{'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': [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_exp49_decoder14_500_epochs_400_1600_resize_768_768_crop_fair', 'save_best_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_768_768_crop_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_768_768_crop_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_768_768_crop_fair_latest', 'log_path': 'training_log/cityscapes_exp49_decoder14_500_epochs_400_1600_resize_768_768_crop_fair_log.txt'}
run: 1
epoch: 0
loss: 1.1627724982014884
IOU: [83.09, 3.48, 41.03, 0.0, 0.0, 0.0, 0.0, 0.0, 51.48, 10.64, 50.56, 0.05, 0.0, 32.95, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 14.38, mIOU_reduced: 15.18, accuracy: 69.51
epoch: 1
loss: 0.8615796742734884
epoch: 2
loss: 0.7261437708637464
epoch: 3
loss: 0.6618502144864948
epoch: 4
loss: 0.6081219771801623
epoch: 5
loss: 0.5755387463498951
epoch: 6
loss: 0.5789549876898126
epoch: 7
loss: 0.5370214198316846
epoch: 8
loss: 0.469553444665076
epoch: 9
loss: 0.460382709565831
epoch: 10
loss: 0.46059986105505024
epoch: 11
loss: 0.4233128013957864
epoch: 12
loss: 0.4283025614575877
epoch: 13
loss: 0.39087687099397667
epoch: 14
loss: 0.4044995029579918
epoch: 15
loss: 0.3782061232791114
epoch: 16
loss: 0.3710009231159308
epoch: 17
loss: 0.37041388829602706
epoch: 18
loss: 0.35507629209290936
epoch: 19
loss: 0.33169912548881336
epoch: 20
loss: 0.3357842072965
epoch: 21
loss: 0.3471170399950521
epoch: 22
loss: 0.33763293508249476
epoch: 23
loss: 0.33939640007089733
epoch: 24
loss: 0.32589646691903273
IOU: [95.91, 70.28, 83.8, 23.92, 24.56, 41.65, 32.47, 40.26, 87.41, 45.55, 91.16, 51.44, 6.94, 85.41, 24.46, 33.37, 24.21, 6.86, 43.4]
mIOU: 48.06, mIOU_reduced: 49.38, accuracy: 91.33
epoch: 25
loss: 0.32920996740339903
epoch: 26
loss: 0.329510965798743
epoch: 27
loss: 0.3211232031773364
epoch: 28
loss: 0.3013181559882074
epoch: 29
loss: 0.3006508343544289
epoch: 30
loss: 0.2961805265226133
epoch: 31
loss: 0.3115101519299325
epoch: 32
loss: 0.3049117733606431
epoch: 33
loss: 0.3060664040942719
epoch: 34
loss: 0.3001410238585382
epoch: 35
loss: 0.2941335036828511
epoch: 36
loss: 0.2847226160475507
epoch: 37
loss: 0.2827323592817687
epoch: 38
loss: 0.2878978425923062
epoch: 39
loss: 0.27046431416289185
epoch: 40
loss: 0.2695066036802097
epoch: 41
loss: 0.2775289711324031
epoch: 42
loss: 0.28264704780437233
epoch: 43
loss: 0.2828923029639329
epoch: 44
loss: 0.27193240624553755
epoch: 45
loss: 0.2809837707130093
epoch: 46
loss: 0.28087332599728576
epoch: 47
loss: 0.27266765640912993
epoch: 48
loss: 0.28419570066536853
epoch: 49
loss: 0.26054630711714855
IOU: [96.42, 72.37, 86.04, 33.07, 35.48, 44.4, 32.57, 42.15, 88.21, 45.35, 91.64, 61.76, 26.42, 87.29, 25.28, 42.74, 23.17, 9.92, 57.74]
mIOU: 52.74, mIOU_reduced: 54.38, accuracy: 92.28
epoch: 50
loss: 0.27110980392867984
epoch: 51
loss: 0.2553719199812316
epoch: 52
loss: 0.2581239245490565
epoch: 53
loss: 0.2585720351201826
epoch: 54
loss: 0.24624723123732925
epoch: 55
loss: 0.24382456731442814
epoch: 56
loss: 0.2602529682801419
epoch: 57
loss: 0.26996168146798555
epoch: 58
loss: 0.24764107481006664
epoch: 59
loss: 0.27318509401015517
epoch: 60
loss: 0.2616606819420812
epoch: 61
loss: 0.255025967754765
epoch: 62
loss: 0.2624607823608378
epoch: 63
loss: 0.2550425923095559
epoch: 64
loss: 0.24103887686430606
epoch: 65
loss: 0.22466041814445487
epoch: 66
loss: 0.24955436633523262
epoch: 67
loss: 0.23074299884292315
epoch: 68
loss: 0.2542974073289218
epoch: 69
loss: 0.24979450348814863
epoch: 70
loss: 0.26755535650767404
epoch: 71
loss: 0.24200359346330005
epoch: 72
loss: 0.2279159058578252
epoch: 73
loss: 0.24759460897297872
epoch: 74
loss: 0.23464229427820268
IOU: [96.1, 71.04, 87.99, 42.3, 39.21, 48.34, 36.65, 59.53, 89.44, 52.4, 92.39, 65.32, 41.4, 87.64, 18.44, 56.99, 32.14, 21.91, 57.32]
mIOU: 57.71, mIOU_reduced: 59.13, accuracy: 92.88
epoch: 75
loss: 0.23167317509249535
epoch: 76
loss: 0.23098425559117144
epoch: 77
loss: 0.22975964976770857
epoch: 78
loss: 0.23120459400097315
epoch: 79
loss: 0.22601655900799683
epoch: 80
loss: 0.26440807755263346
epoch: 81
loss: 0.2586149463676057
epoch: 82
loss: 0.24624575397396345
epoch: 83
loss: 0.23748865424381754
epoch: 84
loss: 0.2569042936047775
epoch: 85
loss: 0.2368791852236758
epoch: 86
loss: 0.2324487558111669
epoch: 87
loss: 0.23331692495516368
epoch: 88
loss: 0.21443585774326582
epoch: 89
loss: 0.21599416812314498
epoch: 90
loss: 0.21310003312691203
epoch: 91
loss: 0.22533566818002743
epoch: 92
loss: 0.23182819691308426
epoch: 93
loss: 0.22025737780927004
epoch: 94
loss: 0.2263991655606144
epoch: 95
loss: 0.22961723153803226
epoch: 96
loss: 0.24075112748901156
epoch: 97
loss: 0.22460339672240928
epoch: 98
loss: 0.20947660716637126
epoch: 99
loss: 0.20971349419930554
IOU: [96.56, 74.8, 86.41, 42.73, 42.06, 50.07, 46.01, 62.69, 88.84, 46.74, 92.12, 61.48, 36.87, 87.39, 19.14, 51.18, 26.95, 25.85, 62.86]
mIOU: 57.93, mIOU_reduced: 59.66, accuracy: 92.83
epoch: 100
loss: 0.22145103763618237
epoch: 101
loss: 0.20813608745921333
epoch: 102
loss: 0.22082062039494194
epoch: 103
loss: 0.22119336717854934
epoch: 104
loss: 0.2066144733777586
epoch: 105
loss: 0.22804269815149975
epoch: 106
loss: 0.2118353403080506
epoch: 107
loss: 0.21403217884006526
epoch: 108
loss: 0.21429695072521096
epoch: 109
loss: 0.2228724970168502
epoch: 110
loss: 0.21849726588337248
epoch: 111
loss: 0.22997853888896597
epoch: 112
loss: 0.2261435274245604
epoch: 113
loss: 0.21058092525384497
epoch: 114
loss: 0.20567153932431317
epoch: 115
loss: 0.20352832023104567
epoch: 116
loss: 0.21310159547952306
epoch: 117
loss: 0.2080754030827242
epoch: 118
loss: 0.2256066943556472
epoch: 119
loss: 0.21703515450829122
epoch: 120
loss: 0.22003145086154782
epoch: 121
loss: 0.20715978779802424
epoch: 122
loss: 0.21435572194924574
epoch: 123
loss: 0.2106370179841139
epoch: 124
loss: 0.19632847739679793
IOU: [96.98, 77.22, 87.85, 37.96, 49.05, 52.16, 52.68, 64.54, 89.71, 54.4, 90.11, 72.46, 49.41, 91.44, 47.09, 62.31, 31.2, 38.45, 64.13]
mIOU: 63.64, mIOU_reduced: 65.44, accuracy: 93.67
epoch: 125
loss: 0.20798518852082223
epoch: 126
loss: 0.20018719355613396
epoch: 127
loss: 0.2108901472827495
epoch: 128
loss: 0.19802121601175426
epoch: 129
loss: 0.18825509734552182
epoch: 130
loss: 0.20726924164677565
epoch: 131
loss: 0.20132922961544797
epoch: 132
loss: 0.20265159149455897
epoch: 133
loss: 0.2161681435178875
epoch: 134
loss: 0.2089811228516931
epoch: 135
loss: 0.222401338285513
epoch: 136
loss: 0.22066245089483388
epoch: 137
loss: 0.20132315978207035
epoch: 138
loss: 0.19202599889345245
epoch: 139
loss: 0.19235773061243994
epoch: 140
loss: 0.21629992519025854
epoch: 141
loss: 0.20776433214505086
epoch: 142
loss: 0.19049233396981927
epoch: 143
loss: 0.20926260809612401
epoch: 144
loss: 0.2096225128300749
epoch: 145
loss: 0.19138836473065887
epoch: 146
loss: 0.19543402475327495
epoch: 147
loss: 0.18890254392296157
epoch: 148
loss: 0.19657318882463434
epoch: 149
loss: 0.212594947202829
IOU: [97.21, 78.06, 88.95, 49.4, 43.31, 49.69, 52.16, 64.76, 90.46, 59.83, 93.61, 72.42, 45.53, 91.62, 58.61, 63.44, 44.33, 36.25, 66.52]
mIOU: 65.59, mIOU_reduced: 66.77, accuracy: 94.27
epoch: 150
loss: 0.19046017836849644
epoch: 151
loss: 0.1891338300472
epoch: 152
loss: 0.21128810082645108
epoch: 153
loss: 0.20369739800370285
epoch: 154
loss: 0.1986056831125622
epoch: 155
loss: 0.21002171917585027
epoch: 156
loss: 0.1930853711024449
epoch: 157
loss: 0.2230763633778153
epoch: 158
loss: 0.19986865265832116
epoch: 159
loss: 0.18714742280161284
epoch: 160
loss: 0.1913419551846152
epoch: 161
loss: 0.21150697829990053
epoch: 162
loss: 0.19898812129410773
epoch: 163
loss: 0.1939533888651033
epoch: 164
loss: 0.19378744023588468
epoch: 165
loss: 0.2011473511026876
epoch: 166
loss: 0.18895470887181573
epoch: 167
loss: 0.1886020417644007
epoch: 168
loss: 0.2025835217852798
epoch: 169
loss: 0.22102708253015405
epoch: 170
loss: 0.18859804174649425
epoch: 171
loss: 0.1965042692069416
epoch: 172
loss: 0.18883851164515128
epoch: 173
loss: 0.19395554834861317
epoch: 174
loss: 0.1839436757154863
IOU: [97.41, 79.92, 88.2, 38.41, 48.82, 52.41, 49.49, 58.22, 86.92, 42.58, 92.0, 72.82, 51.03, 91.91, 56.71, 76.28, 55.42, 38.93, 65.09]
mIOU: 65.4, mIOU_reduced: 65.95, accuracy: 93.54
epoch: 175
loss: 0.1887914924970213
epoch: 176
loss: 0.1932592180499812
epoch: 177
loss: 0.18334304477085642
epoch: 178
loss: 0.17631964463830957
epoch: 179
loss: 0.1963492334290656
epoch: 180
loss: 0.18762270280855364
epoch: 181
loss: 0.17988744384114633
epoch: 182
loss: 0.18394411214680043
epoch: 183
loss: 0.17859936318789532
epoch: 184
loss: 0.1894512391395646
epoch: 185
loss: 0.18423367422224698
epoch: 186
loss: 0.18463799957878826
epoch: 187
loss: 0.1856942744749897
epoch: 188
loss: 0.18451408312889445
epoch: 189
loss: 0.1842184768251653
epoch: 190
loss: 0.1861622146157563
epoch: 191
loss: 0.18287756181550477
epoch: 192
loss: 0.18819407887776907
epoch: 193
loss: 0.19868948493363722
epoch: 194
loss: 0.18178461419764877
epoch: 195
loss: 0.18556591139408457
epoch: 196
loss: 0.17548046397632666
epoch: 197
loss: 0.16878301330975123
epoch: 198
loss: 0.1721177351763949
epoch: 199
loss: 0.17535884439382912
IOU: [97.54, 80.43, 90.07, 45.62, 52.75, 56.34, 57.3, 67.62, 90.17, 56.57, 93.86, 73.49, 48.0, 92.31, 48.3, 72.14, 51.18, 37.95, 66.73]
mIOU: 67.28, mIOU_reduced: 68.18, accuracy: 94.55
epoch: 200
loss: 0.21480531785687346
epoch: 201
loss: 0.20929401958326124
epoch: 202
loss: 0.17716682457297317
epoch: 203
loss: 0.1868293718748658
epoch: 204
loss: 0.18296524974695755
epoch: 205
loss: 0.19402232808324527
epoch: 206
loss: 0.18869285638923594
epoch: 207
loss: 0.1841536432183335
epoch: 208
loss: 0.17782051805055366
epoch: 209
loss: 0.17620716314270812
epoch: 210
loss: 0.1728891400956722
epoch: 211
loss: 0.1781496842795948
epoch: 212
loss: 0.17757270214049964
epoch: 213
loss: 0.19261031579778523
epoch: 214
loss: 0.18444677424238057
epoch: 215
loss: 0.17793184948578036
epoch: 216
loss: 0.16929927369895972
epoch: 217
loss: 0.18920337103528154
epoch: 218
loss: 0.18709054243853793
epoch: 219
loss: 0.17800908176243466
epoch: 220
loss: 0.18827565524455994
epoch: 221
loss: 0.19073717669656656
epoch: 222
loss: 0.18208238894165044
epoch: 223
loss: 0.17526562517945657
epoch: 224
loss: 0.16356707326164144
IOU: [97.48, 79.74, 90.05, 48.55, 45.86, 55.94, 58.95, 70.05, 91.05, 60.37, 93.47, 76.07, 54.85, 92.54, 54.74, 75.5, 59.11, 46.5, 68.58]
mIOU: 69.44, mIOU_reduced: 70.02, accuracy: 94.75
epoch: 225
loss: 0.16878523281963687
epoch: 226
loss: 0.18813389354960294
epoch: 227
loss: 0.19006907222968228
epoch: 228
loss: 0.1754136641592671
epoch: 229
loss: 0.16386397640820782
epoch: 230
loss: 0.16996375656111865
epoch: 231
loss: 0.1692214625061683
epoch: 232
loss: 0.17397023831817982
epoch: 233
loss: 0.17243755347725517
epoch: 234
loss: 0.17585324090365773
epoch: 235
loss: 0.18514419702506774
epoch: 236
loss: 0.16493884532278116
epoch: 237
loss: 0.15787558121019296
epoch: 238
loss: 0.1683442302028124
epoch: 239
loss: 0.19332081181903413
epoch: 240
loss: 0.17542620015272875
epoch: 241
loss: 0.17057386141099698
epoch: 242
loss: 0.1674756427418511
epoch: 243
loss: 0.16305752705049642
epoch: 244
loss: 0.18765272786514456
epoch: 245
loss: 0.17211392957646893
epoch: 246
loss: 0.1711588296687828
epoch: 247
loss: 0.16993510403803416
epoch: 248
loss: 0.18320984881361219
epoch: 249
loss: 0.17604103248636677
IOU: [97.72, 81.85, 90.32, 53.38, 51.85, 56.34, 58.59, 70.92, 91.1, 60.83, 93.73, 74.03, 51.94, 92.58, 53.42, 68.0, 49.1, 47.74, 68.94]
mIOU: 69.07, mIOU_reduced: 70.18, accuracy: 94.89
epoch: 250
loss: 0.1750608830037464
epoch: 251
loss: 0.1690621319204328
epoch: 252
loss: 0.16958756104232167
epoch: 253
loss: 0.17518208804477578
epoch: 254
loss: 0.18307484620102654
epoch: 255
loss: 0.16932990520469585
epoch: 256
loss: 0.1668179611150788
epoch: 257
loss: 0.17191967832029992
epoch: 258
loss: 0.16418273269005543
epoch: 259
loss: 0.15064390475618228
epoch: 260
loss: 0.15926531923186746
epoch: 261
loss: 0.1646586633475643
epoch: 262
loss: 0.17749313833417918
epoch: 263
loss: 0.16438123505472174
epoch: 264
loss: 0.16937095143724323
epoch: 265
loss: 0.16512948995571575
epoch: 266
loss: 0.16195733047961547
epoch: 267
loss: 0.1693702012983294
epoch: 268
loss: 0.1583501399969155
epoch: 269
loss: 0.1497456657316164
epoch: 270
loss: 0.15467604864238085
epoch: 271
loss: 0.15205517646196395
epoch: 272
loss: 0.15515095921298563
epoch: 273
loss: 0.15615704995040303
epoch: 274
loss: 0.17360157182194152
IOU: [97.27, 79.61, 90.14, 46.51, 55.23, 55.35, 54.26, 69.76, 90.22, 57.14, 93.72, 73.31, 38.27, 91.2, 39.2, 67.39, 45.84, 41.55, 63.86]
mIOU: 65.78, mIOU_reduced: 66.89, accuracy: 94.42
epoch: 275
loss: 0.17623632919354582
epoch: 276
loss: 0.1543884168496993
epoch: 277
loss: 0.1644023016215656
epoch: 278
loss: 0.17456699267150258
epoch: 279
loss: 0.16085206024408982
epoch: 280
loss: 0.16201464980439034
epoch: 281
loss: 0.15583293083703742
epoch: 282
loss: 0.16418421368875272
epoch: 283
loss: 0.17810336528521664
epoch: 284
loss: 0.1729178018365909
epoch: 285
loss: 0.16861558737700197
epoch: 286
loss: 0.17130666738250505
epoch: 287
loss: 0.17241108993876655
epoch: 288
loss: 0.16093876297181509
epoch: 289
loss: 0.16606583986481566
epoch: 290
loss: 0.1608605926851378
epoch: 291
loss: 0.1692222967101236
epoch: 292
loss: 0.1562768543626099
epoch: 293
loss: 0.15234572884207465
epoch: 294
loss: 0.1606289620870207
epoch: 295
loss: 0.14854785918466487
epoch: 296
loss: 0.1553127347941026
epoch: 297
loss: 0.15318335849801806
epoch: 298
loss: 0.151078586951099
epoch: 299
loss: 0.15295698413389391
IOU: [97.62, 81.52, 90.27, 52.97, 46.55, 57.06, 54.3, 70.7, 90.5, 58.31, 93.85, 74.96, 52.32, 92.39, 48.27, 60.64, 61.0, 48.39, 68.88]
mIOU: 68.45, mIOU_reduced: 68.86, accuracy: 94.77
epoch: 300
loss: 0.14845874718819668
epoch: 301
loss: 0.15451723889440216
epoch: 302
loss: 0.1477705103889951
epoch: 303
loss: 0.15531321315752528
epoch: 304
loss: 0.15425551708817803
epoch: 305
loss: 0.14734418899061866
epoch: 306
loss: 0.15687269880122573
epoch: 307
loss: 0.15173308179786585
epoch: 308
loss: 0.1537708269778609
epoch: 309
loss: 0.148658545632568
epoch: 310
loss: 0.1496990420667309
epoch: 311
loss: 0.14435707685359406
epoch: 312
loss: 0.1567014967897189
epoch: 313
loss: 0.15368752757895668
epoch: 314
loss: 0.15517777945555125
epoch: 315
loss: 0.15561975488524551
epoch: 316
loss: 0.1502400145858446
epoch: 317
loss: 0.15424554921546071
epoch: 318
loss: 0.14598927317523572
epoch: 319
loss: 0.14928752009197066
epoch: 320
loss: 0.14444453899831464
epoch: 321
loss: 0.144839480860696
epoch: 322
loss: 0.1439194253311967
epoch: 323
loss: 0.15736791991560928
epoch: 324
loss: 0.14262013478741814
IOU: [97.71, 81.88, 91.01, 52.8, 54.32, 58.84, 62.03, 72.29, 91.51, 62.03, 94.07, 75.64, 52.68, 93.15, 60.92, 78.34, 56.6, 48.01, 70.73]
mIOU: 71.29, mIOU_reduced: 72.11, accuracy: 95.2
epoch: 325
loss: 0.14369657892743853
epoch: 326
loss: 0.15425338383231843
epoch: 327
loss: 0.14462065080185785
epoch: 328
loss: 0.14336089026735158
epoch: 329
loss: 0.13733646030615604
epoch: 330
loss: 0.14788550660616626
epoch: 331
loss: 0.14098001142958747
epoch: 332
loss: 0.14668719179305748
epoch: 333
loss: 0.1853352664013436
epoch: 334
loss: 0.17749782097387828
epoch: 335
loss: 0.15298230435970336
epoch: 336
loss: 0.1498567700747531
epoch: 337
loss: 0.1569680095803384
epoch: 338
loss: 0.16279008062782313
epoch: 339
loss: 0.15000248300740018
epoch: 340
loss: 0.14634389681314844
epoch: 341
loss: 0.15110713016553068
epoch: 342
loss: 0.1504424535882762
epoch: 343
loss: 0.16005053051880427
epoch: 344
loss: 0.14803219289390868
epoch: 345
loss: 0.14948370968395808
epoch: 346
loss: 0.1456466966843348
epoch: 347
loss: 0.1363214708643782
epoch: 348
loss: 0.13762369890498988
epoch: 349
loss: 0.14481426116751853
IOU: [97.64, 81.56, 90.78, 42.81, 54.38, 57.69, 61.37, 72.24, 91.43, 62.83, 93.56, 77.22, 53.63, 93.12, 60.71, 76.5, 50.85, 49.02, 70.76]
mIOU: 70.43, mIOU_reduced: 71.51, accuracy: 95.09
epoch: 350
loss: 0.14007669335828637
epoch: 351
loss: 0.13701565595810625
epoch: 352
loss: 0.13562152106967576
epoch: 353
loss: 0.14313632287988765
epoch: 354
loss: 0.1419282410986661
epoch: 355
loss: 0.1384467954102231
epoch: 356
loss: 0.1352561231692525
epoch: 357
loss: 0.13677849978047882
epoch: 358
loss: 0.13660583412149202
epoch: 359
loss: 0.14127467624903367
epoch: 360
loss: 0.13130294850894383
epoch: 361
loss: 0.1357237097388008
epoch: 362
loss: 0.1441373701566313
epoch: 363
loss: 0.13912865764529236
epoch: 364
loss: 0.1421146637827881
epoch: 365
loss: 0.1353724515944157
epoch: 366
loss: 0.1399391974520812
epoch: 367
loss: 0.13524683386167746
epoch: 368
loss: 0.1344585015446028
epoch: 369
loss: 0.12969712206134898
epoch: 370
loss: 0.1403543659538593
epoch: 371
loss: 0.13780391272508874
epoch: 372
loss: 0.16547885488949696
epoch: 373
loss: 0.1456463705858773
epoch: 374
loss: 0.13602063158210717
IOU: [89.09, 44.29, 80.9, 15.88, 40.7, 37.99, 38.53, 62.21, 81.77, 37.52, 91.6, 63.14, 40.12, 82.94, 41.35, 54.95, 31.62, 17.57, 49.57]
mIOU: 52.72, mIOU_reduced: 53.9, accuracy: 87.29
epoch: 375
loss: 0.1431785295353424
epoch: 376
loss: 0.13443795748235723
epoch: 377
loss: 0.15694213441681026
epoch: 378
loss: 0.14016707854049226
epoch: 379
loss: 0.13200737803049808
epoch: 380
loss: 0.1369515824109075
epoch: 381
loss: 0.13384201994160758
epoch: 382
loss: 0.13628778243161277
epoch: 383
loss: 0.12884520562591578
epoch: 384
loss: 0.13164022546813817
epoch: 385
loss: 0.12936645714099196
epoch: 386
loss: 0.13059346996388346
epoch: 387
loss: 0.1266900784564468
epoch: 388
loss: 0.1298538043372072
epoch: 389
loss: 0.13709197970574113
epoch: 390
loss: 0.13051346617165924
epoch: 391
loss: 0.12635725551859708
epoch: 392
loss: 0.12098894838615248
epoch: 393
loss: 0.13648029669838133
epoch: 394
loss: 0.14588046598064933
epoch: 395
loss: 0.1320904732714445
epoch: 396
loss: 0.14058898153370925
epoch: 397
loss: 0.13958713641224524
epoch: 398
loss: 0.1406225880602942
epoch: 399
loss: 0.13995420444766787
IOU: [97.58, 81.04, 90.47, 52.62, 49.06, 57.71, 61.52, 71.5, 91.33, 61.84, 93.58, 74.29, 49.5, 92.81, 62.68, 72.98, 33.74, 48.1, 70.06]
mIOU: 69.07, mIOU_reduced: 71.04, accuracy: 94.93
epoch: 400
loss: 0.12962307584173274
epoch: 401
loss: 0.1357843879700671
epoch: 402
loss: 0.12776701722665618
epoch: 403
loss: 0.13138322975998618
epoch: 404
loss: 0.13667343725573342
epoch: 405
loss: 0.12591370291546028
epoch: 406
loss: 0.12473037899183134
epoch: 407
loss: 0.12538913741828298
epoch: 408
loss: 0.12684277716190667
epoch: 409
loss: 0.12456287505893374
epoch: 410
loss: 0.12395890237828792
epoch: 411
loss: 0.12030145809094539
epoch: 412
loss: 0.12382529838628203
epoch: 413
loss: 0.1308069707288575
epoch: 414
loss: 0.12519924764363272
epoch: 415
loss: 0.11920027111498814
epoch: 416
loss: 0.1182758197831015
epoch: 417
loss: 0.12076472689841956
epoch: 418
loss: 0.13012399365799124
epoch: 419
loss: 0.1335999607196394
epoch: 420
loss: 0.12297576531326032
epoch: 421
loss: 0.12266105315032995
epoch: 422
loss: 0.1246760775036407
epoch: 423
loss: 0.12003891959264272
epoch: 424
loss: 0.11616549593700232
IOU: [97.96, 83.8, 91.6, 53.1, 55.31, 60.1, 63.69, 74.15, 91.96, 63.16, 94.65, 77.2, 49.46, 93.97, 71.8, 79.13, 66.53, 47.77, 71.34]
mIOU: 72.98, mIOU_reduced: 73.34, accuracy: 95.54
epoch: 425
loss: 0.11732203712199897
epoch: 426
loss: 0.12179254668179869
epoch: 427
loss: 0.1221800751964037
epoch: 428
loss: 0.1206855022642169
epoch: 429
loss: 0.11639414968676966
epoch: 430
loss: 0.12236604863662283
epoch: 431
loss: 0.11912108546077724
epoch: 432
loss: 0.11923475019292369
epoch: 433
loss: 0.12343363998071202
epoch: 434
loss: 0.1206745663381651
epoch: 435
loss: 0.11530695741147687
epoch: 436
loss: 0.11395127290101707
epoch: 437
loss: 0.12022525961749315
epoch: 438
loss: 0.11520699076254091
epoch: 439
loss: 0.11697790153184028
epoch: 440
loss: 0.11344417455704064
epoch: 441
loss: 0.11484990985888355
epoch: 442
loss: 0.1124718296680489
epoch: 443
loss: 0.11430494214164601
epoch: 444
loss: 0.10813166839735848
epoch: 445
loss: 0.11020659100053445
epoch: 446
loss: 0.1115241557199036
epoch: 447
loss: 0.11093139038935826
epoch: 448
loss: 0.11700779328127756
epoch: 449
loss: 0.11364790859489107
IOU: [97.92, 82.94, 91.58, 53.73, 57.61, 61.07, 65.16, 74.61, 91.77, 60.1, 94.57, 79.22, 58.94, 94.11, 69.25, 80.32, 69.99, 48.99, 72.78]
mIOU: 73.93, mIOU_reduced: 74.15, accuracy: 95.54
epoch: 450
loss: 0.10963177715109365
epoch: 451
loss: 0.11480013652631857
epoch: 452
loss: 0.11546827407900213
epoch: 453
loss: 0.111070242672757
epoch: 454
loss: 0.10883034111033231
epoch: 455
loss: 0.10841168348760297
epoch: 456
loss: 0.10952555723588743
epoch: 457
loss: 0.10767030362491659
epoch: 458
loss: 0.11014221344554842
epoch: 459
loss: 0.11141004579046344
epoch: 460
loss: 0.10715813748036433
epoch: 461
loss: 0.10818461764533564
epoch: 462
loss: 0.10899472618199423
epoch: 463
loss: 0.10872856029522708
epoch: 464
loss: 0.10575114672556721
epoch: 465
loss: 0.10765499746140765
epoch: 466
loss: 0.10972393225788106
epoch: 467
loss: 0.10571324842356929
epoch: 468
loss: 0.10481781986444144
epoch: 469
loss: 0.1076076867967603
epoch: 470
loss: 0.10526640956212246
epoch: 471
loss: 0.10553859786765594
epoch: 472
loss: 0.10323145326899712
epoch: 473
loss: 0.10353869802225632
epoch: 474
loss: 0.10280062843646322
IOU: [98.01, 84.15, 92.07, 58.36, 58.08, 61.46, 65.77, 75.23, 92.13, 64.35, 94.83, 79.51, 59.8, 94.32, 74.85, 80.57, 60.74, 52.01, 73.33]
mIOU: 74.71, mIOU_reduced: 75.49, accuracy: 95.78
epoch: 475
loss: 0.10426392924351834
epoch: 476
loss: 0.1026344944363977
epoch: 477
loss: 0.10316649737022315
epoch: 478
loss: 0.1027128032717422
epoch: 479
loss: 0.10235260736267522
epoch: 480
loss: 0.10107635606250995
IOU: [98.13, 84.43, 92.18, 58.58, 60.15, 61.73, 65.97, 75.24, 92.13, 63.08, 94.92, 79.31, 58.95, 94.24, 73.24, 79.61, 57.95, 51.78, 73.2]
mIOU: 74.46, mIOU_reduced: 75.38, accuracy: 95.81
epoch: 481
loss: 0.10405263039622345
IOU: [98.13, 84.59, 92.21, 57.2, 61.65, 62.18, 65.99, 75.52, 92.17, 64.99, 94.93, 79.78, 59.96, 94.32, 70.41, 79.87, 63.81, 54.56, 73.21]
mIOU: 75.03, mIOU_reduced: 75.65, accuracy: 95.85
epoch: 482
loss: 0.10223052603496374
IOU: [98.1, 84.49, 92.15, 58.47, 60.93, 62.1, 65.73, 75.44, 92.06, 64.87, 94.91, 79.67, 59.64, 94.36, 72.36, 80.63, 61.63, 53.78, 73.23]
mIOU: 74.98, mIOU_reduced: 75.72, accuracy: 95.83
epoch: 483
loss: 0.10129913405547887
IOU: [98.06, 84.19, 92.14, 57.9, 60.89, 61.9, 65.93, 75.46, 92.11, 64.41, 94.56, 79.7, 59.09, 94.33, 73.43, 81.26, 65.38, 53.68, 73.72]
mIOU: 75.17, mIOU_reduced: 75.71, accuracy: 95.82
epoch: 484
loss: 0.10260695899834209
IOU: [98.13, 84.67, 92.22, 57.4, 61.36, 62.12, 66.16, 75.27, 92.18, 64.24, 94.92, 79.72, 59.41, 94.36, 72.81, 79.94, 60.42, 53.77, 73.56]
mIOU: 74.88, mIOU_reduced: 75.68, accuracy: 95.85
epoch: 485
loss: 0.10240508586851092
IOU: [98.07, 84.31, 92.25, 57.86, 60.96, 62.05, 66.0, 75.45, 92.1, 64.33, 94.85, 79.77, 59.3, 94.39, 73.01, 79.34, 58.36, 52.96, 73.56]
mIOU: 74.68, mIOU_reduced: 75.59, accuracy: 95.82
epoch: 486
loss: 0.10030339565881179
IOU: [98.1, 84.51, 92.21, 57.93, 60.89, 61.92, 66.0, 74.81, 92.17, 64.48, 94.87, 79.45, 58.96, 94.34, 73.5, 79.6, 61.11, 53.25, 73.26]
mIOU: 74.81, mIOU_reduced: 75.57, accuracy: 95.84
epoch: 487
loss: 0.10064078660586452
IOU: [98.15, 84.66, 92.23, 57.9, 60.61, 62.16, 66.03, 75.37, 92.18, 63.76, 94.73, 79.57, 59.19, 94.34, 73.04, 80.6, 66.48, 54.42, 73.23]
mIOU: 75.19, mIOU_reduced: 75.67, accuracy: 95.86
epoch: 488
loss: 0.09893577985686433
IOU: [98.08, 84.44, 92.16, 58.65, 60.68, 62.1, 66.07, 75.11, 92.06, 63.33, 94.8, 79.81, 60.06, 94.27, 69.84, 79.88, 67.16, 53.26, 73.44]
mIOU: 75.01, mIOU_reduced: 75.45, accuracy: 95.81
epoch: 489
loss: 0.09843816556980346
IOU: [98.1, 84.57, 92.28, 59.36, 60.73, 62.03, 65.94, 75.48, 92.19, 64.05, 94.81, 79.47, 58.52, 94.33, 71.53, 79.88, 64.44, 52.56, 73.48]
mIOU: 74.94, mIOU_reduced: 75.52, accuracy: 95.85
epoch: 490
loss: 0.09870924255396478
epoch: 490
loss: 0.0987077144418926
IOU: [98.12, 84.71, 92.23, 58.58, 60.46, 61.97, 65.89, 75.6, 92.1, 63.92, 94.96, 79.53, 59.31, 94.38, 71.15, 80.32, 66.71, 52.48, 73.36]
mIOU: 75.04, mIOU_reduced: 75.5, accuracy: 95.85
epoch: 491
loss: 0.0983046855164988
IOU: [98.1, 84.59, 92.28, 59.57, 60.92, 62.11, 65.82, 75.44, 92.21, 64.26, 94.86, 79.79, 59.93, 94.36, 71.55, 81.22, 68.89, 54.51, 73.51]
mIOU: 75.47, mIOU_reduced: 75.84, accuracy: 95.88
epoch: 492
loss: 0.10157741821117479
IOU: [98.1, 84.63, 92.28, 59.72, 60.81, 62.28, 65.98, 75.81, 92.2, 64.76, 94.86, 79.69, 59.6, 94.4, 71.72, 81.73, 72.07, 54.26, 73.66]
mIOU: 75.72, mIOU_reduced: 75.92, accuracy: 95.89
epoch: 493
loss: 0.09944581028545964
IOU: [98.09, 84.59, 92.24, 59.67, 60.46, 62.16, 66.07, 75.7, 92.18, 64.44, 94.91, 79.59, 59.05, 94.33, 71.75, 80.74, 68.33, 53.66, 73.62]
mIOU: 75.35, mIOU_reduced: 75.74, accuracy: 95.85
epoch: 494
loss: 0.09978530428440102
IOU: [98.12, 84.77, 92.24, 59.04, 61.15, 62.26, 65.66, 75.73, 92.13, 64.35, 94.9, 79.6, 59.06, 94.4, 72.61, 80.87, 69.89, 53.12, 73.62]
mIOU: 75.45, mIOU_reduced: 75.76, accuracy: 95.87
epoch: 495
loss: 0.09913779192697006
IOU: [98.11, 84.69, 92.25, 59.29, 60.64, 62.26, 66.01, 75.65, 92.22, 65.08, 94.86, 79.66, 59.5, 94.36, 71.84, 80.52, 67.08, 53.29, 73.57]
mIOU: 75.31, mIOU_reduced: 75.77, accuracy: 95.88
epoch: 496
loss: 0.09806161690151917
IOU: [98.15, 84.87, 92.27, 59.58, 60.92, 62.21, 66.07, 75.57, 92.21, 64.97, 94.89, 79.63, 59.35, 94.39, 72.23, 80.61, 67.7, 53.68, 73.62]
mIOU: 75.42, mIOU_reduced: 75.85, accuracy: 95.9
epoch: 497
loss: 0.09885455725207483
IOU: [98.13, 84.72, 92.27, 59.36, 60.84, 62.29, 66.27, 75.68, 92.2, 64.53, 94.82, 79.76, 59.55, 94.37, 71.85, 80.16, 67.01, 54.01, 73.4]
mIOU: 75.33, mIOU_reduced: 75.79, accuracy: 95.89
epoch: 498
loss: 0.09742994985048661
IOU: [98.13, 84.75, 92.27, 59.36, 61.22, 62.17, 66.2, 75.6, 92.22, 64.79, 94.85, 79.72, 59.42, 94.42, 71.85, 80.17, 67.81, 53.88, 73.61]
mIOU: 75.39, mIOU_reduced: 75.81, accuracy: 95.89
epoch: 499
loss: 0.09861241942748548
IOU: [98.13, 84.78, 92.26, 59.45, 60.99, 62.25, 66.13, 75.66, 92.18, 64.56, 94.84, 79.68, 59.3, 94.4, 71.9, 80.45, 68.04, 53.45, 73.53]
mIOU: 75.37, mIOU_reduced: 75.77, accuracy: 95.88
Best mIOU: 75.71524790713661
Best global accuracy: 95.90064287185669
Training time 0:34:37
mIOUs: [75.71524790713661, 74.8280836406507]
global_accuracies: [95.90064287185669, 95.83184123039246]
