{'model_name': 'exp43_decoder26', '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_half2', 'batch_size': 8, 'train_min_size': 256, 'train_max_size': 1792, 'train_crop_size': [768, 768], 'val_input_size': 1024, 'val_label_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': 15, 'save_dir': 'checkpoints', 'log_dir': 'training_log', 'save_name': 'cityscapes_exp43_decoder26_500_epochs_fair', 'save_best_path': 'checkpoints/cityscapes_exp43_decoder26_500_epochs_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp43_decoder26_500_epochs_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp43_decoder26_500_epochs_fair_latest', 'log_path': 'training_log/cityscapes_exp43_decoder26_500_epochs_fair_log.txt'}
run: 1
epoch: 0
loss: 1.2730093395934914
IOU: [82.02, 0.59, 44.79, 0.0, 0.0, 0.0, 0.0, 0.0, 25.97, 0.05, 2.71, 0.0, 0.0, 32.61, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 9.93, mIOU_reduced: 10.48, accuracy: 64.67
epoch: 1
loss: 0.9626442472729079
epoch: 2
loss: 0.8319363065485684
epoch: 3
loss: 0.7632963268583355
epoch: 4
loss: 0.7135328774182301
epoch: 5
loss: 0.6708517701959995
epoch: 6
loss: 0.668830089009997
epoch: 7
loss: 0.6115175057453608
epoch: 8
loss: 0.5517141297660426
epoch: 9
loss: 0.5596679814581601
epoch: 10
loss: 0.5353057697776835
epoch: 11
loss: 0.5028194524849843
epoch: 12
loss: 0.4817494664873396
epoch: 13
loss: 0.48365679881322093
epoch: 14
loss: 0.4629606755997614
epoch: 15
loss: 0.45143612440062986
epoch: 16
loss: 0.4403451548191415
epoch: 17
loss: 0.4286319080067452
epoch: 18
loss: 0.4341548616593739
epoch: 19
loss: 0.4055433807909649
epoch: 20
loss: 0.40672134208390015
epoch: 21
loss: 0.3934849722366127
epoch: 22
loss: 0.37961965044232393
epoch: 23
loss: 0.39270963983715707
epoch: 24
loss: 0.3895725904288639
IOU: [95.15, 64.03, 82.4, 17.52, 9.41, 33.36, 18.81, 37.53, 85.6, 44.41, 88.08, 49.91, 0.79, 78.9, 5.9, 36.79, 15.38, 7.2, 38.95]
mIOU: 42.64, mIOU_reduced: 44.15, accuracy: 90.07
epoch: 25
loss: 0.38071573005532316
epoch: 26
loss: 0.3632217741237496
epoch: 27
loss: 0.3840339980276447
epoch: 28
loss: 0.3741701570241599
epoch: 29
loss: 0.3672356728434241
epoch: 30
loss: 0.3556305764097409
epoch: 31
loss: 0.3607572773797814
epoch: 32
loss: 0.3388871197109274
epoch: 33
loss: 0.3458493073593895
epoch: 34
loss: 0.33910791636155946
epoch: 35
loss: 0.3258538789585273
epoch: 36
loss: 0.32628799609418185
epoch: 37
loss: 0.32812691429715274
epoch: 38
loss: 0.3510180872807284
epoch: 39
loss: 0.33006408224208655
epoch: 40
loss: 0.33365622584549887
epoch: 41
loss: 0.33423399077753496
epoch: 42
loss: 0.3291959673407264
epoch: 43
loss: 0.2986669523937683
epoch: 44
loss: 0.31965238169197124
epoch: 45
loss: 0.3085104470063413
epoch: 46
loss: 0.3071048357335705
epoch: 47
loss: 0.33429782032323974
epoch: 48
loss: 0.31711381288230256
epoch: 49
loss: 0.35045287326339764
IOU: [95.05, 63.88, 85.95, 22.96, 32.36, 43.88, 32.5, 51.24, 87.83, 49.45, 91.52, 60.74, 21.95, 87.82, 12.17, 40.11, 0.23, 8.51, 55.34]
mIOU: 49.66, mIOU_reduced: 52.4, accuracy: 91.68
epoch: 50
loss: 0.312016520378082
epoch: 51
loss: 0.3170135581911092
epoch: 52
loss: 0.30931279344378776
epoch: 53
loss: 0.311651903222192
epoch: 54
loss: 0.3091010974263245
epoch: 55
loss: 0.2881176846448302
epoch: 56
loss: 0.33540415848201177
epoch: 57
loss: 0.2918679043449803
epoch: 58
loss: 0.3022270501864888
epoch: 59
loss: 0.29258818795899494
epoch: 60
loss: 0.30903175396899973
epoch: 61
loss: 0.2932603484938408
epoch: 62
loss: 0.2957638715396352
epoch: 63
loss: 0.2897550247589533
epoch: 64
loss: 0.28036883935292134
epoch: 65
loss: 0.3034592844003616
epoch: 66
loss: 0.28947942262148924
epoch: 67
loss: 0.2795637975323875
epoch: 68
loss: 0.28942324827623495
epoch: 69
loss: 0.283468513957895
epoch: 70
loss: 0.26760959052894956
epoch: 71
loss: 0.28620315537941105
epoch: 72
loss: 0.2906111358712626
epoch: 73
loss: 0.2927300724379136
epoch: 74
loss: 0.26836540760859
IOU: [96.81, 75.74, 87.68, 40.3, 38.37, 48.31, 35.93, 57.43, 88.91, 48.99, 92.84, 66.46, 38.87, 89.24, 36.33, 37.44, 33.77, 11.75, 59.59]
mIOU: 57.09, mIOU_reduced: 58.39, accuracy: 93.11
epoch: 75
loss: 0.27235902331749384
epoch: 76
loss: 0.2832101716024856
epoch: 77
loss: 0.2782131764846992
epoch: 78
loss: 0.28597667628542756
epoch: 79
loss: 0.26272306520983857
epoch: 80
loss: 0.29032755384066034
epoch: 81
loss: 0.2729609985798196
epoch: 82
loss: 0.2884808038122892
epoch: 83
loss: 0.2768828578875714
epoch: 84
loss: 0.2779021093225222
epoch: 85
loss: 0.2730861656428026
epoch: 86
loss: 0.2654074624863596
epoch: 87
loss: 0.2588243490923447
epoch: 88
loss: 0.25785989709941526
epoch: 89
loss: 0.25146686102984084
epoch: 90
loss: 0.25608722881647455
epoch: 91
loss: 0.2580010568436908
epoch: 92
loss: 0.26221126854178717
epoch: 93
loss: 0.26646941892220327
epoch: 94
loss: 0.27227070240800916
epoch: 95
loss: 0.2798642537825191
epoch: 96
loss: 0.24384816589381175
epoch: 97
loss: 0.27660991277575814
epoch: 98
loss: 0.2813076413464996
epoch: 99
loss: 0.2697101077140181
IOU: [96.73, 76.07, 87.51, 16.83, 36.35, 47.97, 44.62, 61.57, 89.05, 54.78, 92.34, 68.13, 42.03, 89.11, 27.3, 54.37, 29.57, 19.4, 62.52]
mIOU: 57.7, mIOU_reduced: 59.26, accuracy: 93.11
epoch: 100
loss: 0.25067831853008016
epoch: 101
loss: 0.26089326145674663
epoch: 102
loss: 0.24577924711604646
epoch: 103
loss: 0.2518623773701429
epoch: 104
loss: 0.2474031609826975
epoch: 105
loss: 0.26443750013639983
epoch: 106
loss: 0.25791706088578925
epoch: 107
loss: 0.29421332084907675
epoch: 108
loss: 0.26928103922030355
epoch: 109
loss: 0.2455334230614801
epoch: 110
loss: 0.2518200587551549
epoch: 111
loss: 0.2541482368850644
epoch: 112
loss: 0.2490662395994297
epoch: 113
loss: 0.2502910395798015
epoch: 114
loss: 0.24891377724405891
epoch: 115
loss: 0.2546899121083982
epoch: 116
loss: 0.26194042505601023
epoch: 117
loss: 0.26453982030526
epoch: 118
loss: 0.23974520520299591
epoch: 119
loss: 0.23519433860107253
epoch: 120
loss: 0.24756272313890432
epoch: 121
loss: 0.24078467873871487
epoch: 122
loss: 0.2689725413637341
epoch: 123
loss: 0.26006453438107213
epoch: 124
loss: 0.23843464634890826
IOU: [97.03, 78.26, 88.69, 43.04, 43.24, 51.09, 45.49, 61.87, 90.37, 58.47, 93.38, 70.44, 43.32, 90.72, 42.78, 61.39, 39.12, 27.43, 64.54]
mIOU: 62.67, mIOU_reduced: 63.98, accuracy: 93.96
epoch: 125
loss: 0.24423210389128913
epoch: 126
loss: 0.24306966984930706
epoch: 127
loss: 0.25792980876894334
epoch: 128
loss: 0.24566273202471978
epoch: 129
loss: 0.25416131823692684
epoch: 130
loss: 0.24701746462811677
epoch: 131
loss: 0.24362841334866706
epoch: 132
loss: 0.231282143921383
epoch: 133
loss: 0.2277000613530691
epoch: 134
loss: 0.24272652765650635
epoch: 135
loss: 0.2360243423166622
epoch: 136
loss: 0.2426108605456802
epoch: 137
loss: 0.24043651692308185
epoch: 138
loss: 0.23829987116981388
epoch: 139
loss: 0.22116531001911008
epoch: 140
loss: 0.2419068367895733
epoch: 141
loss: 0.21710693697643407
epoch: 142
loss: 0.22458890825510025
epoch: 143
loss: 0.22054888661498973
epoch: 144
loss: 0.23268501394280205
epoch: 145
loss: 0.2192832824354866
epoch: 146
loss: 0.22203884474591745
epoch: 147
loss: 0.2672418097681755
epoch: 148
loss: 0.23524549488992383
epoch: 149
loss: 0.2542611079596766
IOU: [96.78, 75.53, 87.59, 20.82, 44.63, 49.65, 44.64, 56.04, 88.01, 56.03, 92.34, 70.82, 44.44, 90.05, 41.2, 58.42, 3.5, 23.57, 62.94]
mIOU: 58.26, mIOU_reduced: 61.31, accuracy: 93.18
epoch: 150
loss: 0.2270199692032408
epoch: 151
loss: 0.23952448619102853
epoch: 152
loss: 0.2327933550242465
epoch: 153
loss: 0.21768919669714257
epoch: 154
loss: 0.23082536904799006
epoch: 155
loss: 0.24194193583212772
epoch: 156
loss: 0.2351028281402074
epoch: 157
loss: 0.21533538148088274
epoch: 158
loss: 0.23330274979380586
epoch: 159
loss: 0.23306197582711427
epoch: 160
loss: 0.2632718379245293
epoch: 161
loss: 0.22736682584182913
epoch: 162
loss: 0.2331123185366633
epoch: 163
loss: 0.21608360764392304
epoch: 164
loss: 0.22833729143733927
epoch: 165
loss: 0.2245675716599364
epoch: 166
loss: 0.23614231055235926
epoch: 167
loss: 0.21858443315781032
epoch: 168
loss: 0.20960502011194385
epoch: 169
loss: 0.2392406217412486
epoch: 170
loss: 0.2235841768771169
epoch: 171
loss: 0.21593550600693875
epoch: 172
loss: 0.21671312814452898
epoch: 173
loss: 0.22700637056821119
epoch: 174
loss: 0.2220582530464766
IOU: [95.16, 68.92, 86.08, 31.32, 39.24, 32.19, 21.21, 60.74, 88.51, 46.93, 92.66, 64.31, 27.88, 87.55, 37.2, 52.35, 30.64, 12.33, 57.19]
mIOU: 54.34, mIOU_reduced: 55.65, accuracy: 91.89
epoch: 175
loss: 0.2310308057142075
epoch: 176
loss: 0.21613509679900988
epoch: 177
loss: 0.2105327778146916
epoch: 178
loss: 0.21584311838580592
epoch: 179
loss: 0.23640298293125275
epoch: 180
loss: 0.21043064692271046
epoch: 181
loss: 0.1992094931657102
epoch: 182
loss: 0.223956396175684
epoch: 183
loss: 0.22010504321830293
epoch: 184
loss: 0.20993837726244707
epoch: 185
loss: 0.2177144323558499
epoch: 186
loss: 0.21665876461167863
epoch: 187
loss: 0.24047525152764873
epoch: 188
loss: 0.22476455701811293
epoch: 189
loss: 0.2328904619957559
epoch: 190
loss: 0.2242045252310298
epoch: 191
loss: 0.21255192835375947
epoch: 192
loss: 0.23363598277465994
epoch: 193
loss: 0.21653242610053552
epoch: 194
loss: 0.2210124870034241
epoch: 195
loss: 0.21017762948319596
epoch: 196
loss: 0.20047252229603152
epoch: 197
loss: 0.2097303037935833
epoch: 198
loss: 0.21559787411092105
epoch: 199
loss: 0.20672363661370188
IOU: [97.24, 78.63, 89.51, 47.92, 46.5, 55.77, 55.07, 66.3, 90.85, 57.88, 93.8, 72.39, 48.48, 91.36, 48.75, 66.77, 32.74, 34.08, 64.27]
mIOU: 65.17, mIOU_reduced: 66.98, accuracy: 94.3
epoch: 200
loss: 0.22895751337237114
epoch: 201
loss: 0.21845574660924566
epoch: 202
loss: 0.20690489887709246
epoch: 203
loss: 0.19850193132769386
epoch: 204
loss: 0.20035858351907962
epoch: 205
loss: 0.2086205442117231
epoch: 206
loss: 0.20539455107762164
epoch: 207
loss: 0.21432240196877733
epoch: 208
loss: 0.196360705073953
epoch: 209
loss: 0.19754388962553518
epoch: 210
loss: 0.21436471980055066
epoch: 211
loss: 0.20510070184572046
epoch: 212
loss: 0.20953521753016185
epoch: 213
loss: 0.213695022194694
epoch: 214
loss: 0.20735389773415105
epoch: 215
loss: 0.20138334199746022
epoch: 216
loss: 0.22981901509019564
epoch: 217
loss: 0.2182973347945676
epoch: 218
loss: 0.1999929654349214
epoch: 219
loss: 0.21158992061316165
epoch: 220
loss: 0.20951386999007504
epoch: 221
loss: 0.20917463216257867
epoch: 222
loss: 0.1978353227004208
epoch: 223
loss: 0.20191122109517254
epoch: 224
loss: 0.20681164542218103
IOU: [97.23, 77.87, 90.12, 43.75, 48.51, 55.89, 55.97, 65.82, 91.03, 54.25, 93.69, 74.64, 50.93, 91.98, 53.84, 69.85, 53.05, 40.94, 67.61]
mIOU: 67.21, mIOU_reduced: 68.0, accuracy: 94.5
epoch: 225
loss: 0.19909898486902128
epoch: 226
loss: 0.2274584768997691
epoch: 227
loss: 0.2109505256432086
epoch: 228
loss: 0.20671100434508285
epoch: 229
loss: 0.21678582731523924
epoch: 230
loss: 0.21536484973208925
epoch: 231
loss: 0.21383506748473868
epoch: 232
loss: 0.19453892107761775
epoch: 233
loss: 0.2174908500717014
epoch: 234
loss: 0.19502569381599477
epoch: 235
loss: 0.20040285727887783
epoch: 236
loss: 0.20152123599762545
epoch: 237
loss: 0.18869785940390071
epoch: 238
loss: 0.20337465809120964
epoch: 239
loss: 0.20088558692254146
epoch: 240
loss: 0.20140272710281562
epoch: 241
loss: 0.19413781250422857
epoch: 242
loss: 0.21955305902222097
epoch: 243
loss: 0.1929093557748833
epoch: 244
loss: 0.19985996449813045
epoch: 245
loss: 0.19777146676640625
epoch: 246
loss: 0.19307342432740562
epoch: 247
loss: 0.21284244643308403
epoch: 248
loss: 0.18977777459068762
epoch: 249
loss: 0.2101999965478789
IOU: [97.52, 80.95, 90.21, 47.67, 49.36, 55.45, 57.08, 67.63, 90.96, 57.64, 93.95, 70.05, 42.34, 92.65, 63.16, 67.8, 39.76, 36.26, 65.39]
mIOU: 66.62, mIOU_reduced: 68.12, accuracy: 94.63
epoch: 250
loss: 0.1972711455789859
epoch: 251
loss: 0.1949283124181138
epoch: 252
loss: 0.20191177555091297
epoch: 253
loss: 0.20416577646353173
epoch: 254
loss: 0.21434451665759408
epoch: 255
loss: 0.21312323521892979
epoch: 256
loss: 0.20388378660794537
epoch: 257
loss: 0.18964368675275634
epoch: 258
loss: 0.2327148256637658
epoch: 259
loss: 0.2083987027527187
epoch: 260
loss: 0.2073371207135707
epoch: 261
loss: 0.19157666287251882
epoch: 262
loss: 0.19733484595451714
epoch: 263
loss: 0.20908575637562254
epoch: 264
loss: 0.1975070758850748
epoch: 265
loss: 0.18090956581811699
epoch: 266
loss: 0.18834540715837736
epoch: 267
loss: 0.19811660280285498
epoch: 268
loss: 0.1893527933529445
epoch: 269
loss: 0.1766635437177198
epoch: 270
loss: 0.18326026414121901
epoch: 271
loss: 0.18690249506595
epoch: 272
loss: 0.19335159743731878
epoch: 273
loss: 0.1787528527192671
epoch: 274
loss: 0.19763888438756896
IOU: [96.61, 75.49, 88.81, 38.72, 42.6, 52.48, 47.81, 67.1, 89.89, 56.82, 93.74, 71.97, 48.09, 90.0, 36.21, 62.75, 12.15, 26.63, 64.71]
mIOU: 61.19, mIOU_reduced: 63.91, accuracy: 93.72
epoch: 275
loss: 0.19329295584535341
epoch: 276
loss: 0.19528344329797998
epoch: 277
loss: 0.19431142139466948
epoch: 278
loss: 0.21174547415618306
epoch: 279
loss: 0.1759187698645412
epoch: 280
loss: 0.18481037466513178
epoch: 281
loss: 0.21035466517881563
epoch: 282
loss: 0.19534956328470432
epoch: 283
loss: 0.17782421430166198
epoch: 284
loss: 0.18960007792213213
epoch: 285
loss: 0.19833009214092778
epoch: 286
loss: 0.19770853221416473
epoch: 287
loss: 0.17402289227414325
epoch: 288
loss: 0.18570546713479447
epoch: 289
loss: 0.18613052560955368
epoch: 290
loss: 0.18080589245512801
epoch: 291
loss: 0.1964181657388525
epoch: 292
loss: 0.19369934947101897
epoch: 293
loss: 0.20656363746387296
epoch: 294
loss: 0.1951573823059023
epoch: 295
loss: 0.17451344167366825
epoch: 296
loss: 0.18042837697861971
epoch: 297
loss: 0.2001855962801815
epoch: 298
loss: 0.19906314958459284
epoch: 299
loss: 0.18015019356642129
IOU: [97.39, 80.53, 89.99, 49.79, 48.12, 54.86, 56.54, 70.07, 91.38, 62.53, 94.4, 74.53, 52.39, 92.71, 48.2, 74.4, 53.71, 48.97, 68.95]
mIOU: 68.92, mIOU_reduced: 69.76, accuracy: 94.78
epoch: 300
loss: 0.17510933531423142
epoch: 301
loss: 0.1839987342810695
epoch: 302
loss: 0.1743149386261994
epoch: 303
loss: 0.1742787687484466
epoch: 304
loss: 0.17746441747059397
epoch: 305
loss: 0.17945108155034623
epoch: 306
loss: 0.18037407176513878
epoch: 307
loss: 0.18144421393900226
epoch: 308
loss: 0.1751012150047603
epoch: 309
loss: 0.17006072896028143
epoch: 310
loss: 0.18174859776972438
epoch: 311
loss: 0.1738434993232678
epoch: 312
loss: 0.173982447791453
epoch: 313
loss: 0.17974477968206304
epoch: 314
loss: 0.17379734502487748
epoch: 315
loss: 0.18543650645692394
epoch: 316
loss: 0.1798682687176527
epoch: 317
loss: 0.17546958219249936
epoch: 318
loss: 0.1772458814184942
epoch: 319
loss: 0.16500754819083407
epoch: 320
loss: 0.1597728777445873
epoch: 321
loss: 0.16852117235448483
epoch: 322
loss: 0.19105716615995627
epoch: 323
loss: 0.16991963546793415
epoch: 324
loss: 0.18522847733006
IOU: [97.5, 80.59, 89.06, 52.72, 50.34, 56.93, 58.72, 68.19, 89.97, 60.17, 94.17, 70.9, 51.17, 91.25, 46.83, 60.82, 34.43, 40.54, 68.24]
mIOU: 66.45, mIOU_reduced: 68.23, accuracy: 94.44
epoch: 325
loss: 0.1739527581314835
epoch: 326
loss: 0.17470030362072658
epoch: 327
loss: 0.17005552963988801
epoch: 328
loss: 0.17515710922023356
epoch: 329
loss: 0.18502177251879418
epoch: 330
loss: 0.17726408935219773
epoch: 331
loss: 0.16988998205674627
epoch: 332
loss: 0.16699680567510686
epoch: 333
loss: 0.16252834464340518
epoch: 334
loss: 0.17443759504434556
epoch: 335
loss: 0.16334101796712516
epoch: 336
loss: 0.16098420583012932
epoch: 337
loss: 0.1682145591734876
epoch: 338
loss: 0.15939432111470847
epoch: 339
loss: 0.1689438840570154
epoch: 340
loss: 0.16807972975175656
epoch: 341
loss: 0.17325704072845594
epoch: 342
loss: 0.16349902413685047
epoch: 343
loss: 0.1813926908044481
epoch: 344
loss: 0.1693561530177484
epoch: 345
loss: 0.17163340052504425
epoch: 346
loss: 0.18203963578309654
epoch: 347
loss: 0.16637899571994566
epoch: 348
loss: 0.16366124331870813
epoch: 349
loss: 0.1753351745419104
IOU: [97.63, 80.57, 89.72, 40.87, 49.79, 55.84, 57.78, 65.86, 91.15, 57.45, 93.93, 73.9, 51.6, 92.64, 64.65, 72.89, 57.48, 40.01, 66.95]
mIOU: 68.46, mIOU_reduced: 69.07, accuracy: 94.76
epoch: 350
loss: 0.17846609218261955
epoch: 351
loss: 0.1607261817410307
epoch: 352
loss: 0.17263689303815846
epoch: 353
loss: 0.17796538404698642
epoch: 354
loss: 0.1694879031607083
epoch: 355
loss: 0.18300245272502744
epoch: 356
loss: 0.1614214962704805
epoch: 357
loss: 0.17422943271074012
epoch: 358
loss: 0.16931736212213727
epoch: 359
loss: 0.16787878470118797
epoch: 360
loss: 0.16723830859375127
epoch: 361
loss: 0.15474163052046075
epoch: 362
loss: 0.16885315106724794
epoch: 363
loss: 0.16885759522812063
epoch: 364
loss: 0.17058309272052144
epoch: 365
loss: 0.163224170672283
epoch: 366
loss: 0.15704119783848766
epoch: 367
loss: 0.17888768019300266
epoch: 368
loss: 0.1737942167449833
epoch: 369
loss: 0.15918003520714946
epoch: 370
loss: 0.1601756395636543
epoch: 371
loss: 0.1674854790144211
epoch: 372
loss: 0.16922323265165654
epoch: 373
loss: 0.16885537692318064
epoch: 374
loss: 0.15773196673055864
IOU: [97.81, 82.2, 90.85, 56.32, 54.1, 58.7, 61.23, 71.43, 91.35, 62.53, 93.7, 76.2, 55.69, 93.09, 63.43, 68.93, 44.25, 48.27, 69.71]
mIOU: 70.52, mIOU_reduced: 71.98, accuracy: 95.16
epoch: 375
loss: 0.1550112996260432
epoch: 376
loss: 0.1574388613517715
epoch: 377
loss: 0.1570519049654431
epoch: 378
loss: 0.15359132770057315
epoch: 379
loss: 0.15292757930299342
epoch: 380
loss: 0.14832410973438998
epoch: 381
loss: 0.15533530726185385
epoch: 382
loss: 0.1518035756569667
epoch: 383
loss: 0.15147764388361387
epoch: 384
loss: 0.15347502117529713
epoch: 385
loss: 0.14838797842074597
epoch: 386
loss: 0.1565620554585984
epoch: 387
loss: 0.1582742925843781
epoch: 388
loss: 0.14745669906351444
epoch: 389
loss: 0.15378836690977898
epoch: 390
loss: 0.14908649449078543
epoch: 391
loss: 0.1413748487830162
epoch: 392
loss: 0.14734863439660187
epoch: 393
loss: 0.14608420646495895
epoch: 394
loss: 0.15006734005042485
epoch: 395
loss: 0.1487696989366629
epoch: 396
loss: 0.1513547862797092
epoch: 397
loss: 0.14894109777604153
epoch: 398
loss: 0.145989456357098
epoch: 399
loss: 0.14972654149699405
IOU: [97.48, 82.0, 90.18, 48.38, 52.51, 57.87, 56.41, 71.03, 91.37, 62.71, 93.36, 71.87, 44.77, 90.51, 36.1, 65.08, 25.07, 14.44, 65.36]
mIOU: 64.03, mIOU_reduced: 66.19, accuracy: 94.69
epoch: 400
loss: 0.15632542301059732
epoch: 401
loss: 0.155940208152298
epoch: 402
loss: 0.14517899221085473
epoch: 403
loss: 0.14888253464612036
epoch: 404
loss: 0.14516277779948036
epoch: 405
loss: 0.15760239175548452
epoch: 406
loss: 0.1500337547208421
epoch: 407
loss: 0.15346994576348127
epoch: 408
loss: 0.15432772966167033
epoch: 409
loss: 0.14422393134340764
epoch: 410
loss: 0.14214893701584191
epoch: 411
loss: 0.15645501015562252
epoch: 412
loss: 0.16913737872781137
epoch: 413
loss: 0.1616071000534569
epoch: 414
loss: 0.1521381168874769
epoch: 415
loss: 0.1454339088656189
epoch: 416
loss: 0.1420026319929853
epoch: 417
loss: 0.14086497994767366
epoch: 418
loss: 0.14404805109025334
epoch: 419
loss: 0.13857417786619414
epoch: 420
loss: 0.13951738851491333
epoch: 421
loss: 0.14797027039560026
epoch: 422
loss: 0.14131202512593924
epoch: 423
loss: 0.14225593540626716
epoch: 424
loss: 0.1427107517409196
IOU: [97.99, 83.63, 91.23, 55.61, 55.11, 60.28, 62.98, 72.28, 91.85, 62.61, 94.2, 77.64, 53.42, 93.17, 62.23, 71.89, 37.56, 50.56, 70.65]
mIOU: 70.78, mIOU_reduced: 72.63, accuracy: 95.4
epoch: 425
loss: 0.14326551231251894
epoch: 426
loss: 0.14472541739195183
epoch: 427
loss: 0.14583994018421018
epoch: 428
loss: 0.1444873721451772
epoch: 429
loss: 0.13939255000044393
epoch: 430
loss: 0.14197764911179273
epoch: 431
loss: 0.14512661358497214
epoch: 432
loss: 0.14354570938972128
epoch: 433
loss: 0.14650858159495814
epoch: 434
loss: 0.14332688860896461
epoch: 435
loss: 0.14289008362113303
epoch: 436
loss: 0.15620626816450747
epoch: 437
loss: 0.139233713181353
epoch: 438
loss: 0.13518325938288414
epoch: 439
loss: 0.13578425572728212
epoch: 440
loss: 0.1379318423267966
epoch: 441
loss: 0.1352967486749441
epoch: 442
loss: 0.13171860577684208
epoch: 443
loss: 0.13209221971966828
epoch: 444
loss: 0.13056562054711532
epoch: 445
loss: 0.1293602092367298
epoch: 446
loss: 0.13312077709044406
epoch: 447
loss: 0.12934417564753253
epoch: 448
loss: 0.1369517436125529
epoch: 449
loss: 0.1470381966377847
IOU: [97.63, 81.41, 90.8, 53.02, 53.99, 60.09, 60.64, 70.94, 91.62, 61.88, 94.62, 76.12, 52.11, 92.39, 60.38, 68.8, 32.52, 47.78, 70.69]
mIOU: 69.34, mIOU_reduced: 71.38, accuracy: 95.09
epoch: 450
loss: 0.13903275059882522
epoch: 451
loss: 0.13274326669478995
epoch: 452
loss: 0.1351294064055877
epoch: 453
loss: 0.13006960548400237
epoch: 454
loss: 0.12781483378773428
epoch: 455
loss: 0.12991878771878318
epoch: 456
loss: 0.12905202621237608
epoch: 457
loss: 0.12679163808369573
epoch: 458
loss: 0.1281089744156583
epoch: 459
loss: 0.12700584723621688
epoch: 460
loss: 0.1243462544888499
epoch: 461
loss: 0.12731550457181956
epoch: 462
loss: 0.12766114262879055
epoch: 463
loss: 0.129488294537498
epoch: 464
loss: 0.12836204760399147
epoch: 465
loss: 0.13328706718117722
epoch: 466
loss: 0.12587426122870407
epoch: 467
loss: 0.1222153710668299
epoch: 468
loss: 0.12949710323241842
epoch: 469
loss: 0.12428948634637976
epoch: 470
loss: 0.11882482424900538
epoch: 471
loss: 0.1234286857261812
epoch: 472
loss: 0.1203160693622985
epoch: 473
loss: 0.1217540914037157
epoch: 474
loss: 0.11870407772996033
IOU: [98.04, 84.09, 91.95, 57.99, 60.36, 61.58, 65.13, 74.93, 92.18, 64.85, 94.98, 79.04, 58.78, 94.02, 71.37, 76.9, 56.12, 54.11, 73.24]
mIOU: 74.19, mIOU_reduced: 75.2, accuracy: 95.77
epoch: 475
loss: 0.12255916041585635
epoch: 476
loss: 0.12147039267412736
epoch: 477
loss: 0.12252699473315494
epoch: 478
loss: 0.12161879932302028
epoch: 479
loss: 0.122171652837182
epoch: 480
loss: 0.11766266915194108
epoch: 481
loss: 0.11921960492982377
epoch: 482
loss: 0.11819275313953184
epoch: 483
loss: 0.11936290989908568
epoch: 484
loss: 0.1189386144762412
epoch: 485
loss: 0.11900508825509053
IOU: [98.06, 84.22, 92.07, 59.54, 60.22, 61.98, 65.56, 74.68, 92.28, 65.5, 94.92, 79.19, 59.27, 94.29, 76.57, 78.84, 65.01, 55.29, 73.08]
mIOU: 75.29, mIOU_reduced: 75.86, accuracy: 95.83
epoch: 486
loss: 0.11463356636605172
IOU: [97.94, 83.73, 92.08, 59.59, 59.91, 61.46, 65.72, 75.21, 92.14, 64.73, 94.92, 79.0, 58.94, 94.3, 76.46, 79.07, 64.9, 54.31, 73.41]
mIOU: 75.15, mIOU_reduced: 75.72, accuracy: 95.76
epoch: 487
loss: 0.116218177998323
IOU: [98.05, 84.27, 92.06, 59.63, 59.95, 61.46, 65.12, 75.12, 92.2, 65.46, 94.86, 78.81, 57.16, 94.33, 77.3, 79.49, 66.84, 52.86, 73.05]
mIOU: 75.16, mIOU_reduced: 75.62, accuracy: 95.81
epoch: 488
loss: 0.11316254113441851
IOU: [97.99, 83.83, 92.08, 60.02, 60.37, 62.04, 65.91, 75.13, 92.13, 64.48, 94.95, 79.23, 59.46, 94.31, 76.42, 79.68, 66.21, 54.21, 73.27]
mIOU: 75.35, mIOU_reduced: 75.86, accuracy: 95.79
epoch: 489
loss: 0.11725580983486458
IOU: [98.0, 84.07, 92.07, 59.38, 58.81, 61.67, 64.91, 74.78, 92.21, 65.12, 94.84, 78.98, 59.54, 94.07, 72.04, 74.99, 51.39, 54.67, 73.21]
mIOU: 73.93, mIOU_reduced: 75.19, accuracy: 95.74
epoch: 490
loss: 0.11513777523027918
IOU: [98.02, 84.06, 92.1, 60.68, 60.95, 61.96, 65.54, 75.28, 92.17, 65.47, 94.9, 79.25, 58.17, 94.09, 72.37, 78.06, 63.46, 54.03, 72.99]
mIOU: 74.92, mIOU_reduced: 75.56, accuracy: 95.8
epoch: 491
loss: 0.11568176241295357
IOU: [97.99, 83.88, 92.19, 60.39, 61.35, 62.43, 65.56, 74.87, 92.23, 65.0, 94.86, 79.2, 58.59, 94.32, 76.72, 79.29, 64.29, 54.6, 73.2]
mIOU: 75.31, mIOU_reduced: 75.93, accuracy: 95.83
epoch: 492
loss: 0.11527388771830221
IOU: [98.0, 84.01, 92.18, 60.36, 61.12, 61.83, 65.4, 74.96, 92.22, 65.1, 94.9, 79.26, 58.93, 94.32, 77.18, 79.1, 63.9, 53.64, 72.98]
mIOU: 75.23, mIOU_reduced: 75.86, accuracy: 95.83
epoch: 493
loss: 0.1138502924308944
IOU: [98.04, 84.19, 92.2, 60.96, 60.8, 62.47, 65.48, 74.69, 92.28, 65.5, 94.96, 79.27, 58.14, 94.38, 76.74, 79.02, 64.03, 54.03, 73.25]
mIOU: 75.29, mIOU_reduced: 75.91, accuracy: 95.85
epoch: 494
loss: 0.11357003538756358
IOU: [98.03, 84.21, 92.15, 60.36, 60.43, 62.01, 65.13, 74.93, 92.18, 65.4, 94.89, 79.26, 58.9, 94.26, 76.08, 78.69, 63.61, 54.22, 73.08]
mIOU: 75.15, mIOU_reduced: 75.79, accuracy: 95.81
epoch: 495
loss: 0.1119540471312492
IOU: [98.01, 84.0, 92.21, 59.96, 60.52, 62.31, 65.58, 74.77, 92.25, 65.7, 94.9, 79.21, 58.82, 94.26, 74.96, 77.79, 60.31, 53.96, 73.26]
mIOU: 74.88, mIOU_reduced: 75.69, accuracy: 95.82
epoch: 496
loss: 0.1137165752543272
IOU: [98.03, 84.07, 92.21, 60.05, 60.73, 62.05, 65.2, 74.8, 92.24, 65.37, 94.92, 79.08, 58.6, 94.38, 76.1, 78.99, 64.95, 54.43, 73.16]
mIOU: 75.23, mIOU_reduced: 75.8, accuracy: 95.84
epoch: 497
loss: 0.11393752031409837
IOU: [98.08, 84.42, 92.21, 60.06, 61.17, 62.18, 65.6, 75.05, 92.24, 65.57, 94.86, 79.23, 59.72, 94.32, 76.26, 79.28, 65.71, 54.52, 73.38]
mIOU: 75.47, mIOU_reduced: 76.01, accuracy: 95.87
epoch: 498
loss: 0.11329754510256801
IOU: [98.07, 84.42, 92.18, 59.98, 60.94, 62.22, 65.54, 75.07, 92.23, 65.58, 94.95, 79.25, 59.41, 94.29, 74.97, 78.81, 64.12, 54.35, 73.46]
mIOU: 75.26, mIOU_reduced: 75.87, accuracy: 95.86
epoch: 499
loss: 0.11422158221430534
IOU: [98.04, 84.26, 92.22, 59.97, 60.95, 62.32, 65.85, 75.28, 92.24, 65.69, 94.93, 79.31, 59.34, 94.34, 75.72, 79.24, 65.6, 55.21, 73.48]
mIOU: 75.47, mIOU_reduced: 76.02, accuracy: 95.86
Best mIOU: 75.47244925247996
Best global accuracy: 95.86516618728638
Training time 21:48:24
