19 01:43:33,304 - Model - INFO - Eval accuracy: 0.772597
2019-12-19 01:43:33,304 - Model - INFO - **** Epoch 218 (218/1024) ****
2019-12-19 01:43:33,304 - Model - INFO - Learning rate:0.000700
2019-12-19 01:43:51,445 - Model - INFO - Training mean loss: 0.407971
2019-12-19 01:43:51,446 - Model - INFO - Training accuracy: 0.869284
2019-12-19 01:43:51,447 - Model - INFO - ---- EPOCH 218 EVALUATION ----
2019-12-19 01:43:59,843 - Model - INFO - Eval mean loss: 0.724559
2019-12-19 01:43:59,843 - Model - INFO - Eval accuracy: 0.757540
2019-12-19 01:43:59,844 - Model - INFO - **** Epoch 219 (219/1024) ****
2019-12-19 01:43:59,844 - Model - INFO - Learning rate:0.000700
2019-12-19 01:44:17,936 - Model - INFO - Training mean loss: 0.402813
2019-12-19 01:44:17,936 - Model - INFO - Training accuracy: 0.877633
2019-12-19 01:44:17,937 - Model - INFO - ---- EPOCH 219 EVALUATION ----
2019-12-19 01:44:26,382 - Model - INFO - Eval mean loss: 0.743720
2019-12-19 01:44:26,382 - Model - INFO - Eval accuracy: 0.751136
2019-12-19 01:44:26,382 - Model - INFO - **** Epoch 220 (220/1024) ****
2019-12-19 01:44:26,383 - Model - INFO - Learning rate:0.000700
2019-12-19 01:44:45,896 - Model - INFO - Training mean loss: 0.430384
2019-12-19 01:44:45,897 - Model - INFO - Training accuracy: 0.866432
2019-12-19 01:44:45,898 - Model - INFO - ---- EPOCH 220 EVALUATION ----
2019-12-19 01:44:54,478 - Model - INFO - Eval mean loss: 0.702012
2019-12-19 01:44:54,478 - Model - INFO - Eval accuracy: 0.769014
2019-12-19 01:44:54,479 - Model - INFO - **** Epoch 221 (221/1024) ****
2019-12-19 01:44:54,479 - Model - INFO - Learning rate:0.000700
2019-12-19 01:45:13,971 - Model - INFO - Training mean loss: 0.434022
2019-12-19 01:45:13,971 - Model - INFO - Training accuracy: 0.862185
2019-12-19 01:45:13,971 - Model - INFO - Save model...
2019-12-19 01:45:13,972 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:45:14,005 - Model - INFO - Saving model....
2019-12-19 01:45:14,007 - Model - INFO - ---- EPOCH 221 EVALUATION ----
2019-12-19 01:45:22,361 - Model - INFO - Eval mean loss: 0.716931
2019-12-19 01:45:22,361 - Model - INFO - Eval accuracy: 0.756770
2019-12-19 01:45:22,361 - Model - INFO - **** Epoch 222 (222/1024) ****
2019-12-19 01:45:22,361 - Model - INFO - Learning rate:0.000700
2019-12-19 01:45:39,819 - Model - INFO - Training mean loss: 0.422868
2019-12-19 01:45:39,820 - Model - INFO - Training accuracy: 0.861867
2019-12-19 01:45:39,821 - Model - INFO - ---- EPOCH 222 EVALUATION ----
2019-12-19 01:45:48,545 - Model - INFO - Eval mean loss: 0.802516
2019-12-19 01:45:48,546 - Model - INFO - Eval accuracy: 0.757275
2019-12-19 01:45:48,546 - Model - INFO - **** Epoch 223 (223/1024) ****
2019-12-19 01:45:48,546 - Model - INFO - Learning rate:0.000700
2019-12-19 01:46:06,598 - Model - INFO - Training mean loss: 0.416442
2019-12-19 01:46:06,598 - Model - INFO - Training accuracy: 0.870173
2019-12-19 01:46:06,600 - Model - INFO - ---- EPOCH 223 EVALUATION ----
2019-12-19 01:46:15,084 - Model - INFO - Eval mean loss: 1.022585
2019-12-19 01:46:15,085 - Model - INFO - Eval accuracy: 0.744651
2019-12-19 01:46:15,085 - Model - INFO - **** Epoch 224 (224/1024) ****
2019-12-19 01:46:15,085 - Model - INFO - Learning rate:0.000700
2019-12-19 01:46:33,922 - Model - INFO - Training mean loss: 0.402104
2019-12-19 01:46:33,922 - Model - INFO - Training accuracy: 0.874688
2019-12-19 01:46:33,925 - Model - INFO - ---- EPOCH 224 EVALUATION ----
2019-12-19 01:46:42,401 - Model - INFO - Eval mean loss: 0.737704
2019-12-19 01:46:42,402 - Model - INFO - Eval accuracy: 0.768514
2019-12-19 01:46:42,402 - Model - INFO - **** Epoch 225 (225/1024) ****
2019-12-19 01:46:42,402 - Model - INFO - Learning rate:0.000700
2019-12-19 01:46:59,623 - Model - INFO - Training mean loss: 0.428763
2019-12-19 01:46:59,624 - Model - INFO - Training accuracy: 0.867638
2019-12-19 01:46:59,625 - Model - INFO - ---- EPOCH 225 EVALUATION ----
2019-12-19 01:47:07,910 - Model - INFO - Eval mean loss: 0.856961
2019-12-19 01:47:07,910 - Model - INFO - Eval accuracy: 0.749439
2019-12-19 01:47:07,910 - Model - INFO - **** Epoch 226 (226/1024) ****
2019-12-19 01:47:07,910 - Model - INFO - Learning rate:0.000700
2019-12-19 01:47:25,052 - Model - INFO - Training mean loss: 0.439910
2019-12-19 01:47:25,053 - Model - INFO - Training accuracy: 0.869424
2019-12-19 01:47:25,054 - Model - INFO - ---- EPOCH 226 EVALUATION ----
2019-12-19 01:47:33,511 - Model - INFO - Eval mean loss: 0.828151
2019-12-19 01:47:33,512 - Model - INFO - Eval accuracy: 0.750164
2019-12-19 01:47:33,512 - Model - INFO - **** Epoch 227 (227/1024) ****
2019-12-19 01:47:33,512 - Model - INFO - Learning rate:0.000700
2019-12-19 01:47:52,623 - Model - INFO - Training mean loss: 0.443139
2019-12-19 01:47:52,623 - Model - INFO - Training accuracy: 0.862181
2019-12-19 01:47:52,625 - Model - INFO - ---- EPOCH 227 EVALUATION ----
2019-12-19 01:48:01,018 - Model - INFO - Eval mean loss: 0.859432
2019-12-19 01:48:01,019 - Model - INFO - Eval accuracy: 0.729902
2019-12-19 01:48:01,019 - Model - INFO - **** Epoch 228 (228/1024) ****
2019-12-19 01:48:01,019 - Model - INFO - Learning rate:0.000700
2019-12-19 01:48:18,975 - Model - INFO - Training mean loss: 0.424944
2019-12-19 01:48:18,975 - Model - INFO - Training accuracy: 0.865848
2019-12-19 01:48:18,976 - Model - INFO - ---- EPOCH 228 EVALUATION ----
2019-12-19 01:48:27,597 - Model - INFO - Eval mean loss: 0.877055
2019-12-19 01:48:27,598 - Model - INFO - Eval accuracy: 0.740626
2019-12-19 01:48:27,598 - Model - INFO - **** Epoch 229 (229/1024) ****
2019-12-19 01:48:27,598 - Model - INFO - Learning rate:0.000700
2019-12-19 01:48:46,237 - Model - INFO - Training mean loss: 0.433454
2019-12-19 01:48:46,237 - Model - INFO - Training accuracy: 0.867489
2019-12-19 01:48:46,238 - Model - INFO - ---- EPOCH 229 EVALUATION ----
2019-12-19 01:48:54,590 - Model - INFO - Eval mean loss: 0.702147
2019-12-19 01:48:54,590 - Model - INFO - Eval accuracy: 0.771890
2019-12-19 01:48:54,590 - Model - INFO - **** Epoch 230 (230/1024) ****
2019-12-19 01:48:54,590 - Model - INFO - Learning rate:0.000700
2019-12-19 01:49:11,969 - Model - INFO - Training mean loss: 0.423240
2019-12-19 01:49:11,969 - Model - INFO - Training accuracy: 0.868810
2019-12-19 01:49:11,970 - Model - INFO - ---- EPOCH 230 EVALUATION ----
2019-12-19 01:49:20,416 - Model - INFO - Eval mean loss: 0.790615
2019-12-19 01:49:20,416 - Model - INFO - Eval accuracy: 0.743034
2019-12-19 01:49:20,416 - Model - INFO - **** Epoch 231 (231/1024) ****
2019-12-19 01:49:20,416 - Model - INFO - Learning rate:0.000700
2019-12-19 01:49:37,861 - Model - INFO - Training mean loss: 0.415192
2019-12-19 01:49:37,861 - Model - INFO - Training accuracy: 0.867075
2019-12-19 01:49:37,861 - Model - INFO - Save model...
2019-12-19 01:49:37,861 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:49:37,885 - Model - INFO - Saving model....
2019-12-19 01:49:37,886 - Model - INFO - ---- EPOCH 231 EVALUATION ----
2019-12-19 01:49:46,381 - Model - INFO - Eval mean loss: 0.749299
2019-12-19 01:49:46,381 - Model - INFO - Eval accuracy: 0.756841
2019-12-19 01:49:46,381 - Model - INFO - **** Epoch 232 (232/1024) ****
2019-12-19 01:49:46,381 - Model - INFO - Learning rate:0.000700
2019-12-19 01:50:04,390 - Model - INFO - Training mean loss: 0.396887
2019-12-19 01:50:04,390 - Model - INFO - Training accuracy: 0.875602
2019-12-19 01:50:04,392 - Model - INFO - ---- EPOCH 232 EVALUATION ----
2019-12-19 01:50:12,756 - Model - INFO - Eval mean loss: 0.757745
2019-12-19 01:50:12,756 - Model - INFO - Eval accuracy: 0.757833
2019-12-19 01:50:12,756 - Model - INFO - **** Epoch 233 (233/1024) ****
2019-12-19 01:50:12,756 - Model - INFO - Learning rate:0.000700
2019-12-19 01:50:30,946 - Model - INFO - Training mean loss: 0.437302
2019-12-19 01:50:30,946 - Model - INFO - Training accuracy: 0.865679
2019-12-19 01:50:30,947 - Model - INFO - ---- EPOCH 233 EVALUATION ----
2019-12-19 01:50:39,392 - Model - INFO - Eval mean loss: 0.868772
2019-12-19 01:50:39,392 - Model - INFO - Eval accuracy: 0.719003
2019-12-19 01:50:39,392 - Model - INFO - **** Epoch 234 (234/1024) ****
2019-12-19 01:50:39,392 - Model - INFO - Learning rate:0.000700
2019-12-19 01:50:57,320 - Model - INFO - Training mean loss: 0.427780
2019-12-19 01:50:57,320 - Model - INFO - Training accuracy: 0.863560
2019-12-19 01:50:57,322 - Model - INFO - ---- EPOCH 234 EVALUATION ----
2019-12-19 01:51:05,886 - Model - INFO - Eval mean loss: 0.928293
2019-12-19 01:51:05,887 - Model - INFO - Eval accuracy: 0.752287
2019-12-19 01:51:05,887 - Model - INFO - **** Epoch 235 (235/1024) ****
2019-12-19 01:51:05,887 - Model - INFO - Learning rate:0.000700
2019-12-19 01:51:23,991 - Model - INFO - Training mean loss: 0.401276
2019-12-19 01:51:23,992 - Model - INFO - Training accuracy: 0.874317
2019-12-19 01:51:23,993 - Model - INFO - ---- EPOCH 235 EVALUATION ----
2019-12-19 01:51:32,364 - Model - INFO - Eval mean loss: 0.789437
2019-12-19 01:51:32,364 - Model - INFO - Eval accuracy: 0.758620
2019-12-19 01:51:32,364 - Model - INFO - **** Epoch 236 (236/1024) ****
2019-12-19 01:51:32,364 - Model - INFO - Learning rate:0.000700
2019-12-19 01:51:50,332 - Model - INFO - Training mean loss: 0.388524
2019-12-19 01:51:50,332 - Model - INFO - Training accuracy: 0.878414
2019-12-19 01:51:50,334 - Model - INFO - ---- EPOCH 236 EVALUATION ----
2019-12-19 01:51:58,955 - Model - INFO - Eval mean loss: 0.995301
2019-12-19 01:51:58,955 - Model - INFO - Eval accuracy: 0.719499
2019-12-19 01:51:58,955 - Model - INFO - **** Epoch 237 (237/1024) ****
2019-12-19 01:51:58,956 - Model - INFO - Learning rate:0.000700
2019-12-19 01:52:18,220 - Model - INFO - Training mean loss: 0.387483
2019-12-19 01:52:18,220 - Model - INFO - Training accuracy: 0.876779
2019-12-19 01:52:18,223 - Model - INFO - ---- EPOCH 237 EVALUATION ----
2019-12-19 01:52:26,873 - Model - INFO - Eval mean loss: 0.748341
2019-12-19 01:52:26,873 - Model - INFO - Eval accuracy: 0.747921
2019-12-19 01:52:26,873 - Model - INFO - **** Epoch 238 (238/1024) ****
2019-12-19 01:52:26,874 - Model - INFO - Learning rate:0.000700
2019-12-19 01:52:44,844 - Model - INFO - Training mean loss: 0.398275
2019-12-19 01:52:44,844 - Model - INFO - Training accuracy: 0.873046
2019-12-19 01:52:44,845 - Model - INFO - ---- EPOCH 238 EVALUATION ----
2019-12-19 01:52:53,176 - Model - INFO - Eval mean loss: 0.781424
2019-12-19 01:52:53,176 - Model - INFO - Eval accuracy: 0.747138
2019-12-19 01:52:53,176 - Model - INFO - **** Epoch 239 (239/1024) ****
2019-12-19 01:52:53,176 - Model - INFO - Learning rate:0.000700
2019-12-19 01:53:10,529 - Model - INFO - Training mean loss: 0.403336
2019-12-19 01:53:10,529 - Model - INFO - Training accuracy: 0.864575
2019-12-19 01:53:10,531 - Model - INFO - ---- EPOCH 239 EVALUATION ----
2019-12-19 01:53:18,863 - Model - INFO - Eval mean loss: 0.721164
2019-12-19 01:53:18,863 - Model - INFO - Eval accuracy: 0.763901
2019-12-19 01:53:18,864 - Model - INFO - **** Epoch 240 (240/1024) ****
2019-12-19 01:53:18,864 - Model - INFO - Learning rate:0.000700
2019-12-19 01:53:36,356 - Model - INFO - Training mean loss: 0.467178
2019-12-19 01:53:36,356 - Model - INFO - Training accuracy: 0.857663
2019-12-19 01:53:36,358 - Model - INFO - ---- EPOCH 240 EVALUATION ----
2019-12-19 01:53:44,888 - Model - INFO - Eval mean loss: 0.750751
2019-12-19 01:53:44,888 - Model - INFO - Eval accuracy: 0.758152
2019-12-19 01:53:44,888 - Model - INFO - **** Epoch 241 (241/1024) ****
2019-12-19 01:53:44,889 - Model - INFO - Learning rate:0.000700
2019-12-19 01:54:04,324 - Model - INFO - Training mean loss: 0.414596
2019-12-19 01:54:04,325 - Model - INFO - Training accuracy: 0.867800
2019-12-19 01:54:04,325 - Model - INFO - Save model...
2019-12-19 01:54:04,325 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:54:04,351 - Model - INFO - Saving model....
2019-12-19 01:54:04,352 - Model - INFO - ---- EPOCH 241 EVALUATION ----
2019-12-19 01:54:12,700 - Model - INFO - Eval mean loss: 0.821569
2019-12-19 01:54:12,701 - Model - INFO - Eval accuracy: 0.758053
2019-12-19 01:54:12,701 - Model - INFO - **** Epoch 242 (242/1024) ****
2019-12-19 01:54:12,701 - Model - INFO - Learning rate:0.000700
2019-12-19 01:54:30,165 - Model - INFO - Training mean loss: 0.376400
2019-12-19 01:54:30,165 - Model - INFO - Training accuracy: 0.877870
2019-12-19 01:54:30,167 - Model - INFO - ---- EPOCH 242 EVALUATION ----
2019-12-19 01:54:38,651 - Model - INFO - Eval mean loss: 0.754244
2019-12-19 01:54:38,652 - Model - INFO - Eval accuracy: 0.759779
2019-12-19 01:54:38,652 - Model - INFO - **** Epoch 243 (243/1024) ****
2019-12-19 01:54:38,652 - Model - INFO - Learning rate:0.000700
2019-12-19 01:54:56,587 - Model - INFO - Training mean loss: 0.449155
2019-12-19 01:54:56,587 - Model - INFO - Training accuracy: 0.865403
2019-12-19 01:54:56,589 - Model - INFO - ---- EPOCH 243 EVALUATION ----
2019-12-19 01:55:05,092 - Model - INFO - Eval mean loss: 0.896921
2019-12-19 01:55:05,092 - Model - INFO - Eval accuracy: 0.748969
2019-12-19 01:55:05,093 - Model - INFO - **** Epoch 244 (244/1024) ****
2019-12-19 01:55:05,093 - Model - INFO - Learning rate:0.000700
2019-12-19 01:55:23,176 - Model - INFO - Training mean loss: 0.464739
2019-12-19 01:55:23,176 - Model - INFO - Training accuracy: 0.850979
2019-12-19 01:55:23,178 - Model - INFO - ---- EPOCH 244 EVALUATION ----
2019-12-19 01:55:31,732 - Model - INFO - Eval mean loss: 0.788340
2019-12-19 01:55:31,732 - Model - INFO - Eval accuracy: 0.755527
2019-12-19 01:55:31,732 - Model - INFO - **** Epoch 245 (245/1024) ****
2019-12-19 01:55:31,732 - Model - INFO - Learning rate:0.000700
2019-12-19 01:55:50,592 - Model - INFO - Training mean loss: 0.415902
2019-12-19 01:55:50,592 - Model - INFO - Training accuracy: 0.872398
2019-12-19 01:55:50,593 - Model - INFO - ---- EPOCH 245 EVALUATION ----
2019-12-19 01:55:59,039 - Model - INFO - Eval mean loss: 0.801571
2019-12-19 01:55:59,039 - Model - INFO - Eval accuracy: 0.758202
2019-12-19 01:55:59,039 - Model - INFO - **** Epoch 246 (246/1024) ****
2019-12-19 01:55:59,039 - Model - INFO - Learning rate:0.000700
2019-12-19 01:56:17,711 - Model - INFO - Training mean loss: 0.398424
2019-12-19 01:56:17,711 - Model - INFO - Training accuracy: 0.877516
2019-12-19 01:56:17,712 - Model - INFO - ---- EPOCH 246 EVALUATION ----
2019-12-19 01:56:26,369 - Model - INFO - Eval mean loss: 0.754968
2019-12-19 01:56:26,369 - Model - INFO - Eval accuracy: 0.749557
2019-12-19 01:56:26,370 - Model - INFO - **** Epoch 247 (247/1024) ****
2019-12-19 01:56:26,370 - Model - INFO - Learning rate:0.000700
2019-12-19 01:56:45,589 - Model - INFO - Training mean loss: 0.402969
2019-12-19 01:56:45,590 - Model - INFO - Training accuracy: 0.867821
2019-12-19 01:56:45,591 - Model - INFO - ---- EPOCH 247 EVALUATION ----
2019-12-19 01:56:54,061 - Model - INFO - Eval mean loss: 0.710600
2019-12-19 01:56:54,061 - Model - INFO - Eval accuracy: 0.781487
2019-12-19 01:56:54,061 - Model - INFO - **** Epoch 248 (248/1024) ****
2019-12-19 01:56:54,061 - Model - INFO - Learning rate:0.000700
2019-12-19 01:57:11,686 - Model - INFO - Training mean loss: 0.391904
2019-12-19 01:57:11,686 - Model - INFO - Training accuracy: 0.877331
2019-12-19 01:57:11,687 - Model - INFO - ---- EPOCH 248 EVALUATION ----
2019-12-19 01:57:20,021 - Model - INFO - Eval mean loss: 0.683026
2019-12-19 01:57:20,021 - Model - INFO - Eval accuracy: 0.760449
2019-12-19 01:57:20,021 - Model - INFO - **** Epoch 249 (249/1024) ****
2019-12-19 01:57:20,021 - Model - INFO - Learning rate:0.000700
2019-12-19 01:57:39,060 - Model - INFO - Training mean loss: 0.394796
2019-12-19 01:57:39,060 - Model - INFO - Training accuracy: 0.871157
2019-12-19 01:57:39,062 - Model - INFO - ---- EPOCH 249 EVALUATION ----
2019-12-19 01:57:47,521 - Model - INFO - Eval mean loss: 0.800365
2019-12-19 01:57:47,521 - Model - INFO - Eval accuracy: 0.729085
2019-12-19 01:57:47,521 - Model - INFO - **** Epoch 250 (250/1024) ****
2019-12-19 01:57:47,522 - Model - INFO - Learning rate:0.000700
2019-12-19 01:58:06,586 - Model - INFO - Training mean loss: 0.438498
2019-12-19 01:58:06,586 - Model - INFO - Training accuracy: 0.867620
2019-12-19 01:58:06,588 - Model - INFO - ---- EPOCH 250 EVALUATION ----
2019-12-19 01:58:14,919 - Model - INFO - Eval mean loss: 0.807623
2019-12-19 01:58:14,920 - Model - INFO - Eval accuracy: 0.762117
2019-12-19 01:58:14,920 - Model - INFO - **** Epoch 251 (251/1024) ****
2019-12-19 01:58:14,920 - Model - INFO - Learning rate:0.000700
2019-12-19 01:58:33,711 - Model - INFO - Training mean loss: 0.421751
2019-12-19 01:58:33,711 - Model - INFO - Training accuracy: 0.872381
2019-12-19 01:58:33,711 - Model - INFO - Save model...
2019-12-19 01:58:33,711 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 01:58:33,735 - Model - INFO - Saving model....
2019-12-19 01:58:33,736 - Model - INFO - ---- EPOCH 251 EVALUATION ----
2019-12-19 01:58:42,205 - Model - INFO - Eval mean loss: 0.814508
2019-12-19 01:58:42,205 - Model - INFO - Eval accuracy: 0.741186
2019-12-19 01:58:42,205 - Model - INFO - **** Epoch 252 (252/1024) ****
2019-12-19 01:58:42,205 - Model - INFO - Learning rate:0.000700
2019-12-19 01:58:59,726 - Model - INFO - Training mean loss: 0.443478
2019-12-19 01:58:59,726 - Model - INFO - Training accuracy: 0.865847
2019-12-19 01:58:59,727 - Model - INFO - ---- EPOCH 252 EVALUATION ----
2019-12-19 01:59:08,233 - Model - INFO - Eval mean loss: 0.740185
2019-12-19 01:59:08,234 - Model - INFO - Eval accuracy: 0.755183
2019-12-19 01:59:08,234 - Model - INFO - **** Epoch 253 (253/1024) ****
2019-12-19 01:59:08,234 - Model - INFO - Learning rate:0.000700
2019-12-19 01:59:26,164 - Model - INFO - Training mean loss: 0.452130
2019-12-19 01:59:26,164 - Model - INFO - Training accuracy: 0.865312
2019-12-19 01:59:26,166 - Model - INFO - ---- EPOCH 253 EVALUATION ----
2019-12-19 01:59:34,599 - Model - INFO - Eval mean loss: 0.837691
2019-12-19 01:59:34,599 - Model - INFO - Eval accuracy: 0.762158
2019-12-19 01:59:34,599 - Model - INFO - **** Epoch 254 (254/1024) ****
2019-12-19 01:59:34,599 - Model - INFO - Learning rate:0.000700
2019-12-19 01:59:52,202 - Model - INFO - Training mean loss: 0.416555
2019-12-19 01:59:52,202 - Model - INFO - Training accuracy: 0.870176
2019-12-19 01:59:52,204 - Model - INFO - ---- EPOCH 254 EVALUATION ----
2019-12-19 02:00:00,619 - Model - INFO - Eval mean loss: 0.765131
2019-12-19 02:00:00,620 - Model - INFO - Eval accuracy: 0.764896
2019-12-19 02:00:00,620 - Model - INFO - **** Epoch 255 (255/1024) ****
2019-12-19 02:00:00,620 - Model - INFO - Learning rate:0.000700
2019-12-19 02:00:18,911 - Model - INFO - Training mean loss: 0.450857
2019-12-19 02:00:18,911 - Model - INFO - Training accuracy: 0.851798
2019-12-19 02:00:18,914 - Model - INFO - ---- EPOCH 255 EVALUATION ----
2019-12-19 02:00:27,519 - Model - INFO - Eval mean loss: 0.701086
2019-12-19 02:00:27,519 - Model - INFO - Eval accuracy: 0.755897
2019-12-19 02:00:27,519 - Model - INFO - **** Epoch 256 (256/1024) ****
2019-12-19 02:00:27,519 - Model - INFO - Learning rate:0.000700
2019-12-19 02:00:46,717 - Model - INFO - Training mean loss: 0.415459
2019-12-19 02:00:46,717 - Model - INFO - Training accuracy: 0.869698
2019-12-19 02:00:46,719 - Model - INFO - ---- EPOCH 256 EVALUATION ----
2019-12-19 02:00:55,247 - Model - INFO - Eval mean loss: 0.862469
2019-12-19 02:00:55,248 - Model - INFO - Eval accuracy: 0.746336
2019-12-19 02:00:55,248 - Model - INFO - **** Epoch 257 (257/1024) ****
2019-12-19 02:00:55,248 - Model - INFO - Learning rate:0.000700
2019-12-19 02:01:13,992 - Model - INFO - Training mean loss: 0.411621
2019-12-19 02:01:13,992 - Model - INFO - Training accuracy: 0.871934
2019-12-19 02:01:13,995 - Model - INFO - ---- EPOCH 257 EVALUATION ----
2019-12-19 02:01:22,605 - Model - INFO - Eval mean loss: 0.752903
2019-12-19 02:01:22,606 - Model - INFO - Eval accuracy: 0.751107
2019-12-19 02:01:22,606 - Model - INFO - **** Epoch 258 (258/1024) ****
2019-12-19 02:01:22,606 - Model - INFO - Learning rate:0.000700
2019-12-19 02:01:40,129 - Model - INFO - Training mean loss: 0.404751
2019-12-19 02:01:40,129 - Model - INFO - Training accuracy: 0.871687
2019-12-19 02:01:40,131 - Model - INFO - ---- EPOCH 258 EVALUATION ----
2019-12-19 02:01:48,551 - Model - INFO - Eval mean loss: 0.797658
2019-12-19 02:01:48,551 - Model - INFO - Eval accuracy: 0.753689
2019-12-19 02:01:48,552 - Model - INFO - **** Epoch 259 (259/1024) ****
2019-12-19 02:01:48,552 - Model - INFO - Learning rate:0.000700
2019-12-19 02:02:06,622 - Model - INFO - Training mean loss: 0.403493
2019-12-19 02:02:06,622 - Model - INFO - Training accuracy: 0.877452
2019-12-19 02:02:06,623 - Model - INFO - ---- EPOCH 259 EVALUATION ----
2019-12-19 02:02:15,165 - Model - INFO - Eval mean loss: 0.659996
2019-12-19 02:02:15,165 - Model - INFO - Eval accuracy: 0.769586
2019-12-19 02:02:15,165 - Model - INFO - **** Epoch 260 (260/1024) ****
2019-12-19 02:02:15,165 - Model - INFO - Learning rate:0.000700
2019-12-19 02:02:32,594 - Model - INFO - Training mean loss: 0.431767
2019-12-19 02:02:32,595 - Model - INFO - Training accuracy: 0.866823
2019-12-19 02:02:32,596 - Model - INFO - ---- EPOCH 260 EVALUATION ----
2019-12-19 02:02:41,147 - Model - INFO - Eval mean loss: 0.690519
2019-12-19 02:02:41,147 - Model - INFO - Eval accuracy: 0.771003
2019-12-19 02:02:41,147 - Model - INFO - **** Epoch 261 (261/1024) ****
2019-12-19 02:02:41,147 - Model - INFO - Learning rate:0.000700
2019-12-19 02:02:59,229 - Model - INFO - Training mean loss: 0.429279
2019-12-19 02:02:59,229 - Model - INFO - Training accuracy: 0.861288
2019-12-19 02:02:59,229 - Model - INFO - Save model...
2019-12-19 02:02:59,229 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:02:59,254 - Model - INFO - Saving model....
2019-12-19 02:02:59,255 - Model - INFO - ---- EPOCH 261 EVALUATION ----
2019-12-19 02:03:07,883 - Model - INFO - Eval mean loss: 0.780015
2019-12-19 02:03:07,883 - Model - INFO - Eval accuracy: 0.760946
2019-12-19 02:03:07,884 - Model - INFO - **** Epoch 262 (262/1024) ****
2019-12-19 02:03:07,884 - Model - INFO - Learning rate:0.000700
2019-12-19 02:03:25,803 - Model - INFO - Training mean loss: 0.394189
2019-12-19 02:03:25,803 - Model - INFO - Training accuracy: 0.876477
2019-12-19 02:03:25,804 - Model - INFO - ---- EPOCH 262 EVALUATION ----
2019-12-19 02:03:34,106 - Model - INFO - Eval mean loss: 0.769372
2019-12-19 02:03:34,107 - Model - INFO - Eval accuracy: 0.764396
2019-12-19 02:03:34,107 - Model - INFO - **** Epoch 263 (263/1024) ****
2019-12-19 02:03:34,107 - Model - INFO - Learning rate:0.000700
2019-12-19 02:03:53,382 - Model - INFO - Training mean loss: 0.411460
2019-12-19 02:03:53,383 - Model - INFO - Training accuracy: 0.869696
2019-12-19 02:03:53,384 - Model - INFO - ---- EPOCH 263 EVALUATION ----
2019-12-19 02:04:01,841 - Model - INFO - Eval mean loss: 0.831157
2019-12-19 02:04:01,842 - Model - INFO - Eval accuracy: 0.741240
2019-12-19 02:04:01,842 - Model - INFO - **** Epoch 264 (264/1024) ****
2019-12-19 02:04:01,842 - Model - INFO - Learning rate:0.000700
2019-12-19 02:04:20,175 - Model - INFO - Training mean loss: 0.414977
2019-12-19 02:04:20,175 - Model - INFO - Training accuracy: 0.872168
2019-12-19 02:04:20,177 - Model - INFO - ---- EPOCH 264 EVALUATION ----
2019-12-19 02:04:28,607 - Model - INFO - Eval mean loss: 0.747792
2019-12-19 02:04:28,608 - Model - INFO - Eval accuracy: 0.739744
2019-12-19 02:04:28,608 - Model - INFO - **** Epoch 265 (265/1024) ****
2019-12-19 02:04:28,608 - Model - INFO - Learning rate:0.000700
2019-12-19 02:04:46,426 - Model - INFO - Training mean loss: 0.407660
2019-12-19 02:04:46,426 - Model - INFO - Training accuracy: 0.865995
2019-12-19 02:04:46,429 - Model - INFO - ---- EPOCH 265 EVALUATION ----
2019-12-19 02:04:54,981 - Model - INFO - Eval mean loss: 0.853903
2019-12-19 02:04:54,981 - Model - INFO - Eval accuracy: 0.759174
2019-12-19 02:04:54,981 - Model - INFO - **** Epoch 266 (266/1024) ****
2019-12-19 02:04:54,982 - Model - INFO - Learning rate:0.000700
2019-12-19 02:05:13,305 - Model - INFO - Training mean loss: 0.411972
2019-12-19 02:05:13,305 - Model - INFO - Training accuracy: 0.877398
2019-12-19 02:05:13,307 - Model - INFO - ---- EPOCH 266 EVALUATION ----
2019-12-19 02:05:21,842 - Model - INFO - Eval mean loss: 0.800816
2019-12-19 02:05:21,843 - Model - INFO - Eval accuracy: 0.764889
2019-12-19 02:05:21,843 - Model - INFO - **** Epoch 267 (267/1024) ****
2019-12-19 02:05:21,843 - Model - INFO - Learning rate:0.000700
2019-12-19 02:05:39,281 - Model - INFO - Training mean loss: 0.416587
2019-12-19 02:05:39,282 - Model - INFO - Training accuracy: 0.860374
2019-12-19 02:05:39,283 - Model - INFO - ---- EPOCH 267 EVALUATION ----
2019-12-19 02:05:47,702 - Model - INFO - Eval mean loss: 0.830064
2019-12-19 02:05:47,702 - Model - INFO - Eval accuracy: 0.750395
2019-12-19 02:05:47,702 - Model - INFO - **** Epoch 268 (268/1024) ****
2019-12-19 02:05:47,702 - Model - INFO - Learning rate:0.000700
2019-12-19 02:06:05,924 - Model - INFO - Training mean loss: 0.411611
2019-12-19 02:06:05,924 - Model - INFO - Training accuracy: 0.877593
2019-12-19 02:06:05,925 - Model - INFO - ---- EPOCH 268 EVALUATION ----
2019-12-19 02:06:14,425 - Model - INFO - Eval mean loss: 0.721280
2019-12-19 02:06:14,426 - Model - INFO - Eval accuracy: 0.749142
2019-12-19 02:06:14,426 - Model - INFO - **** Epoch 269 (269/1024) ****
2019-12-19 02:06:14,426 - Model - INFO - Learning rate:0.000700
2019-12-19 02:06:32,268 - Model - INFO - Training mean loss: 0.414633
2019-12-19 02:06:32,268 - Model - INFO - Training accuracy: 0.866117
2019-12-19 02:06:32,270 - Model - INFO - ---- EPOCH 269 EVALUATION ----
2019-12-19 02:06:40,724 - Model - INFO - Eval mean loss: 0.697435
2019-12-19 02:06:40,724 - Model - INFO - Eval accuracy: 0.771333
2019-12-19 02:06:40,724 - Model - INFO - **** Epoch 270 (270/1024) ****
2019-12-19 02:06:40,724 - Model - INFO - Learning rate:0.000700
2019-12-19 02:06:58,879 - Model - INFO - Training mean loss: 0.373816
2019-12-19 02:06:58,880 - Model - INFO - Training accuracy: 0.878494
2019-12-19 02:06:58,882 - Model - INFO - ---- EPOCH 270 EVALUATION ----
2019-12-19 02:07:07,345 - Model - INFO - Eval mean loss: 0.851111
2019-12-19 02:07:07,345 - Model - INFO - Eval accuracy: 0.753442
2019-12-19 02:07:07,345 - Model - INFO - **** Epoch 271 (271/1024) ****
2019-12-19 02:07:07,345 - Model - INFO - Learning rate:0.000700
2019-12-19 02:07:26,418 - Model - INFO - Training mean loss: 0.418927
2019-12-19 02:07:26,418 - Model - INFO - Training accuracy: 0.864896
2019-12-19 02:07:26,418 - Model - INFO - Save model...
2019-12-19 02:07:26,418 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:07:26,443 - Model - INFO - Saving model....
2019-12-19 02:07:26,445 - Model - INFO - ---- EPOCH 271 EVALUATION ----
2019-12-19 02:07:34,901 - Model - INFO - Eval mean loss: 0.701828
2019-12-19 02:07:34,901 - Model - INFO - Eval accuracy: 0.774465
2019-12-19 02:07:34,901 - Model - INFO - **** Epoch 272 (272/1024) ****
2019-12-19 02:07:34,901 - Model - INFO - Learning rate:0.000700
2019-12-19 02:07:52,965 - Model - INFO - Training mean loss: 0.379053
2019-12-19 02:07:52,966 - Model - INFO - Training accuracy: 0.878470
2019-12-19 02:07:52,967 - Model - INFO - ---- EPOCH 272 EVALUATION ----
2019-12-19 02:08:01,447 - Model - INFO - Eval mean loss: 0.842271
2019-12-19 02:08:01,447 - Model - INFO - Eval accuracy: 0.761325
2019-12-19 02:08:01,447 - Model - INFO - **** Epoch 273 (273/1024) ****
2019-12-19 02:08:01,447 - Model - INFO - Learning rate:0.000700
2019-12-19 02:08:18,862 - Model - INFO - Training mean loss: 0.371687
2019-12-19 02:08:18,862 - Model - INFO - Training accuracy: 0.880875
2019-12-19 02:08:18,863 - Model - INFO - ---- EPOCH 273 EVALUATION ----
2019-12-19 02:08:27,360 - Model - INFO - Eval mean loss: 0.736337
2019-12-19 02:08:27,361 - Model - INFO - Eval accuracy: 0.765540
2019-12-19 02:08:27,361 - Model - INFO - **** Epoch 274 (274/1024) ****
2019-12-19 02:08:27,361 - Model - INFO - Learning rate:0.000700
2019-12-19 02:08:45,411 - Model - INFO - Training mean loss: 0.386245
2019-12-19 02:08:45,411 - Model - INFO - Training accuracy: 0.879762
2019-12-19 02:08:45,412 - Model - INFO - ---- EPOCH 274 EVALUATION ----
2019-12-19 02:08:53,796 - Model - INFO - Eval mean loss: 0.782128
2019-12-19 02:08:53,797 - Model - INFO - Eval accuracy: 0.759360
2019-12-19 02:08:53,797 - Model - INFO - **** Epoch 275 (275/1024) ****
2019-12-19 02:08:53,797 - Model - INFO - Learning rate:0.000700
2019-12-19 02:09:13,092 - Model - INFO - Training mean loss: 0.417983
2019-12-19 02:09:13,092 - Model - INFO - Training accuracy: 0.863519
2019-12-19 02:09:13,094 - Model - INFO - ---- EPOCH 275 EVALUATION ----
2019-12-19 02:09:21,563 - Model - INFO - Eval mean loss: 0.728884
2019-12-19 02:09:21,563 - Model - INFO - Eval accuracy: 0.741009
2019-12-19 02:09:21,563 - Model - INFO - **** Epoch 276 (276/1024) ****
2019-12-19 02:09:21,563 - Model - INFO - Learning rate:0.000700
2019-12-19 02:09:40,577 - Model - INFO - Training mean loss: 0.400919
2019-12-19 02:09:40,577 - Model - INFO - Training accuracy: 0.873139
2019-12-19 02:09:40,580 - Model - INFO - ---- EPOCH 276 EVALUATION ----
2019-12-19 02:09:49,206 - Model - INFO - Eval mean loss: 0.824990
2019-12-19 02:09:49,206 - Model - INFO - Eval accuracy: 0.753074
2019-12-19 02:09:49,206 - Model - INFO - **** Epoch 277 (277/1024) ****
2019-12-19 02:09:49,206 - Model - INFO - Learning rate:0.000700
2019-12-19 02:10:06,902 - Model - INFO - Training mean loss: 0.411654
2019-12-19 02:10:06,903 - Model - INFO - Training accuracy: 0.872686
2019-12-19 02:10:06,904 - Model - INFO - ---- EPOCH 277 EVALUATION ----
2019-12-19 02:10:15,419 - Model - INFO - Eval mean loss: 0.824303
2019-12-19 02:10:15,419 - Model - INFO - Eval accuracy: 0.760466
2019-12-19 02:10:15,419 - Model - INFO - **** Epoch 278 (278/1024) ****
2019-12-19 02:10:15,420 - Model - INFO - Learning rate:0.000700
2019-12-19 02:10:34,456 - Model - INFO - Training mean loss: 0.399916
2019-12-19 02:10:34,456 - Model - INFO - Training accuracy: 0.869543
2019-12-19 02:10:34,458 - Model - INFO - ---- EPOCH 278 EVALUATION ----
2019-12-19 02:10:43,012 - Model - INFO - Eval mean loss: 0.703966
2019-12-19 02:10:43,012 - Model - INFO - Eval accuracy: 0.788201
2019-12-19 02:10:43,012 - Model - INFO - **** Epoch 279 (279/1024) ****
2019-12-19 02:10:43,012 - Model - INFO - Learning rate:0.000700
2019-12-19 02:11:01,128 - Model - INFO - Training mean loss: 0.371841
2019-12-19 02:11:01,128 - Model - INFO - Training accuracy: 0.881142
2019-12-19 02:11:01,129 - Model - INFO - ---- EPOCH 279 EVALUATION ----
2019-12-19 02:11:09,583 - Model - INFO - Eval mean loss: 0.818896
2019-12-19 02:11:09,583 - Model - INFO - Eval accuracy: 0.753798
2019-12-19 02:11:09,583 - Model - INFO - **** Epoch 280 (280/1024) ****
2019-12-19 02:11:09,583 - Model - INFO - Learning rate:0.000700
2019-12-19 02:11:28,668 - Model - INFO - Training mean loss: 0.387925
2019-12-19 02:11:28,669 - Model - INFO - Training accuracy: 0.876961
2019-12-19 02:11:28,671 - Model - INFO - ---- EPOCH 280 EVALUATION ----
2019-12-19 02:11:37,037 - Model - INFO - Eval mean loss: 0.701584
2019-12-19 02:11:37,037 - Model - INFO - Eval accuracy: 0.773282
2019-12-19 02:11:37,037 - Model - INFO - **** Epoch 281 (281/1024) ****
2019-12-19 02:11:37,037 - Model - INFO - Learning rate:0.000700
2019-12-19 02:11:54,813 - Model - INFO - Training mean loss: 0.421666
2019-12-19 02:11:54,814 - Model - INFO - Training accuracy: 0.864249
2019-12-19 02:11:54,814 - Model - INFO - Save model...
2019-12-19 02:11:54,814 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:11:54,839 - Model - INFO - Saving model....
2019-12-19 02:11:54,841 - Model - INFO - ---- EPOCH 281 EVALUATION ----
2019-12-19 02:12:03,238 - Model - INFO - Eval mean loss: 0.753830
2019-12-19 02:12:03,239 - Model - INFO - Eval accuracy: 0.774833
2019-12-19 02:12:03,239 - Model - INFO - **** Epoch 282 (282/1024) ****
2019-12-19 02:12:03,239 - Model - INFO - Learning rate:0.000700
2019-12-19 02:12:21,238 - Model - INFO - Training mean loss: 0.396793
2019-12-19 02:12:21,238 - Model - INFO - Training accuracy: 0.880095
2019-12-19 02:12:21,240 - Model - INFO - ---- EPOCH 282 EVALUATION ----
2019-12-19 02:12:29,766 - Model - INFO - Eval mean loss: 0.691220
2019-12-19 02:12:29,766 - Model - INFO - Eval accuracy: 0.773031
2019-12-19 02:12:29,766 - Model - INFO - **** Epoch 283 (283/1024) ****
2019-12-19 02:12:29,767 - Model - INFO - Learning rate:0.000700
2019-12-19 02:12:48,309 - Model - INFO - Training mean loss: 0.375946
2019-12-19 02:12:48,309 - Model - INFO - Training accuracy: 0.880156
2019-12-19 02:12:48,311 - Model - INFO - ---- EPOCH 283 EVALUATION ----
2019-12-19 02:12:56,858 - Model - INFO - Eval mean loss: 0.645913
2019-12-19 02:12:56,859 - Model - INFO - Eval accuracy: 0.773390
2019-12-19 02:12:56,859 - Model - INFO - **** Epoch 284 (284/1024) ****
2019-12-19 02:12:56,859 - Model - INFO - Learning rate:0.000700
2019-12-19 02:13:14,825 - Model - INFO - Training mean loss: 0.393142
2019-12-19 02:13:14,826 - Model - INFO - Training accuracy: 0.871130
2019-12-19 02:13:14,828 - Model - INFO - ---- EPOCH 284 EVALUATION ----
2019-12-19 02:13:23,340 - Model - INFO - Eval mean loss: 0.895416
2019-12-19 02:13:23,341 - Model - INFO - Eval accuracy: 0.749542
2019-12-19 02:13:23,341 - Model - INFO - **** Epoch 285 (285/1024) ****
2019-12-19 02:13:23,341 - Model - INFO - Learning rate:0.000700
2019-12-19 02:13:41,218 - Model - INFO - Training mean loss: 0.396330
2019-12-19 02:13:41,218 - Model - INFO - Training accuracy: 0.874646
2019-12-19 02:13:41,219 - Model - INFO - ---- EPOCH 285 EVALUATION ----
2019-12-19 02:13:49,570 - Model - INFO - Eval mean loss: 0.806638
2019-12-19 02:13:49,570 - Model - INFO - Eval accuracy: 0.758404
2019-12-19 02:13:49,570 - Model - INFO - **** Epoch 286 (286/1024) ****
2019-12-19 02:13:49,570 - Model - INFO - Learning rate:0.000700
2019-12-19 02:14:08,284 - Model - INFO - Training mean loss: 0.408814
2019-12-19 02:14:08,285 - Model - INFO - Training accuracy: 0.865773
2019-12-19 02:14:08,286 - Model - INFO - ---- EPOCH 286 EVALUATION ----
2019-12-19 02:14:16,770 - Model - INFO - Eval mean loss: 0.794247
2019-12-19 02:14:16,771 - Model - INFO - Eval accuracy: 0.732837
2019-12-19 02:14:16,771 - Model - INFO - **** Epoch 287 (287/1024) ****
2019-12-19 02:14:16,771 - Model - INFO - Learning rate:0.000700
2019-12-19 02:14:35,211 - Model - INFO - Training mean loss: 0.402830
2019-12-19 02:14:35,211 - Model - INFO - Training accuracy: 0.868035
2019-12-19 02:14:35,212 - Model - INFO - ---- EPOCH 287 EVALUATION ----
2019-12-19 02:14:43,653 - Model - INFO - Eval mean loss: 0.755010
2019-12-19 02:14:43,654 - Model - INFO - Eval accuracy: 0.762663
2019-12-19 02:14:43,654 - Model - INFO - **** Epoch 288 (288/1024) ****
2019-12-19 02:14:43,654 - Model - INFO - Learning rate:0.000700
2019-12-19 02:15:03,582 - Model - INFO - Training mean loss: 0.378268
2019-12-19 02:15:03,582 - Model - INFO - Training accuracy: 0.874042
2019-12-19 02:15:03,584 - Model - INFO - ---- EPOCH 288 EVALUATION ----
2019-12-19 02:15:12,019 - Model - INFO - Eval mean loss: 0.733624
2019-12-19 02:15:12,019 - Model - INFO - Eval accuracy: 0.743702
2019-12-19 02:15:12,019 - Model - INFO - **** Epoch 289 (289/1024) ****
2019-12-19 02:15:12,019 - Model - INFO - Learning rate:0.000700
2019-12-19 02:15:29,723 - Model - INFO - Training mean loss: 0.371656
2019-12-19 02:15:29,723 - Model - INFO - Training accuracy: 0.881123
2019-12-19 02:15:29,724 - Model - INFO - ---- EPOCH 289 EVALUATION ----
2019-12-19 02:15:38,278 - Model - INFO - Eval mean loss: 0.791739
2019-12-19 02:15:38,279 - Model - INFO - Eval accuracy: 0.755442
2019-12-19 02:15:38,279 - Model - INFO - **** Epoch 290 (290/1024) ****
2019-12-19 02:15:38,279 - Model - INFO - Learning rate:0.000700
2019-12-19 02:15:56,891 - Model - INFO - Training mean loss: 0.398813
2019-12-19 02:15:56,892 - Model - INFO - Training accuracy: 0.875831
2019-12-19 02:15:56,893 - Model - INFO - ---- EPOCH 290 EVALUATION ----
2019-12-19 02:16:05,409 - Model - INFO - Eval mean loss: 0.758585
2019-12-19 02:16:05,409 - Model - INFO - Eval accuracy: 0.758414
2019-12-19 02:16:05,409 - Model - INFO - **** Epoch 291 (291/1024) ****
2019-12-19 02:16:05,409 - Model - INFO - Learning rate:0.000700
2019-12-19 02:16:23,665 - Model - INFO - Training mean loss: 0.403155
2019-12-19 02:16:23,665 - Model - INFO - Training accuracy: 0.871542
2019-12-19 02:16:23,666 - Model - INFO - Save model...
2019-12-19 02:16:23,666 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:16:23,690 - Model - INFO - Saving model....
2019-12-19 02:16:23,691 - Model - INFO - ---- EPOCH 291 EVALUATION ----
2019-12-19 02:16:32,011 - Model - INFO - Eval mean loss: 0.698450
2019-12-19 02:16:32,011 - Model - INFO - Eval accuracy: 0.779126
2019-12-19 02:16:32,011 - Model - INFO - **** Epoch 292 (292/1024) ****
2019-12-19 02:16:32,011 - Model - INFO - Learning rate:0.000700
2019-12-19 02:16:50,770 - Model - INFO - Training mean loss: 0.417802
2019-12-19 02:16:50,770 - Model - INFO - Training accuracy: 0.867258
2019-12-19 02:16:50,772 - Model - INFO - ---- EPOCH 292 EVALUATION ----
2019-12-19 02:16:59,218 - Model - INFO - Eval mean loss: 0.666651
2019-12-19 02:16:59,218 - Model - INFO - Eval accuracy: 0.772241
2019-12-19 02:16:59,218 - Model - INFO - **** Epoch 293 (293/1024) ****
2019-12-19 02:16:59,218 - Model - INFO - Learning rate:0.000700
2019-12-19 02:17:17,655 - Model - INFO - Training mean loss: 0.409384
2019-12-19 02:17:17,655 - Model - INFO - Training accuracy: 0.874148
2019-12-19 02:17:17,657 - Model - INFO - ---- EPOCH 293 EVALUATION ----
2019-12-19 02:17:26,052 - Model - INFO - Eval mean loss: 0.768502
2019-12-19 02:17:26,053 - Model - INFO - Eval accuracy: 0.768672
2019-12-19 02:17:26,053 - Model - INFO - **** Epoch 294 (294/1024) ****
2019-12-19 02:17:26,053 - Model - INFO - Learning rate:0.000700
2019-12-19 02:17:44,340 - Model - INFO - Training mean loss: 0.414890
2019-12-19 02:17:44,340 - Model - INFO - Training accuracy: 0.868356
2019-12-19 02:17:44,342 - Model - INFO - ---- EPOCH 294 EVALUATION ----
2019-12-19 02:17:52,889 - Model - INFO - Eval mean loss: 0.805345
2019-12-19 02:17:52,889 - Model - INFO - Eval accuracy: 0.752986
2019-12-19 02:17:52,889 - Model - INFO - **** Epoch 295 (295/1024) ****
2019-12-19 02:17:52,889 - Model - INFO - Learning rate:0.000700
2019-12-19 02:18:10,451 - Model - INFO - Training mean loss: 0.431922
2019-12-19 02:18:10,451 - Model - INFO - Training accuracy: 0.860482
2019-12-19 02:18:10,453 - Model - INFO - ---- EPOCH 295 EVALUATION ----
2019-12-19 02:18:18,941 - Model - INFO - Eval mean loss: 0.792163
2019-12-19 02:18:18,941 - Model - INFO - Eval accuracy: 0.764754
2019-12-19 02:18:18,941 - Model - INFO - **** Epoch 296 (296/1024) ****
2019-12-19 02:18:18,941 - Model - INFO - Learning rate:0.000700
2019-12-19 02:18:37,205 - Model - INFO - Training mean loss: 0.448099
2019-12-19 02:18:37,205 - Model - INFO - Training accuracy: 0.858555
2019-12-19 02:18:37,206 - Model - INFO - ---- EPOCH 296 EVALUATION ----
2019-12-19 02:18:45,553 - Model - INFO - Eval mean loss: 0.760922
2019-12-19 02:18:45,554 - Model - INFO - Eval accuracy: 0.776694
2019-12-19 02:18:45,554 - Model - INFO - **** Epoch 297 (297/1024) ****
2019-12-19 02:18:45,554 - Model - INFO - Learning rate:0.000700
2019-12-19 02:19:03,459 - Model - INFO - Training mean loss: 0.428246
2019-12-19 02:19:03,460 - Model - INFO - Training accuracy: 0.866261
2019-12-19 02:19:03,462 - Model - INFO - ---- EPOCH 297 EVALUATION ----
2019-12-19 02:19:11,990 - Model - INFO - Eval mean loss: 0.760505
2019-12-19 02:19:11,990 - Model - INFO - Eval accuracy: 0.755468
2019-12-19 02:19:11,990 - Model - INFO - **** Epoch 298 (298/1024) ****
2019-12-19 02:19:11,990 - Model - INFO - Learning rate:0.000700
2019-12-19 02:19:30,229 - Model - INFO - Training mean loss: 0.429735
2019-12-19 02:19:30,230 - Model - INFO - Training accuracy: 0.862137
2019-12-19 02:19:30,231 - Model - INFO - ---- EPOCH 298 EVALUATION ----
2019-12-19 02:19:38,772 - Model - INFO - Eval mean loss: 0.875901
2019-12-19 02:19:38,772 - Model - INFO - Eval accuracy: 0.759357
2019-12-19 02:19:38,772 - Model - INFO - **** Epoch 299 (299/1024) ****
2019-12-19 02:19:38,772 - Model - INFO - Learning rate:0.000700
2019-12-19 02:19:56,276 - Model - INFO - Training mean loss: 0.368928
2019-12-19 02:19:56,276 - Model - INFO - Training accuracy: 0.880735
2019-12-19 02:19:56,279 - Model - INFO - ---- EPOCH 299 EVALUATION ----
2019-12-19 02:20:04,809 - Model - INFO - Eval mean loss: 0.740059
2019-12-19 02:20:04,809 - Model - INFO - Eval accuracy: 0.764275
2019-12-19 02:20:04,809 - Model - INFO - **** Epoch 300 (300/1024) ****
2019-12-19 02:20:04,809 - Model - INFO - Learning rate:0.000700
2019-12-19 02:20:23,411 - Model - INFO - Training mean loss: 0.368871
2019-12-19 02:20:23,411 - Model - INFO - Training accuracy: 0.881054
2019-12-19 02:20:23,413 - Model - INFO - ---- EPOCH 300 EVALUATION ----
2019-12-19 02:20:31,988 - Model - INFO - Eval mean loss: 0.716466
2019-12-19 02:20:31,989 - Model - INFO - Eval accuracy: 0.760251
2019-12-19 02:20:31,989 - Model - INFO - **** Epoch 301 (301/1024) ****
2019-12-19 02:20:31,989 - Model - INFO - Learning rate:0.000700
2019-12-19 02:20:50,729 - Model - INFO - Training mean loss: 0.344684
2019-12-19 02:20:50,730 - Model - INFO - Training accuracy: 0.891365
2019-12-19 02:20:50,730 - Model - INFO - Save model...
2019-12-19 02:20:50,730 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:20:50,754 - Model - INFO - Saving model....
2019-12-19 02:20:50,755 - Model - INFO - ---- EPOCH 301 EVALUATION ----
2019-12-19 02:20:59,157 - Model - INFO - Eval mean loss: 0.757527
2019-12-19 02:20:59,158 - Model - INFO - Eval accuracy: 0.761168
2019-12-19 02:20:59,158 - Model - INFO - **** Epoch 302 (302/1024) ****
2019-12-19 02:20:59,158 - Model - INFO - Learning rate:0.000700
2019-12-19 02:21:18,079 - Model - INFO - Training mean loss: 0.378680
2019-12-19 02:21:18,079 - Model - INFO - Training accuracy: 0.874424
2019-12-19 02:21:18,081 - Model - INFO - ---- EPOCH 302 EVALUATION ----
2019-12-19 02:21:26,590 - Model - INFO - Eval mean loss: 0.727769
2019-12-19 02:21:26,591 - Model - INFO - Eval accuracy: 0.758340
2019-12-19 02:21:26,591 - Model - INFO - **** Epoch 303 (303/1024) ****
2019-12-19 02:21:26,591 - Model - INFO - Learning rate:0.000700
2019-12-19 02:21:44,333 - Model - INFO - Training mean loss: 0.389761
2019-12-19 02:21:44,333 - Model - INFO - Training accuracy: 0.877191
2019-12-19 02:21:44,334 - Model - INFO - ---- EPOCH 303 EVALUATION ----
2019-12-19 02:21:52,761 - Model - INFO - Eval mean loss: 0.795081
2019-12-19 02:21:52,761 - Model - INFO - Eval accuracy: 0.760791
2019-12-19 02:21:52,761 - Model - INFO - **** Epoch 304 (304/1024) ****
2019-12-19 02:21:52,761 - Model - INFO - Learning rate:0.000700
2019-12-19 02:22:10,686 - Model - INFO - Training mean loss: 0.404730
2019-12-19 02:22:10,686 - Model - INFO - Training accuracy: 0.865739
2019-12-19 02:22:10,688 - Model - INFO - ---- EPOCH 304 EVALUATION ----
2019-12-19 02:22:19,125 - Model - INFO - Eval mean loss: 0.634039
2019-12-19 02:22:19,125 - Model - INFO - Eval accuracy: 0.786858
2019-12-19 02:22:19,125 - Model - INFO - **** Epoch 305 (305/1024) ****
2019-12-19 02:22:19,125 - Model - INFO - Learning rate:0.000700
2019-12-19 02:22:37,605 - Model - INFO - Training mean loss: 0.414724
2019-12-19 02:22:37,605 - Model - INFO - Training accuracy: 0.861973
2019-12-19 02:22:37,606 - Model - INFO - ---- EPOCH 305 EVALUATION ----
2019-12-19 02:22:46,176 - Model - INFO - Eval mean loss: 0.786158
2019-12-19 02:22:46,177 - Model - INFO - Eval accuracy: 0.748208
2019-12-19 02:22:46,177 - Model - INFO - **** Epoch 306 (306/1024) ****
2019-12-19 02:22:46,177 - Model - INFO - Learning rate:0.000700
2019-12-19 02:23:03,979 - Model - INFO - Training mean loss: 0.406528
2019-12-19 02:23:03,979 - Model - INFO - Training accuracy: 0.871884
2019-12-19 02:23:03,981 - Model - INFO - ---- EPOCH 306 EVALUATION ----
2019-12-19 02:23:12,387 - Model - INFO - Eval mean loss: 0.788393
2019-12-19 02:23:12,387 - Model - INFO - Eval accuracy: 0.755559
2019-12-19 02:23:12,387 - Model - INFO - **** Epoch 307 (307/1024) ****
2019-12-19 02:23:12,387 - Model - INFO - Learning rate:0.000700
2019-12-19 02:23:30,676 - Model - INFO - Training mean loss: 0.375331
2019-12-19 02:23:30,677 - Model - INFO - Training accuracy: 0.882325
2019-12-19 02:23:30,679 - Model - INFO - ---- EPOCH 307 EVALUATION ----
2019-12-19 02:23:39,261 - Model - INFO - Eval mean loss: 0.712085
2019-12-19 02:23:39,261 - Model - INFO - Eval accuracy: 0.763857
2019-12-19 02:23:39,261 - Model - INFO - **** Epoch 308 (308/1024) ****
2019-12-19 02:23:39,261 - Model - INFO - Learning rate:0.000700
2019-12-19 02:23:56,868 - Model - INFO - Training mean loss: 0.387792
2019-12-19 02:23:56,868 - Model - INFO - Training accuracy: 0.877131
2019-12-19 02:23:56,869 - Model - INFO - ---- EPOCH 308 EVALUATION ----
2019-12-19 02:24:05,345 - Model - INFO - Eval mean loss: 0.907470
2019-12-19 02:24:05,345 - Model - INFO - Eval accuracy: 0.735925
2019-12-19 02:24:05,345 - Model - INFO - **** Epoch 309 (309/1024) ****
2019-12-19 02:24:05,345 - Model - INFO - Learning rate:0.000700
2019-12-19 02:24:23,084 - Model - INFO - Training mean loss: 0.414468
2019-12-19 02:24:23,084 - Model - INFO - Training accuracy: 0.868727
2019-12-19 02:24:23,085 - Model - INFO - ---- EPOCH 309 EVALUATION ----
2019-12-19 02:24:31,651 - Model - INFO - Eval mean loss: 0.791614
2019-12-19 02:24:31,651 - Model - INFO - Eval accuracy: 0.752213
2019-12-19 02:24:31,652 - Model - INFO - **** Epoch 310 (310/1024) ****
2019-12-19 02:24:31,652 - Model - INFO - Learning rate:0.000700
2019-12-19 02:24:48,994 - Model - INFO - Training mean loss: 0.368758
2019-12-19 02:24:48,994 - Model - INFO - Training accuracy: 0.877825
2019-12-19 02:24:48,995 - Model - INFO - ---- EPOCH 310 EVALUATION ----
2019-12-19 02:24:57,542 - Model - INFO - Eval mean loss: 0.811949
2019-12-19 02:24:57,543 - Model - INFO - Eval accuracy: 0.753309
2019-12-19 02:24:57,543 - Model - INFO - **** Epoch 311 (311/1024) ****
2019-12-19 02:24:57,543 - Model - INFO - Learning rate:0.000700
2019-12-19 02:25:15,434 - Model - INFO - Training mean loss: 0.394649
2019-12-19 02:25:15,434 - Model - INFO - Training accuracy: 0.870740
2019-12-19 02:25:15,434 - Model - INFO - Save model...
2019-12-19 02:25:15,434 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:25:15,468 - Model - INFO - Saving model....
2019-12-19 02:25:15,470 - Model - INFO - ---- EPOCH 311 EVALUATION ----
2019-12-19 02:25:23,933 - Model - INFO - Eval mean loss: 0.581722
2019-12-19 02:25:23,933 - Model - INFO - Eval accuracy: 0.791750
2019-12-19 02:25:23,934 - Model - INFO - **** Epoch 312 (312/1024) ****
2019-12-19 02:25:23,934 - Model - INFO - Learning rate:0.000700
2019-12-19 02:25:41,721 - Model - INFO - Training mean loss: 0.384148
2019-12-19 02:25:41,721 - Model - INFO - Training accuracy: 0.871879
2019-12-19 02:25:41,723 - Model - INFO - ---- EPOCH 312 EVALUATION ----
2019-12-19 02:25:50,202 - Model - INFO - Eval mean loss: 0.797966
2019-12-19 02:25:50,202 - Model - INFO - Eval accuracy: 0.752416
2019-12-19 02:25:50,202 - Model - INFO - **** Epoch 313 (313/1024) ****
2019-12-19 02:25:50,202 - Model - INFO - Learning rate:0.000700
2019-12-19 02:26:07,905 - Model - INFO - Training mean loss: 0.384256
2019-12-19 02:26:07,906 - Model - INFO - Training accuracy: 0.876361
2019-12-19 02:26:07,907 - Model - INFO - ---- EPOCH 313 EVALUATION ----
2019-12-19 02:26:16,369 - Model - INFO - Eval mean loss: 0.910164
2019-12-19 02:26:16,369 - Model - INFO - Eval accuracy: 0.740913
2019-12-19 02:26:16,369 - Model - INFO - **** Epoch 314 (314/1024) ****
2019-12-19 02:26:16,369 - Model - INFO - Learning rate:0.000700
2019-12-19 02:26:34,462 - Model - INFO - Training mean loss: 0.382449
2019-12-19 02:26:34,462 - Model - INFO - Training accuracy: 0.876103
2019-12-19 02:26:34,463 - Model - INFO - ---- EPOCH 314 EVALUATION ----
2019-12-19 02:26:42,916 - Model - INFO - Eval mean loss: 0.710400
2019-12-19 02:26:42,916 - Model - INFO - Eval accuracy: 0.766340
2019-12-19 02:26:42,916 - Model - INFO - **** Epoch 315 (315/1024) ****
2019-12-19 02:26:42,916 - Model - INFO - Learning rate:0.000700
2019-12-19 02:27:00,998 - Model - INFO - Training mean loss: 0.397867
2019-12-19 02:27:00,998 - Model - INFO - Training accuracy: 0.875377
2019-12-19 02:27:01,000 - Model - INFO - ---- EPOCH 315 EVALUATION ----
2019-12-19 02:27:09,344 - Model - INFO - Eval mean loss: 0.725428
2019-12-19 02:27:09,344 - Model - INFO - Eval accuracy: 0.747655
2019-12-19 02:27:09,344 - Model - INFO - **** Epoch 316 (316/1024) ****
2019-12-19 02:27:09,345 - Model - INFO - Learning rate:0.000700
2019-12-19 02:27:27,633 - Model - INFO - Training mean loss: 0.437954
2019-12-19 02:27:27,634 - Model - INFO - Training accuracy: 0.865932
2019-12-19 02:27:27,637 - Model - INFO - ---- EPOCH 316 EVALUATION ----
2019-12-19 02:27:36,275 - Model - INFO - Eval mean loss: 0.699363
2019-12-19 02:27:36,276 - Model - INFO - Eval accuracy: 0.767251
2019-12-19 02:27:36,276 - Model - INFO - **** Epoch 317 (317/1024) ****
2019-12-19 02:27:36,276 - Model - INFO - Learning rate:0.000700
2019-12-19 02:27:54,322 - Model - INFO - Training mean loss: 0.412982
2019-12-19 02:27:54,322 - Model - INFO - Training accuracy: 0.862885
2019-12-19 02:27:54,324 - Model - INFO - ---- EPOCH 317 EVALUATION ----
2019-12-19 02:28:02,807 - Model - INFO - Eval mean loss: 0.652342
2019-12-19 02:28:02,808 - Model - INFO - Eval accuracy: 0.777534
2019-12-19 02:28:02,808 - Model - INFO - **** Epoch 318 (318/1024) ****
2019-12-19 02:28:02,808 - Model - INFO - Learning rate:0.000700
2019-12-19 02:28:23,039 - Model - INFO - Training mean loss: 0.390515
2019-12-19 02:28:23,039 - Model - INFO - Training accuracy: 0.873503
2019-12-19 02:28:23,041 - Model - INFO - ---- EPOCH 318 EVALUATION ----
2019-12-19 02:28:31,616 - Model - INFO - Eval mean loss: 0.761005
2019-12-19 02:28:31,616 - Model - INFO - Eval accuracy: 0.751639
2019-12-19 02:28:31,616 - Model - INFO - **** Epoch 319 (319/1024) ****
2019-12-19 02:28:31,616 - Model - INFO - Learning rate:0.000700
2019-12-19 02:28:51,185 - Model - INFO - Training mean loss: 0.378110
2019-12-19 02:28:51,185 - Model - INFO - Training accuracy: 0.875346
2019-12-19 02:28:51,187 - Model - INFO - ---- EPOCH 319 EVALUATION ----
2019-12-19 02:28:59,642 - Model - INFO - Eval mean loss: 1.024840
2019-12-19 02:28:59,642 - Model - INFO - Eval accuracy: 0.743963
2019-12-19 02:28:59,642 - Model - INFO - **** Epoch 320 (320/1024) ****
2019-12-19 02:28:59,642 - Model - INFO - Learning rate:0.000700
2019-12-19 02:29:17,827 - Model - INFO - Training mean loss: 0.393679
2019-12-19 02:29:17,827 - Model - INFO - Training accuracy: 0.878767
2019-12-19 02:29:17,829 - Model - INFO - ---- EPOCH 320 EVALUATION ----
2019-12-19 02:29:26,206 - Model - INFO - Eval mean loss: 0.761525
2019-12-19 02:29:26,206 - Model - INFO - Eval accuracy: 0.753710
2019-12-19 02:29:26,206 - Model - INFO - **** Epoch 321 (321/1024) ****
2019-12-19 02:29:26,206 - Model - INFO - Learning rate:0.000700
2019-12-19 02:29:44,529 - Model - INFO - Training mean loss: 0.392781
2019-12-19 02:29:44,529 - Model - INFO - Training accuracy: 0.876643
2019-12-19 02:29:44,530 - Model - INFO - Save model...
2019-12-19 02:29:44,530 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:29:44,556 - Model - INFO - Saving model....
2019-12-19 02:29:44,558 - Model - INFO - ---- EPOCH 321 EVALUATION ----
2019-12-19 02:29:53,001 - Model - INFO - Eval mean loss: 0.615451
2019-12-19 02:29:53,001 - Model - INFO - Eval accuracy: 0.782594
2019-12-19 02:29:53,001 - Model - INFO - **** Epoch 322 (322/1024) ****
2019-12-19 02:29:53,001 - Model - INFO - Learning rate:0.000700
2019-12-19 02:30:10,933 - Model - INFO - Training mean loss: 0.371233
2019-12-19 02:30:10,934 - Model - INFO - Training accuracy: 0.880631
2019-12-19 02:30:10,935 - Model - INFO - ---- EPOCH 322 EVALUATION ----
2019-12-19 02:30:19,352 - Model - INFO - Eval mean loss: 0.697236
2019-12-19 02:30:19,352 - Model - INFO - Eval accuracy: 0.768163
2019-12-19 02:30:19,352 - Model - INFO - **** Epoch 323 (323/1024) ****
2019-12-19 02:30:19,352 - Model - INFO - Learning rate:0.000700
2019-12-19 02:30:37,270 - Model - INFO - Training mean loss: 0.390725
2019-12-19 02:30:37,270 - Model - INFO - Training accuracy: 0.879616
2019-12-19 02:30:37,272 - Model - INFO - ---- EPOCH 323 EVALUATION ----
2019-12-19 02:30:45,736 - Model - INFO - Eval mean loss: 0.714742
2019-12-19 02:30:45,737 - Model - INFO - Eval accuracy: 0.776072
2019-12-19 02:30:45,737 - Model - INFO - **** Epoch 324 (324/1024) ****
2019-12-19 02:30:45,737 - Model - INFO - Learning rate:0.000700
2019-12-19 02:31:04,996 - Model - INFO - Training mean loss: 0.398849
2019-12-19 02:31:04,997 - Model - INFO - Training accuracy: 0.870833
2019-12-19 02:31:04,999 - Model - INFO - ---- EPOCH 324 EVALUATION ----
2019-12-19 02:31:13,647 - Model - INFO - Eval mean loss: 0.703105
2019-12-19 02:31:13,647 - Model - INFO - Eval accuracy: 0.765647
2019-12-19 02:31:13,647 - Model - INFO - **** Epoch 325 (325/1024) ****
2019-12-19 02:31:13,647 - Model - INFO - Learning rate:0.000700
2019-12-19 02:31:31,520 - Model - INFO - Training mean loss: 0.385990
2019-12-19 02:31:31,520 - Model - INFO - Training accuracy: 0.875764
2019-12-19 02:31:31,523 - Model - INFO - ---- EPOCH 325 EVALUATION ----
2019-12-19 02:31:39,924 - Model - INFO - Eval mean loss: 0.782088
2019-12-19 02:31:39,924 - Model - INFO - Eval accuracy: 0.741489
2019-12-19 02:31:39,924 - Model - INFO - **** Epoch 326 (326/1024) ****
2019-12-19 02:31:39,924 - Model - INFO - Learning rate:0.000700
2019-12-19 02:31:57,842 - Model - INFO - Training mean loss: 0.380336
2019-12-19 02:31:57,842 - Model - INFO - Training accuracy: 0.875270
2019-12-19 02:31:57,843 - Model - INFO - ---- EPOCH 326 EVALUATION ----
2019-12-19 02:32:06,223 - Model - INFO - Eval mean loss: 0.732082
2019-12-19 02:32:06,224 - Model - INFO - Eval accuracy: 0.767436
2019-12-19 02:32:06,224 - Model - INFO - **** Epoch 327 (327/1024) ****
2019-12-19 02:32:06,224 - Model - INFO - Learning rate:0.000700
2019-12-19 02:32:24,468 - Model - INFO - Training mean loss: 0.384536
2019-12-19 02:32:24,468 - Model - INFO - Training accuracy: 0.875706
2019-12-19 02:32:24,469 - Model - INFO - ---- EPOCH 327 EVALUATION ----
2019-12-19 02:32:32,989 - Model - INFO - Eval mean loss: 0.899435
2019-12-19 02:32:32,989 - Model - INFO - Eval accuracy: 0.738658
2019-12-19 02:32:32,989 - Model - INFO - **** Epoch 328 (328/1024) ****
2019-12-19 02:32:32,990 - Model - INFO - Learning rate:0.000700
2019-12-19 02:32:50,743 - Model - INFO - Training mean loss: 0.371268
2019-12-19 02:32:50,743 - Model - INFO - Training accuracy: 0.880930
2019-12-19 02:32:50,745 - Model - INFO - ---- EPOCH 328 EVALUATION ----
2019-12-19 02:32:59,247 - Model - INFO - Eval mean loss: 0.872828
2019-12-19 02:32:59,247 - Model - INFO - Eval accuracy: 0.750207
2019-12-19 02:32:59,247 - Model - INFO - **** Epoch 329 (329/1024) ****
2019-12-19 02:32:59,247 - Model - INFO - Learning rate:0.000700
2019-12-19 02:33:17,923 - Model - INFO - Training mean loss: 0.353064
2019-12-19 02:33:17,923 - Model - INFO - Training accuracy: 0.885336
2019-12-19 02:33:17,924 - Model - INFO - ---- EPOCH 329 EVALUATION ----
2019-12-19 02:33:26,425 - Model - INFO - Eval mean loss: 0.727848
2019-12-19 02:33:26,426 - Model - INFO - Eval accuracy: 0.758570
2019-12-19 02:33:26,426 - Model - INFO - **** Epoch 330 (330/1024) ****
2019-12-19 02:33:26,426 - Model - INFO - Learning rate:0.000700
2019-12-19 02:33:44,297 - Model - INFO - Training mean loss: 0.369552
2019-12-19 02:33:44,297 - Model - INFO - Training accuracy: 0.879064
2019-12-19 02:33:44,299 - Model - INFO - ---- EPOCH 330 EVALUATION ----
2019-12-19 02:33:52,829 - Model - INFO - Eval mean loss: 0.788493
2019-12-19 02:33:52,830 - Model - INFO - Eval accuracy: 0.765918
2019-12-19 02:33:52,830 - Model - INFO - **** Epoch 331 (331/1024) ****
2019-12-19 02:33:52,830 - Model - INFO - Learning rate:0.000700
2019-12-19 02:34:10,703 - Model - INFO - Training mean loss: 0.347039
2019-12-19 02:34:10,704 - Model - INFO - Training accuracy: 0.889094
2019-12-19 02:34:10,704 - Model - INFO - Save model...
2019-12-19 02:34:10,704 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:34:10,728 - Model - INFO - Saving model....
2019-12-19 02:34:10,730 - Model - INFO - ---- EPOCH 331 EVALUATION ----
2019-12-19 02:34:19,185 - Model - INFO - Eval mean loss: 0.687352
2019-12-19 02:34:19,186 - Model - INFO - Eval accuracy: 0.759296
2019-12-19 02:34:19,186 - Model - INFO - **** Epoch 332 (332/1024) ****
2019-12-19 02:34:19,186 - Model - INFO - Learning rate:0.000700
2019-12-19 02:34:37,205 - Model - INFO - Training mean loss: 0.382408
2019-12-19 02:34:37,205 - Model - INFO - Training accuracy: 0.879184
2019-12-19 02:34:37,206 - Model - INFO - ---- EPOCH 332 EVALUATION ----
2019-12-19 02:34:45,614 - Model - INFO - Eval mean loss: 0.965865
2019-12-19 02:34:45,614 - Model - INFO - Eval accuracy: 0.728060
2019-12-19 02:34:45,615 - Model - INFO - **** Epoch 333 (333/1024) ****
2019-12-19 02:34:45,615 - Model - INFO - Learning rate:0.000700
2019-12-19 02:35:05,057 - Model - INFO - Training mean loss: 0.393074
2019-12-19 02:35:05,057 - Model - INFO - Training accuracy: 0.879536
2019-12-19 02:35:05,059 - Model - INFO - ---- EPOCH 333 EVALUATION ----
2019-12-19 02:35:13,420 - Model - INFO - Eval mean loss: 0.898650
2019-12-19 02:35:13,421 - Model - INFO - Eval accuracy: 0.738602
2019-12-19 02:35:13,421 - Model - INFO - **** Epoch 334 (334/1024) ****
2019-12-19 02:35:13,421 - Model - INFO - Learning rate:0.000700
2019-12-19 02:35:32,620 - Model - INFO - Training mean loss: 0.374152
2019-12-19 02:35:32,620 - Model - INFO - Training accuracy: 0.875051
2019-12-19 02:35:32,622 - Model - INFO - ---- EPOCH 334 EVALUATION ----
2019-12-19 02:35:41,094 - Model - INFO - Eval mean loss: 0.635599
2019-12-19 02:35:41,094 - Model - INFO - Eval accuracy: 0.792935
2019-12-19 02:35:41,094 - Model - INFO - **** Epoch 335 (335/1024) ****
2019-12-19 02:35:41,094 - Model - INFO - Learning rate:0.000700
2019-12-19 02:35:58,380 - Model - INFO - Training mean loss: 0.387395
2019-12-19 02:35:58,380 - Model - INFO - Training accuracy: 0.878040
2019-12-19 02:35:58,381 - Model - INFO - ---- EPOCH 335 EVALUATION ----
2019-12-19 02:36:06,838 - Model - INFO - Eval mean loss: 0.874054
2019-12-19 02:36:06,838 - Model - INFO - Eval accuracy: 0.762550
2019-12-19 02:36:06,838 - Model - INFO - **** Epoch 336 (336/1024) ****
2019-12-19 02:36:06,839 - Model - INFO - Learning rate:0.000700
2019-12-19 02:36:25,203 - Model - INFO - Training mean loss: 0.422000
2019-12-19 02:36:25,204 - Model - INFO - Training accuracy: 0.868462
2019-12-19 02:36:25,205 - Model - INFO - ---- EPOCH 336 EVALUATION ----
2019-12-19 02:36:33,657 - Model - INFO - Eval mean loss: 0.766863
2019-12-19 02:36:33,658 - Model - INFO - Eval accuracy: 0.750751
2019-12-19 02:36:33,658 - Model - INFO - **** Epoch 337 (337/1024) ****
2019-12-19 02:36:33,658 - Model - INFO - Learning rate:0.000700
2019-12-19 02:36:51,466 - Model - INFO - Training mean loss: 0.375905
2019-12-19 02:36:51,466 - Model - INFO - Training accuracy: 0.884989
2019-12-19 02:36:51,467 - Model - INFO - ---- EPOCH 337 EVALUATION ----
2019-12-19 02:36:59,996 - Model - INFO - Eval mean loss: 0.741414
2019-12-19 02:36:59,996 - Model - INFO - Eval accuracy: 0.766457
2019-12-19 02:36:59,997 - Model - INFO - **** Epoch 338 (338/1024) ****
2019-12-19 02:36:59,997 - Model - INFO - Learning rate:0.000700
2019-12-19 02:37:18,053 - Model - INFO - Training mean loss: 0.364880
2019-12-19 02:37:18,053 - Model - INFO - Training accuracy: 0.886893
2019-12-19 02:37:18,055 - Model - INFO - ---- EPOCH 338 EVALUATION ----
2019-12-19 02:37:26,471 - Model - INFO - Eval mean loss: 0.730300
2019-12-19 02:37:26,471 - Model - INFO - Eval accuracy: 0.768631
2019-12-19 02:37:26,471 - Model - INFO - **** Epoch 339 (339/1024) ****
2019-12-19 02:37:26,472 - Model - INFO - Learning rate:0.000700
2019-12-19 02:37:44,165 - Model - INFO - Training mean loss: 0.391173
2019-12-19 02:37:44,165 - Model - INFO - Training accuracy: 0.880090
2019-12-19 02:37:44,166 - Model - INFO - ---- EPOCH 339 EVALUATION ----
2019-12-19 02:37:52,499 - Model - INFO - Eval mean loss: 0.813878
2019-12-19 02:37:52,499 - Model - INFO - Eval accuracy: 0.748394
2019-12-19 02:37:52,499 - Model - INFO - **** Epoch 340 (340/1024) ****
2019-12-19 02:37:52,499 - Model - INFO - Learning rate:0.000700
2019-12-19 02:38:12,727 - Model - INFO - Training mean loss: 0.386499
2019-12-19 02:38:12,728 - Model - INFO - Training accuracy: 0.875501
2019-12-19 02:38:12,729 - Model - INFO - ---- EPOCH 340 EVALUATION ----
2019-12-19 02:38:21,292 - Model - INFO - Eval mean loss: 0.892225
2019-12-19 02:38:21,293 - Model - INFO - Eval accuracy: 0.767956
2019-12-19 02:38:21,293 - Model - INFO - **** Epoch 341 (341/1024) ****
2019-12-19 02:38:21,293 - Model - INFO - Learning rate:0.000700
2019-12-19 02:38:39,391 - Model - INFO - Training mean loss: 0.347891
2019-12-19 02:38:39,391 - Model - INFO - Training accuracy: 0.888999
2019-12-19 02:38:39,391 - Model - INFO - Save model...
2019-12-19 02:38:39,391 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:38:39,438 - Model - INFO - Saving model....
2019-12-19 02:38:39,440 - Model - INFO - ---- EPOCH 341 EVALUATION ----
2019-12-19 02:38:48,107 - Model - INFO - Eval mean loss: 0.795389
2019-12-19 02:38:48,108 - Model - INFO - Eval accuracy: 0.760876
2019-12-19 02:38:48,108 - Model - INFO - **** Epoch 342 (342/1024) ****
2019-12-19 02:38:48,108 - Model - INFO - Learning rate:0.000700
2019-12-19 02:39:07,041 - Model - INFO - Training mean loss: 0.348846
2019-12-19 02:39:07,041 - Model - INFO - Training accuracy: 0.883544
2019-12-19 02:39:07,042 - Model - INFO - ---- EPOCH 342 EVALUATION ----
2019-12-19 02:39:15,512 - Model - INFO - Eval mean loss: 0.813172
2019-12-19 02:39:15,512 - Model - INFO - Eval accuracy: 0.775831
2019-12-19 02:39:15,512 - Model - INFO - **** Epoch 343 (343/1024) ****
2019-12-19 02:39:15,513 - Model - INFO - Learning rate:0.000700
2019-12-19 02:39:33,407 - Model - INFO - Training mean loss: 0.345657
2019-12-19 02:39:33,408 - Model - INFO - Training accuracy: 0.886359
2019-12-19 02:39:33,409 - Model - INFO - ---- EPOCH 343 EVALUATION ----
2019-12-19 02:39:41,996 - Model - INFO - Eval mean loss: 0.798400
2019-12-19 02:39:41,996 - Model - INFO - Eval accuracy: 0.757143
2019-12-19 02:39:41,996 - Model - INFO - **** Epoch 344 (344/1024) ****
2019-12-19 02:39:41,996 - Model - INFO - Learning rate:0.000700
2019-12-19 02:40:00,321 - Model - INFO - Training mean loss: 0.366308
2019-12-19 02:40:00,322 - Model - INFO - Training accuracy: 0.882765
2019-12-19 02:40:00,323 - Model - INFO - ---- EPOCH 344 EVALUATION ----
2019-12-19 02:40:08,750 - Model - INFO - Eval mean loss: 0.724408
2019-12-19 02:40:08,750 - Model - INFO - Eval accuracy: 0.772807
2019-12-19 02:40:08,750 - Model - INFO - **** Epoch 345 (345/1024) ****
2019-12-19 02:40:08,750 - Model - INFO - Learning rate:0.000700
2019-12-19 02:40:27,315 - Model - INFO - Training mean loss: 0.330630
2019-12-19 02:40:27,315 - Model - INFO - Training accuracy: 0.891221
2019-12-19 02:40:27,317 - Model - INFO - ---- EPOCH 345 EVALUATION ----
2019-12-19 02:40:35,715 - Model - INFO - Eval mean loss: 0.749161
2019-12-19 02:40:35,716 - Model - INFO - Eval accuracy: 0.759276
2019-12-19 02:40:35,716 - Model - INFO - **** Epoch 346 (346/1024) ****
2019-12-19 02:40:35,716 - Model - INFO - Learning rate:0.000700
2019-12-19 02:40:54,165 - Model - INFO - Training mean loss: 0.371445
2019-12-19 02:40:54,165 - Model - INFO - Training accuracy: 0.876096
2019-12-19 02:40:54,166 - Model - INFO - ---- EPOCH 346 EVALUATION ----
2019-12-19 02:41:02,659 - Model - INFO - Eval mean loss: 0.947575
2019-12-19 02:41:02,660 - Model - INFO - Eval accuracy: 0.742306
2019-12-19 02:41:02,660 - Model - INFO - **** Epoch 347 (347/1024) ****
2019-12-19 02:41:02,660 - Model - INFO - Learning rate:0.000700
2019-12-19 02:41:20,365 - Model - INFO - Training mean loss: 0.349540
2019-12-19 02:41:20,365 - Model - INFO - Training accuracy: 0.883666
2019-12-19 02:41:20,367 - Model - INFO - ---- EPOCH 347 EVALUATION ----
2019-12-19 02:41:28,959 - Model - INFO - Eval mean loss: 0.687927
2019-12-19 02:41:28,959 - Model - INFO - Eval accuracy: 0.781152
2019-12-19 02:41:28,959 - Model - INFO - **** Epoch 348 (348/1024) ****
2019-12-19 02:41:28,959 - Model - INFO - Learning rate:0.000700
2019-12-19 02:41:46,620 - Model - INFO - Training mean loss: 0.384247
2019-12-19 02:41:46,620 - Model - INFO - Training accuracy: 0.873305
2019-12-19 02:41:46,621 - Model - INFO - ---- EPOCH 348 EVALUATION ----
2019-12-19 02:41:54,966 - Model - INFO - Eval mean loss: 0.752337
2019-12-19 02:41:54,966 - Model - INFO - Eval accuracy: 0.769819
2019-12-19 02:41:54,966 - Model - INFO - **** Epoch 349 (349/1024) ****
2019-12-19 02:41:54,966 - Model - INFO - Learning rate:0.000700
2019-12-19 02:42:13,397 - Model - INFO - Training mean loss: 0.380016
2019-12-19 02:42:13,397 - Model - INFO - Training accuracy: 0.874055
2019-12-19 02:42:13,399 - Model - INFO - ---- EPOCH 349 EVALUATION ----
2019-12-19 02:42:21,751 - Model - INFO - Eval mean loss: 0.791482
2019-12-19 02:42:21,751 - Model - INFO - Eval accuracy: 0.774528
2019-12-19 02:42:21,751 - Model - INFO - **** Epoch 350 (350/1024) ****
2019-12-19 02:42:21,751 - Model - INFO - Learning rate:0.000700
2019-12-19 02:42:39,201 - Model - INFO - Training mean loss: 0.366538
2019-12-19 02:42:39,201 - Model - INFO - Training accuracy: 0.877552
2019-12-19 02:42:39,203 - Model - INFO - ---- EPOCH 350 EVALUATION ----
2019-12-19 02:42:47,547 - Model - INFO - Eval mean loss: 0.964974
2019-12-19 02:42:47,547 - Model - INFO - Eval accuracy: 0.746841
2019-12-19 02:42:47,547 - Model - INFO - **** Epoch 351 (351/1024) ****
2019-12-19 02:42:47,547 - Model - INFO - Learning rate:0.000700
2019-12-19 02:43:05,141 - Model - INFO - Training mean loss: 0.373711
2019-12-19 02:43:05,141 - Model - INFO - Training accuracy: 0.880440
2019-12-19 02:43:05,141 - Model - INFO - Save model...
2019-12-19 02:43:05,141 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:43:05,165 - Model - INFO - Saving model....
2019-12-19 02:43:05,166 - Model - INFO - ---- EPOCH 351 EVALUATION ----
2019-12-19 02:43:13,499 - Model - INFO - Eval mean loss: 0.744019
2019-12-19 02:43:13,499 - Model - INFO - Eval accuracy: 0.765325
2019-12-19 02:43:13,499 - Model - INFO - **** Epoch 352 (352/1024) ****
2019-12-19 02:43:13,499 - Model - INFO - Learning rate:0.000700
2019-12-19 02:43:31,350 - Model - INFO - Training mean loss: 0.380977
2019-12-19 02:43:31,350 - Model - INFO - Training accuracy: 0.877052
2019-12-19 02:43:31,352 - Model - INFO - ---- EPOCH 352 EVALUATION ----
2019-12-19 02:43:39,837 - Model - INFO - Eval mean loss: 0.662065
2019-12-19 02:43:39,837 - Model - INFO - Eval accuracy: 0.778612
2019-12-19 02:43:39,837 - Model - INFO - **** Epoch 353 (353/1024) ****
2019-12-19 02:43:39,837 - Model - INFO - Learning rate:0.000700
2019-12-19 02:43:58,035 - Model - INFO - Training mean loss: 0.401156
2019-12-19 02:43:58,036 - Model - INFO - Training accuracy: 0.872892
2019-12-19 02:43:58,037 - Model - INFO - ---- EPOCH 353 EVALUATION ----
2019-12-19 02:44:06,580 - Model - INFO - Eval mean loss: 0.778149
2019-12-19 02:44:06,580 - Model - INFO - Eval accuracy: 0.761237
2019-12-19 02:44:06,580 - Model - INFO - **** Epoch 354 (354/1024) ****
2019-12-19 02:44:06,580 - Model - INFO - Learning rate:0.000700
2019-12-19 02:44:24,820 - Model - INFO - Training mean loss: 0.406323
2019-12-19 02:44:24,820 - Model - INFO - Training accuracy: 0.873277
2019-12-19 02:44:24,822 - Model - INFO - ---- EPOCH 354 EVALUATION ----
2019-12-19 02:44:33,293 - Model - INFO - Eval mean loss: 0.735638
2019-12-19 02:44:33,293 - Model - INFO - Eval accuracy: 0.751746
2019-12-19 02:44:33,294 - Model - INFO - **** Epoch 355 (355/1024) ****
2019-12-19 02:44:33,294 - Model - INFO - Learning rate:0.000700
2019-12-19 02:44:51,212 - Model - INFO - Training mean loss: 0.385258
2019-12-19 02:44:51,212 - Model - INFO - Training accuracy: 0.875694
2019-12-19 02:44:51,214 - Model - INFO - ---- EPOCH 355 EVALUATION ----
2019-12-19 02:44:59,534 - Model - INFO - Eval mean loss: 0.755365
2019-12-19 02:44:59,535 - Model - INFO - Eval accuracy: 0.777354
2019-12-19 02:44:59,535 - Model - INFO - **** Epoch 356 (356/1024) ****
2019-12-19 02:44:59,535 - Model - INFO - Learning rate:0.000700
2019-12-19 02:45:17,150 - Model - INFO - Training mean loss: 0.382902
2019-12-19 02:45:17,151 - Model - INFO - Training accuracy: 0.879918
2019-12-19 02:45:17,152 - Model - INFO - ---- EPOCH 356 EVALUATION ----
2019-12-19 02:45:25,554 - Model - INFO - Eval mean loss: 0.775882
2019-12-19 02:45:25,554 - Model - INFO - Eval accuracy: 0.751801
2019-12-19 02:45:25,554 - Model - INFO - **** Epoch 357 (357/1024) ****
2019-12-19 02:45:25,554 - Model - INFO - Learning rate:0.000700
2019-12-19 02:45:42,699 - Model - INFO - Training mean loss: 0.348862
2019-12-19 02:45:42,700 - Model - INFO - Training accuracy: 0.884802
2019-12-19 02:45:42,702 - Model - INFO - ---- EPOCH 357 EVALUATION ----
2019-12-19 02:45:51,214 - Model - INFO - Eval mean loss: 0.822000
2019-12-19 02:45:51,214 - Model - INFO - Eval accuracy: 0.768946
2019-12-19 02:45:51,214 - Model - INFO - **** Epoch 358 (358/1024) ****
2019-12-19 02:45:51,214 - Model - INFO - Learning rate:0.000700
2019-12-19 02:46:08,692 - Model - INFO - Training mean loss: 0.376576
2019-12-19 02:46:08,692 - Model - INFO - Training accuracy: 0.879204
2019-12-19 02:46:08,694 - Model - INFO - ---- EPOCH 358 EVALUATION ----
2019-12-19 02:46:17,328 - Model - INFO - Eval mean loss: 0.840406
2019-12-19 02:46:17,328 - Model - INFO - Eval accuracy: 0.763535
2019-12-19 02:46:17,328 - Model - INFO - **** Epoch 359 (359/1024) ****
2019-12-19 02:46:17,328 - Model - INFO - Learning rate:0.000700
2019-12-19 02:46:36,529 - Model - INFO - Training mean loss: 0.361689
2019-12-19 02:46:36,529 - Model - INFO - Training accuracy: 0.884093
2019-12-19 02:46:36,531 - Model - INFO - ---- EPOCH 359 EVALUATION ----
2019-12-19 02:46:44,913 - Model - INFO - Eval mean loss: 0.593801
2019-12-19 02:46:44,914 - Model - INFO - Eval accuracy: 0.794201
2019-12-19 02:46:44,914 - Model - INFO - **** Epoch 360 (360/1024) ****
2019-12-19 02:46:44,914 - Model - INFO - Learning rate:0.000700
2019-12-19 02:47:03,925 - Model - INFO - Training mean loss: 0.336717
2019-12-19 02:47:03,925 - Model - INFO - Training accuracy: 0.886101
2019-12-19 02:47:03,927 - Model - INFO - ---- EPOCH 360 EVALUATION ----
2019-12-19 02:47:12,350 - Model - INFO - Eval mean loss: 0.941876
2019-12-19 02:47:12,351 - Model - INFO - Eval accuracy: 0.760313
2019-12-19 02:47:12,351 - Model - INFO - **** Epoch 361 (361/1024) ****
2019-12-19 02:47:12,351 - Model - INFO - Learning rate:0.000700
2019-12-19 02:47:29,819 - Model - INFO - Training mean loss: 0.391500
2019-12-19 02:47:29,819 - Model - INFO - Training accuracy: 0.878954
2019-12-19 02:47:29,819 - Model - INFO - Save model...
2019-12-19 02:47:29,819 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:47:29,843 - Model - INFO - Saving model....
2019-12-19 02:47:29,845 - Model - INFO - ---- EPOCH 361 EVALUATION ----
2019-12-19 02:47:38,221 - Model - INFO - Eval mean loss: 0.725496
2019-12-19 02:47:38,221 - Model - INFO - Eval accuracy: 0.778141
2019-12-19 02:47:38,222 - Model - INFO - **** Epoch 362 (362/1024) ****
2019-12-19 02:47:38,222 - Model - INFO - Learning rate:0.000700
2019-12-19 02:47:56,061 - Model - INFO - Training mean loss: 0.391462
2019-12-19 02:47:56,061 - Model - INFO - Training accuracy: 0.872369
2019-12-19 02:47:56,063 - Model - INFO - ---- EPOCH 362 EVALUATION ----
2019-12-19 02:48:04,471 - Model - INFO - Eval mean loss: 0.901033
2019-12-19 02:48:04,471 - Model - INFO - Eval accuracy: 0.746824
2019-12-19 02:48:04,471 - Model - INFO - **** Epoch 363 (363/1024) ****
2019-12-19 02:48:04,471 - Model - INFO - Learning rate:0.000700
2019-12-19 02:48:22,969 - Model - INFO - Training mean loss: 0.361892
2019-12-19 02:48:22,970 - Model - INFO - Training accuracy: 0.879645
2019-12-19 02:48:22,971 - Model - INFO - ---- EPOCH 363 EVALUATION ----
2019-12-19 02:48:31,432 - Model - INFO - Eval mean loss: 0.674117
2019-12-19 02:48:31,432 - Model - INFO - Eval accuracy: 0.784568
2019-12-19 02:48:31,433 - Model - INFO - **** Epoch 364 (364/1024) ****
2019-12-19 02:48:31,433 - Model - INFO - Learning rate:0.000700
2019-12-19 02:48:49,758 - Model - INFO - Training mean loss: 0.343529
2019-12-19 02:48:49,759 - Model - INFO - Training accuracy: 0.890857
2019-12-19 02:48:49,760 - Model - INFO - ---- EPOCH 364 EVALUATION ----
2019-12-19 02:48:58,447 - Model - INFO - Eval mean loss: 0.711356
2019-12-19 02:48:58,447 - Model - INFO - Eval accuracy: 0.763565
2019-12-19 02:48:58,447 - Model - INFO - **** Epoch 365 (365/1024) ****
2019-12-19 02:48:58,448 - Model - INFO - Learning rate:0.000700
2019-12-19 02:49:15,839 - Model - INFO - Training mean loss: 0.366067
2019-12-19 02:49:15,840 - Model - INFO - Training accuracy: 0.880827
2019-12-19 02:49:15,841 - Model - INFO - ---- EPOCH 365 EVALUATION ----
2019-12-19 02:49:24,353 - Model - INFO - Eval mean loss: 0.743952
2019-12-19 02:49:24,353 - Model - INFO - Eval accuracy: 0.768812
2019-12-19 02:49:24,353 - Model - INFO - **** Epoch 366 (366/1024) ****
2019-12-19 02:49:24,354 - Model - INFO - Learning rate:0.000700
2019-12-19 02:49:41,852 - Model - INFO - Training mean loss: 0.368399
2019-12-19 02:49:41,852 - Model - INFO - Training accuracy: 0.881561
2019-12-19 02:49:41,853 - Model - INFO - ---- EPOCH 366 EVALUATION ----
2019-12-19 02:49:50,333 - Model - INFO - Eval mean loss: 0.937810
2019-12-19 02:49:50,334 - Model - INFO - Eval accuracy: 0.727142
2019-12-19 02:49:50,334 - Model - INFO - **** Epoch 367 (367/1024) ****
2019-12-19 02:49:50,334 - Model - INFO - Learning rate:0.000700
2019-12-19 02:50:07,765 - Model - INFO - Training mean loss: 0.392518
2019-12-19 02:50:07,765 - Model - INFO - Training accuracy: 0.880111
2019-12-19 02:50:07,767 - Model - INFO - ---- EPOCH 367 EVALUATION ----
2019-12-19 02:50:16,249 - Model - INFO - Eval mean loss: 0.641968
2019-12-19 02:50:16,249 - Model - INFO - Eval accuracy: 0.770766
2019-12-19 02:50:16,249 - Model - INFO - **** Epoch 368 (368/1024) ****
2019-12-19 02:50:16,249 - Model - INFO - Learning rate:0.000700
2019-12-19 02:50:34,226 - Model - INFO - Training mean loss: 0.361382
2019-12-19 02:50:34,227 - Model - INFO - Training accuracy: 0.885211
2019-12-19 02:50:34,228 - Model - INFO - ---- EPOCH 368 EVALUATION ----
2019-12-19 02:50:42,734 - Model - INFO - Eval mean loss: 0.744479
2019-12-19 02:50:42,734 - Model - INFO - Eval accuracy: 0.770637
2019-12-19 02:50:42,734 - Model - INFO - **** Epoch 369 (369/1024) ****
2019-12-19 02:50:42,734 - Model - INFO - Learning rate:0.000700
2019-12-19 02:51:00,339 - Model - INFO - Training mean loss: 0.371237
2019-12-19 02:51:00,339 - Model - INFO - Training accuracy: 0.877514
2019-12-19 02:51:00,340 - Model - INFO - ---- EPOCH 369 EVALUATION ----
2019-12-19 02:51:08,684 - Model - INFO - Eval mean loss: 0.869884
2019-12-19 02:51:08,684 - Model - INFO - Eval accuracy: 0.732839
2019-12-19 02:51:08,684 - Model - INFO - **** Epoch 370 (370/1024) ****
2019-12-19 02:51:08,684 - Model - INFO - Learning rate:0.000700
2019-12-19 02:51:26,195 - Model - INFO - Training mean loss: 0.370418
2019-12-19 02:51:26,195 - Model - INFO - Training accuracy: 0.882211
2019-12-19 02:51:26,197 - Model - INFO - ---- EPOCH 370 EVALUATION ----
2019-12-19 02:51:34,797 - Model - INFO - Eval mean loss: 0.776278
2019-12-19 02:51:34,797 - Model - INFO - Eval accuracy: 0.769151
2019-12-19 02:51:34,797 - Model - INFO - **** Epoch 371 (371/1024) ****
2019-12-19 02:51:34,797 - Model - INFO - Learning rate:0.000700
2019-12-19 02:51:54,014 - Model - INFO - Training mean loss: 0.377885
2019-12-19 02:51:54,014 - Model - INFO - Training accuracy: 0.880144
2019-12-19 02:51:54,014 - Model - INFO - Save model...
2019-12-19 02:51:54,014 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:51:54,040 - Model - INFO - Saving model....
2019-12-19 02:51:54,041 - Model - INFO - ---- EPOCH 371 EVALUATION ----
2019-12-19 02:52:02,549 - Model - INFO - Eval mean loss: 0.770652
2019-12-19 02:52:02,549 - Model - INFO - Eval accuracy: 0.756143
2019-12-19 02:52:02,549 - Model - INFO - **** Epoch 372 (372/1024) ****
2019-12-19 02:52:02,549 - Model - INFO - Learning rate:0.000700
2019-12-19 02:52:20,934 - Model - INFO - Training mean loss: 0.362766
2019-12-19 02:52:20,934 - Model - INFO - Training accuracy: 0.883173
2019-12-19 02:52:20,936 - Model - INFO - ---- EPOCH 372 EVALUATION ----
2019-12-19 02:52:29,436 - Model - INFO - Eval mean loss: 0.903029
2019-12-19 02:52:29,437 - Model - INFO - Eval accuracy: 0.752553
2019-12-19 02:52:29,437 - Model - INFO - **** Epoch 373 (373/1024) ****
2019-12-19 02:52:29,437 - Model - INFO - Learning rate:0.000700
2019-12-19 02:52:48,249 - Model - INFO - Training mean loss: 0.390809
2019-12-19 02:52:48,250 - Model - INFO - Training accuracy: 0.874598
2019-12-19 02:52:48,251 - Model - INFO - ---- EPOCH 373 EVALUATION ----
2019-12-19 02:52:56,623 - Model - INFO - Eval mean loss: 0.598571
2019-12-19 02:52:56,623 - Model - INFO - Eval accuracy: 0.791404
2019-12-19 02:52:56,623 - Model - INFO - **** Epoch 374 (374/1024) ****
2019-12-19 02:52:56,623 - Model - INFO - Learning rate:0.000700
2019-12-19 02:53:15,668 - Model - INFO - Training mean loss: 0.361391
2019-12-19 02:53:15,668 - Model - INFO - Training accuracy: 0.884344
2019-12-19 02:53:15,670 - Model - INFO - ---- EPOCH 374 EVALUATION ----
2019-12-19 02:53:24,047 - Model - INFO - Eval mean loss: 0.720855
2019-12-19 02:53:24,047 - Model - INFO - Eval accuracy: 0.758014
2019-12-19 02:53:24,047 - Model - INFO - **** Epoch 375 (375/1024) ****
2019-12-19 02:53:24,047 - Model - INFO - Learning rate:0.000700
2019-12-19 02:53:42,931 - Model - INFO - Training mean loss: 0.371759
2019-12-19 02:53:42,931 - Model - INFO - Training accuracy: 0.874908
2019-12-19 02:53:42,934 - Model - INFO - ---- EPOCH 375 EVALUATION ----
2019-12-19 02:53:51,474 - Model - INFO - Eval mean loss: 0.679517
2019-12-19 02:53:51,474 - Model - INFO - Eval accuracy: 0.779519
2019-12-19 02:53:51,474 - Model - INFO - **** Epoch 376 (376/1024) ****
2019-12-19 02:53:51,475 - Model - INFO - Learning rate:0.000700
2019-12-19 02:54:10,899 - Model - INFO - Training mean loss: 0.355718
2019-12-19 02:54:10,899 - Model - INFO - Training accuracy: 0.888412
2019-12-19 02:54:10,901 - Model - INFO - ---- EPOCH 376 EVALUATION ----
2019-12-19 02:54:19,453 - Model - INFO - Eval mean loss: 0.723016
2019-12-19 02:54:19,454 - Model - INFO - Eval accuracy: 0.778007
2019-12-19 02:54:19,454 - Model - INFO - **** Epoch 377 (377/1024) ****
2019-12-19 02:54:19,454 - Model - INFO - Learning rate:0.000700
2019-12-19 02:54:38,415 - Model - INFO - Training mean loss: 0.361915
2019-12-19 02:54:38,415 - Model - INFO - Training accuracy: 0.880820
2019-12-19 02:54:38,418 - Model - INFO - ---- EPOCH 377 EVALUATION ----
2019-12-19 02:54:46,901 - Model - INFO - Eval mean loss: 0.786265
2019-12-19 02:54:46,901 - Model - INFO - Eval accuracy: 0.776340
2019-12-19 02:54:46,901 - Model - INFO - **** Epoch 378 (378/1024) ****
2019-12-19 02:54:46,901 - Model - INFO - Learning rate:0.000700
2019-12-19 02:55:06,431 - Model - INFO - Training mean loss: 0.345815
2019-12-19 02:55:06,431 - Model - INFO - Training accuracy: 0.888957
2019-12-19 02:55:06,432 - Model - INFO - ---- EPOCH 378 EVALUATION ----
2019-12-19 02:55:14,925 - Model - INFO - Eval mean loss: 0.694359
2019-12-19 02:55:14,925 - Model - INFO - Eval accuracy: 0.774577
2019-12-19 02:55:14,925 - Model - INFO - **** Epoch 379 (379/1024) ****
2019-12-19 02:55:14,925 - Model - INFO - Learning rate:0.000700
2019-12-19 02:55:33,323 - Model - INFO - Training mean loss: 0.368593
2019-12-19 02:55:33,323 - Model - INFO - Training accuracy: 0.878237
2019-12-19 02:55:33,325 - Model - INFO - ---- EPOCH 379 EVALUATION ----
2019-12-19 02:55:41,765 - Model - INFO - Eval mean loss: 0.927397
2019-12-19 02:55:41,766 - Model - INFO - Eval accuracy: 0.743034
2019-12-19 02:55:41,766 - Model - INFO - **** Epoch 380 (380/1024) ****
2019-12-19 02:55:41,766 - Model - INFO - Learning rate:0.000700
2019-12-19 02:56:00,562 - Model - INFO - Training mean loss: 0.345601
2019-12-19 02:56:00,562 - Model - INFO - Training accuracy: 0.889212
2019-12-19 02:56:00,564 - Model - INFO - ---- EPOCH 380 EVALUATION ----
2019-12-19 02:56:09,129 - Model - INFO - Eval mean loss: 0.863277
2019-12-19 02:56:09,129 - Model - INFO - Eval accuracy: 0.752102
2019-12-19 02:56:09,130 - Model - INFO - **** Epoch 381 (381/1024) ****
2019-12-19 02:56:09,130 - Model - INFO - Learning rate:0.000700
2019-12-19 02:56:26,704 - Model - INFO - Training mean loss: 0.365805
2019-12-19 02:56:26,705 - Model - INFO - Training accuracy: 0.883325
2019-12-19 02:56:26,705 - Model - INFO - Save model...
2019-12-19 02:56:26,705 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 02:56:26,728 - Model - INFO - Saving model....
2019-12-19 02:56:26,730 - Model - INFO - ---- EPOCH 381 EVALUATION ----
2019-12-19 02:56:35,115 - Model - INFO - Eval mean loss: 0.700949
2019-12-19 02:56:35,116 - Model - INFO - Eval accuracy: 0.778503
2019-12-19 02:56:35,116 - Model - INFO - **** Epoch 382 (382/1024) ****
2019-12-19 02:56:35,116 - Model - INFO - Learning rate:0.000700
2019-12-19 02:56:53,365 - Model - INFO - Training mean loss: 0.358953
2019-12-19 02:56:53,365 - Model - INFO - Training accuracy: 0.887642
2019-12-19 02:56:53,367 - Model - INFO - ---- EPOCH 382 EVALUATION ----
2019-12-19 02:57:01,837 - Model - INFO - Eval mean loss: 1.012300
2019-12-19 02:57:01,837 - Model - INFO - Eval accuracy: 0.748423
2019-12-19 02:57:01,837 - Model - INFO - **** Epoch 383 (383/1024) ****
2019-12-19 02:57:01,837 - Model - INFO - Learning rate:0.000700
2019-12-19 02:57:20,533 - Model - INFO - Training mean loss: 0.354918
2019-12-19 02:57:20,534 - Model - INFO - Training accuracy: 0.885996
2019-12-19 02:57:20,535 - Model - INFO - ---- EPOCH 383 EVALUATION ----
2019-12-19 02:57:29,044 - Model - INFO - Eval mean loss: 0.823787
2019-12-19 02:57:29,044 - Model - INFO - Eval accuracy: 0.750005
2019-12-19 02:57:29,044 - Model - INFO - **** Epoch 384 (384/1024) ****
2019-12-19 02:57:29,044 - Model - INFO - Learning rate:0.000700
2019-12-19 02:57:46,668 - Model - INFO - Training mean loss: 0.355760
2019-12-19 02:57:46,668 - Model - INFO - Training accuracy: 0.886916
2019-12-19 02:57:46,670 - Model - INFO - ---- EPOCH 384 EVALUATION ----
2019-12-19 02:57:55,068 - Model - INFO - Eval mean loss: 0.613203
2019-12-19 02:57:55,069 - Model - INFO - Eval accuracy: 0.786358
2019-12-19 02:57:55,069 - Model - INFO - **** Epoch 385 (385/1024) ****
2019-12-19 02:57:55,069 - Model - INFO - Learning rate:0.000700
2019-12-19 02:58:12,898 - Model - INFO - Training mean loss: 0.360705
2019-12-19 02:58:12,898 - Model - INFO - Training accuracy: 0.888024
2019-12-19 02:58:12,900 - Model - INFO - ---- EPOCH 385 EVALUATION ----
2019-12-19 02:58:21,289 - Model - INFO - Eval mean loss: 0.813642
2019-12-19 02:58:21,290 - Model - INFO - Eval accuracy: 0.756376
2019-12-19 02:58:21,290 - Model - INFO - **** Epoch 386 (386/1024) ****
2019-12-19 02:58:21,290 - Model - INFO - Learning rate:0.000700
2019-12-19 02:58:39,817 - Model - INFO - Training mean loss: 0.364889
2019-12-19 02:58:39,817 - Model - INFO - Training accuracy: 0.885829
2019-12-19 02:58:39,819 - Model - INFO - ---- EPOCH 386 EVALUATION ----
2019-12-19 02:58:48,257 - Model - INFO - Eval mean loss: 0.903046
2019-12-19 02:58:48,257 - Model - INFO - Eval accuracy: 0.763775
2019-12-19 02:58:48,257 - Model - INFO - **** Epoch 387 (387/1024) ****
2019-12-19 02:58:48,257 - Model - INFO - Learning rate:0.000700
2019-12-19 02:59:06,160 - Model - INFO - Training mean loss: 0.345020
2019-12-19 02:59:06,161 - Model - INFO - Training accuracy: 0.882652
2019-12-19 02:59:06,163 - Model - INFO - ---- EPOCH 387 EVALUATION ----
2019-12-19 02:59:14,617 - Model - INFO - Eval mean loss: 0.813476
2019-12-19 02:59:14,617 - Model - INFO - Eval accuracy: 0.766602
2019-12-19 02:59:14,617 - Model - INFO - **** Epoch 388 (388/1024) ****
2019-12-19 02:59:14,617 - Model - INFO - Learning rate:0.000700
2019-12-19 02:59:32,684 - Model - INFO - Training mean loss: 0.320178
2019-12-19 02:59:32,685 - Model - INFO - Training accuracy: 0.894456
2019-12-19 02:59:32,686 - Model - INFO - ---- EPOCH 388 EVALUATION ----
2019-12-19 02:59:41,275 - Model - INFO - Eval mean loss: 0.869428
2019-12-19 02:59:41,276 - Model - INFO - Eval accuracy: 0.760946
2019-12-19 02:59:41,276 - Model - INFO - **** Epoch 389 (389/1024) ****
2019-12-19 02:59:41,276 - Model - INFO - Learning rate:0.000700
2019-12-19 03:00:00,349 - Model - INFO - Training mean loss: 0.335596
2019-12-19 03:00:00,349 - Model - INFO - Training accuracy: 0.889710
2019-12-19 03:00:00,351 - Model - INFO - ---- EPOCH 389 EVALUATION ----
2019-12-19 03:00:08,839 - Model - INFO - Eval mean loss: 0.759802
2019-12-19 03:00:08,839 - Model - INFO - Eval accuracy: 0.760708
2019-12-19 03:00:08,839 - Model - INFO - **** Epoch 390 (390/1024) ****
2019-12-19 03:00:08,839 - Model - INFO - Learning rate:0.000700
2019-12-19 03:00:26,578 - Model - INFO - Training mean loss: 0.341283
2019-12-19 03:00:26,579 - Model - INFO - Training accuracy: 0.892027
2019-12-19 03:00:26,580 - Model - INFO - ---- EPOCH 390 EVALUATION ----
2019-12-19 03:00:35,072 - Model - INFO - Eval mean loss: 0.876148
2019-12-19 03:00:35,072 - Model - INFO - Eval accuracy: 0.763938
2019-12-19 03:00:35,072 - Model - INFO - **** Epoch 391 (391/1024) ****
2019-12-19 03:00:35,072 - Model - INFO - Learning rate:0.000700
2019-12-19 03:00:53,160 - Model - INFO - Training mean loss: 0.350835
2019-12-19 03:00:53,160 - Model - INFO - Training accuracy: 0.885850
2019-12-19 03:00:53,160 - Model - INFO - Save model...
2019-12-19 03:00:53,160 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:00:53,184 - Model - INFO - Saving model....
2019-12-19 03:00:53,185 - Model - INFO - ---- EPOCH 391 EVALUATION ----
2019-12-19 03:01:01,617 - Model - INFO - Eval mean loss: 0.775425
2019-12-19 03:01:01,617 - Model - INFO - Eval accuracy: 0.763658
2019-12-19 03:01:01,617 - Model - INFO - **** Epoch 392 (392/1024) ****
2019-12-19 03:01:01,617 - Model - INFO - Learning rate:0.000700
2019-12-19 03:01:19,124 - Model - INFO - Training mean loss: 0.380433
2019-12-19 03:01:19,124 - Model - INFO - Training accuracy: 0.874502
2019-12-19 03:01:19,126 - Model - INFO - ---- EPOCH 392 EVALUATION ----
2019-12-19 03:01:27,655 - Model - INFO - Eval mean loss: 0.962227
2019-12-19 03:01:27,655 - Model - INFO - Eval accuracy: 0.751561
2019-12-19 03:01:27,655 - Model - INFO - **** Epoch 393 (393/1024) ****
2019-12-19 03:01:27,655 - Model - INFO - Learning rate:0.000700
2019-12-19 03:01:45,229 - Model - INFO - Training mean loss: 0.366466
2019-12-19 03:01:45,229 - Model - INFO - Training accuracy: 0.880151
2019-12-19 03:01:45,231 - Model - INFO - ---- EPOCH 393 EVALUATION ----
2019-12-19 03:01:53,702 - Model - INFO - Eval mean loss: 0.830654
2019-12-19 03:01:53,702 - Model - INFO - Eval accuracy: 0.757870
2019-12-19 03:01:53,702 - Model - INFO - **** Epoch 394 (394/1024) ****
2019-12-19 03:01:53,702 - Model - INFO - Learning rate:0.000700
2019-12-19 03:02:10,954 - Model - INFO - Training mean loss: 0.358739
2019-12-19 03:02:10,954 - Model - INFO - Training accuracy: 0.882886
2019-12-19 03:02:10,955 - Model - INFO - ---- EPOCH 394 EVALUATION ----
2019-12-19 03:02:19,479 - Model - INFO - Eval mean loss: 0.873956
2019-12-19 03:02:19,479 - Model - INFO - Eval accuracy: 0.752628
2019-12-19 03:02:19,480 - Model - INFO - **** Epoch 395 (395/1024) ****
2019-12-19 03:02:19,480 - Model - INFO - Learning rate:0.000700
2019-12-19 03:02:37,722 - Model - INFO - Training mean loss: 0.375741
2019-12-19 03:02:37,723 - Model - INFO - Training accuracy: 0.879250
2019-12-19 03:02:37,724 - Model - INFO - ---- EPOCH 395 EVALUATION ----
2019-12-19 03:02:46,144 - Model - INFO - Eval mean loss: 0.831695
2019-12-19 03:02:46,144 - Model - INFO - Eval accuracy: 0.755764
2019-12-19 03:02:46,144 - Model - INFO - **** Epoch 396 (396/1024) ****
2019-12-19 03:02:46,144 - Model - INFO - Learning rate:0.000700
2019-12-19 03:03:03,978 - Model - INFO - Training mean loss: 0.348837
2019-12-19 03:03:03,978 - Model - INFO - Training accuracy: 0.884578
2019-12-19 03:03:03,980 - Model - INFO - ---- EPOCH 396 EVALUATION ----
2019-12-19 03:03:12,552 - Model - INFO - Eval mean loss: 0.844241
2019-12-19 03:03:12,552 - Model - INFO - Eval accuracy: 0.774616
2019-12-19 03:03:12,552 - Model - INFO - **** Epoch 397 (397/1024) ****
2019-12-19 03:03:12,552 - Model - INFO - Learning rate:0.000700
2019-12-19 03:03:29,786 - Model - INFO - Training mean loss: 0.351067
2019-12-19 03:03:29,786 - Model - INFO - Training accuracy: 0.887232
2019-12-19 03:03:29,788 - Model - INFO - ---- EPOCH 397 EVALUATION ----
2019-12-19 03:03:38,259 - Model - INFO - Eval mean loss: 0.815693
2019-12-19 03:03:38,260 - Model - INFO - Eval accuracy: 0.758772
2019-12-19 03:03:38,260 - Model - INFO - **** Epoch 398 (398/1024) ****
2019-12-19 03:03:38,260 - Model - INFO - Learning rate:0.000700
2019-12-19 03:03:55,650 - Model - INFO - Training mean loss: 0.342892
2019-12-19 03:03:55,650 - Model - INFO - Training accuracy: 0.889191
2019-12-19 03:03:55,652 - Model - INFO - ---- EPOCH 398 EVALUATION ----
2019-12-19 03:04:04,308 - Model - INFO - Eval mean loss: 0.732323
2019-12-19 03:04:04,308 - Model - INFO - Eval accuracy: 0.757828
2019-12-19 03:04:04,308 - Model - INFO - **** Epoch 399 (399/1024) ****
2019-12-19 03:04:04,308 - Model - INFO - Learning rate:0.000700
2019-12-19 03:04:21,746 - Model - INFO - Training mean loss: 0.350209
2019-12-19 03:04:21,746 - Model - INFO - Training accuracy: 0.887291
2019-12-19 03:04:21,747 - Model - INFO - ---- EPOCH 399 EVALUATION ----
2019-12-19 03:04:30,290 - Model - INFO - Eval mean loss: 0.725445
2019-12-19 03:04:30,290 - Model - INFO - Eval accuracy: 0.772483
2019-12-19 03:04:30,291 - Model - INFO - **** Epoch 400 (400/1024) ****
2019-12-19 03:04:30,291 - Model - INFO - Learning rate:0.000700
2019-12-19 03:04:48,877 - Model - INFO - Training mean loss: 0.354156
2019-12-19 03:04:48,878 - Model - INFO - Training accuracy: 0.883248
2019-12-19 03:04:48,879 - Model - INFO - ---- EPOCH 400 EVALUATION ----
2019-12-19 03:04:57,428 - Model - INFO - Eval mean loss: 0.832271
2019-12-19 03:04:57,429 - Model - INFO - Eval accuracy: 0.773020
2019-12-19 03:04:57,429 - Model - INFO - **** Epoch 401 (401/1024) ****
2019-12-19 03:04:57,429 - Model - INFO - Learning rate:0.000490
2019-12-19 03:05:16,881 - Model - INFO - Training mean loss: 0.363657
2019-12-19 03:05:16,881 - Model - INFO - Training accuracy: 0.881494
2019-12-19 03:05:16,881 - Model - INFO - Save model...
2019-12-19 03:05:16,881 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:05:16,919 - Model - INFO - Saving model....
2019-12-19 03:05:16,921 - Model - INFO - ---- EPOCH 401 EVALUATION ----
2019-12-19 03:05:25,539 - Model - INFO - Eval mean loss: 0.739489
2019-12-19 03:05:25,539 - Model - INFO - Eval accuracy: 0.770779
2019-12-19 03:05:25,539 - Model - INFO - **** Epoch 402 (402/1024) ****
2019-12-19 03:05:25,539 - Model - INFO - Learning rate:0.000490
2019-12-19 03:05:44,544 - Model - INFO - Training mean loss: 0.329899
2019-12-19 03:05:44,544 - Model - INFO - Training accuracy: 0.894265
2019-12-19 03:05:44,546 - Model - INFO - ---- EPOCH 402 EVALUATION ----
2019-12-19 03:05:53,113 - Model - INFO - Eval mean loss: 0.944860
2019-12-19 03:05:53,113 - Model - INFO - Eval accuracy: 0.754266
2019-12-19 03:05:53,113 - Model - INFO - **** Epoch 403 (403/1024) ****
2019-12-19 03:05:53,114 - Model - INFO - Learning rate:0.000490
2019-12-19 03:06:11,244 - Model - INFO - Training mean loss: 0.298353
2019-12-19 03:06:11,244 - Model - INFO - Training accuracy: 0.898748
2019-12-19 03:06:11,246 - Model - INFO - ---- EPOCH 403 EVALUATION ----
2019-12-19 03:06:19,795 - Model - INFO - Eval mean loss: 0.806328
2019-12-19 03:06:19,795 - Model - INFO - Eval accuracy: 0.760369
2019-12-19 03:06:19,795 - Model - INFO - **** Epoch 404 (404/1024) ****
2019-12-19 03:06:19,796 - Model - INFO - Learning rate:0.000490
2019-12-19 03:06:37,672 - Model - INFO - Training mean loss: 0.326035
2019-12-19 03:06:37,672 - Model - INFO - Training accuracy: 0.891885
2019-12-19 03:06:37,673 - Model - INFO - ---- EPOCH 404 EVALUATION ----
2019-12-19 03:06:46,117 - Model - INFO - Eval mean loss: 0.815538
2019-12-19 03:06:46,117 - Model - INFO - Eval accuracy: 0.750910
2019-12-19 03:06:46,117 - Model - INFO - **** Epoch 405 (405/1024) ****
2019-12-19 03:06:46,117 - Model - INFO - Learning rate:0.000490
2019-12-19 03:07:03,590 - Model - INFO - Training mean loss: 0.333846
2019-12-19 03:07:03,590 - Model - INFO - Training accuracy: 0.891450
2019-12-19 03:07:03,592 - Model - INFO - ---- EPOCH 405 EVALUATION ----
2019-12-19 03:07:12,197 - Model - INFO - Eval mean loss: 0.837833
2019-12-19 03:07:12,197 - Model - INFO - Eval accuracy: 0.759738
2019-12-19 03:07:12,197 - Model - INFO - **** Epoch 406 (406/1024) ****
2019-12-19 03:07:12,198 - Model - INFO - Learning rate:0.000490
2019-12-19 03:07:30,886 - Model - INFO - Training mean loss: 0.324539
2019-12-19 03:07:30,886 - Model - INFO - Training accuracy: 0.892726
2019-12-19 03:07:30,887 - Model - INFO - ---- EPOCH 406 EVALUATION ----
2019-12-19 03:07:39,276 - Model - INFO - Eval mean loss: 0.703742
2019-12-19 03:07:39,276 - Model - INFO - Eval accuracy: 0.786494
2019-12-19 03:07:39,276 - Model - INFO - **** Epoch 407 (407/1024) ****
2019-12-19 03:07:39,276 - Model - INFO - Learning rate:0.000490
2019-12-19 03:07:57,095 - Model - INFO - Training mean loss: 0.320970
2019-12-19 03:07:57,095 - Model - INFO - Training accuracy: 0.898944
2019-12-19 03:07:57,096 - Model - INFO - ---- EPOCH 407 EVALUATION ----
2019-12-19 03:08:05,657 - Model - INFO - Eval mean loss: 1.038346
2019-12-19 03:08:05,658 - Model - INFO - Eval accuracy: 0.729931
2019-12-19 03:08:05,658 - Model - INFO - **** Epoch 408 (408/1024) ****
2019-12-19 03:08:05,658 - Model - INFO - Learning rate:0.000490
2019-12-19 03:08:24,744 - Model - INFO - Training mean loss: 0.311837
2019-12-19 03:08:24,744 - Model - INFO - Training accuracy: 0.895341
2019-12-19 03:08:24,746 - Model - INFO - ---- EPOCH 408 EVALUATION ----
2019-12-19 03:08:33,188 - Model - INFO - Eval mean loss: 0.794083
2019-12-19 03:08:33,188 - Model - INFO - Eval accuracy: 0.784375
2019-12-19 03:08:33,188 - Model - INFO - **** Epoch 409 (409/1024) ****
2019-12-19 03:08:33,188 - Model - INFO - Learning rate:0.000490
2019-12-19 03:08:51,336 - Model - INFO - Training mean loss: 0.329437
2019-12-19 03:08:51,337 - Model - INFO - Training accuracy: 0.891965
2019-12-19 03:08:51,338 - Model - INFO - ---- EPOCH 409 EVALUATION ----
2019-12-19 03:08:59,614 - Model - INFO - Eval mean loss: 0.943085
2019-12-19 03:08:59,614 - Model - INFO - Eval accuracy: 0.765067
2019-12-19 03:08:59,614 - Model - INFO - **** Epoch 410 (410/1024) ****
2019-12-19 03:08:59,614 - Model - INFO - Learning rate:0.000490
2019-12-19 03:09:17,340 - Model - INFO - Training mean loss: 0.338962
2019-12-19 03:09:17,340 - Model - INFO - Training accuracy: 0.890118
2019-12-19 03:09:17,342 - Model - INFO - ---- EPOCH 410 EVALUATION ----
2019-12-19 03:09:25,832 - Model - INFO - Eval mean loss: 0.792735
2019-12-19 03:09:25,832 - Model - INFO - Eval accuracy: 0.765678
2019-12-19 03:09:25,832 - Model - INFO - **** Epoch 411 (411/1024) ****
2019-12-19 03:09:25,832 - Model - INFO - Learning rate:0.000490
2019-12-19 03:09:44,239 - Model - INFO - Training mean loss: 0.349499
2019-12-19 03:09:44,239 - Model - INFO - Training accuracy: 0.885248
2019-12-19 03:09:44,239 - Model - INFO - Save model...
2019-12-19 03:09:44,239 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:09:44,265 - Model - INFO - Saving model....
2019-12-19 03:09:44,267 - Model - INFO - ---- EPOCH 411 EVALUATION ----
2019-12-19 03:09:52,596 - Model - INFO - Eval mean loss: 0.711009
2019-12-19 03:09:52,597 - Model - INFO - Eval accuracy: 0.774935
2019-12-19 03:09:52,597 - Model - INFO - **** Epoch 412 (412/1024) ****
2019-12-19 03:09:52,597 - Model - INFO - Learning rate:0.000490
2019-12-19 03:10:11,584 - Model - INFO - Training mean loss: 0.353023
2019-12-19 03:10:11,585 - Model - INFO - Training accuracy: 0.888796
2019-12-19 03:10:11,586 - Model - INFO - ---- EPOCH 412 EVALUATION ----
2019-12-19 03:10:20,066 - Model - INFO - Eval mean loss: 0.894426
2019-12-19 03:10:20,066 - Model - INFO - Eval accuracy: 0.738439
2019-12-19 03:10:20,066 - Model - INFO - **** Epoch 413 (413/1024) ****
2019-12-19 03:10:20,066 - Model - INFO - Learning rate:0.000490
2019-12-19 03:10:38,443 - Model - INFO - Training mean loss: 0.323312
2019-12-19 03:10:38,443 - Model - INFO - Training accuracy: 0.891914
2019-12-19 03:10:38,444 - Model - INFO - ---- EPOCH 413 EVALUATION ----
2019-12-19 03:10:46,798 - Model - INFO - Eval mean loss: 0.912247
2019-12-19 03:10:46,798 - Model - INFO - Eval accuracy: 0.748596
2019-12-19 03:10:46,799 - Model - INFO - **** Epoch 414 (414/1024) ****
2019-12-19 03:10:46,799 - Model - INFO - Learning rate:0.000490
2019-12-19 03:11:05,466 - Model - INFO - Training mean loss: 0.335278
2019-12-19 03:11:05,466 - Model - INFO - Training accuracy: 0.888252
2019-12-19 03:11:05,468 - Model - INFO - ---- EPOCH 414 EVALUATION ----
2019-12-19 03:11:14,034 - Model - INFO - Eval mean loss: 0.694370
2019-12-19 03:11:14,034 - Model - INFO - Eval accuracy: 0.773573
2019-12-19 03:11:14,034 - Model - INFO - **** Epoch 415 (415/1024) ****
2019-12-19 03:11:14,035 - Model - INFO - Learning rate:0.000490
2019-12-19 03:11:32,512 - Model - INFO - Training mean loss: 0.326527
2019-12-19 03:11:32,512 - Model - INFO - Training accuracy: 0.894121
2019-12-19 03:11:32,514 - Model - INFO - ---- EPOCH 415 EVALUATION ----
2019-12-19 03:11:41,158 - Model - INFO - Eval mean loss: 0.870165
2019-12-19 03:11:41,158 - Model - INFO - Eval accuracy: 0.760644
2019-12-19 03:11:41,158 - Model - INFO - **** Epoch 416 (416/1024) ****
2019-12-19 03:11:41,158 - Model - INFO - Learning rate:0.000490
2019-12-19 03:11:58,736 - Model - INFO - Training mean loss: 0.346278
2019-12-19 03:11:58,736 - Model - INFO - Training accuracy: 0.886566
2019-12-19 03:11:58,738 - Model - INFO - ---- EPOCH 416 EVALUATION ----
2019-12-19 03:12:07,246 - Model - INFO - Eval mean loss: 0.780050
2019-12-19 03:12:07,246 - Model - INFO - Eval accuracy: 0.775443
2019-12-19 03:12:07,246 - Model - INFO - **** Epoch 417 (417/1024) ****
2019-12-19 03:12:07,246 - Model - INFO - Learning rate:0.000490
2019-12-19 03:12:26,478 - Model - INFO - Training mean loss: 0.332082
2019-12-19 03:12:26,478 - Model - INFO - Training accuracy: 0.889578
2019-12-19 03:12:26,480 - Model - INFO - ---- EPOCH 417 EVALUATION ----
2019-12-19 03:12:34,987 - Model - INFO - Eval mean loss: 0.880876
2019-12-19 03:12:34,987 - Model - INFO - Eval accuracy: 0.735165
2019-12-19 03:12:34,987 - Model - INFO - **** Epoch 418 (418/1024) ****
2019-12-19 03:12:34,987 - Model - INFO - Learning rate:0.000490
2019-12-19 03:12:53,404 - Model - INFO - Training mean loss: 0.321792
2019-12-19 03:12:53,404 - Model - INFO - Training accuracy: 0.897384
2019-12-19 03:12:53,406 - Model - INFO - ---- EPOCH 418 EVALUATION ----
2019-12-19 03:13:01,907 - Model - INFO - Eval mean loss: 0.798636
2019-12-19 03:13:01,907 - Model - INFO - Eval accuracy: 0.756671
2019-12-19 03:13:01,908 - Model - INFO - **** Epoch 419 (419/1024) ****
2019-12-19 03:13:01,908 - Model - INFO - Learning rate:0.000490
2019-12-19 03:13:20,579 - Model - INFO - Training mean loss: 0.347765
2019-12-19 03:13:20,579 - Model - INFO - Training accuracy: 0.890620
2019-12-19 03:13:20,580 - Model - INFO - ---- EPOCH 419 EVALUATION ----
2019-12-19 03:13:28,948 - Model - INFO - Eval mean loss: 0.740693
2019-12-19 03:13:28,949 - Model - INFO - Eval accuracy: 0.769853
2019-12-19 03:13:28,949 - Model - INFO - **** Epoch 420 (420/1024) ****
2019-12-19 03:13:28,949 - Model - INFO - Learning rate:0.000490
2019-12-19 03:13:48,108 - Model - INFO - Training mean loss: 0.324161
2019-12-19 03:13:48,108 - Model - INFO - Training accuracy: 0.890201
2019-12-19 03:13:48,109 - Model - INFO - ---- EPOCH 420 EVALUATION ----
2019-12-19 03:13:56,471 - Model - INFO - Eval mean loss: 0.788236
2019-12-19 03:13:56,472 - Model - INFO - Eval accuracy: 0.775626
2019-12-19 03:13:56,472 - Model - INFO - **** Epoch 421 (421/1024) ****
2019-12-19 03:13:56,472 - Model - INFO - Learning rate:0.000490
2019-12-19 03:14:13,942 - Model - INFO - Training mean loss: 0.319706
2019-12-19 03:14:13,942 - Model - INFO - Training accuracy: 0.894659
2019-12-19 03:14:13,942 - Model - INFO - Save model...
2019-12-19 03:14:13,942 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:14:13,966 - Model - INFO - Saving model....
2019-12-19 03:14:13,967 - Model - INFO - ---- EPOCH 421 EVALUATION ----
2019-12-19 03:14:22,451 - Model - INFO - Eval mean loss: 0.834855
2019-12-19 03:14:22,451 - Model - INFO - Eval accuracy: 0.756231
2019-12-19 03:14:22,451 - Model - INFO - **** Epoch 422 (422/1024) ****
2019-12-19 03:14:22,451 - Model - INFO - Learning rate:0.000490
2019-12-19 03:14:40,876 - Model - INFO - Training mean loss: 0.336930
2019-12-19 03:14:40,876 - Model - INFO - Training accuracy: 0.889700
2019-12-19 03:14:40,877 - Model - INFO - ---- EPOCH 422 EVALUATION ----
2019-12-19 03:14:49,286 - Model - INFO - Eval mean loss: 0.882256
2019-12-19 03:14:49,287 - Model - INFO - Eval accuracy: 0.752014
2019-12-19 03:14:49,287 - Model - INFO - **** Epoch 423 (423/1024) ****
2019-12-19 03:14:49,287 - Model - INFO - Learning rate:0.000490
2019-12-19 03:15:06,686 - Model - INFO - Training mean loss: 0.329509
2019-12-19 03:15:06,686 - Model - INFO - Training accuracy: 0.889881
2019-12-19 03:15:06,688 - Model - INFO - ---- EPOCH 423 EVALUATION ----
2019-12-19 03:15:15,152 - Model - INFO - Eval mean loss: 0.804397
2019-12-19 03:15:15,152 - Model - INFO - Eval accuracy: 0.759420
2019-12-19 03:15:15,152 - Model - INFO - **** Epoch 424 (424/1024) ****
2019-12-19 03:15:15,152 - Model - INFO - Learning rate:0.000490
2019-12-19 03:15:33,318 - Model - INFO - Training mean loss: 0.304862
2019-12-19 03:15:33,318 - Model - INFO - Training accuracy: 0.897872
2019-12-19 03:15:33,319 - Model - INFO - ---- EPOCH 424 EVALUATION ----
2019-12-19 03:15:41,826 - Model - INFO - Eval mean loss: 0.704268
2019-12-19 03:15:41,827 - Model - INFO - Eval accuracy: 0.784463
2019-12-19 03:15:41,827 - Model - INFO - **** Epoch 425 (425/1024) ****
2019-12-19 03:15:41,827 - Model - INFO - Learning rate:0.000490
2019-12-19 03:15:59,993 - Model - INFO - Training mean loss: 0.331865
2019-12-19 03:15:59,994 - Model - INFO - Training accuracy: 0.891719
2019-12-19 03:15:59,995 - Model - INFO - ---- EPOCH 425 EVALUATION ----
2019-12-19 03:16:08,503 - Model - INFO - Eval mean loss: 0.851851
2019-12-19 03:16:08,503 - Model - INFO - Eval accuracy: 0.742830
2019-12-19 03:16:08,503 - Model - INFO - **** Epoch 426 (426/1024) ****
2019-12-19 03:16:08,503 - Model - INFO - Learning rate:0.000490
2019-12-19 03:16:26,516 - Model - INFO - Training mean loss: 0.359135
2019-12-19 03:16:26,516 - Model - INFO - Training accuracy: 0.882310
2019-12-19 03:16:26,517 - Model - INFO - ---- EPOCH 426 EVALUATION ----
2019-12-19 03:16:35,062 - Model - INFO - Eval mean loss: 0.780014
2019-12-19 03:16:35,063 - Model - INFO - Eval accuracy: 0.759662
2019-12-19 03:16:35,063 - Model - INFO - **** Epoch 427 (427/1024) ****
2019-12-19 03:16:35,063 - Model - INFO - Learning rate:0.000490
2019-12-19 03:16:52,773 - Model - INFO - Training mean loss: 0.341015
2019-12-19 03:16:52,774 - Model - INFO - Training accuracy: 0.888900
2019-12-19 03:16:52,775 - Model - INFO - ---- EPOCH 427 EVALUATION ----
2019-12-19 03:17:01,216 - Model - INFO - Eval mean loss: 0.859829
2019-12-19 03:17:01,217 - Model - INFO - Eval accuracy: 0.762177
2019-12-19 03:17:01,217 - Model - INFO - **** Epoch 428 (428/1024) ****
2019-12-19 03:17:01,217 - Model - INFO - Learning rate:0.000490
2019-12-19 03:17:19,297 - Model - INFO - Training mean loss: 0.327762
2019-12-19 03:17:19,298 - Model - INFO - Training accuracy: 0.887070
2019-12-19 03:17:19,299 - Model - INFO - ---- EPOCH 428 EVALUATION ----
2019-12-19 03:17:27,709 - Model - INFO - Eval mean loss: 0.730883
2019-12-19 03:17:27,709 - Model - INFO - Eval accuracy: 0.776698
2019-12-19 03:17:27,709 - Model - INFO - **** Epoch 429 (429/1024) ****
2019-12-19 03:17:27,710 - Model - INFO - Learning rate:0.000490
2019-12-19 03:17:46,088 - Model - INFO - Training mean loss: 0.335320
2019-12-19 03:17:46,088 - Model - INFO - Training accuracy: 0.895565
2019-12-19 03:17:46,090 - Model - INFO - ---- EPOCH 429 EVALUATION ----
2019-12-19 03:17:54,722 - Model - INFO - Eval mean loss: 0.757841
2019-12-19 03:17:54,723 - Model - INFO - Eval accuracy: 0.786002
2019-12-19 03:17:54,723 - Model - INFO - **** Epoch 430 (430/1024) ****
2019-12-19 03:17:54,723 - Model - INFO - Learning rate:0.000490
2019-12-19 03:18:13,153 - Model - INFO - Training mean loss: 0.324165
2019-12-19 03:18:13,153 - Model - INFO - Training accuracy: 0.889444
2019-12-19 03:18:13,155 - Model - INFO - ---- EPOCH 430 EVALUATION ----
2019-12-19 03:18:21,649 - Model - INFO - Eval mean loss: 0.745592
2019-12-19 03:18:21,650 - Model - INFO - Eval accuracy: 0.771072
2019-12-19 03:18:21,650 - Model - INFO - **** Epoch 431 (431/1024) ****
2019-12-19 03:18:21,650 - Model - INFO - Learning rate:0.000490
2019-12-19 03:18:39,979 - Model - INFO - Training mean loss: 0.327494
2019-12-19 03:18:39,979 - Model - INFO - Training accuracy: 0.895095
2019-12-19 03:18:39,979 - Model - INFO - Save model...
2019-12-19 03:18:39,979 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:18:40,005 - Model - INFO - Saving model....
2019-12-19 03:18:40,007 - Model - INFO - ---- EPOCH 431 EVALUATION ----
2019-12-19 03:18:48,573 - Model - INFO - Eval mean loss: 0.908556
2019-12-19 03:18:48,573 - Model - INFO - Eval accuracy: 0.756666
2019-12-19 03:18:48,573 - Model - INFO - **** Epoch 432 (432/1024) ****
2019-12-19 03:18:48,573 - Model - INFO - Learning rate:0.000490
2019-12-19 03:19:06,017 - Model - INFO - Training mean loss: 0.323889
2019-12-19 03:19:06,017 - Model - INFO - Training accuracy: 0.889186
2019-12-19 03:19:06,019 - Model - INFO - ---- EPOCH 432 EVALUATION ----
2019-12-19 03:19:14,417 - Model - INFO - Eval mean loss: 0.742087
2019-12-19 03:19:14,417 - Model - INFO - Eval accuracy: 0.760810
2019-12-19 03:19:14,417 - Model - INFO - **** Epoch 433 (433/1024) ****
2019-12-19 03:19:14,418 - Model - INFO - Learning rate:0.000490
2019-12-19 03:19:31,665 - Model - INFO - Training mean loss: 0.333109
2019-12-19 03:19:31,666 - Model - INFO - Training accuracy: 0.896416
2019-12-19 03:19:31,667 - Model - INFO - ---- EPOCH 433 EVALUATION ----
2019-12-19 03:19:40,038 - Model - INFO - Eval mean loss: 0.671972
2019-12-19 03:19:40,038 - Model - INFO - Eval accuracy: 0.760451
2019-12-19 03:19:40,038 - Model - INFO - **** Epoch 434 (434/1024) ****
2019-12-19 03:19:40,038 - Model - INFO - Learning rate:0.000490
2019-12-19 03:19:58,141 - Model - INFO - Training mean loss: 0.339992
2019-12-19 03:19:58,142 - Model - INFO - Training accuracy: 0.878746
2019-12-19 03:19:58,143 - Model - INFO - ---- EPOCH 434 EVALUATION ----
2019-12-19 03:20:06,617 - Model - INFO - Eval mean loss: 0.779902
2019-12-19 03:20:06,618 - Model - INFO - Eval accuracy: 0.773980
2019-12-19 03:20:06,618 - Model - INFO - **** Epoch 435 (435/1024) ****
2019-12-19 03:20:06,618 - Model - INFO - Learning rate:0.000490
2019-12-19 03:20:24,464 - Model - INFO - Training mean loss: 0.301512
2019-12-19 03:20:24,464 - Model - INFO - Training accuracy: 0.897535
2019-12-19 03:20:24,465 - Model - INFO - ---- EPOCH 435 EVALUATION ----
2019-12-19 03:20:32,907 - Model - INFO - Eval mean loss: 0.806711
2019-12-19 03:20:32,907 - Model - INFO - Eval accuracy: 0.759201
2019-12-19 03:20:32,907 - Model - INFO - **** Epoch 436 (436/1024) ****
2019-12-19 03:20:32,907 - Model - INFO - Learning rate:0.000490
2019-12-19 03:20:52,498 - Model - INFO - Training mean loss: 0.309973
2019-12-19 03:20:52,498 - Model - INFO - Training accuracy: 0.896543
2019-12-19 03:20:52,501 - Model - INFO - ---- EPOCH 436 EVALUATION ----
2019-12-19 03:21:01,107 - Model - INFO - Eval mean loss: 0.788736
2019-12-19 03:21:01,107 - Model - INFO - Eval accuracy: 0.769319
2019-12-19 03:21:01,107 - Model - INFO - **** Epoch 437 (437/1024) ****
2019-12-19 03:21:01,108 - Model - INFO - Learning rate:0.000490
2019-12-19 03:21:19,889 - Model - INFO - Training mean loss: 0.309804
2019-12-19 03:21:19,889 - Model - INFO - Training accuracy: 0.896124
2019-12-19 03:21:19,891 - Model - INFO - ---- EPOCH 437 EVALUATION ----
2019-12-19 03:21:28,298 - Model - INFO - Eval mean loss: 0.790199
2019-12-19 03:21:28,299 - Model - INFO - Eval accuracy: 0.780524
2019-12-19 03:21:28,299 - Model - INFO - **** Epoch 438 (438/1024) ****
2019-12-19 03:21:28,299 - Model - INFO - Learning rate:0.000490
2019-12-19 03:21:46,091 - Model - INFO - Training mean loss: 0.304864
2019-12-19 03:21:46,092 - Model - INFO - Training accuracy: 0.898727
2019-12-19 03:21:46,093 - Model - INFO - ---- EPOCH 438 EVALUATION ----
2019-12-19 03:21:54,438 - Model - INFO - Eval mean loss: 1.208501
2019-12-19 03:21:54,439 - Model - INFO - Eval accuracy: 0.736718
2019-12-19 03:21:54,439 - Model - INFO - **** Epoch 439 (439/1024) ****
2019-12-19 03:21:54,439 - Model - INFO - Learning rate:0.000490
2019-12-19 03:22:12,912 - Model - INFO - Training mean loss: 0.321958
2019-12-19 03:22:12,912 - Model - INFO - Training accuracy: 0.896976
2019-12-19 03:22:12,914 - Model - INFO - ---- EPOCH 439 EVALUATION ----
2019-12-19 03:22:21,632 - Model - INFO - Eval mean loss: 0.846055
2019-12-19 03:22:21,632 - Model - INFO - Eval accuracy: 0.766612
2019-12-19 03:22:21,632 - Model - INFO - **** Epoch 440 (440/1024) ****
2019-12-19 03:22:21,632 - Model - INFO - Learning rate:0.000490
2019-12-19 03:22:39,538 - Model - INFO - Training mean loss: 0.324814
2019-12-19 03:22:39,538 - Model - INFO - Training accuracy: 0.892196
2019-12-19 03:22:39,540 - Model - INFO - ---- EPOCH 440 EVALUATION ----
2019-12-19 03:22:47,901 - Model - INFO - Eval mean loss: 0.778541
2019-12-19 03:22:47,901 - Model - INFO - Eval accuracy: 0.775024
2019-12-19 03:22:47,901 - Model - INFO - **** Epoch 441 (441/1024) ****
2019-12-19 03:22:47,902 - Model - INFO - Learning rate:0.000490
2019-12-19 03:23:06,241 - Model - INFO - Training mean loss: 0.325328
2019-12-19 03:23:06,241 - Model - INFO - Training accuracy: 0.895642
2019-12-19 03:23:06,241 - Model - INFO - Save model...
2019-12-19 03:23:06,242 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:23:06,266 - Model - INFO - Saving model....
2019-12-19 03:23:06,267 - Model - INFO - ---- EPOCH 441 EVALUATION ----
2019-12-19 03:23:14,691 - Model - INFO - Eval mean loss: 0.779864
2019-12-19 03:23:14,691 - Model - INFO - Eval accuracy: 0.765176
2019-12-19 03:23:14,691 - Model - INFO - **** Epoch 442 (442/1024) ****
2019-12-19 03:23:14,691 - Model - INFO - Learning rate:0.000490
2019-12-19 03:23:33,010 - Model - INFO - Training mean loss: 0.348092
2019-12-19 03:23:33,010 - Model - INFO - Training accuracy: 0.888767
2019-12-19 03:23:33,012 - Model - INFO - ---- EPOCH 442 EVALUATION ----
2019-12-19 03:23:41,408 - Model - INFO - Eval mean loss: 0.795417
2019-12-19 03:23:41,408 - Model - INFO - Eval accuracy: 0.766678
2019-12-19 03:23:41,408 - Model - INFO - **** Epoch 443 (443/1024) ****
2019-12-19 03:23:41,408 - Model - INFO - Learning rate:0.000490
2019-12-19 03:23:58,940 - Model - INFO - Training mean loss: 0.311358
2019-12-19 03:23:58,940 - Model - INFO - Training accuracy: 0.891696
2019-12-19 03:23:58,941 - Model - INFO - ---- EPOCH 443 EVALUATION ----
2019-12-19 03:24:07,445 - Model - INFO - Eval mean loss: 0.693311
2019-12-19 03:24:07,445 - Model - INFO - Eval accuracy: 0.791217
2019-12-19 03:24:07,446 - Model - INFO - **** Epoch 444 (444/1024) ****
2019-12-19 03:24:07,446 - Model - INFO - Learning rate:0.000490
2019-12-19 03:24:25,757 - Model - INFO - Training mean loss: 0.312714
2019-12-19 03:24:25,757 - Model - INFO - Training accuracy: 0.898563
2019-12-19 03:24:25,759 - Model - INFO - ---- EPOCH 444 EVALUATION ----
2019-12-19 03:24:34,196 - Model - INFO - Eval mean loss: 0.896870
2019-12-19 03:24:34,196 - Model - INFO - Eval accuracy: 0.763012
2019-12-19 03:24:34,196 - Model - INFO - **** Epoch 445 (445/1024) ****
2019-12-19 03:24:34,196 - Model - INFO - Learning rate:0.000490
2019-12-19 03:24:52,659 - Model - INFO - Training mean loss: 0.339014
2019-12-19 03:24:52,659 - Model - INFO - Training accuracy: 0.889191
2019-12-19 03:24:52,662 - Model - INFO - ---- EPOCH 445 EVALUATION ----
2019-12-19 03:25:01,283 - Model - INFO - Eval mean loss: 0.796132
2019-12-19 03:25:01,283 - Model - INFO - Eval accuracy: 0.767383
2019-12-19 03:25:01,283 - Model - INFO - **** Epoch 446 (446/1024) ****
2019-12-19 03:25:01,283 - Model - INFO - Learning rate:0.000490
2019-12-19 03:25:18,909 - Model - INFO - Training mean loss: 0.341834
2019-12-19 03:25:18,909 - Model - INFO - Training accuracy: 0.889710
2019-12-19 03:25:18,910 - Model - INFO - ---- EPOCH 446 EVALUATION ----
2019-12-19 03:25:27,390 - Model - INFO - Eval mean loss: 0.943694
2019-12-19 03:25:27,390 - Model - INFO - Eval accuracy: 0.749220
2019-12-19 03:25:27,391 - Model - INFO - **** Epoch 447 (447/1024) ****
2019-12-19 03:25:27,391 - Model - INFO - Learning rate:0.000490
2019-12-19 03:25:45,883 - Model - INFO - Training mean loss: 0.318935
2019-12-19 03:25:45,883 - Model - INFO - Training accuracy: 0.895583
2019-12-19 03:25:45,885 - Model - INFO - ---- EPOCH 447 EVALUATION ----
2019-12-19 03:25:54,377 - Model - INFO - Eval mean loss: 0.721976
2019-12-19 03:25:54,377 - Model - INFO - Eval accuracy: 0.766522
2019-12-19 03:25:54,377 - Model - INFO - **** Epoch 448 (448/1024) ****
2019-12-19 03:25:54,377 - Model - INFO - Learning rate:0.000490
2019-12-19 03:26:11,591 - Model - INFO - Training mean loss: 0.309051
2019-12-19 03:26:11,591 - Model - INFO - Training accuracy: 0.896215
2019-12-19 03:26:11,592 - Model - INFO - ---- EPOCH 448 EVALUATION ----
2019-12-19 03:26:20,125 - Model - INFO - Eval mean loss: 0.993497
2019-12-19 03:26:20,126 - Model - INFO - Eval accuracy: 0.752616
2019-12-19 03:26:20,126 - Model - INFO - **** Epoch 449 (449/1024) ****
2019-12-19 03:26:20,126 - Model - INFO - Learning rate:0.000490
2019-12-19 03:26:38,267 - Model - INFO - Training mean loss: 0.349073
2019-12-19 03:26:38,267 - Model - INFO - Training accuracy: 0.883203
2019-12-19 03:26:38,269 - Model - INFO - ---- EPOCH 449 EVALUATION ----
2019-12-19 03:26:46,847 - Model - INFO - Eval mean loss: 1.088945
2019-12-19 03:26:46,847 - Model - INFO - Eval accuracy: 0.740272
2019-12-19 03:26:46,848 - Model - INFO - **** Epoch 450 (450/1024) ****
2019-12-19 03:26:46,848 - Model - INFO - Learning rate:0.000490
2019-12-19 03:27:04,148 - Model - INFO - Training mean loss: 0.334440
2019-12-19 03:27:04,148 - Model - INFO - Training accuracy: 0.892546
2019-12-19 03:27:04,149 - Model - INFO - ---- EPOCH 450 EVALUATION ----
2019-12-19 03:27:12,592 - Model - INFO - Eval mean loss: 0.819296
2019-12-19 03:27:12,593 - Model - INFO - Eval accuracy: 0.769560
2019-12-19 03:27:12,593 - Model - INFO - **** Epoch 451 (451/1024) ****
2019-12-19 03:27:12,593 - Model - INFO - Learning rate:0.000490
2019-12-19 03:27:30,284 - Model - INFO - Training mean loss: 0.287750
2019-12-19 03:27:30,285 - Model - INFO - Training accuracy: 0.904989
2019-12-19 03:27:30,285 - Model - INFO - Save model...
2019-12-19 03:27:30,285 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:27:30,312 - Model - INFO - Saving model....
2019-12-19 03:27:30,314 - Model - INFO - ---- EPOCH 451 EVALUATION ----
2019-12-19 03:27:38,678 - Model - INFO - Eval mean loss: 0.759172
2019-12-19 03:27:38,679 - Model - INFO - Eval accuracy: 0.759576
2019-12-19 03:27:38,679 - Model - INFO - **** Epoch 452 (452/1024) ****
2019-12-19 03:27:38,679 - Model - INFO - Learning rate:0.000490
2019-12-19 03:27:56,787 - Model - INFO - Training mean loss: 0.334839
2019-12-19 03:27:56,787 - Model - INFO - Training accuracy: 0.891753
2019-12-19 03:27:56,789 - Model - INFO - ---- EPOCH 452 EVALUATION ----
2019-12-19 03:28:05,407 - Model - INFO - Eval mean loss: 0.735045
2019-12-19 03:28:05,407 - Model - INFO - Eval accuracy: 0.788744
2019-12-19 03:28:05,407 - Model - INFO - **** Epoch 453 (453/1024) ****
2019-12-19 03:28:05,407 - Model - INFO - Learning rate:0.000490
2019-12-19 03:28:23,895 - Model - INFO - Training mean loss: 0.325134
2019-12-19 03:28:23,895 - Model - INFO - Training accuracy: 0.889232
2019-12-19 03:28:23,897 - Model - INFO - ---- EPOCH 453 EVALUATION ----
2019-12-19 03:28:32,312 - Model - INFO - Eval mean loss: 0.737532
2019-12-19 03:28:32,312 - Model - INFO - Eval accuracy: 0.770462
2019-12-19 03:28:32,312 - Model - INFO - **** Epoch 454 (454/1024) ****
2019-12-19 03:28:32,312 - Model - INFO - Learning rate:0.000490
2019-12-19 03:28:50,003 - Model - INFO - Training mean loss: 0.333443
2019-12-19 03:28:50,003 - Model - INFO - Training accuracy: 0.893631
2019-12-19 03:28:50,005 - Model - INFO - ---- EPOCH 454 EVALUATION ----
2019-12-19 03:28:58,510 - Model - INFO - Eval mean loss: 0.846198
2019-12-19 03:28:58,510 - Model - INFO - Eval accuracy: 0.745451
2019-12-19 03:28:58,510 - Model - INFO - **** Epoch 455 (455/1024) ****
2019-12-19 03:28:58,510 - Model - INFO - Learning rate:0.000490
2019-12-19 03:29:18,142 - Model - INFO - Training mean loss: 0.340712
2019-12-19 03:29:18,142 - Model - INFO - Training accuracy: 0.888552
2019-12-19 03:29:18,145 - Model - INFO - ---- EPOCH 455 EVALUATION ----
2019-12-19 03:29:26,846 - Model - INFO - Eval mean loss: 0.950395
2019-12-19 03:29:26,847 - Model - INFO - Eval accuracy: 0.740885
2019-12-19 03:29:26,847 - Model - INFO - **** Epoch 456 (456/1024) ****
2019-12-19 03:29:26,847 - Model - INFO - Learning rate:0.000490
2019-12-19 03:29:45,651 - Model - INFO - Training mean loss: 0.328569
2019-12-19 03:29:45,651 - Model - INFO - Training accuracy: 0.894298
2019-12-19 03:29:45,653 - Model - INFO - ---- EPOCH 456 EVALUATION ----
2019-12-19 03:29:54,159 - Model - INFO - Eval mean loss: 0.942377
2019-12-19 03:29:54,159 - Model - INFO - Eval accuracy: 0.727710
2019-12-19 03:29:54,159 - Model - INFO - **** Epoch 457 (457/1024) ****
2019-12-19 03:29:54,159 - Model - INFO - Learning rate:0.000490
2019-12-19 03:30:12,202 - Model - INFO - Training mean loss: 0.298230
2019-12-19 03:30:12,202 - Model - INFO - Training accuracy: 0.901425
2019-12-19 03:30:12,204 - Model - INFO - ---- EPOCH 457 EVALUATION ----
2019-12-19 03:30:20,728 - Model - INFO - Eval mean loss: 0.787371
2019-12-19 03:30:20,729 - Model - INFO - Eval accuracy: 0.783625
2019-12-19 03:30:20,729 - Model - INFO - **** Epoch 458 (458/1024) ****
2019-12-19 03:30:20,729 - Model - INFO - Learning rate:0.000490
2019-12-19 03:30:39,464 - Model - INFO - Training mean loss: 0.290281
2019-12-19 03:30:39,464 - Model - INFO - Training accuracy: 0.903992
2019-12-19 03:30:39,466 - Model - INFO - ---- EPOCH 458 EVALUATION ----
2019-12-19 03:30:47,904 - Model - INFO - Eval mean loss: 0.783463
2019-12-19 03:30:47,905 - Model - INFO - Eval accuracy: 0.784570
2019-12-19 03:30:47,905 - Model - INFO - **** Epoch 459 (459/1024) ****
2019-12-19 03:30:47,905 - Model - INFO - Learning rate:0.000490
2019-12-19 03:31:05,484 - Model - INFO - Training mean loss: 0.303061
2019-12-19 03:31:05,484 - Model - INFO - Training accuracy: 0.898372
2019-12-19 03:31:05,486 - Model - INFO - ---- EPOCH 459 EVALUATION ----
2019-12-19 03:31:13,858 - Model - INFO - Eval mean loss: 0.928318
2019-12-19 03:31:13,859 - Model - INFO - Eval accuracy: 0.759032
2019-12-19 03:31:13,859 - Model - INFO - **** Epoch 460 (460/1024) ****
2019-12-19 03:31:13,859 - Model - INFO - Learning rate:0.000490
2019-12-19 03:31:31,753 - Model - INFO - Training mean loss: 0.311626
2019-12-19 03:31:31,753 - Model - INFO - Training accuracy: 0.896015
2019-12-19 03:31:31,755 - Model - INFO - ---- EPOCH 460 EVALUATION ----
2019-12-19 03:31:40,239 - Model - INFO - Eval mean loss: 0.692824
2019-12-19 03:31:40,240 - Model - INFO - Eval accuracy: 0.777980
2019-12-19 03:31:40,240 - Model - INFO - **** Epoch 461 (461/1024) ****
2019-12-19 03:31:40,240 - Model - INFO - Learning rate:0.000490
2019-12-19 03:31:58,106 - Model - INFO - Training mean loss: 0.305130
2019-12-19 03:31:58,106 - Model - INFO - Training accuracy: 0.899877
2019-12-19 03:31:58,106 - Model - INFO - Save model...
2019-12-19 03:31:58,106 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:31:58,156 - Model - INFO - Saving model....
2019-12-19 03:31:58,158 - Model - INFO - ---- EPOCH 461 EVALUATION ----
2019-12-19 03:32:06,574 - Model - INFO - Eval mean loss: 0.945672
2019-12-19 03:32:06,575 - Model - INFO - Eval accuracy: 0.747908
2019-12-19 03:32:06,575 - Model - INFO - **** Epoch 462 (462/1024) ****
2019-12-19 03:32:06,575 - Model - INFO - Learning rate:0.000490
2019-12-19 03:32:24,520 - Model - INFO - Training mean loss: 0.319586
2019-12-19 03:32:24,520 - Model - INFO - Training accuracy: 0.893660
2019-12-19 03:32:24,522 - Model - INFO - ---- EPOCH 462 EVALUATION ----
2019-12-19 03:32:32,957 - Model - INFO - Eval mean loss: 0.837738
2019-12-19 03:32:32,957 - Model - INFO - Eval accuracy: 0.754817
2019-12-19 03:32:32,957 - Model - INFO - **** Epoch 463 (463/1024) ****
2019-12-19 03:32:32,958 - Model - INFO - Learning rate:0.000490
2019-12-19 03:32:50,809 - Model - INFO - Training mean loss: 0.316795
2019-12-19 03:32:50,810 - Model - INFO - Training accuracy: 0.893966
2019-12-19 03:32:50,811 - Model - INFO - ---- EPOCH 463 EVALUATION ----
2019-12-19 03:32:59,286 - Model - INFO - Eval mean loss: 0.738040
2019-12-19 03:32:59,286 - Model - INFO - Eval accuracy: 0.770145
2019-12-19 03:32:59,286 - Model - INFO - **** Epoch 464 (464/1024) ****
2019-12-19 03:32:59,286 - Model - INFO - Learning rate:0.000490
2019-12-19 03:33:18,684 - Model - INFO - Training mean loss: 0.301357
2019-12-19 03:33:18,685 - Model - INFO - Training accuracy: 0.898910
2019-12-19 03:33:18,686 - Model - INFO - ---- EPOCH 464 EVALUATION ----
2019-12-19 03:33:27,295 - Model - INFO - Eval mean loss: 0.842502
2019-12-19 03:33:27,295 - Model - INFO - Eval accuracy: 0.752928
2019-12-19 03:33:27,295 - Model - INFO - **** Epoch 465 (465/1024) ****
2019-12-19 03:33:27,295 - Model - INFO - Learning rate:0.000490
2019-12-19 03:33:45,904 - Model - INFO - Training mean loss: 0.306237
2019-12-19 03:33:45,904 - Model - INFO - Training accuracy: 0.898002
2019-12-19 03:33:45,906 - Model - INFO - ---- EPOCH 465 EVALUATION ----
2019-12-19 03:33:54,461 - Model - INFO - Eval mean loss: 0.770181
2019-12-19 03:33:54,461 - Model - INFO - Eval accuracy: 0.767315
2019-12-19 03:33:54,461 - Model - INFO - **** Epoch 466 (466/1024) ****
2019-12-19 03:33:54,461 - Model - INFO - Learning rate:0.000490
2019-12-19 03:34:12,807 - Model - INFO - Training mean loss: 0.288361
2019-12-19 03:34:12,807 - Model - INFO - Training accuracy: 0.901666
2019-12-19 03:34:12,808 - Model - INFO - ---- EPOCH 466 EVALUATION ----
2019-12-19 03:34:21,188 - Model - INFO - Eval mean loss: 0.807991
2019-12-19 03:34:21,189 - Model - INFO - Eval accuracy: 0.769979
2019-12-19 03:34:21,189 - Model - INFO - **** Epoch 467 (467/1024) ****
2019-12-19 03:34:21,189 - Model - INFO - Learning rate:0.000490
2019-12-19 03:34:39,406 - Model - INFO - Training mean loss: 0.304286
2019-12-19 03:34:39,406 - Model - INFO - Training accuracy: 0.900434
2019-12-19 03:34:39,407 - Model - INFO - ---- EPOCH 467 EVALUATION ----
2019-12-19 03:34:47,750 - Model - INFO - Eval mean loss: 0.888494
2019-12-19 03:34:47,750 - Model - INFO - Eval accuracy: 0.751807
2019-12-19 03:34:47,750 - Model - INFO - **** Epoch 468 (468/1024) ****
2019-12-19 03:34:47,750 - Model - INFO - Learning rate:0.000490
2019-12-19 03:35:05,089 - Model - INFO - Training mean loss: 0.323720
2019-12-19 03:35:05,089 - Model - INFO - Training accuracy: 0.890598
2019-12-19 03:35:05,091 - Model - INFO - ---- EPOCH 468 EVALUATION ----
2019-12-19 03:35:13,455 - Model - INFO - Eval mean loss: 0.816863
2019-12-19 03:35:13,455 - Model - INFO - Eval accuracy: 0.767295
2019-12-19 03:35:13,455 - Model - INFO - **** Epoch 469 (469/1024) ****
2019-12-19 03:35:13,455 - Model - INFO - Learning rate:0.000490
2019-12-19 03:35:30,442 - Model - INFO - Training mean loss: 0.317915
2019-12-19 03:35:30,442 - Model - INFO - Training accuracy: 0.897754
2019-12-19 03:35:30,445 - Model - INFO - ---- EPOCH 469 EVALUATION ----
2019-12-19 03:35:39,071 - Model - INFO - Eval mean loss: 0.734209
2019-12-19 03:35:39,071 - Model - INFO - Eval accuracy: 0.774909
2019-12-19 03:35:39,071 - Model - INFO - **** Epoch 470 (470/1024) ****
2019-12-19 03:35:39,071 - Model - INFO - Learning rate:0.000490
2019-12-19 03:35:57,773 - Model - INFO - Training mean loss: 0.308090
2019-12-19 03:35:57,773 - Model - INFO - Training accuracy: 0.896193
2019-12-19 03:35:57,774 - Model - INFO - ---- EPOCH 470 EVALUATION ----
2019-12-19 03:36:06,197 - Model - INFO - Eval mean loss: 0.875730
2019-12-19 03:36:06,197 - Model - INFO - Eval accuracy: 0.761293
2019-12-19 03:36:06,198 - Model - INFO - **** Epoch 471 (471/1024) ****
2019-12-19 03:36:06,198 - Model - INFO - Learning rate:0.000490
2019-12-19 03:36:23,824 - Model - INFO - Training mean loss: 0.335701
2019-12-19 03:36:23,825 - Model - INFO - Training accuracy: 0.885666
2019-12-19 03:36:23,825 - Model - INFO - Save model...
2019-12-19 03:36:23,825 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:36:23,856 - Model - INFO - Saving model....
2019-12-19 03:36:23,857 - Model - INFO - ---- EPOCH 471 EVALUATION ----
2019-12-19 03:36:32,511 - Model - INFO - Eval mean loss: 0.723159
2019-12-19 03:36:32,511 - Model - INFO - Eval accuracy: 0.757448
2019-12-19 03:36:32,511 - Model - INFO - **** Epoch 472 (472/1024) ****
2019-12-19 03:36:32,511 - Model - INFO - Learning rate:0.000490
2019-12-19 03:36:51,338 - Model - INFO - Training mean loss: 0.331639
2019-12-19 03:36:51,339 - Model - INFO - Training accuracy: 0.894273
2019-12-19 03:36:51,340 - Model - INFO - ---- EPOCH 472 EVALUATION ----
2019-12-19 03:36:59,761 - Model - INFO - Eval mean loss: 0.788288
2019-12-19 03:36:59,761 - Model - INFO - Eval accuracy: 0.774207
2019-12-19 03:36:59,761 - Model - INFO - **** Epoch 473 (473/1024) ****
2019-12-19 03:36:59,761 - Model - INFO - Learning rate:0.000490
2019-12-19 03:37:17,534 - Model - INFO - Training mean loss: 0.306436
2019-12-19 03:37:17,534 - Model - INFO - Training accuracy: 0.898363
2019-12-19 03:37:17,536 - Model - INFO - ---- EPOCH 473 EVALUATION ----
2019-12-19 03:37:25,951 - Model - INFO - Eval mean loss: 0.890018
2019-12-19 03:37:25,951 - Model - INFO - Eval accuracy: 0.745305
2019-12-19 03:37:25,951 - Model - INFO - **** Epoch 474 (474/1024) ****
2019-12-19 03:37:25,951 - Model - INFO - Learning rate:0.000490
2019-12-19 03:37:43,681 - Model - INFO - Training mean loss: 0.298270
2019-12-19 03:37:43,681 - Model - INFO - Training accuracy: 0.899310
2019-12-19 03:37:43,682 - Model - INFO - ---- EPOCH 474 EVALUATION ----
2019-12-19 03:37:52,235 - Model - INFO - Eval mean loss: 0.760360
2019-12-19 03:37:52,236 - Model - INFO - Eval accuracy: 0.778356
2019-12-19 03:37:52,236 - Model - INFO - **** Epoch 475 (475/1024) ****
2019-12-19 03:37:52,236 - Model - INFO - Learning rate:0.000490
2019-12-19 03:38:10,748 - Model - INFO - Training mean loss: 0.310928
2019-12-19 03:38:10,748 - Model - INFO - Training accuracy: 0.893460
2019-12-19 03:38:10,750 - Model - INFO - ---- EPOCH 475 EVALUATION ----
2019-12-19 03:38:19,232 - Model - INFO - Eval mean loss: 0.867379
2019-12-19 03:38:19,232 - Model - INFO - Eval accuracy: 0.759893
2019-12-19 03:38:19,233 - Model - INFO - **** Epoch 476 (476/1024) ****
2019-12-19 03:38:19,233 - Model - INFO - Learning rate:0.000490
2019-12-19 03:38:36,784 - Model - INFO - Training mean loss: 0.347334
2019-12-19 03:38:36,784 - Model - INFO - Training accuracy: 0.889165
2019-12-19 03:38:36,786 - Model - INFO - ---- EPOCH 476 EVALUATION ----
2019-12-19 03:38:45,185 - Model - INFO - Eval mean loss: 0.735376
2019-12-19 03:38:45,185 - Model - INFO - Eval accuracy: 0.764103
2019-12-19 03:38:45,186 - Model - INFO - **** Epoch 477 (477/1024) ****
2019-12-19 03:38:45,186 - Model - INFO - Learning rate:0.000490
2019-12-19 03:39:05,779 - Model - INFO - Training mean loss: 0.321400
2019-12-19 03:39:05,779 - Model - INFO - Training accuracy: 0.888331
2019-12-19 03:39:05,781 - Model - INFO - ---- EPOCH 477 EVALUATION ----
2019-12-19 03:39:14,329 - Model - INFO - Eval mean loss: 0.610048
2019-12-19 03:39:14,330 - Model - INFO - Eval accuracy: 0.791429
2019-12-19 03:39:14,330 - Model - INFO - **** Epoch 478 (478/1024) ****
2019-12-19 03:39:14,330 - Model - INFO - Learning rate:0.000490
2019-12-19 03:39:32,776 - Model - INFO - Training mean loss: 0.330089
2019-12-19 03:39:32,777 - Model - INFO - Training accuracy: 0.894647
2019-12-19 03:39:32,779 - Model - INFO - ---- EPOCH 478 EVALUATION ----
2019-12-19 03:39:41,515 - Model - INFO - Eval mean loss: 0.936223
2019-12-19 03:39:41,515 - Model - INFO - Eval accuracy: 0.746419
2019-12-19 03:39:41,515 - Model - INFO - **** Epoch 479 (479/1024) ****
2019-12-19 03:39:41,515 - Model - INFO - Learning rate:0.000490
2019-12-19 03:39:58,750 - Model - INFO - Training mean loss: 0.314462
2019-12-19 03:39:58,750 - Model - INFO - Training accuracy: 0.896465
2019-12-19 03:39:58,752 - Model - INFO - ---- EPOCH 479 EVALUATION ----
2019-12-19 03:40:07,188 - Model - INFO - Eval mean loss: 0.675960
2019-12-19 03:40:07,188 - Model - INFO - Eval accuracy: 0.780845
2019-12-19 03:40:07,188 - Model - INFO - **** Epoch 480 (480/1024) ****
2019-12-19 03:40:07,188 - Model - INFO - Learning rate:0.000490
2019-12-19 03:40:26,253 - Model - INFO - Training mean loss: 0.301812
2019-12-19 03:40:26,254 - Model - INFO - Training accuracy: 0.897818
2019-12-19 03:40:26,255 - Model - INFO - ---- EPOCH 480 EVALUATION ----
2019-12-19 03:40:34,761 - Model - INFO - Eval mean loss: 0.744003
2019-12-19 03:40:34,762 - Model - INFO - Eval accuracy: 0.766639
2019-12-19 03:40:34,762 - Model - INFO - **** Epoch 481 (481/1024) ****
2019-12-19 03:40:34,762 - Model - INFO - Learning rate:0.000490
2019-12-19 03:40:52,878 - Model - INFO - Training mean loss: 0.313485
2019-12-19 03:40:52,878 - Model - INFO - Training accuracy: 0.897980
2019-12-19 03:40:52,878 - Model - INFO - Save model...
2019-12-19 03:40:52,878 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:40:52,902 - Model - INFO - Saving model....
2019-12-19 03:40:52,904 - Model - INFO - ---- EPOCH 481 EVALUATION ----
2019-12-19 03:41:01,424 - Model - INFO - Eval mean loss: 0.676863
2019-12-19 03:41:01,424 - Model - INFO - Eval accuracy: 0.780160
2019-12-19 03:41:01,424 - Model - INFO - **** Epoch 482 (482/1024) ****
2019-12-19 03:41:01,425 - Model - INFO - Learning rate:0.000490
2019-12-19 03:41:21,962 - Model - INFO - Training mean loss: 0.304910
2019-12-19 03:41:21,962 - Model - INFO - Training accuracy: 0.902185
2019-12-19 03:41:21,964 - Model - INFO - ---- EPOCH 482 EVALUATION ----
2019-12-19 03:41:30,581 - Model - INFO - Eval mean loss: 0.850585
2019-12-19 03:41:30,581 - Model - INFO - Eval accuracy: 0.754244
2019-12-19 03:41:30,581 - Model - INFO - **** Epoch 483 (483/1024) ****
2019-12-19 03:41:30,581 - Model - INFO - Learning rate:0.000490
2019-12-19 03:41:48,549 - Model - INFO - Training mean loss: 0.304790
2019-12-19 03:41:48,550 - Model - INFO - Training accuracy: 0.895970
2019-12-19 03:41:48,551 - Model - INFO - ---- EPOCH 483 EVALUATION ----
2019-12-19 03:41:56,971 - Model - INFO - Eval mean loss: 1.016321
2019-12-19 03:41:56,971 - Model - INFO - Eval accuracy: 0.757726
2019-12-19 03:41:56,971 - Model - INFO - **** Epoch 484 (484/1024) ****
2019-12-19 03:41:56,971 - Model - INFO - Learning rate:0.000490
2019-12-19 03:42:15,104 - Model - INFO - Training mean loss: 0.291718
2019-12-19 03:42:15,104 - Model - INFO - Training accuracy: 0.903392
2019-12-19 03:42:15,106 - Model - INFO - ---- EPOCH 484 EVALUATION ----
2019-12-19 03:42:23,674 - Model - INFO - Eval mean loss: 0.939994
2019-12-19 03:42:23,674 - Model - INFO - Eval accuracy: 0.761220
2019-12-19 03:42:23,674 - Model - INFO - **** Epoch 485 (485/1024) ****
2019-12-19 03:42:23,675 - Model - INFO - Learning rate:0.000490
2019-12-19 03:42:41,403 - Model - INFO - Training mean loss: 0.326649
2019-12-19 03:42:41,403 - Model - INFO - Training accuracy: 0.888663
2019-12-19 03:42:41,405 - Model - INFO - ---- EPOCH 485 EVALUATION ----
2019-12-19 03:42:49,876 - Model - INFO - Eval mean loss: 0.803582
2019-12-19 03:42:49,876 - Model - INFO - Eval accuracy: 0.756890
2019-12-19 03:42:49,876 - Model - INFO - **** Epoch 486 (486/1024) ****
2019-12-19 03:42:49,876 - Model - INFO - Learning rate:0.000490
2019-12-19 03:43:08,909 - Model - INFO - Training mean loss: 0.333240
2019-12-19 03:43:08,909 - Model - INFO - Training accuracy: 0.890666
2019-12-19 03:43:08,911 - Model - INFO - ---- EPOCH 486 EVALUATION ----
2019-12-19 03:43:17,381 - Model - INFO - Eval mean loss: 0.842276
2019-12-19 03:43:17,382 - Model - INFO - Eval accuracy: 0.767149
2019-12-19 03:43:17,382 - Model - INFO - **** Epoch 487 (487/1024) ****
2019-12-19 03:43:17,382 - Model - INFO - Learning rate:0.000490
2019-12-19 03:43:35,726 - Model - INFO - Training mean loss: 0.317489
2019-12-19 03:43:35,726 - Model - INFO - Training accuracy: 0.889384
2019-12-19 03:43:35,728 - Model - INFO - ---- EPOCH 487 EVALUATION ----
2019-12-19 03:43:44,302 - Model - INFO - Eval mean loss: 0.813994
2019-12-19 03:43:44,303 - Model - INFO - Eval accuracy: 0.751370
2019-12-19 03:43:44,303 - Model - INFO - **** Epoch 488 (488/1024) ****
2019-12-19 03:43:44,303 - Model - INFO - Learning rate:0.000490
2019-12-19 03:44:02,938 - Model - INFO - Training mean loss: 0.290846
2019-12-19 03:44:02,938 - Model - INFO - Training accuracy: 0.903283
2019-12-19 03:44:02,940 - Model - INFO - ---- EPOCH 488 EVALUATION ----
2019-12-19 03:44:11,428 - Model - INFO - Eval mean loss: 0.727837
2019-12-19 03:44:11,428 - Model - INFO - Eval accuracy: 0.770503
2019-12-19 03:44:11,428 - Model - INFO - **** Epoch 489 (489/1024) ****
2019-12-19 03:44:11,429 - Model - INFO - Learning rate:0.000490
2019-12-19 03:44:29,950 - Model - INFO - Training mean loss: 0.314032
2019-12-19 03:44:29,951 - Model - INFO - Training accuracy: 0.896501
2019-12-19 03:44:29,952 - Model - INFO - ---- EPOCH 489 EVALUATION ----
2019-12-19 03:44:38,387 - Model - INFO - Eval mean loss: 0.858533
2019-12-19 03:44:38,387 - Model - INFO - Eval accuracy: 0.761278
2019-12-19 03:44:38,388 - Model - INFO - **** Epoch 490 (490/1024) ****
2019-12-19 03:44:38,388 - Model - INFO - Learning rate:0.000490
2019-12-19 03:44:57,093 - Model - INFO - Training mean loss: 0.314215
2019-12-19 03:44:57,094 - Model - INFO - Training accuracy: 0.896824
2019-12-19 03:44:57,096 - Model - INFO - ---- EPOCH 490 EVALUATION ----
2019-12-19 03:45:05,812 - Model - INFO - Eval mean loss: 0.766090
2019-12-19 03:45:05,812 - Model - INFO - Eval accuracy: 0.771020
2019-12-19 03:45:05,812 - Model - INFO - **** Epoch 491 (491/1024) ****
2019-12-19 03:45:05,812 - Model - INFO - Learning rate:0.000490
2019-12-19 03:45:24,474 - Model - INFO - Training mean loss: 0.316101
2019-12-19 03:45:24,474 - Model - INFO - Training accuracy: 0.897088
2019-12-19 03:45:24,474 - Model - INFO - Save model...
2019-12-19 03:45:24,475 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:45:24,502 - Model - INFO - Saving model....
2019-12-19 03:45:24,503 - Model - INFO - ---- EPOCH 491 EVALUATION ----
2019-12-19 03:45:32,891 - Model - INFO - Eval mean loss: 0.854568
2019-12-19 03:45:32,892 - Model - INFO - Eval accuracy: 0.764233
2019-12-19 03:45:32,892 - Model - INFO - **** Epoch 492 (492/1024) ****
2019-12-19 03:45:32,892 - Model - INFO - Learning rate:0.000490
2019-12-19 03:45:51,221 - Model - INFO - Training mean loss: 0.288104
2019-12-19 03:45:51,221 - Model - INFO - Training accuracy: 0.903767
2019-12-19 03:45:51,223 - Model - INFO - ---- EPOCH 492 EVALUATION ----
2019-12-19 03:45:59,612 - Model - INFO - Eval mean loss: 0.675751
2019-12-19 03:45:59,612 - Model - INFO - Eval accuracy: 0.788778
2019-12-19 03:45:59,613 - Model - INFO - **** Epoch 493 (493/1024) ****
2019-12-19 03:45:59,613 - Model - INFO - Learning rate:0.000490
2019-12-19 03:46:17,867 - Model - INFO - Training mean loss: 0.287010
2019-12-19 03:46:17,868 - Model - INFO - Training accuracy: 0.903437
2019-12-19 03:46:17,869 - Model - INFO - ---- EPOCH 493 EVALUATION ----
2019-12-19 03:46:26,353 - Model - INFO - Eval mean loss: 0.810326
2019-12-19 03:46:26,353 - Model - INFO - Eval accuracy: 0.758067
2019-12-19 03:46:26,354 - Model - INFO - **** Epoch 494 (494/1024) ****
2019-12-19 03:46:26,354 - Model - INFO - Learning rate:0.000490
2019-12-19 03:46:46,055 - Model - INFO - Training mean loss: 0.293945
2019-12-19 03:46:46,055 - Model - INFO - Training accuracy: 0.902064
2019-12-19 03:46:46,057 - Model - INFO - ---- EPOCH 494 EVALUATION ----
2019-12-19 03:46:54,715 - Model - INFO - Eval mean loss: 0.727983
2019-12-19 03:46:54,716 - Model - INFO - Eval accuracy: 0.777001
2019-12-19 03:46:54,716 - Model - INFO - **** Epoch 495 (495/1024) ****
2019-12-19 03:46:54,716 - Model - INFO - Learning rate:0.000490
2019-12-19 03:47:12,224 - Model - INFO - Training mean loss: 0.321425
2019-12-19 03:47:12,224 - Model - INFO - Training accuracy: 0.894832
2019-12-19 03:47:12,226 - Model - INFO - ---- EPOCH 495 EVALUATION ----
2019-12-19 03:47:20,751 - Model - INFO - Eval mean loss: 0.823544
2019-12-19 03:47:20,751 - Model - INFO - Eval accuracy: 0.733075
2019-12-19 03:47:20,751 - Model - INFO - **** Epoch 496 (496/1024) ****
2019-12-19 03:47:20,751 - Model - INFO - Learning rate:0.000490
2019-12-19 03:47:39,142 - Model - INFO - Training mean loss: 0.319788
2019-12-19 03:47:39,142 - Model - INFO - Training accuracy: 0.891454
2019-12-19 03:47:39,144 - Model - INFO - ---- EPOCH 496 EVALUATION ----
2019-12-19 03:47:47,842 - Model - INFO - Eval mean loss: 0.766977
2019-12-19 03:47:47,843 - Model - INFO - Eval accuracy: 0.777393
2019-12-19 03:47:47,843 - Model - INFO - **** Epoch 497 (497/1024) ****
2019-12-19 03:47:47,843 - Model - INFO - Learning rate:0.000490
2019-12-19 03:48:06,133 - Model - INFO - Training mean loss: 0.295324
2019-12-19 03:48:06,133 - Model - INFO - Training accuracy: 0.902855
2019-12-19 03:48:06,135 - Model - INFO - ---- EPOCH 497 EVALUATION ----
2019-12-19 03:48:14,655 - Model - INFO - Eval mean loss: 0.614805
2019-12-19 03:48:14,656 - Model - INFO - Eval accuracy: 0.796439
2019-12-19 03:48:14,656 - Model - INFO - **** Epoch 498 (498/1024) ****
2019-12-19 03:48:14,656 - Model - INFO - Learning rate:0.000490
2019-12-19 03:48:34,541 - Model - INFO - Training mean loss: 0.297373
2019-12-19 03:48:34,542 - Model - INFO - Training accuracy: 0.900095
2019-12-19 03:48:34,544 - Model - INFO - ---- EPOCH 498 EVALUATION ----
2019-12-19 03:48:43,190 - Model - INFO - Eval mean loss: 0.840390
2019-12-19 03:48:43,190 - Model - INFO - Eval accuracy: 0.750234
2019-12-19 03:48:43,190 - Model - INFO - **** Epoch 499 (499/1024) ****
2019-12-19 03:48:43,190 - Model - INFO - Learning rate:0.000490
2019-12-19 03:49:00,291 - Model - INFO - Training mean loss: 0.287032
2019-12-19 03:49:00,292 - Model - INFO - Training accuracy: 0.903904
2019-12-19 03:49:00,293 - Model - INFO - ---- EPOCH 499 EVALUATION ----
2019-12-19 03:49:08,906 - Model - INFO - Eval mean loss: 0.765996
2019-12-19 03:49:08,906 - Model - INFO - Eval accuracy: 0.773605
2019-12-19 03:49:08,906 - Model - INFO - **** Epoch 500 (500/1024) ****
2019-12-19 03:49:08,907 - Model - INFO - Learning rate:0.000490
2019-12-19 03:49:26,855 - Model - INFO - Training mean loss: 0.316752
2019-12-19 03:49:26,855 - Model - INFO - Training accuracy: 0.899412
2019-12-19 03:49:26,857 - Model - INFO - ---- EPOCH 500 EVALUATION ----
2019-12-19 03:49:35,486 - Model - INFO - Eval mean loss: 0.734398
2019-12-19 03:49:35,486 - Model - INFO - Eval accuracy: 0.768745
2019-12-19 03:49:35,486 - Model - INFO - **** Epoch 501 (501/1024) ****
2019-12-19 03:49:35,486 - Model - INFO - Learning rate:0.000490
2019-12-19 03:49:53,464 - Model - INFO - Training mean loss: 0.298085
2019-12-19 03:49:53,464 - Model - INFO - Training accuracy: 0.898874
2019-12-19 03:49:53,464 - Model - INFO - Save model...
2019-12-19 03:49:53,464 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:49:53,488 - Model - INFO - Saving model....
2019-12-19 03:49:53,489 - Model - INFO - ---- EPOCH 501 EVALUATION ----
2019-12-19 03:50:01,982 - Model - INFO - Eval mean loss: 0.793194
2019-12-19 03:50:01,982 - Model - INFO - Eval accuracy: 0.778904
2019-12-19 03:50:01,982 - Model - INFO - **** Epoch 502 (502/1024) ****
2019-12-19 03:50:01,982 - Model - INFO - Learning rate:0.000490
2019-12-19 03:50:19,767 - Model - INFO - Training mean loss: 0.300467
2019-12-19 03:50:19,767 - Model - INFO - Training accuracy: 0.903305
2019-12-19 03:50:19,768 - Model - INFO - ---- EPOCH 502 EVALUATION ----
2019-12-19 03:50:28,161 - Model - INFO - Eval mean loss: 0.846593
2019-12-19 03:50:28,161 - Model - INFO - Eval accuracy: 0.775433
2019-12-19 03:50:28,162 - Model - INFO - **** Epoch 503 (503/1024) ****
2019-12-19 03:50:28,162 - Model - INFO - Learning rate:0.000490
2019-12-19 03:50:47,151 - Model - INFO - Training mean loss: 0.308929
2019-12-19 03:50:47,151 - Model - INFO - Training accuracy: 0.897914
2019-12-19 03:50:47,152 - Model - INFO - ---- EPOCH 503 EVALUATION ----
2019-12-19 03:50:55,851 - Model - INFO - Eval mean loss: 0.768737
2019-12-19 03:50:55,851 - Model - INFO - Eval accuracy: 0.766388
2019-12-19 03:50:55,851 - Model - INFO - **** Epoch 504 (504/1024) ****
2019-12-19 03:50:55,851 - Model - INFO - Learning rate:0.000490
2019-12-19 03:51:14,877 - Model - INFO - Training mean loss: 0.299717
2019-12-19 03:51:14,877 - Model - INFO - Training accuracy: 0.897564
2019-12-19 03:51:14,879 - Model - INFO - ---- EPOCH 504 EVALUATION ----
2019-12-19 03:51:23,395 - Model - INFO - Eval mean loss: 0.859624
2019-12-19 03:51:23,396 - Model - INFO - Eval accuracy: 0.768139
2019-12-19 03:51:23,396 - Model - INFO - **** Epoch 505 (505/1024) ****
2019-12-19 03:51:23,396 - Model - INFO - Learning rate:0.000490
2019-12-19 03:51:42,449 - Model - INFO - Training mean loss: 0.308220
2019-12-19 03:51:42,449 - Model - INFO - Training accuracy: 0.897124
2019-12-19 03:51:42,451 - Model - INFO - ---- EPOCH 505 EVALUATION ----
2019-12-19 03:51:50,812 - Model - INFO - Eval mean loss: 0.812330
2019-12-19 03:51:50,813 - Model - INFO - Eval accuracy: 0.757295
2019-12-19 03:51:50,813 - Model - INFO - **** Epoch 506 (506/1024) ****
2019-12-19 03:51:50,813 - Model - INFO - Learning rate:0.000490
2019-12-19 03:52:09,124 - Model - INFO - Training mean loss: 0.303922
2019-12-19 03:52:09,124 - Model - INFO - Training accuracy: 0.897606
2019-12-19 03:52:09,126 - Model - INFO - ---- EPOCH 506 EVALUATION ----
2019-12-19 03:52:17,635 - Model - INFO - Eval mean loss: 0.841330
2019-12-19 03:52:17,636 - Model - INFO - Eval accuracy: 0.768092
2019-12-19 03:52:17,636 - Model - INFO - **** Epoch 507 (507/1024) ****
2019-12-19 03:52:17,636 - Model - INFO - Learning rate:0.000490
2019-12-19 03:52:36,029 - Model - INFO - Training mean loss: 0.302137
2019-12-19 03:52:36,029 - Model - INFO - Training accuracy: 0.898575
2019-12-19 03:52:36,031 - Model - INFO - ---- EPOCH 507 EVALUATION ----
2019-12-19 03:52:44,542 - Model - INFO - Eval mean loss: 0.903440
2019-12-19 03:52:44,542 - Model - INFO - Eval accuracy: 0.748416
2019-12-19 03:52:44,543 - Model - INFO - **** Epoch 508 (508/1024) ****
2019-12-19 03:52:44,543 - Model - INFO - Learning rate:0.000490
2019-12-19 03:53:03,509 - Model - INFO - Training mean loss: 0.301863
2019-12-19 03:53:03,509 - Model - INFO - Training accuracy: 0.902723
2019-12-19 03:53:03,510 - Model - INFO - ---- EPOCH 508 EVALUATION ----
2019-12-19 03:53:11,942 - Model - INFO - Eval mean loss: 0.940390
2019-12-19 03:53:11,942 - Model - INFO - Eval accuracy: 0.763168
2019-12-19 03:53:11,942 - Model - INFO - **** Epoch 509 (509/1024) ****
2019-12-19 03:53:11,943 - Model - INFO - Learning rate:0.000490
2019-12-19 03:53:29,618 - Model - INFO - Training mean loss: 0.282662
2019-12-19 03:53:29,618 - Model - INFO - Training accuracy: 0.909824
2019-12-19 03:53:29,619 - Model - INFO - ---- EPOCH 509 EVALUATION ----
2019-12-19 03:53:38,136 - Model - INFO - Eval mean loss: 0.825070
2019-12-19 03:53:38,136 - Model - INFO - Eval accuracy: 0.777946
2019-12-19 03:53:38,136 - Model - INFO - **** Epoch 510 (510/1024) ****
2019-12-19 03:53:38,136 - Model - INFO - Learning rate:0.000490
2019-12-19 03:53:57,214 - Model - INFO - Training mean loss: 0.326580
2019-12-19 03:53:57,215 - Model - INFO - Training accuracy: 0.892128
2019-12-19 03:53:57,217 - Model - INFO - ---- EPOCH 510 EVALUATION ----
2019-12-19 03:54:05,819 - Model - INFO - Eval mean loss: 0.947520
2019-12-19 03:54:05,819 - Model - INFO - Eval accuracy: 0.756851
2019-12-19 03:54:05,819 - Model - INFO - **** Epoch 511 (511/1024) ****
2019-12-19 03:54:05,819 - Model - INFO - Learning rate:0.000490
2019-12-19 03:54:24,555 - Model - INFO - Training mean loss: 0.284766
2019-12-19 03:54:24,555 - Model - INFO - Training accuracy: 0.903957
2019-12-19 03:54:24,555 - Model - INFO - Save model...
2019-12-19 03:54:24,555 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:54:24,578 - Model - INFO - Saving model....
2019-12-19 03:54:24,580 - Model - INFO - ---- EPOCH 511 EVALUATION ----
2019-12-19 03:54:32,908 - Model - INFO - Eval mean loss: 0.977798
2019-12-19 03:54:32,908 - Model - INFO - Eval accuracy: 0.747786
2019-12-19 03:54:32,908 - Model - INFO - **** Epoch 512 (512/1024) ****
2019-12-19 03:54:32,908 - Model - INFO - Learning rate:0.000490
2019-12-19 03:54:51,102 - Model - INFO - Training mean loss: 0.302182
2019-12-19 03:54:51,103 - Model - INFO - Training accuracy: 0.904901
2019-12-19 03:54:51,104 - Model - INFO - ---- EPOCH 512 EVALUATION ----
2019-12-19 03:54:59,621 - Model - INFO - Eval mean loss: 0.965419
2019-12-19 03:54:59,621 - Model - INFO - Eval accuracy: 0.750302
2019-12-19 03:54:59,621 - Model - INFO - **** Epoch 513 (513/1024) ****
2019-12-19 03:54:59,621 - Model - INFO - Learning rate:0.000490
2019-12-19 03:55:18,928 - Model - INFO - Training mean loss: 0.315596
2019-12-19 03:55:18,928 - Model - INFO - Training accuracy: 0.892669
2019-12-19 03:55:18,929 - Model - INFO - ---- EPOCH 513 EVALUATION ----
2019-12-19 03:55:27,318 - Model - INFO - Eval mean loss: 0.890236
2019-12-19 03:55:27,318 - Model - INFO - Eval accuracy: 0.732123
2019-12-19 03:55:27,318 - Model - INFO - **** Epoch 514 (514/1024) ****
2019-12-19 03:55:27,318 - Model - INFO - Learning rate:0.000490
2019-12-19 03:55:44,781 - Model - INFO - Training mean loss: 0.306885
2019-12-19 03:55:44,782 - Model - INFO - Training accuracy: 0.896381
2019-12-19 03:55:44,783 - Model - INFO - ---- EPOCH 514 EVALUATION ----
2019-12-19 03:55:53,164 - Model - INFO - Eval mean loss: 0.810430
2019-12-19 03:55:53,164 - Model - INFO - Eval accuracy: 0.757538
2019-12-19 03:55:53,164 - Model - INFO - **** Epoch 515 (515/1024) ****
2019-12-19 03:55:53,164 - Model - INFO - Learning rate:0.000490
2019-12-19 03:56:11,109 - Model - INFO - Training mean loss: 0.324813
2019-12-19 03:56:11,109 - Model - INFO - Training accuracy: 0.892670
2019-12-19 03:56:11,110 - Model - INFO - ---- EPOCH 515 EVALUATION ----
2019-12-19 03:56:19,527 - Model - INFO - Eval mean loss: 0.696336
2019-12-19 03:56:19,528 - Model - INFO - Eval accuracy: 0.760583
2019-12-19 03:56:19,528 - Model - INFO - **** Epoch 516 (516/1024) ****
2019-12-19 03:56:19,528 - Model - INFO - Learning rate:0.000490
2019-12-19 03:56:38,271 - Model - INFO - Training mean loss: 0.325281
2019-12-19 03:56:38,271 - Model - INFO - Training accuracy: 0.892823
2019-12-19 03:56:38,273 - Model - INFO - ---- EPOCH 516 EVALUATION ----
2019-12-19 03:56:46,847 - Model - INFO - Eval mean loss: 0.898966
2019-12-19 03:56:46,847 - Model - INFO - Eval accuracy: 0.745392
2019-12-19 03:56:46,848 - Model - INFO - **** Epoch 517 (517/1024) ****
2019-12-19 03:56:46,848 - Model - INFO - Learning rate:0.000490
2019-12-19 03:57:05,680 - Model - INFO - Training mean loss: 0.318401
2019-12-19 03:57:05,680 - Model - INFO - Training accuracy: 0.897252
2019-12-19 03:57:05,682 - Model - INFO - ---- EPOCH 517 EVALUATION ----
2019-12-19 03:57:14,260 - Model - INFO - Eval mean loss: 0.886688
2019-12-19 03:57:14,260 - Model - INFO - Eval accuracy: 0.759583
2019-12-19 03:57:14,261 - Model - INFO - **** Epoch 518 (518/1024) ****
2019-12-19 03:57:14,261 - Model - INFO - Learning rate:0.000490
2019-12-19 03:57:32,956 - Model - INFO - Training mean loss: 0.312304
2019-12-19 03:57:32,956 - Model - INFO - Training accuracy: 0.897345
2019-12-19 03:57:32,958 - Model - INFO - ---- EPOCH 518 EVALUATION ----
2019-12-19 03:57:41,278 - Model - INFO - Eval mean loss: 0.725310
2019-12-19 03:57:41,278 - Model - INFO - Eval accuracy: 0.792974
2019-12-19 03:57:41,278 - Model - INFO - **** Epoch 519 (519/1024) ****
2019-12-19 03:57:41,278 - Model - INFO - Learning rate:0.000490
2019-12-19 03:57:58,919 - Model - INFO - Training mean loss: 0.313807
2019-12-19 03:57:58,919 - Model - INFO - Training accuracy: 0.897929
2019-12-19 03:57:58,920 - Model - INFO - ---- EPOCH 519 EVALUATION ----
2019-12-19 03:58:07,232 - Model - INFO - Eval mean loss: 0.854214
2019-12-19 03:58:07,232 - Model - INFO - Eval accuracy: 0.758123
2019-12-19 03:58:07,232 - Model - INFO - **** Epoch 520 (520/1024) ****
2019-12-19 03:58:07,232 - Model - INFO - Learning rate:0.000490
2019-12-19 03:58:26,144 - Model - INFO - Training mean loss: 0.317676
2019-12-19 03:58:26,144 - Model - INFO - Training accuracy: 0.896694
2019-12-19 03:58:26,146 - Model - INFO - ---- EPOCH 520 EVALUATION ----
2019-12-19 03:58:34,608 - Model - INFO - Eval mean loss: 0.728619
2019-12-19 03:58:34,608 - Model - INFO - Eval accuracy: 0.777000
2019-12-19 03:58:34,608 - Model - INFO - **** Epoch 521 (521/1024) ****
2019-12-19 03:58:34,608 - Model - INFO - Learning rate:0.000490
2019-12-19 03:58:52,391 - Model - INFO - Training mean loss: 0.285724
2019-12-19 03:58:52,391 - Model - INFO - Training accuracy: 0.900372
2019-12-19 03:58:52,391 - Model - INFO - Save model...
2019-12-19 03:58:52,391 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 03:58:52,416 - Model - INFO - Saving model....
2019-12-19 03:58:52,418 - Model - INFO - ---- EPOCH 521 EVALUATION ----
2019-12-19 03:59:00,839 - Model - INFO - Eval mean loss: 0.842605
2019-12-19 03:59:00,839 - Model - INFO - Eval accuracy: 0.773519
2019-12-19 03:59:00,840 - Model - INFO - **** Epoch 522 (522/1024) ****
2019-12-19 03:59:00,840 - Model - INFO - Learning rate:0.000490
2019-12-19 03:59:18,254 - Model - INFO - Training mean loss: 0.308020
2019-12-19 03:59:18,255 - Model - INFO - Training accuracy: 0.900425
2019-12-19 03:59:18,257 - Model - INFO - ---- EPOCH 522 EVALUATION ----
2019-12-19 03:59:26,859 - Model - INFO - Eval mean loss: 0.735255
2019-12-19 03:59:26,859 - Model - INFO - Eval accuracy: 0.781652
2019-12-19 03:59:26,859 - Model - INFO - **** Epoch 523 (523/1024) ****
2019-12-19 03:59:26,860 - Model - INFO - Learning rate:0.000490
2019-12-19 03:59:45,074 - Model - INFO - Training mean loss: 0.329489
2019-12-19 03:59:45,074 - Model - INFO - Training accuracy: 0.887399
2019-12-19 03:59:45,075 - Model - INFO - ---- EPOCH 523 EVALUATION ----
2019-12-19 03:59:53,499 - Model - INFO - Eval mean loss: 0.932069
2019-12-19 03:59:53,499 - Model - INFO - Eval accuracy: 0.747833
2019-12-19 03:59:53,499 - Model - INFO - **** Epoch 524 (524/1024) ****
2019-12-19 03:59:53,499 - Model - INFO - Learning rate:0.000490
2019-12-19 04:00:11,511 - Model - INFO - Training mean loss: 0.324331
2019-12-19 04:00:11,511 - Model - INFO - Training accuracy: 0.894918
2019-12-19 04:00:11,514 - Model - INFO - ---- EPOCH 524 EVALUATION ----
2019-12-19 04:00:19,980 - Model - INFO - Eval mean loss: 0.840643
2019-12-19 04:00:19,980 - Model - INFO - Eval accuracy: 0.746334
2019-12-19 04:00:19,981 - Model - INFO - **** Epoch 525 (525/1024) ****
2019-12-19 04:00:19,981 - Model - INFO - Learning rate:0.000490
2019-12-19 04:00:38,114 - Model - INFO - Training mean loss: 0.315671
2019-12-19 04:00:38,115 - Model - INFO - Training accuracy: 0.898707
2019-12-19 04:00:38,116 - Model - INFO - ---- EPOCH 525 EVALUATION ----
2019-12-19 04:00:46,575 - Model - INFO - Eval mean loss: 0.960336
2019-12-19 04:00:46,575 - Model - INFO - Eval accuracy: 0.761008
2019-12-19 04:00:46,575 - Model - INFO - **** Epoch 526 (526/1024) ****
2019-12-19 04:00:46,575 - Model - INFO - Learning rate:0.000490
2019-12-19 04:01:05,457 - Model - INFO - Training mean loss: 0.290531
2019-12-19 04:01:05,458 - Model - INFO - Training accuracy: 0.900933
2019-12-19 04:01:05,459 - Model - INFO - ---- EPOCH 526 EVALUATION ----
2019-12-19 04:01:14,160 - Model - INFO - Eval mean loss: 0.888443
2019-12-19 04:01:14,161 - Model - INFO - Eval accuracy: 0.766842
2019-12-19 04:01:14,161 - Model - INFO - **** Epoch 527 (527/1024) ****
2019-12-19 04:01:14,161 - Model - INFO - Learning rate:0.000490
2019-12-19 04:01:31,911 - Model - INFO - Training mean loss: 0.301193
2019-12-19 04:01:31,911 - Model - INFO - Training accuracy: 0.902976
2019-12-19 04:01:31,913 - Model - INFO - ---- EPOCH 527 EVALUATION ----
2019-12-19 04:01:40,430 - Model - INFO - Eval mean loss: 0.736494
2019-12-19 04:01:40,430 - Model - INFO - Eval accuracy: 0.784209
2019-12-19 04:01:40,430 - Model - INFO - **** Epoch 528 (528/1024) ****
2019-12-19 04:01:40,430 - Model - INFO - Learning rate:0.000490
2019-12-19 04:01:59,431 - Model - INFO - Training mean loss: 0.283609
2019-12-19 04:01:59,431 - Model - INFO - Training accuracy: 0.905625
2019-12-19 04:01:59,432 - Model - INFO - ---- EPOCH 528 EVALUATION ----
2019-12-19 04:02:07,800 - Model - INFO - Eval mean loss: 0.689027
2019-12-19 04:02:07,800 - Model - INFO - Eval accuracy: 0.789030
2019-12-19 04:02:07,800 - Model - INFO - **** Epoch 529 (529/1024) ****
2019-12-19 04:02:07,800 - Model - INFO - Learning rate:0.000490
2019-12-19 04:02:25,870 - Model - INFO - Training mean loss: 0.318608
2019-12-19 04:02:25,870 - Model - INFO - Training accuracy: 0.894616
2019-12-19 04:02:25,872 - Model - INFO - ---- EPOCH 529 EVALUATION ----
2019-12-19 04:02:34,350 - Model - INFO - Eval mean loss: 0.834009
2019-12-19 04:02:34,350 - Model - INFO - Eval accuracy: 0.769606
2019-12-19 04:02:34,350 - Model - INFO - **** Epoch 530 (530/1024) ****
2019-12-19 04:02:34,350 - Model - INFO - Learning rate:0.000490
2019-12-19 04:02:52,329 - Model - INFO - Training mean loss: 0.319237
2019-12-19 04:02:52,329 - Model - INFO - Training accuracy: 0.889689
2019-12-19 04:02:52,330 - Model - INFO - ---- EPOCH 530 EVALUATION ----
2019-12-19 04:03:00,906 - Model - INFO - Eval mean loss: 0.732055
2019-12-19 04:03:00,907 - Model - INFO - Eval accuracy: 0.768338
2019-12-19 04:03:00,907 - Model - INFO - **** Epoch 531 (531/1024) ****
2019-12-19 04:03:00,907 - Model - INFO - Learning rate:0.000490
2019-12-19 04:03:18,664 - Model - INFO - Training mean loss: 0.305468
2019-12-19 04:03:18,664 - Model - INFO - Training accuracy: 0.899036
2019-12-19 04:03:18,664 - Model - INFO - Save model...
2019-12-19 04:03:18,665 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:03:18,708 - Model - INFO - Saving model....
2019-12-19 04:03:18,710 - Model - INFO - ---- EPOCH 531 EVALUATION ----
2019-12-19 04:03:27,415 - Model - INFO - Eval mean loss: 0.885980
2019-12-19 04:03:27,415 - Model - INFO - Eval accuracy: 0.759132
2019-12-19 04:03:27,416 - Model - INFO - **** Epoch 532 (532/1024) ****
2019-12-19 04:03:27,416 - Model - INFO - Learning rate:0.000490
2019-12-19 04:03:45,522 - Model - INFO - Training mean loss: 0.289795
2019-12-19 04:03:45,522 - Model - INFO - Training accuracy: 0.900538
2019-12-19 04:03:45,524 - Model - INFO - ---- EPOCH 532 EVALUATION ----
2019-12-19 04:03:53,995 - Model - INFO - Eval mean loss: 0.894934
2019-12-19 04:03:53,995 - Model - INFO - Eval accuracy: 0.751584
2019-12-19 04:03:53,995 - Model - INFO - **** Epoch 533 (533/1024) ****
2019-12-19 04:03:53,995 - Model - INFO - Learning rate:0.000490
2019-12-19 04:04:11,971 - Model - INFO - Training mean loss: 0.299404
2019-12-19 04:04:11,972 - Model - INFO - Training accuracy: 0.901577
2019-12-19 04:04:11,974 - Model - INFO - ---- EPOCH 533 EVALUATION ----
2019-12-19 04:04:20,501 - Model - INFO - Eval mean loss: 0.736815
2019-12-19 04:04:20,502 - Model - INFO - Eval accuracy: 0.776627
2019-12-19 04:04:20,502 - Model - INFO - **** Epoch 534 (534/1024) ****
2019-12-19 04:04:20,502 - Model - INFO - Learning rate:0.000490
2019-12-19 04:04:38,105 - Model - INFO - Training mean loss: 0.277076
2019-12-19 04:04:38,106 - Model - INFO - Training accuracy: 0.910892
2019-12-19 04:04:38,107 - Model - INFO - ---- EPOCH 534 EVALUATION ----
2019-12-19 04:04:46,550 - Model - INFO - Eval mean loss: 0.900838
2019-12-19 04:04:46,550 - Model - INFO - Eval accuracy: 0.774641
2019-12-19 04:04:46,551 - Model - INFO - **** Epoch 535 (535/1024) ****
2019-12-19 04:04:46,551 - Model - INFO - Learning rate:0.000490
2019-12-19 04:05:05,182 - Model - INFO - Training mean loss: 0.307437
2019-12-19 04:05:05,182 - Model - INFO - Training accuracy: 0.896864
2019-12-19 04:05:05,184 - Model - INFO - ---- EPOCH 535 EVALUATION ----
2019-12-19 04:05:13,917 - Model - INFO - Eval mean loss: 0.772131
2019-12-19 04:05:13,917 - Model - INFO - Eval accuracy: 0.773287
2019-12-19 04:05:13,917 - Model - INFO - **** Epoch 536 (536/1024) ****
2019-12-19 04:05:13,917 - Model - INFO - Learning rate:0.000490
2019-12-19 04:05:31,620 - Model - INFO - Training mean loss: 0.293456
2019-12-19 04:05:31,621 - Model - INFO - Training accuracy: 0.903930
2019-12-19 04:05:31,622 - Model - INFO - ---- EPOCH 536 EVALUATION ----
2019-12-19 04:05:40,020 - Model - INFO - Eval mean loss: 0.786870
2019-12-19 04:05:40,020 - Model - INFO - Eval accuracy: 0.776521
2019-12-19 04:05:40,020 - Model - INFO - **** Epoch 537 (537/1024) ****
2019-12-19 04:05:40,020 - Model - INFO - Learning rate:0.000490
2019-12-19 04:05:58,926 - Model - INFO - Training mean loss: 0.299668
2019-12-19 04:05:58,926 - Model - INFO - Training accuracy: 0.899328
2019-12-19 04:05:58,928 - Model - INFO - ---- EPOCH 537 EVALUATION ----
2019-12-19 04:06:07,431 - Model - INFO - Eval mean loss: 0.713146
2019-12-19 04:06:07,431 - Model - INFO - Eval accuracy: 0.785980
2019-12-19 04:06:07,431 - Model - INFO - **** Epoch 538 (538/1024) ****
2019-12-19 04:06:07,432 - Model - INFO - Learning rate:0.000490
2019-12-19 04:06:25,074 - Model - INFO - Training mean loss: 0.288365
2019-12-19 04:06:25,074 - Model - INFO - Training accuracy: 0.902843
2019-12-19 04:06:25,076 - Model - INFO - ---- EPOCH 538 EVALUATION ----
2019-12-19 04:06:33,603 - Model - INFO - Eval mean loss: 0.858135
2019-12-19 04:06:33,604 - Model - INFO - Eval accuracy: 0.755047
2019-12-19 04:06:33,604 - Model - INFO - **** Epoch 539 (539/1024) ****
2019-12-19 04:06:33,604 - Model - INFO - Learning rate:0.000490
2019-12-19 04:06:53,251 - Model - INFO - Training mean loss: 0.298349
2019-12-19 04:06:53,251 - Model - INFO - Training accuracy: 0.900756
2019-12-19 04:06:53,253 - Model - INFO - ---- EPOCH 539 EVALUATION ----
2019-12-19 04:07:01,825 - Model - INFO - Eval mean loss: 0.837886
2019-12-19 04:07:01,826 - Model - INFO - Eval accuracy: 0.770626
2019-12-19 04:07:01,826 - Model - INFO - **** Epoch 540 (540/1024) ****
2019-12-19 04:07:01,826 - Model - INFO - Learning rate:0.000490
2019-12-19 04:07:19,362 - Model - INFO - Training mean loss: 0.287037
2019-12-19 04:07:19,362 - Model - INFO - Training accuracy: 0.904033
2019-12-19 04:07:19,364 - Model - INFO - ---- EPOCH 540 EVALUATION ----
2019-12-19 04:07:27,820 - Model - INFO - Eval mean loss: 0.922498
2019-12-19 04:07:27,820 - Model - INFO - Eval accuracy: 0.772196
2019-12-19 04:07:27,820 - Model - INFO - **** Epoch 541 (541/1024) ****
2019-12-19 04:07:27,820 - Model - INFO - Learning rate:0.000490
2019-12-19 04:07:46,154 - Model - INFO - Training mean loss: 0.318561
2019-12-19 04:07:46,154 - Model - INFO - Training accuracy: 0.895114
2019-12-19 04:07:46,154 - Model - INFO - Save model...
2019-12-19 04:07:46,154 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:07:46,180 - Model - INFO - Saving model....
2019-12-19 04:07:46,182 - Model - INFO - ---- EPOCH 541 EVALUATION ----
2019-12-19 04:07:54,711 - Model - INFO - Eval mean loss: 0.817526
2019-12-19 04:07:54,711 - Model - INFO - Eval accuracy: 0.774623
2019-12-19 04:07:54,711 - Model - INFO - **** Epoch 542 (542/1024) ****
2019-12-19 04:07:54,711 - Model - INFO - Learning rate:0.000490
2019-12-19 04:08:12,402 - Model - INFO - Training mean loss: 0.282373
2019-12-19 04:08:12,402 - Model - INFO - Training accuracy: 0.902699
2019-12-19 04:08:12,404 - Model - INFO - ---- EPOCH 542 EVALUATION ----
2019-12-19 04:08:21,178 - Model - INFO - Eval mean loss: 0.704539
2019-12-19 04:08:21,178 - Model - INFO - Eval accuracy: 0.770189
2019-12-19 04:08:21,178 - Model - INFO - **** Epoch 543 (543/1024) ****
2019-12-19 04:08:21,178 - Model - INFO - Learning rate:0.000490
2019-12-19 04:08:39,314 - Model - INFO - Training mean loss: 0.301469
2019-12-19 04:08:39,314 - Model - INFO - Training accuracy: 0.900391
2019-12-19 04:08:39,315 - Model - INFO - ---- EPOCH 543 EVALUATION ----
2019-12-19 04:08:47,793 - Model - INFO - Eval mean loss: 0.747638
2019-12-19 04:08:47,793 - Model - INFO - Eval accuracy: 0.773175
2019-12-19 04:08:47,793 - Model - INFO - **** Epoch 544 (544/1024) ****
2019-12-19 04:08:47,793 - Model - INFO - Learning rate:0.000490
2019-12-19 04:09:05,467 - Model - INFO - Training mean loss: 0.282494
2019-12-19 04:09:05,467 - Model - INFO - Training accuracy: 0.902599
2019-12-19 04:09:05,469 - Model - INFO - ---- EPOCH 544 EVALUATION ----
2019-12-19 04:09:13,960 - Model - INFO - Eval mean loss: 0.877737
2019-12-19 04:09:13,960 - Model - INFO - Eval accuracy: 0.753576
2019-12-19 04:09:13,960 - Model - INFO - **** Epoch 545 (545/1024) ****
2019-12-19 04:09:13,960 - Model - INFO - Learning rate:0.000490
2019-12-19 04:09:32,170 - Model - INFO - Training mean loss: 0.303114
2019-12-19 04:09:32,170 - Model - INFO - Training accuracy: 0.901873
2019-12-19 04:09:32,172 - Model - INFO - ---- EPOCH 545 EVALUATION ----
2019-12-19 04:09:40,728 - Model - INFO - Eval mean loss: 0.860852
2019-12-19 04:09:40,728 - Model - INFO - Eval accuracy: 0.743496
2019-12-19 04:09:40,728 - Model - INFO - **** Epoch 546 (546/1024) ****
2019-12-19 04:09:40,728 - Model - INFO - Learning rate:0.000490
2019-12-19 04:09:58,832 - Model - INFO - Training mean loss: 0.296031
2019-12-19 04:09:58,832 - Model - INFO - Training accuracy: 0.898871
2019-12-19 04:09:58,834 - Model - INFO - ---- EPOCH 546 EVALUATION ----
2019-12-19 04:10:07,353 - Model - INFO - Eval mean loss: 0.665969
2019-12-19 04:10:07,353 - Model - INFO - Eval accuracy: 0.773556
2019-12-19 04:10:07,354 - Model - INFO - **** Epoch 547 (547/1024) ****
2019-12-19 04:10:07,354 - Model - INFO - Learning rate:0.000490
2019-12-19 04:10:25,813 - Model - INFO - Training mean loss: 0.294227
2019-12-19 04:10:25,814 - Model - INFO - Training accuracy: 0.904212
2019-12-19 04:10:25,815 - Model - INFO - ---- EPOCH 547 EVALUATION ----
2019-12-19 04:10:34,173 - Model - INFO - Eval mean loss: 0.774658
2019-12-19 04:10:34,174 - Model - INFO - Eval accuracy: 0.757612
2019-12-19 04:10:34,174 - Model - INFO - **** Epoch 548 (548/1024) ****
2019-12-19 04:10:34,174 - Model - INFO - Learning rate:0.000490
2019-12-19 04:10:51,775 - Model - INFO - Training mean loss: 0.290725
2019-12-19 04:10:51,776 - Model - INFO - Training accuracy: 0.905968
2019-12-19 04:10:51,777 - Model - INFO - ---- EPOCH 548 EVALUATION ----
2019-12-19 04:11:00,081 - Model - INFO - Eval mean loss: 0.683855
2019-12-19 04:11:00,081 - Model - INFO - Eval accuracy: 0.788230
2019-12-19 04:11:00,081 - Model - INFO - **** Epoch 549 (549/1024) ****
2019-12-19 04:11:00,081 - Model - INFO - Learning rate:0.000490
2019-12-19 04:11:17,926 - Model - INFO - Training mean loss: 0.288514
2019-12-19 04:11:17,926 - Model - INFO - Training accuracy: 0.903051
2019-12-19 04:11:17,928 - Model - INFO - ---- EPOCH 549 EVALUATION ----
2019-12-19 04:11:26,556 - Model - INFO - Eval mean loss: 0.932522
2019-12-19 04:11:26,556 - Model - INFO - Eval accuracy: 0.760415
2019-12-19 04:11:26,556 - Model - INFO - **** Epoch 550 (550/1024) ****
2019-12-19 04:11:26,556 - Model - INFO - Learning rate:0.000490
2019-12-19 04:11:44,133 - Model - INFO - Training mean loss: 0.279826
2019-12-19 04:11:44,134 - Model - INFO - Training accuracy: 0.905889
2019-12-19 04:11:44,135 - Model - INFO - ---- EPOCH 550 EVALUATION ----
2019-12-19 04:11:52,645 - Model - INFO - Eval mean loss: 0.822029
2019-12-19 04:11:52,645 - Model - INFO - Eval accuracy: 0.771751
2019-12-19 04:11:52,646 - Model - INFO - **** Epoch 551 (551/1024) ****
2019-12-19 04:11:52,646 - Model - INFO - Learning rate:0.000490
2019-12-19 04:12:11,407 - Model - INFO - Training mean loss: 0.296493
2019-12-19 04:12:11,408 - Model - INFO - Training accuracy: 0.901522
2019-12-19 04:12:11,408 - Model - INFO - Save model...
2019-12-19 04:12:11,408 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:12:11,437 - Model - INFO - Saving model....
2019-12-19 04:12:11,438 - Model - INFO - ---- EPOCH 551 EVALUATION ----
2019-12-19 04:12:19,834 - Model - INFO - Eval mean loss: 0.921867
2019-12-19 04:12:19,834 - Model - INFO - Eval accuracy: 0.752396
2019-12-19 04:12:19,834 - Model - INFO - **** Epoch 552 (552/1024) ****
2019-12-19 04:12:19,834 - Model - INFO - Learning rate:0.000490
2019-12-19 04:12:38,246 - Model - INFO - Training mean loss: 0.305510
2019-12-19 04:12:38,246 - Model - INFO - Training accuracy: 0.895290
2019-12-19 04:12:38,248 - Model - INFO - ---- EPOCH 552 EVALUATION ----
2019-12-19 04:12:46,685 - Model - INFO - Eval mean loss: 0.710117
2019-12-19 04:12:46,685 - Model - INFO - Eval accuracy: 0.778510
2019-12-19 04:12:46,685 - Model - INFO - **** Epoch 553 (553/1024) ****
2019-12-19 04:12:46,685 - Model - INFO - Learning rate:0.000490
2019-12-19 04:13:04,306 - Model - INFO - Training mean loss: 0.302624
2019-12-19 04:13:04,306 - Model - INFO - Training accuracy: 0.899568
2019-12-19 04:13:04,307 - Model - INFO - ---- EPOCH 553 EVALUATION ----
2019-12-19 04:13:12,850 - Model - INFO - Eval mean loss: 0.721940
2019-12-19 04:13:12,850 - Model - INFO - Eval accuracy: 0.772954
2019-12-19 04:13:12,850 - Model - INFO - **** Epoch 554 (554/1024) ****
2019-12-19 04:13:12,850 - Model - INFO - Learning rate:0.000490
2019-12-19 04:13:30,967 - Model - INFO - Training mean loss: 0.278919
2019-12-19 04:13:30,968 - Model - INFO - Training accuracy: 0.909543
2019-12-19 04:13:30,969 - Model - INFO - ---- EPOCH 554 EVALUATION ----
2019-12-19 04:13:39,506 - Model - INFO - Eval mean loss: 0.893367
2019-12-19 04:13:39,506 - Model - INFO - Eval accuracy: 0.754995
2019-12-19 04:13:39,506 - Model - INFO - **** Epoch 555 (555/1024) ****
2019-12-19 04:13:39,506 - Model - INFO - Learning rate:0.000490
2019-12-19 04:13:57,382 - Model - INFO - Training mean loss: 0.276409
2019-12-19 04:13:57,382 - Model - INFO - Training accuracy: 0.904484
2019-12-19 04:13:57,383 - Model - INFO - ---- EPOCH 555 EVALUATION ----
2019-12-19 04:14:05,803 - Model - INFO - Eval mean loss: 1.009811
2019-12-19 04:14:05,803 - Model - INFO - Eval accuracy: 0.761307
2019-12-19 04:14:05,803 - Model - INFO - **** Epoch 556 (556/1024) ****
2019-12-19 04:14:05,803 - Model - INFO - Learning rate:0.000490
2019-12-19 04:14:24,635 - Model - INFO - Training mean loss: 0.291278
2019-12-19 04:14:24,635 - Model - INFO - Training accuracy: 0.904675
2019-12-19 04:14:24,636 - Model - INFO - ---- EPOCH 556 EVALUATION ----
2019-12-19 04:14:33,334 - Model - INFO - Eval mean loss: 0.919858
2019-12-19 04:14:33,334 - Model - INFO - Eval accuracy: 0.753688
2019-12-19 04:14:33,334 - Model - INFO - **** Epoch 557 (557/1024) ****
2019-12-19 04:14:33,334 - Model - INFO - Learning rate:0.000490
2019-12-19 04:14:51,342 - Model - INFO - Training mean loss: 0.301894
2019-12-19 04:14:51,342 - Model - INFO - Training accuracy: 0.899541
2019-12-19 04:14:51,345 - Model - INFO - ---- EPOCH 557 EVALUATION ----
2019-12-19 04:15:00,051 - Model - INFO - Eval mean loss: 0.962307
2019-12-19 04:15:00,051 - Model - INFO - Eval accuracy: 0.754179
2019-12-19 04:15:00,051 - Model - INFO - **** Epoch 558 (558/1024) ****
2019-12-19 04:15:00,051 - Model - INFO - Learning rate:0.000490
2019-12-19 04:15:18,040 - Model - INFO - Training mean loss: 0.302721
2019-12-19 04:15:18,040 - Model - INFO - Training accuracy: 0.900617
2019-12-19 04:15:18,042 - Model - INFO - ---- EPOCH 558 EVALUATION ----
2019-12-19 04:15:26,461 - Model - INFO - Eval mean loss: 0.952821
2019-12-19 04:15:26,461 - Model - INFO - Eval accuracy: 0.746886
2019-12-19 04:15:26,462 - Model - INFO - **** Epoch 559 (559/1024) ****
2019-12-19 04:15:26,462 - Model - INFO - Learning rate:0.000490
2019-12-19 04:15:44,186 - Model - INFO - Training mean loss: 0.288307
2019-12-19 04:15:44,186 - Model - INFO - Training accuracy: 0.902747
2019-12-19 04:15:44,188 - Model - INFO - ---- EPOCH 559 EVALUATION ----
2019-12-19 04:15:52,666 - Model - INFO - Eval mean loss: 0.970684
2019-12-19 04:15:52,667 - Model - INFO - Eval accuracy: 0.747855
2019-12-19 04:15:52,667 - Model - INFO - **** Epoch 560 (560/1024) ****
2019-12-19 04:15:52,667 - Model - INFO - Learning rate:0.000490
2019-12-19 04:16:10,974 - Model - INFO - Training mean loss: 0.305033
2019-12-19 04:16:10,974 - Model - INFO - Training accuracy: 0.900302
2019-12-19 04:16:10,975 - Model - INFO - ---- EPOCH 560 EVALUATION ----
2019-12-19 04:16:19,441 - Model - INFO - Eval mean loss: 0.884552
2019-12-19 04:16:19,441 - Model - INFO - Eval accuracy: 0.757065
2019-12-19 04:16:19,441 - Model - INFO - **** Epoch 561 (561/1024) ****
2019-12-19 04:16:19,441 - Model - INFO - Learning rate:0.000490
2019-12-19 04:16:37,694 - Model - INFO - Training mean loss: 0.311019
2019-12-19 04:16:37,694 - Model - INFO - Training accuracy: 0.895162
2019-12-19 04:16:37,695 - Model - INFO - Save model...
2019-12-19 04:16:37,695 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:16:37,733 - Model - INFO - Saving model....
2019-12-19 04:16:37,735 - Model - INFO - ---- EPOCH 561 EVALUATION ----
2019-12-19 04:16:46,380 - Model - INFO - Eval mean loss: 0.811516
2019-12-19 04:16:46,381 - Model - INFO - Eval accuracy: 0.766736
2019-12-19 04:16:46,381 - Model - INFO - **** Epoch 562 (562/1024) ****
2019-12-19 04:16:46,381 - Model - INFO - Learning rate:0.000490
2019-12-19 04:17:04,420 - Model - INFO - Training mean loss: 0.310392
2019-12-19 04:17:04,420 - Model - INFO - Training accuracy: 0.900659
2019-12-19 04:17:04,421 - Model - INFO - ---- EPOCH 562 EVALUATION ----
2019-12-19 04:17:12,741 - Model - INFO - Eval mean loss: 0.756738
2019-12-19 04:17:12,741 - Model - INFO - Eval accuracy: 0.782342
2019-12-19 04:17:12,741 - Model - INFO - **** Epoch 563 (563/1024) ****
2019-12-19 04:17:12,741 - Model - INFO - Learning rate:0.000490
2019-12-19 04:17:30,435 - Model - INFO - Training mean loss: 0.270084
2019-12-19 04:17:30,435 - Model - INFO - Training accuracy: 0.906364
2019-12-19 04:17:30,436 - Model - INFO - ---- EPOCH 563 EVALUATION ----
2019-12-19 04:17:38,825 - Model - INFO - Eval mean loss: 0.668770
2019-12-19 04:17:38,825 - Model - INFO - Eval accuracy: 0.777720
2019-12-19 04:17:38,825 - Model - INFO - **** Epoch 564 (564/1024) ****
2019-12-19 04:17:38,825 - Model - INFO - Learning rate:0.000490
2019-12-19 04:17:57,127 - Model - INFO - Training mean loss: 0.278946
2019-12-19 04:17:57,127 - Model - INFO - Training accuracy: 0.907174
2019-12-19 04:17:57,129 - Model - INFO - ---- EPOCH 564 EVALUATION ----
2019-12-19 04:18:05,775 - Model - INFO - Eval mean loss: 0.778984
2019-12-19 04:18:05,776 - Model - INFO - Eval accuracy: 0.772103
2019-12-19 04:18:05,776 - Model - INFO - **** Epoch 565 (565/1024) ****
2019-12-19 04:18:05,776 - Model - INFO - Learning rate:0.000490
2019-12-19 04:18:24,368 - Model - INFO - Training mean loss: 0.265955
2019-12-19 04:18:24,368 - Model - INFO - Training accuracy: 0.907660
2019-12-19 04:18:24,370 - Model - INFO - ---- EPOCH 565 EVALUATION ----
2019-12-19 04:18:33,002 - Model - INFO - Eval mean loss: 0.591768
2019-12-19 04:18:33,002 - Model - INFO - Eval accuracy: 0.793291
2019-12-19 04:18:33,002 - Model - INFO - **** Epoch 566 (566/1024) ****
2019-12-19 04:18:33,002 - Model - INFO - Learning rate:0.000490
2019-12-19 04:18:51,912 - Model - INFO - Training mean loss: 0.298209
2019-12-19 04:18:51,913 - Model - INFO - Training accuracy: 0.899720
2019-12-19 04:18:51,916 - Model - INFO - ---- EPOCH 566 EVALUATION ----
2019-12-19 04:19:00,532 - Model - INFO - Eval mean loss: 0.815390
2019-12-19 04:19:00,532 - Model - INFO - Eval accuracy: 0.772909
2019-12-19 04:19:00,532 - Model - INFO - **** Epoch 567 (567/1024) ****
2019-12-19 04:19:00,532 - Model - INFO - Learning rate:0.000490
2019-12-19 04:19:18,897 - Model - INFO - Training mean loss: 0.299639
2019-12-19 04:19:18,897 - Model - INFO - Training accuracy: 0.901386
2019-12-19 04:19:18,898 - Model - INFO - ---- EPOCH 567 EVALUATION ----
2019-12-19 04:19:27,324 - Model - INFO - Eval mean loss: 0.621266
2019-12-19 04:19:27,325 - Model - INFO - Eval accuracy: 0.783705
2019-12-19 04:19:27,325 - Model - INFO - **** Epoch 568 (568/1024) ****
2019-12-19 04:19:27,325 - Model - INFO - Learning rate:0.000490
2019-12-19 04:19:45,029 - Model - INFO - Training mean loss: 0.293792
2019-12-19 04:19:45,029 - Model - INFO - Training accuracy: 0.898114
2019-12-19 04:19:45,031 - Model - INFO - ---- EPOCH 568 EVALUATION ----
2019-12-19 04:19:53,503 - Model - INFO - Eval mean loss: 0.815917
2019-12-19 04:19:53,503 - Model - INFO - Eval accuracy: 0.771123
2019-12-19 04:19:53,504 - Model - INFO - **** Epoch 569 (569/1024) ****
2019-12-19 04:19:53,504 - Model - INFO - Learning rate:0.000490
2019-12-19 04:20:10,890 - Model - INFO - Training mean loss: 0.274886
2019-12-19 04:20:10,891 - Model - INFO - Training accuracy: 0.907914
2019-12-19 04:20:10,892 - Model - INFO - ---- EPOCH 569 EVALUATION ----
2019-12-19 04:20:19,308 - Model - INFO - Eval mean loss: 0.846414
2019-12-19 04:20:19,308 - Model - INFO - Eval accuracy: 0.774358
2019-12-19 04:20:19,308 - Model - INFO - **** Epoch 570 (570/1024) ****
2019-12-19 04:20:19,308 - Model - INFO - Learning rate:0.000490
2019-12-19 04:20:36,807 - Model - INFO - Training mean loss: 0.318482
2019-12-19 04:20:36,807 - Model - INFO - Training accuracy: 0.893688
2019-12-19 04:20:36,808 - Model - INFO - ---- EPOCH 570 EVALUATION ----
2019-12-19 04:20:45,322 - Model - INFO - Eval mean loss: 0.815243
2019-12-19 04:20:45,322 - Model - INFO - Eval accuracy: 0.781740
2019-12-19 04:20:45,322 - Model - INFO - **** Epoch 571 (571/1024) ****
2019-12-19 04:20:45,322 - Model - INFO - Learning rate:0.000490
2019-12-19 04:21:03,496 - Model - INFO - Training mean loss: 0.301250
2019-12-19 04:21:03,496 - Model - INFO - Training accuracy: 0.899509
2019-12-19 04:21:03,496 - Model - INFO - Save model...
2019-12-19 04:21:03,496 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:21:03,527 - Model - INFO - Saving model....
2019-12-19 04:21:03,528 - Model - INFO - ---- EPOCH 571 EVALUATION ----
2019-12-19 04:21:12,002 - Model - INFO - Eval mean loss: 0.898429
2019-12-19 04:21:12,003 - Model - INFO - Eval accuracy: 0.763814
2019-12-19 04:21:12,003 - Model - INFO - **** Epoch 572 (572/1024) ****
2019-12-19 04:21:12,003 - Model - INFO - Learning rate:0.000490
2019-12-19 04:21:30,503 - Model - INFO - Training mean loss: 0.291698
2019-12-19 04:21:30,503 - Model - INFO - Training accuracy: 0.901934
2019-12-19 04:21:30,506 - Model - INFO - ---- EPOCH 572 EVALUATION ----
2019-12-19 04:21:39,168 - Model - INFO - Eval mean loss: 0.825362
2019-12-19 04:21:39,168 - Model - INFO - Eval accuracy: 0.773515
2019-12-19 04:21:39,168 - Model - INFO - **** Epoch 573 (573/1024) ****
2019-12-19 04:21:39,168 - Model - INFO - Learning rate:0.000490
2019-12-19 04:21:57,958 - Model - INFO - Training mean loss: 0.325861
2019-12-19 04:21:57,959 - Model - INFO - Training accuracy: 0.897165
2019-12-19 04:21:57,962 - Model - INFO - ---- EPOCH 573 EVALUATION ----
2019-12-19 04:22:06,566 - Model - INFO - Eval mean loss: 0.843729
2019-12-19 04:22:06,566 - Model - INFO - Eval accuracy: 0.768516
2019-12-19 04:22:06,566 - Model - INFO - **** Epoch 574 (574/1024) ****
2019-12-19 04:22:06,566 - Model - INFO - Learning rate:0.000490
2019-12-19 04:22:24,954 - Model - INFO - Training mean loss: 0.316852
2019-12-19 04:22:24,954 - Model - INFO - Training accuracy: 0.895201
2019-12-19 04:22:24,955 - Model - INFO - ---- EPOCH 574 EVALUATION ----
2019-12-19 04:22:33,573 - Model - INFO - Eval mean loss: 0.813377
2019-12-19 04:22:33,573 - Model - INFO - Eval accuracy: 0.773624
2019-12-19 04:22:33,573 - Model - INFO - **** Epoch 575 (575/1024) ****
2019-12-19 04:22:33,573 - Model - INFO - Learning rate:0.000490
2019-12-19 04:22:51,385 - Model - INFO - Training mean loss: 0.317329
2019-12-19 04:22:51,386 - Model - INFO - Training accuracy: 0.897690
2019-12-19 04:22:51,387 - Model - INFO - ---- EPOCH 575 EVALUATION ----
2019-12-19 04:22:59,877 - Model - INFO - Eval mean loss: 0.939455
2019-12-19 04:22:59,878 - Model - INFO - Eval accuracy: 0.747993
2019-12-19 04:22:59,878 - Model - INFO - **** Epoch 576 (576/1024) ****
2019-12-19 04:22:59,878 - Model - INFO - Learning rate:0.000490
2019-12-19 04:23:18,156 - Model - INFO - Training mean loss: 0.318095
2019-12-19 04:23:18,157 - Model - INFO - Training accuracy: 0.891828
2019-12-19 04:23:18,158 - Model - INFO - ---- EPOCH 576 EVALUATION ----
2019-12-19 04:23:26,601 - Model - INFO - Eval mean loss: 0.646792
2019-12-19 04:23:26,602 - Model - INFO - Eval accuracy: 0.780360
2019-12-19 04:23:26,602 - Model - INFO - **** Epoch 577 (577/1024) ****
2019-12-19 04:23:26,602 - Model - INFO - Learning rate:0.000490
2019-12-19 04:23:44,818 - Model - INFO - Training mean loss: 0.311571
2019-12-19 04:23:44,818 - Model - INFO - Training accuracy: 0.900212
2019-12-19 04:23:44,819 - Model - INFO - ---- EPOCH 577 EVALUATION ----
2019-12-19 04:23:53,257 - Model - INFO - Eval mean loss: 0.787779
2019-12-19 04:23:53,258 - Model - INFO - Eval accuracy: 0.759032
2019-12-19 04:23:53,258 - Model - INFO - **** Epoch 578 (578/1024) ****
2019-12-19 04:23:53,258 - Model - INFO - Learning rate:0.000490
2019-12-19 04:24:11,101 - Model - INFO - Training mean loss: 0.317471
2019-12-19 04:24:11,101 - Model - INFO - Training accuracy: 0.890891
2019-12-19 04:24:11,103 - Model - INFO - ---- EPOCH 578 EVALUATION ----
2019-12-19 04:24:19,514 - Model - INFO - Eval mean loss: 0.961290
2019-12-19 04:24:19,514 - Model - INFO - Eval accuracy: 0.746746
2019-12-19 04:24:19,514 - Model - INFO - **** Epoch 579 (579/1024) ****
2019-12-19 04:24:19,514 - Model - INFO - Learning rate:0.000490
2019-12-19 04:24:38,378 - Model - INFO - Training mean loss: 0.306164
2019-12-19 04:24:38,379 - Model - INFO - Training accuracy: 0.899521
2019-12-19 04:24:38,381 - Model - INFO - ---- EPOCH 579 EVALUATION ----
2019-12-19 04:24:46,976 - Model - INFO - Eval mean loss: 0.800000
2019-12-19 04:24:46,976 - Model - INFO - Eval accuracy: 0.763117
2019-12-19 04:24:46,976 - Model - INFO - **** Epoch 580 (580/1024) ****
2019-12-19 04:24:46,976 - Model - INFO - Learning rate:0.000490
2019-12-19 04:25:06,101 - Model - INFO - Training mean loss: 0.305443
2019-12-19 04:25:06,101 - Model - INFO - Training accuracy: 0.899762
2019-12-19 04:25:06,103 - Model - INFO - ---- EPOCH 580 EVALUATION ----
2019-12-19 04:25:14,815 - Model - INFO - Eval mean loss: 0.924599
2019-12-19 04:25:14,815 - Model - INFO - Eval accuracy: 0.766539
2019-12-19 04:25:14,815 - Model - INFO - **** Epoch 581 (581/1024) ****
2019-12-19 04:25:14,815 - Model - INFO - Learning rate:0.000490
2019-12-19 04:25:32,337 - Model - INFO - Training mean loss: 0.289136
2019-12-19 04:25:32,337 - Model - INFO - Training accuracy: 0.898819
2019-12-19 04:25:32,337 - Model - INFO - Save model...
2019-12-19 04:25:32,337 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:25:32,361 - Model - INFO - Saving model....
2019-12-19 04:25:32,362 - Model - INFO - ---- EPOCH 581 EVALUATION ----
2019-12-19 04:25:40,646 - Model - INFO - Eval mean loss: 0.665804
2019-12-19 04:25:40,646 - Model - INFO - Eval accuracy: 0.772076
2019-12-19 04:25:40,646 - Model - INFO - **** Epoch 582 (582/1024) ****
2019-12-19 04:25:40,647 - Model - INFO - Learning rate:0.000490
2019-12-19 04:25:58,747 - Model - INFO - Training mean loss: 0.298732
2019-12-19 04:25:58,747 - Model - INFO - Training accuracy: 0.901433
2019-12-19 04:25:58,749 - Model - INFO - ---- EPOCH 582 EVALUATION ----
2019-12-19 04:26:07,206 - Model - INFO - Eval mean loss: 0.884827
2019-12-19 04:26:07,207 - Model - INFO - Eval accuracy: 0.747793
2019-12-19 04:26:07,207 - Model - INFO - **** Epoch 583 (583/1024) ****
2019-12-19 04:26:07,207 - Model - INFO - Learning rate:0.000490
2019-12-19 04:26:25,844 - Model - INFO - Training mean loss: 0.343005
2019-12-19 04:26:25,844 - Model - INFO - Training accuracy: 0.891472
2019-12-19 04:26:25,846 - Model - INFO - ---- EPOCH 583 EVALUATION ----
2019-12-19 04:26:34,521 - Model - INFO - Eval mean loss: 0.726802
2019-12-19 04:26:34,521 - Model - INFO - Eval accuracy: 0.765233
2019-12-19 04:26:34,521 - Model - INFO - **** Epoch 584 (584/1024) ****
2019-12-19 04:26:34,521 - Model - INFO - Learning rate:0.000490
2019-12-19 04:26:52,903 - Model - INFO - Training mean loss: 0.275660
2019-12-19 04:26:52,903 - Model - INFO - Training accuracy: 0.907113
2019-12-19 04:26:52,904 - Model - INFO - ---- EPOCH 584 EVALUATION ----
2019-12-19 04:27:01,419 - Model - INFO - Eval mean loss: 0.730967
2019-12-19 04:27:01,419 - Model - INFO - Eval accuracy: 0.776589
2019-12-19 04:27:01,419 - Model - INFO - **** Epoch 585 (585/1024) ****
2019-12-19 04:27:01,419 - Model - INFO - Learning rate:0.000490
2019-12-19 04:27:20,473 - Model - INFO - Training mean loss: 0.281578
2019-12-19 04:27:20,474 - Model - INFO - Training accuracy: 0.904558
2019-12-19 04:27:20,476 - Model - INFO - ---- EPOCH 585 EVALUATION ----
2019-12-19 04:27:29,149 - Model - INFO - Eval mean loss: 0.870280
2019-12-19 04:27:29,149 - Model - INFO - Eval accuracy: 0.784293
2019-12-19 04:27:29,149 - Model - INFO - **** Epoch 586 (586/1024) ****
2019-12-19 04:27:29,149 - Model - INFO - Learning rate:0.000490
2019-12-19 04:27:47,157 - Model - INFO - Training mean loss: 0.288998
2019-12-19 04:27:47,157 - Model - INFO - Training accuracy: 0.903637
2019-12-19 04:27:47,159 - Model - INFO - ---- EPOCH 586 EVALUATION ----
2019-12-19 04:27:55,831 - Model - INFO - Eval mean loss: 0.846020
2019-12-19 04:27:55,831 - Model - INFO - Eval accuracy: 0.753077
2019-12-19 04:27:55,832 - Model - INFO - **** Epoch 587 (587/1024) ****
2019-12-19 04:27:55,832 - Model - INFO - Learning rate:0.000490
2019-12-19 04:28:14,249 - Model - INFO - Training mean loss: 0.315270
2019-12-19 04:28:14,249 - Model - INFO - Training accuracy: 0.892968
2019-12-19 04:28:14,251 - Model - INFO - ---- EPOCH 587 EVALUATION ----
2019-12-19 04:28:22,645 - Model - INFO - Eval mean loss: 0.788865
2019-12-19 04:28:22,645 - Model - INFO - Eval accuracy: 0.754852
2019-12-19 04:28:22,645 - Model - INFO - **** Epoch 588 (588/1024) ****
2019-12-19 04:28:22,646 - Model - INFO - Learning rate:0.000490
2019-12-19 04:28:40,909 - Model - INFO - Training mean loss: 0.298029
2019-12-19 04:28:40,909 - Model - INFO - Training accuracy: 0.902026
2019-12-19 04:28:40,911 - Model - INFO - ---- EPOCH 588 EVALUATION ----
2019-12-19 04:28:49,436 - Model - INFO - Eval mean loss: 0.710001
2019-12-19 04:28:49,436 - Model - INFO - Eval accuracy: 0.789354
2019-12-19 04:28:49,436 - Model - INFO - **** Epoch 589 (589/1024) ****
2019-12-19 04:28:49,436 - Model - INFO - Learning rate:0.000490
2019-12-19 04:29:08,006 - Model - INFO - Training mean loss: 0.290820
2019-12-19 04:29:08,006 - Model - INFO - Training accuracy: 0.900552
2019-12-19 04:29:08,008 - Model - INFO - ---- EPOCH 589 EVALUATION ----
2019-12-19 04:29:16,619 - Model - INFO - Eval mean loss: 0.858151
2019-12-19 04:29:16,619 - Model - INFO - Eval accuracy: 0.765808
2019-12-19 04:29:16,619 - Model - INFO - **** Epoch 590 (590/1024) ****
2019-12-19 04:29:16,619 - Model - INFO - Learning rate:0.000490
2019-12-19 04:29:33,842 - Model - INFO - Training mean loss: 0.260774
2019-12-19 04:29:33,843 - Model - INFO - Training accuracy: 0.910975
2019-12-19 04:29:33,844 - Model - INFO - ---- EPOCH 590 EVALUATION ----
2019-12-19 04:29:42,379 - Model - INFO - Eval mean loss: 1.163973
2019-12-19 04:29:42,379 - Model - INFO - Eval accuracy: 0.719832
2019-12-19 04:29:42,379 - Model - INFO - **** Epoch 591 (591/1024) ****
2019-12-19 04:29:42,379 - Model - INFO - Learning rate:0.000490
2019-12-19 04:30:00,812 - Model - INFO - Training mean loss: 0.314383
2019-12-19 04:30:00,813 - Model - INFO - Training accuracy: 0.895765
2019-12-19 04:30:00,813 - Model - INFO - Save model...
2019-12-19 04:30:00,813 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:30:00,838 - Model - INFO - Saving model....
2019-12-19 04:30:00,840 - Model - INFO - ---- EPOCH 591 EVALUATION ----
2019-12-19 04:30:09,325 - Model - INFO - Eval mean loss: 0.945857
2019-12-19 04:30:09,325 - Model - INFO - Eval accuracy: 0.765359
2019-12-19 04:30:09,325 - Model - INFO - **** Epoch 592 (592/1024) ****
2019-12-19 04:30:09,325 - Model - INFO - Learning rate:0.000490
2019-12-19 04:30:27,993 - Model - INFO - Training mean loss: 0.320584
2019-12-19 04:30:27,993 - Model - INFO - Training accuracy: 0.891647
2019-12-19 04:30:27,996 - Model - INFO - ---- EPOCH 592 EVALUATION ----
2019-12-19 04:30:36,603 - Model - INFO - Eval mean loss: 0.731373
2019-12-19 04:30:36,604 - Model - INFO - Eval accuracy: 0.784251
2019-12-19 04:30:36,604 - Model - INFO - **** Epoch 593 (593/1024) ****
2019-12-19 04:30:36,604 - Model - INFO - Learning rate:0.000490
2019-12-19 04:30:54,888 - Model - INFO - Training mean loss: 0.281357
2019-12-19 04:30:54,889 - Model - INFO - Training accuracy: 0.902978
2019-12-19 04:30:54,891 - Model - INFO - ---- EPOCH 593 EVALUATION ----
2019-12-19 04:31:03,313 - Model - INFO - Eval mean loss: 0.689243
2019-12-19 04:31:03,314 - Model - INFO - Eval accuracy: 0.793391
2019-12-19 04:31:03,314 - Model - INFO - **** Epoch 594 (594/1024) ****
2019-12-19 04:31:03,314 - Model - INFO - Learning rate:0.000490
2019-12-19 04:31:21,218 - Model - INFO - Training mean loss: 0.288913
2019-12-19 04:31:21,218 - Model - INFO - Training accuracy: 0.902082
2019-12-19 04:31:21,219 - Model - INFO - ---- EPOCH 594 EVALUATION ----
2019-12-19 04:31:29,692 - Model - INFO - Eval mean loss: 0.794451
2019-12-19 04:31:29,693 - Model - INFO - Eval accuracy: 0.775657
2019-12-19 04:31:29,693 - Model - INFO - **** Epoch 595 (595/1024) ****
2019-12-19 04:31:29,693 - Model - INFO - Learning rate:0.000490
2019-12-19 04:31:47,943 - Model - INFO - Training mean loss: 0.279698
2019-12-19 04:31:47,944 - Model - INFO - Training accuracy: 0.908658
2019-12-19 04:31:47,945 - Model - INFO - ---- EPOCH 595 EVALUATION ----
2019-12-19 04:31:56,558 - Model - INFO - Eval mean loss: 0.719740
2019-12-19 04:31:56,559 - Model - INFO - Eval accuracy: 0.784761
2019-12-19 04:31:56,559 - Model - INFO - **** Epoch 596 (596/1024) ****
2019-12-19 04:31:56,559 - Model - INFO - Learning rate:0.000490
2019-12-19 04:32:14,758 - Model - INFO - Training mean loss: 0.291915
2019-12-19 04:32:14,758 - Model - INFO - Training accuracy: 0.900470
2019-12-19 04:32:14,760 - Model - INFO - ---- EPOCH 596 EVALUATION ----
2019-12-19 04:32:23,100 - Model - INFO - Eval mean loss: 0.782367
2019-12-19 04:32:23,100 - Model - INFO - Eval accuracy: 0.796465
2019-12-19 04:32:23,100 - Model - INFO - **** Epoch 597 (597/1024) ****
2019-12-19 04:32:23,100 - Model - INFO - Learning rate:0.000490
2019-12-19 04:32:40,792 - Model - INFO - Training mean loss: 0.275337
2019-12-19 04:32:40,792 - Model - INFO - Training accuracy: 0.907175
2019-12-19 04:32:40,793 - Model - INFO - ---- EPOCH 597 EVALUATION ----
2019-12-19 04:32:49,141 - Model - INFO - Eval mean loss: 0.899353
2019-12-19 04:32:49,141 - Model - INFO - Eval accuracy: 0.754662
2019-12-19 04:32:49,141 - Model - INFO - **** Epoch 598 (598/1024) ****
2019-12-19 04:32:49,141 - Model - INFO - Learning rate:0.000490
2019-12-19 04:33:07,212 - Model - INFO - Training mean loss: 0.322800
2019-12-19 04:33:07,212 - Model - INFO - Training accuracy: 0.895932
2019-12-19 04:33:07,214 - Model - INFO - ---- EPOCH 598 EVALUATION ----
2019-12-19 04:33:15,624 - Model - INFO - Eval mean loss: 0.846996
2019-12-19 04:33:15,624 - Model - INFO - Eval accuracy: 0.768548
2019-12-19 04:33:15,625 - Model - INFO - **** Epoch 599 (599/1024) ****
2019-12-19 04:33:15,625 - Model - INFO - Learning rate:0.000490
2019-12-19 04:33:34,225 - Model - INFO - Training mean loss: 0.291603
2019-12-19 04:33:34,226 - Model - INFO - Training accuracy: 0.901370
2019-12-19 04:33:34,227 - Model - INFO - ---- EPOCH 599 EVALUATION ----
2019-12-19 04:33:42,641 - Model - INFO - Eval mean loss: 0.826241
2019-12-19 04:33:42,642 - Model - INFO - Eval accuracy: 0.769004
2019-12-19 04:33:42,642 - Model - INFO - **** Epoch 600 (600/1024) ****
2019-12-19 04:33:42,642 - Model - INFO - Learning rate:0.000490
2019-12-19 04:34:00,185 - Model - INFO - Training mean loss: 0.322942
2019-12-19 04:34:00,185 - Model - INFO - Training accuracy: 0.896047
2019-12-19 04:34:00,187 - Model - INFO - ---- EPOCH 600 EVALUATION ----
2019-12-19 04:34:08,628 - Model - INFO - Eval mean loss: 0.821770
2019-12-19 04:34:08,628 - Model - INFO - Eval accuracy: 0.744427
2019-12-19 04:34:08,628 - Model - INFO - **** Epoch 601 (601/1024) ****
2019-12-19 04:34:08,628 - Model - INFO - Learning rate:0.000343
2019-12-19 04:34:27,333 - Model - INFO - Training mean loss: 0.309228
2019-12-19 04:34:27,334 - Model - INFO - Training accuracy: 0.893929
2019-12-19 04:34:27,334 - Model - INFO - Save model...
2019-12-19 04:34:27,334 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:34:27,365 - Model - INFO - Saving model....
2019-12-19 04:34:27,367 - Model - INFO - ---- EPOCH 601 EVALUATION ----
2019-12-19 04:34:35,777 - Model - INFO - Eval mean loss: 0.927186
2019-12-19 04:34:35,777 - Model - INFO - Eval accuracy: 0.750782
2019-12-19 04:34:35,777 - Model - INFO - **** Epoch 602 (602/1024) ****
2019-12-19 04:34:35,778 - Model - INFO - Learning rate:0.000343
2019-12-19 04:34:54,365 - Model - INFO - Training mean loss: 0.295470
2019-12-19 04:34:54,365 - Model - INFO - Training accuracy: 0.903645
2019-12-19 04:34:54,367 - Model - INFO - ---- EPOCH 602 EVALUATION ----
2019-12-19 04:35:02,819 - Model - INFO - Eval mean loss: 0.828260
2019-12-19 04:35:02,819 - Model - INFO - Eval accuracy: 0.751726
2019-12-19 04:35:02,819 - Model - INFO - **** Epoch 603 (603/1024) ****
2019-12-19 04:35:02,819 - Model - INFO - Learning rate:0.000343
2019-12-19 04:35:20,452 - Model - INFO - Training mean loss: 0.279178
2019-12-19 04:35:20,452 - Model - INFO - Training accuracy: 0.904537
2019-12-19 04:35:20,454 - Model - INFO - ---- EPOCH 603 EVALUATION ----
2019-12-19 04:35:29,015 - Model - INFO - Eval mean loss: 0.786643
2019-12-19 04:35:29,016 - Model - INFO - Eval accuracy: 0.766425
2019-12-19 04:35:29,016 - Model - INFO - **** Epoch 604 (604/1024) ****
2019-12-19 04:35:29,016 - Model - INFO - Learning rate:0.000343
2019-12-19 04:35:48,018 - Model - INFO - Training mean loss: 0.262495
2019-12-19 04:35:48,019 - Model - INFO - Training accuracy: 0.913751
2019-12-19 04:35:48,020 - Model - INFO - ---- EPOCH 604 EVALUATION ----
2019-12-19 04:35:56,545 - Model - INFO - Eval mean loss: 0.842706
2019-12-19 04:35:56,545 - Model - INFO - Eval accuracy: 0.759664
2019-12-19 04:35:56,545 - Model - INFO - **** Epoch 605 (605/1024) ****
2019-12-19 04:35:56,545 - Model - INFO - Learning rate:0.000343
2019-12-19 04:36:14,119 - Model - INFO - Training mean loss: 0.263122
2019-12-19 04:36:14,119 - Model - INFO - Training accuracy: 0.911726
2019-12-19 04:36:14,121 - Model - INFO - ---- EPOCH 605 EVALUATION ----
2019-12-19 04:36:22,610 - Model - INFO - Eval mean loss: 0.805385
2019-12-19 04:36:22,610 - Model - INFO - Eval accuracy: 0.758253
2019-12-19 04:36:22,610 - Model - INFO - **** Epoch 606 (606/1024) ****
2019-12-19 04:36:22,610 - Model - INFO - Learning rate:0.000343
2019-12-19 04:36:41,712 - Model - INFO - Training mean loss: 0.271686
2019-12-19 04:36:41,712 - Model - INFO - Training accuracy: 0.907607
2019-12-19 04:36:41,714 - Model - INFO - ---- EPOCH 606 EVALUATION ----
2019-12-19 04:36:50,161 - Model - INFO - Eval mean loss: 0.658975
2019-12-19 04:36:50,161 - Model - INFO - Eval accuracy: 0.792755
2019-12-19 04:36:50,161 - Model - INFO - **** Epoch 607 (607/1024) ****
2019-12-19 04:36:50,161 - Model - INFO - Learning rate:0.000343
2019-12-19 04:37:09,933 - Model - INFO - Training mean loss: 0.279297
2019-12-19 04:37:09,933 - Model - INFO - Training accuracy: 0.904721
2019-12-19 04:37:09,935 - Model - INFO - ---- EPOCH 607 EVALUATION ----
2019-12-19 04:37:18,477 - Model - INFO - Eval mean loss: 0.871514
2019-12-19 04:37:18,477 - Model - INFO - Eval accuracy: 0.764338
2019-12-19 04:37:18,478 - Model - INFO - **** Epoch 608 (608/1024) ****
2019-12-19 04:37:18,478 - Model - INFO - Learning rate:0.000343
2019-12-19 04:37:36,778 - Model - INFO - Training mean loss: 0.254392
2019-12-19 04:37:36,778 - Model - INFO - Training accuracy: 0.912619
2019-12-19 04:37:36,779 - Model - INFO - ---- EPOCH 608 EVALUATION ----
2019-12-19 04:37:45,326 - Model - INFO - Eval mean loss: 0.775806
2019-12-19 04:37:45,326 - Model - INFO - Eval accuracy: 0.776867
2019-12-19 04:37:45,327 - Model - INFO - **** Epoch 609 (609/1024) ****
2019-12-19 04:37:45,327 - Model - INFO - Learning rate:0.000343
2019-12-19 04:38:03,864 - Model - INFO - Training mean loss: 0.249891
2019-12-19 04:38:03,864 - Model - INFO - Training accuracy: 0.914267
2019-12-19 04:38:03,866 - Model - INFO - ---- EPOCH 609 EVALUATION ----
2019-12-19 04:38:12,315 - Model - INFO - Eval mean loss: 0.768196
2019-12-19 04:38:12,315 - Model - INFO - Eval accuracy: 0.791612
2019-12-19 04:38:12,316 - Model - INFO - **** Epoch 610 (610/1024) ****
2019-12-19 04:38:12,316 - Model - INFO - Learning rate:0.000343
2019-12-19 04:38:30,237 - Model - INFO - Training mean loss: 0.280816
2019-12-19 04:38:30,237 - Model - INFO - Training accuracy: 0.905458
2019-12-19 04:38:30,239 - Model - INFO - ---- EPOCH 610 EVALUATION ----
2019-12-19 04:38:38,715 - Model - INFO - Eval mean loss: 0.891811
2019-12-19 04:38:38,715 - Model - INFO - Eval accuracy: 0.760788
2019-12-19 04:38:38,715 - Model - INFO - **** Epoch 611 (611/1024) ****
2019-12-19 04:38:38,715 - Model - INFO - Learning rate:0.000343
2019-12-19 04:38:56,241 - Model - INFO - Training mean loss: 0.259325
2019-12-19 04:38:56,242 - Model - INFO - Training accuracy: 0.913877
2019-12-19 04:38:56,242 - Model - INFO - Save model...
2019-12-19 04:38:56,242 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:38:56,265 - Model - INFO - Saving model....
2019-12-19 04:38:56,267 - Model - INFO - ---- EPOCH 611 EVALUATION ----
2019-12-19 04:39:04,849 - Model - INFO - Eval mean loss: 0.907208
2019-12-19 04:39:04,849 - Model - INFO - Eval accuracy: 0.768853
2019-12-19 04:39:04,850 - Model - INFO - **** Epoch 612 (612/1024) ****
2019-12-19 04:39:04,850 - Model - INFO - Learning rate:0.000343
2019-12-19 04:39:23,452 - Model - INFO - Training mean loss: 0.282781
2019-12-19 04:39:23,452 - Model - INFO - Training accuracy: 0.907800
2019-12-19 04:39:23,453 - Model - INFO - ---- EPOCH 612 EVALUATION ----
2019-12-19 04:39:31,996 - Model - INFO - Eval mean loss: 1.061782
2019-12-19 04:39:31,997 - Model - INFO - Eval accuracy: 0.749983
2019-12-19 04:39:31,997 - Model - INFO - **** Epoch 613 (613/1024) ****
2019-12-19 04:39:31,997 - Model - INFO - Learning rate:0.000343
2019-12-19 04:39:49,397 - Model - INFO - Training mean loss: 0.293724
2019-12-19 04:39:49,397 - Model - INFO - Training accuracy: 0.907304
2019-12-19 04:39:49,399 - Model - INFO - ---- EPOCH 613 EVALUATION ----
2019-12-19 04:39:57,917 - Model - INFO - Eval mean loss: 0.739223
2019-12-19 04:39:57,918 - Model - INFO - Eval accuracy: 0.791906
2019-12-19 04:39:57,918 - Model - INFO - **** Epoch 614 (614/1024) ****
2019-12-19 04:39:57,918 - Model - INFO - Learning rate:0.000343
2019-12-19 04:40:16,190 - Model - INFO - Training mean loss: 0.258652
2019-12-19 04:40:16,190 - Model - INFO - Training accuracy: 0.912699
2019-12-19 04:40:16,191 - Model - INFO - ---- EPOCH 614 EVALUATION ----
2019-12-19 04:40:24,851 - Model - INFO - Eval mean loss: 0.874969
2019-12-19 04:40:24,851 - Model - INFO - Eval accuracy: 0.780063
2019-12-19 04:40:24,851 - Model - INFO - **** Epoch 615 (615/1024) ****
2019-12-19 04:40:24,851 - Model - INFO - Learning rate:0.000343
2019-12-19 04:40:44,233 - Model - INFO - Training mean loss: 0.285247
2019-12-19 04:40:44,234 - Model - INFO - Training accuracy: 0.908500
2019-12-19 04:40:44,236 - Model - INFO - ---- EPOCH 615 EVALUATION ----
2019-12-19 04:40:52,998 - Model - INFO - Eval mean loss: 0.802739
2019-12-19 04:40:52,999 - Model - INFO - Eval accuracy: 0.785100
2019-12-19 04:40:52,999 - Model - INFO - **** Epoch 616 (616/1024) ****
2019-12-19 04:40:52,999 - Model - INFO - Learning rate:0.000343
2019-12-19 04:41:11,000 - Model - INFO - Training mean loss: 0.274206
2019-12-19 04:41:11,001 - Model - INFO - Training accuracy: 0.906037
2019-12-19 04:41:11,002 - Model - INFO - ---- EPOCH 616 EVALUATION ----
2019-12-19 04:41:19,409 - Model - INFO - Eval mean loss: 0.776378
2019-12-19 04:41:19,409 - Model - INFO - Eval accuracy: 0.760649
2019-12-19 04:41:19,409 - Model - INFO - **** Epoch 617 (617/1024) ****
2019-12-19 04:41:19,409 - Model - INFO - Learning rate:0.000343
2019-12-19 04:41:36,967 - Model - INFO - Training mean loss: 0.285654
2019-12-19 04:41:36,967 - Model - INFO - Training accuracy: 0.907267
2019-12-19 04:41:36,968 - Model - INFO - ---- EPOCH 617 EVALUATION ----
2019-12-19 04:41:45,453 - Model - INFO - Eval mean loss: 0.758824
2019-12-19 04:41:45,453 - Model - INFO - Eval accuracy: 0.766098
2019-12-19 04:41:45,453 - Model - INFO - **** Epoch 618 (618/1024) ****
2019-12-19 04:41:45,453 - Model - INFO - Learning rate:0.000343
2019-12-19 04:42:03,803 - Model - INFO - Training mean loss: 0.246441
2019-12-19 04:42:03,803 - Model - INFO - Training accuracy: 0.910762
2019-12-19 04:42:03,805 - Model - INFO - ---- EPOCH 618 EVALUATION ----
2019-12-19 04:42:12,261 - Model - INFO - Eval mean loss: 0.772241
2019-12-19 04:42:12,261 - Model - INFO - Eval accuracy: 0.781231
2019-12-19 04:42:12,262 - Model - INFO - **** Epoch 619 (619/1024) ****
2019-12-19 04:42:12,262 - Model - INFO - Learning rate:0.000343
2019-12-19 04:42:29,848 - Model - INFO - Training mean loss: 0.262570
2019-12-19 04:42:29,849 - Model - INFO - Training accuracy: 0.911564
2019-12-19 04:42:29,850 - Model - INFO - ---- EPOCH 619 EVALUATION ----
2019-12-19 04:42:38,354 - Model - INFO - Eval mean loss: 0.897822
2019-12-19 04:42:38,354 - Model - INFO - Eval accuracy: 0.765947
2019-12-19 04:42:38,354 - Model - INFO - **** Epoch 620 (620/1024) ****
2019-12-19 04:42:38,354 - Model - INFO - Learning rate:0.000343
2019-12-19 04:42:57,370 - Model - INFO - Training mean loss: 0.257190
2019-12-19 04:42:57,370 - Model - INFO - Training accuracy: 0.909390
2019-12-19 04:42:57,371 - Model - INFO - ---- EPOCH 620 EVALUATION ----
2019-12-19 04:43:06,002 - Model - INFO - Eval mean loss: 0.686088
2019-12-19 04:43:06,002 - Model - INFO - Eval accuracy: 0.784961
2019-12-19 04:43:06,002 - Model - INFO - **** Epoch 621 (621/1024) ****
2019-12-19 04:43:06,002 - Model - INFO - Learning rate:0.000343
2019-12-19 04:43:23,699 - Model - INFO - Training mean loss: 0.259233
2019-12-19 04:43:23,700 - Model - INFO - Training accuracy: 0.909527
2019-12-19 04:43:23,700 - Model - INFO - Save model...
2019-12-19 04:43:23,700 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:43:23,724 - Model - INFO - Saving model....
2019-12-19 04:43:23,726 - Model - INFO - ---- EPOCH 621 EVALUATION ----
2019-12-19 04:43:32,255 - Model - INFO - Eval mean loss: 0.689876
2019-12-19 04:43:32,256 - Model - INFO - Eval accuracy: 0.785114
2019-12-19 04:43:32,256 - Model - INFO - **** Epoch 622 (622/1024) ****
2019-12-19 04:43:32,256 - Model - INFO - Learning rate:0.000343
2019-12-19 04:43:50,255 - Model - INFO - Training mean loss: 0.273088
2019-12-19 04:43:50,255 - Model - INFO - Training accuracy: 0.907022
2019-12-19 04:43:50,256 - Model - INFO - ---- EPOCH 622 EVALUATION ----
2019-12-19 04:43:58,747 - Model - INFO - Eval mean loss: 0.912045
2019-12-19 04:43:58,747 - Model - INFO - Eval accuracy: 0.762575
2019-12-19 04:43:58,747 - Model - INFO - **** Epoch 623 (623/1024) ****
2019-12-19 04:43:58,748 - Model - INFO - Learning rate:0.000343
2019-12-19 04:44:16,571 - Model - INFO - Training mean loss: 0.261603
2019-12-19 04:44:16,572 - Model - INFO - Training accuracy: 0.913703
2019-12-19 04:44:16,574 - Model - INFO - ---- EPOCH 623 EVALUATION ----
2019-12-19 04:44:25,115 - Model - INFO - Eval mean loss: 0.732828
2019-12-19 04:44:25,116 - Model - INFO - Eval accuracy: 0.780002
2019-12-19 04:44:25,116 - Model - INFO - **** Epoch 624 (624/1024) ****
2019-12-19 04:44:25,116 - Model - INFO - Learning rate:0.000343
2019-12-19 04:44:42,409 - Model - INFO - Training mean loss: 0.260834
2019-12-19 04:44:42,409 - Model - INFO - Training accuracy: 0.910052
2019-12-19 04:44:42,411 - Model - INFO - ---- EPOCH 624 EVALUATION ----
2019-12-19 04:44:50,862 - Model - INFO - Eval mean loss: 0.798335
2019-12-19 04:44:50,862 - Model - INFO - Eval accuracy: 0.764002
2019-12-19 04:44:50,863 - Model - INFO - **** Epoch 625 (625/1024) ****
2019-12-19 04:44:50,863 - Model - INFO - Learning rate:0.000343
2019-12-19 04:45:11,171 - Model - INFO - Training mean loss: 0.264790
2019-12-19 04:45:11,171 - Model - INFO - Training accuracy: 0.909682
2019-12-19 04:45:11,174 - Model - INFO - ---- EPOCH 625 EVALUATION ----
2019-12-19 04:45:19,870 - Model - INFO - Eval mean loss: 0.852260
2019-12-19 04:45:19,870 - Model - INFO - Eval accuracy: 0.762148
2019-12-19 04:45:19,870 - Model - INFO - **** Epoch 626 (626/1024) ****
2019-12-19 04:45:19,870 - Model - INFO - Learning rate:0.000343
2019-12-19 04:45:38,046 - Model - INFO - Training mean loss: 0.270312
2019-12-19 04:45:38,046 - Model - INFO - Training accuracy: 0.910074
2019-12-19 04:45:38,048 - Model - INFO - ---- EPOCH 626 EVALUATION ----
2019-12-19 04:45:46,528 - Model - INFO - Eval mean loss: 0.913346
2019-12-19 04:45:46,528 - Model - INFO - Eval accuracy: 0.763730
2019-12-19 04:45:46,528 - Model - INFO - **** Epoch 627 (627/1024) ****
2019-12-19 04:45:46,528 - Model - INFO - Learning rate:0.000343
2019-12-19 04:46:04,263 - Model - INFO - Training mean loss: 0.270268
2019-12-19 04:46:04,263 - Model - INFO - Training accuracy: 0.904230
2019-12-19 04:46:04,265 - Model - INFO - ---- EPOCH 627 EVALUATION ----
2019-12-19 04:46:12,800 - Model - INFO - Eval mean loss: 0.804629
2019-12-19 04:46:12,801 - Model - INFO - Eval accuracy: 0.784192
2019-12-19 04:46:12,801 - Model - INFO - **** Epoch 628 (628/1024) ****
2019-12-19 04:46:12,801 - Model - INFO - Learning rate:0.000343
2019-12-19 04:46:30,338 - Model - INFO - Training mean loss: 0.252099
2019-12-19 04:46:30,338 - Model - INFO - Training accuracy: 0.916159
2019-12-19 04:46:30,340 - Model - INFO - ---- EPOCH 628 EVALUATION ----
2019-12-19 04:46:38,974 - Model - INFO - Eval mean loss: 0.879958
2019-12-19 04:46:38,974 - Model - INFO - Eval accuracy: 0.774484
2019-12-19 04:46:38,974 - Model - INFO - **** Epoch 629 (629/1024) ****
2019-12-19 04:46:38,974 - Model - INFO - Learning rate:0.000343
2019-12-19 04:46:57,357 - Model - INFO - Training mean loss: 0.265577
2019-12-19 04:46:57,358 - Model - INFO - Training accuracy: 0.912692
2019-12-19 04:46:57,360 - Model - INFO - ---- EPOCH 629 EVALUATION ----
2019-12-19 04:47:05,994 - Model - INFO - Eval mean loss: 0.974337
2019-12-19 04:47:05,994 - Model - INFO - Eval accuracy: 0.765133
2019-12-19 04:47:05,994 - Model - INFO - **** Epoch 630 (630/1024) ****
2019-12-19 04:47:05,994 - Model - INFO - Learning rate:0.000343
2019-12-19 04:47:23,579 - Model - INFO - Training mean loss: 0.279286
2019-12-19 04:47:23,580 - Model - INFO - Training accuracy: 0.902256
2019-12-19 04:47:23,581 - Model - INFO - ---- EPOCH 630 EVALUATION ----
2019-12-19 04:47:32,121 - Model - INFO - Eval mean loss: 0.652802
2019-12-19 04:47:32,121 - Model - INFO - Eval accuracy: 0.800586
2019-12-19 04:47:32,121 - Model - INFO - **** Epoch 631 (631/1024) ****
2019-12-19 04:47:32,121 - Model - INFO - Learning rate:0.000343
2019-12-19 04:47:50,514 - Model - INFO - Training mean loss: 0.263860
2019-12-19 04:47:50,515 - Model - INFO - Training accuracy: 0.913297
2019-12-19 04:47:50,515 - Model - INFO - Save model...
2019-12-19 04:47:50,515 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:47:50,539 - Model - INFO - Saving model....
2019-12-19 04:47:50,541 - Model - INFO - ---- EPOCH 631 EVALUATION ----
2019-12-19 04:47:59,013 - Model - INFO - Eval mean loss: 0.863783
2019-12-19 04:47:59,013 - Model - INFO - Eval accuracy: 0.768921
2019-12-19 04:47:59,014 - Model - INFO - **** Epoch 632 (632/1024) ****
2019-12-19 04:47:59,014 - Model - INFO - Learning rate:0.000343
2019-12-19 04:48:17,652 - Model - INFO - Training mean loss: 0.282512
2019-12-19 04:48:17,652 - Model - INFO - Training accuracy: 0.902002
2019-12-19 04:48:17,654 - Model - INFO - ---- EPOCH 632 EVALUATION ----
2019-12-19 04:48:26,063 - Model - INFO - Eval mean loss: 0.905291
2019-12-19 04:48:26,063 - Model - INFO - Eval accuracy: 0.768073
2019-12-19 04:48:26,063 - Model - INFO - **** Epoch 633 (633/1024) ****
2019-12-19 04:48:26,063 - Model - INFO - Learning rate:0.000343
2019-12-19 04:48:45,039 - Model - INFO - Training mean loss: 0.271385
2019-12-19 04:48:45,040 - Model - INFO - Training accuracy: 0.904764
2019-12-19 04:48:45,042 - Model - INFO - ---- EPOCH 633 EVALUATION ----
2019-12-19 04:48:53,593 - Model - INFO - Eval mean loss: 0.802727
2019-12-19 04:48:53,594 - Model - INFO - Eval accuracy: 0.776116
2019-12-19 04:48:53,594 - Model - INFO - **** Epoch 634 (634/1024) ****
2019-12-19 04:48:53,594 - Model - INFO - Learning rate:0.000343
2019-12-19 04:49:11,447 - Model - INFO - Training mean loss: 0.256808
2019-12-19 04:49:11,447 - Model - INFO - Training accuracy: 0.911775
2019-12-19 04:49:11,449 - Model - INFO - ---- EPOCH 634 EVALUATION ----
2019-12-19 04:49:19,830 - Model - INFO - Eval mean loss: 0.843127
2019-12-19 04:49:19,831 - Model - INFO - Eval accuracy: 0.767543
2019-12-19 04:49:19,831 - Model - INFO - **** Epoch 635 (635/1024) ****
2019-12-19 04:49:19,831 - Model - INFO - Learning rate:0.000343
2019-12-19 04:49:37,238 - Model - INFO - Training mean loss: 0.257110
2019-12-19 04:49:37,238 - Model - INFO - Training accuracy: 0.912983
2019-12-19 04:49:37,240 - Model - INFO - ---- EPOCH 635 EVALUATION ----
2019-12-19 04:49:45,697 - Model - INFO - Eval mean loss: 0.764005
2019-12-19 04:49:45,697 - Model - INFO - Eval accuracy: 0.770364
2019-12-19 04:49:45,697 - Model - INFO - **** Epoch 636 (636/1024) ****
2019-12-19 04:49:45,698 - Model - INFO - Learning rate:0.000343
2019-12-19 04:50:03,433 - Model - INFO - Training mean loss: 0.264697
2019-12-19 04:50:03,433 - Model - INFO - Training accuracy: 0.912328
2019-12-19 04:50:03,436 - Model - INFO - ---- EPOCH 636 EVALUATION ----
2019-12-19 04:50:12,113 - Model - INFO - Eval mean loss: 0.760417
2019-12-19 04:50:12,113 - Model - INFO - Eval accuracy: 0.763833
2019-12-19 04:50:12,113 - Model - INFO - **** Epoch 637 (637/1024) ****
2019-12-19 04:50:12,113 - Model - INFO - Learning rate:0.000343
2019-12-19 04:50:30,331 - Model - INFO - Training mean loss: 0.282998
2019-12-19 04:50:30,331 - Model - INFO - Training accuracy: 0.895517
2019-12-19 04:50:30,333 - Model - INFO - ---- EPOCH 637 EVALUATION ----
2019-12-19 04:50:38,768 - Model - INFO - Eval mean loss: 0.778290
2019-12-19 04:50:38,768 - Model - INFO - Eval accuracy: 0.751928
2019-12-19 04:50:38,768 - Model - INFO - **** Epoch 638 (638/1024) ****
2019-12-19 04:50:38,769 - Model - INFO - Learning rate:0.000343
2019-12-19 04:50:56,726 - Model - INFO - Training mean loss: 0.254201
2019-12-19 04:50:56,726 - Model - INFO - Training accuracy: 0.915674
2019-12-19 04:50:56,727 - Model - INFO - ---- EPOCH 638 EVALUATION ----
2019-12-19 04:51:05,264 - Model - INFO - Eval mean loss: 0.782856
2019-12-19 04:51:05,265 - Model - INFO - Eval accuracy: 0.777230
2019-12-19 04:51:05,265 - Model - INFO - **** Epoch 639 (639/1024) ****
2019-12-19 04:51:05,265 - Model - INFO - Learning rate:0.000343
2019-12-19 04:51:23,653 - Model - INFO - Training mean loss: 0.268036
2019-12-19 04:51:23,653 - Model - INFO - Training accuracy: 0.908946
2019-12-19 04:51:23,656 - Model - INFO - ---- EPOCH 639 EVALUATION ----
2019-12-19 04:51:32,343 - Model - INFO - Eval mean loss: 0.777523
2019-12-19 04:51:32,343 - Model - INFO - Eval accuracy: 0.773666
2019-12-19 04:51:32,343 - Model - INFO - **** Epoch 640 (640/1024) ****
2019-12-19 04:51:32,343 - Model - INFO - Learning rate:0.000343
2019-12-19 04:51:49,915 - Model - INFO - Training mean loss: 0.267325
2019-12-19 04:51:49,915 - Model - INFO - Training accuracy: 0.909953
2019-12-19 04:51:49,917 - Model - INFO - ---- EPOCH 640 EVALUATION ----
2019-12-19 04:51:58,433 - Model - INFO - Eval mean loss: 0.719373
2019-12-19 04:51:58,433 - Model - INFO - Eval accuracy: 0.775382
2019-12-19 04:51:58,433 - Model - INFO - **** Epoch 641 (641/1024) ****
2019-12-19 04:51:58,433 - Model - INFO - Learning rate:0.000343
2019-12-19 04:52:16,937 - Model - INFO - Training mean loss: 0.282422
2019-12-19 04:52:16,937 - Model - INFO - Training accuracy: 0.900151
2019-12-19 04:52:16,937 - Model - INFO - Save model...
2019-12-19 04:52:16,937 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:52:16,962 - Model - INFO - Saving model....
2019-12-19 04:52:16,963 - Model - INFO - ---- EPOCH 641 EVALUATION ----
2019-12-19 04:52:25,375 - Model - INFO - Eval mean loss: 0.964700
2019-12-19 04:52:25,375 - Model - INFO - Eval accuracy: 0.776418
2019-12-19 04:52:25,375 - Model - INFO - **** Epoch 642 (642/1024) ****
2019-12-19 04:52:25,376 - Model - INFO - Learning rate:0.000343
2019-12-19 04:52:42,825 - Model - INFO - Training mean loss: 0.277944
2019-12-19 04:52:42,825 - Model - INFO - Training accuracy: 0.905781
2019-12-19 04:52:42,827 - Model - INFO - ---- EPOCH 642 EVALUATION ----
2019-12-19 04:52:51,243 - Model - INFO - Eval mean loss: 0.807187
2019-12-19 04:52:51,243 - Model - INFO - Eval accuracy: 0.775821
2019-12-19 04:52:51,243 - Model - INFO - **** Epoch 643 (643/1024) ****
2019-12-19 04:52:51,243 - Model - INFO - Learning rate:0.000343
2019-12-19 04:53:09,285 - Model - INFO - Training mean loss: 0.254165
2019-12-19 04:53:09,286 - Model - INFO - Training accuracy: 0.911956
2019-12-19 04:53:09,287 - Model - INFO - ---- EPOCH 643 EVALUATION ----
2019-12-19 04:53:17,800 - Model - INFO - Eval mean loss: 0.886289
2019-12-19 04:53:17,801 - Model - INFO - Eval accuracy: 0.778212
2019-12-19 04:53:17,801 - Model - INFO - **** Epoch 644 (644/1024) ****
2019-12-19 04:53:17,801 - Model - INFO - Learning rate:0.000343
2019-12-19 04:53:34,950 - Model - INFO - Training mean loss: 0.261272
2019-12-19 04:53:34,950 - Model - INFO - Training accuracy: 0.910527
2019-12-19 04:53:34,952 - Model - INFO - ---- EPOCH 644 EVALUATION ----
2019-12-19 04:53:43,421 - Model - INFO - Eval mean loss: 0.667676
2019-12-19 04:53:43,421 - Model - INFO - Eval accuracy: 0.801029
2019-12-19 04:53:43,421 - Model - INFO - **** Epoch 645 (645/1024) ****
2019-12-19 04:53:43,421 - Model - INFO - Learning rate:0.000343
2019-12-19 04:54:01,067 - Model - INFO - Training mean loss: 0.276507
2019-12-19 04:54:01,068 - Model - INFO - Training accuracy: 0.906690
2019-12-19 04:54:01,070 - Model - INFO - ---- EPOCH 645 EVALUATION ----
2019-12-19 04:54:09,648 - Model - INFO - Eval mean loss: 0.852584
2019-12-19 04:54:09,649 - Model - INFO - Eval accuracy: 0.767626
2019-12-19 04:54:09,649 - Model - INFO - **** Epoch 646 (646/1024) ****
2019-12-19 04:54:09,649 - Model - INFO - Learning rate:0.000343
2019-12-19 04:54:27,627 - Model - INFO - Training mean loss: 0.268821
2019-12-19 04:54:27,627 - Model - INFO - Training accuracy: 0.909370
2019-12-19 04:54:27,628 - Model - INFO - ---- EPOCH 646 EVALUATION ----
2019-12-19 04:54:36,088 - Model - INFO - Eval mean loss: 1.008950
2019-12-19 04:54:36,088 - Model - INFO - Eval accuracy: 0.746667
2019-12-19 04:54:36,089 - Model - INFO - **** Epoch 647 (647/1024) ****
2019-12-19 04:54:36,089 - Model - INFO - Learning rate:0.000343
2019-12-19 04:54:56,048 - Model - INFO - Training mean loss: 0.271714
2019-12-19 04:54:56,048 - Model - INFO - Training accuracy: 0.908210
2019-12-19 04:54:56,050 - Model - INFO - ---- EPOCH 647 EVALUATION ----
2019-12-19 04:55:04,454 - Model - INFO - Eval mean loss: 0.779796
2019-12-19 04:55:04,454 - Model - INFO - Eval accuracy: 0.773829
2019-12-19 04:55:04,454 - Model - INFO - **** Epoch 648 (648/1024) ****
2019-12-19 04:55:04,454 - Model - INFO - Learning rate:0.000343
2019-12-19 04:55:23,176 - Model - INFO - Training mean loss: 0.261333
2019-12-19 04:55:23,177 - Model - INFO - Training accuracy: 0.911653
2019-12-19 04:55:23,178 - Model - INFO - ---- EPOCH 648 EVALUATION ----
2019-12-19 04:55:31,518 - Model - INFO - Eval mean loss: 1.023036
2019-12-19 04:55:31,518 - Model - INFO - Eval accuracy: 0.757350
2019-12-19 04:55:31,519 - Model - INFO - **** Epoch 649 (649/1024) ****
2019-12-19 04:55:31,519 - Model - INFO - Learning rate:0.000343
2019-12-19 04:55:48,786 - Model - INFO - Training mean loss: 0.258930
2019-12-19 04:55:48,786 - Model - INFO - Training accuracy: 0.909837
2019-12-19 04:55:48,788 - Model - INFO - ---- EPOCH 649 EVALUATION ----
2019-12-19 04:55:57,304 - Model - INFO - Eval mean loss: 0.817590
2019-12-19 04:55:57,304 - Model - INFO - Eval accuracy: 0.773275
2019-12-19 04:55:57,305 - Model - INFO - **** Epoch 650 (650/1024) ****
2019-12-19 04:55:57,305 - Model - INFO - Learning rate:0.000343
2019-12-19 04:56:17,312 - Model - INFO - Training mean loss: 0.253424
2019-12-19 04:56:17,312 - Model - INFO - Training accuracy: 0.909129
2019-12-19 04:56:17,315 - Model - INFO - ---- EPOCH 650 EVALUATION ----
2019-12-19 04:56:25,908 - Model - INFO - Eval mean loss: 0.887480
2019-12-19 04:56:25,908 - Model - INFO - Eval accuracy: 0.759493
2019-12-19 04:56:25,908 - Model - INFO - **** Epoch 651 (651/1024) ****
2019-12-19 04:56:25,908 - Model - INFO - Learning rate:0.000343
2019-12-19 04:56:44,144 - Model - INFO - Training mean loss: 0.256883
2019-12-19 04:56:44,144 - Model - INFO - Training accuracy: 0.909977
2019-12-19 04:56:44,144 - Model - INFO - Save model...
2019-12-19 04:56:44,144 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 04:56:44,170 - Model - INFO - Saving model....
2019-12-19 04:56:44,171 - Model - INFO - ---- EPOCH 651 EVALUATION ----
2019-12-19 04:56:52,757 - Model - INFO - Eval mean loss: 0.923625
2019-12-19 04:56:52,758 - Model - INFO - Eval accuracy: 0.763472
2019-12-19 04:56:52,758 - Model - INFO - **** Epoch 652 (652/1024) ****
2019-12-19 04:56:52,758 - Model - INFO - Learning rate:0.000343
2019-12-19 04:57:10,542 - Model - INFO - Training mean loss: 0.276199
2019-12-19 04:57:10,543 - Model - INFO - Training accuracy: 0.909637
2019-12-19 04:57:10,544 - Model - INFO - ---- EPOCH 652 EVALUATION ----
2019-12-19 04:57:18,985 - Model - INFO - Eval mean loss: 0.725407
2019-12-19 04:57:18,985 - Model - INFO - Eval accuracy: 0.796660
2019-12-19 04:57:18,985 - Model - INFO - **** Epoch 653 (653/1024) ****
2019-12-19 04:57:18,986 - Model - INFO - Learning rate:0.000343
2019-12-19 04:57:35,946 - Model - INFO - Training mean loss: 0.271364
2019-12-19 04:57:35,946 - Model - INFO - Training accuracy: 0.907472
2019-12-19 04:57:35,947 - Model - INFO - ---- EPOCH 653 EVALUATION ----
2019-12-19 04:57:44,373 - Model - INFO - Eval mean loss: 0.585775
2019-12-19 04:57:44,373 - Model - INFO - Eval accuracy: 0.800827
2019-12-19 04:57:44,373 - Model - INFO - **** Epoch 654 (654/1024) ****
2019-12-19 04:57:44,373 - Model - INFO - Learning rate:0.000343
2019-12-19 04:58:01,768 - Model - INFO - Training mean loss: 0.272667
2019-12-19 04:58:01,768 - Model - INFO - Training accuracy: 0.905647
2019-12-19 04:58:01,769 - Model - INFO - ---- EPOCH 654 EVALUATION ----
2019-12-19 04:58:10,295 - Model - INFO - Eval mean loss: 1.055080
2019-12-19 04:58:10,296 - Model - INFO - Eval accuracy: 0.766598
2019-12-19 04:58:10,296 - Model - INFO - **** Epoch 655 (655/1024) ****
2019-12-19 04:58:10,296 - Model - INFO - Learning rate:0.000343
2019-12-19 04:58:28,352 - Model - INFO - Training mean loss: 0.265157
2019-12-19 04:58:28,353 - Model - INFO - Training accuracy: 0.911138
2019-12-19 04:58:28,355 - Model - INFO - ---- EPOCH 655 EVALUATION ----
2019-12-19 04:58:36,828 - Model - INFO - Eval mean loss: 0.887060
2019-12-19 04:58:36,829 - Model - INFO - Eval accuracy: 0.770979
2019-12-19 04:58:36,829 - Model - INFO - **** Epoch 656 (656/1024) ****
2019-12-19 04:58:36,829 - Model - INFO - Learning rate:0.000343
2019-12-19 04:58:56,507 - Model - INFO - Training mean loss: 0.245858
2019-12-19 04:58:56,507 - Model - INFO - Training accuracy: 0.914979
2019-12-19 04:58:56,509 - Model - INFO - ---- EPOCH 656 EVALUATION ----
2019-12-19 04:59:05,003 - Model - INFO - Eval mean loss: 0.800511
2019-12-19 04:59:05,003 - Model - INFO - Eval accuracy: 0.757026
2019-12-19 04:59:05,003 - Model - INFO - **** Epoch 657 (657/1024) ****
2019-12-19 04:59:05,003 - Model - INFO - Learning rate:0.000343
2019-12-19 04:59:22,891 - Model - INFO - Training mean loss: 0.244395
2019-12-19 04:59:22,891 - Model - INFO - Training accuracy: 0.914767
2019-12-19 04:59:22,893 - Model - INFO - ---- EPOCH 657 EVALUATION ----
2019-12-19 04:59:31,501 - Model - INFO - Eval mean loss: 0.796420
2019-12-19 04:59:31,502 - Model - INFO - Eval accuracy: 0.759104
2019-12-19 04:59:31,502 - Model - INFO - **** Epoch 658 (658/1024) ****
2019-12-19 04:59:31,502 - Model - INFO - Learning rate:0.000343
2019-12-19 04:59:49,544 - Model - INFO - Training mean loss: 0.295709
2019-12-19 04:59:49,545 - Model - INFO - Training accuracy: 0.903815
2019-12-19 04:59:49,546 - Model - INFO - ---- EPOCH 658 EVALUATION ----
2019-12-19 04:59:57,914 - Model - INFO - Eval mean loss: 0.828938
2019-12-19 04:59:57,914 - Model - INFO - Eval accuracy: 0.740114
2019-12-19 04:59:57,914 - Model - INFO - **** Epoch 659 (659/1024) ****
2019-12-19 04:59:57,914 - Model - INFO - Learning rate:0.000343
2019-12-19 05:00:16,318 - Model - INFO - Training mean loss: 0.265236
2019-12-19 05:00:16,318 - Model - INFO - Training accuracy: 0.909995
2019-12-19 05:00:16,320 - Model - INFO - ---- EPOCH 659 EVALUATION ----
2019-12-19 05:00:24,907 - Model - INFO - Eval mean loss: 1.003364
2019-12-19 05:00:24,907 - Model - INFO - Eval accuracy: 0.733175
2019-12-19 05:00:24,907 - Model - INFO - **** Epoch 660 (660/1024) ****
2019-12-19 05:00:24,908 - Model - INFO - Learning rate:0.000343
2019-12-19 05:00:43,287 - Model - INFO - Training mean loss: 0.282740
2019-12-19 05:00:43,287 - Model - INFO - Training accuracy: 0.904026
2019-12-19 05:00:43,289 - Model - INFO - ---- EPOCH 660 EVALUATION ----
2019-12-19 05:00:51,816 - Model - INFO - Eval mean loss: 0.853167
2019-12-19 05:00:51,816 - Model - INFO - Eval accuracy: 0.771995
2019-12-19 05:00:51,816 - Model - INFO - **** Epoch 661 (661/1024) ****
2019-12-19 05:00:51,816 - Model - INFO - Learning rate:0.000343
2019-12-19 05:01:10,058 - Model - INFO - Training mean loss: 0.265225
2019-12-19 05:01:10,058 - Model - INFO - Training accuracy: 0.907884
2019-12-19 05:01:10,058 - Model - INFO - Save model...
2019-12-19 05:01:10,058 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:01:10,084 - Model - INFO - Saving model....
2019-12-19 05:01:10,086 - Model - INFO - ---- EPOCH 661 EVALUATION ----
2019-12-19 05:01:18,704 - Model - INFO - Eval mean loss: 0.732000
2019-12-19 05:01:18,705 - Model - INFO - Eval accuracy: 0.795007
2019-12-19 05:01:18,705 - Model - INFO - **** Epoch 662 (662/1024) ****
2019-12-19 05:01:18,705 - Model - INFO - Learning rate:0.000343
2019-12-19 05:01:36,006 - Model - INFO - Training mean loss: 0.282501
2019-12-19 05:01:36,006 - Model - INFO - Training accuracy: 0.907003
2019-12-19 05:01:36,008 - Model - INFO - ---- EPOCH 662 EVALUATION ----
2019-12-19 05:01:44,558 - Model - INFO - Eval mean loss: 0.766250
2019-12-19 05:01:44,558 - Model - INFO - Eval accuracy: 0.790602
2019-12-19 05:01:44,558 - Model - INFO - **** Epoch 663 (663/1024) ****
2019-12-19 05:01:44,558 - Model - INFO - Learning rate:0.000343
2019-12-19 05:02:03,106 - Model - INFO - Training mean loss: 0.267441
2019-12-19 05:02:03,107 - Model - INFO - Training accuracy: 0.913602
2019-12-19 05:02:03,108 - Model - INFO - ---- EPOCH 663 EVALUATION ----
2019-12-19 05:02:11,554 - Model - INFO - Eval mean loss: 1.014449
2019-12-19 05:02:11,555 - Model - INFO - Eval accuracy: 0.760232
2019-12-19 05:02:11,555 - Model - INFO - **** Epoch 664 (664/1024) ****
2019-12-19 05:02:11,555 - Model - INFO - Learning rate:0.000343
2019-12-19 05:02:29,739 - Model - INFO - Training mean loss: 0.279950
2019-12-19 05:02:29,739 - Model - INFO - Training accuracy: 0.905591
2019-12-19 05:02:29,741 - Model - INFO - ---- EPOCH 664 EVALUATION ----
2019-12-19 05:02:38,197 - Model - INFO - Eval mean loss: 0.905921
2019-12-19 05:02:38,197 - Model - INFO - Eval accuracy: 0.769170
2019-12-19 05:02:38,197 - Model - INFO - **** Epoch 665 (665/1024) ****
2019-12-19 05:02:38,197 - Model - INFO - Learning rate:0.000343
2019-12-19 05:02:57,396 - Model - INFO - Training mean loss: 0.258580
2019-12-19 05:02:57,396 - Model - INFO - Training accuracy: 0.911442
2019-12-19 05:02:57,397 - Model - INFO - ---- EPOCH 665 EVALUATION ----
2019-12-19 05:03:05,967 - Model - INFO - Eval mean loss: 0.814994
2019-12-19 05:03:05,967 - Model - INFO - Eval accuracy: 0.756477
2019-12-19 05:03:05,968 - Model - INFO - **** Epoch 666 (666/1024) ****
2019-12-19 05:03:05,968 - Model - INFO - Learning rate:0.000343
2019-12-19 05:03:24,703 - Model - INFO - Training mean loss: 0.249768
2019-12-19 05:03:24,703 - Model - INFO - Training accuracy: 0.911947
2019-12-19 05:03:24,705 - Model - INFO - ---- EPOCH 666 EVALUATION ----
2019-12-19 05:03:33,323 - Model - INFO - Eval mean loss: 1.034428
2019-12-19 05:03:33,323 - Model - INFO - Eval accuracy: 0.754996
2019-12-19 05:03:33,323 - Model - INFO - **** Epoch 667 (667/1024) ****
2019-12-19 05:03:33,324 - Model - INFO - Learning rate:0.000343
2019-12-19 05:03:52,047 - Model - INFO - Training mean loss: 0.277455
2019-12-19 05:03:52,047 - Model - INFO - Training accuracy: 0.904905
2019-12-19 05:03:52,049 - Model - INFO - ---- EPOCH 667 EVALUATION ----
2019-12-19 05:04:00,512 - Model - INFO - Eval mean loss: 0.782023
2019-12-19 05:04:00,512 - Model - INFO - Eval accuracy: 0.783713
2019-12-19 05:04:00,512 - Model - INFO - **** Epoch 668 (668/1024) ****
2019-12-19 05:04:00,512 - Model - INFO - Learning rate:0.000343
2019-12-19 05:04:18,103 - Model - INFO - Training mean loss: 0.271210
2019-12-19 05:04:18,104 - Model - INFO - Training accuracy: 0.906707
2019-12-19 05:04:18,105 - Model - INFO - ---- EPOCH 668 EVALUATION ----
2019-12-19 05:04:26,544 - Model - INFO - Eval mean loss: 0.914868
2019-12-19 05:04:26,544 - Model - INFO - Eval accuracy: 0.760835
2019-12-19 05:04:26,544 - Model - INFO - **** Epoch 669 (669/1024) ****
2019-12-19 05:04:26,545 - Model - INFO - Learning rate:0.000343
2019-12-19 05:04:44,160 - Model - INFO - Training mean loss: 0.258120
2019-12-19 05:04:44,161 - Model - INFO - Training accuracy: 0.910822
2019-12-19 05:04:44,163 - Model - INFO - ---- EPOCH 669 EVALUATION ----
2019-12-19 05:04:52,580 - Model - INFO - Eval mean loss: 0.742375
2019-12-19 05:04:52,580 - Model - INFO - Eval accuracy: 0.788491
2019-12-19 05:04:52,580 - Model - INFO - **** Epoch 670 (670/1024) ****
2019-12-19 05:04:52,580 - Model - INFO - Learning rate:0.000343
2019-12-19 05:05:10,708 - Model - INFO - Training mean loss: 0.275351
2019-12-19 05:05:10,708 - Model - INFO - Training accuracy: 0.905710
2019-12-19 05:05:10,710 - Model - INFO - ---- EPOCH 670 EVALUATION ----
2019-12-19 05:05:19,148 - Model - INFO - Eval mean loss: 0.675537
2019-12-19 05:05:19,148 - Model - INFO - Eval accuracy: 0.793508
2019-12-19 05:05:19,148 - Model - INFO - **** Epoch 671 (671/1024) ****
2019-12-19 05:05:19,148 - Model - INFO - Learning rate:0.000343
2019-12-19 05:05:37,528 - Model - INFO - Training mean loss: 0.246943
2019-12-19 05:05:37,528 - Model - INFO - Training accuracy: 0.914638
2019-12-19 05:05:37,528 - Model - INFO - Save model...
2019-12-19 05:05:37,528 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:05:37,557 - Model - INFO - Saving model....
2019-12-19 05:05:37,558 - Model - INFO - ---- EPOCH 671 EVALUATION ----
2019-12-19 05:05:45,966 - Model - INFO - Eval mean loss: 0.827399
2019-12-19 05:05:45,966 - Model - INFO - Eval accuracy: 0.788454
2019-12-19 05:05:45,966 - Model - INFO - **** Epoch 672 (672/1024) ****
2019-12-19 05:05:45,966 - Model - INFO - Learning rate:0.000343
2019-12-19 05:06:04,898 - Model - INFO - Training mean loss: 0.245593
2019-12-19 05:06:04,898 - Model - INFO - Training accuracy: 0.918682
2019-12-19 05:06:04,900 - Model - INFO - ---- EPOCH 672 EVALUATION ----
2019-12-19 05:06:13,324 - Model - INFO - Eval mean loss: 0.915194
2019-12-19 05:06:13,324 - Model - INFO - Eval accuracy: 0.765876
2019-12-19 05:06:13,324 - Model - INFO - **** Epoch 673 (673/1024) ****
2019-12-19 05:06:13,324 - Model - INFO - Learning rate:0.000343
2019-12-19 05:06:32,337 - Model - INFO - Training mean loss: 0.253437
2019-12-19 05:06:32,337 - Model - INFO - Training accuracy: 0.912066
2019-12-19 05:06:32,339 - Model - INFO - ---- EPOCH 673 EVALUATION ----
2019-12-19 05:06:40,839 - Model - INFO - Eval mean loss: 0.727188
2019-12-19 05:06:40,839 - Model - INFO - Eval accuracy: 0.780117
2019-12-19 05:06:40,839 - Model - INFO - **** Epoch 674 (674/1024) ****
2019-12-19 05:06:40,839 - Model - INFO - Learning rate:0.000343
2019-12-19 05:06:59,171 - Model - INFO - Training mean loss: 0.244404
2019-12-19 05:06:59,171 - Model - INFO - Training accuracy: 0.911647
2019-12-19 05:06:59,173 - Model - INFO - ---- EPOCH 674 EVALUATION ----
2019-12-19 05:07:07,601 - Model - INFO - Eval mean loss: 0.952211
2019-12-19 05:07:07,601 - Model - INFO - Eval accuracy: 0.773175
2019-12-19 05:07:07,601 - Model - INFO - **** Epoch 675 (675/1024) ****
2019-12-19 05:07:07,601 - Model - INFO - Learning rate:0.000343
2019-12-19 05:07:24,913 - Model - INFO - Training mean loss: 0.249025
2019-12-19 05:07:24,913 - Model - INFO - Training accuracy: 0.919641
2019-12-19 05:07:24,915 - Model - INFO - ---- EPOCH 675 EVALUATION ----
2019-12-19 05:07:33,314 - Model - INFO - Eval mean loss: 0.774270
2019-12-19 05:07:33,314 - Model - INFO - Eval accuracy: 0.782842
2019-12-19 05:07:33,314 - Model - INFO - **** Epoch 676 (676/1024) ****
2019-12-19 05:07:33,314 - Model - INFO - Learning rate:0.000343
2019-12-19 05:07:51,542 - Model - INFO - Training mean loss: 0.252380
2019-12-19 05:07:51,542 - Model - INFO - Training accuracy: 0.913425
2019-12-19 05:07:51,544 - Model - INFO - ---- EPOCH 676 EVALUATION ----
2019-12-19 05:08:00,042 - Model - INFO - Eval mean loss: 0.783509
2019-12-19 05:08:00,042 - Model - INFO - Eval accuracy: 0.767024
2019-12-19 05:08:00,042 - Model - INFO - **** Epoch 677 (677/1024) ****
2019-12-19 05:08:00,042 - Model - INFO - Learning rate:0.000343
2019-12-19 05:08:18,149 - Model - INFO - Training mean loss: 0.262971
2019-12-19 05:08:18,149 - Model - INFO - Training accuracy: 0.911077
2019-12-19 05:08:18,151 - Model - INFO - ---- EPOCH 677 EVALUATION ----
2019-12-19 05:08:26,583 - Model - INFO - Eval mean loss: 0.810869
2019-12-19 05:08:26,583 - Model - INFO - Eval accuracy: 0.785843
2019-12-19 05:08:26,583 - Model - INFO - **** Epoch 678 (678/1024) ****
2019-12-19 05:08:26,583 - Model - INFO - Learning rate:0.000343
2019-12-19 05:08:43,940 - Model - INFO - Training mean loss: 0.273650
2019-12-19 05:08:43,940 - Model - INFO - Training accuracy: 0.909152
2019-12-19 05:08:43,942 - Model - INFO - ---- EPOCH 678 EVALUATION ----
2019-12-19 05:08:52,747 - Model - INFO - Eval mean loss: 0.841844
2019-12-19 05:08:52,747 - Model - INFO - Eval accuracy: 0.765639
2019-12-19 05:08:52,747 - Model - INFO - **** Epoch 679 (679/1024) ****
2019-12-19 05:08:52,748 - Model - INFO - Learning rate:0.000343
2019-12-19 05:09:11,102 - Model - INFO - Training mean loss: 0.250933
2019-12-19 05:09:11,102 - Model - INFO - Training accuracy: 0.911436
2019-12-19 05:09:11,103 - Model - INFO - ---- EPOCH 679 EVALUATION ----
2019-12-19 05:09:20,117 - Model - INFO - Eval mean loss: 0.884062
2019-12-19 05:09:20,118 - Model - INFO - Eval accuracy: 0.759505
2019-12-19 05:09:20,118 - Model - INFO - **** Epoch 680 (680/1024) ****
2019-12-19 05:09:20,118 - Model - INFO - Learning rate:0.000343
2019-12-19 05:09:38,220 - Model - INFO - Training mean loss: 0.259205
2019-12-19 05:09:38,220 - Model - INFO - Training accuracy: 0.909517
2019-12-19 05:09:38,222 - Model - INFO - ---- EPOCH 680 EVALUATION ----
2019-12-19 05:09:46,777 - Model - INFO - Eval mean loss: 0.827307
2019-12-19 05:09:46,777 - Model - INFO - Eval accuracy: 0.771937
2019-12-19 05:09:46,777 - Model - INFO - **** Epoch 681 (681/1024) ****
2019-12-19 05:09:46,777 - Model - INFO - Learning rate:0.000343
2019-12-19 05:10:05,756 - Model - INFO - Training mean loss: 0.263315
2019-12-19 05:10:05,756 - Model - INFO - Training accuracy: 0.908206
2019-12-19 05:10:05,756 - Model - INFO - Save model...
2019-12-19 05:10:05,756 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:10:05,784 - Model - INFO - Saving model....
2019-12-19 05:10:05,785 - Model - INFO - ---- EPOCH 681 EVALUATION ----
2019-12-19 05:10:14,259 - Model - INFO - Eval mean loss: 0.775079
2019-12-19 05:10:14,259 - Model - INFO - Eval accuracy: 0.771922
2019-12-19 05:10:14,260 - Model - INFO - **** Epoch 682 (682/1024) ****
2019-12-19 05:10:14,260 - Model - INFO - Learning rate:0.000343
2019-12-19 05:10:32,725 - Model - INFO - Training mean loss: 0.244492
2019-12-19 05:10:32,726 - Model - INFO - Training accuracy: 0.916959
2019-12-19 05:10:32,727 - Model - INFO - ---- EPOCH 682 EVALUATION ----
2019-12-19 05:10:41,355 - Model - INFO - Eval mean loss: 0.879804
2019-12-19 05:10:41,355 - Model - INFO - Eval accuracy: 0.760468
2019-12-19 05:10:41,355 - Model - INFO - **** Epoch 683 (683/1024) ****
2019-12-19 05:10:41,356 - Model - INFO - Learning rate:0.000343
2019-12-19 05:10:59,830 - Model - INFO - Training mean loss: 0.249223
2019-12-19 05:10:59,830 - Model - INFO - Training accuracy: 0.914672
2019-12-19 05:10:59,832 - Model - INFO - ---- EPOCH 683 EVALUATION ----
2019-12-19 05:11:08,393 - Model - INFO - Eval mean loss: 0.995250
2019-12-19 05:11:08,393 - Model - INFO - Eval accuracy: 0.763470
2019-12-19 05:11:08,394 - Model - INFO - **** Epoch 684 (684/1024) ****
2019-12-19 05:11:08,394 - Model - INFO - Learning rate:0.000343
2019-12-19 05:11:26,482 - Model - INFO - Training mean loss: 0.245427
2019-12-19 05:11:26,482 - Model - INFO - Training accuracy: 0.915564
2019-12-19 05:11:26,484 - Model - INFO - ---- EPOCH 684 EVALUATION ----
2019-12-19 05:11:35,180 - Model - INFO - Eval mean loss: 0.904876
2019-12-19 05:11:35,180 - Model - INFO - Eval accuracy: 0.760781
2019-12-19 05:11:35,180 - Model - INFO - **** Epoch 685 (685/1024) ****
2019-12-19 05:11:35,180 - Model - INFO - Learning rate:0.000343
2019-12-19 05:11:54,425 - Model - INFO - Training mean loss: 0.257398
2019-12-19 05:11:54,426 - Model - INFO - Training accuracy: 0.912540
2019-12-19 05:11:54,427 - Model - INFO - ---- EPOCH 685 EVALUATION ----
2019-12-19 05:12:03,286 - Model - INFO - Eval mean loss: 0.758762
2019-12-19 05:12:03,286 - Model - INFO - Eval accuracy: 0.767261
2019-12-19 05:12:03,286 - Model - INFO - **** Epoch 686 (686/1024) ****
2019-12-19 05:12:03,286 - Model - INFO - Learning rate:0.000343
2019-12-19 05:12:21,005 - Model - INFO - Training mean loss: 0.252595
2019-12-19 05:12:21,005 - Model - INFO - Training accuracy: 0.911273
2019-12-19 05:12:21,007 - Model - INFO - ---- EPOCH 686 EVALUATION ----
2019-12-19 05:12:29,532 - Model - INFO - Eval mean loss: 0.829273
2019-12-19 05:12:29,532 - Model - INFO - Eval accuracy: 0.756376
2019-12-19 05:12:29,532 - Model - INFO - **** Epoch 687 (687/1024) ****
2019-12-19 05:12:29,532 - Model - INFO - Learning rate:0.000343
2019-12-19 05:12:47,853 - Model - INFO - Training mean loss: 0.244995
2019-12-19 05:12:47,853 - Model - INFO - Training accuracy: 0.918622
2019-12-19 05:12:47,854 - Model - INFO - ---- EPOCH 687 EVALUATION ----
2019-12-19 05:12:56,411 - Model - INFO - Eval mean loss: 0.739204
2019-12-19 05:12:56,412 - Model - INFO - Eval accuracy: 0.765333
2019-12-19 05:12:56,412 - Model - INFO - **** Epoch 688 (688/1024) ****
2019-12-19 05:12:56,412 - Model - INFO - Learning rate:0.000343
2019-12-19 05:13:14,792 - Model - INFO - Training mean loss: 0.270798
2019-12-19 05:13:14,792 - Model - INFO - Training accuracy: 0.907800
2019-12-19 05:13:14,794 - Model - INFO - ---- EPOCH 688 EVALUATION ----
2019-12-19 05:13:23,360 - Model - INFO - Eval mean loss: 0.663428
2019-12-19 05:13:23,360 - Model - INFO - Eval accuracy: 0.802258
2019-12-19 05:13:23,360 - Model - INFO - **** Epoch 689 (689/1024) ****
2019-12-19 05:13:23,361 - Model - INFO - Learning rate:0.000343
2019-12-19 05:13:40,848 - Model - INFO - Training mean loss: 0.242194
2019-12-19 05:13:40,848 - Model - INFO - Training accuracy: 0.919726
2019-12-19 05:13:40,849 - Model - INFO - ---- EPOCH 689 EVALUATION ----
2019-12-19 05:13:49,479 - Model - INFO - Eval mean loss: 0.862400
2019-12-19 05:13:49,480 - Model - INFO - Eval accuracy: 0.774534
2019-12-19 05:13:49,480 - Model - INFO - **** Epoch 690 (690/1024) ****
2019-12-19 05:13:49,480 - Model - INFO - Learning rate:0.000343
2019-12-19 05:14:07,829 - Model - INFO - Training mean loss: 0.264628
2019-12-19 05:14:07,830 - Model - INFO - Training accuracy: 0.911892
2019-12-19 05:14:07,831 - Model - INFO - ---- EPOCH 690 EVALUATION ----
2019-12-19 05:14:16,318 - Model - INFO - Eval mean loss: 0.955557
2019-12-19 05:14:16,319 - Model - INFO - Eval accuracy: 0.761080
2019-12-19 05:14:16,319 - Model - INFO - **** Epoch 691 (691/1024) ****
2019-12-19 05:14:16,319 - Model - INFO - Learning rate:0.000343
2019-12-19 05:14:35,013 - Model - INFO - Training mean loss: 0.260532
2019-12-19 05:14:35,013 - Model - INFO - Training accuracy: 0.912181
2019-12-19 05:14:35,013 - Model - INFO - Save model...
2019-12-19 05:14:35,013 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:14:35,039 - Model - INFO - Saving model....
2019-12-19 05:14:35,041 - Model - INFO - ---- EPOCH 691 EVALUATION ----
2019-12-19 05:14:43,483 - Model - INFO - Eval mean loss: 0.694976
2019-12-19 05:14:43,483 - Model - INFO - Eval accuracy: 0.800290
2019-12-19 05:14:43,483 - Model - INFO - **** Epoch 692 (692/1024) ****
2019-12-19 05:14:43,483 - Model - INFO - Learning rate:0.000343
2019-12-19 05:15:02,033 - Model - INFO - Training mean loss: 0.266508
2019-12-19 05:15:02,034 - Model - INFO - Training accuracy: 0.909946
2019-12-19 05:15:02,035 - Model - INFO - ---- EPOCH 692 EVALUATION ----
2019-12-19 05:15:10,552 - Model - INFO - Eval mean loss: 0.814173
2019-12-19 05:15:10,552 - Model - INFO - Eval accuracy: 0.788398
2019-12-19 05:15:10,552 - Model - INFO - **** Epoch 693 (693/1024) ****
2019-12-19 05:15:10,552 - Model - INFO - Learning rate:0.000343
2019-12-19 05:15:28,316 - Model - INFO - Training mean loss: 0.236851
2019-12-19 05:15:28,317 - Model - INFO - Training accuracy: 0.919061
2019-12-19 05:15:28,318 - Model - INFO - ---- EPOCH 693 EVALUATION ----
2019-12-19 05:15:36,919 - Model - INFO - Eval mean loss: 0.817107
2019-12-19 05:15:36,919 - Model - INFO - Eval accuracy: 0.770908
2019-12-19 05:15:36,920 - Model - INFO - **** Epoch 694 (694/1024) ****
2019-12-19 05:15:36,920 - Model - INFO - Learning rate:0.000343
2019-12-19 05:15:55,142 - Model - INFO - Training mean loss: 0.270196
2019-12-19 05:15:55,142 - Model - INFO - Training accuracy: 0.906641
2019-12-19 05:15:55,144 - Model - INFO - ---- EPOCH 694 EVALUATION ----
2019-12-19 05:16:03,648 - Model - INFO - Eval mean loss: 1.071272
2019-12-19 05:16:03,648 - Model - INFO - Eval accuracy: 0.738520
2019-12-19 05:16:03,648 - Model - INFO - **** Epoch 695 (695/1024) ****
2019-12-19 05:16:03,648 - Model - INFO - Learning rate:0.000343
2019-12-19 05:16:23,260 - Model - INFO - Training mean loss: 0.275808
2019-12-19 05:16:23,261 - Model - INFO - Training accuracy: 0.906043
2019-12-19 05:16:23,263 - Model - INFO - ---- EPOCH 695 EVALUATION ----
2019-12-19 05:16:31,808 - Model - INFO - Eval mean loss: 0.726551
2019-12-19 05:16:31,809 - Model - INFO - Eval accuracy: 0.781979
2019-12-19 05:16:31,809 - Model - INFO - **** Epoch 696 (696/1024) ****
2019-12-19 05:16:31,809 - Model - INFO - Learning rate:0.000343
2019-12-19 05:16:49,568 - Model - INFO - Training mean loss: 0.270163
2019-12-19 05:16:49,569 - Model - INFO - Training accuracy: 0.906786
2019-12-19 05:16:49,571 - Model - INFO - ---- EPOCH 696 EVALUATION ----
2019-12-19 05:16:58,176 - Model - INFO - Eval mean loss: 0.815723
2019-12-19 05:16:58,177 - Model - INFO - Eval accuracy: 0.764620
2019-12-19 05:16:58,177 - Model - INFO - **** Epoch 697 (697/1024) ****
2019-12-19 05:16:58,177 - Model - INFO - Learning rate:0.000343
2019-12-19 05:17:16,077 - Model - INFO - Training mean loss: 0.282930
2019-12-19 05:17:16,078 - Model - INFO - Training accuracy: 0.905699
2019-12-19 05:17:16,079 - Model - INFO - ---- EPOCH 697 EVALUATION ----
2019-12-19 05:17:24,608 - Model - INFO - Eval mean loss: 0.852924
2019-12-19 05:17:24,608 - Model - INFO - Eval accuracy: 0.770489
2019-12-19 05:17:24,608 - Model - INFO - **** Epoch 698 (698/1024) ****
2019-12-19 05:17:24,608 - Model - INFO - Learning rate:0.000343
2019-12-19 05:17:42,658 - Model - INFO - Training mean loss: 0.244252
2019-12-19 05:17:42,658 - Model - INFO - Training accuracy: 0.914782
2019-12-19 05:17:42,660 - Model - INFO - ---- EPOCH 698 EVALUATION ----
2019-12-19 05:17:51,230 - Model - INFO - Eval mean loss: 0.772196
2019-12-19 05:17:51,230 - Model - INFO - Eval accuracy: 0.776806
2019-12-19 05:17:51,230 - Model - INFO - **** Epoch 699 (699/1024) ****
2019-12-19 05:17:51,230 - Model - INFO - Learning rate:0.000343
2019-12-19 05:18:08,750 - Model - INFO - Training mean loss: 0.255334
2019-12-19 05:18:08,750 - Model - INFO - Training accuracy: 0.912705
2019-12-19 05:18:08,751 - Model - INFO - ---- EPOCH 699 EVALUATION ----
2019-12-19 05:18:17,208 - Model - INFO - Eval mean loss: 0.826147
2019-12-19 05:18:17,208 - Model - INFO - Eval accuracy: 0.776310
2019-12-19 05:18:17,208 - Model - INFO - **** Epoch 700 (700/1024) ****
2019-12-19 05:18:17,209 - Model - INFO - Learning rate:0.000343
2019-12-19 05:18:34,843 - Model - INFO - Training mean loss: 0.243108
2019-12-19 05:18:34,843 - Model - INFO - Training accuracy: 0.915561
2019-12-19 05:18:34,844 - Model - INFO - ---- EPOCH 700 EVALUATION ----
2019-12-19 05:18:43,302 - Model - INFO - Eval mean loss: 0.726096
2019-12-19 05:18:43,302 - Model - INFO - Eval accuracy: 0.787911
2019-12-19 05:18:43,302 - Model - INFO - **** Epoch 701 (701/1024) ****
2019-12-19 05:18:43,302 - Model - INFO - Learning rate:0.000343
2019-12-19 05:19:00,726 - Model - INFO - Training mean loss: 0.247753
2019-12-19 05:19:00,726 - Model - INFO - Training accuracy: 0.916735
2019-12-19 05:19:00,726 - Model - INFO - Save model...
2019-12-19 05:19:00,726 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:19:00,751 - Model - INFO - Saving model....
2019-12-19 05:19:00,753 - Model - INFO - ---- EPOCH 701 EVALUATION ----
2019-12-19 05:19:09,526 - Model - INFO - Eval mean loss: 0.865548
2019-12-19 05:19:09,527 - Model - INFO - Eval accuracy: 0.775240
2019-12-19 05:19:09,527 - Model - INFO - **** Epoch 702 (702/1024) ****
2019-12-19 05:19:09,527 - Model - INFO - Learning rate:0.000343
2019-12-19 05:19:28,221 - Model - INFO - Training mean loss: 0.252488
2019-12-19 05:19:28,221 - Model - INFO - Training accuracy: 0.912238
2019-12-19 05:19:28,222 - Model - INFO - ---- EPOCH 702 EVALUATION ----
2019-12-19 05:19:36,745 - Model - INFO - Eval mean loss: 0.950118
2019-12-19 05:19:36,745 - Model - INFO - Eval accuracy: 0.753855
2019-12-19 05:19:36,745 - Model - INFO - **** Epoch 703 (703/1024) ****
2019-12-19 05:19:36,745 - Model - INFO - Learning rate:0.000343
2019-12-19 05:19:54,878 - Model - INFO - Training mean loss: 0.250398
2019-12-19 05:19:54,878 - Model - INFO - Training accuracy: 0.915641
2019-12-19 05:19:54,880 - Model - INFO - ---- EPOCH 703 EVALUATION ----
2019-12-19 05:20:03,524 - Model - INFO - Eval mean loss: 0.815776
2019-12-19 05:20:03,524 - Model - INFO - Eval accuracy: 0.773853
2019-12-19 05:20:03,524 - Model - INFO - **** Epoch 704 (704/1024) ****
2019-12-19 05:20:03,525 - Model - INFO - Learning rate:0.000343
2019-12-19 05:20:22,590 - Model - INFO - Training mean loss: 0.254068
2019-12-19 05:20:22,590 - Model - INFO - Training accuracy: 0.913890
2019-12-19 05:20:22,592 - Model - INFO - ---- EPOCH 704 EVALUATION ----
2019-12-19 05:20:31,287 - Model - INFO - Eval mean loss: 0.829973
2019-12-19 05:20:31,288 - Model - INFO - Eval accuracy: 0.769087
2019-12-19 05:20:31,288 - Model - INFO - **** Epoch 705 (705/1024) ****
2019-12-19 05:20:31,288 - Model - INFO - Learning rate:0.000343
2019-12-19 05:20:49,120 - Model - INFO - Training mean loss: 0.257584
2019-12-19 05:20:49,120 - Model - INFO - Training accuracy: 0.915051
2019-12-19 05:20:49,122 - Model - INFO - ---- EPOCH 705 EVALUATION ----
2019-12-19 05:20:57,664 - Model - INFO - Eval mean loss: 0.764088
2019-12-19 05:20:57,664 - Model - INFO - Eval accuracy: 0.782971
2019-12-19 05:20:57,664 - Model - INFO - **** Epoch 706 (706/1024) ****
2019-12-19 05:20:57,664 - Model - INFO - Learning rate:0.000343
2019-12-19 05:21:16,420 - Model - INFO - Training mean loss: 0.245045
2019-12-19 05:21:16,420 - Model - INFO - Training accuracy: 0.915873
2019-12-19 05:21:16,422 - Model - INFO - ---- EPOCH 706 EVALUATION ----
2019-12-19 05:21:24,972 - Model - INFO - Eval mean loss: 0.917925
2019-12-19 05:21:24,972 - Model - INFO - Eval accuracy: 0.778458
2019-12-19 05:21:24,973 - Model - INFO - **** Epoch 707 (707/1024) ****
2019-12-19 05:21:24,973 - Model - INFO - Learning rate:0.000343
2019-12-19 05:21:43,956 - Model - INFO - Training mean loss: 0.245901
2019-12-19 05:21:43,956 - Model - INFO - Training accuracy: 0.915226
2019-12-19 05:21:43,957 - Model - INFO - ---- EPOCH 707 EVALUATION ----
2019-12-19 05:21:52,446 - Model - INFO - Eval mean loss: 0.747763
2019-12-19 05:21:52,446 - Model - INFO - Eval accuracy: 0.793267
2019-12-19 05:21:52,447 - Model - INFO - **** Epoch 708 (708/1024) ****
2019-12-19 05:21:52,447 - Model - INFO - Learning rate:0.000343
2019-12-19 05:22:10,228 - Model - INFO - Training mean loss: 0.243838
2019-12-19 05:22:10,228 - Model - INFO - Training accuracy: 0.915959
2019-12-19 05:22:10,230 - Model - INFO - ---- EPOCH 708 EVALUATION ----
2019-12-19 05:22:18,777 - Model - INFO - Eval mean loss: 0.898329
2019-12-19 05:22:18,777 - Model - INFO - Eval accuracy: 0.772129
2019-12-19 05:22:18,777 - Model - INFO - **** Epoch 709 (709/1024) ****
2019-12-19 05:22:18,777 - Model - INFO - Learning rate:0.000343
2019-12-19 05:22:37,933 - Model - INFO - Training mean loss: 0.243863
2019-12-19 05:22:37,933 - Model - INFO - Training accuracy: 0.916814
2019-12-19 05:22:37,935 - Model - INFO - ---- EPOCH 709 EVALUATION ----
2019-12-19 05:22:46,391 - Model - INFO - Eval mean loss: 1.038073
2019-12-19 05:22:46,391 - Model - INFO - Eval accuracy: 0.752075
2019-12-19 05:22:46,391 - Model - INFO - **** Epoch 710 (710/1024) ****
2019-12-19 05:22:46,391 - Model - INFO - Learning rate:0.000343
2019-12-19 05:23:04,154 - Model - INFO - Training mean loss: 0.263812
2019-12-19 05:23:04,155 - Model - INFO - Training accuracy: 0.912292
2019-12-19 05:23:04,156 - Model - INFO - ---- EPOCH 710 EVALUATION ----
2019-12-19 05:23:12,743 - Model - INFO - Eval mean loss: 1.073399
2019-12-19 05:23:12,744 - Model - INFO - Eval accuracy: 0.749852
2019-12-19 05:23:12,744 - Model - INFO - **** Epoch 711 (711/1024) ****
2019-12-19 05:23:12,744 - Model - INFO - Learning rate:0.000343
2019-12-19 05:23:30,478 - Model - INFO - Training mean loss: 0.257705
2019-12-19 05:23:30,479 - Model - INFO - Training accuracy: 0.910814
2019-12-19 05:23:30,479 - Model - INFO - Save model...
2019-12-19 05:23:30,479 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:23:30,525 - Model - INFO - Saving model....
2019-12-19 05:23:30,527 - Model - INFO - ---- EPOCH 711 EVALUATION ----
2019-12-19 05:23:39,231 - Model - INFO - Eval mean loss: 0.773392
2019-12-19 05:23:39,231 - Model - INFO - Eval accuracy: 0.776594
2019-12-19 05:23:39,232 - Model - INFO - **** Epoch 712 (712/1024) ****
2019-12-19 05:23:39,232 - Model - INFO - Learning rate:0.000343
2019-12-19 05:23:56,360 - Model - INFO - Training mean loss: 0.250542
2019-12-19 05:23:56,361 - Model - INFO - Training accuracy: 0.915921
2019-12-19 05:23:56,363 - Model - INFO - ---- EPOCH 712 EVALUATION ----
2019-12-19 05:24:04,852 - Model - INFO - Eval mean loss: 0.752192
2019-12-19 05:24:04,852 - Model - INFO - Eval accuracy: 0.777707
2019-12-19 05:24:04,853 - Model - INFO - **** Epoch 713 (713/1024) ****
2019-12-19 05:24:04,853 - Model - INFO - Learning rate:0.000343
2019-12-19 05:24:22,287 - Model - INFO - Training mean loss: 0.253742
2019-12-19 05:24:22,287 - Model - INFO - Training accuracy: 0.915506
2019-12-19 05:24:22,288 - Model - INFO - ---- EPOCH 713 EVALUATION ----
2019-12-19 05:24:30,704 - Model - INFO - Eval mean loss: 0.793222
2019-12-19 05:24:30,704 - Model - INFO - Eval accuracy: 0.752489
2019-12-19 05:24:30,704 - Model - INFO - **** Epoch 714 (714/1024) ****
2019-12-19 05:24:30,704 - Model - INFO - Learning rate:0.000343
2019-12-19 05:24:50,272 - Model - INFO - Training mean loss: 0.256458
2019-12-19 05:24:50,272 - Model - INFO - Training accuracy: 0.911455
2019-12-19 05:24:50,274 - Model - INFO - ---- EPOCH 714 EVALUATION ----
2019-12-19 05:24:58,810 - Model - INFO - Eval mean loss: 0.761604
2019-12-19 05:24:58,810 - Model - INFO - Eval accuracy: 0.784773
2019-12-19 05:24:58,811 - Model - INFO - **** Epoch 715 (715/1024) ****
2019-12-19 05:24:58,811 - Model - INFO - Learning rate:0.000343
2019-12-19 05:25:16,543 - Model - INFO - Training mean loss: 0.265173
2019-12-19 05:25:16,543 - Model - INFO - Training accuracy: 0.909666
2019-12-19 05:25:16,544 - Model - INFO - ---- EPOCH 715 EVALUATION ----
2019-12-19 05:25:25,166 - Model - INFO - Eval mean loss: 0.850142
2019-12-19 05:25:25,166 - Model - INFO - Eval accuracy: 0.770945
2019-12-19 05:25:25,167 - Model - INFO - **** Epoch 716 (716/1024) ****
2019-12-19 05:25:25,167 - Model - INFO - Learning rate:0.000343
2019-12-19 05:25:43,254 - Model - INFO - Training mean loss: 0.258055
2019-12-19 05:25:43,254 - Model - INFO - Training accuracy: 0.913935
2019-12-19 05:25:43,256 - Model - INFO - ---- EPOCH 716 EVALUATION ----
2019-12-19 05:25:51,877 - Model - INFO - Eval mean loss: 0.870173
2019-12-19 05:25:51,878 - Model - INFO - Eval accuracy: 0.759401
2019-12-19 05:25:51,878 - Model - INFO - **** Epoch 717 (717/1024) ****
2019-12-19 05:25:51,878 - Model - INFO - Learning rate:0.000343
2019-12-19 05:26:10,858 - Model - INFO - Training mean loss: 0.255685
2019-12-19 05:26:10,858 - Model - INFO - Training accuracy: 0.915275
2019-12-19 05:26:10,860 - Model - INFO - ---- EPOCH 717 EVALUATION ----
2019-12-19 05:26:19,399 - Model - INFO - Eval mean loss: 0.808996
2019-12-19 05:26:19,400 - Model - INFO - Eval accuracy: 0.778069
2019-12-19 05:26:19,400 - Model - INFO - **** Epoch 718 (718/1024) ****
2019-12-19 05:26:19,400 - Model - INFO - Learning rate:0.000343
2019-12-19 05:26:37,245 - Model - INFO - Training mean loss: 0.260558
2019-12-19 05:26:37,246 - Model - INFO - Training accuracy: 0.907887
2019-12-19 05:26:37,247 - Model - INFO - ---- EPOCH 718 EVALUATION ----
2019-12-19 05:26:45,583 - Model - INFO - Eval mean loss: 0.774299
2019-12-19 05:26:45,583 - Model - INFO - Eval accuracy: 0.768936
2019-12-19 05:26:45,583 - Model - INFO - **** Epoch 719 (719/1024) ****
2019-12-19 05:26:45,584 - Model - INFO - Learning rate:0.000343
2019-12-19 05:27:04,162 - Model - INFO - Training mean loss: 0.251390
2019-12-19 05:27:04,162 - Model - INFO - Training accuracy: 0.914202
2019-12-19 05:27:04,164 - Model - INFO - ---- EPOCH 719 EVALUATION ----
2019-12-19 05:27:12,785 - Model - INFO - Eval mean loss: 0.910455
2019-12-19 05:27:12,785 - Model - INFO - Eval accuracy: 0.751133
2019-12-19 05:27:12,785 - Model - INFO - **** Epoch 720 (720/1024) ****
2019-12-19 05:27:12,785 - Model - INFO - Learning rate:0.000343
2019-12-19 05:27:31,335 - Model - INFO - Training mean loss: 0.267051
2019-12-19 05:27:31,336 - Model - INFO - Training accuracy: 0.909385
2019-12-19 05:27:31,337 - Model - INFO - ---- EPOCH 720 EVALUATION ----
2019-12-19 05:27:39,783 - Model - INFO - Eval mean loss: 0.934144
2019-12-19 05:27:39,783 - Model - INFO - Eval accuracy: 0.755108
2019-12-19 05:27:39,783 - Model - INFO - **** Epoch 721 (721/1024) ****
2019-12-19 05:27:39,784 - Model - INFO - Learning rate:0.000343
2019-12-19 05:27:58,150 - Model - INFO - Training mean loss: 0.263784
2019-12-19 05:27:58,150 - Model - INFO - Training accuracy: 0.911356
2019-12-19 05:27:58,150 - Model - INFO - Save model...
2019-12-19 05:27:58,150 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:27:58,175 - Model - INFO - Saving model....
2019-12-19 05:27:58,177 - Model - INFO - ---- EPOCH 721 EVALUATION ----
2019-12-19 05:28:06,617 - Model - INFO - Eval mean loss: 1.004664
2019-12-19 05:28:06,617 - Model - INFO - Eval accuracy: 0.759494
2019-12-19 05:28:06,617 - Model - INFO - **** Epoch 722 (722/1024) ****
2019-12-19 05:28:06,617 - Model - INFO - Learning rate:0.000343
2019-12-19 05:28:24,235 - Model - INFO - Training mean loss: 0.244590
2019-12-19 05:28:24,236 - Model - INFO - Training accuracy: 0.912283
2019-12-19 05:28:24,237 - Model - INFO - ---- EPOCH 722 EVALUATION ----
2019-12-19 05:28:32,910 - Model - INFO - Eval mean loss: 0.886942
2019-12-19 05:28:32,911 - Model - INFO - Eval accuracy: 0.770053
2019-12-19 05:28:32,911 - Model - INFO - **** Epoch 723 (723/1024) ****
2019-12-19 05:28:32,911 - Model - INFO - Learning rate:0.000343
2019-12-19 05:28:50,102 - Model - INFO - Training mean loss: 0.252999
2019-12-19 05:28:50,102 - Model - INFO - Training accuracy: 0.915197
2019-12-19 05:28:50,104 - Model - INFO - ---- EPOCH 723 EVALUATION ----
2019-12-19 05:28:58,716 - Model - INFO - Eval mean loss: 0.848942
2019-12-19 05:28:58,716 - Model - INFO - Eval accuracy: 0.781355
2019-12-19 05:28:58,716 - Model - INFO - **** Epoch 724 (724/1024) ****
2019-12-19 05:28:58,716 - Model - INFO - Learning rate:0.000343
2019-12-19 05:29:17,507 - Model - INFO - Training mean loss: 0.249768
2019-12-19 05:29:17,507 - Model - INFO - Training accuracy: 0.914338
2019-12-19 05:29:17,509 - Model - INFO - ---- EPOCH 724 EVALUATION ----
2019-12-19 05:29:25,993 - Model - INFO - Eval mean loss: 0.703069
2019-12-19 05:29:25,993 - Model - INFO - Eval accuracy: 0.783925
2019-12-19 05:29:25,993 - Model - INFO - **** Epoch 725 (725/1024) ****
2019-12-19 05:29:25,993 - Model - INFO - Learning rate:0.000343
2019-12-19 05:29:43,573 - Model - INFO - Training mean loss: 0.232663
2019-12-19 05:29:43,573 - Model - INFO - Training accuracy: 0.920398
2019-12-19 05:29:43,575 - Model - INFO - ---- EPOCH 725 EVALUATION ----
2019-12-19 05:29:52,068 - Model - INFO - Eval mean loss: 0.860577
2019-12-19 05:29:52,068 - Model - INFO - Eval accuracy: 0.761583
2019-12-19 05:29:52,068 - Model - INFO - **** Epoch 726 (726/1024) ****
2019-12-19 05:29:52,068 - Model - INFO - Learning rate:0.000343
2019-12-19 05:30:10,303 - Model - INFO - Training mean loss: 0.257946
2019-12-19 05:30:10,304 - Model - INFO - Training accuracy: 0.913547
2019-12-19 05:30:10,305 - Model - INFO - ---- EPOCH 726 EVALUATION ----
2019-12-19 05:30:18,806 - Model - INFO - Eval mean loss: 0.721303
2019-12-19 05:30:18,806 - Model - INFO - Eval accuracy: 0.770577
2019-12-19 05:30:18,806 - Model - INFO - **** Epoch 727 (727/1024) ****
2019-12-19 05:30:18,806 - Model - INFO - Learning rate:0.000343
2019-12-19 05:30:36,394 - Model - INFO - Training mean loss: 0.256936
2019-12-19 05:30:36,394 - Model - INFO - Training accuracy: 0.914793
2019-12-19 05:30:36,395 - Model - INFO - ---- EPOCH 727 EVALUATION ----
2019-12-19 05:30:44,987 - Model - INFO - Eval mean loss: 0.798614
2019-12-19 05:30:44,987 - Model - INFO - Eval accuracy: 0.787788
2019-12-19 05:30:44,987 - Model - INFO - **** Epoch 728 (728/1024) ****
2019-12-19 05:30:44,987 - Model - INFO - Learning rate:0.000343
2019-12-19 05:31:02,300 - Model - INFO - Training mean loss: 0.252075
2019-12-19 05:31:02,300 - Model - INFO - Training accuracy: 0.914324
2019-12-19 05:31:02,301 - Model - INFO - ---- EPOCH 728 EVALUATION ----
2019-12-19 05:31:10,875 - Model - INFO - Eval mean loss: 0.750492
2019-12-19 05:31:10,875 - Model - INFO - Eval accuracy: 0.790437
2019-12-19 05:31:10,875 - Model - INFO - **** Epoch 729 (729/1024) ****
2019-12-19 05:31:10,875 - Model - INFO - Learning rate:0.000343
2019-12-19 05:31:28,518 - Model - INFO - Training mean loss: 0.259364
2019-12-19 05:31:28,518 - Model - INFO - Training accuracy: 0.913508
2019-12-19 05:31:28,519 - Model - INFO - ---- EPOCH 729 EVALUATION ----
2019-12-19 05:31:36,960 - Model - INFO - Eval mean loss: 0.790852
2019-12-19 05:31:36,960 - Model - INFO - Eval accuracy: 0.786009
2019-12-19 05:31:36,960 - Model - INFO - **** Epoch 730 (730/1024) ****
2019-12-19 05:31:36,960 - Model - INFO - Learning rate:0.000343
2019-12-19 05:31:55,260 - Model - INFO - Training mean loss: 0.241965
2019-12-19 05:31:55,260 - Model - INFO - Training accuracy: 0.915550
2019-12-19 05:31:55,262 - Model - INFO - ---- EPOCH 730 EVALUATION ----
2019-12-19 05:32:03,632 - Model - INFO - Eval mean loss: 0.848731
2019-12-19 05:32:03,632 - Model - INFO - Eval accuracy: 0.777759
2019-12-19 05:32:03,632 - Model - INFO - **** Epoch 731 (731/1024) ****
2019-12-19 05:32:03,632 - Model - INFO - Learning rate:0.000343
2019-12-19 05:32:21,917 - Model - INFO - Training mean loss: 0.238123
2019-12-19 05:32:21,917 - Model - INFO - Training accuracy: 0.917196
2019-12-19 05:32:21,917 - Model - INFO - Save model...
2019-12-19 05:32:21,917 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:32:21,943 - Model - INFO - Saving model....
2019-12-19 05:32:21,944 - Model - INFO - ---- EPOCH 731 EVALUATION ----
2019-12-19 05:32:30,469 - Model - INFO - Eval mean loss: 0.790589
2019-12-19 05:32:30,470 - Model - INFO - Eval accuracy: 0.766919
2019-12-19 05:32:30,470 - Model - INFO - **** Epoch 732 (732/1024) ****
2019-12-19 05:32:30,470 - Model - INFO - Learning rate:0.000343
2019-12-19 05:32:47,996 - Model - INFO - Training mean loss: 0.258988
2019-12-19 05:32:47,996 - Model - INFO - Training accuracy: 0.911573
2019-12-19 05:32:47,997 - Model - INFO - ---- EPOCH 732 EVALUATION ----
2019-12-19 05:32:56,533 - Model - INFO - Eval mean loss: 0.841596
2019-12-19 05:32:56,533 - Model - INFO - Eval accuracy: 0.766471
2019-12-19 05:32:56,533 - Model - INFO - **** Epoch 733 (733/1024) ****
2019-12-19 05:32:56,533 - Model - INFO - Learning rate:0.000343
2019-12-19 05:33:14,276 - Model - INFO - Training mean loss: 0.253331
2019-12-19 05:33:14,276 - Model - INFO - Training accuracy: 0.911701
2019-12-19 05:33:14,278 - Model - INFO - ---- EPOCH 733 EVALUATION ----
2019-12-19 05:33:22,682 - Model - INFO - Eval mean loss: 0.754721
2019-12-19 05:33:22,682 - Model - INFO - Eval accuracy: 0.767938
2019-12-19 05:33:22,683 - Model - INFO - **** Epoch 734 (734/1024) ****
2019-12-19 05:33:22,683 - Model - INFO - Learning rate:0.000343
2019-12-19 05:33:41,071 - Model - INFO - Training mean loss: 0.250447
2019-12-19 05:33:41,071 - Model - INFO - Training accuracy: 0.915165
2019-12-19 05:33:41,073 - Model - INFO - ---- EPOCH 734 EVALUATION ----
2019-12-19 05:33:49,560 - Model - INFO - Eval mean loss: 1.062500
2019-12-19 05:33:49,560 - Model - INFO - Eval accuracy: 0.743091
2019-12-19 05:33:49,560 - Model - INFO - **** Epoch 735 (735/1024) ****
2019-12-19 05:33:49,560 - Model - INFO - Learning rate:0.000343
2019-12-19 05:34:07,566 - Model - INFO - Training mean loss: 0.243222
2019-12-19 05:34:07,567 - Model - INFO - Training accuracy: 0.918101
2019-12-19 05:34:07,569 - Model - INFO - ---- EPOCH 735 EVALUATION ----
2019-12-19 05:34:16,202 - Model - INFO - Eval mean loss: 0.708120
2019-12-19 05:34:16,202 - Model - INFO - Eval accuracy: 0.781277
2019-12-19 05:34:16,202 - Model - INFO - **** Epoch 736 (736/1024) ****
2019-12-19 05:34:16,203 - Model - INFO - Learning rate:0.000343
2019-12-19 05:34:34,363 - Model - INFO - Training mean loss: 0.259047
2019-12-19 05:34:34,364 - Model - INFO - Training accuracy: 0.908730
2019-12-19 05:34:34,366 - Model - INFO - ---- EPOCH 736 EVALUATION ----
2019-12-19 05:34:43,065 - Model - INFO - Eval mean loss: 0.850231
2019-12-19 05:34:43,066 - Model - INFO - Eval accuracy: 0.778965
2019-12-19 05:34:43,066 - Model - INFO - **** Epoch 737 (737/1024) ****
2019-12-19 05:34:43,066 - Model - INFO - Learning rate:0.000343
2019-12-19 05:35:01,425 - Model - INFO - Training mean loss: 0.253711
2019-12-19 05:35:01,425 - Model - INFO - Training accuracy: 0.912706
2019-12-19 05:35:01,427 - Model - INFO - ---- EPOCH 737 EVALUATION ----
2019-12-19 05:35:09,895 - Model - INFO - Eval mean loss: 0.669676
2019-12-19 05:35:09,895 - Model - INFO - Eval accuracy: 0.794522
2019-12-19 05:35:09,895 - Model - INFO - **** Epoch 738 (738/1024) ****
2019-12-19 05:35:09,895 - Model - INFO - Learning rate:0.000343
2019-12-19 05:35:27,670 - Model - INFO - Training mean loss: 0.260723
2019-12-19 05:35:27,670 - Model - INFO - Training accuracy: 0.911363
2019-12-19 05:35:27,671 - Model - INFO - ---- EPOCH 738 EVALUATION ----
2019-12-19 05:35:36,233 - Model - INFO - Eval mean loss: 0.740864
2019-12-19 05:35:36,233 - Model - INFO - Eval accuracy: 0.794328
2019-12-19 05:35:36,233 - Model - INFO - **** Epoch 739 (739/1024) ****
2019-12-19 05:35:36,234 - Model - INFO - Learning rate:0.000343
2019-12-19 05:35:54,501 - Model - INFO - Training mean loss: 0.250151
2019-12-19 05:35:54,501 - Model - INFO - Training accuracy: 0.912277
2019-12-19 05:35:54,503 - Model - INFO - ---- EPOCH 739 EVALUATION ----
2019-12-19 05:36:02,973 - Model - INFO - Eval mean loss: 0.799689
2019-12-19 05:36:02,973 - Model - INFO - Eval accuracy: 0.772224
2019-12-19 05:36:02,973 - Model - INFO - **** Epoch 740 (740/1024) ****
2019-12-19 05:36:02,973 - Model - INFO - Learning rate:0.000343
2019-12-19 05:36:20,759 - Model - INFO - Training mean loss: 0.242930
2019-12-19 05:36:20,759 - Model - INFO - Training accuracy: 0.916106
2019-12-19 05:36:20,760 - Model - INFO - ---- EPOCH 740 EVALUATION ----
2019-12-19 05:36:29,218 - Model - INFO - Eval mean loss: 0.774232
2019-12-19 05:36:29,218 - Model - INFO - Eval accuracy: 0.795227
2019-12-19 05:36:29,218 - Model - INFO - **** Epoch 741 (741/1024) ****
2019-12-19 05:36:29,218 - Model - INFO - Learning rate:0.000343
2019-12-19 05:36:47,502 - Model - INFO - Training mean loss: 0.241753
2019-12-19 05:36:47,502 - Model - INFO - Training accuracy: 0.916665
2019-12-19 05:36:47,502 - Model - INFO - Save model...
2019-12-19 05:36:47,502 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:36:47,527 - Model - INFO - Saving model....
2019-12-19 05:36:47,528 - Model - INFO - ---- EPOCH 741 EVALUATION ----
2019-12-19 05:36:55,953 - Model - INFO - Eval mean loss: 0.741071
2019-12-19 05:36:55,953 - Model - INFO - Eval accuracy: 0.789254
2019-12-19 05:36:55,953 - Model - INFO - **** Epoch 742 (742/1024) ****
2019-12-19 05:36:55,953 - Model - INFO - Learning rate:0.000343
2019-12-19 05:37:13,426 - Model - INFO - Training mean loss: 0.258443
2019-12-19 05:37:13,427 - Model - INFO - Training accuracy: 0.913028
2019-12-19 05:37:13,428 - Model - INFO - ---- EPOCH 742 EVALUATION ----
2019-12-19 05:37:21,783 - Model - INFO - Eval mean loss: 0.912412
2019-12-19 05:37:21,783 - Model - INFO - Eval accuracy: 0.770981
2019-12-19 05:37:21,784 - Model - INFO - **** Epoch 743 (743/1024) ****
2019-12-19 05:37:21,784 - Model - INFO - Learning rate:0.000343
2019-12-19 05:37:39,535 - Model - INFO - Training mean loss: 0.235444
2019-12-19 05:37:39,536 - Model - INFO - Training accuracy: 0.920586
2019-12-19 05:37:39,537 - Model - INFO - ---- EPOCH 743 EVALUATION ----
2019-12-19 05:37:48,143 - Model - INFO - Eval mean loss: 0.929585
2019-12-19 05:37:48,143 - Model - INFO - Eval accuracy: 0.763692
2019-12-19 05:37:48,143 - Model - INFO - **** Epoch 744 (744/1024) ****
2019-12-19 05:37:48,143 - Model - INFO - Learning rate:0.000343
2019-12-19 05:38:06,241 - Model - INFO - Training mean loss: 0.261138
2019-12-19 05:38:06,241 - Model - INFO - Training accuracy: 0.909283
2019-12-19 05:38:06,242 - Model - INFO - ---- EPOCH 744 EVALUATION ----
2019-12-19 05:38:14,686 - Model - INFO - Eval mean loss: 0.767543
2019-12-19 05:38:14,686 - Model - INFO - Eval accuracy: 0.780016
2019-12-19 05:38:14,686 - Model - INFO - **** Epoch 745 (745/1024) ****
2019-12-19 05:38:14,686 - Model - INFO - Learning rate:0.000343
2019-12-19 05:38:32,726 - Model - INFO - Training mean loss: 0.242462
2019-12-19 05:38:32,727 - Model - INFO - Training accuracy: 0.914049
2019-12-19 05:38:32,729 - Model - INFO - ---- EPOCH 745 EVALUATION ----
2019-12-19 05:38:41,282 - Model - INFO - Eval mean loss: 0.769175
2019-12-19 05:38:41,283 - Model - INFO - Eval accuracy: 0.787482
2019-12-19 05:38:41,283 - Model - INFO - **** Epoch 746 (746/1024) ****
2019-12-19 05:38:41,283 - Model - INFO - Learning rate:0.000343
2019-12-19 05:38:59,058 - Model - INFO - Training mean loss: 0.263088
2019-12-19 05:38:59,058 - Model - INFO - Training accuracy: 0.912948
2019-12-19 05:38:59,059 - Model - INFO - ---- EPOCH 746 EVALUATION ----
2019-12-19 05:39:07,625 - Model - INFO - Eval mean loss: 0.838721
2019-12-19 05:39:07,625 - Model - INFO - Eval accuracy: 0.772018
2019-12-19 05:39:07,626 - Model - INFO - **** Epoch 747 (747/1024) ****
2019-12-19 05:39:07,626 - Model - INFO - Learning rate:0.000343
2019-12-19 05:39:26,262 - Model - INFO - Training mean loss: 0.280373
2019-12-19 05:39:26,263 - Model - INFO - Training accuracy: 0.909444
2019-12-19 05:39:26,264 - Model - INFO - ---- EPOCH 747 EVALUATION ----
2019-12-19 05:39:34,754 - Model - INFO - Eval mean loss: 0.826084
2019-12-19 05:39:34,754 - Model - INFO - Eval accuracy: 0.785536
2019-12-19 05:39:34,754 - Model - INFO - **** Epoch 748 (748/1024) ****
2019-12-19 05:39:34,754 - Model - INFO - Learning rate:0.000343
2019-12-19 05:39:54,128 - Model - INFO - Training mean loss: 0.254592
2019-12-19 05:39:54,128 - Model - INFO - Training accuracy: 0.912696
2019-12-19 05:39:54,130 - Model - INFO - ---- EPOCH 748 EVALUATION ----
2019-12-19 05:40:02,766 - Model - INFO - Eval mean loss: 1.078903
2019-12-19 05:40:02,767 - Model - INFO - Eval accuracy: 0.765076
2019-12-19 05:40:02,767 - Model - INFO - **** Epoch 749 (749/1024) ****
2019-12-19 05:40:02,767 - Model - INFO - Learning rate:0.000343
2019-12-19 05:40:20,379 - Model - INFO - Training mean loss: 0.237416
2019-12-19 05:40:20,379 - Model - INFO - Training accuracy: 0.919047
2019-12-19 05:40:20,380 - Model - INFO - ---- EPOCH 749 EVALUATION ----
2019-12-19 05:40:28,975 - Model - INFO - Eval mean loss: 1.078573
2019-12-19 05:40:28,976 - Model - INFO - Eval accuracy: 0.756646
2019-12-19 05:40:28,976 - Model - INFO - **** Epoch 750 (750/1024) ****
2019-12-19 05:40:28,976 - Model - INFO - Learning rate:0.000343
2019-12-19 05:40:46,529 - Model - INFO - Training mean loss: 0.235963
2019-12-19 05:40:46,529 - Model - INFO - Training accuracy: 0.921150
2019-12-19 05:40:46,531 - Model - INFO - ---- EPOCH 750 EVALUATION ----
2019-12-19 05:40:54,967 - Model - INFO - Eval mean loss: 0.959548
2019-12-19 05:40:54,967 - Model - INFO - Eval accuracy: 0.750480
2019-12-19 05:40:54,967 - Model - INFO - **** Epoch 751 (751/1024) ****
2019-12-19 05:40:54,967 - Model - INFO - Learning rate:0.000343
2019-12-19 05:41:13,011 - Model - INFO - Training mean loss: 0.260447
2019-12-19 05:41:13,011 - Model - INFO - Training accuracy: 0.911630
2019-12-19 05:41:13,011 - Model - INFO - Save model...
2019-12-19 05:41:13,011 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:41:13,037 - Model - INFO - Saving model....
2019-12-19 05:41:13,038 - Model - INFO - ---- EPOCH 751 EVALUATION ----
2019-12-19 05:41:21,668 - Model - INFO - Eval mean loss: 0.755728
2019-12-19 05:41:21,668 - Model - INFO - Eval accuracy: 0.771249
2019-12-19 05:41:21,668 - Model - INFO - **** Epoch 752 (752/1024) ****
2019-12-19 05:41:21,668 - Model - INFO - Learning rate:0.000343
2019-12-19 05:41:39,411 - Model - INFO - Training mean loss: 0.274341
2019-12-19 05:41:39,411 - Model - INFO - Training accuracy: 0.906550
2019-12-19 05:41:39,412 - Model - INFO - ---- EPOCH 752 EVALUATION ----
2019-12-19 05:41:47,825 - Model - INFO - Eval mean loss: 0.760821
2019-12-19 05:41:47,826 - Model - INFO - Eval accuracy: 0.755347
2019-12-19 05:41:47,826 - Model - INFO - **** Epoch 753 (753/1024) ****
2019-12-19 05:41:47,826 - Model - INFO - Learning rate:0.000343
2019-12-19 05:42:06,283 - Model - INFO - Training mean loss: 0.263102
2019-12-19 05:42:06,283 - Model - INFO - Training accuracy: 0.908498
2019-12-19 05:42:06,284 - Model - INFO - ---- EPOCH 753 EVALUATION ----
2019-12-19 05:42:14,799 - Model - INFO - Eval mean loss: 0.848952
2019-12-19 05:42:14,800 - Model - INFO - Eval accuracy: 0.763753
2019-12-19 05:42:14,800 - Model - INFO - **** Epoch 754 (754/1024) ****
2019-12-19 05:42:14,800 - Model - INFO - Learning rate:0.000343
2019-12-19 05:42:33,299 - Model - INFO - Training mean loss: 0.259990
2019-12-19 05:42:33,299 - Model - INFO - Training accuracy: 0.909061
2019-12-19 05:42:33,301 - Model - INFO - ---- EPOCH 754 EVALUATION ----
2019-12-19 05:42:42,090 - Model - INFO - Eval mean loss: 0.831139
2019-12-19 05:42:42,091 - Model - INFO - Eval accuracy: 0.765671
2019-12-19 05:42:42,091 - Model - INFO - **** Epoch 755 (755/1024) ****
2019-12-19 05:42:42,091 - Model - INFO - Learning rate:0.000343
2019-12-19 05:42:59,921 - Model - INFO - Training mean loss: 0.278395
2019-12-19 05:42:59,921 - Model - INFO - Training accuracy: 0.907443
2019-12-19 05:42:59,923 - Model - INFO - ---- EPOCH 755 EVALUATION ----
2019-12-19 05:43:08,433 - Model - INFO - Eval mean loss: 1.037648
2019-12-19 05:43:08,434 - Model - INFO - Eval accuracy: 0.752267
2019-12-19 05:43:08,434 - Model - INFO - **** Epoch 756 (756/1024) ****
2019-12-19 05:43:08,434 - Model - INFO - Learning rate:0.000343
2019-12-19 05:43:26,716 - Model - INFO - Training mean loss: 0.270469
2019-12-19 05:43:26,716 - Model - INFO - Training accuracy: 0.908072
2019-12-19 05:43:26,718 - Model - INFO - ---- EPOCH 756 EVALUATION ----
2019-12-19 05:43:35,285 - Model - INFO - Eval mean loss: 0.788012
2019-12-19 05:43:35,285 - Model - INFO - Eval accuracy: 0.777050
2019-12-19 05:43:35,285 - Model - INFO - **** Epoch 757 (757/1024) ****
2019-12-19 05:43:35,285 - Model - INFO - Learning rate:0.000343
2019-12-19 05:43:52,721 - Model - INFO - Training mean loss: 0.241923
2019-12-19 05:43:52,722 - Model - INFO - Training accuracy: 0.916405
2019-12-19 05:43:52,724 - Model - INFO - ---- EPOCH 757 EVALUATION ----
2019-12-19 05:44:01,370 - Model - INFO - Eval mean loss: 0.939902
2019-12-19 05:44:01,370 - Model - INFO - Eval accuracy: 0.768706
2019-12-19 05:44:01,370 - Model - INFO - **** Epoch 758 (758/1024) ****
2019-12-19 05:44:01,370 - Model - INFO - Learning rate:0.000343
2019-12-19 05:44:20,233 - Model - INFO - Training mean loss: 0.235226
2019-12-19 05:44:20,234 - Model - INFO - Training accuracy: 0.915613
2019-12-19 05:44:20,235 - Model - INFO - ---- EPOCH 758 EVALUATION ----
2019-12-19 05:44:28,709 - Model - INFO - Eval mean loss: 0.740170
2019-12-19 05:44:28,709 - Model - INFO - Eval accuracy: 0.784181
2019-12-19 05:44:28,709 - Model - INFO - **** Epoch 759 (759/1024) ****
2019-12-19 05:44:28,709 - Model - INFO - Learning rate:0.000343
2019-12-19 05:44:46,511 - Model - INFO - Training mean loss: 0.237414
2019-12-19 05:44:46,511 - Model - INFO - Training accuracy: 0.921034
2019-12-19 05:44:46,513 - Model - INFO - ---- EPOCH 759 EVALUATION ----
2019-12-19 05:44:55,143 - Model - INFO - Eval mean loss: 0.821338
2019-12-19 05:44:55,143 - Model - INFO - Eval accuracy: 0.763806
2019-12-19 05:44:55,143 - Model - INFO - **** Epoch 760 (760/1024) ****
2019-12-19 05:44:55,143 - Model - INFO - Learning rate:0.000343
2019-12-19 05:45:14,142 - Model - INFO - Training mean loss: 0.233478
2019-12-19 05:45:14,142 - Model - INFO - Training accuracy: 0.919174
2019-12-19 05:45:14,144 - Model - INFO - ---- EPOCH 760 EVALUATION ----
2019-12-19 05:45:22,878 - Model - INFO - Eval mean loss: 0.766009
2019-12-19 05:45:22,878 - Model - INFO - Eval accuracy: 0.784131
2019-12-19 05:45:22,879 - Model - INFO - **** Epoch 761 (761/1024) ****
2019-12-19 05:45:22,879 - Model - INFO - Learning rate:0.000343
2019-12-19 05:45:41,015 - Model - INFO - Training mean loss: 0.256555
2019-12-19 05:45:41,016 - Model - INFO - Training accuracy: 0.911172
2019-12-19 05:45:41,016 - Model - INFO - Save model...
2019-12-19 05:45:41,016 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:45:41,040 - Model - INFO - Saving model....
2019-12-19 05:45:41,041 - Model - INFO - ---- EPOCH 761 EVALUATION ----
2019-12-19 05:45:49,538 - Model - INFO - Eval mean loss: 0.792906
2019-12-19 05:45:49,538 - Model - INFO - Eval accuracy: 0.756173
2019-12-19 05:45:49,539 - Model - INFO - **** Epoch 762 (762/1024) ****
2019-12-19 05:45:49,539 - Model - INFO - Learning rate:0.000343
2019-12-19 05:46:07,220 - Model - INFO - Training mean loss: 0.239966
2019-12-19 05:46:07,220 - Model - INFO - Training accuracy: 0.916169
2019-12-19 05:46:07,221 - Model - INFO - ---- EPOCH 762 EVALUATION ----
2019-12-19 05:46:15,716 - Model - INFO - Eval mean loss: 1.095044
2019-12-19 05:46:15,716 - Model - INFO - Eval accuracy: 0.751358
2019-12-19 05:46:15,717 - Model - INFO - **** Epoch 763 (763/1024) ****
2019-12-19 05:46:15,717 - Model - INFO - Learning rate:0.000343
2019-12-19 05:46:33,561 - Model - INFO - Training mean loss: 0.235318
2019-12-19 05:46:33,561 - Model - INFO - Training accuracy: 0.920262
2019-12-19 05:46:33,562 - Model - INFO - ---- EPOCH 763 EVALUATION ----
2019-12-19 05:46:42,121 - Model - INFO - Eval mean loss: 0.956369
2019-12-19 05:46:42,121 - Model - INFO - Eval accuracy: 0.767310
2019-12-19 05:46:42,121 - Model - INFO - **** Epoch 764 (764/1024) ****
2019-12-19 05:46:42,121 - Model - INFO - Learning rate:0.000343
2019-12-19 05:47:00,041 - Model - INFO - Training mean loss: 0.237482
2019-12-19 05:47:00,041 - Model - INFO - Training accuracy: 0.916627
2019-12-19 05:47:00,042 - Model - INFO - ---- EPOCH 764 EVALUATION ----
2019-12-19 05:47:08,471 - Model - INFO - Eval mean loss: 0.962826
2019-12-19 05:47:08,471 - Model - INFO - Eval accuracy: 0.754147
2019-12-19 05:47:08,471 - Model - INFO - **** Epoch 765 (765/1024) ****
2019-12-19 05:47:08,471 - Model - INFO - Learning rate:0.000343
2019-12-19 05:47:27,039 - Model - INFO - Training mean loss: 0.233259
2019-12-19 05:47:27,039 - Model - INFO - Training accuracy: 0.920600
2019-12-19 05:47:27,041 - Model - INFO - ---- EPOCH 765 EVALUATION ----
2019-12-19 05:47:35,567 - Model - INFO - Eval mean loss: 0.800198
2019-12-19 05:47:35,568 - Model - INFO - Eval accuracy: 0.777807
2019-12-19 05:47:35,568 - Model - INFO - **** Epoch 766 (766/1024) ****
2019-12-19 05:47:35,568 - Model - INFO - Learning rate:0.000343
2019-12-19 05:47:53,460 - Model - INFO - Training mean loss: 0.267908
2019-12-19 05:47:53,460 - Model - INFO - Training accuracy: 0.911260
2019-12-19 05:47:53,461 - Model - INFO - ---- EPOCH 766 EVALUATION ----
2019-12-19 05:48:01,928 - Model - INFO - Eval mean loss: 0.921086
2019-12-19 05:48:01,928 - Model - INFO - Eval accuracy: 0.765427
2019-12-19 05:48:01,928 - Model - INFO - **** Epoch 767 (767/1024) ****
2019-12-19 05:48:01,928 - Model - INFO - Learning rate:0.000343
2019-12-19 05:48:20,065 - Model - INFO - Training mean loss: 0.255159
2019-12-19 05:48:20,066 - Model - INFO - Training accuracy: 0.911571
2019-12-19 05:48:20,067 - Model - INFO - ---- EPOCH 767 EVALUATION ----
2019-12-19 05:48:28,546 - Model - INFO - Eval mean loss: 0.754473
2019-12-19 05:48:28,546 - Model - INFO - Eval accuracy: 0.792981
2019-12-19 05:48:28,546 - Model - INFO - **** Epoch 768 (768/1024) ****
2019-12-19 05:48:28,546 - Model - INFO - Learning rate:0.000343
2019-12-19 05:48:45,942 - Model - INFO - Training mean loss: 0.295653
2019-12-19 05:48:45,942 - Model - INFO - Training accuracy: 0.906806
2019-12-19 05:48:45,944 - Model - INFO - ---- EPOCH 768 EVALUATION ----
2019-12-19 05:48:54,446 - Model - INFO - Eval mean loss: 0.971772
2019-12-19 05:48:54,446 - Model - INFO - Eval accuracy: 0.752360
2019-12-19 05:48:54,446 - Model - INFO - **** Epoch 769 (769/1024) ****
2019-12-19 05:48:54,446 - Model - INFO - Learning rate:0.000343
2019-12-19 05:49:12,250 - Model - INFO - Training mean loss: 0.268279
2019-12-19 05:49:12,251 - Model - INFO - Training accuracy: 0.910393
2019-12-19 05:49:12,252 - Model - INFO - ---- EPOCH 769 EVALUATION ----
2019-12-19 05:49:20,660 - Model - INFO - Eval mean loss: 1.101619
2019-12-19 05:49:20,660 - Model - INFO - Eval accuracy: 0.752896
2019-12-19 05:49:20,660 - Model - INFO - **** Epoch 770 (770/1024) ****
2019-12-19 05:49:20,660 - Model - INFO - Learning rate:0.000343
2019-12-19 05:49:38,532 - Model - INFO - Training mean loss: 0.267948
2019-12-19 05:49:38,532 - Model - INFO - Training accuracy: 0.909009
2019-12-19 05:49:38,534 - Model - INFO - ---- EPOCH 770 EVALUATION ----
2019-12-19 05:49:46,910 - Model - INFO - Eval mean loss: 1.063025
2019-12-19 05:49:46,910 - Model - INFO - Eval accuracy: 0.760072
2019-12-19 05:49:46,911 - Model - INFO - **** Epoch 771 (771/1024) ****
2019-12-19 05:49:46,911 - Model - INFO - Learning rate:0.000343
2019-12-19 05:50:05,256 - Model - INFO - Training mean loss: 0.249253
2019-12-19 05:50:05,256 - Model - INFO - Training accuracy: 0.917000
2019-12-19 05:50:05,256 - Model - INFO - Save model...
2019-12-19 05:50:05,256 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:50:05,283 - Model - INFO - Saving model....
2019-12-19 05:50:05,285 - Model - INFO - ---- EPOCH 771 EVALUATION ----
2019-12-19 05:50:13,699 - Model - INFO - Eval mean loss: 0.935746
2019-12-19 05:50:13,700 - Model - INFO - Eval accuracy: 0.770081
2019-12-19 05:50:13,700 - Model - INFO - **** Epoch 772 (772/1024) ****
2019-12-19 05:50:13,700 - Model - INFO - Learning rate:0.000343
2019-12-19 05:50:31,829 - Model - INFO - Training mean loss: 0.265319
2019-12-19 05:50:31,829 - Model - INFO - Training accuracy: 0.908267
2019-12-19 05:50:31,831 - Model - INFO - ---- EPOCH 772 EVALUATION ----
2019-12-19 05:50:40,443 - Model - INFO - Eval mean loss: 0.941614
2019-12-19 05:50:40,444 - Model - INFO - Eval accuracy: 0.760061
2019-12-19 05:50:40,444 - Model - INFO - **** Epoch 773 (773/1024) ****
2019-12-19 05:50:40,444 - Model - INFO - Learning rate:0.000343
2019-12-19 05:50:58,609 - Model - INFO - Training mean loss: 0.255568
2019-12-19 05:50:58,609 - Model - INFO - Training accuracy: 0.915459
2019-12-19 05:50:58,611 - Model - INFO - ---- EPOCH 773 EVALUATION ----
2019-12-19 05:51:07,288 - Model - INFO - Eval mean loss: 0.899305
2019-12-19 05:51:07,288 - Model - INFO - Eval accuracy: 0.754127
2019-12-19 05:51:07,288 - Model - INFO - **** Epoch 774 (774/1024) ****
2019-12-19 05:51:07,288 - Model - INFO - Learning rate:0.000343
2019-12-19 05:51:25,773 - Model - INFO - Training mean loss: 0.262519
2019-12-19 05:51:25,773 - Model - INFO - Training accuracy: 0.911998
2019-12-19 05:51:25,775 - Model - INFO - ---- EPOCH 774 EVALUATION ----
2019-12-19 05:51:34,500 - Model - INFO - Eval mean loss: 0.939568
2019-12-19 05:51:34,501 - Model - INFO - Eval accuracy: 0.759218
2019-12-19 05:51:34,501 - Model - INFO - **** Epoch 775 (775/1024) ****
2019-12-19 05:51:34,501 - Model - INFO - Learning rate:0.000343
2019-12-19 05:51:51,958 - Model - INFO - Training mean loss: 0.265891
2019-12-19 05:51:51,959 - Model - INFO - Training accuracy: 0.909544
2019-12-19 05:51:51,960 - Model - INFO - ---- EPOCH 775 EVALUATION ----
2019-12-19 05:52:00,560 - Model - INFO - Eval mean loss: 0.943493
2019-12-19 05:52:00,561 - Model - INFO - Eval accuracy: 0.749749
2019-12-19 05:52:00,561 - Model - INFO - **** Epoch 776 (776/1024) ****
2019-12-19 05:52:00,561 - Model - INFO - Learning rate:0.000343
2019-12-19 05:52:19,334 - Model - INFO - Training mean loss: 0.247307
2019-12-19 05:52:19,335 - Model - INFO - Training accuracy: 0.915122
2019-12-19 05:52:19,336 - Model - INFO - ---- EPOCH 776 EVALUATION ----
2019-12-19 05:52:27,871 - Model - INFO - Eval mean loss: 0.747793
2019-12-19 05:52:27,871 - Model - INFO - Eval accuracy: 0.784817
2019-12-19 05:52:27,871 - Model - INFO - **** Epoch 777 (777/1024) ****
2019-12-19 05:52:27,871 - Model - INFO - Learning rate:0.000343
2019-12-19 05:52:46,134 - Model - INFO - Training mean loss: 0.253241
2019-12-19 05:52:46,134 - Model - INFO - Training accuracy: 0.913744
2019-12-19 05:52:46,135 - Model - INFO - ---- EPOCH 777 EVALUATION ----
2019-12-19 05:52:54,622 - Model - INFO - Eval mean loss: 0.849572
2019-12-19 05:52:54,622 - Model - INFO - Eval accuracy: 0.752921
2019-12-19 05:52:54,622 - Model - INFO - **** Epoch 778 (778/1024) ****
2019-12-19 05:52:54,622 - Model - INFO - Learning rate:0.000343
2019-12-19 05:53:13,242 - Model - INFO - Training mean loss: 0.244393
2019-12-19 05:53:13,242 - Model - INFO - Training accuracy: 0.919708
2019-12-19 05:53:13,245 - Model - INFO - ---- EPOCH 778 EVALUATION ----
2019-12-19 05:53:21,898 - Model - INFO - Eval mean loss: 0.632776
2019-12-19 05:53:21,898 - Model - INFO - Eval accuracy: 0.800924
2019-12-19 05:53:21,898 - Model - INFO - **** Epoch 779 (779/1024) ****
2019-12-19 05:53:21,898 - Model - INFO - Learning rate:0.000343
2019-12-19 05:53:40,405 - Model - INFO - Training mean loss: 0.257563
2019-12-19 05:53:40,405 - Model - INFO - Training accuracy: 0.910861
2019-12-19 05:53:40,407 - Model - INFO - ---- EPOCH 779 EVALUATION ----
2019-12-19 05:53:49,001 - Model - INFO - Eval mean loss: 0.842883
2019-12-19 05:53:49,001 - Model - INFO - Eval accuracy: 0.773892
2019-12-19 05:53:49,001 - Model - INFO - **** Epoch 780 (780/1024) ****
2019-12-19 05:53:49,001 - Model - INFO - Learning rate:0.000343
2019-12-19 05:54:08,132 - Model - INFO - Training mean loss: 0.253767
2019-12-19 05:54:08,133 - Model - INFO - Training accuracy: 0.914677
2019-12-19 05:54:08,135 - Model - INFO - ---- EPOCH 780 EVALUATION ----
2019-12-19 05:54:16,752 - Model - INFO - Eval mean loss: 0.850551
2019-12-19 05:54:16,752 - Model - INFO - Eval accuracy: 0.778956
2019-12-19 05:54:16,752 - Model - INFO - **** Epoch 781 (781/1024) ****
2019-12-19 05:54:16,752 - Model - INFO - Learning rate:0.000343
2019-12-19 05:54:35,986 - Model - INFO - Training mean loss: 0.241866
2019-12-19 05:54:35,986 - Model - INFO - Training accuracy: 0.917168
2019-12-19 05:54:35,986 - Model - INFO - Save model...
2019-12-19 05:54:35,986 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:54:36,026 - Model - INFO - Saving model....
2019-12-19 05:54:36,027 - Model - INFO - ---- EPOCH 781 EVALUATION ----
2019-12-19 05:54:44,691 - Model - INFO - Eval mean loss: 0.750381
2019-12-19 05:54:44,691 - Model - INFO - Eval accuracy: 0.780202
2019-12-19 05:54:44,691 - Model - INFO - **** Epoch 782 (782/1024) ****
2019-12-19 05:54:44,691 - Model - INFO - Learning rate:0.000343
2019-12-19 05:55:03,130 - Model - INFO - Training mean loss: 0.240162
2019-12-19 05:55:03,130 - Model - INFO - Training accuracy: 0.917239
2019-12-19 05:55:03,132 - Model - INFO - ---- EPOCH 782 EVALUATION ----
2019-12-19 05:55:11,667 - Model - INFO - Eval mean loss: 0.733957
2019-12-19 05:55:11,668 - Model - INFO - Eval accuracy: 0.786647
2019-12-19 05:55:11,668 - Model - INFO - **** Epoch 783 (783/1024) ****
2019-12-19 05:55:11,668 - Model - INFO - Learning rate:0.000343
2019-12-19 05:55:29,243 - Model - INFO - Training mean loss: 0.240948
2019-12-19 05:55:29,244 - Model - INFO - Training accuracy: 0.918116
2019-12-19 05:55:29,245 - Model - INFO - ---- EPOCH 783 EVALUATION ----
2019-12-19 05:55:37,707 - Model - INFO - Eval mean loss: 0.668114
2019-12-19 05:55:37,707 - Model - INFO - Eval accuracy: 0.784665
2019-12-19 05:55:37,707 - Model - INFO - **** Epoch 784 (784/1024) ****
2019-12-19 05:55:37,707 - Model - INFO - Learning rate:0.000343
2019-12-19 05:55:57,316 - Model - INFO - Training mean loss: 0.254604
2019-12-19 05:55:57,317 - Model - INFO - Training accuracy: 0.911822
2019-12-19 05:55:57,318 - Model - INFO - ---- EPOCH 784 EVALUATION ----
2019-12-19 05:56:05,805 - Model - INFO - Eval mean loss: 0.738200
2019-12-19 05:56:05,806 - Model - INFO - Eval accuracy: 0.771298
2019-12-19 05:56:05,806 - Model - INFO - **** Epoch 785 (785/1024) ****
2019-12-19 05:56:05,806 - Model - INFO - Learning rate:0.000343
2019-12-19 05:56:23,805 - Model - INFO - Training mean loss: 0.243598
2019-12-19 05:56:23,805 - Model - INFO - Training accuracy: 0.914629
2019-12-19 05:56:23,807 - Model - INFO - ---- EPOCH 785 EVALUATION ----
2019-12-19 05:56:32,281 - Model - INFO - Eval mean loss: 0.701756
2019-12-19 05:56:32,282 - Model - INFO - Eval accuracy: 0.793757
2019-12-19 05:56:32,282 - Model - INFO - **** Epoch 786 (786/1024) ****
2019-12-19 05:56:32,282 - Model - INFO - Learning rate:0.000343
2019-12-19 05:56:50,818 - Model - INFO - Training mean loss: 0.262653
2019-12-19 05:56:50,818 - Model - INFO - Training accuracy: 0.909000
2019-12-19 05:56:50,820 - Model - INFO - ---- EPOCH 786 EVALUATION ----
2019-12-19 05:56:59,480 - Model - INFO - Eval mean loss: 0.836416
2019-12-19 05:56:59,480 - Model - INFO - Eval accuracy: 0.762456
2019-12-19 05:56:59,480 - Model - INFO - **** Epoch 787 (787/1024) ****
2019-12-19 05:56:59,480 - Model - INFO - Learning rate:0.000343
2019-12-19 05:57:18,009 - Model - INFO - Training mean loss: 0.240384
2019-12-19 05:57:18,009 - Model - INFO - Training accuracy: 0.914483
2019-12-19 05:57:18,010 - Model - INFO - ---- EPOCH 787 EVALUATION ----
2019-12-19 05:57:26,492 - Model - INFO - Eval mean loss: 0.831756
2019-12-19 05:57:26,492 - Model - INFO - Eval accuracy: 0.775987
2019-12-19 05:57:26,492 - Model - INFO - **** Epoch 788 (788/1024) ****
2019-12-19 05:57:26,492 - Model - INFO - Learning rate:0.000343
2019-12-19 05:57:44,844 - Model - INFO - Training mean loss: 0.218902
2019-12-19 05:57:44,844 - Model - INFO - Training accuracy: 0.921608
2019-12-19 05:57:44,846 - Model - INFO - ---- EPOCH 788 EVALUATION ----
2019-12-19 05:57:53,437 - Model - INFO - Eval mean loss: 0.915446
2019-12-19 05:57:53,437 - Model - INFO - Eval accuracy: 0.773921
2019-12-19 05:57:53,437 - Model - INFO - **** Epoch 789 (789/1024) ****
2019-12-19 05:57:53,437 - Model - INFO - Learning rate:0.000343
2019-12-19 05:58:11,889 - Model - INFO - Training mean loss: 0.247623
2019-12-19 05:58:11,889 - Model - INFO - Training accuracy: 0.913043
2019-12-19 05:58:11,890 - Model - INFO - ---- EPOCH 789 EVALUATION ----
2019-12-19 05:58:20,457 - Model - INFO - Eval mean loss: 0.779473
2019-12-19 05:58:20,457 - Model - INFO - Eval accuracy: 0.771401
2019-12-19 05:58:20,457 - Model - INFO - **** Epoch 790 (790/1024) ****
2019-12-19 05:58:20,457 - Model - INFO - Learning rate:0.000343
2019-12-19 05:58:37,889 - Model - INFO - Training mean loss: 0.235353
2019-12-19 05:58:37,889 - Model - INFO - Training accuracy: 0.917093
2019-12-19 05:58:37,891 - Model - INFO - ---- EPOCH 790 EVALUATION ----
2019-12-19 05:58:46,412 - Model - INFO - Eval mean loss: 1.000754
2019-12-19 05:58:46,413 - Model - INFO - Eval accuracy: 0.762397
2019-12-19 05:58:46,413 - Model - INFO - **** Epoch 791 (791/1024) ****
2019-12-19 05:58:46,413 - Model - INFO - Learning rate:0.000343
2019-12-19 05:59:04,598 - Model - INFO - Training mean loss: 0.266011
2019-12-19 05:59:04,598 - Model - INFO - Training accuracy: 0.912770
2019-12-19 05:59:04,598 - Model - INFO - Save model...
2019-12-19 05:59:04,598 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 05:59:04,622 - Model - INFO - Saving model....
2019-12-19 05:59:04,623 - Model - INFO - ---- EPOCH 791 EVALUATION ----
2019-12-19 05:59:13,049 - Model - INFO - Eval mean loss: 0.928202
2019-12-19 05:59:13,049 - Model - INFO - Eval accuracy: 0.760395
2019-12-19 05:59:13,049 - Model - INFO - **** Epoch 792 (792/1024) ****
2019-12-19 05:59:13,049 - Model - INFO - Learning rate:0.000343
2019-12-19 05:59:32,662 - Model - INFO - Training mean loss: 0.216736
2019-12-19 05:59:32,663 - Model - INFO - Training accuracy: 0.923140
2019-12-19 05:59:32,664 - Model - INFO - ---- EPOCH 792 EVALUATION ----
2019-12-19 05:59:41,321 - Model - INFO - Eval mean loss: 0.796034
2019-12-19 05:59:41,321 - Model - INFO - Eval accuracy: 0.792265
2019-12-19 05:59:41,321 - Model - INFO - **** Epoch 793 (793/1024) ****
2019-12-19 05:59:41,321 - Model - INFO - Learning rate:0.000343
2019-12-19 06:00:01,625 - Model - INFO - Training mean loss: 0.254768
2019-12-19 06:00:01,625 - Model - INFO - Training accuracy: 0.915726
2019-12-19 06:00:01,626 - Model - INFO - ---- EPOCH 793 EVALUATION ----
2019-12-19 06:00:10,648 - Model - INFO - Eval mean loss: 0.869635
2019-12-19 06:00:10,648 - Model - INFO - Eval accuracy: 0.766993
2019-12-19 06:00:10,648 - Model - INFO - **** Epoch 794 (794/1024) ****
2019-12-19 06:00:10,648 - Model - INFO - Learning rate:0.000343
2019-12-19 06:00:28,616 - Model - INFO - Training mean loss: 0.256613
2019-12-19 06:00:28,616 - Model - INFO - Training accuracy: 0.912321
2019-12-19 06:00:28,618 - Model - INFO - ---- EPOCH 794 EVALUATION ----
2019-12-19 06:00:37,334 - Model - INFO - Eval mean loss: 1.024175
2019-12-19 06:00:37,334 - Model - INFO - Eval accuracy: 0.752401
2019-12-19 06:00:37,334 - Model - INFO - **** Epoch 795 (795/1024) ****
2019-12-19 06:00:37,334 - Model - INFO - Learning rate:0.000343
2019-12-19 06:00:56,461 - Model - INFO - Training mean loss: 0.269324
2019-12-19 06:00:56,461 - Model - INFO - Training accuracy: 0.910144
2019-12-19 06:00:56,464 - Model - INFO - ---- EPOCH 795 EVALUATION ----
2019-12-19 06:01:05,159 - Model - INFO - Eval mean loss: 0.867608
2019-12-19 06:01:05,159 - Model - INFO - Eval accuracy: 0.770028
2019-12-19 06:01:05,159 - Model - INFO - **** Epoch 796 (796/1024) ****
2019-12-19 06:01:05,159 - Model - INFO - Learning rate:0.000343
2019-12-19 06:01:23,912 - Model - INFO - Training mean loss: 0.232832
2019-12-19 06:01:23,912 - Model - INFO - Training accuracy: 0.916418
2019-12-19 06:01:23,914 - Model - INFO - ---- EPOCH 796 EVALUATION ----
2019-12-19 06:01:32,350 - Model - INFO - Eval mean loss: 0.868164
2019-12-19 06:01:32,350 - Model - INFO - Eval accuracy: 0.765477
2019-12-19 06:01:32,350 - Model - INFO - **** Epoch 797 (797/1024) ****
2019-12-19 06:01:32,350 - Model - INFO - Learning rate:0.000343
2019-12-19 06:01:51,074 - Model - INFO - Training mean loss: 0.243815
2019-12-19 06:01:51,075 - Model - INFO - Training accuracy: 0.916086
2019-12-19 06:01:51,077 - Model - INFO - ---- EPOCH 797 EVALUATION ----
2019-12-19 06:01:59,576 - Model - INFO - Eval mean loss: 0.808349
2019-12-19 06:01:59,577 - Model - INFO - Eval accuracy: 0.761175
2019-12-19 06:01:59,577 - Model - INFO - **** Epoch 798 (798/1024) ****
2019-12-19 06:01:59,577 - Model - INFO - Learning rate:0.000343
2019-12-19 06:02:17,490 - Model - INFO - Training mean loss: 0.249370
2019-12-19 06:02:17,490 - Model - INFO - Training accuracy: 0.910830
2019-12-19 06:02:17,492 - Model - INFO - ---- EPOCH 798 EVALUATION ----
2019-12-19 06:02:26,079 - Model - INFO - Eval mean loss: 0.926688
2019-12-19 06:02:26,079 - Model - INFO - Eval accuracy: 0.755809
2019-12-19 06:02:26,079 - Model - INFO - **** Epoch 799 (799/1024) ****
2019-12-19 06:02:26,080 - Model - INFO - Learning rate:0.000343
2019-12-19 06:02:44,050 - Model - INFO - Training mean loss: 0.255098
2019-12-19 06:02:44,050 - Model - INFO - Training accuracy: 0.912447
2019-12-19 06:02:44,052 - Model - INFO - ---- EPOCH 799 EVALUATION ----
2019-12-19 06:02:52,601 - Model - INFO - Eval mean loss: 0.830788
2019-12-19 06:02:52,602 - Model - INFO - Eval accuracy: 0.765806
2019-12-19 06:02:52,602 - Model - INFO - **** Epoch 800 (800/1024) ****
2019-12-19 06:02:52,602 - Model - INFO - Learning rate:0.000343
2019-12-19 06:03:11,321 - Model - INFO - Training mean loss: 0.252559
2019-12-19 06:03:11,321 - Model - INFO - Training accuracy: 0.911949
2019-12-19 06:03:11,324 - Model - INFO - ---- EPOCH 800 EVALUATION ----
2019-12-19 06:03:19,993 - Model - INFO - Eval mean loss: 1.102791
2019-12-19 06:03:19,993 - Model - INFO - Eval accuracy: 0.731527
2019-12-19 06:03:19,993 - Model - INFO - **** Epoch 801 (801/1024) ****
2019-12-19 06:03:19,993 - Model - INFO - Learning rate:0.000240
2019-12-19 06:03:37,574 - Model - INFO - Training mean loss: 0.243681
2019-12-19 06:03:37,574 - Model - INFO - Training accuracy: 0.913994
2019-12-19 06:03:37,576 - Model - INFO - ---- EPOCH 801 EVALUATION ----
2019-12-19 06:03:46,010 - Model - INFO - Eval mean loss: 0.865138
2019-12-19 06:03:46,010 - Model - INFO - Eval accuracy: 0.762295
2019-12-19 06:03:46,010 - Model - INFO - **** Epoch 802 (802/1024) ****
2019-12-19 06:03:46,010 - Model - INFO - Learning rate:0.000240
2019-12-19 06:04:04,096 - Model - INFO - Training mean loss: 0.239843
2019-12-19 06:04:04,097 - Model - INFO - Training accuracy: 0.917001
2019-12-19 06:04:04,098 - Model - INFO - ---- EPOCH 802 EVALUATION ----
2019-12-19 06:04:12,666 - Model - INFO - Eval mean loss: 0.946475
2019-12-19 06:04:12,667 - Model - INFO - Eval accuracy: 0.759708
2019-12-19 06:04:12,667 - Model - INFO - **** Epoch 803 (803/1024) ****
2019-12-19 06:04:12,667 - Model - INFO - Learning rate:0.000240
2019-12-19 06:04:30,380 - Model - INFO - Training mean loss: 0.228231
2019-12-19 06:04:30,380 - Model - INFO - Training accuracy: 0.919916
2019-12-19 06:04:30,382 - Model - INFO - ---- EPOCH 803 EVALUATION ----
2019-12-19 06:04:39,124 - Model - INFO - Eval mean loss: 0.901093
2019-12-19 06:04:39,124 - Model - INFO - Eval accuracy: 0.762165
2019-12-19 06:04:39,124 - Model - INFO - **** Epoch 804 (804/1024) ****
2019-12-19 06:04:39,124 - Model - INFO - Learning rate:0.000240
2019-12-19 06:04:58,048 - Model - INFO - Training mean loss: 0.209852
2019-12-19 06:04:58,048 - Model - INFO - Training accuracy: 0.927171
2019-12-19 06:04:58,049 - Model - INFO - ---- EPOCH 804 EVALUATION ----
2019-12-19 06:05:06,496 - Model - INFO - Eval mean loss: 0.898605
2019-12-19 06:05:06,496 - Model - INFO - Eval accuracy: 0.767324
2019-12-19 06:05:06,497 - Model - INFO - **** Epoch 805 (805/1024) ****
2019-12-19 06:05:06,497 - Model - INFO - Learning rate:0.000240
2019-12-19 06:05:25,029 - Model - INFO - Training mean loss: 0.235816
2019-12-19 06:05:25,029 - Model - INFO - Training accuracy: 0.917702
2019-12-19 06:05:25,031 - Model - INFO - ---- EPOCH 805 EVALUATION ----
2019-12-19 06:05:33,531 - Model - INFO - Eval mean loss: 0.808864
2019-12-19 06:05:33,531 - Model - INFO - Eval accuracy: 0.785266
2019-12-19 06:05:33,531 - Model - INFO - **** Epoch 806 (806/1024) ****
2019-12-19 06:05:33,531 - Model - INFO - Learning rate:0.000240
2019-12-19 06:05:52,258 - Model - INFO - Training mean loss: 0.226781
2019-12-19 06:05:52,258 - Model - INFO - Training accuracy: 0.923186
2019-12-19 06:05:52,259 - Model - INFO - ---- EPOCH 806 EVALUATION ----
2019-12-19 06:06:00,857 - Model - INFO - Eval mean loss: 0.770779
2019-12-19 06:06:00,857 - Model - INFO - Eval accuracy: 0.774914
2019-12-19 06:06:00,857 - Model - INFO - ---- EPOCH 806 EVALUATION WHOLE SCENE----
2019-12-19 06:08:26,390 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:08:26,390 - Model - INFO - eval point avg class IoU: 0.499201
2019-12-19 06:08:26,390 - Model - INFO - eval whole scene point accuracy: 0.821731
2019-12-19 06:08:26,390 - Model - INFO - eval whole scene point avg class acc: 0.609017
2019-12-19 06:08:26,390 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.900 
class floor          weight: 0.157, IoU: 0.970 
class wall           weight: 0.278, IoU: 0.740 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.098 
class window         weight: 0.026, IoU: 0.620 
class door           weight: 0.036, IoU: 0.199 
class table          weight: 0.038, IoU: 0.656 
class chair          weight: 0.020, IoU: 0.618 
class sofa           weight: 0.002, IoU: 0.163 
class bookcase       weight: 0.130, IoU: 0.635 
class board          weight: 0.014, IoU: 0.503 
class clutter        weight: 0.087, IoU: 0.387 

2019-12-19 06:08:26,390 - Model - INFO - Save model...
2019-12-19 06:08:26,391 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:08:26,414 - Model - INFO - Saving model....
2019-12-19 06:08:26,414 - Model - INFO - **** Epoch 807 (807/1024) ****
2019-12-19 06:08:26,414 - Model - INFO - Learning rate:0.000240
2019-12-19 06:08:43,839 - Model - INFO - Training mean loss: 0.225804
2019-12-19 06:08:43,839 - Model - INFO - Training accuracy: 0.920894
2019-12-19 06:08:43,840 - Model - INFO - ---- EPOCH 807 EVALUATION ----
2019-12-19 06:08:52,332 - Model - INFO - Eval mean loss: 0.681469
2019-12-19 06:08:52,332 - Model - INFO - Eval accuracy: 0.803577
2019-12-19 06:08:52,332 - Model - INFO - **** Epoch 808 (808/1024) ****
2019-12-19 06:08:52,332 - Model - INFO - Learning rate:0.000240
2019-12-19 06:09:12,133 - Model - INFO - Training mean loss: 0.228085
2019-12-19 06:09:12,134 - Model - INFO - Training accuracy: 0.919110
2019-12-19 06:09:12,135 - Model - INFO - ---- EPOCH 808 EVALUATION ----
2019-12-19 06:09:20,539 - Model - INFO - Eval mean loss: 0.843780
2019-12-19 06:09:20,540 - Model - INFO - Eval accuracy: 0.785801
2019-12-19 06:09:20,540 - Model - INFO - **** Epoch 809 (809/1024) ****
2019-12-19 06:09:20,540 - Model - INFO - Learning rate:0.000240
2019-12-19 06:09:38,270 - Model - INFO - Training mean loss: 0.241132
2019-12-19 06:09:38,270 - Model - INFO - Training accuracy: 0.915478
2019-12-19 06:09:38,272 - Model - INFO - ---- EPOCH 809 EVALUATION ----
2019-12-19 06:09:46,735 - Model - INFO - Eval mean loss: 0.856335
2019-12-19 06:09:46,735 - Model - INFO - Eval accuracy: 0.782700
2019-12-19 06:09:46,735 - Model - INFO - **** Epoch 810 (810/1024) ****
2019-12-19 06:09:46,735 - Model - INFO - Learning rate:0.000240
2019-12-19 06:10:04,691 - Model - INFO - Training mean loss: 0.219209
2019-12-19 06:10:04,691 - Model - INFO - Training accuracy: 0.925559
2019-12-19 06:10:04,692 - Model - INFO - ---- EPOCH 810 EVALUATION ----
2019-12-19 06:10:13,096 - Model - INFO - Eval mean loss: 0.843098
2019-12-19 06:10:13,097 - Model - INFO - Eval accuracy: 0.771717
2019-12-19 06:10:13,097 - Model - INFO - **** Epoch 811 (811/1024) ****
2019-12-19 06:10:13,097 - Model - INFO - Learning rate:0.000240
2019-12-19 06:10:31,787 - Model - INFO - Training mean loss: 0.228380
2019-12-19 06:10:31,787 - Model - INFO - Training accuracy: 0.919157
2019-12-19 06:10:31,789 - Model - INFO - ---- EPOCH 811 EVALUATION ----
2019-12-19 06:10:40,269 - Model - INFO - Eval mean loss: 0.828825
2019-12-19 06:10:40,269 - Model - INFO - Eval accuracy: 0.774667
2019-12-19 06:10:40,269 - Model - INFO - ---- EPOCH 811 EVALUATION WHOLE SCENE----
2019-12-19 06:13:03,851 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:13:03,851 - Model - INFO - eval point avg class IoU: 0.192688
2019-12-19 06:13:03,851 - Model - INFO - eval whole scene point accuracy: 0.646836
2019-12-19 06:13:03,851 - Model - INFO - eval whole scene point avg class acc: 0.256027
2019-12-19 06:13:03,852 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.778 
class floor          weight: 0.157, IoU: 0.919 
class wall           weight: 0.278, IoU: 0.532 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.001 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.161 
class sofa           weight: 0.002, IoU: 0.013 
class bookcase       weight: 0.130, IoU: 0.007 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.094 

2019-12-19 06:13:03,852 - Model - INFO - Save model...
2019-12-19 06:13:03,852 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:13:03,875 - Model - INFO - Saving model....
2019-12-19 06:13:03,875 - Model - INFO - **** Epoch 812 (812/1024) ****
2019-12-19 06:13:03,875 - Model - INFO - Learning rate:0.000240
2019-12-19 06:13:21,902 - Model - INFO - Training mean loss: 0.238608
2019-12-19 06:13:21,902 - Model - INFO - Training accuracy: 0.918951
2019-12-19 06:13:21,904 - Model - INFO - ---- EPOCH 812 EVALUATION ----
2019-12-19 06:13:30,446 - Model - INFO - Eval mean loss: 0.931989
2019-12-19 06:13:30,447 - Model - INFO - Eval accuracy: 0.752457
2019-12-19 06:13:30,447 - Model - INFO - **** Epoch 813 (813/1024) ****
2019-12-19 06:13:30,447 - Model - INFO - Learning rate:0.000240
2019-12-19 06:13:48,558 - Model - INFO - Training mean loss: 0.249988
2019-12-19 06:13:48,558 - Model - INFO - Training accuracy: 0.915339
2019-12-19 06:13:48,559 - Model - INFO - ---- EPOCH 813 EVALUATION ----
2019-12-19 06:13:57,005 - Model - INFO - Eval mean loss: 0.955999
2019-12-19 06:13:57,006 - Model - INFO - Eval accuracy: 0.763511
2019-12-19 06:13:57,006 - Model - INFO - **** Epoch 814 (814/1024) ****
2019-12-19 06:13:57,006 - Model - INFO - Learning rate:0.000240
2019-12-19 06:14:14,754 - Model - INFO - Training mean loss: 0.218097
2019-12-19 06:14:14,754 - Model - INFO - Training accuracy: 0.921202
2019-12-19 06:14:14,756 - Model - INFO - ---- EPOCH 814 EVALUATION ----
2019-12-19 06:14:23,299 - Model - INFO - Eval mean loss: 0.909392
2019-12-19 06:14:23,300 - Model - INFO - Eval accuracy: 0.765986
2019-12-19 06:14:23,300 - Model - INFO - **** Epoch 815 (815/1024) ****
2019-12-19 06:14:23,300 - Model - INFO - Learning rate:0.000240
2019-12-19 06:14:42,293 - Model - INFO - Training mean loss: 0.231482
2019-12-19 06:14:42,293 - Model - INFO - Training accuracy: 0.922399
2019-12-19 06:14:42,295 - Model - INFO - ---- EPOCH 815 EVALUATION ----
2019-12-19 06:14:50,936 - Model - INFO - Eval mean loss: 0.824888
2019-12-19 06:14:50,937 - Model - INFO - Eval accuracy: 0.789283
2019-12-19 06:14:50,937 - Model - INFO - **** Epoch 816 (816/1024) ****
2019-12-19 06:14:50,937 - Model - INFO - Learning rate:0.000240
2019-12-19 06:15:08,694 - Model - INFO - Training mean loss: 0.248798
2019-12-19 06:15:08,694 - Model - INFO - Training accuracy: 0.914709
2019-12-19 06:15:08,696 - Model - INFO - ---- EPOCH 816 EVALUATION ----
2019-12-19 06:15:17,204 - Model - INFO - Eval mean loss: 0.851374
2019-12-19 06:15:17,204 - Model - INFO - Eval accuracy: 0.762712
2019-12-19 06:15:17,204 - Model - INFO - ---- EPOCH 816 EVALUATION WHOLE SCENE----
2019-12-19 06:17:43,040 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:17:43,040 - Model - INFO - eval point avg class IoU: 0.192148
2019-12-19 06:17:43,040 - Model - INFO - eval whole scene point accuracy: 0.646823
2019-12-19 06:17:43,040 - Model - INFO - eval whole scene point avg class acc: 0.249274
2019-12-19 06:17:43,040 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.791 
class floor          weight: 0.157, IoU: 0.932 
class wall           weight: 0.278, IoU: 0.524 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.001 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.161 
class sofa           weight: 0.002, IoU: 0.001 
class bookcase       weight: 0.131, IoU: 0.003 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.084 

2019-12-19 06:17:43,040 - Model - INFO - Save model...
2019-12-19 06:17:43,040 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:17:43,064 - Model - INFO - Saving model....
2019-12-19 06:17:43,064 - Model - INFO - **** Epoch 817 (817/1024) ****
2019-12-19 06:17:43,064 - Model - INFO - Learning rate:0.000240
2019-12-19 06:18:00,657 - Model - INFO - Training mean loss: 0.233530
2019-12-19 06:18:00,657 - Model - INFO - Training accuracy: 0.916013
2019-12-19 06:18:00,658 - Model - INFO - ---- EPOCH 817 EVALUATION ----
2019-12-19 06:18:09,190 - Model - INFO - Eval mean loss: 0.731432
2019-12-19 06:18:09,190 - Model - INFO - Eval accuracy: 0.792294
2019-12-19 06:18:09,190 - Model - INFO - **** Epoch 818 (818/1024) ****
2019-12-19 06:18:09,190 - Model - INFO - Learning rate:0.000240
2019-12-19 06:18:27,665 - Model - INFO - Training mean loss: 0.244658
2019-12-19 06:18:27,665 - Model - INFO - Training accuracy: 0.916151
2019-12-19 06:18:27,667 - Model - INFO - ---- EPOCH 818 EVALUATION ----
2019-12-19 06:18:36,381 - Model - INFO - Eval mean loss: 0.874491
2019-12-19 06:18:36,381 - Model - INFO - Eval accuracy: 0.789191
2019-12-19 06:18:36,381 - Model - INFO - **** Epoch 819 (819/1024) ****
2019-12-19 06:18:36,381 - Model - INFO - Learning rate:0.000240
2019-12-19 06:18:55,491 - Model - INFO - Training mean loss: 0.242106
2019-12-19 06:18:55,492 - Model - INFO - Training accuracy: 0.914106
2019-12-19 06:18:55,494 - Model - INFO - ---- EPOCH 819 EVALUATION ----
2019-12-19 06:19:04,358 - Model - INFO - Eval mean loss: 0.778180
2019-12-19 06:19:04,358 - Model - INFO - Eval accuracy: 0.777291
2019-12-19 06:19:04,358 - Model - INFO - **** Epoch 820 (820/1024) ****
2019-12-19 06:19:04,358 - Model - INFO - Learning rate:0.000240
2019-12-19 06:19:23,792 - Model - INFO - Training mean loss: 0.242048
2019-12-19 06:19:23,792 - Model - INFO - Training accuracy: 0.914401
2019-12-19 06:19:23,794 - Model - INFO - ---- EPOCH 820 EVALUATION ----
2019-12-19 06:19:32,703 - Model - INFO - Eval mean loss: 0.917261
2019-12-19 06:19:32,703 - Model - INFO - Eval accuracy: 0.775063
2019-12-19 06:19:32,703 - Model - INFO - **** Epoch 821 (821/1024) ****
2019-12-19 06:19:32,703 - Model - INFO - Learning rate:0.000240
2019-12-19 06:19:50,944 - Model - INFO - Training mean loss: 0.247089
2019-12-19 06:19:50,944 - Model - INFO - Training accuracy: 0.914880
2019-12-19 06:19:50,946 - Model - INFO - ---- EPOCH 821 EVALUATION ----
2019-12-19 06:19:59,949 - Model - INFO - Eval mean loss: 0.663443
2019-12-19 06:19:59,949 - Model - INFO - Eval accuracy: 0.787606
2019-12-19 06:19:59,950 - Model - INFO - ---- EPOCH 821 EVALUATION WHOLE SCENE----
2019-12-19 06:22:47,316 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:22:47,317 - Model - INFO - eval point avg class IoU: 0.196641
2019-12-19 06:22:47,317 - Model - INFO - eval whole scene point accuracy: 0.618805
2019-12-19 06:22:47,317 - Model - INFO - eval whole scene point avg class acc: 0.250714
2019-12-19 06:22:47,317 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.831 
class floor          weight: 0.157, IoU: 0.927 
class wall           weight: 0.278, IoU: 0.497 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.009 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.189 
class sofa           weight: 0.002, IoU: 0.000 
class bookcase       weight: 0.130, IoU: 0.006 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.097 

2019-12-19 06:22:47,317 - Model - INFO - Save model...
2019-12-19 06:22:47,317 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:22:47,339 - Model - INFO - Saving model....
2019-12-19 06:22:47,339 - Model - INFO - **** Epoch 822 (822/1024) ****
2019-12-19 06:22:47,339 - Model - INFO - Learning rate:0.000240
2019-12-19 06:23:06,166 - Model - INFO - Training mean loss: 0.237628
2019-12-19 06:23:06,166 - Model - INFO - Training accuracy: 0.917086
2019-12-19 06:23:06,168 - Model - INFO - ---- EPOCH 822 EVALUATION ----
2019-12-19 06:23:15,211 - Model - INFO - Eval mean loss: 0.649080
2019-12-19 06:23:15,212 - Model - INFO - Eval accuracy: 0.790938
2019-12-19 06:23:15,212 - Model - INFO - **** Epoch 823 (823/1024) ****
2019-12-19 06:23:15,212 - Model - INFO - Learning rate:0.000240
2019-12-19 06:23:35,086 - Model - INFO - Training mean loss: 0.230723
2019-12-19 06:23:35,086 - Model - INFO - Training accuracy: 0.919691
2019-12-19 06:23:35,089 - Model - INFO - ---- EPOCH 823 EVALUATION ----
2019-12-19 06:23:44,014 - Model - INFO - Eval mean loss: 0.918630
2019-12-19 06:23:44,015 - Model - INFO - Eval accuracy: 0.747306
2019-12-19 06:23:44,015 - Model - INFO - **** Epoch 824 (824/1024) ****
2019-12-19 06:23:44,015 - Model - INFO - Learning rate:0.000240
2019-12-19 06:24:06,179 - Model - INFO - Training mean loss: 0.219106
2019-12-19 06:24:06,179 - Model - INFO - Training accuracy: 0.926495
2019-12-19 06:24:06,182 - Model - INFO - ---- EPOCH 824 EVALUATION ----
2019-12-19 06:24:14,968 - Model - INFO - Eval mean loss: 0.705493
2019-12-19 06:24:14,968 - Model - INFO - Eval accuracy: 0.789305
2019-12-19 06:24:14,968 - Model - INFO - **** Epoch 825 (825/1024) ****
2019-12-19 06:24:14,968 - Model - INFO - Learning rate:0.000240
2019-12-19 06:24:33,645 - Model - INFO - Training mean loss: 0.254082
2019-12-19 06:24:33,645 - Model - INFO - Training accuracy: 0.916034
2019-12-19 06:24:33,647 - Model - INFO - ---- EPOCH 825 EVALUATION ----
2019-12-19 06:24:42,428 - Model - INFO - Eval mean loss: 0.991552
2019-12-19 06:24:42,429 - Model - INFO - Eval accuracy: 0.747103
2019-12-19 06:24:42,429 - Model - INFO - **** Epoch 826 (826/1024) ****
2019-12-19 06:24:42,429 - Model - INFO - Learning rate:0.000240
2019-12-19 06:25:02,144 - Model - INFO - Training mean loss: 0.229058
2019-12-19 06:25:02,145 - Model - INFO - Training accuracy: 0.920251
2019-12-19 06:25:02,146 - Model - INFO - ---- EPOCH 826 EVALUATION ----
2019-12-19 06:25:11,546 - Model - INFO - Eval mean loss: 0.760678
2019-12-19 06:25:11,547 - Model - INFO - Eval accuracy: 0.789892
2019-12-19 06:25:11,547 - Model - INFO - ---- EPOCH 826 EVALUATION WHOLE SCENE----
2019-12-19 06:27:59,283 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:27:59,283 - Model - INFO - eval point avg class IoU: 0.189733
2019-12-19 06:27:59,283 - Model - INFO - eval whole scene point accuracy: 0.580086
2019-12-19 06:27:59,283 - Model - INFO - eval whole scene point avg class acc: 0.247733
2019-12-19 06:27:59,283 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.837 
class floor          weight: 0.157, IoU: 0.946 
class wall           weight: 0.278, IoU: 0.443 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.012 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.084 
class sofa           weight: 0.002, IoU: 0.012 
class bookcase       weight: 0.131, IoU: 0.025 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.106 

2019-12-19 06:27:59,284 - Model - INFO - Save model...
2019-12-19 06:27:59,284 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:27:59,329 - Model - INFO - Saving model....
2019-12-19 06:27:59,329 - Model - INFO - **** Epoch 827 (827/1024) ****
2019-12-19 06:27:59,329 - Model - INFO - Learning rate:0.000240
2019-12-19 06:28:17,918 - Model - INFO - Training mean loss: 0.242036
2019-12-19 06:28:17,918 - Model - INFO - Training accuracy: 0.915716
2019-12-19 06:28:17,919 - Model - INFO - ---- EPOCH 827 EVALUATION ----
2019-12-19 06:28:26,894 - Model - INFO - Eval mean loss: 0.871162
2019-12-19 06:28:26,894 - Model - INFO - Eval accuracy: 0.765700
2019-12-19 06:28:26,894 - Model - INFO - **** Epoch 828 (828/1024) ****
2019-12-19 06:28:26,895 - Model - INFO - Learning rate:0.000240
2019-12-19 06:28:44,241 - Model - INFO - Training mean loss: 0.252841
2019-12-19 06:28:44,242 - Model - INFO - Training accuracy: 0.914761
2019-12-19 06:28:44,244 - Model - INFO - ---- EPOCH 828 EVALUATION ----
2019-12-19 06:28:53,147 - Model - INFO - Eval mean loss: 0.726898
2019-12-19 06:28:53,147 - Model - INFO - Eval accuracy: 0.780039
2019-12-19 06:28:53,147 - Model - INFO - **** Epoch 829 (829/1024) ****
2019-12-19 06:28:53,147 - Model - INFO - Learning rate:0.000240
2019-12-19 06:29:13,009 - Model - INFO - Training mean loss: 0.240487
2019-12-19 06:29:13,009 - Model - INFO - Training accuracy: 0.914757
2019-12-19 06:29:13,012 - Model - INFO - ---- EPOCH 829 EVALUATION ----
2019-12-19 06:29:22,203 - Model - INFO - Eval mean loss: 0.962117
2019-12-19 06:29:22,204 - Model - INFO - Eval accuracy: 0.758830
2019-12-19 06:29:22,204 - Model - INFO - **** Epoch 830 (830/1024) ****
2019-12-19 06:29:22,204 - Model - INFO - Learning rate:0.000240
2019-12-19 06:29:41,878 - Model - INFO - Training mean loss: 0.218736
2019-12-19 06:29:41,878 - Model - INFO - Training accuracy: 0.924890
2019-12-19 06:29:41,881 - Model - INFO - ---- EPOCH 830 EVALUATION ----
2019-12-19 06:29:50,926 - Model - INFO - Eval mean loss: 0.888412
2019-12-19 06:29:50,926 - Model - INFO - Eval accuracy: 0.769740
2019-12-19 06:29:50,926 - Model - INFO - **** Epoch 831 (831/1024) ****
2019-12-19 06:29:50,926 - Model - INFO - Learning rate:0.000240
2019-12-19 06:30:09,972 - Model - INFO - Training mean loss: 0.222891
2019-12-19 06:30:09,972 - Model - INFO - Training accuracy: 0.923772
2019-12-19 06:30:09,975 - Model - INFO - ---- EPOCH 831 EVALUATION ----
2019-12-19 06:30:19,132 - Model - INFO - Eval mean loss: 0.898367
2019-12-19 06:30:19,132 - Model - INFO - Eval accuracy: 0.770803
2019-12-19 06:30:19,132 - Model - INFO - ---- EPOCH 831 EVALUATION WHOLE SCENE----
2019-12-19 06:33:04,088 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:33:04,088 - Model - INFO - eval point avg class IoU: 0.200359
2019-12-19 06:33:04,088 - Model - INFO - eval whole scene point accuracy: 0.636048
2019-12-19 06:33:04,089 - Model - INFO - eval whole scene point avg class acc: 0.263506
2019-12-19 06:33:04,089 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.196, IoU: 0.815 
class floor          weight: 0.157, IoU: 0.923 
class wall           weight: 0.278, IoU: 0.524 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.009 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.212 
class sofa           weight: 0.002, IoU: 0.010 
class bookcase       weight: 0.130, IoU: 0.002 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.109 

2019-12-19 06:33:04,089 - Model - INFO - Save model...
2019-12-19 06:33:04,089 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:33:04,112 - Model - INFO - Saving model....
2019-12-19 06:33:04,112 - Model - INFO - **** Epoch 832 (832/1024) ****
2019-12-19 06:33:04,112 - Model - INFO - Learning rate:0.000240
2019-12-19 06:33:22,495 - Model - INFO - Training mean loss: 0.220426
2019-12-19 06:33:22,495 - Model - INFO - Training accuracy: 0.922587
2019-12-19 06:33:22,498 - Model - INFO - ---- EPOCH 832 EVALUATION ----
2019-12-19 06:33:31,415 - Model - INFO - Eval mean loss: 0.862354
2019-12-19 06:33:31,415 - Model - INFO - Eval accuracy: 0.794545
2019-12-19 06:33:31,416 - Model - INFO - **** Epoch 833 (833/1024) ****
2019-12-19 06:33:31,416 - Model - INFO - Learning rate:0.000240
2019-12-19 06:33:51,002 - Model - INFO - Training mean loss: 0.242748
2019-12-19 06:33:51,002 - Model - INFO - Training accuracy: 0.916104
2019-12-19 06:33:51,005 - Model - INFO - ---- EPOCH 833 EVALUATION ----
2019-12-19 06:34:00,216 - Model - INFO - Eval mean loss: 0.825396
2019-12-19 06:34:00,217 - Model - INFO - Eval accuracy: 0.775435
2019-12-19 06:34:00,217 - Model - INFO - **** Epoch 834 (834/1024) ****
2019-12-19 06:34:00,217 - Model - INFO - Learning rate:0.000240
2019-12-19 06:34:19,976 - Model - INFO - Training mean loss: 0.230451
2019-12-19 06:34:19,977 - Model - INFO - Training accuracy: 0.919846
2019-12-19 06:34:19,980 - Model - INFO - ---- EPOCH 834 EVALUATION ----
2019-12-19 06:34:29,229 - Model - INFO - Eval mean loss: 0.807929
2019-12-19 06:34:29,229 - Model - INFO - Eval accuracy: 0.783522
2019-12-19 06:34:29,229 - Model - INFO - **** Epoch 835 (835/1024) ****
2019-12-19 06:34:29,230 - Model - INFO - Learning rate:0.000240
2019-12-19 06:34:49,647 - Model - INFO - Training mean loss: 0.221736
2019-12-19 06:34:49,647 - Model - INFO - Training accuracy: 0.922287
2019-12-19 06:34:49,650 - Model - INFO - ---- EPOCH 835 EVALUATION ----
2019-12-19 06:34:58,642 - Model - INFO - Eval mean loss: 0.929860
2019-12-19 06:34:58,642 - Model - INFO - Eval accuracy: 0.770503
2019-12-19 06:34:58,642 - Model - INFO - **** Epoch 836 (836/1024) ****
2019-12-19 06:34:58,642 - Model - INFO - Learning rate:0.000240
2019-12-19 06:35:18,621 - Model - INFO - Training mean loss: 0.233960
2019-12-19 06:35:18,621 - Model - INFO - Training accuracy: 0.919057
2019-12-19 06:35:18,622 - Model - INFO - ---- EPOCH 836 EVALUATION ----
2019-12-19 06:35:27,720 - Model - INFO - Eval mean loss: 0.733570
2019-12-19 06:35:27,720 - Model - INFO - Eval accuracy: 0.791036
2019-12-19 06:35:27,720 - Model - INFO - ---- EPOCH 836 EVALUATION WHOLE SCENE----
2019-12-19 06:38:06,962 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:38:06,963 - Model - INFO - eval point avg class IoU: 0.190652
2019-12-19 06:38:06,963 - Model - INFO - eval whole scene point accuracy: 0.533332
2019-12-19 06:38:06,963 - Model - INFO - eval whole scene point avg class acc: 0.240799
2019-12-19 06:38:06,964 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.829 
class floor          weight: 0.157, IoU: 0.932 
class wall           weight: 0.278, IoU: 0.363 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.025 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.196 
class sofa           weight: 0.002, IoU: 0.007 
class bookcase       weight: 0.130, IoU: 0.032 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.096 

2019-12-19 06:38:06,964 - Model - INFO - Save model...
2019-12-19 06:38:06,964 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:38:07,009 - Model - INFO - Saving model....
2019-12-19 06:38:07,009 - Model - INFO - **** Epoch 837 (837/1024) ****
2019-12-19 06:38:07,009 - Model - INFO - Learning rate:0.000240
2019-12-19 06:38:27,073 - Model - INFO - Training mean loss: 0.232955
2019-12-19 06:38:27,074 - Model - INFO - Training accuracy: 0.920032
2019-12-19 06:38:27,075 - Model - INFO - ---- EPOCH 837 EVALUATION ----
2019-12-19 06:38:36,002 - Model - INFO - Eval mean loss: 0.745513
2019-12-19 06:38:36,002 - Model - INFO - Eval accuracy: 0.795944
2019-12-19 06:38:36,002 - Model - INFO - **** Epoch 838 (838/1024) ****
2019-12-19 06:38:36,002 - Model - INFO - Learning rate:0.000240
2019-12-19 06:38:59,683 - Model - INFO - Training mean loss: 0.222181
2019-12-19 06:38:59,686 - Model - INFO - Training accuracy: 0.922308
2019-12-19 06:38:59,691 - Model - INFO - ---- EPOCH 838 EVALUATION ----
2019-12-19 06:39:08,859 - Model - INFO - Eval mean loss: 0.977500
2019-12-19 06:39:08,859 - Model - INFO - Eval accuracy: 0.752174
2019-12-19 06:39:08,860 - Model - INFO - **** Epoch 839 (839/1024) ****
2019-12-19 06:39:08,860 - Model - INFO - Learning rate:0.000240
2019-12-19 06:39:28,509 - Model - INFO - Training mean loss: 0.226890
2019-12-19 06:39:28,511 - Model - INFO - Training accuracy: 0.922056
2019-12-19 06:39:28,516 - Model - INFO - ---- EPOCH 839 EVALUATION ----
2019-12-19 06:39:37,198 - Model - INFO - Eval mean loss: 0.799833
2019-12-19 06:39:37,199 - Model - INFO - Eval accuracy: 0.773280
2019-12-19 06:39:37,199 - Model - INFO - **** Epoch 840 (840/1024) ****
2019-12-19 06:39:37,199 - Model - INFO - Learning rate:0.000240
2019-12-19 06:39:56,772 - Model - INFO - Training mean loss: 0.235150
2019-12-19 06:39:56,772 - Model - INFO - Training accuracy: 0.918668
2019-12-19 06:39:56,774 - Model - INFO - ---- EPOCH 840 EVALUATION ----
2019-12-19 06:40:05,284 - Model - INFO - Eval mean loss: 1.041737
2019-12-19 06:40:05,284 - Model - INFO - Eval accuracy: 0.754918
2019-12-19 06:40:05,284 - Model - INFO - **** Epoch 841 (841/1024) ****
2019-12-19 06:40:05,284 - Model - INFO - Learning rate:0.000240
2019-12-19 06:40:23,068 - Model - INFO - Training mean loss: 0.242295
2019-12-19 06:40:23,068 - Model - INFO - Training accuracy: 0.913852
2019-12-19 06:40:23,070 - Model - INFO - ---- EPOCH 841 EVALUATION ----
2019-12-19 06:40:31,627 - Model - INFO - Eval mean loss: 0.684350
2019-12-19 06:40:31,627 - Model - INFO - Eval accuracy: 0.800162
2019-12-19 06:40:31,627 - Model - INFO - ---- EPOCH 841 EVALUATION WHOLE SCENE----
2019-12-19 06:42:53,727 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:42:53,727 - Model - INFO - eval point avg class IoU: 0.187953
2019-12-19 06:42:53,727 - Model - INFO - eval whole scene point accuracy: 0.641962
2019-12-19 06:42:53,727 - Model - INFO - eval whole scene point avg class acc: 0.246148
2019-12-19 06:42:53,727 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.813 
class floor          weight: 0.157, IoU: 0.908 
class wall           weight: 0.278, IoU: 0.512 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.001 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.166 
class sofa           weight: 0.002, IoU: 0.003 
class bookcase       weight: 0.131, IoU: 0.000 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.039 

2019-12-19 06:42:53,727 - Model - INFO - Save model...
2019-12-19 06:42:53,727 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:42:53,753 - Model - INFO - Saving model....
2019-12-19 06:42:53,753 - Model - INFO - **** Epoch 842 (842/1024) ****
2019-12-19 06:42:53,753 - Model - INFO - Learning rate:0.000240
2019-12-19 06:43:12,931 - Model - INFO - Training mean loss: 0.225269
2019-12-19 06:43:12,931 - Model - INFO - Training accuracy: 0.924081
2019-12-19 06:43:12,934 - Model - INFO - ---- EPOCH 842 EVALUATION ----
2019-12-19 06:43:21,732 - Model - INFO - Eval mean loss: 0.921070
2019-12-19 06:43:21,733 - Model - INFO - Eval accuracy: 0.776735
2019-12-19 06:43:21,733 - Model - INFO - **** Epoch 843 (843/1024) ****
2019-12-19 06:43:21,733 - Model - INFO - Learning rate:0.000240
2019-12-19 06:43:40,504 - Model - INFO - Training mean loss: 0.233540
2019-12-19 06:43:40,504 - Model - INFO - Training accuracy: 0.918695
2019-12-19 06:43:40,506 - Model - INFO - ---- EPOCH 843 EVALUATION ----
2019-12-19 06:43:49,264 - Model - INFO - Eval mean loss: 0.714735
2019-12-19 06:43:49,264 - Model - INFO - Eval accuracy: 0.791156
2019-12-19 06:43:49,264 - Model - INFO - **** Epoch 844 (844/1024) ****
2019-12-19 06:43:49,264 - Model - INFO - Learning rate:0.000240
2019-12-19 06:44:09,444 - Model - INFO - Training mean loss: 0.245871
2019-12-19 06:44:09,444 - Model - INFO - Training accuracy: 0.916698
2019-12-19 06:44:09,446 - Model - INFO - ---- EPOCH 844 EVALUATION ----
2019-12-19 06:44:18,054 - Model - INFO - Eval mean loss: 0.691277
2019-12-19 06:44:18,054 - Model - INFO - Eval accuracy: 0.791712
2019-12-19 06:44:18,054 - Model - INFO - **** Epoch 845 (845/1024) ****
2019-12-19 06:44:18,054 - Model - INFO - Learning rate:0.000240
2019-12-19 06:44:36,769 - Model - INFO - Training mean loss: 0.259706
2019-12-19 06:44:36,769 - Model - INFO - Training accuracy: 0.913146
2019-12-19 06:44:36,772 - Model - INFO - ---- EPOCH 845 EVALUATION ----
2019-12-19 06:44:45,404 - Model - INFO - Eval mean loss: 0.768413
2019-12-19 06:44:45,405 - Model - INFO - Eval accuracy: 0.776945
2019-12-19 06:44:45,405 - Model - INFO - **** Epoch 846 (846/1024) ****
2019-12-19 06:44:45,405 - Model - INFO - Learning rate:0.000240
2019-12-19 06:45:03,801 - Model - INFO - Training mean loss: 0.247777
2019-12-19 06:45:03,801 - Model - INFO - Training accuracy: 0.913859
2019-12-19 06:45:03,802 - Model - INFO - ---- EPOCH 846 EVALUATION ----
2019-12-19 06:45:12,507 - Model - INFO - Eval mean loss: 0.981227
2019-12-19 06:45:12,508 - Model - INFO - Eval accuracy: 0.764674
2019-12-19 06:45:12,508 - Model - INFO - ---- EPOCH 846 EVALUATION WHOLE SCENE----
2019-12-19 06:47:33,565 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:47:33,566 - Model - INFO - eval point avg class IoU: 0.204771
2019-12-19 06:47:33,566 - Model - INFO - eval whole scene point accuracy: 0.601075
2019-12-19 06:47:33,566 - Model - INFO - eval whole scene point avg class acc: 0.274358
2019-12-19 06:47:33,566 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.821 
class floor          weight: 0.157, IoU: 0.928 
class wall           weight: 0.278, IoU: 0.471 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.015 
class table          weight: 0.038, IoU: 0.002 
class chair          weight: 0.020, IoU: 0.252 
class sofa           weight: 0.002, IoU: 0.012 
class bookcase       weight: 0.130, IoU: 0.021 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.139 

2019-12-19 06:47:33,566 - Model - INFO - Save model...
2019-12-19 06:47:33,566 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:47:33,589 - Model - INFO - Saving model....
2019-12-19 06:47:33,589 - Model - INFO - **** Epoch 847 (847/1024) ****
2019-12-19 06:47:33,589 - Model - INFO - Learning rate:0.000240
2019-12-19 06:47:53,371 - Model - INFO - Training mean loss: 0.227607
2019-12-19 06:47:53,371 - Model - INFO - Training accuracy: 0.921282
2019-12-19 06:47:53,374 - Model - INFO - ---- EPOCH 847 EVALUATION ----
2019-12-19 06:48:02,023 - Model - INFO - Eval mean loss: 0.763337
2019-12-19 06:48:02,024 - Model - INFO - Eval accuracy: 0.789647
2019-12-19 06:48:02,024 - Model - INFO - **** Epoch 848 (848/1024) ****
2019-12-19 06:48:02,024 - Model - INFO - Learning rate:0.000240
2019-12-19 06:48:19,228 - Model - INFO - Training mean loss: 0.240951
2019-12-19 06:48:19,229 - Model - INFO - Training accuracy: 0.921011
2019-12-19 06:48:19,231 - Model - INFO - ---- EPOCH 848 EVALUATION ----
2019-12-19 06:48:27,741 - Model - INFO - Eval mean loss: 0.767923
2019-12-19 06:48:27,741 - Model - INFO - Eval accuracy: 0.779170
2019-12-19 06:48:27,741 - Model - INFO - **** Epoch 849 (849/1024) ****
2019-12-19 06:48:27,741 - Model - INFO - Learning rate:0.000240
2019-12-19 06:48:46,256 - Model - INFO - Training mean loss: 0.238130
2019-12-19 06:48:46,256 - Model - INFO - Training accuracy: 0.917099
2019-12-19 06:48:46,258 - Model - INFO - ---- EPOCH 849 EVALUATION ----
2019-12-19 06:48:55,077 - Model - INFO - Eval mean loss: 1.019721
2019-12-19 06:48:55,077 - Model - INFO - Eval accuracy: 0.754862
2019-12-19 06:48:55,077 - Model - INFO - **** Epoch 850 (850/1024) ****
2019-12-19 06:48:55,077 - Model - INFO - Learning rate:0.000240
2019-12-19 06:49:13,130 - Model - INFO - Training mean loss: 0.223882
2019-12-19 06:49:13,130 - Model - INFO - Training accuracy: 0.922036
2019-12-19 06:49:13,132 - Model - INFO - ---- EPOCH 850 EVALUATION ----
2019-12-19 06:49:21,767 - Model - INFO - Eval mean loss: 0.786686
2019-12-19 06:49:21,767 - Model - INFO - Eval accuracy: 0.778698
2019-12-19 06:49:21,768 - Model - INFO - **** Epoch 851 (851/1024) ****
2019-12-19 06:49:21,768 - Model - INFO - Learning rate:0.000240
2019-12-19 06:49:41,114 - Model - INFO - Training mean loss: 0.230242
2019-12-19 06:49:41,114 - Model - INFO - Training accuracy: 0.919788
2019-12-19 06:49:41,115 - Model - INFO - ---- EPOCH 851 EVALUATION ----
2019-12-19 06:49:49,670 - Model - INFO - Eval mean loss: 0.755196
2019-12-19 06:49:49,670 - Model - INFO - Eval accuracy: 0.783190
2019-12-19 06:49:49,671 - Model - INFO - ---- EPOCH 851 EVALUATION WHOLE SCENE----
2019-12-19 06:52:10,252 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:52:10,252 - Model - INFO - eval point avg class IoU: 0.196283
2019-12-19 06:52:10,252 - Model - INFO - eval whole scene point accuracy: 0.635240
2019-12-19 06:52:10,252 - Model - INFO - eval whole scene point avg class acc: 0.251994
2019-12-19 06:52:10,253 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.822 
class floor          weight: 0.157, IoU: 0.926 
class wall           weight: 0.278, IoU: 0.510 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.006 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.201 
class sofa           weight: 0.002, IoU: 0.000 
class bookcase       weight: 0.131, IoU: 0.011 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.075 

2019-12-19 06:52:10,253 - Model - INFO - Save model...
2019-12-19 06:52:10,253 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:52:10,276 - Model - INFO - Saving model....
2019-12-19 06:52:10,276 - Model - INFO - **** Epoch 852 (852/1024) ****
2019-12-19 06:52:10,276 - Model - INFO - Learning rate:0.000240
2019-12-19 06:52:28,270 - Model - INFO - Training mean loss: 0.223395
2019-12-19 06:52:28,270 - Model - INFO - Training accuracy: 0.921679
2019-12-19 06:52:28,273 - Model - INFO - ---- EPOCH 852 EVALUATION ----
2019-12-19 06:52:36,872 - Model - INFO - Eval mean loss: 0.767947
2019-12-19 06:52:36,873 - Model - INFO - Eval accuracy: 0.774158
2019-12-19 06:52:36,873 - Model - INFO - **** Epoch 853 (853/1024) ****
2019-12-19 06:52:36,873 - Model - INFO - Learning rate:0.000240
2019-12-19 06:52:56,620 - Model - INFO - Training mean loss: 0.218175
2019-12-19 06:52:56,621 - Model - INFO - Training accuracy: 0.924660
2019-12-19 06:52:56,622 - Model - INFO - ---- EPOCH 853 EVALUATION ----
2019-12-19 06:53:05,143 - Model - INFO - Eval mean loss: 0.810830
2019-12-19 06:53:05,144 - Model - INFO - Eval accuracy: 0.783969
2019-12-19 06:53:05,144 - Model - INFO - **** Epoch 854 (854/1024) ****
2019-12-19 06:53:05,144 - Model - INFO - Learning rate:0.000240
2019-12-19 06:53:23,635 - Model - INFO - Training mean loss: 0.231950
2019-12-19 06:53:23,635 - Model - INFO - Training accuracy: 0.919079
2019-12-19 06:53:23,638 - Model - INFO - ---- EPOCH 854 EVALUATION ----
2019-12-19 06:53:32,316 - Model - INFO - Eval mean loss: 0.756799
2019-12-19 06:53:32,317 - Model - INFO - Eval accuracy: 0.783657
2019-12-19 06:53:32,317 - Model - INFO - **** Epoch 855 (855/1024) ****
2019-12-19 06:53:32,317 - Model - INFO - Learning rate:0.000240
2019-12-19 06:53:51,127 - Model - INFO - Training mean loss: 0.200929
2019-12-19 06:53:51,127 - Model - INFO - Training accuracy: 0.926401
2019-12-19 06:53:51,128 - Model - INFO - ---- EPOCH 855 EVALUATION ----
2019-12-19 06:53:59,629 - Model - INFO - Eval mean loss: 0.838890
2019-12-19 06:53:59,629 - Model - INFO - Eval accuracy: 0.775657
2019-12-19 06:53:59,629 - Model - INFO - **** Epoch 856 (856/1024) ****
2019-12-19 06:53:59,630 - Model - INFO - Learning rate:0.000240
2019-12-19 06:54:17,761 - Model - INFO - Training mean loss: 0.225177
2019-12-19 06:54:17,761 - Model - INFO - Training accuracy: 0.922991
2019-12-19 06:54:17,764 - Model - INFO - ---- EPOCH 856 EVALUATION ----
2019-12-19 06:54:26,315 - Model - INFO - Eval mean loss: 1.010574
2019-12-19 06:54:26,315 - Model - INFO - Eval accuracy: 0.755096
2019-12-19 06:54:26,315 - Model - INFO - ---- EPOCH 856 EVALUATION WHOLE SCENE----
2019-12-19 06:56:46,726 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 06:56:46,726 - Model - INFO - eval point avg class IoU: 0.210116
2019-12-19 06:56:46,726 - Model - INFO - eval whole scene point accuracy: 0.637869
2019-12-19 06:56:46,726 - Model - INFO - eval whole scene point avg class acc: 0.275724
2019-12-19 06:56:46,726 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.829 
class floor          weight: 0.157, IoU: 0.940 
class wall           weight: 0.278, IoU: 0.524 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.002 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.295 
class sofa           weight: 0.002, IoU: 0.003 
class bookcase       weight: 0.131, IoU: 0.022 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.116 

2019-12-19 06:56:46,726 - Model - INFO - Save model...
2019-12-19 06:56:46,726 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 06:56:46,750 - Model - INFO - Saving model....
2019-12-19 06:56:46,750 - Model - INFO - **** Epoch 857 (857/1024) ****
2019-12-19 06:56:46,750 - Model - INFO - Learning rate:0.000240
2019-12-19 06:57:05,596 - Model - INFO - Training mean loss: 0.223330
2019-12-19 06:57:05,597 - Model - INFO - Training accuracy: 0.924227
2019-12-19 06:57:05,599 - Model - INFO - ---- EPOCH 857 EVALUATION ----
2019-12-19 06:57:14,861 - Model - INFO - Eval mean loss: 0.990195
2019-12-19 06:57:14,861 - Model - INFO - Eval accuracy: 0.757777
2019-12-19 06:57:14,862 - Model - INFO - **** Epoch 858 (858/1024) ****
2019-12-19 06:57:14,862 - Model - INFO - Learning rate:0.000240
2019-12-19 06:57:33,158 - Model - INFO - Training mean loss: 0.218239
2019-12-19 06:57:33,158 - Model - INFO - Training accuracy: 0.922661
2019-12-19 06:57:33,160 - Model - INFO - ---- EPOCH 858 EVALUATION ----
2019-12-19 06:57:41,657 - Model - INFO - Eval mean loss: 0.868715
2019-12-19 06:57:41,657 - Model - INFO - Eval accuracy: 0.773168
2019-12-19 06:57:41,657 - Model - INFO - **** Epoch 859 (859/1024) ****
2019-12-19 06:57:41,658 - Model - INFO - Learning rate:0.000240
2019-12-19 06:58:01,501 - Model - INFO - Training mean loss: 0.216571
2019-12-19 06:58:01,501 - Model - INFO - Training accuracy: 0.925084
2019-12-19 06:58:01,504 - Model - INFO - ---- EPOCH 859 EVALUATION ----
2019-12-19 06:58:10,341 - Model - INFO - Eval mean loss: 0.667933
2019-12-19 06:58:10,342 - Model - INFO - Eval accuracy: 0.795205
2019-12-19 06:58:10,342 - Model - INFO - **** Epoch 860 (860/1024) ****
2019-12-19 06:58:10,342 - Model - INFO - Learning rate:0.000240
2019-12-19 06:58:28,979 - Model - INFO - Training mean loss: 0.233363
2019-12-19 06:58:28,979 - Model - INFO - Training accuracy: 0.918185
2019-12-19 06:58:28,981 - Model - INFO - ---- EPOCH 860 EVALUATION ----
2019-12-19 06:58:37,964 - Model - INFO - Eval mean loss: 0.899679
2019-12-19 06:58:37,964 - Model - INFO - Eval accuracy: 0.764738
2019-12-19 06:58:37,964 - Model - INFO - **** Epoch 861 (861/1024) ****
2019-12-19 06:58:37,964 - Model - INFO - Learning rate:0.000240
2019-12-19 06:58:56,481 - Model - INFO - Training mean loss: 0.229013
2019-12-19 06:58:56,481 - Model - INFO - Training accuracy: 0.918833
2019-12-19 06:58:56,483 - Model - INFO - ---- EPOCH 861 EVALUATION ----
2019-12-19 06:59:05,197 - Model - INFO - Eval mean loss: 0.902318
2019-12-19 06:59:05,197 - Model - INFO - Eval accuracy: 0.777283
2019-12-19 06:59:05,197 - Model - INFO - ---- EPOCH 861 EVALUATION WHOLE SCENE----
2019-12-19 07:01:26,589 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:01:26,589 - Model - INFO - eval point avg class IoU: 0.205473
2019-12-19 07:01:26,589 - Model - INFO - eval whole scene point accuracy: 0.632637
2019-12-19 07:01:26,590 - Model - INFO - eval whole scene point avg class acc: 0.272222
2019-12-19 07:01:26,590 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.835 
class floor          weight: 0.157, IoU: 0.900 
class wall           weight: 0.278, IoU: 0.530 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.002 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.274 
class sofa           weight: 0.002, IoU: 0.003 
class bookcase       weight: 0.131, IoU: 0.006 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.122 

2019-12-19 07:01:26,590 - Model - INFO - Save model...
2019-12-19 07:01:26,590 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:01:26,613 - Model - INFO - Saving model....
2019-12-19 07:01:26,613 - Model - INFO - **** Epoch 862 (862/1024) ****
2019-12-19 07:01:26,613 - Model - INFO - Learning rate:0.000240
2019-12-19 07:01:44,973 - Model - INFO - Training mean loss: 0.231079
2019-12-19 07:01:44,974 - Model - INFO - Training accuracy: 0.919587
2019-12-19 07:01:44,975 - Model - INFO - ---- EPOCH 862 EVALUATION ----
2019-12-19 07:01:53,938 - Model - INFO - Eval mean loss: 0.857548
2019-12-19 07:01:53,939 - Model - INFO - Eval accuracy: 0.771634
2019-12-19 07:01:53,939 - Model - INFO - **** Epoch 863 (863/1024) ****
2019-12-19 07:01:53,939 - Model - INFO - Learning rate:0.000240
2019-12-19 07:02:14,499 - Model - INFO - Training mean loss: 0.215558
2019-12-19 07:02:14,500 - Model - INFO - Training accuracy: 0.924902
2019-12-19 07:02:14,501 - Model - INFO - ---- EPOCH 863 EVALUATION ----
2019-12-19 07:02:22,967 - Model - INFO - Eval mean loss: 0.866303
2019-12-19 07:02:22,967 - Model - INFO - Eval accuracy: 0.783300
2019-12-19 07:02:22,967 - Model - INFO - **** Epoch 864 (864/1024) ****
2019-12-19 07:02:22,967 - Model - INFO - Learning rate:0.000240
2019-12-19 07:02:42,338 - Model - INFO - Training mean loss: 0.226938
2019-12-19 07:02:42,339 - Model - INFO - Training accuracy: 0.922400
2019-12-19 07:02:42,340 - Model - INFO - ---- EPOCH 864 EVALUATION ----
2019-12-19 07:02:51,179 - Model - INFO - Eval mean loss: 0.866305
2019-12-19 07:02:51,179 - Model - INFO - Eval accuracy: 0.783719
2019-12-19 07:02:51,179 - Model - INFO - **** Epoch 865 (865/1024) ****
2019-12-19 07:02:51,179 - Model - INFO - Learning rate:0.000240
2019-12-19 07:03:10,701 - Model - INFO - Training mean loss: 0.225053
2019-12-19 07:03:10,701 - Model - INFO - Training accuracy: 0.921012
2019-12-19 07:03:10,703 - Model - INFO - ---- EPOCH 865 EVALUATION ----
2019-12-19 07:03:19,423 - Model - INFO - Eval mean loss: 0.678366
2019-12-19 07:03:19,424 - Model - INFO - Eval accuracy: 0.791919
2019-12-19 07:03:19,424 - Model - INFO - **** Epoch 866 (866/1024) ****
2019-12-19 07:03:19,424 - Model - INFO - Learning rate:0.000240
2019-12-19 07:03:37,418 - Model - INFO - Training mean loss: 0.211021
2019-12-19 07:03:37,418 - Model - INFO - Training accuracy: 0.926093
2019-12-19 07:03:37,420 - Model - INFO - ---- EPOCH 866 EVALUATION ----
2019-12-19 07:03:46,268 - Model - INFO - Eval mean loss: 0.974581
2019-12-19 07:03:46,268 - Model - INFO - Eval accuracy: 0.760476
2019-12-19 07:03:46,268 - Model - INFO - ---- EPOCH 866 EVALUATION WHOLE SCENE----
2019-12-19 07:06:06,470 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:06:06,470 - Model - INFO - eval point avg class IoU: 0.206835
2019-12-19 07:06:06,470 - Model - INFO - eval whole scene point accuracy: 0.634281
2019-12-19 07:06:06,470 - Model - INFO - eval whole scene point avg class acc: 0.273368
2019-12-19 07:06:06,470 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.827 
class floor          weight: 0.157, IoU: 0.946 
class wall           weight: 0.278, IoU: 0.541 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.001 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.242 
class sofa           weight: 0.002, IoU: 0.023 
class bookcase       weight: 0.131, IoU: 0.003 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.106 

2019-12-19 07:06:06,470 - Model - INFO - Save model...
2019-12-19 07:06:06,470 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:06:06,493 - Model - INFO - Saving model....
2019-12-19 07:06:06,493 - Model - INFO - **** Epoch 867 (867/1024) ****
2019-12-19 07:06:06,493 - Model - INFO - Learning rate:0.000240
2019-12-19 07:06:25,442 - Model - INFO - Training mean loss: 0.230121
2019-12-19 07:06:25,442 - Model - INFO - Training accuracy: 0.920141
2019-12-19 07:06:25,444 - Model - INFO - ---- EPOCH 867 EVALUATION ----
2019-12-19 07:06:33,986 - Model - INFO - Eval mean loss: 0.993194
2019-12-19 07:06:33,987 - Model - INFO - Eval accuracy: 0.750899
2019-12-19 07:06:33,987 - Model - INFO - **** Epoch 868 (868/1024) ****
2019-12-19 07:06:33,987 - Model - INFO - Learning rate:0.000240
2019-12-19 07:06:52,523 - Model - INFO - Training mean loss: 0.199373
2019-12-19 07:06:52,524 - Model - INFO - Training accuracy: 0.929932
2019-12-19 07:06:52,527 - Model - INFO - ---- EPOCH 868 EVALUATION ----
2019-12-19 07:07:01,273 - Model - INFO - Eval mean loss: 0.975202
2019-12-19 07:07:01,273 - Model - INFO - Eval accuracy: 0.769981
2019-12-19 07:07:01,273 - Model - INFO - **** Epoch 869 (869/1024) ****
2019-12-19 07:07:01,273 - Model - INFO - Learning rate:0.000240
2019-12-19 07:07:19,177 - Model - INFO - Training mean loss: 0.241986
2019-12-19 07:07:19,177 - Model - INFO - Training accuracy: 0.915502
2019-12-19 07:07:19,180 - Model - INFO - ---- EPOCH 869 EVALUATION ----
2019-12-19 07:07:27,838 - Model - INFO - Eval mean loss: 0.914579
2019-12-19 07:07:27,838 - Model - INFO - Eval accuracy: 0.772268
2019-12-19 07:07:27,838 - Model - INFO - **** Epoch 870 (870/1024) ****
2019-12-19 07:07:27,838 - Model - INFO - Learning rate:0.000240
2019-12-19 07:07:46,784 - Model - INFO - Training mean loss: 0.232532
2019-12-19 07:07:46,784 - Model - INFO - Training accuracy: 0.917889
2019-12-19 07:07:46,785 - Model - INFO - ---- EPOCH 870 EVALUATION ----
2019-12-19 07:07:55,269 - Model - INFO - Eval mean loss: 1.016532
2019-12-19 07:07:55,269 - Model - INFO - Eval accuracy: 0.755090
2019-12-19 07:07:55,269 - Model - INFO - **** Epoch 871 (871/1024) ****
2019-12-19 07:07:55,269 - Model - INFO - Learning rate:0.000240
2019-12-19 07:08:13,666 - Model - INFO - Training mean loss: 0.231898
2019-12-19 07:08:13,666 - Model - INFO - Training accuracy: 0.919431
2019-12-19 07:08:13,668 - Model - INFO - ---- EPOCH 871 EVALUATION ----
2019-12-19 07:08:22,172 - Model - INFO - Eval mean loss: 0.909639
2019-12-19 07:08:22,173 - Model - INFO - Eval accuracy: 0.768756
2019-12-19 07:08:22,173 - Model - INFO - ---- EPOCH 871 EVALUATION WHOLE SCENE----
2019-12-19 07:10:42,812 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:10:42,812 - Model - INFO - eval point avg class IoU: 0.198448
2019-12-19 07:10:42,812 - Model - INFO - eval whole scene point accuracy: 0.627054
2019-12-19 07:10:42,812 - Model - INFO - eval whole scene point avg class acc: 0.282236
2019-12-19 07:10:42,813 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.821 
class floor          weight: 0.157, IoU: 0.945 
class wall           weight: 0.278, IoU: 0.557 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.003 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.080 
class sofa           weight: 0.002, IoU: 0.033 
class bookcase       weight: 0.131, IoU: 0.011 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.130 

2019-12-19 07:10:42,813 - Model - INFO - Save model...
2019-12-19 07:10:42,813 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:10:42,838 - Model - INFO - Saving model....
2019-12-19 07:10:42,838 - Model - INFO - **** Epoch 872 (872/1024) ****
2019-12-19 07:10:42,838 - Model - INFO - Learning rate:0.000240
2019-12-19 07:11:01,992 - Model - INFO - Training mean loss: 0.226448
2019-12-19 07:11:01,992 - Model - INFO - Training accuracy: 0.918575
2019-12-19 07:11:01,993 - Model - INFO - ---- EPOCH 872 EVALUATION ----
2019-12-19 07:11:10,475 - Model - INFO - Eval mean loss: 0.889528
2019-12-19 07:11:10,475 - Model - INFO - Eval accuracy: 0.749402
2019-12-19 07:11:10,475 - Model - INFO - **** Epoch 873 (873/1024) ****
2019-12-19 07:11:10,475 - Model - INFO - Learning rate:0.000240
2019-12-19 07:11:29,115 - Model - INFO - Training mean loss: 0.212773
2019-12-19 07:11:29,116 - Model - INFO - Training accuracy: 0.925695
2019-12-19 07:11:29,117 - Model - INFO - ---- EPOCH 873 EVALUATION ----
2019-12-19 07:11:37,627 - Model - INFO - Eval mean loss: 0.911859
2019-12-19 07:11:37,627 - Model - INFO - Eval accuracy: 0.766339
2019-12-19 07:11:37,627 - Model - INFO - **** Epoch 874 (874/1024) ****
2019-12-19 07:11:37,627 - Model - INFO - Learning rate:0.000240
2019-12-19 07:11:56,514 - Model - INFO - Training mean loss: 0.225773
2019-12-19 07:11:56,514 - Model - INFO - Training accuracy: 0.923008
2019-12-19 07:11:56,517 - Model - INFO - ---- EPOCH 874 EVALUATION ----
2019-12-19 07:12:05,171 - Model - INFO - Eval mean loss: 0.846227
2019-12-19 07:12:05,171 - Model - INFO - Eval accuracy: 0.768061
2019-12-19 07:12:05,171 - Model - INFO - **** Epoch 875 (875/1024) ****
2019-12-19 07:12:05,171 - Model - INFO - Learning rate:0.000240
2019-12-19 07:12:23,037 - Model - INFO - Training mean loss: 0.233283
2019-12-19 07:12:23,037 - Model - INFO - Training accuracy: 0.919791
2019-12-19 07:12:23,038 - Model - INFO - ---- EPOCH 875 EVALUATION ----
2019-12-19 07:12:31,402 - Model - INFO - Eval mean loss: 0.661924
2019-12-19 07:12:31,402 - Model - INFO - Eval accuracy: 0.785453
2019-12-19 07:12:31,403 - Model - INFO - **** Epoch 876 (876/1024) ****
2019-12-19 07:12:31,403 - Model - INFO - Learning rate:0.000240
2019-12-19 07:12:49,557 - Model - INFO - Training mean loss: 0.219357
2019-12-19 07:12:49,558 - Model - INFO - Training accuracy: 0.925968
2019-12-19 07:12:49,559 - Model - INFO - ---- EPOCH 876 EVALUATION ----
2019-12-19 07:12:58,466 - Model - INFO - Eval mean loss: 0.822954
2019-12-19 07:12:58,467 - Model - INFO - Eval accuracy: 0.789842
2019-12-19 07:12:58,467 - Model - INFO - ---- EPOCH 876 EVALUATION WHOLE SCENE----
2019-12-19 07:15:18,903 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:15:18,903 - Model - INFO - eval point avg class IoU: 0.203335
2019-12-19 07:15:18,903 - Model - INFO - eval whole scene point accuracy: 0.578508
2019-12-19 07:15:18,903 - Model - INFO - eval whole scene point avg class acc: 0.269105
2019-12-19 07:15:18,903 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.833 
class floor          weight: 0.157, IoU: 0.926 
class wall           weight: 0.278, IoU: 0.472 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.011 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.277 
class sofa           weight: 0.002, IoU: 0.012 
class bookcase       weight: 0.131, IoU: 0.006 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.108 

2019-12-19 07:15:18,903 - Model - INFO - Save model...
2019-12-19 07:15:18,903 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:15:18,927 - Model - INFO - Saving model....
2019-12-19 07:15:18,927 - Model - INFO - **** Epoch 877 (877/1024) ****
2019-12-19 07:15:18,927 - Model - INFO - Learning rate:0.000240
2019-12-19 07:15:36,411 - Model - INFO - Training mean loss: 0.217947
2019-12-19 07:15:36,411 - Model - INFO - Training accuracy: 0.924182
2019-12-19 07:15:36,413 - Model - INFO - ---- EPOCH 877 EVALUATION ----
2019-12-19 07:15:45,255 - Model - INFO - Eval mean loss: 0.814147
2019-12-19 07:15:45,255 - Model - INFO - Eval accuracy: 0.768049
2019-12-19 07:15:45,255 - Model - INFO - **** Epoch 878 (878/1024) ****
2019-12-19 07:15:45,255 - Model - INFO - Learning rate:0.000240
2019-12-19 07:16:03,730 - Model - INFO - Training mean loss: 0.208013
2019-12-19 07:16:03,730 - Model - INFO - Training accuracy: 0.926143
2019-12-19 07:16:03,733 - Model - INFO - ---- EPOCH 878 EVALUATION ----
2019-12-19 07:16:12,652 - Model - INFO - Eval mean loss: 0.884999
2019-12-19 07:16:12,653 - Model - INFO - Eval accuracy: 0.771656
2019-12-19 07:16:12,653 - Model - INFO - **** Epoch 879 (879/1024) ****
2019-12-19 07:16:12,653 - Model - INFO - Learning rate:0.000240
2019-12-19 07:16:30,903 - Model - INFO - Training mean loss: 0.222891
2019-12-19 07:16:30,903 - Model - INFO - Training accuracy: 0.922101
2019-12-19 07:16:30,906 - Model - INFO - ---- EPOCH 879 EVALUATION ----
2019-12-19 07:16:39,666 - Model - INFO - Eval mean loss: 0.865973
2019-12-19 07:16:39,666 - Model - INFO - Eval accuracy: 0.766403
2019-12-19 07:16:39,667 - Model - INFO - **** Epoch 880 (880/1024) ****
2019-12-19 07:16:39,667 - Model - INFO - Learning rate:0.000240
2019-12-19 07:16:58,300 - Model - INFO - Training mean loss: 0.219492
2019-12-19 07:16:58,300 - Model - INFO - Training accuracy: 0.924291
2019-12-19 07:16:58,303 - Model - INFO - ---- EPOCH 880 EVALUATION ----
2019-12-19 07:17:07,357 - Model - INFO - Eval mean loss: 0.917639
2019-12-19 07:17:07,357 - Model - INFO - Eval accuracy: 0.779076
2019-12-19 07:17:07,357 - Model - INFO - **** Epoch 881 (881/1024) ****
2019-12-19 07:17:07,358 - Model - INFO - Learning rate:0.000240
2019-12-19 07:17:25,765 - Model - INFO - Training mean loss: 0.226812
2019-12-19 07:17:25,766 - Model - INFO - Training accuracy: 0.921869
2019-12-19 07:17:25,767 - Model - INFO - ---- EPOCH 881 EVALUATION ----
2019-12-19 07:17:34,365 - Model - INFO - Eval mean loss: 0.895168
2019-12-19 07:17:34,365 - Model - INFO - Eval accuracy: 0.788252
2019-12-19 07:17:34,365 - Model - INFO - ---- EPOCH 881 EVALUATION WHOLE SCENE----
2019-12-19 07:19:54,583 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:19:54,583 - Model - INFO - eval point avg class IoU: 0.205203
2019-12-19 07:19:54,583 - Model - INFO - eval whole scene point accuracy: 0.578294
2019-12-19 07:19:54,583 - Model - INFO - eval whole scene point avg class acc: 0.267116
2019-12-19 07:19:54,583 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.828 
class floor          weight: 0.157, IoU: 0.934 
class wall           weight: 0.278, IoU: 0.490 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.010 
class window         weight: 0.026, IoU: 0.001 
class door           weight: 0.036, IoU: 0.012 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.263 
class sofa           weight: 0.002, IoU: 0.010 
class bookcase       weight: 0.131, IoU: 0.007 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.112 

2019-12-19 07:19:54,583 - Model - INFO - Save model...
2019-12-19 07:19:54,584 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:19:54,607 - Model - INFO - Saving model....
2019-12-19 07:19:54,607 - Model - INFO - **** Epoch 882 (882/1024) ****
2019-12-19 07:19:54,607 - Model - INFO - Learning rate:0.000240
2019-12-19 07:20:13,705 - Model - INFO - Training mean loss: 0.230976
2019-12-19 07:20:13,705 - Model - INFO - Training accuracy: 0.920436
2019-12-19 07:20:13,706 - Model - INFO - ---- EPOCH 882 EVALUATION ----
2019-12-19 07:20:22,188 - Model - INFO - Eval mean loss: 0.940242
2019-12-19 07:20:22,189 - Model - INFO - Eval accuracy: 0.767559
2019-12-19 07:20:22,189 - Model - INFO - **** Epoch 883 (883/1024) ****
2019-12-19 07:20:22,189 - Model - INFO - Learning rate:0.000240
2019-12-19 07:20:42,158 - Model - INFO - Training mean loss: 0.213371
2019-12-19 07:20:42,158 - Model - INFO - Training accuracy: 0.923449
2019-12-19 07:20:42,160 - Model - INFO - ---- EPOCH 883 EVALUATION ----
2019-12-19 07:20:50,832 - Model - INFO - Eval mean loss: 0.803989
2019-12-19 07:20:50,833 - Model - INFO - Eval accuracy: 0.788562
2019-12-19 07:20:50,833 - Model - INFO - **** Epoch 884 (884/1024) ****
2019-12-19 07:20:50,833 - Model - INFO - Learning rate:0.000240
2019-12-19 07:21:09,400 - Model - INFO - Training mean loss: 0.221829
2019-12-19 07:21:09,401 - Model - INFO - Training accuracy: 0.923063
2019-12-19 07:21:09,403 - Model - INFO - ---- EPOCH 884 EVALUATION ----
2019-12-19 07:21:18,067 - Model - INFO - Eval mean loss: 0.747258
2019-12-19 07:21:18,068 - Model - INFO - Eval accuracy: 0.782027
2019-12-19 07:21:18,068 - Model - INFO - **** Epoch 885 (885/1024) ****
2019-12-19 07:21:18,068 - Model - INFO - Learning rate:0.000240
2019-12-19 07:21:37,827 - Model - INFO - Training mean loss: 0.211600
2019-12-19 07:21:37,827 - Model - INFO - Training accuracy: 0.925466
2019-12-19 07:21:37,830 - Model - INFO - ---- EPOCH 885 EVALUATION ----
2019-12-19 07:21:46,557 - Model - INFO - Eval mean loss: 0.830190
2019-12-19 07:21:46,557 - Model - INFO - Eval accuracy: 0.776415
2019-12-19 07:21:46,558 - Model - INFO - **** Epoch 886 (886/1024) ****
2019-12-19 07:21:46,558 - Model - INFO - Learning rate:0.000240
2019-12-19 07:22:05,186 - Model - INFO - Training mean loss: 0.223234
2019-12-19 07:22:05,186 - Model - INFO - Training accuracy: 0.922023
2019-12-19 07:22:05,188 - Model - INFO - ---- EPOCH 886 EVALUATION ----
2019-12-19 07:22:13,691 - Model - INFO - Eval mean loss: 1.002751
2019-12-19 07:22:13,691 - Model - INFO - Eval accuracy: 0.763307
2019-12-19 07:22:13,691 - Model - INFO - ---- EPOCH 886 EVALUATION WHOLE SCENE----
2019-12-19 07:24:34,589 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:24:34,589 - Model - INFO - eval point avg class IoU: 0.204668
2019-12-19 07:24:34,589 - Model - INFO - eval whole scene point accuracy: 0.587947
2019-12-19 07:24:34,589 - Model - INFO - eval whole scene point avg class acc: 0.259578
2019-12-19 07:24:34,589 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.844 
class floor          weight: 0.157, IoU: 0.943 
class wall           weight: 0.278, IoU: 0.500 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.002 
class window         weight: 0.026, IoU: 0.002 
class door           weight: 0.036, IoU: 0.011 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.217 
class sofa           weight: 0.002, IoU: 0.006 
class bookcase       weight: 0.130, IoU: 0.009 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.127 

2019-12-19 07:24:34,589 - Model - INFO - Save model...
2019-12-19 07:24:34,589 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:24:34,613 - Model - INFO - Saving model....
2019-12-19 07:24:34,613 - Model - INFO - **** Epoch 887 (887/1024) ****
2019-12-19 07:24:34,613 - Model - INFO - Learning rate:0.000240
2019-12-19 07:24:52,894 - Model - INFO - Training mean loss: 0.223163
2019-12-19 07:24:52,894 - Model - INFO - Training accuracy: 0.921883
2019-12-19 07:24:52,897 - Model - INFO - ---- EPOCH 887 EVALUATION ----
2019-12-19 07:25:01,756 - Model - INFO - Eval mean loss: 0.889968
2019-12-19 07:25:01,757 - Model - INFO - Eval accuracy: 0.782939
2019-12-19 07:25:01,757 - Model - INFO - **** Epoch 888 (888/1024) ****
2019-12-19 07:25:01,757 - Model - INFO - Learning rate:0.000240
2019-12-19 07:25:20,833 - Model - INFO - Training mean loss: 0.217951
2019-12-19 07:25:20,834 - Model - INFO - Training accuracy: 0.922807
2019-12-19 07:25:20,835 - Model - INFO - ---- EPOCH 888 EVALUATION ----
2019-12-19 07:25:29,527 - Model - INFO - Eval mean loss: 0.921023
2019-12-19 07:25:29,527 - Model - INFO - Eval accuracy: 0.756887
2019-12-19 07:25:29,527 - Model - INFO - **** Epoch 889 (889/1024) ****
2019-12-19 07:25:29,527 - Model - INFO - Learning rate:0.000240
2019-12-19 07:25:48,185 - Model - INFO - Training mean loss: 0.230991
2019-12-19 07:25:48,185 - Model - INFO - Training accuracy: 0.920141
2019-12-19 07:25:48,188 - Model - INFO - ---- EPOCH 889 EVALUATION ----
2019-12-19 07:25:56,824 - Model - INFO - Eval mean loss: 0.843069
2019-12-19 07:25:56,824 - Model - INFO - Eval accuracy: 0.767814
2019-12-19 07:25:56,824 - Model - INFO - **** Epoch 890 (890/1024) ****
2019-12-19 07:25:56,824 - Model - INFO - Learning rate:0.000240
2019-12-19 07:26:16,322 - Model - INFO - Training mean loss: 0.214933
2019-12-19 07:26:16,322 - Model - INFO - Training accuracy: 0.927260
2019-12-19 07:26:16,323 - Model - INFO - ---- EPOCH 890 EVALUATION ----
2019-12-19 07:26:24,738 - Model - INFO - Eval mean loss: 0.786901
2019-12-19 07:26:24,738 - Model - INFO - Eval accuracy: 0.790405
2019-12-19 07:26:24,739 - Model - INFO - **** Epoch 891 (891/1024) ****
2019-12-19 07:26:24,739 - Model - INFO - Learning rate:0.000240
2019-12-19 07:26:43,702 - Model - INFO - Training mean loss: 0.222364
2019-12-19 07:26:43,702 - Model - INFO - Training accuracy: 0.921247
2019-12-19 07:26:43,705 - Model - INFO - ---- EPOCH 891 EVALUATION ----
2019-12-19 07:26:52,556 - Model - INFO - Eval mean loss: 0.880822
2019-12-19 07:26:52,557 - Model - INFO - Eval accuracy: 0.774409
2019-12-19 07:26:52,557 - Model - INFO - ---- EPOCH 891 EVALUATION WHOLE SCENE----
2019-12-19 07:29:13,235 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:29:13,235 - Model - INFO - eval point avg class IoU: 0.208139
2019-12-19 07:29:13,235 - Model - INFO - eval whole scene point accuracy: 0.625994
2019-12-19 07:29:13,235 - Model - INFO - eval whole scene point avg class acc: 0.259051
2019-12-19 07:29:13,235 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.865 
class floor          weight: 0.157, IoU: 0.943 
class wall           weight: 0.278, IoU: 0.539 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.013 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.194 
class sofa           weight: 0.002, IoU: 0.000 
class bookcase       weight: 0.131, IoU: 0.029 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.123 

2019-12-19 07:29:13,235 - Model - INFO - Save model...
2019-12-19 07:29:13,235 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:29:13,258 - Model - INFO - Saving model....
2019-12-19 07:29:13,258 - Model - INFO - **** Epoch 892 (892/1024) ****
2019-12-19 07:29:13,258 - Model - INFO - Learning rate:0.000240
2019-12-19 07:29:31,917 - Model - INFO - Training mean loss: 0.226273
2019-12-19 07:29:31,917 - Model - INFO - Training accuracy: 0.923948
2019-12-19 07:29:31,919 - Model - INFO - ---- EPOCH 892 EVALUATION ----
2019-12-19 07:29:40,517 - Model - INFO - Eval mean loss: 0.989997
2019-12-19 07:29:40,517 - Model - INFO - Eval accuracy: 0.770387
2019-12-19 07:29:40,518 - Model - INFO - **** Epoch 893 (893/1024) ****
2019-12-19 07:29:40,518 - Model - INFO - Learning rate:0.000240
2019-12-19 07:30:00,768 - Model - INFO - Training mean loss: 0.220030
2019-12-19 07:30:00,768 - Model - INFO - Training accuracy: 0.921381
2019-12-19 07:30:00,771 - Model - INFO - ---- EPOCH 893 EVALUATION ----
2019-12-19 07:30:09,394 - Model - INFO - Eval mean loss: 1.074627
2019-12-19 07:30:09,394 - Model - INFO - Eval accuracy: 0.759616
2019-12-19 07:30:09,395 - Model - INFO - **** Epoch 894 (894/1024) ****
2019-12-19 07:30:09,395 - Model - INFO - Learning rate:0.000240
2019-12-19 07:30:28,310 - Model - INFO - Training mean loss: 0.236840
2019-12-19 07:30:28,310 - Model - INFO - Training accuracy: 0.917418
2019-12-19 07:30:28,313 - Model - INFO - ---- EPOCH 894 EVALUATION ----
2019-12-19 07:30:37,020 - Model - INFO - Eval mean loss: 0.602332
2019-12-19 07:30:37,020 - Model - INFO - Eval accuracy: 0.815125
2019-12-19 07:30:37,020 - Model - INFO - **** Epoch 895 (895/1024) ****
2019-12-19 07:30:37,020 - Model - INFO - Learning rate:0.000240
2019-12-19 07:30:55,674 - Model - INFO - Training mean loss: 0.207938
2019-12-19 07:30:55,674 - Model - INFO - Training accuracy: 0.928020
2019-12-19 07:30:55,676 - Model - INFO - ---- EPOCH 895 EVALUATION ----
2019-12-19 07:31:04,217 - Model - INFO - Eval mean loss: 0.752770
2019-12-19 07:31:04,217 - Model - INFO - Eval accuracy: 0.799523
2019-12-19 07:31:04,217 - Model - INFO - **** Epoch 896 (896/1024) ****
2019-12-19 07:31:04,218 - Model - INFO - Learning rate:0.000240
2019-12-19 07:31:22,036 - Model - INFO - Training mean loss: 0.207480
2019-12-19 07:31:22,036 - Model - INFO - Training accuracy: 0.926663
2019-12-19 07:31:22,038 - Model - INFO - ---- EPOCH 896 EVALUATION ----
2019-12-19 07:31:31,097 - Model - INFO - Eval mean loss: 1.023195
2019-12-19 07:31:31,097 - Model - INFO - Eval accuracy: 0.764294
2019-12-19 07:31:31,097 - Model - INFO - ---- EPOCH 896 EVALUATION WHOLE SCENE----
2019-12-19 07:33:55,825 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:33:55,825 - Model - INFO - eval point avg class IoU: 0.199693
2019-12-19 07:33:55,825 - Model - INFO - eval whole scene point accuracy: 0.603980
2019-12-19 07:33:55,825 - Model - INFO - eval whole scene point avg class acc: 0.259946
2019-12-19 07:33:55,825 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.844 
class floor          weight: 0.157, IoU: 0.895 
class wall           weight: 0.278, IoU: 0.481 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.020 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.208 
class sofa           weight: 0.002, IoU: 0.008 
class bookcase       weight: 0.130, IoU: 0.030 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.109 

2019-12-19 07:33:55,825 - Model - INFO - Save model...
2019-12-19 07:33:55,825 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:33:55,849 - Model - INFO - Saving model....
2019-12-19 07:33:55,849 - Model - INFO - **** Epoch 897 (897/1024) ****
2019-12-19 07:33:55,849 - Model - INFO - Learning rate:0.000240
2019-12-19 07:34:14,189 - Model - INFO - Training mean loss: 0.216467
2019-12-19 07:34:14,189 - Model - INFO - Training accuracy: 0.925654
2019-12-19 07:34:14,191 - Model - INFO - ---- EPOCH 897 EVALUATION ----
2019-12-19 07:34:22,684 - Model - INFO - Eval mean loss: 1.058317
2019-12-19 07:34:22,684 - Model - INFO - Eval accuracy: 0.758636
2019-12-19 07:34:22,685 - Model - INFO - **** Epoch 898 (898/1024) ****
2019-12-19 07:34:22,685 - Model - INFO - Learning rate:0.000240
2019-12-19 07:34:43,081 - Model - INFO - Training mean loss: 0.240674
2019-12-19 07:34:43,081 - Model - INFO - Training accuracy: 0.913166
2019-12-19 07:34:43,084 - Model - INFO - ---- EPOCH 898 EVALUATION ----
2019-12-19 07:34:51,816 - Model - INFO - Eval mean loss: 0.728541
2019-12-19 07:34:51,816 - Model - INFO - Eval accuracy: 0.769791
2019-12-19 07:34:51,816 - Model - INFO - **** Epoch 899 (899/1024) ****
2019-12-19 07:34:51,816 - Model - INFO - Learning rate:0.000240
2019-12-19 07:35:10,019 - Model - INFO - Training mean loss: 0.225869
2019-12-19 07:35:10,020 - Model - INFO - Training accuracy: 0.922358
2019-12-19 07:35:10,022 - Model - INFO - ---- EPOCH 899 EVALUATION ----
2019-12-19 07:35:18,615 - Model - INFO - Eval mean loss: 0.650164
2019-12-19 07:35:18,615 - Model - INFO - Eval accuracy: 0.793320
2019-12-19 07:35:18,616 - Model - INFO - **** Epoch 900 (900/1024) ****
2019-12-19 07:35:18,616 - Model - INFO - Learning rate:0.000240
2019-12-19 07:35:36,665 - Model - INFO - Training mean loss: 0.206867
2019-12-19 07:35:36,665 - Model - INFO - Training accuracy: 0.929010
2019-12-19 07:35:36,667 - Model - INFO - ---- EPOCH 900 EVALUATION ----
2019-12-19 07:35:45,281 - Model - INFO - Eval mean loss: 0.890829
2019-12-19 07:35:45,281 - Model - INFO - Eval accuracy: 0.745950
2019-12-19 07:35:45,281 - Model - INFO - **** Epoch 901 (901/1024) ****
2019-12-19 07:35:45,281 - Model - INFO - Learning rate:0.000240
2019-12-19 07:36:03,348 - Model - INFO - Training mean loss: 0.223613
2019-12-19 07:36:03,349 - Model - INFO - Training accuracy: 0.921906
2019-12-19 07:36:03,350 - Model - INFO - ---- EPOCH 901 EVALUATION ----
2019-12-19 07:36:12,005 - Model - INFO - Eval mean loss: 0.983860
2019-12-19 07:36:12,005 - Model - INFO - Eval accuracy: 0.768890
2019-12-19 07:36:12,005 - Model - INFO - ---- EPOCH 901 EVALUATION WHOLE SCENE----
2019-12-19 07:38:32,518 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:38:32,518 - Model - INFO - eval point avg class IoU: 0.204524
2019-12-19 07:38:32,518 - Model - INFO - eval whole scene point accuracy: 0.616374
2019-12-19 07:38:32,518 - Model - INFO - eval whole scene point avg class acc: 0.278756
2019-12-19 07:38:32,518 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.829 
class floor          weight: 0.157, IoU: 0.907 
class wall           weight: 0.278, IoU: 0.501 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.013 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.304 
class sofa           weight: 0.002, IoU: 0.014 
class bookcase       weight: 0.131, IoU: 0.012 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.080 

2019-12-19 07:38:32,518 - Model - INFO - Save model...
2019-12-19 07:38:32,518 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:38:32,541 - Model - INFO - Saving model....
2019-12-19 07:38:32,542 - Model - INFO - **** Epoch 902 (902/1024) ****
2019-12-19 07:38:32,542 - Model - INFO - Learning rate:0.000240
2019-12-19 07:38:53,305 - Model - INFO - Training mean loss: 0.212776
2019-12-19 07:38:53,306 - Model - INFO - Training accuracy: 0.927994
2019-12-19 07:38:53,308 - Model - INFO - ---- EPOCH 902 EVALUATION ----
2019-12-19 07:39:01,984 - Model - INFO - Eval mean loss: 0.896717
2019-12-19 07:39:01,984 - Model - INFO - Eval accuracy: 0.762444
2019-12-19 07:39:01,984 - Model - INFO - **** Epoch 903 (903/1024) ****
2019-12-19 07:39:01,984 - Model - INFO - Learning rate:0.000240
2019-12-19 07:39:19,879 - Model - INFO - Training mean loss: 0.211093
2019-12-19 07:39:19,879 - Model - INFO - Training accuracy: 0.926685
2019-12-19 07:39:19,881 - Model - INFO - ---- EPOCH 903 EVALUATION ----
2019-12-19 07:39:28,465 - Model - INFO - Eval mean loss: 0.986152
2019-12-19 07:39:28,465 - Model - INFO - Eval accuracy: 0.760881
2019-12-19 07:39:28,465 - Model - INFO - **** Epoch 904 (904/1024) ****
2019-12-19 07:39:28,465 - Model - INFO - Learning rate:0.000240
2019-12-19 07:39:47,652 - Model - INFO - Training mean loss: 0.208502
2019-12-19 07:39:47,652 - Model - INFO - Training accuracy: 0.928715
2019-12-19 07:39:47,655 - Model - INFO - ---- EPOCH 904 EVALUATION ----
2019-12-19 07:39:56,332 - Model - INFO - Eval mean loss: 0.971151
2019-12-19 07:39:56,333 - Model - INFO - Eval accuracy: 0.781923
2019-12-19 07:39:56,333 - Model - INFO - **** Epoch 905 (905/1024) ****
2019-12-19 07:39:56,333 - Model - INFO - Learning rate:0.000240
2019-12-19 07:40:15,717 - Model - INFO - Training mean loss: 0.205081
2019-12-19 07:40:15,718 - Model - INFO - Training accuracy: 0.928694
2019-12-19 07:40:15,720 - Model - INFO - ---- EPOCH 905 EVALUATION ----
2019-12-19 07:40:24,448 - Model - INFO - Eval mean loss: 0.962357
2019-12-19 07:40:24,448 - Model - INFO - Eval accuracy: 0.758918
2019-12-19 07:40:24,448 - Model - INFO - **** Epoch 906 (906/1024) ****
2019-12-19 07:40:24,449 - Model - INFO - Learning rate:0.000240
2019-12-19 07:40:43,141 - Model - INFO - Training mean loss: 0.230953
2019-12-19 07:40:43,141 - Model - INFO - Training accuracy: 0.917585
2019-12-19 07:40:43,143 - Model - INFO - ---- EPOCH 906 EVALUATION ----
2019-12-19 07:40:51,864 - Model - INFO - Eval mean loss: 1.000102
2019-12-19 07:40:51,864 - Model - INFO - Eval accuracy: 0.761593
2019-12-19 07:40:51,864 - Model - INFO - ---- EPOCH 906 EVALUATION WHOLE SCENE----
2019-12-19 07:43:12,256 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:43:12,257 - Model - INFO - eval point avg class IoU: 0.193979
2019-12-19 07:43:12,257 - Model - INFO - eval whole scene point accuracy: 0.547436
2019-12-19 07:43:12,257 - Model - INFO - eval whole scene point avg class acc: 0.251351
2019-12-19 07:43:12,257 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.828 
class floor          weight: 0.157, IoU: 0.897 
class wall           weight: 0.278, IoU: 0.384 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.024 
class table          weight: 0.038, IoU: 0.006 
class chair          weight: 0.020, IoU: 0.225 
class sofa           weight: 0.002, IoU: 0.010 
class bookcase       weight: 0.130, IoU: 0.046 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.103 

2019-12-19 07:43:12,257 - Model - INFO - Save model...
2019-12-19 07:43:12,257 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:43:12,281 - Model - INFO - Saving model....
2019-12-19 07:43:12,282 - Model - INFO - **** Epoch 907 (907/1024) ****
2019-12-19 07:43:12,282 - Model - INFO - Learning rate:0.000240
2019-12-19 07:43:30,223 - Model - INFO - Training mean loss: 0.211641
2019-12-19 07:43:30,223 - Model - INFO - Training accuracy: 0.923416
2019-12-19 07:43:30,225 - Model - INFO - ---- EPOCH 907 EVALUATION ----
2019-12-19 07:43:38,674 - Model - INFO - Eval mean loss: 0.982075
2019-12-19 07:43:38,674 - Model - INFO - Eval accuracy: 0.763402
2019-12-19 07:43:38,674 - Model - INFO - **** Epoch 908 (908/1024) ****
2019-12-19 07:43:38,674 - Model - INFO - Learning rate:0.000240
2019-12-19 07:43:57,123 - Model - INFO - Training mean loss: 0.229523
2019-12-19 07:43:57,123 - Model - INFO - Training accuracy: 0.922735
2019-12-19 07:43:57,125 - Model - INFO - ---- EPOCH 908 EVALUATION ----
2019-12-19 07:44:05,797 - Model - INFO - Eval mean loss: 0.935309
2019-12-19 07:44:05,798 - Model - INFO - Eval accuracy: 0.758291
2019-12-19 07:44:05,798 - Model - INFO - **** Epoch 909 (909/1024) ****
2019-12-19 07:44:05,798 - Model - INFO - Learning rate:0.000240
2019-12-19 07:44:24,332 - Model - INFO - Training mean loss: 0.211082
2019-12-19 07:44:24,332 - Model - INFO - Training accuracy: 0.924599
2019-12-19 07:44:24,335 - Model - INFO - ---- EPOCH 909 EVALUATION ----
2019-12-19 07:44:32,916 - Model - INFO - Eval mean loss: 0.894996
2019-12-19 07:44:32,916 - Model - INFO - Eval accuracy: 0.768765
2019-12-19 07:44:32,917 - Model - INFO - **** Epoch 910 (910/1024) ****
2019-12-19 07:44:32,917 - Model - INFO - Learning rate:0.000240
2019-12-19 07:44:53,119 - Model - INFO - Training mean loss: 0.212713
2019-12-19 07:44:53,119 - Model - INFO - Training accuracy: 0.926965
2019-12-19 07:44:53,121 - Model - INFO - ---- EPOCH 910 EVALUATION ----
2019-12-19 07:45:01,784 - Model - INFO - Eval mean loss: 0.994040
2019-12-19 07:45:01,784 - Model - INFO - Eval accuracy: 0.776279
2019-12-19 07:45:01,784 - Model - INFO - **** Epoch 911 (911/1024) ****
2019-12-19 07:45:01,785 - Model - INFO - Learning rate:0.000240
2019-12-19 07:45:20,062 - Model - INFO - Training mean loss: 0.190953
2019-12-19 07:45:20,063 - Model - INFO - Training accuracy: 0.933259
2019-12-19 07:45:20,065 - Model - INFO - ---- EPOCH 911 EVALUATION ----
2019-12-19 07:45:28,737 - Model - INFO - Eval mean loss: 0.893014
2019-12-19 07:45:28,738 - Model - INFO - Eval accuracy: 0.780182
2019-12-19 07:45:28,738 - Model - INFO - ---- EPOCH 911 EVALUATION WHOLE SCENE----
2019-12-19 07:47:49,251 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:47:49,251 - Model - INFO - eval point avg class IoU: 0.190369
2019-12-19 07:47:49,251 - Model - INFO - eval whole scene point accuracy: 0.640429
2019-12-19 07:47:49,251 - Model - INFO - eval whole scene point avg class acc: 0.247481
2019-12-19 07:47:49,251 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.811 
class floor          weight: 0.157, IoU: 0.946 
class wall           weight: 0.278, IoU: 0.531 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.026 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.020 
class sofa           weight: 0.002, IoU: 0.009 
class bookcase       weight: 0.130, IoU: 0.010 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.123 

2019-12-19 07:47:49,251 - Model - INFO - Save model...
2019-12-19 07:47:49,251 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:47:49,275 - Model - INFO - Saving model....
2019-12-19 07:47:49,275 - Model - INFO - **** Epoch 912 (912/1024) ****
2019-12-19 07:47:49,275 - Model - INFO - Learning rate:0.000240
2019-12-19 07:48:07,635 - Model - INFO - Training mean loss: 0.215903
2019-12-19 07:48:07,635 - Model - INFO - Training accuracy: 0.926851
2019-12-19 07:48:07,637 - Model - INFO - ---- EPOCH 912 EVALUATION ----
2019-12-19 07:48:16,205 - Model - INFO - Eval mean loss: 0.931907
2019-12-19 07:48:16,205 - Model - INFO - Eval accuracy: 0.766305
2019-12-19 07:48:16,205 - Model - INFO - **** Epoch 913 (913/1024) ****
2019-12-19 07:48:16,205 - Model - INFO - Learning rate:0.000240
2019-12-19 07:48:36,167 - Model - INFO - Training mean loss: 0.216872
2019-12-19 07:48:36,167 - Model - INFO - Training accuracy: 0.921991
2019-12-19 07:48:36,170 - Model - INFO - ---- EPOCH 913 EVALUATION ----
2019-12-19 07:48:44,942 - Model - INFO - Eval mean loss: 0.946298
2019-12-19 07:48:44,942 - Model - INFO - Eval accuracy: 0.766596
2019-12-19 07:48:44,942 - Model - INFO - **** Epoch 914 (914/1024) ****
2019-12-19 07:48:44,942 - Model - INFO - Learning rate:0.000240
2019-12-19 07:49:02,689 - Model - INFO - Training mean loss: 0.228180
2019-12-19 07:49:02,689 - Model - INFO - Training accuracy: 0.923488
2019-12-19 07:49:02,691 - Model - INFO - ---- EPOCH 914 EVALUATION ----
2019-12-19 07:49:11,221 - Model - INFO - Eval mean loss: 0.878749
2019-12-19 07:49:11,222 - Model - INFO - Eval accuracy: 0.773117
2019-12-19 07:49:11,222 - Model - INFO - **** Epoch 915 (915/1024) ****
2019-12-19 07:49:11,222 - Model - INFO - Learning rate:0.000240
2019-12-19 07:49:29,674 - Model - INFO - Training mean loss: 0.222623
2019-12-19 07:49:29,675 - Model - INFO - Training accuracy: 0.921952
2019-12-19 07:49:29,677 - Model - INFO - ---- EPOCH 915 EVALUATION ----
2019-12-19 07:49:38,370 - Model - INFO - Eval mean loss: 0.915415
2019-12-19 07:49:38,370 - Model - INFO - Eval accuracy: 0.765862
2019-12-19 07:49:38,371 - Model - INFO - **** Epoch 916 (916/1024) ****
2019-12-19 07:49:38,371 - Model - INFO - Learning rate:0.000240
2019-12-19 07:49:56,852 - Model - INFO - Training mean loss: 0.224460
2019-12-19 07:49:56,852 - Model - INFO - Training accuracy: 0.924393
2019-12-19 07:49:56,854 - Model - INFO - ---- EPOCH 916 EVALUATION ----
2019-12-19 07:50:05,602 - Model - INFO - Eval mean loss: 0.851050
2019-12-19 07:50:05,602 - Model - INFO - Eval accuracy: 0.775942
2019-12-19 07:50:05,603 - Model - INFO - ---- EPOCH 916 EVALUATION WHOLE SCENE----
2019-12-19 07:52:26,139 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:52:26,139 - Model - INFO - eval point avg class IoU: 0.186865
2019-12-19 07:52:26,139 - Model - INFO - eval whole scene point accuracy: 0.626673
2019-12-19 07:52:26,139 - Model - INFO - eval whole scene point avg class acc: 0.241170
2019-12-19 07:52:26,139 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.830 
class floor          weight: 0.157, IoU: 0.926 
class wall           weight: 0.278, IoU: 0.516 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.014 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.024 
class sofa           weight: 0.002, IoU: 0.009 
class bookcase       weight: 0.130, IoU: 0.024 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.086 

2019-12-19 07:52:26,139 - Model - INFO - Save model...
2019-12-19 07:52:26,139 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:52:26,163 - Model - INFO - Saving model....
2019-12-19 07:52:26,163 - Model - INFO - **** Epoch 917 (917/1024) ****
2019-12-19 07:52:26,163 - Model - INFO - Learning rate:0.000240
2019-12-19 07:52:44,525 - Model - INFO - Training mean loss: 0.224272
2019-12-19 07:52:44,525 - Model - INFO - Training accuracy: 0.920360
2019-12-19 07:52:44,527 - Model - INFO - ---- EPOCH 917 EVALUATION ----
2019-12-19 07:52:52,979 - Model - INFO - Eval mean loss: 0.892631
2019-12-19 07:52:52,979 - Model - INFO - Eval accuracy: 0.767882
2019-12-19 07:52:52,979 - Model - INFO - **** Epoch 918 (918/1024) ****
2019-12-19 07:52:52,979 - Model - INFO - Learning rate:0.000240
2019-12-19 07:53:10,333 - Model - INFO - Training mean loss: 0.238001
2019-12-19 07:53:10,333 - Model - INFO - Training accuracy: 0.920693
2019-12-19 07:53:10,334 - Model - INFO - ---- EPOCH 918 EVALUATION ----
2019-12-19 07:53:19,116 - Model - INFO - Eval mean loss: 0.952174
2019-12-19 07:53:19,116 - Model - INFO - Eval accuracy: 0.756900
2019-12-19 07:53:19,116 - Model - INFO - **** Epoch 919 (919/1024) ****
2019-12-19 07:53:19,116 - Model - INFO - Learning rate:0.000240
2019-12-19 07:53:38,995 - Model - INFO - Training mean loss: 0.225147
2019-12-19 07:53:38,995 - Model - INFO - Training accuracy: 0.922084
2019-12-19 07:53:38,997 - Model - INFO - ---- EPOCH 919 EVALUATION ----
2019-12-19 07:53:47,545 - Model - INFO - Eval mean loss: 0.867650
2019-12-19 07:53:47,545 - Model - INFO - Eval accuracy: 0.762794
2019-12-19 07:53:47,545 - Model - INFO - **** Epoch 920 (920/1024) ****
2019-12-19 07:53:47,545 - Model - INFO - Learning rate:0.000240
2019-12-19 07:54:07,032 - Model - INFO - Training mean loss: 0.231412
2019-12-19 07:54:07,032 - Model - INFO - Training accuracy: 0.922433
2019-12-19 07:54:07,034 - Model - INFO - ---- EPOCH 920 EVALUATION ----
2019-12-19 07:54:15,722 - Model - INFO - Eval mean loss: 0.651295
2019-12-19 07:54:15,722 - Model - INFO - Eval accuracy: 0.804128
2019-12-19 07:54:15,722 - Model - INFO - **** Epoch 921 (921/1024) ****
2019-12-19 07:54:15,723 - Model - INFO - Learning rate:0.000240
2019-12-19 07:54:35,236 - Model - INFO - Training mean loss: 0.222422
2019-12-19 07:54:35,236 - Model - INFO - Training accuracy: 0.922507
2019-12-19 07:54:35,239 - Model - INFO - ---- EPOCH 921 EVALUATION ----
2019-12-19 07:54:43,909 - Model - INFO - Eval mean loss: 0.790027
2019-12-19 07:54:43,910 - Model - INFO - Eval accuracy: 0.775923
2019-12-19 07:54:43,910 - Model - INFO - ---- EPOCH 921 EVALUATION WHOLE SCENE----
2019-12-19 07:57:04,264 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 07:57:04,264 - Model - INFO - eval point avg class IoU: 0.182042
2019-12-19 07:57:04,264 - Model - INFO - eval whole scene point accuracy: 0.539789
2019-12-19 07:57:04,264 - Model - INFO - eval whole scene point avg class acc: 0.230251
2019-12-19 07:57:04,264 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.774 
class floor          weight: 0.157, IoU: 0.877 
class wall           weight: 0.278, IoU: 0.400 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.015 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.187 
class sofa           weight: 0.002, IoU: 0.002 
class bookcase       weight: 0.131, IoU: 0.012 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.099 

2019-12-19 07:57:04,264 - Model - INFO - Save model...
2019-12-19 07:57:04,264 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 07:57:04,288 - Model - INFO - Saving model....
2019-12-19 07:57:04,288 - Model - INFO - **** Epoch 922 (922/1024) ****
2019-12-19 07:57:04,288 - Model - INFO - Learning rate:0.000240
2019-12-19 07:57:22,456 - Model - INFO - Training mean loss: 0.215866
2019-12-19 07:57:22,456 - Model - INFO - Training accuracy: 0.923747
2019-12-19 07:57:22,459 - Model - INFO - ---- EPOCH 922 EVALUATION ----
2019-12-19 07:57:31,088 - Model - INFO - Eval mean loss: 0.928277
2019-12-19 07:57:31,089 - Model - INFO - Eval accuracy: 0.780772
2019-12-19 07:57:31,089 - Model - INFO - **** Epoch 923 (923/1024) ****
2019-12-19 07:57:31,089 - Model - INFO - Learning rate:0.000240
2019-12-19 07:57:50,311 - Model - INFO - Training mean loss: 0.214019
2019-12-19 07:57:50,311 - Model - INFO - Training accuracy: 0.926977
2019-12-19 07:57:50,313 - Model - INFO - ---- EPOCH 923 EVALUATION ----
2019-12-19 07:57:59,172 - Model - INFO - Eval mean loss: 0.978200
2019-12-19 07:57:59,172 - Model - INFO - Eval accuracy: 0.758726
2019-12-19 07:57:59,172 - Model - INFO - **** Epoch 924 (924/1024) ****
2019-12-19 07:57:59,172 - Model - INFO - Learning rate:0.000240
2019-12-19 07:58:18,235 - Model - INFO - Training mean loss: 0.235498
2019-12-19 07:58:18,235 - Model - INFO - Training accuracy: 0.919412
2019-12-19 07:58:18,237 - Model - INFO - ---- EPOCH 924 EVALUATION ----
2019-12-19 07:58:27,095 - Model - INFO - Eval mean loss: 0.942845
2019-12-19 07:58:27,095 - Model - INFO - Eval accuracy: 0.760286
2019-12-19 07:58:27,095 - Model - INFO - **** Epoch 925 (925/1024) ****
2019-12-19 07:58:27,095 - Model - INFO - Learning rate:0.000240
2019-12-19 07:58:45,199 - Model - INFO - Training mean loss: 0.211783
2019-12-19 07:58:45,199 - Model - INFO - Training accuracy: 0.925132
2019-12-19 07:58:45,202 - Model - INFO - ---- EPOCH 925 EVALUATION ----
2019-12-19 07:58:54,142 - Model - INFO - Eval mean loss: 0.813498
2019-12-19 07:58:54,142 - Model - INFO - Eval accuracy: 0.782272
2019-12-19 07:58:54,142 - Model - INFO - **** Epoch 926 (926/1024) ****
2019-12-19 07:58:54,142 - Model - INFO - Learning rate:0.000240
2019-12-19 07:59:11,870 - Model - INFO - Training mean loss: 0.232873
2019-12-19 07:59:11,870 - Model - INFO - Training accuracy: 0.920349
2019-12-19 07:59:11,871 - Model - INFO - ---- EPOCH 926 EVALUATION ----
2019-12-19 07:59:20,506 - Model - INFO - Eval mean loss: 0.851785
2019-12-19 07:59:20,506 - Model - INFO - Eval accuracy: 0.783429
2019-12-19 07:59:20,506 - Model - INFO - ---- EPOCH 926 EVALUATION WHOLE SCENE----
2019-12-19 08:01:41,753 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:01:41,753 - Model - INFO - eval point avg class IoU: 0.178320
2019-12-19 08:01:41,753 - Model - INFO - eval whole scene point accuracy: 0.564147
2019-12-19 08:01:41,753 - Model - INFO - eval whole scene point avg class acc: 0.239361
2019-12-19 08:01:41,753 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.751 
class floor          weight: 0.157, IoU: 0.920 
class wall           weight: 0.278, IoU: 0.453 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.009 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.116 
class sofa           weight: 0.002, IoU: 0.017 
class bookcase       weight: 0.131, IoU: 0.000 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.053 

2019-12-19 08:01:41,753 - Model - INFO - Save model...
2019-12-19 08:01:41,753 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:01:41,776 - Model - INFO - Saving model....
2019-12-19 08:01:41,777 - Model - INFO - **** Epoch 927 (927/1024) ****
2019-12-19 08:01:41,777 - Model - INFO - Learning rate:0.000240
2019-12-19 08:02:00,601 - Model - INFO - Training mean loss: 0.241253
2019-12-19 08:02:00,601 - Model - INFO - Training accuracy: 0.914711
2019-12-19 08:02:00,603 - Model - INFO - ---- EPOCH 927 EVALUATION ----
2019-12-19 08:02:09,084 - Model - INFO - Eval mean loss: 0.635350
2019-12-19 08:02:09,084 - Model - INFO - Eval accuracy: 0.802809
2019-12-19 08:02:09,084 - Model - INFO - **** Epoch 928 (928/1024) ****
2019-12-19 08:02:09,084 - Model - INFO - Learning rate:0.000240
2019-12-19 08:02:27,992 - Model - INFO - Training mean loss: 0.230177
2019-12-19 08:02:27,992 - Model - INFO - Training accuracy: 0.918237
2019-12-19 08:02:27,994 - Model - INFO - ---- EPOCH 928 EVALUATION ----
2019-12-19 08:02:36,733 - Model - INFO - Eval mean loss: 0.783187
2019-12-19 08:02:36,733 - Model - INFO - Eval accuracy: 0.769796
2019-12-19 08:02:36,733 - Model - INFO - **** Epoch 929 (929/1024) ****
2019-12-19 08:02:36,733 - Model - INFO - Learning rate:0.000240
2019-12-19 08:02:54,644 - Model - INFO - Training mean loss: 0.218554
2019-12-19 08:02:54,645 - Model - INFO - Training accuracy: 0.922047
2019-12-19 08:02:54,647 - Model - INFO - ---- EPOCH 929 EVALUATION ----
2019-12-19 08:03:03,367 - Model - INFO - Eval mean loss: 0.927252
2019-12-19 08:03:03,368 - Model - INFO - Eval accuracy: 0.773524
2019-12-19 08:03:03,368 - Model - INFO - **** Epoch 930 (930/1024) ****
2019-12-19 08:03:03,368 - Model - INFO - Learning rate:0.000240
2019-12-19 08:03:21,568 - Model - INFO - Training mean loss: 0.222951
2019-12-19 08:03:21,568 - Model - INFO - Training accuracy: 0.922066
2019-12-19 08:03:21,571 - Model - INFO - ---- EPOCH 930 EVALUATION ----
2019-12-19 08:03:30,052 - Model - INFO - Eval mean loss: 0.910512
2019-12-19 08:03:30,052 - Model - INFO - Eval accuracy: 0.775433
2019-12-19 08:03:30,052 - Model - INFO - **** Epoch 931 (931/1024) ****
2019-12-19 08:03:30,053 - Model - INFO - Learning rate:0.000240
2019-12-19 08:03:47,990 - Model - INFO - Training mean loss: 0.222312
2019-12-19 08:03:47,990 - Model - INFO - Training accuracy: 0.919563
2019-12-19 08:03:47,993 - Model - INFO - ---- EPOCH 931 EVALUATION ----
2019-12-19 08:03:56,735 - Model - INFO - Eval mean loss: 0.868580
2019-12-19 08:03:56,735 - Model - INFO - Eval accuracy: 0.774328
2019-12-19 08:03:56,735 - Model - INFO - ---- EPOCH 931 EVALUATION WHOLE SCENE----
2019-12-19 08:06:17,321 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:06:17,321 - Model - INFO - eval point avg class IoU: 0.170968
2019-12-19 08:06:17,321 - Model - INFO - eval whole scene point accuracy: 0.505108
2019-12-19 08:06:17,321 - Model - INFO - eval whole scene point avg class acc: 0.219495
2019-12-19 08:06:17,322 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.808 
class floor          weight: 0.157, IoU: 0.868 
class wall           weight: 0.278, IoU: 0.330 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.024 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.131 
class sofa           weight: 0.002, IoU: 0.003 
class bookcase       weight: 0.130, IoU: 0.007 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.051 

2019-12-19 08:06:17,322 - Model - INFO - Save model...
2019-12-19 08:06:17,322 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:06:17,372 - Model - INFO - Saving model....
2019-12-19 08:06:17,372 - Model - INFO - **** Epoch 932 (932/1024) ****
2019-12-19 08:06:17,372 - Model - INFO - Learning rate:0.000240
2019-12-19 08:06:37,244 - Model - INFO - Training mean loss: 0.206222
2019-12-19 08:06:37,244 - Model - INFO - Training accuracy: 0.926627
2019-12-19 08:06:37,246 - Model - INFO - ---- EPOCH 932 EVALUATION ----
2019-12-19 08:06:45,991 - Model - INFO - Eval mean loss: 0.778666
2019-12-19 08:06:45,991 - Model - INFO - Eval accuracy: 0.778256
2019-12-19 08:06:45,991 - Model - INFO - **** Epoch 933 (933/1024) ****
2019-12-19 08:06:45,992 - Model - INFO - Learning rate:0.000240
2019-12-19 08:07:04,876 - Model - INFO - Training mean loss: 0.216987
2019-12-19 08:07:04,876 - Model - INFO - Training accuracy: 0.926479
2019-12-19 08:07:04,879 - Model - INFO - ---- EPOCH 933 EVALUATION ----
2019-12-19 08:07:13,363 - Model - INFO - Eval mean loss: 0.992262
2019-12-19 08:07:13,363 - Model - INFO - Eval accuracy: 0.756968
2019-12-19 08:07:13,363 - Model - INFO - **** Epoch 934 (934/1024) ****
2019-12-19 08:07:13,363 - Model - INFO - Learning rate:0.000240
2019-12-19 08:07:31,711 - Model - INFO - Training mean loss: 0.210412
2019-12-19 08:07:31,711 - Model - INFO - Training accuracy: 0.925244
2019-12-19 08:07:31,713 - Model - INFO - ---- EPOCH 934 EVALUATION ----
2019-12-19 08:07:40,533 - Model - INFO - Eval mean loss: 0.960638
2019-12-19 08:07:40,533 - Model - INFO - Eval accuracy: 0.763370
2019-12-19 08:07:40,534 - Model - INFO - **** Epoch 935 (935/1024) ****
2019-12-19 08:07:40,534 - Model - INFO - Learning rate:0.000240
2019-12-19 08:07:59,711 - Model - INFO - Training mean loss: 0.227012
2019-12-19 08:07:59,711 - Model - INFO - Training accuracy: 0.920444
2019-12-19 08:07:59,714 - Model - INFO - ---- EPOCH 935 EVALUATION ----
2019-12-19 08:08:08,376 - Model - INFO - Eval mean loss: 0.826158
2019-12-19 08:08:08,377 - Model - INFO - Eval accuracy: 0.782983
2019-12-19 08:08:08,377 - Model - INFO - **** Epoch 936 (936/1024) ****
2019-12-19 08:08:08,377 - Model - INFO - Learning rate:0.000240
2019-12-19 08:08:26,417 - Model - INFO - Training mean loss: 0.224528
2019-12-19 08:08:26,417 - Model - INFO - Training accuracy: 0.922320
2019-12-19 08:08:26,419 - Model - INFO - ---- EPOCH 936 EVALUATION ----
2019-12-19 08:08:35,003 - Model - INFO - Eval mean loss: 0.732229
2019-12-19 08:08:35,004 - Model - INFO - Eval accuracy: 0.787837
2019-12-19 08:08:35,004 - Model - INFO - ---- EPOCH 936 EVALUATION WHOLE SCENE----
2019-12-19 08:10:55,102 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:10:55,102 - Model - INFO - eval point avg class IoU: 0.183721
2019-12-19 08:10:55,102 - Model - INFO - eval whole scene point accuracy: 0.638262
2019-12-19 08:10:55,102 - Model - INFO - eval whole scene point avg class acc: 0.259235
2019-12-19 08:10:55,102 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.859 
class floor          weight: 0.157, IoU: 0.940 
class wall           weight: 0.278, IoU: 0.515 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.011 
class table          weight: 0.038, IoU: 0.002 
class chair          weight: 0.020, IoU: 0.006 
class sofa           weight: 0.002, IoU: 0.021 
class bookcase       weight: 0.131, IoU: 0.019 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.015 

2019-12-19 08:10:55,102 - Model - INFO - Save model...
2019-12-19 08:10:55,103 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:10:55,126 - Model - INFO - Saving model....
2019-12-19 08:10:55,126 - Model - INFO - **** Epoch 937 (937/1024) ****
2019-12-19 08:10:55,126 - Model - INFO - Learning rate:0.000240
2019-12-19 08:11:12,458 - Model - INFO - Training mean loss: 0.199147
2019-12-19 08:11:12,458 - Model - INFO - Training accuracy: 0.929024
2019-12-19 08:11:12,460 - Model - INFO - ---- EPOCH 937 EVALUATION ----
2019-12-19 08:11:20,964 - Model - INFO - Eval mean loss: 0.754232
2019-12-19 08:11:20,965 - Model - INFO - Eval accuracy: 0.789797
2019-12-19 08:11:20,965 - Model - INFO - **** Epoch 938 (938/1024) ****
2019-12-19 08:11:20,965 - Model - INFO - Learning rate:0.000240
2019-12-19 08:11:39,383 - Model - INFO - Training mean loss: 0.230361
2019-12-19 08:11:39,383 - Model - INFO - Training accuracy: 0.917867
2019-12-19 08:11:39,386 - Model - INFO - ---- EPOCH 938 EVALUATION ----
2019-12-19 08:11:48,172 - Model - INFO - Eval mean loss: 0.867389
2019-12-19 08:11:48,173 - Model - INFO - Eval accuracy: 0.772351
2019-12-19 08:11:48,173 - Model - INFO - **** Epoch 939 (939/1024) ****
2019-12-19 08:11:48,173 - Model - INFO - Learning rate:0.000240
2019-12-19 08:12:07,043 - Model - INFO - Training mean loss: 0.235399
2019-12-19 08:12:07,044 - Model - INFO - Training accuracy: 0.917490
2019-12-19 08:12:07,046 - Model - INFO - ---- EPOCH 939 EVALUATION ----
2019-12-19 08:12:15,514 - Model - INFO - Eval mean loss: 1.186657
2019-12-19 08:12:15,515 - Model - INFO - Eval accuracy: 0.755434
2019-12-19 08:12:15,515 - Model - INFO - **** Epoch 940 (940/1024) ****
2019-12-19 08:12:15,515 - Model - INFO - Learning rate:0.000240
2019-12-19 08:12:35,826 - Model - INFO - Training mean loss: 0.230752
2019-12-19 08:12:35,826 - Model - INFO - Training accuracy: 0.918600
2019-12-19 08:12:35,828 - Model - INFO - ---- EPOCH 940 EVALUATION ----
2019-12-19 08:12:44,283 - Model - INFO - Eval mean loss: 0.951625
2019-12-19 08:12:44,283 - Model - INFO - Eval accuracy: 0.783127
2019-12-19 08:12:44,283 - Model - INFO - **** Epoch 941 (941/1024) ****
2019-12-19 08:12:44,283 - Model - INFO - Learning rate:0.000240
2019-12-19 08:13:02,693 - Model - INFO - Training mean loss: 0.233668
2019-12-19 08:13:02,694 - Model - INFO - Training accuracy: 0.914459
2019-12-19 08:13:02,696 - Model - INFO - ---- EPOCH 941 EVALUATION ----
2019-12-19 08:13:11,507 - Model - INFO - Eval mean loss: 0.811242
2019-12-19 08:13:11,507 - Model - INFO - Eval accuracy: 0.783203
2019-12-19 08:13:11,507 - Model - INFO - ---- EPOCH 941 EVALUATION WHOLE SCENE----
2019-12-19 08:15:32,190 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:15:32,190 - Model - INFO - eval point avg class IoU: 0.155128
2019-12-19 08:15:32,190 - Model - INFO - eval whole scene point accuracy: 0.404011
2019-12-19 08:15:32,190 - Model - INFO - eval whole scene point avg class acc: 0.218093
2019-12-19 08:15:32,190 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.736 
class floor          weight: 0.157, IoU: 0.958 
class wall           weight: 0.278, IoU: 0.181 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.043 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.014 
class sofa           weight: 0.002, IoU: 0.008 
class bookcase       weight: 0.131, IoU: 0.025 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.052 

2019-12-19 08:15:32,191 - Model - INFO - Save model...
2019-12-19 08:15:32,191 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:15:32,214 - Model - INFO - Saving model....
2019-12-19 08:15:32,214 - Model - INFO - **** Epoch 942 (942/1024) ****
2019-12-19 08:15:32,214 - Model - INFO - Learning rate:0.000240
2019-12-19 08:15:51,463 - Model - INFO - Training mean loss: 0.238773
2019-12-19 08:15:51,463 - Model - INFO - Training accuracy: 0.919033
2019-12-19 08:15:51,465 - Model - INFO - ---- EPOCH 942 EVALUATION ----
2019-12-19 08:16:00,674 - Model - INFO - Eval mean loss: 1.037997
2019-12-19 08:16:00,674 - Model - INFO - Eval accuracy: 0.745417
2019-12-19 08:16:00,674 - Model - INFO - **** Epoch 943 (943/1024) ****
2019-12-19 08:16:00,675 - Model - INFO - Learning rate:0.000240
2019-12-19 08:16:18,278 - Model - INFO - Training mean loss: 0.238039
2019-12-19 08:16:18,279 - Model - INFO - Training accuracy: 0.916857
2019-12-19 08:16:18,280 - Model - INFO - ---- EPOCH 943 EVALUATION ----
2019-12-19 08:16:27,129 - Model - INFO - Eval mean loss: 1.139930
2019-12-19 08:16:27,129 - Model - INFO - Eval accuracy: 0.752314
2019-12-19 08:16:27,129 - Model - INFO - **** Epoch 944 (944/1024) ****
2019-12-19 08:16:27,129 - Model - INFO - Learning rate:0.000240
2019-12-19 08:16:46,275 - Model - INFO - Training mean loss: 0.252347
2019-12-19 08:16:46,276 - Model - INFO - Training accuracy: 0.914442
2019-12-19 08:16:46,277 - Model - INFO - ---- EPOCH 944 EVALUATION ----
2019-12-19 08:16:54,789 - Model - INFO - Eval mean loss: 0.760834
2019-12-19 08:16:54,789 - Model - INFO - Eval accuracy: 0.794117
2019-12-19 08:16:54,789 - Model - INFO - **** Epoch 945 (945/1024) ****
2019-12-19 08:16:54,789 - Model - INFO - Learning rate:0.000240
2019-12-19 08:17:12,589 - Model - INFO - Training mean loss: 0.222703
2019-12-19 08:17:12,589 - Model - INFO - Training accuracy: 0.925354
2019-12-19 08:17:12,592 - Model - INFO - ---- EPOCH 945 EVALUATION ----
2019-12-19 08:17:21,234 - Model - INFO - Eval mean loss: 0.977510
2019-12-19 08:17:21,235 - Model - INFO - Eval accuracy: 0.768002
2019-12-19 08:17:21,235 - Model - INFO - **** Epoch 946 (946/1024) ****
2019-12-19 08:17:21,235 - Model - INFO - Learning rate:0.000240
2019-12-19 08:17:41,125 - Model - INFO - Training mean loss: 0.223104
2019-12-19 08:17:41,126 - Model - INFO - Training accuracy: 0.922226
2019-12-19 08:17:41,129 - Model - INFO - ---- EPOCH 946 EVALUATION ----
2019-12-19 08:17:49,817 - Model - INFO - Eval mean loss: 0.802606
2019-12-19 08:17:49,818 - Model - INFO - Eval accuracy: 0.780501
2019-12-19 08:17:49,818 - Model - INFO - ---- EPOCH 946 EVALUATION WHOLE SCENE----
2019-12-19 08:20:09,998 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:20:09,998 - Model - INFO - eval point avg class IoU: 0.193771
2019-12-19 08:20:09,998 - Model - INFO - eval whole scene point accuracy: 0.606352
2019-12-19 08:20:09,998 - Model - INFO - eval whole scene point avg class acc: 0.262490
2019-12-19 08:20:09,999 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.844 
class floor          weight: 0.157, IoU: 0.884 
class wall           weight: 0.278, IoU: 0.474 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.018 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.231 
class sofa           weight: 0.002, IoU: 0.008 
class bookcase       weight: 0.131, IoU: 0.021 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.039 

2019-12-19 08:20:09,999 - Model - INFO - Save model...
2019-12-19 08:20:09,999 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:20:10,045 - Model - INFO - Saving model....
2019-12-19 08:20:10,046 - Model - INFO - **** Epoch 947 (947/1024) ****
2019-12-19 08:20:10,046 - Model - INFO - Learning rate:0.000240
2019-12-19 08:20:29,496 - Model - INFO - Training mean loss: 0.228449
2019-12-19 08:20:29,496 - Model - INFO - Training accuracy: 0.922694
2019-12-19 08:20:29,499 - Model - INFO - ---- EPOCH 947 EVALUATION ----
2019-12-19 08:20:38,224 - Model - INFO - Eval mean loss: 0.938620
2019-12-19 08:20:38,224 - Model - INFO - Eval accuracy: 0.755783
2019-12-19 08:20:38,224 - Model - INFO - **** Epoch 948 (948/1024) ****
2019-12-19 08:20:38,224 - Model - INFO - Learning rate:0.000240
2019-12-19 08:20:57,435 - Model - INFO - Training mean loss: 0.213088
2019-12-19 08:20:57,436 - Model - INFO - Training accuracy: 0.923136
2019-12-19 08:20:57,438 - Model - INFO - ---- EPOCH 948 EVALUATION ----
2019-12-19 08:21:05,953 - Model - INFO - Eval mean loss: 1.015609
2019-12-19 08:21:05,954 - Model - INFO - Eval accuracy: 0.750103
2019-12-19 08:21:05,954 - Model - INFO - **** Epoch 949 (949/1024) ****
2019-12-19 08:21:05,954 - Model - INFO - Learning rate:0.000240
2019-12-19 08:21:23,080 - Model - INFO - Training mean loss: 0.219972
2019-12-19 08:21:23,080 - Model - INFO - Training accuracy: 0.922872
2019-12-19 08:21:23,081 - Model - INFO - ---- EPOCH 949 EVALUATION ----
2019-12-19 08:21:31,588 - Model - INFO - Eval mean loss: 0.924145
2019-12-19 08:21:31,588 - Model - INFO - Eval accuracy: 0.755681
2019-12-19 08:21:31,588 - Model - INFO - **** Epoch 950 (950/1024) ****
2019-12-19 08:21:31,588 - Model - INFO - Learning rate:0.000240
2019-12-19 08:21:49,536 - Model - INFO - Training mean loss: 0.226628
2019-12-19 08:21:49,536 - Model - INFO - Training accuracy: 0.917328
2019-12-19 08:21:49,537 - Model - INFO - ---- EPOCH 950 EVALUATION ----
2019-12-19 08:21:58,746 - Model - INFO - Eval mean loss: 0.867413
2019-12-19 08:21:58,746 - Model - INFO - Eval accuracy: 0.766522
2019-12-19 08:21:58,746 - Model - INFO - **** Epoch 951 (951/1024) ****
2019-12-19 08:21:58,747 - Model - INFO - Learning rate:0.000240
2019-12-19 08:22:16,494 - Model - INFO - Training mean loss: 0.227137
2019-12-19 08:22:16,495 - Model - INFO - Training accuracy: 0.920187
2019-12-19 08:22:16,497 - Model - INFO - ---- EPOCH 951 EVALUATION ----
2019-12-19 08:22:25,227 - Model - INFO - Eval mean loss: 0.905683
2019-12-19 08:22:25,227 - Model - INFO - Eval accuracy: 0.760074
2019-12-19 08:22:25,227 - Model - INFO - ---- EPOCH 951 EVALUATION WHOLE SCENE----
2019-12-19 08:24:45,571 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:24:45,571 - Model - INFO - eval point avg class IoU: 0.193213
2019-12-19 08:24:45,571 - Model - INFO - eval whole scene point accuracy: 0.534544
2019-12-19 08:24:45,571 - Model - INFO - eval whole scene point avg class acc: 0.245942
2019-12-19 08:24:45,571 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.856 
class floor          weight: 0.157, IoU: 0.902 
class wall           weight: 0.278, IoU: 0.352 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.031 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.187 
class sofa           weight: 0.002, IoU: 0.002 
class bookcase       weight: 0.130, IoU: 0.081 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.101 

2019-12-19 08:24:45,571 - Model - INFO - Save model...
2019-12-19 08:24:45,571 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:24:45,594 - Model - INFO - Saving model....
2019-12-19 08:24:45,595 - Model - INFO - **** Epoch 952 (952/1024) ****
2019-12-19 08:24:45,595 - Model - INFO - Learning rate:0.000240
2019-12-19 08:25:03,536 - Model - INFO - Training mean loss: 0.224467
2019-12-19 08:25:03,536 - Model - INFO - Training accuracy: 0.921809
2019-12-19 08:25:03,538 - Model - INFO - ---- EPOCH 952 EVALUATION ----
2019-12-19 08:25:12,232 - Model - INFO - Eval mean loss: 1.096653
2019-12-19 08:25:12,233 - Model - INFO - Eval accuracy: 0.750849
2019-12-19 08:25:12,233 - Model - INFO - **** Epoch 953 (953/1024) ****
2019-12-19 08:25:12,233 - Model - INFO - Learning rate:0.000240
2019-12-19 08:25:30,072 - Model - INFO - Training mean loss: 0.207822
2019-12-19 08:25:30,072 - Model - INFO - Training accuracy: 0.928956
2019-12-19 08:25:30,074 - Model - INFO - ---- EPOCH 953 EVALUATION ----
2019-12-19 08:25:39,073 - Model - INFO - Eval mean loss: 0.993142
2019-12-19 08:25:39,073 - Model - INFO - Eval accuracy: 0.757005
2019-12-19 08:25:39,073 - Model - INFO - **** Epoch 954 (954/1024) ****
2019-12-19 08:25:39,073 - Model - INFO - Learning rate:0.000240
2019-12-19 08:25:57,509 - Model - INFO - Training mean loss: 0.222423
2019-12-19 08:25:57,509 - Model - INFO - Training accuracy: 0.922509
2019-12-19 08:25:57,512 - Model - INFO - ---- EPOCH 954 EVALUATION ----
2019-12-19 08:26:06,304 - Model - INFO - Eval mean loss: 0.848511
2019-12-19 08:26:06,305 - Model - INFO - Eval accuracy: 0.783964
2019-12-19 08:26:06,305 - Model - INFO - **** Epoch 955 (955/1024) ****
2019-12-19 08:26:06,305 - Model - INFO - Learning rate:0.000240
2019-12-19 08:26:26,770 - Model - INFO - Training mean loss: 0.210489
2019-12-19 08:26:26,771 - Model - INFO - Training accuracy: 0.927291
2019-12-19 08:26:26,773 - Model - INFO - ---- EPOCH 955 EVALUATION ----
2019-12-19 08:26:35,549 - Model - INFO - Eval mean loss: 1.144648
2019-12-19 08:26:35,549 - Model - INFO - Eval accuracy: 0.750309
2019-12-19 08:26:35,549 - Model - INFO - **** Epoch 956 (956/1024) ****
2019-12-19 08:26:35,549 - Model - INFO - Learning rate:0.000240
2019-12-19 08:26:52,960 - Model - INFO - Training mean loss: 0.217492
2019-12-19 08:26:52,960 - Model - INFO - Training accuracy: 0.925212
2019-12-19 08:26:52,963 - Model - INFO - ---- EPOCH 956 EVALUATION ----
2019-12-19 08:27:01,932 - Model - INFO - Eval mean loss: 0.901511
2019-12-19 08:27:01,932 - Model - INFO - Eval accuracy: 0.775740
2019-12-19 08:27:01,932 - Model - INFO - ---- EPOCH 956 EVALUATION WHOLE SCENE----
2019-12-19 08:29:22,462 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:29:22,462 - Model - INFO - eval point avg class IoU: 0.169194
2019-12-19 08:29:22,462 - Model - INFO - eval whole scene point accuracy: 0.493068
2019-12-19 08:29:22,463 - Model - INFO - eval whole scene point avg class acc: 0.229623
2019-12-19 08:29:22,463 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.697 
class floor          weight: 0.157, IoU: 0.933 
class wall           weight: 0.278, IoU: 0.373 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.022 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.044 
class sofa           weight: 0.002, IoU: 0.021 
class bookcase       weight: 0.131, IoU: 0.005 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.103 

2019-12-19 08:29:22,463 - Model - INFO - Save model...
2019-12-19 08:29:22,463 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:29:22,486 - Model - INFO - Saving model....
2019-12-19 08:29:22,486 - Model - INFO - **** Epoch 957 (957/1024) ****
2019-12-19 08:29:22,486 - Model - INFO - Learning rate:0.000240
2019-12-19 08:29:41,258 - Model - INFO - Training mean loss: 0.227473
2019-12-19 08:29:41,259 - Model - INFO - Training accuracy: 0.921098
2019-12-19 08:29:41,261 - Model - INFO - ---- EPOCH 957 EVALUATION ----
2019-12-19 08:29:50,495 - Model - INFO - Eval mean loss: 0.857186
2019-12-19 08:29:50,496 - Model - INFO - Eval accuracy: 0.778693
2019-12-19 08:29:50,496 - Model - INFO - **** Epoch 958 (958/1024) ****
2019-12-19 08:29:50,496 - Model - INFO - Learning rate:0.000240
2019-12-19 08:30:09,562 - Model - INFO - Training mean loss: 0.222702
2019-12-19 08:30:09,563 - Model - INFO - Training accuracy: 0.921916
2019-12-19 08:30:09,565 - Model - INFO - ---- EPOCH 958 EVALUATION ----
2019-12-19 08:30:18,251 - Model - INFO - Eval mean loss: 0.762680
2019-12-19 08:30:18,251 - Model - INFO - Eval accuracy: 0.787011
2019-12-19 08:30:18,251 - Model - INFO - **** Epoch 959 (959/1024) ****
2019-12-19 08:30:18,251 - Model - INFO - Learning rate:0.000240
2019-12-19 08:30:36,684 - Model - INFO - Training mean loss: 0.212215
2019-12-19 08:30:36,684 - Model - INFO - Training accuracy: 0.925873
2019-12-19 08:30:36,687 - Model - INFO - ---- EPOCH 959 EVALUATION ----
2019-12-19 08:30:45,507 - Model - INFO - Eval mean loss: 0.917436
2019-12-19 08:30:45,507 - Model - INFO - Eval accuracy: 0.769696
2019-12-19 08:30:45,507 - Model - INFO - **** Epoch 960 (960/1024) ****
2019-12-19 08:30:45,507 - Model - INFO - Learning rate:0.000240
2019-12-19 08:31:04,928 - Model - INFO - Training mean loss: 0.226272
2019-12-19 08:31:04,928 - Model - INFO - Training accuracy: 0.922932
2019-12-19 08:31:04,931 - Model - INFO - ---- EPOCH 960 EVALUATION ----
2019-12-19 08:31:13,758 - Model - INFO - Eval mean loss: 0.995283
2019-12-19 08:31:13,758 - Model - INFO - Eval accuracy: 0.764169
2019-12-19 08:31:13,758 - Model - INFO - **** Epoch 961 (961/1024) ****
2019-12-19 08:31:13,758 - Model - INFO - Learning rate:0.000240
2019-12-19 08:31:32,452 - Model - INFO - Training mean loss: 0.226723
2019-12-19 08:31:32,452 - Model - INFO - Training accuracy: 0.921192
2019-12-19 08:31:32,454 - Model - INFO - ---- EPOCH 961 EVALUATION ----
2019-12-19 08:31:41,004 - Model - INFO - Eval mean loss: 0.759448
2019-12-19 08:31:41,004 - Model - INFO - Eval accuracy: 0.776571
2019-12-19 08:31:41,004 - Model - INFO - ---- EPOCH 961 EVALUATION WHOLE SCENE----
2019-12-19 08:34:00,946 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:34:00,946 - Model - INFO - eval point avg class IoU: 0.194223
2019-12-19 08:34:00,946 - Model - INFO - eval whole scene point accuracy: 0.635303
2019-12-19 08:34:00,946 - Model - INFO - eval whole scene point avg class acc: 0.248542
2019-12-19 08:34:00,947 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.839 
class floor          weight: 0.157, IoU: 0.935 
class wall           weight: 0.278, IoU: 0.514 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.011 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.153 
class sofa           weight: 0.002, IoU: 0.007 
class bookcase       weight: 0.131, IoU: 0.019 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.046 

2019-12-19 08:34:00,947 - Model - INFO - Save model...
2019-12-19 08:34:00,947 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:34:00,970 - Model - INFO - Saving model....
2019-12-19 08:34:00,970 - Model - INFO - **** Epoch 962 (962/1024) ****
2019-12-19 08:34:00,970 - Model - INFO - Learning rate:0.000240
2019-12-19 08:34:18,687 - Model - INFO - Training mean loss: 0.237461
2019-12-19 08:34:18,687 - Model - INFO - Training accuracy: 0.917124
2019-12-19 08:34:18,690 - Model - INFO - ---- EPOCH 962 EVALUATION ----
2019-12-19 08:34:27,346 - Model - INFO - Eval mean loss: 0.807355
2019-12-19 08:34:27,346 - Model - INFO - Eval accuracy: 0.777617
2019-12-19 08:34:27,347 - Model - INFO - **** Epoch 963 (963/1024) ****
2019-12-19 08:34:27,347 - Model - INFO - Learning rate:0.000240
2019-12-19 08:34:46,420 - Model - INFO - Training mean loss: 0.223658
2019-12-19 08:34:46,421 - Model - INFO - Training accuracy: 0.920552
2019-12-19 08:34:46,423 - Model - INFO - ---- EPOCH 963 EVALUATION ----
2019-12-19 08:34:55,156 - Model - INFO - Eval mean loss: 0.895272
2019-12-19 08:34:55,156 - Model - INFO - Eval accuracy: 0.777995
2019-12-19 08:34:55,156 - Model - INFO - **** Epoch 964 (964/1024) ****
2019-12-19 08:34:55,156 - Model - INFO - Learning rate:0.000240
2019-12-19 08:35:14,229 - Model - INFO - Training mean loss: 0.211079
2019-12-19 08:35:14,230 - Model - INFO - Training accuracy: 0.925708
2019-12-19 08:35:14,232 - Model - INFO - ---- EPOCH 964 EVALUATION ----
2019-12-19 08:35:23,034 - Model - INFO - Eval mean loss: 0.986076
2019-12-19 08:35:23,035 - Model - INFO - Eval accuracy: 0.765427
2019-12-19 08:35:23,035 - Model - INFO - **** Epoch 965 (965/1024) ****
2019-12-19 08:35:23,035 - Model - INFO - Learning rate:0.000240
2019-12-19 08:35:42,336 - Model - INFO - Training mean loss: 0.224242
2019-12-19 08:35:42,336 - Model - INFO - Training accuracy: 0.923765
2019-12-19 08:35:42,337 - Model - INFO - ---- EPOCH 965 EVALUATION ----
2019-12-19 08:35:50,722 - Model - INFO - Eval mean loss: 0.829522
2019-12-19 08:35:50,722 - Model - INFO - Eval accuracy: 0.784368
2019-12-19 08:35:50,722 - Model - INFO - **** Epoch 966 (966/1024) ****
2019-12-19 08:35:50,722 - Model - INFO - Learning rate:0.000240
2019-12-19 08:36:08,735 - Model - INFO - Training mean loss: 0.233904
2019-12-19 08:36:08,736 - Model - INFO - Training accuracy: 0.919377
2019-12-19 08:36:08,737 - Model - INFO - ---- EPOCH 966 EVALUATION ----
2019-12-19 08:36:17,864 - Model - INFO - Eval mean loss: 0.957842
2019-12-19 08:36:17,864 - Model - INFO - Eval accuracy: 0.763455
2019-12-19 08:36:17,864 - Model - INFO - ---- EPOCH 966 EVALUATION WHOLE SCENE----
2019-12-19 08:38:38,258 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:38:38,258 - Model - INFO - eval point avg class IoU: 0.174390
2019-12-19 08:38:38,258 - Model - INFO - eval whole scene point accuracy: 0.549091
2019-12-19 08:38:38,258 - Model - INFO - eval whole scene point avg class acc: 0.239255
2019-12-19 08:38:38,259 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.833 
class floor          weight: 0.157, IoU: 0.892 
class wall           weight: 0.278, IoU: 0.404 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.022 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.018 
class sofa           weight: 0.002, IoU: 0.014 
class bookcase       weight: 0.131, IoU: 0.006 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.079 

2019-12-19 08:38:38,259 - Model - INFO - Save model...
2019-12-19 08:38:38,259 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:38:38,311 - Model - INFO - Saving model....
2019-12-19 08:38:38,311 - Model - INFO - **** Epoch 967 (967/1024) ****
2019-12-19 08:38:38,311 - Model - INFO - Learning rate:0.000240
2019-12-19 08:38:57,567 - Model - INFO - Training mean loss: 0.225708
2019-12-19 08:38:57,567 - Model - INFO - Training accuracy: 0.922091
2019-12-19 08:38:57,570 - Model - INFO - ---- EPOCH 967 EVALUATION ----
2019-12-19 08:39:06,336 - Model - INFO - Eval mean loss: 0.910301
2019-12-19 08:39:06,336 - Model - INFO - Eval accuracy: 0.771083
2019-12-19 08:39:06,336 - Model - INFO - **** Epoch 968 (968/1024) ****
2019-12-19 08:39:06,337 - Model - INFO - Learning rate:0.000240
2019-12-19 08:39:25,112 - Model - INFO - Training mean loss: 0.223462
2019-12-19 08:39:25,113 - Model - INFO - Training accuracy: 0.924327
2019-12-19 08:39:25,115 - Model - INFO - ---- EPOCH 968 EVALUATION ----
2019-12-19 08:39:33,903 - Model - INFO - Eval mean loss: 0.851262
2019-12-19 08:39:33,903 - Model - INFO - Eval accuracy: 0.794574
2019-12-19 08:39:33,903 - Model - INFO - **** Epoch 969 (969/1024) ****
2019-12-19 08:39:33,903 - Model - INFO - Learning rate:0.000240
2019-12-19 08:39:54,288 - Model - INFO - Training mean loss: 0.214157
2019-12-19 08:39:54,288 - Model - INFO - Training accuracy: 0.925773
2019-12-19 08:39:54,290 - Model - INFO - ---- EPOCH 969 EVALUATION ----
2019-12-19 08:40:02,758 - Model - INFO - Eval mean loss: 1.025451
2019-12-19 08:40:02,758 - Model - INFO - Eval accuracy: 0.782759
2019-12-19 08:40:02,758 - Model - INFO - **** Epoch 970 (970/1024) ****
2019-12-19 08:40:02,758 - Model - INFO - Learning rate:0.000240
2019-12-19 08:40:21,146 - Model - INFO - Training mean loss: 0.209333
2019-12-19 08:40:21,147 - Model - INFO - Training accuracy: 0.927831
2019-12-19 08:40:21,148 - Model - INFO - ---- EPOCH 970 EVALUATION ----
2019-12-19 08:40:29,707 - Model - INFO - Eval mean loss: 0.996492
2019-12-19 08:40:29,707 - Model - INFO - Eval accuracy: 0.763441
2019-12-19 08:40:29,707 - Model - INFO - **** Epoch 971 (971/1024) ****
2019-12-19 08:40:29,707 - Model - INFO - Learning rate:0.000240
2019-12-19 08:40:48,801 - Model - INFO - Training mean loss: 0.225918
2019-12-19 08:40:48,802 - Model - INFO - Training accuracy: 0.921797
2019-12-19 08:40:48,804 - Model - INFO - ---- EPOCH 971 EVALUATION ----
2019-12-19 08:40:57,502 - Model - INFO - Eval mean loss: 0.859668
2019-12-19 08:40:57,502 - Model - INFO - Eval accuracy: 0.769847
2019-12-19 08:40:57,503 - Model - INFO - ---- EPOCH 971 EVALUATION WHOLE SCENE----
2019-12-19 08:43:17,767 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:43:17,767 - Model - INFO - eval point avg class IoU: 0.186627
2019-12-19 08:43:17,767 - Model - INFO - eval whole scene point accuracy: 0.624167
2019-12-19 08:43:17,767 - Model - INFO - eval whole scene point avg class acc: 0.257729
2019-12-19 08:43:17,767 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.809 
class floor          weight: 0.157, IoU: 0.900 
class wall           weight: 0.278, IoU: 0.502 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.001 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.017 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.094 
class sofa           weight: 0.002, IoU: 0.016 
class bookcase       weight: 0.131, IoU: 0.001 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.085 

2019-12-19 08:43:17,767 - Model - INFO - Save model...
2019-12-19 08:43:17,768 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:43:17,791 - Model - INFO - Saving model....
2019-12-19 08:43:17,791 - Model - INFO - **** Epoch 972 (972/1024) ****
2019-12-19 08:43:17,791 - Model - INFO - Learning rate:0.000240
2019-12-19 08:43:35,106 - Model - INFO - Training mean loss: 0.229505
2019-12-19 08:43:35,106 - Model - INFO - Training accuracy: 0.921158
2019-12-19 08:43:35,108 - Model - INFO - ---- EPOCH 972 EVALUATION ----
2019-12-19 08:43:43,653 - Model - INFO - Eval mean loss: 0.935554
2019-12-19 08:43:43,653 - Model - INFO - Eval accuracy: 0.768929
2019-12-19 08:43:43,653 - Model - INFO - **** Epoch 973 (973/1024) ****
2019-12-19 08:43:43,653 - Model - INFO - Learning rate:0.000240
2019-12-19 08:44:01,323 - Model - INFO - Training mean loss: 0.225557
2019-12-19 08:44:01,323 - Model - INFO - Training accuracy: 0.920844
2019-12-19 08:44:01,326 - Model - INFO - ---- EPOCH 973 EVALUATION ----
2019-12-19 08:44:10,306 - Model - INFO - Eval mean loss: 1.047850
2019-12-19 08:44:10,306 - Model - INFO - Eval accuracy: 0.748908
2019-12-19 08:44:10,306 - Model - INFO - **** Epoch 974 (974/1024) ****
2019-12-19 08:44:10,306 - Model - INFO - Learning rate:0.000240
2019-12-19 08:44:29,416 - Model - INFO - Training mean loss: 0.249194
2019-12-19 08:44:29,416 - Model - INFO - Training accuracy: 0.917958
2019-12-19 08:44:29,419 - Model - INFO - ---- EPOCH 974 EVALUATION ----
2019-12-19 08:44:38,290 - Model - INFO - Eval mean loss: 0.923208
2019-12-19 08:44:38,290 - Model - INFO - Eval accuracy: 0.759689
2019-12-19 08:44:38,291 - Model - INFO - **** Epoch 975 (975/1024) ****
2019-12-19 08:44:38,291 - Model - INFO - Learning rate:0.000240
2019-12-19 08:44:56,184 - Model - INFO - Training mean loss: 0.235754
2019-12-19 08:44:56,184 - Model - INFO - Training accuracy: 0.920581
2019-12-19 08:44:56,185 - Model - INFO - ---- EPOCH 975 EVALUATION ----
2019-12-19 08:45:04,691 - Model - INFO - Eval mean loss: 0.956683
2019-12-19 08:45:04,692 - Model - INFO - Eval accuracy: 0.769472
2019-12-19 08:45:04,692 - Model - INFO - **** Epoch 976 (976/1024) ****
2019-12-19 08:45:04,692 - Model - INFO - Learning rate:0.000240
2019-12-19 08:45:24,689 - Model - INFO - Training mean loss: 0.195898
2019-12-19 08:45:24,690 - Model - INFO - Training accuracy: 0.930735
2019-12-19 08:45:24,691 - Model - INFO - ---- EPOCH 976 EVALUATION ----
2019-12-19 08:45:33,239 - Model - INFO - Eval mean loss: 0.701683
2019-12-19 08:45:33,239 - Model - INFO - Eval accuracy: 0.795554
2019-12-19 08:45:33,239 - Model - INFO - ---- EPOCH 976 EVALUATION WHOLE SCENE----
2019-12-19 08:47:53,584 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:47:53,584 - Model - INFO - eval point avg class IoU: 0.184388
2019-12-19 08:47:53,584 - Model - INFO - eval whole scene point accuracy: 0.553334
2019-12-19 08:47:53,584 - Model - INFO - eval whole scene point avg class acc: 0.248474
2019-12-19 08:47:53,584 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.825 
class floor          weight: 0.157, IoU: 0.916 
class wall           weight: 0.278, IoU: 0.403 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.019 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.115 
class sofa           weight: 0.002, IoU: 0.013 
class bookcase       weight: 0.130, IoU: 0.000 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.106 

2019-12-19 08:47:53,584 - Model - INFO - Save model...
2019-12-19 08:47:53,584 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:47:53,608 - Model - INFO - Saving model....
2019-12-19 08:47:53,608 - Model - INFO - **** Epoch 977 (977/1024) ****
2019-12-19 08:47:53,608 - Model - INFO - Learning rate:0.000240
2019-12-19 08:48:10,965 - Model - INFO - Training mean loss: 0.222437
2019-12-19 08:48:10,965 - Model - INFO - Training accuracy: 0.923875
2019-12-19 08:48:10,967 - Model - INFO - ---- EPOCH 977 EVALUATION ----
2019-12-19 08:48:19,396 - Model - INFO - Eval mean loss: 0.750519
2019-12-19 08:48:19,397 - Model - INFO - Eval accuracy: 0.788561
2019-12-19 08:48:19,397 - Model - INFO - **** Epoch 978 (978/1024) ****
2019-12-19 08:48:19,397 - Model - INFO - Learning rate:0.000240
2019-12-19 08:48:38,369 - Model - INFO - Training mean loss: 0.213225
2019-12-19 08:48:38,370 - Model - INFO - Training accuracy: 0.927359
2019-12-19 08:48:38,371 - Model - INFO - ---- EPOCH 978 EVALUATION ----
2019-12-19 08:48:47,052 - Model - INFO - Eval mean loss: 0.954779
2019-12-19 08:48:47,052 - Model - INFO - Eval accuracy: 0.759781
2019-12-19 08:48:47,052 - Model - INFO - **** Epoch 979 (979/1024) ****
2019-12-19 08:48:47,052 - Model - INFO - Learning rate:0.000240
2019-12-19 08:49:06,290 - Model - INFO - Training mean loss: 0.210265
2019-12-19 08:49:06,291 - Model - INFO - Training accuracy: 0.926430
2019-12-19 08:49:06,293 - Model - INFO - ---- EPOCH 979 EVALUATION ----
2019-12-19 08:49:14,804 - Model - INFO - Eval mean loss: 0.873389
2019-12-19 08:49:14,805 - Model - INFO - Eval accuracy: 0.772313
2019-12-19 08:49:14,805 - Model - INFO - **** Epoch 980 (980/1024) ****
2019-12-19 08:49:14,805 - Model - INFO - Learning rate:0.000240
2019-12-19 08:49:33,348 - Model - INFO - Training mean loss: 0.200300
2019-12-19 08:49:33,348 - Model - INFO - Training accuracy: 0.929866
2019-12-19 08:49:33,350 - Model - INFO - ---- EPOCH 980 EVALUATION ----
2019-12-19 08:49:41,898 - Model - INFO - Eval mean loss: 0.828631
2019-12-19 08:49:41,898 - Model - INFO - Eval accuracy: 0.771115
2019-12-19 08:49:41,899 - Model - INFO - **** Epoch 981 (981/1024) ****
2019-12-19 08:49:41,899 - Model - INFO - Learning rate:0.000240
2019-12-19 08:50:01,045 - Model - INFO - Training mean loss: 0.222689
2019-12-19 08:50:01,045 - Model - INFO - Training accuracy: 0.921391
2019-12-19 08:50:01,047 - Model - INFO - ---- EPOCH 981 EVALUATION ----
2019-12-19 08:50:09,727 - Model - INFO - Eval mean loss: 0.807045
2019-12-19 08:50:09,727 - Model - INFO - Eval accuracy: 0.783225
2019-12-19 08:50:09,727 - Model - INFO - ---- EPOCH 981 EVALUATION WHOLE SCENE----
2019-12-19 08:52:30,038 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:52:30,038 - Model - INFO - eval point avg class IoU: 0.186451
2019-12-19 08:52:30,038 - Model - INFO - eval whole scene point accuracy: 0.554671
2019-12-19 08:52:30,038 - Model - INFO - eval whole scene point avg class acc: 0.271118
2019-12-19 08:52:30,038 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.832 
class floor          weight: 0.157, IoU: 0.941 
class wall           weight: 0.278, IoU: 0.421 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.021 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.185 
class sofa           weight: 0.002, IoU: 0.018 
class bookcase       weight: 0.131, IoU: 0.000 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.005 

2019-12-19 08:52:30,038 - Model - INFO - Save model...
2019-12-19 08:52:30,038 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:52:30,106 - Model - INFO - Saving model....
2019-12-19 08:52:30,106 - Model - INFO - **** Epoch 982 (982/1024) ****
2019-12-19 08:52:30,106 - Model - INFO - Learning rate:0.000240
2019-12-19 08:52:48,632 - Model - INFO - Training mean loss: 0.200496
2019-12-19 08:52:48,632 - Model - INFO - Training accuracy: 0.929629
2019-12-19 08:52:48,634 - Model - INFO - ---- EPOCH 982 EVALUATION ----
2019-12-19 08:52:57,245 - Model - INFO - Eval mean loss: 0.973950
2019-12-19 08:52:57,245 - Model - INFO - Eval accuracy: 0.773929
2019-12-19 08:52:57,245 - Model - INFO - **** Epoch 983 (983/1024) ****
2019-12-19 08:52:57,245 - Model - INFO - Learning rate:0.000240
2019-12-19 08:53:16,519 - Model - INFO - Training mean loss: 0.206216
2019-12-19 08:53:16,519 - Model - INFO - Training accuracy: 0.928433
2019-12-19 08:53:16,521 - Model - INFO - ---- EPOCH 983 EVALUATION ----
2019-12-19 08:53:24,980 - Model - INFO - Eval mean loss: 0.937436
2019-12-19 08:53:24,980 - Model - INFO - Eval accuracy: 0.768077
2019-12-19 08:53:24,980 - Model - INFO - **** Epoch 984 (984/1024) ****
2019-12-19 08:53:24,980 - Model - INFO - Learning rate:0.000240
2019-12-19 08:53:44,143 - Model - INFO - Training mean loss: 0.210156
2019-12-19 08:53:44,143 - Model - INFO - Training accuracy: 0.926735
2019-12-19 08:53:44,145 - Model - INFO - ---- EPOCH 984 EVALUATION ----
2019-12-19 08:53:52,896 - Model - INFO - Eval mean loss: 1.185959
2019-12-19 08:53:52,897 - Model - INFO - Eval accuracy: 0.758179
2019-12-19 08:53:52,897 - Model - INFO - **** Epoch 985 (985/1024) ****
2019-12-19 08:53:52,897 - Model - INFO - Learning rate:0.000240
2019-12-19 08:54:13,604 - Model - INFO - Training mean loss: 0.208679
2019-12-19 08:54:13,605 - Model - INFO - Training accuracy: 0.927470
2019-12-19 08:54:13,607 - Model - INFO - ---- EPOCH 985 EVALUATION ----
2019-12-19 08:54:22,284 - Model - INFO - Eval mean loss: 0.984057
2019-12-19 08:54:22,285 - Model - INFO - Eval accuracy: 0.773797
2019-12-19 08:54:22,285 - Model - INFO - **** Epoch 986 (986/1024) ****
2019-12-19 08:54:22,285 - Model - INFO - Learning rate:0.000240
2019-12-19 08:54:41,797 - Model - INFO - Training mean loss: 0.207386
2019-12-19 08:54:41,797 - Model - INFO - Training accuracy: 0.926324
2019-12-19 08:54:41,800 - Model - INFO - ---- EPOCH 986 EVALUATION ----
2019-12-19 08:54:50,424 - Model - INFO - Eval mean loss: 0.835024
2019-12-19 08:54:50,425 - Model - INFO - Eval accuracy: 0.795234
2019-12-19 08:54:50,425 - Model - INFO - ---- EPOCH 986 EVALUATION WHOLE SCENE----
2019-12-19 08:57:10,723 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 08:57:10,723 - Model - INFO - eval point avg class IoU: 0.194258
2019-12-19 08:57:10,723 - Model - INFO - eval whole scene point accuracy: 0.520754
2019-12-19 08:57:10,723 - Model - INFO - eval whole scene point avg class acc: 0.253974
2019-12-19 08:57:10,723 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.828 
class floor          weight: 0.157, IoU: 0.925 
class wall           weight: 0.278, IoU: 0.337 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.003 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.032 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.234 
class sofa           weight: 0.002, IoU: 0.002 
class bookcase       weight: 0.130, IoU: 0.028 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.137 

2019-12-19 08:57:10,723 - Model - INFO - Save model...
2019-12-19 08:57:10,723 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 08:57:10,746 - Model - INFO - Saving model....
2019-12-19 08:57:10,746 - Model - INFO - **** Epoch 987 (987/1024) ****
2019-12-19 08:57:10,746 - Model - INFO - Learning rate:0.000240
2019-12-19 08:57:29,384 - Model - INFO - Training mean loss: 0.221001
2019-12-19 08:57:29,384 - Model - INFO - Training accuracy: 0.922877
2019-12-19 08:57:29,386 - Model - INFO - ---- EPOCH 987 EVALUATION ----
2019-12-19 08:57:38,366 - Model - INFO - Eval mean loss: 0.996552
2019-12-19 08:57:38,367 - Model - INFO - Eval accuracy: 0.775606
2019-12-19 08:57:38,367 - Model - INFO - **** Epoch 988 (988/1024) ****
2019-12-19 08:57:38,367 - Model - INFO - Learning rate:0.000240
2019-12-19 08:57:56,693 - Model - INFO - Training mean loss: 0.195983
2019-12-19 08:57:56,693 - Model - INFO - Training accuracy: 0.930625
2019-12-19 08:57:56,696 - Model - INFO - ---- EPOCH 988 EVALUATION ----
2019-12-19 08:58:05,484 - Model - INFO - Eval mean loss: 0.714883
2019-12-19 08:58:05,484 - Model - INFO - Eval accuracy: 0.799298
2019-12-19 08:58:05,484 - Model - INFO - **** Epoch 989 (989/1024) ****
2019-12-19 08:58:05,484 - Model - INFO - Learning rate:0.000240
2019-12-19 08:58:23,214 - Model - INFO - Training mean loss: 0.217033
2019-12-19 08:58:23,214 - Model - INFO - Training accuracy: 0.926256
2019-12-19 08:58:23,216 - Model - INFO - ---- EPOCH 989 EVALUATION ----
2019-12-19 08:58:31,924 - Model - INFO - Eval mean loss: 1.013709
2019-12-19 08:58:31,925 - Model - INFO - Eval accuracy: 0.744637
2019-12-19 08:58:31,925 - Model - INFO - **** Epoch 990 (990/1024) ****
2019-12-19 08:58:31,925 - Model - INFO - Learning rate:0.000240
2019-12-19 08:58:50,526 - Model - INFO - Training mean loss: 0.218712
2019-12-19 08:58:50,527 - Model - INFO - Training accuracy: 0.923657
2019-12-19 08:58:50,528 - Model - INFO - ---- EPOCH 990 EVALUATION ----
2019-12-19 08:58:59,115 - Model - INFO - Eval mean loss: 0.736642
2019-12-19 08:58:59,115 - Model - INFO - Eval accuracy: 0.784231
2019-12-19 08:58:59,115 - Model - INFO - **** Epoch 991 (991/1024) ****
2019-12-19 08:58:59,115 - Model - INFO - Learning rate:0.000240
2019-12-19 08:59:17,407 - Model - INFO - Training mean loss: 0.197940
2019-12-19 08:59:17,407 - Model - INFO - Training accuracy: 0.927752
2019-12-19 08:59:17,409 - Model - INFO - ---- EPOCH 991 EVALUATION ----
2019-12-19 08:59:26,083 - Model - INFO - Eval mean loss: 0.950225
2019-12-19 08:59:26,083 - Model - INFO - Eval accuracy: 0.773388
2019-12-19 08:59:26,083 - Model - INFO - ---- EPOCH 991 EVALUATION WHOLE SCENE----
2019-12-19 09:01:46,397 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:01:46,397 - Model - INFO - eval point avg class IoU: 0.186380
2019-12-19 09:01:46,398 - Model - INFO - eval whole scene point accuracy: 0.585208
2019-12-19 09:01:46,398 - Model - INFO - eval whole scene point avg class acc: 0.262033
2019-12-19 09:01:46,398 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.846 
class floor          weight: 0.157, IoU: 0.957 
class wall           weight: 0.278, IoU: 0.443 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.038 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.067 
class sofa           weight: 0.002, IoU: 0.015 
class bookcase       weight: 0.130, IoU: 0.032 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.025 

2019-12-19 09:01:46,398 - Model - INFO - Save model...
2019-12-19 09:01:46,398 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:01:46,421 - Model - INFO - Saving model....
2019-12-19 09:01:46,421 - Model - INFO - **** Epoch 992 (992/1024) ****
2019-12-19 09:01:46,421 - Model - INFO - Learning rate:0.000240
2019-12-19 09:02:04,073 - Model - INFO - Training mean loss: 0.208719
2019-12-19 09:02:04,073 - Model - INFO - Training accuracy: 0.927242
2019-12-19 09:02:04,074 - Model - INFO - ---- EPOCH 992 EVALUATION ----
2019-12-19 09:02:12,536 - Model - INFO - Eval mean loss: 0.975051
2019-12-19 09:02:12,536 - Model - INFO - Eval accuracy: 0.763972
2019-12-19 09:02:12,536 - Model - INFO - **** Epoch 993 (993/1024) ****
2019-12-19 09:02:12,536 - Model - INFO - Learning rate:0.000240
2019-12-19 09:02:30,594 - Model - INFO - Training mean loss: 0.202477
2019-12-19 09:02:30,594 - Model - INFO - Training accuracy: 0.928560
2019-12-19 09:02:30,596 - Model - INFO - ---- EPOCH 993 EVALUATION ----
2019-12-19 09:02:39,075 - Model - INFO - Eval mean loss: 0.989685
2019-12-19 09:02:39,075 - Model - INFO - Eval accuracy: 0.769580
2019-12-19 09:02:39,075 - Model - INFO - **** Epoch 994 (994/1024) ****
2019-12-19 09:02:39,075 - Model - INFO - Learning rate:0.000240
2019-12-19 09:02:56,453 - Model - INFO - Training mean loss: 0.190535
2019-12-19 09:02:56,453 - Model - INFO - Training accuracy: 0.932742
2019-12-19 09:02:56,454 - Model - INFO - ---- EPOCH 994 EVALUATION ----
2019-12-19 09:03:04,914 - Model - INFO - Eval mean loss: 0.844124
2019-12-19 09:03:04,915 - Model - INFO - Eval accuracy: 0.770682
2019-12-19 09:03:04,915 - Model - INFO - **** Epoch 995 (995/1024) ****
2019-12-19 09:03:04,915 - Model - INFO - Learning rate:0.000240
2019-12-19 09:03:22,919 - Model - INFO - Training mean loss: 0.226292
2019-12-19 09:03:22,919 - Model - INFO - Training accuracy: 0.920082
2019-12-19 09:03:22,921 - Model - INFO - ---- EPOCH 995 EVALUATION ----
2019-12-19 09:03:31,555 - Model - INFO - Eval mean loss: 0.869136
2019-12-19 09:03:31,556 - Model - INFO - Eval accuracy: 0.764330
2019-12-19 09:03:31,556 - Model - INFO - **** Epoch 996 (996/1024) ****
2019-12-19 09:03:31,556 - Model - INFO - Learning rate:0.000240
2019-12-19 09:03:49,097 - Model - INFO - Training mean loss: 0.210340
2019-12-19 09:03:49,098 - Model - INFO - Training accuracy: 0.927339
2019-12-19 09:03:49,099 - Model - INFO - ---- EPOCH 996 EVALUATION ----
2019-12-19 09:03:57,647 - Model - INFO - Eval mean loss: 0.873786
2019-12-19 09:03:57,647 - Model - INFO - Eval accuracy: 0.771547
2019-12-19 09:03:57,647 - Model - INFO - ---- EPOCH 996 EVALUATION WHOLE SCENE----
2019-12-19 09:06:17,794 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:06:17,794 - Model - INFO - eval point avg class IoU: 0.185929
2019-12-19 09:06:17,794 - Model - INFO - eval whole scene point accuracy: 0.616844
2019-12-19 09:06:17,794 - Model - INFO - eval whole scene point avg class acc: 0.257915
2019-12-19 09:06:17,794 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.826 
class floor          weight: 0.157, IoU: 0.931 
class wall           weight: 0.278, IoU: 0.482 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.024 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.110 
class sofa           weight: 0.002, IoU: 0.015 
class bookcase       weight: 0.130, IoU: 0.003 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.027 

2019-12-19 09:06:17,795 - Model - INFO - Save model...
2019-12-19 09:06:17,795 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:06:17,818 - Model - INFO - Saving model....
2019-12-19 09:06:17,818 - Model - INFO - **** Epoch 997 (997/1024) ****
2019-12-19 09:06:17,818 - Model - INFO - Learning rate:0.000240
2019-12-19 09:06:37,260 - Model - INFO - Training mean loss: 0.215277
2019-12-19 09:06:37,260 - Model - INFO - Training accuracy: 0.923649
2019-12-19 09:06:37,263 - Model - INFO - ---- EPOCH 997 EVALUATION ----
2019-12-19 09:06:45,939 - Model - INFO - Eval mean loss: 0.969184
2019-12-19 09:06:45,940 - Model - INFO - Eval accuracy: 0.754178
2019-12-19 09:06:45,940 - Model - INFO - **** Epoch 998 (998/1024) ****
2019-12-19 09:06:45,940 - Model - INFO - Learning rate:0.000240
2019-12-19 09:07:05,145 - Model - INFO - Training mean loss: 0.217470
2019-12-19 09:07:05,145 - Model - INFO - Training accuracy: 0.925890
2019-12-19 09:07:05,147 - Model - INFO - ---- EPOCH 998 EVALUATION ----
2019-12-19 09:07:13,810 - Model - INFO - Eval mean loss: 0.726064
2019-12-19 09:07:13,810 - Model - INFO - Eval accuracy: 0.783808
2019-12-19 09:07:13,810 - Model - INFO - **** Epoch 999 (999/1024) ****
2019-12-19 09:07:13,810 - Model - INFO - Learning rate:0.000240
2019-12-19 09:07:32,727 - Model - INFO - Training mean loss: 0.208810
2019-12-19 09:07:32,727 - Model - INFO - Training accuracy: 0.924737
2019-12-19 09:07:32,728 - Model - INFO - ---- EPOCH 999 EVALUATION ----
2019-12-19 09:07:41,709 - Model - INFO - Eval mean loss: 1.118465
2019-12-19 09:07:41,709 - Model - INFO - Eval accuracy: 0.777530
2019-12-19 09:07:41,709 - Model - INFO - **** Epoch 1000 (1000/1024) ****
2019-12-19 09:07:41,709 - Model - INFO - Learning rate:0.000240
2019-12-19 09:07:58,934 - Model - INFO - Training mean loss: 0.198447
2019-12-19 09:07:58,935 - Model - INFO - Training accuracy: 0.930770
2019-12-19 09:07:58,937 - Model - INFO - ---- EPOCH 1000 EVALUATION ----
2019-12-19 09:08:08,167 - Model - INFO - Eval mean loss: 0.996348
2019-12-19 09:08:08,167 - Model - INFO - Eval accuracy: 0.777334
2019-12-19 09:08:08,167 - Model - INFO - **** Epoch 1001 (1001/1024) ****
2019-12-19 09:08:08,168 - Model - INFO - Learning rate:0.000168
2019-12-19 09:08:27,446 - Model - INFO - Training mean loss: 0.213240
2019-12-19 09:08:27,446 - Model - INFO - Training accuracy: 0.927993
2019-12-19 09:08:27,448 - Model - INFO - ---- EPOCH 1001 EVALUATION ----
2019-12-19 09:08:36,190 - Model - INFO - Eval mean loss: 0.787048
2019-12-19 09:08:36,191 - Model - INFO - Eval accuracy: 0.778848
2019-12-19 09:08:36,191 - Model - INFO - ---- EPOCH 1001 EVALUATION WHOLE SCENE----
2019-12-19 09:10:56,544 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:10:56,544 - Model - INFO - eval point avg class IoU: 0.197853
2019-12-19 09:10:56,544 - Model - INFO - eval whole scene point accuracy: 0.603388
2019-12-19 09:10:56,544 - Model - INFO - eval whole scene point avg class acc: 0.270941
2019-12-19 09:10:56,545 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.841 
class floor          weight: 0.157, IoU: 0.922 
class wall           weight: 0.278, IoU: 0.474 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.012 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.252 
class sofa           weight: 0.002, IoU: 0.016 
class bookcase       weight: 0.131, IoU: 0.002 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.087, IoU: 0.053 

2019-12-19 09:10:56,545 - Model - INFO - Save model...
2019-12-19 09:10:56,545 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:10:56,568 - Model - INFO - Saving model....
2019-12-19 09:10:56,568 - Model - INFO - **** Epoch 1002 (1002/1024) ****
2019-12-19 09:10:56,568 - Model - INFO - Learning rate:0.000168
2019-12-19 09:11:13,811 - Model - INFO - Training mean loss: 0.212893
2019-12-19 09:11:13,811 - Model - INFO - Training accuracy: 0.923665
2019-12-19 09:11:13,812 - Model - INFO - ---- EPOCH 1002 EVALUATION ----
2019-12-19 09:11:22,525 - Model - INFO - Eval mean loss: 0.793286
2019-12-19 09:11:22,525 - Model - INFO - Eval accuracy: 0.783052
2019-12-19 09:11:22,525 - Model - INFO - **** Epoch 1003 (1003/1024) ****
2019-12-19 09:11:22,525 - Model - INFO - Learning rate:0.000168
2019-12-19 09:11:41,555 - Model - INFO - Training mean loss: 0.211038
2019-12-19 09:11:41,556 - Model - INFO - Training accuracy: 0.928482
2019-12-19 09:11:41,558 - Model - INFO - ---- EPOCH 1003 EVALUATION ----
2019-12-19 09:11:50,198 - Model - INFO - Eval mean loss: 0.787539
2019-12-19 09:11:50,198 - Model - INFO - Eval accuracy: 0.773181
2019-12-19 09:11:50,198 - Model - INFO - **** Epoch 1004 (1004/1024) ****
2019-12-19 09:11:50,198 - Model - INFO - Learning rate:0.000168
2019-12-19 09:12:07,818 - Model - INFO - Training mean loss: 0.211304
2019-12-19 09:12:07,818 - Model - INFO - Training accuracy: 0.923638
2019-12-19 09:12:07,820 - Model - INFO - ---- EPOCH 1004 EVALUATION ----
2019-12-19 09:12:16,490 - Model - INFO - Eval mean loss: 0.873128
2019-12-19 09:12:16,491 - Model - INFO - Eval accuracy: 0.781002
2019-12-19 09:12:16,491 - Model - INFO - **** Epoch 1005 (1005/1024) ****
2019-12-19 09:12:16,491 - Model - INFO - Learning rate:0.000168
2019-12-19 09:12:35,037 - Model - INFO - Training mean loss: 0.199153
2019-12-19 09:12:35,037 - Model - INFO - Training accuracy: 0.929626
2019-12-19 09:12:35,040 - Model - INFO - ---- EPOCH 1005 EVALUATION ----
2019-12-19 09:12:43,701 - Model - INFO - Eval mean loss: 0.921748
2019-12-19 09:12:43,701 - Model - INFO - Eval accuracy: 0.781123
2019-12-19 09:12:43,701 - Model - INFO - **** Epoch 1006 (1006/1024) ****
2019-12-19 09:12:43,701 - Model - INFO - Learning rate:0.000168
2019-12-19 09:13:03,572 - Model - INFO - Training mean loss: 0.210121
2019-12-19 09:13:03,572 - Model - INFO - Training accuracy: 0.925531
2019-12-19 09:13:03,575 - Model - INFO - ---- EPOCH 1006 EVALUATION ----
2019-12-19 09:13:12,327 - Model - INFO - Eval mean loss: 0.850979
2019-12-19 09:13:12,328 - Model - INFO - Eval accuracy: 0.775311
2019-12-19 09:13:12,328 - Model - INFO - ---- EPOCH 1006 EVALUATION WHOLE SCENE----
2019-12-19 09:15:32,441 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:15:32,442 - Model - INFO - eval point avg class IoU: 0.203936
2019-12-19 09:15:32,442 - Model - INFO - eval whole scene point accuracy: 0.642374
2019-12-19 09:15:32,442 - Model - INFO - eval whole scene point avg class acc: 0.274154
2019-12-19 09:15:32,442 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.817 
class floor          weight: 0.157, IoU: 0.937 
class wall           weight: 0.278, IoU: 0.527 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.007 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.247 
class sofa           weight: 0.002, IoU: 0.016 
class bookcase       weight: 0.131, IoU: 0.000 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.101 

2019-12-19 09:15:32,442 - Model - INFO - Save model...
2019-12-19 09:15:32,442 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:15:32,465 - Model - INFO - Saving model....
2019-12-19 09:15:32,465 - Model - INFO - **** Epoch 1007 (1007/1024) ****
2019-12-19 09:15:32,465 - Model - INFO - Learning rate:0.000168
2019-12-19 09:15:51,059 - Model - INFO - Training mean loss: 0.203321
2019-12-19 09:15:51,059 - Model - INFO - Training accuracy: 0.926353
2019-12-19 09:15:51,062 - Model - INFO - ---- EPOCH 1007 EVALUATION ----
2019-12-19 09:15:59,871 - Model - INFO - Eval mean loss: 0.953630
2019-12-19 09:15:59,871 - Model - INFO - Eval accuracy: 0.768455
2019-12-19 09:15:59,872 - Model - INFO - **** Epoch 1008 (1008/1024) ****
2019-12-19 09:15:59,872 - Model - INFO - Learning rate:0.000168
2019-12-19 09:16:18,400 - Model - INFO - Training mean loss: 0.186350
2019-12-19 09:16:18,401 - Model - INFO - Training accuracy: 0.933149
2019-12-19 09:16:18,403 - Model - INFO - ---- EPOCH 1008 EVALUATION ----
2019-12-19 09:16:27,202 - Model - INFO - Eval mean loss: 0.922105
2019-12-19 09:16:27,202 - Model - INFO - Eval accuracy: 0.773432
2019-12-19 09:16:27,202 - Model - INFO - **** Epoch 1009 (1009/1024) ****
2019-12-19 09:16:27,202 - Model - INFO - Learning rate:0.000168
2019-12-19 09:16:44,766 - Model - INFO - Training mean loss: 0.193730
2019-12-19 09:16:44,766 - Model - INFO - Training accuracy: 0.932514
2019-12-19 09:16:44,767 - Model - INFO - ---- EPOCH 1009 EVALUATION ----
2019-12-19 09:16:53,172 - Model - INFO - Eval mean loss: 0.824049
2019-12-19 09:16:53,172 - Model - INFO - Eval accuracy: 0.785273
2019-12-19 09:16:53,172 - Model - INFO - **** Epoch 1010 (1010/1024) ****
2019-12-19 09:16:53,172 - Model - INFO - Learning rate:0.000168
2019-12-19 09:17:12,114 - Model - INFO - Training mean loss: 0.213857
2019-12-19 09:17:12,114 - Model - INFO - Training accuracy: 0.923013
2019-12-19 09:17:12,117 - Model - INFO - ---- EPOCH 1010 EVALUATION ----
2019-12-19 09:17:20,783 - Model - INFO - Eval mean loss: 0.819711
2019-12-19 09:17:20,784 - Model - INFO - Eval accuracy: 0.779278
2019-12-19 09:17:20,784 - Model - INFO - **** Epoch 1011 (1011/1024) ****
2019-12-19 09:17:20,784 - Model - INFO - Learning rate:0.000168
2019-12-19 09:17:39,425 - Model - INFO - Training mean loss: 0.211810
2019-12-19 09:17:39,426 - Model - INFO - Training accuracy: 0.922777
2019-12-19 09:17:39,429 - Model - INFO - ---- EPOCH 1011 EVALUATION ----
2019-12-19 09:17:48,220 - Model - INFO - Eval mean loss: 0.942216
2019-12-19 09:17:48,220 - Model - INFO - Eval accuracy: 0.771534
2019-12-19 09:17:48,220 - Model - INFO - ---- EPOCH 1011 EVALUATION WHOLE SCENE----
2019-12-19 09:20:08,548 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:20:08,548 - Model - INFO - eval point avg class IoU: 0.198632
2019-12-19 09:20:08,548 - Model - INFO - eval whole scene point accuracy: 0.616348
2019-12-19 09:20:08,548 - Model - INFO - eval whole scene point avg class acc: 0.261132
2019-12-19 09:20:08,548 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.813 
class floor          weight: 0.157, IoU: 0.939 
class wall           weight: 0.278, IoU: 0.487 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.016 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.169 
class sofa           weight: 0.002, IoU: 0.024 
class bookcase       weight: 0.131, IoU: 0.007 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.127 

2019-12-19 09:20:08,549 - Model - INFO - Save model...
2019-12-19 09:20:08,549 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:20:08,572 - Model - INFO - Saving model....
2019-12-19 09:20:08,572 - Model - INFO - **** Epoch 1012 (1012/1024) ****
2019-12-19 09:20:08,572 - Model - INFO - Learning rate:0.000168
2019-12-19 09:20:27,665 - Model - INFO - Training mean loss: 0.208210
2019-12-19 09:20:27,665 - Model - INFO - Training accuracy: 0.929472
2019-12-19 09:20:27,667 - Model - INFO - ---- EPOCH 1012 EVALUATION ----
2019-12-19 09:20:36,273 - Model - INFO - Eval mean loss: 0.953234
2019-12-19 09:20:36,273 - Model - INFO - Eval accuracy: 0.768231
2019-12-19 09:20:36,274 - Model - INFO - **** Epoch 1013 (1013/1024) ****
2019-12-19 09:20:36,274 - Model - INFO - Learning rate:0.000168
2019-12-19 09:20:54,264 - Model - INFO - Training mean loss: 0.220153
2019-12-19 09:20:54,265 - Model - INFO - Training accuracy: 0.922519
2019-12-19 09:20:54,267 - Model - INFO - ---- EPOCH 1013 EVALUATION ----
2019-12-19 09:21:02,938 - Model - INFO - Eval mean loss: 0.669148
2019-12-19 09:21:02,938 - Model - INFO - Eval accuracy: 0.788164
2019-12-19 09:21:02,938 - Model - INFO - **** Epoch 1014 (1014/1024) ****
2019-12-19 09:21:02,938 - Model - INFO - Learning rate:0.000168
2019-12-19 09:21:21,263 - Model - INFO - Training mean loss: 0.196385
2019-12-19 09:21:21,264 - Model - INFO - Training accuracy: 0.929483
2019-12-19 09:21:21,266 - Model - INFO - ---- EPOCH 1014 EVALUATION ----
2019-12-19 09:21:30,083 - Model - INFO - Eval mean loss: 0.707773
2019-12-19 09:21:30,083 - Model - INFO - Eval accuracy: 0.789749
2019-12-19 09:21:30,084 - Model - INFO - **** Epoch 1015 (1015/1024) ****
2019-12-19 09:21:30,084 - Model - INFO - Learning rate:0.000168
2019-12-19 09:21:47,259 - Model - INFO - Training mean loss: 0.194663
2019-12-19 09:21:47,260 - Model - INFO - Training accuracy: 0.931607
2019-12-19 09:21:47,261 - Model - INFO - ---- EPOCH 1015 EVALUATION ----
2019-12-19 09:21:55,907 - Model - INFO - Eval mean loss: 0.939538
2019-12-19 09:21:55,908 - Model - INFO - Eval accuracy: 0.769608
2019-12-19 09:21:55,908 - Model - INFO - **** Epoch 1016 (1016/1024) ****
2019-12-19 09:21:55,908 - Model - INFO - Learning rate:0.000168
2019-12-19 09:22:14,962 - Model - INFO - Training mean loss: 0.209859
2019-12-19 09:22:14,962 - Model - INFO - Training accuracy: 0.925025
2019-12-19 09:22:14,965 - Model - INFO - ---- EPOCH 1016 EVALUATION ----
2019-12-19 09:22:23,657 - Model - INFO - Eval mean loss: 0.960441
2019-12-19 09:22:23,657 - Model - INFO - Eval accuracy: 0.753187
2019-12-19 09:22:23,657 - Model - INFO - ---- EPOCH 1016 EVALUATION WHOLE SCENE----
2019-12-19 09:24:45,728 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:24:45,728 - Model - INFO - eval point avg class IoU: 0.196397
2019-12-19 09:24:45,728 - Model - INFO - eval whole scene point accuracy: 0.599331
2019-12-19 09:24:45,728 - Model - INFO - eval whole scene point avg class acc: 0.253651
2019-12-19 09:24:45,728 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.852 
class floor          weight: 0.157, IoU: 0.937 
class wall           weight: 0.278, IoU: 0.465 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.015, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.015 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.166 
class sofa           weight: 0.002, IoU: 0.013 
class bookcase       weight: 0.130, IoU: 0.001 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.104 

2019-12-19 09:24:45,729 - Model - INFO - Save model...
2019-12-19 09:24:45,729 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:24:45,752 - Model - INFO - Saving model....
2019-12-19 09:24:45,752 - Model - INFO - **** Epoch 1017 (1017/1024) ****
2019-12-19 09:24:45,752 - Model - INFO - Learning rate:0.000168
2019-12-19 09:25:02,807 - Model - INFO - Training mean loss: 0.189296
2019-12-19 09:25:02,807 - Model - INFO - Training accuracy: 0.930200
2019-12-19 09:25:02,809 - Model - INFO - ---- EPOCH 1017 EVALUATION ----
2019-12-19 09:25:11,293 - Model - INFO - Eval mean loss: 0.907925
2019-12-19 09:25:11,293 - Model - INFO - Eval accuracy: 0.779239
2019-12-19 09:25:11,293 - Model - INFO - **** Epoch 1018 (1018/1024) ****
2019-12-19 09:25:11,293 - Model - INFO - Learning rate:0.000168
2019-12-19 09:25:30,648 - Model - INFO - Training mean loss: 0.226724
2019-12-19 09:25:30,648 - Model - INFO - Training accuracy: 0.919442
2019-12-19 09:25:30,649 - Model - INFO - ---- EPOCH 1018 EVALUATION ----
2019-12-19 09:25:39,097 - Model - INFO - Eval mean loss: 0.965706
2019-12-19 09:25:39,097 - Model - INFO - Eval accuracy: 0.754637
2019-12-19 09:25:39,097 - Model - INFO - **** Epoch 1019 (1019/1024) ****
2019-12-19 09:25:39,097 - Model - INFO - Learning rate:0.000168
2019-12-19 09:25:57,866 - Model - INFO - Training mean loss: 0.198694
2019-12-19 09:25:57,866 - Model - INFO - Training accuracy: 0.929695
2019-12-19 09:25:57,868 - Model - INFO - ---- EPOCH 1019 EVALUATION ----
2019-12-19 09:26:06,487 - Model - INFO - Eval mean loss: 0.820065
2019-12-19 09:26:06,488 - Model - INFO - Eval accuracy: 0.794184
2019-12-19 09:26:06,488 - Model - INFO - **** Epoch 1020 (1020/1024) ****
2019-12-19 09:26:06,488 - Model - INFO - Learning rate:0.000168
2019-12-19 09:26:24,644 - Model - INFO - Training mean loss: 0.205295
2019-12-19 09:26:24,644 - Model - INFO - Training accuracy: 0.927199
2019-12-19 09:26:24,645 - Model - INFO - ---- EPOCH 1020 EVALUATION ----
2019-12-19 09:26:33,158 - Model - INFO - Eval mean loss: 0.843020
2019-12-19 09:26:33,159 - Model - INFO - Eval accuracy: 0.775597
2019-12-19 09:26:33,159 - Model - INFO - **** Epoch 1021 (1021/1024) ****
2019-12-19 09:26:33,159 - Model - INFO - Learning rate:0.000168
2019-12-19 09:26:51,370 - Model - INFO - Training mean loss: 0.207900
2019-12-19 09:26:51,370 - Model - INFO - Training accuracy: 0.925398
2019-12-19 09:26:51,371 - Model - INFO - ---- EPOCH 1021 EVALUATION ----
2019-12-19 09:26:59,841 - Model - INFO - Eval mean loss: 0.832671
2019-12-19 09:26:59,842 - Model - INFO - Eval accuracy: 0.780063
2019-12-19 09:26:59,842 - Model - INFO - ---- EPOCH 1021 EVALUATION WHOLE SCENE----
2019-12-19 09:29:21,036 - Model - INFO - eval whole scene mean loss: 0.000000
2019-12-19 09:29:21,036 - Model - INFO - eval point avg class IoU: 0.182022
2019-12-19 09:29:21,036 - Model - INFO - eval whole scene point accuracy: 0.516852
2019-12-19 09:29:21,036 - Model - INFO - eval whole scene point avg class acc: 0.258035
2019-12-19 09:29:21,037 - Model - INFO - ------- IoU --------
class ceiling        weight: 0.195, IoU: 0.844 
class floor          weight: 0.157, IoU: 0.946 
class wall           weight: 0.278, IoU: 0.344 
class beam           weight: 0.000, IoU: 0.000 
class column         weight: 0.016, IoU: 0.000 
class window         weight: 0.026, IoU: 0.000 
class door           weight: 0.036, IoU: 0.035 
class table          weight: 0.038, IoU: 0.000 
class chair          weight: 0.020, IoU: 0.069 
class sofa           weight: 0.002, IoU: 0.018 
class bookcase       weight: 0.131, IoU: 0.020 
class board          weight: 0.014, IoU: 0.000 
class clutter        weight: 0.088, IoU: 0.090 

2019-12-19 09:29:21,037 - Model - INFO - Save model...
2019-12-19 09:29:21,037 - Model - INFO - Saving at log/sem_seg/pointnet2_sem_seg/checkpoints/best_model.pth
2019-12-19 09:29:21,087 - Model - INFO - Saving model....
2019-12-19 09:29:21,087 - Model - INFO - **** Epoch 1022 (1022/1024) ****
2019-12-19 09:29:21,088 - Model - INFO - Learning rate:0.000168
2019-12-19 09:29:40,522 - Model - INFO - Training mean loss: 0.205399
2019-12-19 09:29:40,523 - Model - INFO - Training accuracy: 0.924933
2019-12-19 09:29:40,524 - Model - INFO - ---- EPOCH 1022 EVALUATION ----
2019-12-19 09:29:49,095 - Model - INFO - Eval mean loss: 0.817164
2019-12-19 09:29:49,095 - Model - INFO - Eval accuracy: 0.783203
2019-12-19 09:29:49,095 - Model - INFO - **** Epoch 1023 (1023/1024) ****
2019-12-19 09:29:49,095 - Model - INFO - Learning rate:0.000168
2019-12-19 09:30:08,119 - Model - INFO - Training mean loss: 0.197762
2019-12-19 09:30:08,119 - Model - INFO - Training accuracy: 0.930528
2019-12-19 09:30:08,121 - Model - INFO - ---- EPOCH 1023 EVALUATION ----
2019-12-19 09:30:16,829 - Model - INFO - Eval mean loss: 0.701307
2019-12-19 09:30:16,830 - Model - INFO - Eval accuracy: 0.789951
2019-12-19 09:30:16,830 - Model - INFO - **** Epoch 1024 (1024/1024) ****
2019-12-19 09:30:16,830 - Model - INFO - Learning rate:0.000168
2019-12-19 09:30:35,420 - Model - INFO - Training mean loss: 0.210051
2019-12-19 09:30:35,421 - Model - INFO - Training accuracy: 0.926038
2019-12-19 09:30:35,423 - Model - INFO - ---- EPOCH 1024 EVALUATION ----
2019-12-19 09:30:44,242 - Model - INFO - Eval mean loss: 0.685748
2019-12-19 09:30:44,242 - Model - INFO - Eval accuracy: 0.801522