Namespace(batch_size=24, decay_rate=0.5, decay_step=300000, gpu=0, learning_rate=0.001, log_dir='log', max_epoch=50, momentum=0.9, num_point=4096, optimizer='adam', test_area=3)
**** EPOCH 000 ****
----
mean loss: 0.600047
accuracy: 0.761275
----
eval mean loss: 0.470704
eval accuracy: 0.805627
eval avg class acc: 0.665427
Model saved in file: log/model.ckpt
**** EPOCH 001 ****
----
mean loss: 0.463951
accuracy: 0.808394
----
eval mean loss: 0.415976
eval accuracy: 0.823237
eval avg class acc: 0.699045
**** EPOCH 002 ****
----
mean loss: 0.427014
accuracy: 0.821220
----
eval mean loss: 0.398381
eval accuracy: 0.830924
eval avg class acc: 0.725262
**** EPOCH 003 ****
----
mean loss: 0.397933
accuracy: 0.830762
----
eval mean loss: 0.367833
eval accuracy: 0.840143
eval avg class acc: 0.743004
**** EPOCH 004 ****
----
mean loss: 0.381517
accuracy: 0.835720
----
eval mean loss: 0.358108
eval accuracy: 0.843050
eval avg class acc: 0.741289
**** EPOCH 005 ****
----
mean loss: 0.365495
accuracy: 0.840818
----
eval mean loss: 0.377323
eval accuracy: 0.839253
eval avg class acc: 0.739933
**** EPOCH 006 ****
----
mean loss: 0.357058
accuracy: 0.843534
----
eval mean loss: 0.331575
eval accuracy: 0.851519
eval avg class acc: 0.760146
**** EPOCH 007 ****
----
mean loss: 0.346531
accuracy: 0.846959
----
eval mean loss: 0.332565
eval accuracy: 0.850628
eval avg class acc: 0.765116
**** EPOCH 008 ****
----
mean loss: 0.339355
accuracy: 0.849335
----
eval mean loss: 0.321928
eval accuracy: 0.854731
eval avg class acc: 0.766040
**** EPOCH 009 ****
----
mean loss: 0.333297
accuracy: 0.851489
----
eval mean loss: 0.337919
eval accuracy: 0.846873
eval avg class acc: 0.773013
**** EPOCH 010 ****
----
mean loss: 0.326738
accuracy: 0.853778
----
eval mean loss: 0.309096
eval accuracy: 0.858659
eval avg class acc: 0.781378
Model saved in file: log/model.ckpt
**** EPOCH 011 ****
----
mean loss: 0.321613
accuracy: 0.855711
----
eval mean loss: 0.300340
eval accuracy: 0.863955
eval avg class acc: 0.785079
**** EPOCH 012 ****
----
mean loss: 0.317350
accuracy: 0.857394
----
eval mean loss: 0.292703
eval accuracy: 0.866513
eval avg class acc: 0.790944
**** EPOCH 013 ****
----
mean loss: 0.314040
accuracy: 0.858750
----
eval mean loss: 0.296263
eval accuracy: 0.866196
eval avg class acc: 0.796031
**** EPOCH 014 ****
----
mean loss: 0.310130
accuracy: 0.860224
----
eval mean loss: 0.301837
eval accuracy: 0.862581
eval avg class acc: 0.793600
**** EPOCH 015 ****
----
mean loss: 0.306140
accuracy: 0.861978
----
eval mean loss: 0.291163
eval accuracy: 0.868819
eval avg class acc: 0.805041
**** EPOCH 016 ****
----
mean loss: 0.302347
accuracy: 0.863422
----
eval mean loss: 0.274359
eval accuracy: 0.877930
eval avg class acc: 0.820827
**** EPOCH 017 ****
----
mean loss: 0.285642
accuracy: 0.870720
----
eval mean loss: 0.261883
eval accuracy: 0.880056
eval avg class acc: 0.821587
**** EPOCH 018 ****
----
mean loss: 0.282951
accuracy: 0.871804
----
eval mean loss: 0.260436
eval accuracy: 0.881511
eval avg class acc: 0.822685
**** EPOCH 019 ****
----
mean loss: 0.281479
accuracy: 0.872585
----
eval mean loss: 0.261700
eval accuracy: 0.878304
eval avg class acc: 0.813442
**** EPOCH 020 ****
----
mean loss: 0.279243
accuracy: 0.873722
----
eval mean loss: 0.258075
eval accuracy: 0.884947
eval avg class acc: 0.832270
Model saved in file: log/model.ckpt
**** EPOCH 021 ****
----
mean loss: 0.277307
accuracy: 0.874535
----
eval mean loss: 0.253355
eval accuracy: 0.883284
eval avg class acc: 0.824382
**** EPOCH 022 ****
----
mean loss: 0.274823
accuracy: 0.875688
----
eval mean loss: 0.249680
eval accuracy: 0.888176
eval avg class acc: 0.836095
**** EPOCH 023 ****
----
mean loss: 0.273849
accuracy: 0.876124
----
eval mean loss: 0.258084
eval accuracy: 0.880317
eval avg class acc: 0.817526
**** EPOCH 024 ****
----
mean loss: 0.272457
accuracy: 0.876820
----
eval mean loss: 0.252852
eval accuracy: 0.881108
eval avg class acc: 0.818065
**** EPOCH 025 ****
----
mean loss: 0.271225
accuracy: 0.877295
----
eval mean loss: 0.250013
eval accuracy: 0.888689
eval avg class acc: 0.840153
**** EPOCH 026 ****
----
mean loss: 0.269924
accuracy: 0.877997
----
eval mean loss: 0.243507
eval accuracy: 0.887544
eval avg class acc: 0.831526
**** EPOCH 027 ****
----
mean loss: 0.268502
accuracy: 0.878605
----
eval mean loss: 0.242463
eval accuracy: 0.889231
eval avg class acc: 0.834320
**** EPOCH 028 ****
----
mean loss: 0.267374
accuracy: 0.879102
----
eval mean loss: 0.243687
eval accuracy: 0.890271
eval avg class acc: 0.839136
**** EPOCH 029 ****
----
mean loss: 0.266239
accuracy: 0.879581
----
eval mean loss: 0.241400
eval accuracy: 0.890148
eval avg class acc: 0.837265
**** EPOCH 030 ****
----
mean loss: 0.265165
accuracy: 0.880094
----
eval mean loss: 0.242190
eval accuracy: 0.892328
eval avg class acc: 0.848334
Model saved in file: log/model.ckpt
**** EPOCH 031 ****
----
mean loss: 0.264637
accuracy: 0.880407
----
eval mean loss: 0.242955
eval accuracy: 0.886482
eval avg class acc: 0.828702
**** EPOCH 032 ****
----
mean loss: 0.262536
accuracy: 0.881329
----
eval mean loss: 0.243933
eval accuracy: 0.886012
eval avg class acc: 0.827584
**** EPOCH 033 ****
----
mean loss: 0.262265
accuracy: 0.881538
----
eval mean loss: 0.231039
eval accuracy: 0.895111
eval avg class acc: 0.846318
**** EPOCH 034 ****
----
mean loss: 0.252364
accuracy: 0.886339
----
eval mean loss: 0.230388
eval accuracy: 0.894352
eval avg class acc: 0.843435
**** EPOCH 035 ****
----
mean loss: 0.251925
accuracy: 0.886558
----
eval mean loss: 0.227584
eval accuracy: 0.896963
eval avg class acc: 0.848880
**** EPOCH 036 ****
----
mean loss: 0.250500
accuracy: 0.887254
----
eval mean loss: 0.225889
eval accuracy: 0.896937
eval avg class acc: 0.847454
**** EPOCH 037 ****
----
mean loss: 0.249779
accuracy: 0.887527
----
eval mean loss: 0.224527
eval accuracy: 0.897354
eval avg class acc: 0.849027
**** EPOCH 038 ****
----
mean loss: 0.249479
accuracy: 0.887626
----
eval mean loss: 0.225071
eval accuracy: 0.897126
eval avg class acc: 0.846953
**** EPOCH 039 ****
----
mean loss: 0.249177
accuracy: 0.887848
----
eval mean loss: 0.224406
eval accuracy: 0.896783
eval avg class acc: 0.846948
**** EPOCH 040 ****
----
mean loss: 0.247533
accuracy: 0.888666
----
eval mean loss: 0.230713
eval accuracy: 0.892575
eval avg class acc: 0.838733
Model saved in file: log/model.ckpt
**** EPOCH 041 ****
----
mean loss: 0.247214
accuracy: 0.888922
----
eval mean loss: 0.220360
eval accuracy: 0.900344
eval avg class acc: 0.853334
**** EPOCH 042 ****
----
mean loss: 0.246653
accuracy: 0.889056
----
eval mean loss: 0.223256
eval accuracy: 0.897651
eval avg class acc: 0.847726
**** EPOCH 043 ****
----
mean loss: 0.245964
accuracy: 0.889457
----
eval mean loss: 0.220521
eval accuracy: 0.901014
eval avg class acc: 0.856931
**** EPOCH 044 ****
----
mean loss: 0.245391
accuracy: 0.889621
----
eval mean loss: 0.221471
eval accuracy: 0.898001
eval avg class acc: 0.848683
**** EPOCH 045 ****
----
mean loss: 0.245246
accuracy: 0.889774
----
eval mean loss: 0.217507
eval accuracy: 0.903039
eval avg class acc: 0.859350
**** EPOCH 046 ****
----
mean loss: 0.245333
accuracy: 0.889724
----
eval mean loss: 0.220961
eval accuracy: 0.897895
eval avg class acc: 0.847603
**** EPOCH 047 ****
----
mean loss: 0.243771
accuracy: 0.890426
----
eval mean loss: 0.220615
eval accuracy: 0.900102
eval avg class acc: 0.851724
**** EPOCH 048 ****
----
mean loss: 0.244431
accuracy: 0.890192
----
eval mean loss: 0.218082
eval accuracy: 0.900134
eval avg class acc: 0.852026
**** EPOCH 049 ****
----
mean loss: 0.243286
accuracy: 0.890751
----
eval mean loss: 0.215971
eval accuracy: 0.904490
eval avg class acc: 0.866246