{'model_name': 'exp49_decoder14', 'model_type': 'experimental2', 'num_classes': 19, 'ignore_value': 255, 'pretrained_backbone': False, 'epochs': 500, 'max_epochs': 500, 'resume': False, 'lr': 0.05, 'momentum': 0.9, 'weight_decay': 0.0001, 'class_weight': None, 'bn_weight_decay': False, 'bn_precise_stats': False, 'bn_precise_num_samples': 600, 'lr_scheduler': 'poly', 'poly_power': 0.9, 'warmup_iters': 3000, 'warmup_factor': 0.1, 'mixed_precision': True, 'runs': 1, 'run': 1, 'RNG_seed': 0, 'loss_type': 'cross_entropy', 'eval_while_train': True, 'exclude_classes': [16], 'warmup_iter': 10, 'num_iter': 100, 'benchmark_loader': True, 'benchmark_model': True, 'dataset_name': 'cityscapes', 'dataset_dir': 'cityscapes_dataset_half', 'batch_size': 8, 'train_min_size': 400, 'train_max_size': 1600, 'train_crop_size': [512, 1024], 'val_size': 1024, 'aug_mode': 'custom3', 'resize_mode': 'uniform', 'edge_aware_crop': False, 'boost_rare_classes': False, 'num_workers': 4, 'class_uniform_pct': 0.5, 'train_split': 'train', 'val_split': 'val', 'max_eval': 600, 'validate_train_loader': False, 'eval_print_every': 10000, 'train_print_every': 10000, 'pretrained_path': '', 'save_every_k_epochs': 25, 'save_last_k_epochs': 20, 'save_dir': 'checkpoints', 'log_dir': 'training_log', 'save_name': 'cityscapes_exp49_decoder14_500_epochs_400_1600_resize_512_1024_crop_fair', 'save_best_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_512_1024_crop_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_512_1024_crop_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_512_1024_crop_fair_latest', 'log_path': 'training_log/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_512_1024_crop_fair_log.txt'}
run: 1
epoch: 0
loss: 1.294136947216692
IOU: [78.89, 7.38, 49.47, 0.0, 0.0, 0.0, 0.0, 0.0, 52.96, 6.99, 62.44, 0.0, 0.0, 35.67, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 15.46, mIOU_reduced: 16.32, accuracy: 71.31
epoch: 1
loss: 0.9566055280821664
epoch: 2
loss: 0.8305685176360961
epoch: 3
loss: 0.7595634552025088
epoch: 4
loss: 0.6838109106066413
epoch: 5
loss: 0.6329987207352312
epoch: 6
loss: 0.6146494063405656
epoch: 7
loss: 0.5748703168890869
epoch: 8
loss: 0.534659548348815
epoch: 9
loss: 0.5120387023510637
epoch: 10
loss: 0.4961050490163407
epoch: 11
loss: 0.4658418742794232
epoch: 12
loss: 0.47661275643544054
epoch: 13
loss: 0.42928943556113386
epoch: 14
loss: 0.4666901830875006
epoch: 15
loss: 0.41475225635615964
epoch: 16
loss: 0.404181578128807
epoch: 17
loss: 0.3965252298470135
epoch: 18
loss: 0.405115769116705
epoch: 19
loss: 0.3771314117706047
epoch: 20
loss: 0.3739089392667832
epoch: 21
loss: 0.4141026413986946
epoch: 22
loss: 0.36304776229948366
epoch: 23
loss: 0.37913659516209863
epoch: 24
loss: 0.3484251098330773
IOU: [95.87, 68.84, 82.83, 27.33, 27.42, 39.46, 26.23, 35.54, 85.78, 45.87, 88.59, 56.95, 18.01, 81.4, 22.87, 40.64, 23.87, 8.39, 50.1]
mIOU: 48.74, mIOU_reduced: 50.12, accuracy: 90.85
epoch: 25
loss: 0.34669688339985283
epoch: 26
loss: 0.3497691270556411
epoch: 27
loss: 0.35074872834823845
epoch: 28
loss: 0.33632807429588707
epoch: 29
loss: 0.33348381993262916
epoch: 30
loss: 0.3137623852475313
epoch: 31
loss: 0.3496322064306537
epoch: 32
loss: 0.3545688049330544
epoch: 33
loss: 0.32991998098449243
epoch: 34
loss: 0.3120236699632557
epoch: 35
loss: 0.32165354397900986
epoch: 36
loss: 0.31516797015207476
epoch: 37
loss: 0.32606977858954683
epoch: 38
loss: 0.31533062775340687
epoch: 39
loss: 0.32199455841853614
epoch: 40
loss: 0.3082436066110822
epoch: 41
loss: 0.31133816156265226
epoch: 42
loss: 0.3013614618553306
epoch: 43
loss: 0.31651524508577794
epoch: 44
loss: 0.2987006733600663
epoch: 45
loss: 0.3040604293346405
epoch: 46
loss: 0.2859110635004918
epoch: 47
loss: 0.337564921202364
epoch: 48
loss: 0.3114194459911948
epoch: 49
loss: 0.3169037061881505
IOU: [94.87, 66.57, 76.13, 13.82, 23.82, 34.33, 15.11, 33.31, 78.89, 43.27, 60.82, 33.04, 17.33, 65.87, 10.72, 28.99, 1.36, 7.0, 41.89]
mIOU: 39.32, mIOU_reduced: 41.43, accuracy: 86.4
epoch: 50
loss: 0.3047890755927788
epoch: 51
loss: 0.28952441334403106
epoch: 52
loss: 0.2839831507832535
epoch: 53
loss: 0.2981313111165142
epoch: 54
loss: 0.2789300155205868
epoch: 55
loss: 0.28180880852626017
epoch: 56
loss: 0.2875295721215379
epoch: 57
loss: 0.2987835852283673
epoch: 58
loss: 0.2939956060076017
epoch: 59
loss: 0.2879524787641921
epoch: 60
loss: 0.2721942175189761
epoch: 61
loss: 0.30783287184739694
epoch: 62
loss: 0.27737735649646134
epoch: 63
loss: 0.2849389841212738
epoch: 64
loss: 0.3034730321072504
epoch: 65
loss: 0.27855576317747327
epoch: 66
loss: 0.26943479056628244
epoch: 67
loss: 0.2531931158305821
epoch: 68
loss: 0.2666526855323514
epoch: 69
loss: 0.29516368923643527
epoch: 70
loss: 0.30902993719211486
epoch: 71
loss: 0.2843595584929793
epoch: 72
loss: 0.2686153842673469
epoch: 73
loss: 0.2734910933717563
epoch: 74
loss: 0.26083482327968927
IOU: [96.94, 76.22, 87.14, 40.47, 36.38, 49.76, 44.84, 61.51, 89.8, 52.83, 88.24, 68.48, 44.14, 90.77, 45.52, 56.39, 43.22, 31.43, 61.35]
mIOU: 61.34, mIOU_reduced: 62.35, accuracy: 93.35
epoch: 75
loss: 0.2545296120233934
epoch: 76
loss: 0.26901364571482667
epoch: 77
loss: 0.2540710423432913
epoch: 78
loss: 0.2608693478443231
epoch: 79
loss: 0.3152475128115991
epoch: 80
loss: 0.25734379415643827
epoch: 81
loss: 0.25653456356326204
epoch: 82
loss: 0.2519219206430199
epoch: 83
loss: 0.26023118912852355
epoch: 84
loss: 0.2376120901413041
epoch: 85
loss: 0.25254639137706986
epoch: 86
loss: 0.24969347447879872
epoch: 87
loss: 0.24639280706724387
epoch: 88
loss: 0.2358753847666185
epoch: 89
loss: 0.2533096631542049
epoch: 90
loss: 0.2510549415033461
epoch: 91
loss: 0.2520982635551386
epoch: 92
loss: 0.24997474827535068
epoch: 93
loss: 0.24498506131358544
epoch: 94
loss: 0.25975403671637376
epoch: 95
loss: 0.26109275002926186
epoch: 96
loss: 0.24616667813046603
epoch: 97
loss: 0.2593803565417017
epoch: 98
loss: 0.24675880053213664
epoch: 99
loss: 0.23851434496856444
IOU: [97.03, 76.74, 87.97, 29.0, 45.5, 49.91, 46.71, 61.22, 89.0, 53.84, 92.67, 62.57, 36.39, 88.84, 33.36, 62.87, 44.7, 26.91, 60.81]
mIOU: 60.32, mIOU_reduced: 61.19, accuracy: 93.37
epoch: 100
loss: 0.24996302708621937
epoch: 101
loss: 0.25140962006669804
epoch: 102
loss: 0.2384261695763493
epoch: 103
loss: 0.23025888349168064
epoch: 104
loss: 0.22820316146647512
epoch: 105
loss: 0.22881709406719697
epoch: 106
loss: 0.24254605917114452
epoch: 107
loss: 0.27245700303113685
epoch: 108
loss: 0.24136079169026603
epoch: 109
loss: 0.2418166303811369
epoch: 110
loss: 0.23425703672466253
epoch: 111
loss: 0.2561303794665157
epoch: 112
loss: 0.25057739541537033
epoch: 113
loss: 0.23752330669334956
epoch: 114
loss: 0.23263638189459104
epoch: 115
loss: 0.23672115190250853
epoch: 116
loss: 0.23202525517047254
epoch: 117
loss: 0.2503728320937594
epoch: 118
loss: 0.2320815600916703
epoch: 119
loss: 0.2216686831129529
epoch: 120
loss: 0.25437400247048175
epoch: 121
loss: 0.23762246124908287
epoch: 122
loss: 0.24577409179625165
epoch: 123
loss: 0.2346658680959532
epoch: 124
loss: 0.22983425518251815
IOU: [97.23, 78.63, 88.2, 20.66, 39.0, 51.42, 47.51, 64.53, 89.75, 56.52, 89.82, 71.49, 45.93, 91.42, 53.85, 69.43, 48.16, 25.07, 63.22]
mIOU: 62.73, mIOU_reduced: 63.54, accuracy: 93.75
epoch: 125
loss: 0.22875873176155065
epoch: 126
loss: 0.23130601773043527
epoch: 127
loss: 0.24366047438183885
epoch: 128
loss: 0.23311552063956092
epoch: 129
loss: 0.22066056477332693
epoch: 130
loss: 0.2374710756933914
epoch: 131
loss: 0.21668637449529293
epoch: 132
loss: 0.22541438918711362
epoch: 133
loss: 0.224249319366689
epoch: 134
loss: 0.2419442081186328
epoch: 135
loss: 0.2208644549922159
epoch: 136
loss: 0.2366180581384592
epoch: 137
loss: 0.2223603819820759
epoch: 138
loss: 0.26932431363834525
epoch: 139
loss: 0.2321420008482316
epoch: 140
loss: 0.23894338430259426
epoch: 141
loss: 0.265847698978658
epoch: 142
loss: 0.22555959501838427
epoch: 143
loss: 0.22437532318409562
epoch: 144
loss: 0.2264454762810324
epoch: 145
loss: 0.22176188907292332
epoch: 146
loss: 0.21732600537352165
epoch: 147
epoch: 147
loss: 0.2303832580217454
epoch: 148
loss: 0.22254898264562345
epoch: 149
loss: 0.22106534740674205
IOU: [97.2, 78.45, 89.61, 42.87, 49.75, 52.79, 53.74, 65.93, 90.44, 59.69, 93.2, 69.18, 35.0, 91.86, 57.92, 69.07, 41.5, 24.82, 66.2]
mIOU: 64.7, mIOU_reduced: 65.98, accuracy: 94.32
epoch: 150
loss: 0.20719045123482008
epoch: 151
loss: 0.2270917458675621
epoch: 152
loss: 0.23394041807664373
epoch: 153
loss: 0.22822638595039954
epoch: 154
loss: 0.22633328302851263
epoch: 155
loss: 0.21146849645276597
epoch: 156
loss: 0.23724723723779792
epoch: 157
loss: 0.2305725434157405
epoch: 158
loss: 0.2140223706427289
epoch: 159
loss: 0.2127588861835292
epoch: 160
loss: 0.2176456090133145
epoch: 161
loss: 0.2250506444118736
epoch: 162
loss: 0.2028749632345377
epoch: 163
loss: 0.21180878083580587
epoch: 164
loss: 0.20877482075334558
epoch: 165
loss: 0.21390075158237448
epoch: 166
loss: 0.22226481997179534
epoch: 167
loss: 0.21770773512735522
epoch: 168
loss: 0.20476666974491187
epoch: 169
loss: 0.24556668960260894
epoch: 170
loss: 0.2236994803152637
epoch: 171
loss: 0.22032009356346413
epoch: 172
loss: 0.22393299139172562
epoch: 173
loss: 0.2172459029364136
epoch: 174
loss: 0.21668352807226848
IOU: [97.22, 78.94, 89.65, 47.72, 46.32, 53.64, 55.24, 67.0, 90.83, 57.49, 92.92, 72.92, 49.22, 91.99, 60.46, 56.31, 39.61, 37.09, 67.67]
mIOU: 65.91, mIOU_reduced: 67.37, accuracy: 94.42
epoch: 175
loss: 0.21058443736917568
epoch: 176
loss: 0.19966254347177206
epoch: 177
loss: 0.210156836418932
epoch: 178
loss: 0.20031068441922453
epoch: 179
loss: 0.21590390128668427
epoch: 180
loss: 0.2019825979585275
epoch: 181
loss: 0.216801992745573
epoch: 182
loss: 0.19947178201935684
epoch: 183
loss: 0.22183788469377555
epoch: 184
loss: 0.23123637783639836
epoch: 185
loss: 0.22698942081867202
epoch: 186
loss: 0.21130108825280017
epoch: 187
loss: 0.21126799365741544
epoch: 188
loss: 0.20424858346139646
epoch: 189
loss: 0.20684786616872264
epoch: 190
loss: 0.20944857027010133
epoch: 191
loss: 0.2135079807709812
epoch: 192
loss: 0.20684038267302707
epoch: 193
loss: 0.20115636011982221
epoch: 194
loss: 0.21836268048321783
epoch: 195
loss: 0.19387456182279997
epoch: 196
loss: 0.20582616973839038
epoch: 197
loss: 0.20795205582907259
epoch: 198
loss: 0.2096941424106973
epoch: 199
loss: 0.2343192309181324
IOU: [97.07, 77.12, 88.74, 35.63, 41.4, 52.97, 56.14, 67.79, 90.33, 54.5, 92.28, 72.85, 47.76, 91.9, 56.99, 66.51, 49.9, 34.54, 66.45]
mIOU: 65.31, mIOU_reduced: 66.16, accuracy: 94.06
epoch: 200
loss: 0.20596750397887834
epoch: 201
loss: 0.2211261396459492
epoch: 202
loss: 0.20102035587608333
epoch: 203
loss: 0.1982996889924746
epoch: 204
loss: 0.19721159816912884
epoch: 205
loss: 0.20758486504985316
epoch: 206
loss: 0.1949572522404059
epoch: 207
loss: 0.2083582862046851
epoch: 208
loss: 0.20520918836410476
epoch: 209
loss: 0.19857680046494117
epoch: 210
loss: 0.20675362626497315
epoch: 211
loss: 0.1991339194364946
epoch: 212
loss: 0.19916788570964433
epoch: 213
loss: 0.21333680818023065
epoch: 214
loss: 0.22678637253547293
epoch: 215
loss: 0.21364359340738415
epoch: 216
loss: 0.19843455604867472
epoch: 217
loss: 0.1883300016069348
epoch: 218
loss: 0.19633560368635583
epoch: 219
loss: 0.21126306787976679
epoch: 220
loss: 0.20075591513008442
epoch: 221
loss: 0.19317626262289495
epoch: 222
loss: 0.19895098482903767
epoch: 223
loss: 0.20114191386577576
epoch: 224
loss: 0.1896925892108534
IOU: [97.26, 78.18, 89.25, 39.4, 43.06, 55.05, 56.53, 68.47, 90.55, 57.44, 92.75, 72.64, 50.33, 92.08, 38.1, 52.13, 39.41, 38.99, 66.82]
mIOU: 64.13, mIOU_reduced: 65.5, accuracy: 94.15
epoch: 225
loss: 0.18724225571936354
epoch: 226
loss: 0.1823998773596036
epoch: 227
loss: 0.1927789513553892
epoch: 228
loss: 0.20604391863966245
epoch: 229
loss: 0.18917891935437836
epoch: 230
loss: 0.21203380778954037
epoch: 231
loss: 0.2336552782521415
epoch: 232
loss: 0.19896385762489066
epoch: 233
loss: 0.20636447472874367
epoch: 234
loss: 0.20140987863598486
epoch: 235
loss: 0.19728215753710815
epoch: 236
loss: 0.18095182587274644
epoch: 237
loss: 0.2069056126266477
epoch: 238
loss: 0.19653155068261927
epoch: 239
loss: 0.19096113257411354
epoch: 240
loss: 0.17954850733039193
epoch: 241
loss: 0.18226665810674347
epoch: 242
loss: 0.18907252861804397
epoch: 243
loss: 0.1841255790099622
epoch: 244
loss: 0.19330641737765059
epoch: 245
loss: 0.18952028519622077
epoch: 246
loss: 0.19864974172931477
epoch: 247
loss: 0.1994689918070469
epoch: 248
loss: 0.18631100915673607
epoch: 249
loss: 0.19107703489033037
IOU: [97.57, 81.23, 89.73, 38.5, 48.91, 56.82, 58.0, 70.32, 90.76, 61.65, 93.15, 75.71, 52.57, 92.72, 58.88, 69.49, 47.67, 43.25, 68.51]
mIOU: 68.18, mIOU_reduced: 69.32, accuracy: 94.71
epoch: 250
loss: 0.19552896392714944
epoch: 251
loss: 0.21548762397383744
epoch: 252
loss: 0.185999824733265
epoch: 253
loss: 0.2084719586484837
epoch: 254
loss: 0.18161935025871281
epoch: 255
loss: 0.1833902182323592
epoch: 256
loss: 0.17461156230570493
epoch: 257
loss: 0.17689319969107198
epoch: 258
loss: 0.17502257492985687
epoch: 259
loss: 0.18991140864608744
epoch: 260
loss: 0.221282892652117
epoch: 261
loss: 0.19269541988395295
epoch: 262
loss: 0.195083183781156
epoch: 263
loss: 0.18607799809255368
epoch: 264
loss: 0.2111597726287225
epoch: 265
loss: 0.19324515882447724
epoch: 266
loss: 0.18467716794370642
epoch: 267
loss: 0.1832439279098395
epoch: 268
loss: 0.18168454749805907
epoch: 269
loss: 0.19424943555638474
epoch: 270
loss: 0.17483646418608104
epoch: 271
loss: 0.17534220485754734
epoch: 272
loss: 0.1790861792842333
epoch: 273
loss: 0.1738370803167235
epoch: 274
loss: 0.19109782600659886
IOU: [97.25, 80.0, 89.71, 41.91, 41.49, 56.44, 56.74, 67.66, 90.54, 60.46, 93.14, 72.99, 49.66, 92.22, 31.07, 64.91, 35.64, 39.11, 67.85]
mIOU: 64.67, mIOU_reduced: 66.29, accuracy: 94.36
epoch: 275
loss: 0.18448161187197643
epoch: 276
loss: 0.17565656401156737
epoch: 277
loss: 0.1802232367691968
epoch: 278
loss: 0.18477090958234757
epoch: 279
loss: 0.184826922143566
epoch: 280
loss: 0.17360555097420582
epoch: 281
loss: 0.19711492774942815
epoch: 282
loss: 0.17772381421369363
epoch: 283
loss: 0.1699713201254526
epoch: 284
loss: 0.17162597611185032
epoch: 285
loss: 0.18320722865929823
epoch: 286
loss: 0.17625578271973166
epoch: 287
loss: 0.1684426437772188
epoch: 288
loss: 0.18663465139277863
epoch: 289
loss: 0.18921526266397493
epoch: 290
loss: 0.17800725912148097
epoch: 291
loss: 0.21425772876029386
epoch: 292
loss: 0.19267037040943083
epoch: 293
loss: 0.18593943506639923
epoch: 294
loss: 0.1708123256374562
epoch: 295
loss: 0.18103689210353835
epoch: 296
loss: 0.17032113970530965
epoch: 297
loss: 0.18714623809905065
epoch: 298
loss: 0.18529576099304498
epoch: 299
loss: 0.17778748454591334
IOU: [97.47, 80.44, 89.95, 41.49, 53.82, 54.46, 57.88, 69.8, 90.53, 60.02, 93.6, 74.71, 51.48, 92.76, 56.31, 67.38, 39.26, 43.62, 67.44]
mIOU: 67.5, mIOU_reduced: 69.07, accuracy: 94.63
epoch: 300
loss: 0.17795928093702645
epoch: 301
loss: 0.18871648097536314
epoch: 302
loss: 0.17613013359815927
epoch: 303
loss: 0.16891756720057716
epoch: 304
loss: 0.16469066804952698
epoch: 305
loss: 0.16922509461400323
epoch: 306
loss: 0.18319515295507452
epoch: 307
loss: 0.20073929553565312
epoch: 308
loss: 0.17937777613131506
epoch: 309
loss: 0.1781524850954264
epoch: 310
loss: 0.1639487677908972
epoch: 311
loss: 0.165700541774057
epoch: 312
loss: 0.17236105155832362
epoch: 313
loss: 0.1702775726260522
epoch: 314
loss: 0.17284078012418874
epoch: 315
loss: 0.1642213970864558
epoch: 316
loss: 0.16878481948311438
epoch: 317
loss: 0.17308379731811283
epoch: 318
loss: 0.16523406544142977
epoch: 319
loss: 0.16934474688173948
epoch: 320
loss: 0.16644635941140415
epoch: 321
loss: 0.1683576329538443
epoch: 322
loss: 0.1765815284293938
epoch: 323
loss: 0.17553587304051674
epoch: 324
loss: 0.1732429696141549
IOU: [96.78, 77.15, 91.02, 46.09, 54.41, 57.57, 61.84, 72.51, 91.63, 57.27, 94.02, 75.77, 53.77, 93.3, 55.87, 70.1, 51.55, 41.14, 69.64]
mIOU: 69.02, mIOU_reduced: 69.99, accuracy: 94.79
epoch: 325
loss: 0.16335563132705072
epoch: 326
loss: 0.16578836530206018
epoch: 327
loss: 0.16811853066849902
epoch: 328
loss: 0.1764813863805362
epoch: 329
loss: 0.18007183685456968
epoch: 330
loss: 0.18275479998469674
epoch: 331
loss: 0.1626467101095179
epoch: 332
loss: 0.16530618945141687
epoch: 333
loss: 0.16897998617665788
epoch: 334
loss: 0.17119626986048614
epoch: 335
loss: 0.16079336545377407
epoch: 336
loss: 0.16652304476322832
epoch: 337
loss: 0.16250709052677104
epoch: 338
loss: 0.16452640967790008
epoch: 339
loss: 0.1541833896240134
epoch: 340
loss: 0.17041657814841385
epoch: 341
loss: 0.1791205230869373
epoch: 342
loss: 0.17473634394673968
epoch: 343
loss: 0.19824157129079506
epoch: 344
loss: 0.1693486473711353
epoch: 345
loss: 0.16901045077733917
epoch: 346
loss: 0.17463006635480172
epoch: 347
loss: 0.16036649927938723
epoch: 348
loss: 0.1753987270103632
epoch: 349
loss: 0.1708351975342013
IOU: [97.4, 80.33, 90.87, 47.55, 54.87, 58.36, 60.04, 70.99, 91.48, 61.15, 93.71, 76.91, 53.9, 93.32, 64.56, 74.33, 53.63, 48.7, 71.1]
mIOU: 70.69, mIOU_reduced: 71.64, accuracy: 95.06
epoch: 350
loss: 0.1628201666345815
epoch: 351
loss: 0.15413811708476666
epoch: 352
loss: 0.15198056799462542
epoch: 353
loss: 0.14667837070727927
epoch: 354
loss: 0.15197809068661816
epoch: 355
loss: 0.16656768330023938
epoch: 356
loss: 0.16351390559718293
epoch: 357
loss: 0.1572097281039243
epoch: 358
loss: 0.15195301916159068
epoch: 359
loss: 0.15402238107113184
epoch: 360
loss: 0.16341911637879447
epoch: 361
loss: 0.15290421643106122
epoch: 362
loss: 0.14957441419684342
epoch: 363
loss: 0.15288490209618025
epoch: 364
loss: 0.16910825129548174
epoch: 365
loss: 0.15039960365250427
epoch: 366
loss: 0.15101140201332755
epoch: 367
loss: 0.15368825845882256
epoch: 368
loss: 0.1755748451800359
epoch: 369
loss: 0.16338415684886376
epoch: 370
loss: 0.16687711061171764
epoch: 371
loss: 0.16578716722460127
epoch: 372
loss: 0.17261548625491058
epoch: 373
loss: 0.1590756533361188
epoch: 374
loss: 0.1516483360223693
IOU: [97.95, 83.04, 90.98, 44.7, 58.26, 58.69, 62.3, 73.49, 91.62, 64.9, 93.76, 77.17, 55.67, 93.51, 66.71, 77.84, 59.51, 48.05, 70.19]
mIOU: 72.02, mIOU_reduced: 72.71, accuracy: 95.32
epoch: 375
loss: 0.15144736016535695
epoch: 376
loss: 0.1588776652824204
epoch: 377
loss: 0.17427948557061326
epoch: 378
loss: 0.15226805647910444
epoch: 379
loss: 0.1570615163349077
epoch: 380
loss: 0.15821035156111832
epoch: 381
loss: 0.15853296991467797
epoch: 382
loss: 0.14667400279938372
epoch: 383
loss: 0.14723092458158168
epoch: 384
loss: 0.14295803333790796
epoch: 385
loss: 0.14578712151217654
epoch: 386
loss: 0.1547175195580223
epoch: 387
loss: 0.14199694593479692
epoch: 388
loss: 0.1426213956023805
epoch: 389
loss: 0.14942707512979558
epoch: 390
loss: 0.14123879622095678
epoch: 391
loss: 0.14627081477095819
epoch: 392
loss: 0.15157369757196654
epoch: 393
loss: 0.14753485320392
epoch: 394
loss: 0.14987643440618026
epoch: 395
loss: 0.15146076398075753
epoch: 396
loss: 0.14627212396448835
epoch: 397
loss: 0.1492473318409727
epoch: 398
loss: 0.14464702834739196
epoch: 399
loss: 0.13843373859908703
IOU: [97.64, 81.86, 91.39, 53.58, 58.18, 59.77, 63.62, 73.76, 91.46, 62.14, 94.29, 77.78, 53.54, 93.46, 64.94, 76.68, 50.36, 50.0, 71.62]
mIOU: 71.9, mIOU_reduced: 73.09, accuracy: 95.31
epoch: 400
loss: 0.14027048193540856
epoch: 401
loss: 0.14750061597865868
epoch: 402
loss: 0.14663911036484326
epoch: 403
loss: 0.14145978096360468
epoch: 404
loss: 0.13903720006145878
epoch: 405
loss: 0.1431596697059603
epoch: 406
loss: 0.15774119934544087
epoch: 407
loss: 0.1455454232718424
epoch: 408
loss: 0.14798888981824293
epoch: 409
loss: 0.1436302113243833
epoch: 410
loss: 0.14146039048536127
epoch: 411
loss: 0.14237884468225778
epoch: 412
loss: 0.15115931212420092
epoch: 413
loss: 0.14246913233415456
epoch: 414
loss: 0.15296472261617125
epoch: 415
loss: 0.14890603962130944
epoch: 416
loss: 0.14300164244968616
epoch: 417
loss: 0.13872949666572068
epoch: 418
loss: 0.13665315241746182
epoch: 419
loss: 0.13489151653655457
epoch: 420
loss: 0.1407262276044753
epoch: 421
loss: 0.1373393815563053
epoch: 422
loss: 0.13938777400758068
epoch: 423
loss: 0.13559468080492995
epoch: 424
loss: 0.1323086310107753
IOU: [97.95, 83.37, 91.87, 58.67, 59.35, 59.99, 63.55, 74.28, 91.98, 65.7, 93.98, 78.3, 56.67, 93.83, 68.27, 75.72, 60.17, 51.96, 72.39]
mIOU: 73.58, mIOU_reduced: 74.32, accuracy: 95.59
epoch: 425
loss: 0.13117974058717408
epoch: 426
loss: 0.13448713037042284
epoch: 427
loss: 0.1336414601924927
epoch: 428
loss: 0.1326908650142806
epoch: 429
loss: 0.1344126428394626
epoch: 430
loss: 0.13221977779646768
epoch: 431
loss: 0.13085159605163127
epoch: 432
loss: 0.13318506620241946
epoch: 433
loss: 0.13297016146489873
epoch: 434
loss: 0.13077244923683512
epoch: 435
loss: 0.13081686481873622
epoch: 436
loss: 0.13569416704203563
epoch: 437
loss: 0.13093640633188489
epoch: 438
loss: 0.13385798372428692
epoch: 439
loss: 0.1305416693504287
epoch: 440
loss: 0.14082545742914684
epoch: 441
loss: 0.13297517524374464
epoch: 442
loss: 0.12804355369905898
epoch: 443
loss: 0.1302693348046583
epoch: 444
loss: 0.12749264625245027
epoch: 445
loss: 0.13204794740580483
epoch: 446
loss: 0.13544341169719426
epoch: 447
loss: 0.1295070978147643
epoch: 448
loss: 0.12589194698916933
epoch: 449
loss: 0.1311882822661387
IOU: [97.91, 83.77, 91.85, 59.54, 59.7, 61.27, 61.7, 74.75, 92.15, 66.86, 94.49, 79.42, 59.98, 94.28, 72.55, 77.17, 54.84, 54.38, 73.18]
mIOU: 74.2, mIOU_reduced: 75.27, accuracy: 95.7
epoch: 450
loss: 0.1255370425487143
epoch: 451
loss: 0.1262913460760425
epoch: 452
loss: 0.1346237373882227
epoch: 453
loss: 0.12330208035974169
epoch: 454
loss: 0.1265176964316246
epoch: 455
loss: 0.13173221873064248
epoch: 456
loss: 0.12542444680418288
epoch: 457
loss: 0.12593497010575472
epoch: 458
loss: 0.12863723429627816
epoch: 459
loss: 0.12618333095247855
epoch: 460
loss: 0.12417609351021903
epoch: 461
loss: 0.12202107997716598
epoch: 462
loss: 0.1212748676096654
epoch: 463
loss: 0.12361014372295125
epoch: 464
loss: 0.12270672584198555
epoch: 465
loss: 0.12429813385973722
epoch: 466
loss: 0.12166771718433925
epoch: 467
loss: 0.12230572524176775
epoch: 468
loss: 0.11992860162716028
epoch: 469
loss: 0.11932991100650914
epoch: 470
loss: 0.11908328101400416
epoch: 471
loss: 0.11853993342652154
epoch: 472
loss: 0.12051855192351534
epoch: 473
loss: 0.12029486101351658
epoch: 474
loss: 0.11710160597154715
IOU: [98.09, 84.49, 92.2, 58.07, 61.56, 61.8, 66.28, 74.69, 92.28, 65.28, 94.71, 79.34, 58.11, 94.51, 71.5, 75.36, 45.98, 54.76, 73.5]
mIOU: 73.82, mIOU_reduced: 75.36, accuracy: 95.82
epoch: 475
loss: 0.11941724296689354
epoch: 476
loss: 0.11729198822756662
epoch: 477
loss: 0.11976912567477342
epoch: 478
loss: 0.11821033910037372
epoch: 479
loss: 0.11617289429324656
epoch: 480
loss: 0.11592390639280695
IOU: [98.13, 84.79, 92.13, 55.7, 61.32, 62.23, 66.15, 75.89, 92.21, 65.79, 94.72, 79.6, 58.81, 94.41, 70.74, 80.17, 58.15, 51.49, 73.12]
mIOU: 74.5, mIOU_reduced: 75.41, accuracy: 95.85
epoch: 481
loss: 0.11734024699365675
IOU: [98.0, 84.13, 92.27, 52.72, 61.65, 61.99, 66.25, 75.88, 91.97, 65.43, 94.72, 79.12, 57.83, 94.37, 71.2, 80.52, 64.77, 54.37, 73.69]
mIOU: 74.78, mIOU_reduced: 75.34, accuracy: 95.78
epoch: 482
loss: 0.11880836607712619
IOU: [98.12, 84.74, 92.19, 57.77, 62.55, 62.11, 66.07, 75.96, 92.25, 65.28, 94.75, 79.55, 58.43, 94.51, 70.39, 77.16, 56.3, 55.86, 73.69]
mIOU: 74.61, mIOU_reduced: 75.63, accuracy: 95.86
epoch: 483
loss: 0.11491613647325662
IOU: [98.02, 84.11, 92.08, 54.26, 61.3, 62.19, 66.12, 75.57, 92.22, 65.2, 94.64, 79.58, 58.62, 94.47, 71.0, 79.3, 61.95, 54.57, 73.4]
mIOU: 74.66, mIOU_reduced: 75.37, accuracy: 95.8
epoch: 484
loss: 0.11521549372258533
IOU: [98.14, 84.75, 92.23, 58.1, 61.93, 62.31, 66.29, 75.67, 92.29, 65.96, 94.63, 79.07, 57.02, 94.54, 70.41, 76.49, 55.1, 54.26, 73.42]
mIOU: 74.35, mIOU_reduced: 75.42, accuracy: 95.87
epoch: 485
loss: 0.1156301207619536
IOU: [98.09, 84.44, 92.19, 53.48, 61.1, 62.25, 66.24, 75.68, 92.13, 64.14, 94.73, 79.52, 58.37, 94.6, 69.15, 77.12, 53.92, 55.01, 73.58]
mIOU: 73.99, mIOU_reduced: 75.1, accuracy: 95.8
epoch: 486
loss: 0.11445695747222219
IOU: [98.06, 84.56, 92.26, 57.28, 62.34, 62.59, 66.51, 75.98, 92.34, 65.67, 94.79, 79.48, 58.42, 94.65, 73.6, 79.14, 59.13, 56.07, 73.23]
mIOU: 75.06, mIOU_reduced: 75.94, accuracy: 95.89
epoch: 487
loss: 0.11566561508692821
IOU: [98.09, 84.63, 92.28, 58.58, 63.58, 62.22, 66.48, 75.84, 92.34, 66.07, 94.75, 79.77, 59.37, 94.59, 73.79, 79.58, 59.95, 55.22, 73.38]
mIOU: 75.29, mIOU_reduced: 76.14, accuracy: 95.91
epoch: 488
loss: 0.11267071098812186
IOU: [98.07, 84.48, 92.26, 58.31, 62.77, 62.37, 66.06, 76.04, 92.33, 66.15, 94.76, 79.74, 58.8, 94.56, 71.61, 79.37, 60.43, 55.19, 73.38]
mIOU: 75.09, mIOU_reduced: 75.9, accuracy: 95.89
epoch: 489
loss: 0.11457546633690836
IOU: [98.02, 84.3, 92.3, 58.07, 62.85, 62.39, 66.1, 76.16, 92.31, 66.26, 94.68, 79.8, 59.01, 94.54, 68.43, 76.55, 54.29, 54.77, 73.47]
mIOU: 74.44, mIOU_reduced: 75.56, accuracy: 95.85
epoch: 490
loss: 0.11213832734167736
IOU: [97.98, 84.05, 92.3, 57.26, 62.0, 61.97, 65.75, 76.26, 92.33, 66.07, 94.78, 79.64, 58.89, 94.6, 68.88, 78.29, 61.15, 55.64, 73.61]
mIOU: 74.81, mIOU_reduced: 75.57, accuracy: 95.85
epoch: 491
loss: 0.11435374794301961
IOU: [97.93, 83.71, 92.38, 59.65, 62.23, 62.56, 66.66, 76.2, 92.34, 65.38, 94.73, 79.65, 58.98, 94.65, 70.82, 77.77, 58.68, 53.81, 73.43]
mIOU: 74.82, mIOU_reduced: 75.71, accuracy: 95.84
epoch: 492
loss: 0.11649597462296807
IOU: [98.0, 84.15, 92.23, 57.86, 62.59, 62.42, 66.35, 76.2, 92.29, 65.7, 94.63, 79.66, 58.42, 94.58, 70.24, 76.82, 53.7, 56.17, 73.51]
mIOU: 74.5, mIOU_reduced: 75.66, accuracy: 95.84
epoch: 493
loss: 0.11376213575550166
IOU: [98.02, 84.33, 92.3, 58.05, 62.05, 62.59, 66.6, 76.27, 92.34, 66.02, 94.64, 79.66, 58.49, 94.55, 71.42, 78.87, 59.04, 56.09, 73.63]
mIOU: 75.0, mIOU_reduced: 75.89, accuracy: 95.87
epoch: 494
loss: 0.11236830750565645
IOU: [98.01, 84.18, 92.29, 57.31, 61.97, 62.54, 66.68, 76.24, 92.32, 65.53, 94.75, 79.67, 58.84, 94.5, 71.36, 78.84, 58.71, 55.63, 73.51]
mIOU: 74.89, mIOU_reduced: 75.79, accuracy: 95.86
epoch: 495
loss: 0.11191186277733016
IOU: [98.01, 84.29, 92.31, 58.3, 61.93, 62.59, 66.5, 76.23, 92.38, 66.17, 94.75, 79.73, 59.1, 94.6, 70.1, 78.0, 55.18, 56.14, 73.68]
mIOU: 74.74, mIOU_reduced: 75.82, accuracy: 95.87
epoch: 496
loss: 0.11361014167213376
IOU: [98.03, 84.33, 92.33, 59.0, 62.29, 62.49, 66.58, 76.26, 92.37, 66.52, 94.66, 79.72, 58.76, 94.6, 70.44, 78.95, 58.38, 55.64, 73.84]
mIOU: 75.01, mIOU_reduced: 75.93, accuracy: 95.89
epoch: 497
loss: 0.11237673707446962
IOU: [98.01, 84.15, 92.3, 59.15, 61.85, 62.5, 66.56, 76.22, 92.32, 65.95, 94.65, 79.67, 58.98, 94.61, 69.69, 79.26, 60.86, 55.81, 73.77]
mIOU: 75.07, mIOU_reduced: 75.86, accuracy: 95.87
epoch: 498
loss: 0.11197853096411878
IOU: [98.06, 84.43, 92.32, 58.34, 62.37, 62.45, 66.54, 76.27, 92.33, 65.86, 94.76, 79.67, 58.97, 94.63, 70.4, 78.45, 57.33, 55.57, 73.66]
mIOU: 74.86, mIOU_reduced: 75.84, accuracy: 95.89
epoch: 499
loss: 0.11024656705056239
IOU: [98.05, 84.4, 92.32, 59.15, 62.36, 62.63, 66.58, 76.08, 92.33, 65.95, 94.72, 79.9, 59.09, 94.58, 71.88, 79.93, 60.94, 55.84, 73.65]
mIOU: 75.28, mIOU_reduced: 76.08, accuracy: 95.9
Best mIOU: 75.28957748413086
Best global accuracy: 95.9057092666626
Training time 14:38:51
