{'model_name': 'exp43_decoder4', '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': 256, 'train_max_size': 1792, 'train_crop_size': [768, 768], '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_exp43_decoder4_500_epochs_fair', 'save_best_path': 'checkpoints/cityscapes_exp43_decoder4_500_epochs_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp43_decoder4_500_epochs_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp43_decoder4_500_epochs_fair_latest', 'log_path': 'training_log/cityscapes_exp43_decoder4_500_epochs_fair_log.txt'}
run: 1
epoch: 0
loss: 1.2433397528938848
IOU: [76.65, 3.89, 45.33, 0.0, 0.0, 0.0, 0.0, 0.0, 38.82, 0.08, 57.92, 0.0, 0.0, 32.21, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 13.42, mIOU_reduced: 14.16, accuracy: 66.91
epoch: 1
loss: 0.9352294138339009
epoch: 2
loss: 0.8147872641401471
epoch: 3
loss: 0.7501668322761104
epoch: 4
loss: 0.6765323955254413
epoch: 5
loss: 0.638411525285469
epoch: 6
loss: 0.6355061073990845
epoch: 7
loss: 0.6048421713541139
epoch: 8
loss: 0.5530147989483857
epoch: 9
loss: 0.5479812310391038
epoch: 10
loss: 0.5020172725308616
epoch: 11
loss: 0.47918178542765644
epoch: 12
loss: 0.47584746581203535
epoch: 13
loss: 0.4574932760466141
epoch: 14
loss: 0.4433027844464361
epoch: 15
loss: 0.43905311983550654
epoch: 16
loss: 0.44357522599138016
epoch: 17
loss: 0.4120629763988793
epoch: 18
loss: 0.3970377100204843
epoch: 19
loss: 0.40392058822665255
epoch: 20
loss: 0.3829853833926656
epoch: 21
loss: 0.3951992400572949
epoch: 22
loss: 0.383547640875022
epoch: 23
loss: 0.3932219324407552
epoch: 24
loss: 0.3681111987228342
IOU: [95.45, 66.84, 82.32, 27.72, 17.53, 34.89, 25.91, 40.83, 86.41, 45.43, 87.33, 51.6, 7.71, 80.37, 14.24, 44.14, 19.86, 7.92, 47.94]
mIOU: 46.55, mIOU_reduced: 48.03, accuracy: 90.51
epoch: 25
loss: 0.36906862961796094
epoch: 26
loss: 0.36028587806096296
epoch: 27
loss: 0.36769756530173064
epoch: 28
loss: 0.3760422084209411
epoch: 29
loss: 0.3776748758763316
epoch: 30
loss: 0.3321141869713354
epoch: 31
loss: 0.35467976857870415
epoch: 32
loss: 0.3506456940884217
epoch: 33
loss: 0.3250490229807774
epoch: 34
loss: 0.3314214103385766
epoch: 35
loss: 0.34440979558341905
epoch: 36
loss: 0.3286206846770572
epoch: 37
loss: 0.30436495990766027
epoch: 38
loss: 0.33730097428325695
epoch: 39
loss: 0.3421109359299719
epoch: 40
loss: 0.3213070635043707
epoch: 41
loss: 0.3079859607945877
epoch: 42
loss: 0.317856263238786
epoch: 43
loss: 0.32126938553672596
epoch: 44
loss: 0.3318250695409158
epoch: 45
loss: 0.3083520957803469
epoch: 46
loss: 0.307781832880087
epoch: 47
loss: 0.3179654046451306
epoch: 48
loss: 0.3092394450684442
epoch: 49
loss: 0.30129533202821673
IOU: [95.84, 66.53, 86.13, 23.57, 31.21, 42.99, 38.3, 53.71, 87.94, 50.44, 91.49, 53.4, 19.0, 87.03, 29.77, 46.68, 31.42, 9.55, 44.27]
mIOU: 52.07, mIOU_reduced: 53.22, accuracy: 91.59
epoch: 50
loss: 0.3026039843369687
epoch: 51
loss: 0.30454182757360915
epoch: 52
loss: 0.2962932591088056
epoch: 53
loss: 0.29601599822307856
epoch: 54
loss: 0.2979555095463107
epoch: 55
loss: 0.28627231283329246
epoch: 56
loss: 0.30051911632327055
epoch: 57
loss: 0.3073463249961642
epoch: 58
loss: 0.2836192837060301
epoch: 59
loss: 0.2932877344985535
epoch: 60
loss: 0.2898625366369669
epoch: 61
loss: 0.2856237809211417
epoch: 62
loss: 0.275177290256454
epoch: 63
loss: 0.2604935573278412
epoch: 64
loss: 0.28294079082031454
epoch: 65
loss: 0.2749917627666196
epoch: 66
loss: 0.27411345089220934
epoch: 67
loss: 0.26890167039680996
epoch: 68
loss: 0.28995551385808827
epoch: 69
loss: 0.2794382313914055
epoch: 70
loss: 0.2569305580862449
epoch: 71
loss: 0.28039163005641204
epoch: 72
loss: 0.27303966727218215
epoch: 73
loss: 0.2657781855035021
epoch: 74
loss: 0.2757130348377151
IOU: [96.02, 67.84, 86.4, 30.3, 30.61, 45.61, 42.22, 54.84, 88.72, 50.67, 92.35, 63.09, 36.13, 88.74, 32.28, 41.5, 37.72, 13.63, 55.13]
mIOU: 55.46, mIOU_reduced: 56.45, accuracy: 92.21
epoch: 75
loss: 0.2784663079321545
epoch: 76
loss: 0.2875339692493655
epoch: 77
loss: 0.2815405209511117
epoch: 78
loss: 0.28878629207611084
epoch: 79
loss: 0.2514635485137569
epoch: 80
loss: 0.260970376150788
epoch: 81
loss: 0.2595492262202453
epoch: 82
loss: 0.26819047036598315
epoch: 83
loss: 0.2579176608683928
epoch: 84
loss: 0.2711929221439233
epoch: 85
loss: 0.2648390401004138
epoch: 86
loss: 0.27318835391027907
epoch: 87
loss: 0.2552899671291727
epoch: 88
loss: 0.27078420614617854
epoch: 89
loss: 0.25183998190890744
epoch: 90
loss: 0.25838563010859683
epoch: 91
loss: 0.2536405668546247
epoch: 92
loss: 0.24928832544149415
epoch: 93
loss: 0.25400195889315513
epoch: 94
loss: 0.2523875391547571
epoch: 95
loss: 0.25802489781797416
epoch: 96
loss: 0.24606629139731193
epoch: 97
loss: 0.2601317058836996
epoch: 98
loss: 0.2711279689864007
epoch: 99
loss: 0.2519936739715605
IOU: [96.6, 74.82, 85.99, 36.47, 39.67, 46.9, 42.51, 59.75, 88.98, 52.85, 88.14, 63.21, 36.65, 87.64, 11.17, 41.04, 20.31, 9.27, 60.2]
mIOU: 54.85, mIOU_reduced: 56.77, accuracy: 92.6
epoch: 100
loss: 0.2536545241417268
epoch: 101
loss: 0.24537676122953306
epoch: 102
loss: 0.25936253240326984
epoch: 103
loss: 0.24581418230607502
epoch: 104
loss: 0.2461741457007966
epoch: 105
loss: 0.25208888311350763
epoch: 106
loss: 0.2437489707514925
epoch: 107
loss: 0.2630973519541504
epoch: 108
loss: 0.2369894823134749
epoch: 109
loss: 0.2439773245400817
epoch: 110
loss: 0.2564815907987623
epoch: 111
loss: 0.2647239177655981
epoch: 112
loss: 0.24860707051911443
epoch: 113
loss: 0.24178854257591328
epoch: 114
loss: 0.23013745447133752
epoch: 115
loss: 0.24677213664967415
epoch: 116
loss: 0.23519966496290223
epoch: 117
loss: 0.24920469325668407
epoch: 118
loss: 0.26153233747758636
epoch: 119
loss: 0.23851666221962464
epoch: 120
loss: 0.2801208438256359
epoch: 121
loss: 0.24392200303527545
epoch: 122
loss: 0.24708143041300967
epoch: 123
loss: 0.24324590465771861
epoch: 124
loss: 0.22110912860484136
IOU: [96.95, 76.07, 88.77, 45.21, 42.37, 50.07, 48.54, 64.51, 90.11, 58.09, 92.38, 69.97, 46.84, 91.36, 57.06, 60.42, 29.73, 26.81, 61.31]
mIOU: 62.98, mIOU_reduced: 64.83, accuracy: 93.9
epoch: 125
loss: 0.24668396501287296
epoch: 126
loss: 0.23854209556974812
epoch: 127
loss: 0.2565917838214221
epoch: 128
loss: 0.23025352782958922
epoch: 129
loss: 0.21929943555529227
epoch: 130
loss: 0.24359035584322525
epoch: 131
loss: 0.2254306728025331
epoch: 132
loss: 0.23769237717608557
epoch: 133
loss: 0.24066845275401427
epoch: 134
loss: 0.221935008393947
epoch: 135
loss: 0.233002857458238
epoch: 136
loss: 0.24601857785908682
epoch: 137
loss: 0.22064006876833034
epoch: 138
loss: 0.2217173787822942
epoch: 139
loss: 0.2217235419989596
epoch: 140
loss: 0.23110892469028257
epoch: 141
loss: 0.2330451857328736
epoch: 142
loss: 0.21712873693344728
epoch: 143
loss: 0.24230977925007555
epoch: 144
loss: 0.24512189855633398
epoch: 145
loss: 0.21955888348849958
epoch: 146
loss: 0.21990271430773878
epoch: 147
loss: 0.23558714037956896
epoch: 148
loss: 0.2403388914835421
epoch: 149
loss: 0.21234385851981505
IOU: [97.12, 77.97, 88.95, 26.65, 42.63, 51.41, 51.8, 65.08, 89.68, 57.68, 93.04, 69.99, 44.97, 91.26, 50.1, 57.45, 28.83, 26.33, 65.29]
mIOU: 61.91, mIOU_reduced: 63.74, accuracy: 93.91
epoch: 150
loss: 0.2071830025218889
epoch: 151
loss: 0.22186593723425646
epoch: 152
loss: 0.2252055972292417
epoch: 153
loss: 0.23182178929327632
epoch: 154
loss: 0.22766405428355596
epoch: 155
loss: 0.2136839868405437
epoch: 156
loss: 0.23175310014152142
epoch: 157
loss: 0.23763643315619215
epoch: 158
loss: 0.2190846008753198
epoch: 159
loss: 0.2238773821659808
epoch: 160
loss: 0.22366201620538922
epoch: 161
loss: 0.224013964161076
epoch: 162
loss: 0.21843978499546848
epoch: 163
loss: 0.21245421087645455
epoch: 164
loss: 0.21414072454136338
epoch: 165
loss: 0.2726670082688653
epoch: 166
loss: 0.23161971928536731
epoch: 167
loss: 0.23918711572805185
epoch: 168
loss: 0.22440449750889344
epoch: 169
loss: 0.21535422552547687
epoch: 170
loss: 0.22918935120105743
epoch: 171
loss: 0.21946911063959013
epoch: 172
loss: 0.24371602695505573
epoch: 173
loss: 0.21647155389310216
epoch: 174
loss: 0.21950994470129115
IOU: [97.43, 80.1, 88.98, 44.98, 45.75, 45.52, 45.5, 62.95, 90.06, 55.98, 93.54, 72.11, 44.59, 91.44, 57.13, 57.69, 35.98, 27.1, 63.18]
mIOU: 63.16, mIOU_reduced: 64.67, accuracy: 94.2
epoch: 175
loss: 0.22475050317469955
epoch: 176
loss: 0.2254195894112163
epoch: 177
loss: 0.2055578861998098
epoch: 178
loss: 0.220098176293296
epoch: 179
loss: 0.21391730386050886
epoch: 180
loss: 0.22345582827564198
epoch: 181
loss: 0.24368894045966655
epoch: 182
loss: 0.22110252767158647
epoch: 183
loss: 0.22514613237824402
epoch: 184
loss: 0.22889524876991052
epoch: 185
loss: 0.24501042433504788
epoch: 186
loss: 0.2115515844640385
epoch: 187
loss: 0.22312925031001998
epoch: 188
loss: 0.20609807433947078
epoch: 189
loss: 0.22280384957629715
epoch: 190
loss: 0.2059326947859998
epoch: 191
loss: 0.20200951258850225
epoch: 192
loss: 0.21081872503310845
epoch: 193
loss: 0.2264136264547505
epoch: 194
loss: 0.20038279523505675
epoch: 195
loss: 0.21582339406816786
epoch: 196
loss: 0.21123467018260467
epoch: 197
loss: 0.2116458214759184
epoch: 198
loss: 0.21585574709983527
epoch: 199
loss: 0.19493470079895622
IOU: [97.49, 79.89, 89.88, 53.16, 49.81, 54.75, 56.46, 67.73, 90.85, 58.25, 93.25, 70.79, 42.73, 92.47, 64.15, 68.48, 34.34, 23.52, 57.09]
mIOU: 65.53, mIOU_reduced: 67.26, accuracy: 94.51
epoch: 200
loss: 0.19962063248989717
epoch: 201
loss: 0.2119227978137304
epoch: 202
loss: 0.201765453176839
epoch: 203
loss: 0.20018902708176334
epoch: 204
loss: 0.19758048023014377
epoch: 205
loss: 0.21141478296801086
epoch: 206
loss: 0.20605533429474202
epoch: 207
loss: 0.24111003241931012
epoch: 208
loss: 0.23681718862120996
epoch: 209
loss: 0.2031678470439024
epoch: 210
loss: 0.21747667491034356
epoch: 211
loss: 0.20867698380567956
epoch: 212
loss: 0.21306991259846084
epoch: 213
loss: 0.21298197566498964
epoch: 214
loss: 0.21853838559752203
epoch: 215
loss: 0.21999664375724176
epoch: 216
loss: 0.2103511571402177
epoch: 217
loss: 0.21158306738437024
epoch: 218
loss: 0.20989101347977904
epoch: 219
loss: 0.196997048016989
epoch: 220
loss: 0.19933545585430537
epoch: 221
loss: 0.20168796748003226
epoch: 222
loss: 0.20780290542747776
epoch: 223
loss: 0.21337646422681783
epoch: 224
loss: 0.19264689429269005
IOU: [97.31, 79.39, 89.6, 44.28, 42.55, 54.57, 51.02, 67.44, 90.36, 53.68, 93.66, 73.42, 49.99, 92.24, 57.7, 62.21, 41.28, 36.21, 67.22]
mIOU: 65.48, mIOU_reduced: 66.83, accuracy: 94.35
epoch: 225
loss: 0.19618764246570453
epoch: 226
loss: 0.20545407358526863
epoch: 227
loss: 0.22951322402353236
epoch: 228
loss: 0.21076242364641792
epoch: 229
loss: 0.20055196086833418
epoch: 230
loss: 0.20874923523866906
epoch: 231
loss: 0.22398975589927636
epoch: 232
loss: 0.20398749642054026
epoch: 233
loss: 0.1896268138185023
epoch: 234
loss: 0.20833677663957334
epoch: 235
loss: 0.20588358706541138
epoch: 236
loss: 0.18088211560988363
epoch: 237
loss: 0.19133309244788238
epoch: 238
loss: 0.196006794362216
epoch: 239
loss: 0.19218792029307538
epoch: 240
loss: 0.1837205490614526
epoch: 241
loss: 0.19101170460490205
epoch: 242
loss: 0.2008948216059137
epoch: 243
loss: 0.20916147855414213
epoch: 244
loss: 0.1920900583227047
epoch: 245
loss: 0.1923780532860049
epoch: 246
loss: 0.19590830096016032
epoch: 247
loss: 0.20499882758708013
epoch: 248
loss: 0.19334770407718468
epoch: 249
loss: 0.19983747605525579
IOU: [96.96, 78.21, 89.21, 44.37, 43.07, 53.61, 56.73, 68.0, 90.2, 57.81, 93.89, 71.31, 45.53, 91.86, 57.95, 68.19, 48.91, 39.14, 66.81]
mIOU: 66.41, mIOU_reduced: 67.38, accuracy: 94.15
epoch: 250
loss: 0.19047707011998502
epoch: 251
loss: 0.22119995774927165
epoch: 252
loss: 0.19865890459792634
epoch: 253
loss: 0.19267437390159725
epoch: 254
loss: 0.1897588495737459
epoch: 255
loss: 0.20821269328462466
epoch: 256
loss: 0.2055299350354228
epoch: 257
loss: 0.18765436315713224
epoch: 258
loss: 0.1976072596451343
epoch: 259
loss: 0.1935890271777734
epoch: 260
loss: 0.1927410386844144
epoch: 261
loss: 0.20482351395961731
epoch: 262
loss: 0.199107960489079
epoch: 263
loss: 0.18571584912724892
epoch: 264
loss: 0.18198720554537529
epoch: 265
loss: 0.1873025321213383
epoch: 266
loss: 0.19382359350546993
epoch: 267
loss: 0.188757098367754
epoch: 268
loss: 0.18712659925222397
epoch: 269
loss: 0.18865533434155815
epoch: 270
loss: 0.19747712768393386
epoch: 271
loss: 0.1874792819436027
epoch: 272
loss: 0.19648949781839417
epoch: 273
loss: 0.20003765287264338
epoch: 274
loss: 0.1933883104644053
IOU: [97.31, 80.06, 89.98, 48.75, 51.6, 55.18, 57.47, 68.29, 91.01, 59.08, 93.44, 73.71, 45.75, 91.54, 44.25, 66.75, 33.97, 34.41, 66.47]
mIOU: 65.74, mIOU_reduced: 67.5, accuracy: 94.51
epoch: 275
loss: 0.1810286180430024
epoch: 276
loss: 0.1959459269745652
epoch: 277
loss: 0.18635606689433845
epoch: 278
loss: 0.1938199600119475
epoch: 279
loss: 0.19415802984546138
epoch: 280
loss: 0.17538240592113402
epoch: 281
loss: 0.18627446805531123
epoch: 282
loss: 0.19082740856952102
epoch: 283
loss: 0.19137214142276912
epoch: 284
loss: 0.18297988642258142
epoch: 285
loss: 0.19609792926160474
epoch: 286
loss: 0.18914602152661814
epoch: 287
loss: 0.1658156912803971
epoch: 288
loss: 0.19060421720990595
epoch: 289
loss: 0.18421937842574723
epoch: 290
loss: 0.17262481205225633
epoch: 291
loss: 0.18084609807742574
epoch: 292
loss: 0.1990161492536974
epoch: 293
loss: 0.18919486707111574
epoch: 294
loss: 0.1808033041917089
epoch: 295
loss: 0.1732928334983854
epoch: 296
loss: 0.1819853682844144
epoch: 297
loss: 0.1797904458368885
epoch: 298
loss: 0.1691791275240019
epoch: 299
loss: 0.17500826646134537
IOU: [97.5, 80.32, 89.57, 48.34, 48.7, 55.57, 58.49, 69.21, 90.72, 58.72, 93.83, 74.89, 53.78, 92.0, 50.22, 66.63, 42.81, 41.0, 69.08]
mIOU: 67.44, mIOU_reduced: 68.81, accuracy: 94.58
epoch: 300
loss: 0.19384298614173565
epoch: 301
loss: 0.1848496887079789
epoch: 302
loss: 0.1785616862243719
epoch: 303
loss: 0.1753244182933373
epoch: 304
loss: 0.1750831831738634
epoch: 305
loss: 0.18478014466736836
epoch: 306
loss: 0.1833959244733872
epoch: 307
loss: 0.17829979052440817
epoch: 308
loss: 0.1674020444607799
epoch: 309
loss: 0.1988749945701936
epoch: 310
loss: 0.1879028841812977
epoch: 311
loss: 0.17937731130344847
epoch: 312
loss: 0.18435143767743098
epoch: 313
loss: 0.1694389285866141
epoch: 314
loss: 0.17982787104710093
epoch: 315
loss: 0.17728180982513891
epoch: 316
loss: 0.1896812654328796
epoch: 317
loss: 0.18381116790270227
epoch: 318
loss: 0.18718135222350812
epoch: 319
loss: 0.16952426659289718
epoch: 320
loss: 0.17656333670220928
epoch: 321
loss: 0.1680074533362273
epoch: 322
loss: 0.17857101754438523
epoch: 323
loss: 0.19022213217784772
epoch: 324
loss: 0.1742536874834418
IOU: [97.41, 80.51, 90.16, 49.31, 51.75, 56.77, 60.7, 69.11, 91.16, 60.4, 93.98, 75.02, 50.56, 92.86, 67.22, 71.43, 35.31, 48.92, 69.23]
mIOU: 69.04, mIOU_reduced: 70.92, accuracy: 94.82
epoch: 325
loss: 0.17013786821513163
epoch: 326
loss: 0.17350143015465003
epoch: 327
loss: 0.17224051496089307
epoch: 328
loss: 0.1699352644363825
epoch: 329
loss: 0.16644337476103133
epoch: 330
loss: 0.1710124426092099
epoch: 331
loss: 0.16788281162954727
epoch: 332
loss: 0.16011207044686912
epoch: 333
loss: 0.16414866449858623
epoch: 334
loss: 0.16184876547910454
epoch: 335
loss: 0.1663154345959666
epoch: 336
loss: 0.15892217551280224
epoch: 337
loss: 0.15993595326123533
epoch: 338
loss: 0.16878932212401593
epoch: 339
loss: 0.1662200250313931
epoch: 340
loss: 0.17550436602127198
epoch: 341
loss: 0.17602461865648747
epoch: 342
loss: 0.18784174660466751
epoch: 343
loss: 0.17622602407662374
epoch: 344
loss: 0.16340180906163393
epoch: 345
loss: 0.16449126402403144
epoch: 346
loss: 0.17051064393751705
epoch: 347
loss: 0.1518407069608529
epoch: 348
loss: 0.16399444673822897
epoch: 349
loss: 0.16616504962714213
IOU: [97.53, 81.07, 90.99, 50.8, 49.55, 57.84, 62.35, 70.74, 91.62, 61.18, 93.92, 76.27, 53.4, 93.44, 59.49, 73.0, 57.88, 49.96, 70.28]
mIOU: 70.6, mIOU_reduced: 71.3, accuracy: 95.05
epoch: 350
loss: 0.1540792576787928
epoch: 351
loss: 0.16332600605134373
epoch: 352
loss: 0.16152639239223177
epoch: 353
loss: 0.17407825354215592
epoch: 354
loss: 0.17758213039839044
epoch: 355
loss: 0.16989942696296945
epoch: 356
loss: 0.1766793322410545
epoch: 357
loss: 0.17558020801155394
epoch: 358
loss: 0.18321225810243755
epoch: 359
loss: 0.18414346815521185
epoch: 360
loss: 0.16313554436932357
epoch: 361
loss: 0.16076456355759397
epoch: 362
loss: 0.16415921833637268
epoch: 363
loss: 0.17162647419621682
epoch: 364
loss: 0.16258614397836182
epoch: 365
loss: 0.15960918137969354
epoch: 366
loss: 0.1609577798457801
epoch: 367
loss: 0.16212339239380752
epoch: 368
loss: 0.16493179442265607
epoch: 369
loss: 0.16438587781071984
epoch: 370
loss: 0.16537322091927747
epoch: 371
loss: 0.1509314065151459
epoch: 372
loss: 0.15471266151840155
epoch: 373
loss: 0.1564762349920774
epoch: 374
loss: 0.15701606243125835
IOU: [97.8, 82.41, 90.57, 54.17, 49.81, 57.05, 59.6, 71.51, 90.88, 57.74, 93.44, 75.47, 53.85, 92.88, 68.03, 69.61, 35.0, 41.21, 69.38]
mIOU: 68.97, mIOU_reduced: 70.86, accuracy: 94.97
epoch: 375
loss: 0.15630312910619773
epoch: 376
loss: 0.1491196017581819
epoch: 377
loss: 0.1735150295728943
epoch: 378
loss: 0.16631660062187123
epoch: 379
loss: 0.16098838022375364
epoch: 380
loss: 0.16833057178239616
epoch: 381
loss: 0.16402766516186157
epoch: 382
loss: 0.1589051652147442
epoch: 383
loss: 0.1545567022902625
epoch: 384
loss: 0.15660466597166986
epoch: 385
loss: 0.15236602908356814
epoch: 386
loss: 0.1529296323898025
epoch: 387
loss: 0.1543879158935457
epoch: 388
loss: 0.15418686571146922
epoch: 389
loss: 0.16196211738727806
epoch: 390
loss: 0.15571903108024213
epoch: 391
loss: 0.15163164332790194
epoch: 392
loss: 0.15028835584050562
epoch: 393
loss: 0.14673619564733095
epoch: 394
loss: 0.16095677375632797
epoch: 395
loss: 0.1527178410611384
epoch: 396
loss: 0.16233050005856872
epoch: 397
loss: 0.14862608355331935
epoch: 398
loss: 0.1472951496908607
epoch: 399
loss: 0.14777413641185452
IOU: [97.65, 82.25, 90.73, 49.31, 49.72, 56.15, 62.05, 72.82, 91.11, 59.97, 93.53, 76.1, 53.87, 93.02, 64.27, 71.02, 40.58, 40.43, 70.59]
mIOU: 69.22, mIOU_reduced: 70.81, accuracy: 95.03
epoch: 400
loss: 0.14965209372924024
epoch: 401
loss: 0.14747430821956006
epoch: 402
loss: 0.14584476862233284
epoch: 403
loss: 0.16982320157906436
epoch: 404
loss: 0.15291524100094792
epoch: 405
loss: 0.15027290207115465
epoch: 406
loss: 0.15045529985524253
epoch: 407
loss: 0.14536709348467805
epoch: 408
loss: 0.1581466228492819
epoch: 409
loss: 0.1464133503623407
epoch: 410
loss: 0.14870069555516513
epoch: 411
loss: 0.14892363817383336
epoch: 412
loss: 0.14857998164998232
epoch: 413
loss: 0.14713419200676792
epoch: 414
loss: 0.1495754071122231
epoch: 415
loss: 0.15120381811719055
epoch: 416
loss: 0.14660965795867206
epoch: 417
loss: 0.14610131200392934
epoch: 418
loss: 0.14252988718992296
epoch: 419
loss: 0.15079904922015583
epoch: 420
loss: 0.1584398123734402
epoch: 421
loss: 0.15095886985728682
epoch: 422
loss: 0.14625638783620695
epoch: 423
loss: 0.15428117036096492
epoch: 424
loss: 0.1453327176505022
IOU: [97.94, 82.65, 91.52, 55.95, 57.59, 59.12, 63.41, 73.25, 91.65, 59.16, 94.24, 77.7, 58.14, 93.03, 54.13, 68.27, 31.3, 50.21, 71.52]
mIOU: 70.04, mIOU_reduced: 72.19, accuracy: 95.34
epoch: 425
loss: 0.14678064864279447
epoch: 426
loss: 0.14146625003564067
epoch: 427
loss: 0.13822065566909925
epoch: 428
loss: 0.13478948286360487
epoch: 429
loss: 0.14080933609982385
epoch: 430
loss: 0.14069846431119745
epoch: 431
loss: 0.13997830689515708
epoch: 432
loss: 0.1382279781238088
epoch: 433
loss: 0.13904147205568068
epoch: 434
loss: 0.14147297112205923
epoch: 435
loss: 0.1342858669330489
epoch: 436
loss: 0.13929046005653242
epoch: 437
loss: 0.1406938319779792
epoch: 438
loss: 0.14226771457336662
epoch: 439
loss: 0.14190135663249742
epoch: 440
loss: 0.14300678322980345
epoch: 441
loss: 0.1335538104778994
epoch: 442
loss: 0.13565727293170043
epoch: 443
loss: 0.13235532904088979
epoch: 444
loss: 0.13084423184555496
epoch: 445
loss: 0.13768225655240832
epoch: 446
loss: 0.13978516197991822
epoch: 447
loss: 0.14216549588101252
epoch: 448
loss: 0.1295704552627638
epoch: 449
loss: 0.13626362341192533
IOU: [97.95, 83.31, 91.6, 60.73, 55.88, 59.5, 63.01, 74.01, 91.78, 62.64, 94.62, 78.45, 56.37, 93.1, 61.34, 71.41, 35.53, 49.97, 72.01]
mIOU: 71.22, mIOU_reduced: 73.21, accuracy: 95.51
epoch: 450
loss: 0.13147461237611796
epoch: 451
loss: 0.1290030753154639
epoch: 452
loss: 0.13139236601938134
epoch: 453
loss: 0.13329799872925982
epoch: 454
loss: 0.1298320867181467
epoch: 455
loss: 0.13255065825147772
epoch: 456
loss: 0.12962497660332933
epoch: 457
loss: 0.12912634750100158
epoch: 458
loss: 0.12460334843019591
epoch: 459
loss: 0.12682449526462272
epoch: 460
loss: 0.13209161136269248
epoch: 461
loss: 0.128077582890454
epoch: 462
loss: 0.1331783114779349
epoch: 463
loss: 0.13246713596775203
epoch: 464
loss: 0.1277552169529254
epoch: 465
loss: 0.13118265645523278
epoch: 466
loss: 0.12500866046652317
epoch: 467
loss: 0.12546226438486352
epoch: 468
loss: 0.1271260404843847
epoch: 469
loss: 0.12312923524418289
epoch: 470
loss: 0.11984293875748898
epoch: 471
loss: 0.11874479859705885
epoch: 472
loss: 0.12433533915732749
epoch: 473
loss: 0.12219303802177912
epoch: 474
loss: 0.12121146197388115
IOU: [98.11, 84.74, 91.87, 59.01, 58.7, 60.08, 65.27, 74.16, 92.03, 64.96, 94.67, 78.35, 57.8, 93.96, 72.34, 74.16, 50.99, 51.35, 72.99]
mIOU: 73.45, mIOU_reduced: 74.7, accuracy: 95.72
epoch: 475
loss: 0.12195738786555364
epoch: 476
loss: 0.11892263047055736
epoch: 477
loss: 0.11941667318826095
epoch: 478
loss: 0.12346227905861129
epoch: 479
loss: 0.12200509027811395
epoch: 480
loss: 0.11785071151396335
IOU: [98.08, 84.48, 92.02, 61.35, 58.88, 60.78, 65.21, 74.29, 92.05, 65.34, 94.78, 78.66, 59.56, 93.84, 67.3, 76.12, 53.19, 53.25, 73.03]
mIOU: 73.8, mIOU_reduced: 74.95, accuracy: 95.75
epoch: 481
loss: 0.1208970814822819
IOU: [98.09, 84.65, 92.13, 62.34, 60.56, 60.8, 65.54, 74.64, 91.94, 64.05, 94.78, 78.53, 58.96, 94.04, 73.4, 78.09, 59.0, 51.82, 72.89]
mIOU: 74.54, mIOU_reduced: 75.4, accuracy: 95.78
epoch: 482
loss: 0.12031081873130284
IOU: [98.1, 84.66, 92.03, 61.53, 59.78, 60.64, 65.6, 74.78, 92.03, 64.2, 94.81, 78.32, 56.69, 94.08, 71.23, 76.83, 55.77, 50.76, 72.8]
mIOU: 73.93, mIOU_reduced: 74.94, accuracy: 95.78
epoch: 483
loss: 0.11943945595919282
IOU: [98.12, 84.74, 92.05, 62.54, 60.59, 61.0, 65.47, 74.52, 91.98, 63.8, 94.75, 78.2, 56.9, 94.02, 73.44, 78.06, 60.25, 52.42, 72.89]
mIOU: 74.51, mIOU_reduced: 75.3, accuracy: 95.79
epoch: 484
loss: 0.12285696285352553
IOU: [98.06, 84.56, 92.01, 60.47, 60.52, 60.81, 65.2, 74.67, 92.0, 64.39, 94.77, 78.81, 59.69, 93.97, 71.55, 79.38, 68.4, 53.36, 72.98]
mIOU: 75.03, mIOU_reduced: 75.4, accuracy: 95.77
epoch: 485
loss: 0.1180925870319261
IOU: [98.06, 84.5, 92.09, 61.14, 61.16, 60.74, 65.63, 74.26, 92.02, 64.48, 94.85, 78.99, 60.04, 94.05, 71.71, 77.79, 58.99, 54.24, 72.97]
mIOU: 74.62, mIOU_reduced: 75.48, accuracy: 95.78
epoch: 486
loss: 0.11915011250105187
IOU: [98.11, 84.55, 92.08, 62.19, 60.32, 60.72, 65.23, 74.39, 92.04, 64.58, 94.84, 78.6, 58.75, 94.07, 71.97, 77.83, 59.42, 53.77, 72.77]
mIOU: 74.54, mIOU_reduced: 75.38, accuracy: 95.79
epoch: 487
loss: 0.11614078511245489
IOU: [98.05, 84.24, 92.1, 62.09, 58.9, 60.82, 65.48, 74.7, 92.06, 64.23, 94.73, 79.01, 59.64, 94.14, 72.49, 78.51, 61.62, 55.07, 73.02]
mIOU: 74.78, mIOU_reduced: 75.52, accuracy: 95.78
epoch: 488
loss: 0.116906453998423
IOU: [98.11, 84.67, 92.04, 60.69, 61.08, 60.69, 65.37, 74.46, 92.09, 64.33, 94.71, 78.51, 57.01, 94.1, 71.89, 76.57, 50.15, 54.12, 72.71]
mIOU: 73.86, mIOU_reduced: 75.17, accuracy: 95.78
epoch: 489
loss: 0.11912296448314608
IOU: [98.18, 85.02, 92.05, 59.77, 59.03, 60.91, 65.11, 74.64, 92.03, 64.5, 94.78, 79.04, 59.28, 94.09, 74.4, 79.75, 65.86, 54.94, 73.05]
mIOU: 75.08, mIOU_reduced: 75.59, accuracy: 95.81
epoch: 490
loss: 0.11673973550934676
IOU: [98.12, 84.65, 92.05, 60.39, 58.79, 60.84, 65.16, 75.0, 91.94, 63.76, 94.75, 78.91, 59.19, 94.06, 72.44, 75.61, 44.47, 54.63, 72.91]
mIOU: 73.56, mIOU_reduced: 75.18, accuracy: 95.76
epoch: 491
loss: 0.11923738866241151
IOU: [98.1, 84.63, 92.22, 61.03, 60.1, 61.17, 65.23, 74.94, 92.07, 63.76, 94.78, 79.06, 59.93, 93.98, 70.29, 73.13, 32.86, 55.94, 73.03]
mIOU: 72.96, mIOU_reduced: 75.19, accuracy: 95.77
epoch: 492
loss: 0.11779842962513394
IOU: [98.13, 84.86, 92.16, 60.44, 60.08, 61.25, 65.07, 74.88, 92.08, 64.2, 94.79, 78.69, 58.61, 94.06, 70.49, 74.22, 39.75, 55.57, 72.91]
mIOU: 73.27, mIOU_reduced: 75.14, accuracy: 95.79
epoch: 493
loss: 0.11407098308647418
IOU: [98.13, 84.73, 92.18, 60.39, 60.59, 61.17, 65.13, 74.77, 92.1, 64.59, 94.86, 78.8, 58.94, 94.04, 71.84, 75.06, 42.81, 55.32, 72.97]
mIOU: 73.6, mIOU_reduced: 75.31, accuracy: 95.8
epoch: 494
loss: 0.11841563063088774
IOU: [98.11, 84.68, 92.2, 60.83, 61.29, 61.19, 65.03, 74.94, 92.04, 64.05, 94.75, 78.82, 58.92, 94.14, 73.3, 76.12, 48.42, 53.82, 72.84]
mIOU: 73.97, mIOU_reduced: 75.39, accuracy: 95.8
epoch: 495
loss: 0.11696576843203882
IOU: [98.07, 84.42, 92.19, 61.02, 60.62, 61.26, 65.39, 74.86, 92.07, 64.12, 94.74, 78.77, 58.79, 94.14, 72.8, 77.35, 59.1, 54.05, 72.98]
mIOU: 74.57, mIOU_reduced: 75.42, accuracy: 95.79
epoch: 496
loss: 0.11710426780693936
IOU: [98.13, 84.75, 92.19, 60.48, 61.14, 61.07, 65.48, 74.79, 92.07, 64.12, 94.78, 78.99, 59.52, 94.21, 73.06, 76.83, 56.18, 54.92, 73.11]
mIOU: 74.52, mIOU_reduced: 75.53, accuracy: 95.82
epoch: 497
loss: 0.11600797131376446
IOU: [98.12, 84.67, 92.17, 61.0, 60.68, 61.14, 65.46, 74.94, 92.06, 64.12, 94.8, 79.1, 59.8, 94.21, 73.08, 75.52, 54.3, 54.47, 73.06]
mIOU: 74.35, mIOU_reduced: 75.47, accuracy: 95.82
epoch: 498
loss: 0.11351738368083203
IOU: [98.12, 84.62, 92.16, 60.38, 61.07, 61.09, 65.32, 74.87, 92.07, 64.23, 94.75, 78.9, 59.27, 94.26, 73.85, 75.5, 54.25, 54.37, 73.11]
mIOU: 74.33, mIOU_reduced: 75.44, accuracy: 95.81
epoch: 499
loss: 0.11405587696402542
IOU: [98.12, 84.73, 92.16, 60.95, 61.0, 61.21, 65.37, 74.97, 92.07, 64.15, 94.77, 78.94, 59.34, 94.25, 73.07, 75.86, 57.4, 53.97, 72.98]
mIOU: 74.49, mIOU_reduced: 75.44, accuracy: 95.82
Best mIOU: 75.07533304314865
Best global accuracy: 95.81941366195679
Training time 22:45:03
