{'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', 'batch_size': 8, 'train_min_size': 400, 'train_max_size': 1600, 'train_crop_size': [768, 768], 'val_size': 1024, 'aug_mode': 'randaug_reduced', '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_randaug_reduced_full_res_fair', 'save_best_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_randaug_reduced_full_res_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_randaug_reduced_full_res_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_randaug_reduced_full_res_fair_latest', 'log_path': 'training_log/cityscapes_exp49_decoder14_500_epochs_randaug_reduced_full_res_fair_log.txt'}
run: 1
epoch: 0
loss: 1.1776363888198154
IOU: [79.7, 1.98, 51.11, 0.0, 0.0, 0.0, 0.0, 0.0, 46.99, 7.37, 55.01, 0.0, 0.0, 28.03, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 14.22, mIOU_reduced: 15.01, accuracy: 68.67
epoch: 1
loss: 0.8413449708984868
epoch: 2
loss: 0.7561003846138957
epoch: 3
loss: 0.689705229351784
epoch: 4
loss: 0.6163259980010215
epoch: 5
loss: 0.5723697510209045
epoch: 6
loss: 0.5640599700318514
epoch: 7
loss: 0.5292411330896568
epoch: 8
loss: 0.4890954852746825
epoch: 9
loss: 0.47081401405951406
epoch: 10
loss: 0.47873841760293495
epoch: 11
loss: 0.42879388836837523
epoch: 12
loss: 0.43766194678381126
epoch: 13
loss: 0.41411012720386936
epoch: 14
loss: 0.3962497726042637
epoch: 15
loss: 0.39375726585439597
epoch: 16
loss: 0.38673260161336864
epoch: 17
loss: 0.38198993541802356
epoch: 18
loss: 0.37527719132019827
epoch: 19
loss: 0.3528355451606997
epoch: 20
loss: 0.34129759918325997
epoch: 21
loss: 0.34331821816950797
epoch: 22
loss: 0.349546771245504
epoch: 23
loss: 0.35421959561800376
epoch: 24
loss: 0.32498082161110364
IOU: [94.98, 65.6, 81.87, 11.7, 18.19, 36.39, 20.42, 31.12, 86.22, 40.14, 90.25, 50.39, 3.76, 85.12, 21.65, 41.97, 25.01, 6.69, 46.93]
mIOU: 45.18, mIOU_reduced: 46.3, accuracy: 90.42
epoch: 25
loss: 0.32949363735486875
epoch: 26
loss: 0.3200951896989442
epoch: 27
loss: 0.3241284879230746
epoch: 28
loss: 0.32443154312047673
epoch: 29
loss: 0.31903514768074787
epoch: 30
loss: 0.3166625833495287
epoch: 31
loss: 0.31434073457820716
epoch: 32
loss: 0.3110888386270749
epoch: 33
loss: 0.3058785128223928
epoch: 34
loss: 0.30567102411365255
epoch: 35
loss: 0.29920938623080034
epoch: 36
loss: 0.2989696004802005
epoch: 37
loss: 0.2957125857994563
epoch: 38
loss: 0.30243636900684584
epoch: 39
loss: 0.29210967460089937
epoch: 40
loss: 0.2874481070716426
epoch: 41
loss: 0.27417257476367074
epoch: 42
loss: 0.2767688863360978
epoch: 43
loss: 0.286700204336097
epoch: 44
loss: 0.3066403466173902
epoch: 45
loss: 0.2849008274688875
epoch: 46
loss: 0.2716658157158412
epoch: 47
loss: 0.2844559431799017
epoch: 48
loss: 0.28700933711869375
epoch: 49
loss: 0.2888109951086764
IOU: [92.59, 56.52, 86.28, 11.74, 39.19, 45.8, 38.63, 54.26, 88.38, 41.57, 91.18, 62.13, 33.28, 85.98, 28.83, 44.53, 32.51, 18.08, 58.28]
mIOU: 53.14, mIOU_reduced: 54.29, accuracy: 90.73
epoch: 50
loss: 0.2796190459371577
epoch: 51
loss: 0.28257775543674307
epoch: 52
loss: 0.27485917647170893
epoch: 53
loss: 0.2732418977587692
epoch: 54
loss: 0.28612958758346474
epoch: 55
loss: 0.2823866916232996
epoch: 56
loss: 0.262055284973746
epoch: 57
loss: 0.2585913921703868
epoch: 58
loss: 0.2663849652857793
epoch: 59
loss: 0.271058320035189
epoch: 60
loss: 0.2696737351443247
epoch: 61
loss: 0.2591982748951873
epoch: 62
loss: 0.2564272523890287
epoch: 63
loss: 0.27794228132683635
epoch: 64
loss: 0.25533028830575816
epoch: 65
loss: 0.26209581914455743
epoch: 66
loss: 0.24835714840423065
epoch: 67
loss: 0.2384378390331474
epoch: 68
loss: 0.2511284970289292
epoch: 69
loss: 0.2594990813025246
epoch: 70
loss: 0.2597850324570972
epoch: 71
loss: 0.2602509148519315
epoch: 72
loss: 0.24070677848035757
epoch: 73
loss: 0.2412541137752186
epoch: 74
loss: 0.2563433273220962
IOU: [96.82, 76.19, 88.09, 45.05, 38.9, 49.86, 40.62, 57.64, 89.99, 53.8, 90.66, 68.44, 42.75, 89.9, 31.26, 60.9, 49.39, 26.64, 62.94]
mIOU: 61.04, mIOU_reduced: 61.69, accuracy: 93.53
epoch: 75
loss: 0.2585619762740688
epoch: 76
loss: 0.25380572532065154
epoch: 77
loss: 0.2579438667493368
epoch: 78
loss: 0.24109376585387154
epoch: 79
loss: 0.24799287708782441
epoch: 80
loss: 0.25548030024349205
epoch: 81
loss: 0.24749578266452266
epoch: 82
loss: 0.24012575304572473
epoch: 83
loss: 0.23557874269160942
epoch: 84
loss: 0.24408006093733395
epoch: 85
loss: 0.2575721773256189
epoch: 86
loss: 0.2541309915021102
epoch: 87
loss: 0.231480654539927
epoch: 88
loss: 0.23663189816426716
epoch: 89
loss: 0.2271522444213497
epoch: 90
loss: 0.24574496189378342
epoch: 91
loss: 0.2316950656212565
epoch: 92
loss: 0.23670809075356816
epoch: 93
loss: 0.22834063853536332
epoch: 94
loss: 0.23162054734409981
epoch: 95
loss: 0.2239353772443581
epoch: 96
loss: 0.2368489357861226
epoch: 97
loss: 0.22803229924964133
epoch: 98
loss: 0.235662565960717
epoch: 99
loss: 0.23939504717398846
IOU: [96.94, 77.03, 87.87, 23.98, 40.66, 48.62, 42.43, 59.64, 88.1, 40.79, 92.27, 68.9, 37.02, 90.57, 47.74, 65.86, 35.4, 31.99, 63.63]
mIOU: 59.97, mIOU_reduced: 61.34, accuracy: 93.31
epoch: 100
loss: 0.2278923140060548
epoch: 101
loss: 0.23497767286560928
epoch: 102
loss: 0.24477593070573883
epoch: 103
loss: 0.24045879749274962
epoch: 104
loss: 0.22153209021309958
epoch: 105
loss: 0.24401109766044385
epoch: 106
loss: 0.23302216428229108
epoch: 107
loss: 0.2380752146766192
epoch: 108
loss: 0.21645468425236622
epoch: 109
loss: 0.24094269563245646
epoch: 110
loss: 0.22342789781623773
epoch: 111
loss: 0.2358579526572536
epoch: 112
loss: 0.23295395309231032
epoch: 113
loss: 0.22711480501286102
epoch: 114
loss: 0.2382049582637545
epoch: 115
loss: 0.22344919324242524
epoch: 116
loss: 0.22452253169528236
epoch: 117
loss: 0.2305148536304258
epoch: 118
loss: 0.2178416641132851
epoch: 119
loss: 0.2198636410531972
epoch: 120
loss: 0.24266723356638958
epoch: 121
loss: 0.2335578470699228
epoch: 122
loss: 0.21736014381332217
epoch: 123
loss: 0.22052986831517232
epoch: 124
loss: 0.22071847466204686
IOU: [97.18, 77.47, 87.58, 36.75, 42.21, 46.87, 45.0, 64.2, 88.99, 51.72, 92.61, 65.91, 43.15, 90.9, 51.06, 54.71, 51.86, 13.3, 60.04]
mIOU: 61.13, mIOU_reduced: 61.65, accuracy: 93.46
epoch: 125
loss: 0.22466089335493644
epoch: 126
loss: 0.2333112641004218
epoch: 127
loss: 0.22010916186310853
epoch: 128
loss: 0.23181975474254782
epoch: 129
loss: 0.2214530168799056
epoch: 130
loss: 0.21395325580375857
epoch: 131
loss: 0.20315417625271084
epoch: 132
loss: 0.22071269499966398
epoch: 133
loss: 0.2056858522310411
epoch: 134
loss: 0.20246673951733787
epoch: 135
loss: 0.21289147960770163
epoch: 136
loss: 0.22094408972967025
epoch: 137
loss: 0.22571613750046476
epoch: 138
loss: 0.21179381167551256
epoch: 139
loss: 0.23119679354432457
epoch: 140
loss: 0.22140147065055982
epoch: 141
loss: 0.2213604849866137
epoch: 142
loss: 0.20683458041791325
epoch: 143
loss: 0.20608129715823098
epoch: 144
loss: 0.20419695589821937
epoch: 145
loss: 0.21609120599102138
epoch: 146
loss: 0.20304901120717314
epoch: 147
loss: 0.20757666348688045
epoch: 148
loss: 0.21618805227253957
epoch: 149
loss: 0.21601750528957
IOU: [97.33, 79.01, 89.2, 36.33, 48.92, 51.33, 50.93, 66.89, 91.01, 59.81, 93.17, 72.27, 48.44, 92.0, 57.85, 73.62, 62.29, 36.78, 66.46]
mIOU: 67.03, mIOU_reduced: 67.3, accuracy: 94.42
epoch: 150
loss: 0.20682112485009704
epoch: 151
loss: 0.20658812832559215
epoch: 152
loss: 0.204494858466872
epoch: 153
loss: 0.20453024073190124
epoch: 154
loss: 0.21626860797003594
epoch: 155
loss: 0.2165704501084883
epoch: 156
loss: 0.2238657100382198
epoch: 157
loss: 0.2072153771823307
epoch: 158
loss: 0.20220260914525576
epoch: 159
loss: 0.1899727407210278
epoch: 160
loss: 0.18993476171779505
epoch: 161
loss: 0.20622676143026095
epoch: 162
loss: 0.22688421841981918
epoch: 163
loss: 0.20633466114011415
epoch: 164
loss: 0.21331798903784663
epoch: 165
loss: 0.20821020402757306
epoch: 166
loss: 0.2106979363610481
epoch: 167
loss: 0.21281643641605533
epoch: 168
loss: 0.19734182612433265
epoch: 169
loss: 0.2150160075037306
epoch: 170
loss: 0.1977688482990162
epoch: 171
loss: 0.1917749469010335
epoch: 172
loss: 0.1964580191354546
epoch: 173
loss: 0.19588656219430367
epoch: 174
loss: 0.1995051505792173
IOU: [97.09, 78.62, 89.19, 47.51, 40.48, 52.85, 53.74, 64.74, 90.74, 59.25, 93.31, 73.47, 49.45, 92.25, 63.75, 73.13, 66.97, 34.52, 66.6]
mIOU: 67.77, mIOU_reduced: 67.82, accuracy: 94.35
epoch: 175
loss: 0.19162359815643162
epoch: 176
loss: 0.2019356157821465
epoch: 177
loss: 0.1965438499243433
epoch: 178
loss: 0.18809902579636587
epoch: 179
loss: 0.20302119533810012
epoch: 180
loss: 0.20698315903263273
epoch: 181
loss: 0.21453906862803226
epoch: 182
loss: 0.20499513354503884
epoch: 183
loss: 0.20858592045997995
epoch: 184
loss: 0.19137277142860176
epoch: 185
loss: 0.20885770077091664
epoch: 186
loss: 0.1989691367327685
epoch: 187
loss: 0.19864254870585032
epoch: 188
loss: 0.19643698070409163
epoch: 189
loss: 0.19830682213014028
epoch: 190
loss: 0.2125048433754322
epoch: 191
loss: 0.21107901098593226
epoch: 192
loss: 0.2041282398360116
epoch: 193
loss: 0.19566381807034872
epoch: 194
loss: 0.19420247288004086
epoch: 195
loss: 0.1929003206706754
epoch: 196
loss: 0.20259107143249153
epoch: 197
loss: 0.1930821962112365
epoch: 198
loss: 0.19497685417573085
epoch: 199
loss: 0.18646199123637697
IOU: [97.42, 80.4, 89.7, 38.2, 47.98, 55.04, 49.27, 67.98, 90.71, 55.88, 93.32, 72.95, 47.85, 91.4, 46.62, 75.88, 64.72, 23.0, 55.44]
mIOU: 65.46, mIOU_reduced: 65.5, accuracy: 94.34
epoch: 200
loss: 0.1864055907429068
epoch: 201
loss: 0.18580532831082125
epoch: 202
loss: 0.2001652306302217
epoch: 203
loss: 0.20751755122306212
epoch: 204
loss: 0.19899306500536412
epoch: 205
loss: 0.1937257099866546
epoch: 206
loss: 0.19183017010235723
epoch: 207
loss: 0.18242258614687265
epoch: 208
loss: 0.18639223729423435
epoch: 209
loss: 0.19904907357017948
epoch: 210
loss: 0.1967005340277024
epoch: 211
loss: 0.19792995075732872
epoch: 212
loss: 0.18531761276272107
epoch: 213
loss: 0.18733323520084597
epoch: 214
loss: 0.18855936923679315
epoch: 215
loss: 0.193779401782388
epoch: 216
loss: 0.18629896409829672
epoch: 217
loss: 0.19593081830164813
epoch: 218
loss: 0.18420207556688561
epoch: 219
loss: 0.1820868884496933
epoch: 220
loss: 0.1761374228566162
epoch: 221
loss: 0.19813614043424715
epoch: 222
loss: 0.19224894380151744
epoch: 223
loss: 0.21145135367093382
epoch: 224
loss: 0.18750622980999496
IOU: [97.01, 77.21, 89.27, 33.96, 52.66, 54.29, 54.49, 68.34, 90.75, 60.66, 92.88, 72.93, 47.42, 92.32, 45.26, 73.08, 61.39, 36.62, 68.25]
mIOU: 66.78, mIOU_reduced: 67.08, accuracy: 94.31
epoch: 225
loss: 0.1801148884179136
epoch: 226
loss: 0.17777388689492268
epoch: 227
loss: 0.18057787327994554
epoch: 228
loss: 0.18215990620803318
epoch: 229
loss: 0.18609267113745373
epoch: 230
loss: 0.19136548158775443
epoch: 231
loss: 0.17927347336496627
epoch: 232
loss: 0.18229130647494143
epoch: 233
loss: 0.18870986359460012
epoch: 234
loss: 0.1796099169235024
epoch: 235
loss: 0.1960278351030581
epoch: 236
loss: 0.17879347059363626
epoch: 237
loss: 0.19882444246117317
epoch: 238
loss: 0.1801302281793237
epoch: 239
loss: 0.19960991048186294
epoch: 240
loss: 0.18535182349926058
epoch: 241
loss: 0.174633810522582
epoch: 242
loss: 0.1759927099686106
epoch: 243
loss: 0.18858660004450625
epoch: 244
loss: 0.179868662172572
epoch: 245
loss: 0.182561760964098
epoch: 246
loss: 0.17704734672111963
epoch: 247
loss: 0.20270094207194295
epoch: 248
loss: 0.18646882243474538
epoch: 249
loss: 0.1826320445601831
IOU: [97.49, 80.56, 89.79, 44.55, 53.33, 55.22, 55.07, 68.67, 90.53, 50.96, 93.5, 74.24, 54.39, 92.18, 46.22, 71.74, 59.95, 45.69, 68.07]
mIOU: 68.01, mIOU_reduced: 68.46, accuracy: 94.59
epoch: 250
loss: 0.17729325737111332
epoch: 251
loss: 0.18342462274424148
epoch: 252
loss: 0.16747245335113006
epoch: 253
loss: 0.19085116003642508
epoch: 254
loss: 0.18111198941732673
epoch: 255
loss: 0.17696878667468974
epoch: 256
loss: 0.1816403833682325
epoch: 257
loss: 0.17395481668071283
epoch: 258
loss: 0.1760058454426151
epoch: 259
loss: 0.1823082107779472
epoch: 260
loss: 0.17702456023493868
epoch: 261
loss: 0.17723213274764887
epoch: 262
loss: 0.18286476611609087
epoch: 263
loss: 0.18340315754121206
epoch: 264
loss: 0.17916342614072994
epoch: 265
loss: 0.17295087126869396
epoch: 266
loss: 0.17451270061201163
epoch: 267
loss: 0.18370752410104654
epoch: 268
loss: 0.17734865237760417
epoch: 269
loss: 0.16631828768635695
epoch: 270
loss: 0.17199227571326767
epoch: 271
loss: 0.18565359062984627
epoch: 272
loss: 0.17979174047065874
epoch: 273
loss: 0.1751253783823345
epoch: 274
loss: 0.1723189619030914
IOU: [97.57, 81.45, 90.68, 47.54, 53.62, 56.96, 58.34, 70.03, 90.89, 61.13, 94.11, 76.05, 55.25, 91.72, 35.9, 73.03, 69.5, 47.73, 70.13]
mIOU: 69.56, mIOU_reduced: 69.56, accuracy: 94.93
epoch: 275
loss: 0.19534741414364457
epoch: 276
loss: 0.17922234816371269
epoch: 277
loss: 0.16799586453045795
epoch: 278
loss: 0.1799720173495799
epoch: 279
loss: 0.18183550831040926
epoch: 280
loss: 0.17439195089986062
epoch: 281
loss: 0.16908331032631532
epoch: 282
loss: 0.17211368826602025
epoch: 283
loss: 0.17474121751007687
epoch: 284
loss: 0.17175465671601642
epoch: 285
loss: 0.16817046908757113
epoch: 286
loss: 0.16844769012976207
epoch: 287
loss: 0.1696721998588094
epoch: 288
loss: 0.17420045999343184
epoch: 289
loss: 0.16803066659407473
epoch: 290
loss: 0.18139666411272598
epoch: 291
loss: 0.172767068036001
epoch: 292
loss: 0.17923842870562545
epoch: 293
loss: 0.16996701710388024
epoch: 294
loss: 0.17191428022403923
epoch: 295
loss: 0.16532056718422075
epoch: 296
loss: 0.16747921000352767
epoch: 297
loss: 0.16166115076233434
epoch: 298
loss: 0.16103737805329885
epoch: 299
loss: 0.16308412036163145
IOU: [97.42, 81.02, 90.18, 43.51, 51.74, 55.73, 59.43, 70.39, 90.98, 60.06, 93.24, 74.22, 52.32, 91.55, 41.11, 61.29, 58.35, 39.64, 68.72]
mIOU: 67.42, mIOU_reduced: 67.92, accuracy: 94.61
epoch: 300
loss: 0.1816138328929153
epoch: 301
loss: 0.165519987215411
epoch: 302
loss: 0.17326017969220153
epoch: 303
loss: 0.16277260893599363
epoch: 304
loss: 0.16938981118629565
epoch: 305
loss: 0.1678096999256116
epoch: 306
loss: 0.17636732508069422
epoch: 307
loss: 0.1671981897476227
epoch: 308
loss: 0.1635772354519271
epoch: 309
loss: 0.1573051469465793
epoch: 310
loss: 0.1640243686916372
epoch: 311
loss: 0.15919838681053922
epoch: 312
loss: 0.15449744458950435
epoch: 313
loss: 0.1631383748067357
epoch: 314
loss: 0.16844970510012378
epoch: 315
loss: 0.1690647641643681
epoch: 316
loss: 0.1620153930951964
epoch: 317
loss: 0.16268836112436902
epoch: 318
loss: 0.17805007772866607
epoch: 319
loss: 0.17091636873801763
epoch: 320
loss: 0.1592850157554259
epoch: 321
loss: 0.16643112146790137
epoch: 322
loss: 0.1605444185014041
epoch: 323
loss: 0.15346758854839038
epoch: 324
loss: 0.1566410768787173
IOU: [97.94, 83.54, 91.14, 55.22, 55.17, 58.4, 62.23, 72.67, 91.77, 60.51, 93.79, 76.57, 54.99, 93.02, 49.46, 77.75, 67.92, 46.21, 71.48]
mIOU: 71.57, mIOU_reduced: 71.77, accuracy: 95.32
epoch: 325
loss: 0.16066867962600087
epoch: 326
loss: 0.1592147070161416
epoch: 327
loss: 0.15893572984599683
epoch: 328
loss: 0.16828076276335754
epoch: 329
loss: 0.17836485622385442
epoch: 330
loss: 0.16781385307202765
epoch: 331
loss: 0.15839982737669084
epoch: 332
loss: 0.15692129353628648
epoch: 333
loss: 0.17343586060718064
epoch: 334
loss: 0.16166323264734442
epoch: 335
loss: 0.1617491579642193
epoch: 336
loss: 0.16045289452506525
epoch: 337
loss: 0.17197094817527864
epoch: 338
loss: 0.16026124014767676
epoch: 339
loss: 0.16215176663469433
epoch: 340
loss: 0.16579813917852798
epoch: 341
loss: 0.15189804825580344
epoch: 342
loss: 0.15617042458603644
epoch: 343
loss: 0.15585531366642594
epoch: 344
loss: 0.1587724244056365
epoch: 345
loss: 0.1527970233415015
epoch: 346
loss: 0.16862994332037204
epoch: 347
loss: 0.159952806354051
epoch: 348
loss: 0.1588373491264418
epoch: 349
loss: 0.16909167284994434
IOU: [97.55, 81.37, 90.65, 46.38, 52.93, 57.24, 61.93, 70.04, 91.75, 60.7, 93.65, 76.63, 54.42, 93.1, 58.16, 74.13, 56.28, 48.86, 71.33]
mIOU: 70.37, mIOU_reduced: 71.16, accuracy: 95.06
epoch: 350
loss: 0.15122441405234632
epoch: 351
loss: 0.155192452440204
epoch: 352
loss: 0.15595770886323523
epoch: 353
loss: 0.15016159656234185
epoch: 354
loss: 0.169763929117722
epoch: 355
loss: 0.16276777057715183
epoch: 356
loss: 0.15191291487522202
epoch: 357
loss: 0.1579932307779307
epoch: 358
loss: 0.15554350546267476
epoch: 359
loss: 0.1503438971675631
epoch: 360
loss: 0.1653574899120151
epoch: 361
loss: 0.14259341537872094
epoch: 362
loss: 0.15511553350966575
epoch: 363
loss: 0.14847262759976632
epoch: 364
loss: 0.14640106708614653
epoch: 365
loss: 0.14578879678827733
epoch: 366
loss: 0.15321807290183886
epoch: 367
loss: 0.15332120699140261
epoch: 368
loss: 0.14887804011851952
epoch: 369
loss: 0.14255670556482278
epoch: 370
loss: 0.14793928204521015
epoch: 371
loss: 0.1461317442216963
epoch: 372
loss: 0.15470961893022542
epoch: 373
loss: 0.15202188680596107
epoch: 374
loss: 0.14521258902758602
IOU: [97.61, 80.87, 90.25, 38.47, 50.2, 58.16, 61.96, 72.62, 91.22, 59.55, 93.31, 76.87, 56.78, 93.41, 68.35, 76.21, 61.24, 43.43, 70.5]
mIOU: 70.58, mIOU_reduced: 71.1, accuracy: 94.92
epoch: 375
loss: 0.15101977638558878
epoch: 376
loss: 0.14597197949404345
epoch: 377
loss: 0.13972166542094352
epoch: 378
loss: 0.14698289668142314
epoch: 379
loss: 0.14622354218259334
epoch: 380
loss: 0.14188751708866773
epoch: 381
loss: 0.1509793310594366
epoch: 382
loss: 0.14495818385216747
epoch: 383
loss: 0.15713253589171283
epoch: 384
loss: 0.15968553541162908
epoch: 385
loss: 0.14649166777288175
epoch: 386
loss: 0.13869828835250234
epoch: 387
loss: 0.13943523869440563
epoch: 388
loss: 0.1377989786433563
epoch: 389
loss: 0.16094523114014186
epoch: 390
loss: 0.13864027136419663
epoch: 391
loss: 0.14242946432848183
epoch: 392
loss: 0.13615963011578408
epoch: 393
loss: 0.1356488959888885
epoch: 394
loss: 0.13671368553310714
epoch: 395
loss: 0.14694178220878715
epoch: 396
loss: 0.139878756795932
epoch: 397
loss: 0.1491882919341406
epoch: 398
loss: 0.15795380828997516
epoch: 399
loss: 0.14752543376221489
IOU: [97.82, 82.57, 91.36, 52.97, 56.36, 59.01, 62.86, 72.86, 91.74, 60.05, 94.01, 77.85, 56.91, 93.78, 68.71, 77.72, 59.46, 56.44, 71.97]
mIOU: 72.87, mIOU_reduced: 73.61, accuracy: 95.39
epoch: 400
loss: 0.1401801413361917
epoch: 401
loss: 0.1416604442978805
epoch: 402
loss: 0.13828210522624038
epoch: 403
loss: 0.14550925080345647
epoch: 404
loss: 0.13690385156162987
epoch: 405
loss: 0.1379611120632074
epoch: 406
loss: 0.1583227569041548
epoch: 407
loss: 0.14002988561787053
epoch: 408
loss: 0.13608988770095487
epoch: 409
loss: 0.1348854219214614
epoch: 410
loss: 0.13279486748809122
epoch: 411
loss: 0.12976570507747465
epoch: 412
loss: 0.13817827518015216
epoch: 413
loss: 0.13536076392285587
epoch: 414
loss: 0.13512125506876613
epoch: 415
loss: 0.132117416498796
epoch: 416
loss: 0.13400418676857678
epoch: 417
loss: 0.12933218163862384
epoch: 418
loss: 0.13451531784473403
epoch: 419
loss: 0.13274935865900267
epoch: 420
loss: 0.14166193585993467
epoch: 421
loss: 0.13855371810997913
epoch: 422
loss: 0.13717495439187535
epoch: 423
loss: 0.13666593479218508
epoch: 424
loss: 0.12887671449274388
IOU: [97.88, 83.3, 91.49, 50.21, 57.13, 60.84, 65.17, 75.2, 91.98, 60.38, 94.42, 78.66, 58.63, 93.63, 68.19, 83.17, 73.6, 51.44, 72.64]
mIOU: 74.1, mIOU_reduced: 74.13, accuracy: 95.53
epoch: 425
loss: 0.12728044805380534
epoch: 426
loss: 0.12905348100350553
epoch: 427
loss: 0.13112850336614001
epoch: 428
loss: 0.12859885019031816
epoch: 429
loss: 0.12854985484095274
epoch: 430
loss: 0.12642167679302777
epoch: 431
loss: 0.12533683448306956
epoch: 432
loss: 0.1281990377568813
epoch: 433
loss: 0.1357419186766257
epoch: 434
loss: 0.12867670759277525
epoch: 435
loss: 0.12799891034226532
epoch: 436
loss: 0.12670323865191957
epoch: 437
loss: 0.1259501328004017
epoch: 438
loss: 0.12350608496813761
epoch: 439
loss: 0.1242740308097752
epoch: 440
loss: 0.1264262714114472
epoch: 441
loss: 0.12845261194153296
epoch: 442
loss: 0.12305519026967715
epoch: 443
loss: 0.12450015303902227
epoch: 444
loss: 0.12329995449421541
epoch: 445
loss: 0.12210536524251786
epoch: 446
loss: 0.11819144653663481
epoch: 447
loss: 0.12361182957245012
epoch: 448
loss: 0.1304081659513021
epoch: 449
loss: 0.1267809666432139
IOU: [97.95, 83.21, 91.98, 53.94, 61.73, 60.11, 65.23, 75.63, 92.14, 62.31, 94.64, 78.97, 59.63, 94.21, 71.52, 83.25, 74.83, 57.28, 73.2]
mIOU: 75.36, mIOU_reduced: 75.38, accuracy: 95.72
epoch: 450
loss: 0.1209680736868208
epoch: 451
loss: 0.12007751028653425
epoch: 452
loss: 0.12240695358929288
epoch: 453
loss: 0.11970980439304985
epoch: 454
loss: 0.11783779300046417
epoch: 455
loss: 0.11589909766642552
epoch: 456
loss: 0.11824698811472266
epoch: 457
loss: 0.11850175978440158
epoch: 458
loss: 0.11973213940617852
epoch: 459
loss: 0.11730143265181153
epoch: 460
loss: 0.11823973278552695
epoch: 461
loss: 0.1196362808989386
epoch: 462
loss: 0.11827136477771795
epoch: 463
loss: 0.11868278645079412
epoch: 464
loss: 0.11676588035979361
epoch: 465
loss: 0.11741254012780691
epoch: 466
loss: 0.11675276623340951
epoch: 467
loss: 0.11716774340990098
epoch: 468
loss: 0.11521971310084721
epoch: 469
loss: 0.11454543413097325
epoch: 470
loss: 0.1117970776365131
epoch: 471
loss: 0.11732698643625264
epoch: 472
loss: 0.11374206105975128
epoch: 473
loss: 0.11333182545484237
epoch: 474
loss: 0.11136912178961093
IOU: [98.06, 84.2, 92.37, 55.94, 61.75, 61.66, 66.91, 76.01, 92.34, 63.97, 94.69, 79.81, 60.84, 94.39, 74.78, 84.94, 77.09, 58.07, 74.11]
mIOU: 76.42, mIOU_reduced: 76.38, accuracy: 95.89
epoch: 475
loss: 0.11238816827334805
epoch: 476
loss: 0.11286490882503376
epoch: 477
loss: 0.1142568194440433
epoch: 478
loss: 0.11363967632588672
epoch: 479
loss: 0.11180476519979557
epoch: 480
loss: 0.10914055860508484
IOU: [98.03, 84.14, 92.09, 54.16, 61.66, 61.76, 66.78, 76.16, 92.34, 64.23, 94.75, 79.68, 60.95, 94.27, 69.51, 82.75, 72.96, 57.83, 74.08]
mIOU: 75.69, mIOU_reduced: 75.84, accuracy: 95.83
epoch: 481
loss: 0.11208097012136181
IOU: [98.03, 84.06, 92.2, 55.2, 62.13, 61.95, 67.18, 75.83, 92.38, 64.25, 94.71, 79.72, 61.02, 94.38, 73.06, 83.98, 75.92, 58.4, 73.75]
mIOU: 76.22, mIOU_reduced: 76.24, accuracy: 95.86
epoch: 482
loss: 0.11270256889758085
IOU: [98.01, 83.99, 92.16, 56.0, 61.73, 61.59, 66.72, 75.93, 92.33, 62.47, 94.77, 79.76, 60.73, 94.36, 75.16, 84.58, 76.47, 57.65, 74.03]
mIOU: 76.23, mIOU_reduced: 76.22, accuracy: 95.83
epoch: 483
loss: 0.1115544128891914
IOU: [98.04, 84.22, 92.18, 57.56, 62.35, 61.94, 67.15, 76.01, 92.45, 64.56, 94.58, 79.64, 60.49, 94.38, 74.4, 85.17, 80.63, 59.14, 74.31]
mIOU: 76.8, mIOU_reduced: 76.59, accuracy: 95.9
epoch: 484
loss: 0.11003501416055983
IOU: [98.01, 84.12, 92.23, 56.6, 62.53, 61.99, 67.23, 76.26, 92.43, 63.55, 94.72, 79.77, 60.1, 94.41, 74.14, 84.77, 79.84, 59.28, 74.38]
mIOU: 76.65, mIOU_reduced: 76.47, accuracy: 95.88
epoch: 485
loss: 0.11002306010564061
IOU: [98.0, 83.98, 92.28, 56.98, 62.65, 62.05, 67.32, 76.12, 92.35, 64.17, 94.78, 79.64, 60.53, 94.43, 73.42, 84.66, 78.29, 59.59, 74.19]
mIOU: 76.6, mIOU_reduced: 76.51, accuracy: 95.88
epoch: 486
loss: 0.10847999433663014
IOU: [98.02, 84.06, 92.18, 56.4, 62.34, 62.08, 67.14, 76.07, 92.43, 64.39, 94.69, 79.56, 60.48, 94.4, 73.75, 85.01, 79.21, 58.8, 74.28]
mIOU: 76.59, mIOU_reduced: 76.45, accuracy: 95.88
epoch: 487
loss: 0.10944729342534536
IOU: [97.94, 83.74, 92.24, 58.97, 61.81, 61.93, 67.07, 76.14, 92.44, 64.32, 94.67, 79.62, 60.6, 94.4, 71.87, 84.36, 76.99, 59.04, 74.35]
mIOU: 76.45, mIOU_reduced: 76.42, accuracy: 95.86
epoch: 488
loss: 0.1084482016448544
IOU: [97.97, 83.79, 92.21, 57.13, 62.41, 61.95, 67.1, 76.01, 92.33, 63.61, 94.7, 79.81, 61.01, 94.47, 75.52, 85.27, 78.6, 58.71, 74.41]
mIOU: 76.68, mIOU_reduced: 76.58, accuracy: 95.86
epoch: 489
loss: 0.10830405582435369
IOU: [98.1, 84.61, 92.27, 57.42, 62.34, 62.04, 67.0, 76.27, 92.51, 64.21, 94.66, 79.78, 61.33, 94.43, 75.13, 85.0, 78.39, 58.89, 74.63]
mIOU: 76.79, mIOU_reduced: 76.7, accuracy: 95.94
epoch: 490
loss: 0.1084694079351875
IOU: [98.05, 84.34, 92.2, 56.74, 62.31, 62.2, 67.05, 76.5, 92.44, 63.85, 94.77, 79.84, 60.95, 94.42, 75.18, 85.55, 79.16, 58.74, 74.47]
mIOU: 76.78, mIOU_reduced: 76.64, accuracy: 95.91
epoch: 491
loss: 0.10971139691709829
IOU: [98.05, 84.36, 92.26, 56.64, 62.26, 62.23, 67.12, 76.49, 92.48, 63.93, 94.76, 79.91, 61.15, 94.37, 76.28, 85.44, 77.62, 59.18, 74.42]
mIOU: 76.79, mIOU_reduced: 76.74, accuracy: 95.91
epoch: 492
loss: 0.10972443797356998
IOU: [98.08, 84.47, 92.26, 56.58, 62.49, 62.15, 67.07, 76.34, 92.44, 63.73, 94.74, 79.88, 60.97, 94.45, 76.01, 85.48, 78.68, 60.02, 74.38]
mIOU: 76.85, mIOU_reduced: 76.75, accuracy: 95.92
epoch: 493
loss: 0.10857453713359216
IOU: [98.08, 84.49, 92.23, 56.88, 61.75, 62.27, 67.17, 76.59, 92.42, 64.21, 94.8, 79.85, 61.04, 94.45, 75.97, 85.66, 78.51, 60.54, 74.35]
mIOU: 76.91, mIOU_reduced: 76.82, accuracy: 95.92
epoch: 494
loss: 0.1070088367015525
IOU: [98.12, 84.71, 92.28, 56.88, 62.24, 62.08, 67.23, 76.34, 92.46, 63.9, 94.8, 79.83, 61.08, 94.46, 74.93, 84.59, 76.66, 60.07, 74.57]
mIOU: 76.7, mIOU_reduced: 76.7, accuracy: 95.94
epoch: 495
loss: 0.10793161183354669
IOU: [98.09, 84.55, 92.29, 57.27, 62.21, 62.55, 67.29, 76.45, 92.35, 62.88, 94.83, 80.02, 61.24, 94.46, 74.91, 84.48, 77.07, 59.91, 74.41]
mIOU: 76.7, mIOU_reduced: 76.68, accuracy: 95.91
epoch: 496
loss: 0.10834279730715199
IOU: [98.09, 84.59, 92.36, 58.3, 62.25, 62.14, 67.03, 76.39, 92.4, 63.4, 94.81, 79.95, 60.88, 94.48, 75.32, 84.83, 77.41, 59.94, 74.44]
mIOU: 76.79, mIOU_reduced: 76.76, accuracy: 95.94
epoch: 497
loss: 0.10669877498618997
IOU: [98.11, 84.67, 92.3, 57.4, 61.58, 62.1, 66.98, 76.41, 92.43, 63.79, 94.82, 79.93, 61.04, 94.48, 74.9, 84.83, 77.93, 59.97, 74.36]
mIOU: 76.74, mIOU_reduced: 76.67, accuracy: 95.94
epoch: 498
loss: 0.10602794390804363
IOU: [98.1, 84.66, 92.29, 56.79, 61.84, 61.88, 67.05, 76.32, 92.44, 63.9, 94.8, 79.8, 60.98, 94.48, 74.55, 85.02, 78.17, 59.38, 74.37]
mIOU: 76.67, mIOU_reduced: 76.59, accuracy: 95.93
epoch: 499
loss: 0.10802122246664811
IOU: [98.09, 84.56, 92.28, 57.03, 61.53, 62.26, 67.19, 76.3, 92.45, 63.83, 94.79, 79.84, 61.1, 94.49, 75.05, 84.76, 78.33, 59.52, 74.44]
mIOU: 76.73, mIOU_reduced: 76.64, accuracy: 95.93
Best mIOU: 76.90821035284745
Best global accuracy: 95.94095349311829
Training time 1 day, 2:27:56
mIOUs: [76.90821035284745]
global_accuracies: [95.94095349311829]
