{'model_name': 'ddrnet23', 'model_type': 'competitor', 'num_classes': 19, 'ignore_value': 255, 'pretrained_backbone': False, 'epochs': 1000, 'max_epochs': 1000, '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, 'run': 5, 'RNG_seed': 0, 'loss_type': 'bootstrapped', 'aux_loss': False, 'exclude_classes': [14, 15, 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': [1024, 1024], 'val_input_size': 1024, 'val_label_size': 1024, 'aug_mode': 'randaug_reduced', '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': 'logs', 'save_name': 'ddrnet_1000_epochs', 'save_best_path': 'checkpoints/ddrnet_1000_epochs_run5', 'save_latest_path': 'checkpoints/ddrnet_1000_epochs_latest', 'resume_path': 'checkpoints/ddrnet_1000_epochs_latest', 'log_path': 'logs/ddrnet_1000_epochs_run5.txt'}
run: 5
epoch: 0
loss: 1.650577746954247
IOU: [79.58, 6.66, 55.6, 0.0, 0.0, 0.29, 0.0, 0.0, 53.26, 2.09, 74.22, 2.69, 0.0, 40.01, 0.03, 0.0, 0.0, 0.0, 0.04]
mIOU: 16.55, mIOU_reduced: 19.65, accuracy: 73.13
epoch: 1
loss: 1.4134523714327747
epoch: 2
loss: 1.3487289772843414
epoch: 3
loss: 1.3175317044206707
epoch: 4
loss: 1.2810626892709347
epoch: 5
loss: 1.2627434365832901
epoch: 6
loss: 1.2365324171084278
epoch: 7
loss: 1.2429315839816297
epoch: 8
loss: 1.210337298899648
epoch: 9
loss: 1.1986361974975812
epoch: 10
loss: 1.1984934143300325
epoch: 11
loss: 1.163884456748911
epoch: 12
loss: 1.1717588832436225
epoch: 13
loss: 1.1561864450614086
epoch: 14
loss: 1.1480164386512777
epoch: 15
loss: 1.140932390471353
epoch: 16
loss: 1.1182368036229013
epoch: 17
loss: 1.1199097079086817
epoch: 18
loss: 1.1212402247996986
epoch: 19
loss: 1.1039118792490175
epoch: 20
loss: 1.09793753958134
epoch: 21
loss: 1.091724441218569
epoch: 22
loss: 1.0993755988354952
epoch: 23
loss: 1.090122880479396
epoch: 24
loss: 1.0699729493686132
IOU: [95.16, 66.43, 82.69, 26.62, 29.83, 38.75, 37.42, 51.32, 86.2, 49.07, 89.24, 58.92, 16.61, 83.05, 14.69, 35.76, 4.39, 20.61, 56.64]
mIOU: 49.65, mIOU_reduced: 55.53, accuracy: 90.77
epoch: 25
loss: 1.0782443048819057
epoch: 26
loss: 1.07138010706863
epoch: 27
loss: 1.0712947228526812
epoch: 28
loss: 1.0861502799062395
epoch: 29
loss: 1.0647698663315683
epoch: 30
loss: 1.0604986922760216
epoch: 31
loss: 1.0642396251789001
epoch: 32
loss: 1.062033376121778
epoch: 33
loss: 1.0515413252169874
epoch: 34
loss: 1.057219076188748
epoch: 35
loss: 1.0449878268164765
epoch: 36
loss: 1.0487510669584865
epoch: 37
loss: 1.0440168184732812
epoch: 38
loss: 1.053450849178345
epoch: 39
loss: 1.035400901039977
epoch: 40
loss: 1.0300428089748497
epoch: 41
loss: 1.0289942749105696
epoch: 42
loss: 1.0225354571226795
epoch: 43
loss: 1.0365578752322337
epoch: 44
loss: 1.0490395648460182
epoch: 45
loss: 1.0310035373644044
epoch: 46
loss: 1.0460310199190022
epoch: 47
loss: 1.029333655885609
epoch: 48
loss: 1.037830227629515
epoch: 49
loss: 1.0157853589867645
IOU: [96.44, 74.29, 87.77, 27.19, 41.35, 47.3, 46.98, 55.64, 89.5, 53.05, 91.72, 67.84, 23.73, 89.59, 18.15, 49.04, 50.12, 16.36, 61.99]
mIOU: 57.26, mIOU_reduced: 60.67, accuracy: 93.09
epoch: 50
loss: 1.022764860137775
epoch: 51
loss: 1.039089916369343
epoch: 52
loss: 1.012886602120258
epoch: 53
loss: 1.0152940213519608
epoch: 54
loss: 1.0307875094066734
epoch: 55
loss: 1.0146229022918043
epoch: 56
loss: 1.0117155570546894
epoch: 57
loss: 1.0105219717938303
epoch: 58
loss: 1.0216467465673174
epoch: 59
loss: 1.013744151817178
epoch: 60
loss: 1.0066861998681431
epoch: 61
loss: 1.0033337390326424
epoch: 62
loss: 1.0127868141446794
epoch: 63
loss: 0.9992067492554452
epoch: 64
loss: 1.0130712351387723
epoch: 65
loss: 0.9962775695998713
epoch: 66
loss: 1.0039545169095145
epoch: 67
loss: 0.9890040464478361
epoch: 68
loss: 0.9980827279167998
epoch: 69
loss: 1.0186430265639992
epoch: 70
loss: 0.999844916586606
epoch: 71
loss: 0.9933994089496746
epoch: 72
loss: 0.9964186170030476
epoch: 73
loss: 0.9947100117842784
epoch: 74
loss: 1.002121419919469
IOU: [96.88, 76.6, 88.54, 41.1, 44.3, 51.17, 52.58, 65.15, 89.96, 51.59, 91.76, 70.3, 46.63, 90.77, 46.71, 67.66, 42.75, 30.05, 66.52]
mIOU: 63.74, mIOU_reduced: 65.87, accuracy: 93.84
epoch: 75
loss: 1.0096095093498332
epoch: 76
loss: 1.0167695389924987
epoch: 77
loss: 0.994578210170057
epoch: 78
loss: 0.9846442889653126
epoch: 79
loss: 0.9874955839866576
epoch: 80
loss: 1.0070784675143156
epoch: 81
loss: 0.9818152950780411
epoch: 82
loss: 0.9874625543378434
epoch: 83
loss: 0.9927164992553525
epoch: 84
loss: 0.9790897673031069
epoch: 85
loss: 0.9960198307615727
epoch: 86
loss: 1.003371065356982
epoch: 87
loss: 0.9813851420127478
epoch: 88
loss: 0.9798279902684399
epoch: 89
loss: 0.9709895118227545
epoch: 90
loss: 0.9679617769313309
epoch: 91
loss: 0.9775284149576069
epoch: 92
loss: 0.982401202952444
epoch: 93
loss: 0.9678299420606093
epoch: 94
loss: 0.9765704100665378
epoch: 95
loss: 1.0057453203072766
epoch: 96
loss: 0.9767116380509019
epoch: 97
loss: 0.9875686056209061
epoch: 98
loss: 0.9795944541291085
epoch: 99
loss: 0.9746528211629616
IOU: [97.08, 78.37, 88.85, 38.4, 46.34, 53.79, 57.3, 68.85, 90.14, 55.43, 92.95, 71.99, 40.8, 89.01, 8.42, 63.08, 41.05, 40.42, 68.17]
mIOU: 62.65, mIOU_reduced: 67.37, accuracy: 93.95
epoch: 100
loss: 0.9584562839523479
epoch: 101
loss: 0.9756429717547167
epoch: 102
loss: 0.9697455696339877
epoch: 103
loss: 0.9780505897221218
epoch: 104
loss: 0.9572965366178445
epoch: 105
loss: 0.9927647406200193
epoch: 106
loss: 0.9744601010312288
epoch: 107
loss: 0.9800276015646695
epoch: 108
loss: 0.9798580020907112
epoch: 109
loss: 0.954621906389766
epoch: 110
loss: 0.9652512913765612
epoch: 111
loss: 0.9628337615262466
epoch: 112
loss: 0.9746698126638674
epoch: 113
loss: 0.9699268304112787
epoch: 114
loss: 0.9549800085250258
epoch: 115
loss: 0.9686127476936403
epoch: 116
loss: 0.9901443845178239
epoch: 117
loss: 0.9793498252601315
epoch: 118
loss: 0.9630214694053979
epoch: 119
loss: 0.9794351015129501
epoch: 120
loss: 0.9711814672156486
epoch: 121
loss: 0.9591427337769871
epoch: 122
loss: 0.9714182525310876
epoch: 123
loss: 0.9668893664673653
epoch: 124
loss: 0.9647954197906741
IOU: [97.31, 79.04, 89.22, 39.78, 43.45, 49.74, 55.72, 68.29, 90.57, 51.62, 92.99, 74.73, 48.29, 91.78, 58.25, 67.45, 53.17, 31.51, 69.25]
mIOU: 65.9, mIOU_reduced: 67.08, accuracy: 94.31
epoch: 125
loss: 0.9636861418456723
epoch: 126
loss: 0.9744312938332879
epoch: 127
loss: 0.9579199624832749
epoch: 128
loss: 0.9663531375381181
epoch: 129
loss: 0.9625212945385442
epoch: 130
loss: 0.9893263809764482
epoch: 131
loss: 0.9543492430946576
epoch: 132
loss: 0.9584493669216845
epoch: 133
loss: 0.9577950211869417
epoch: 134
loss: 0.9590050319455704
epoch: 135
loss: 0.9583297868301927
epoch: 136
loss: 0.9637274199097625
epoch: 137
loss: 0.9463588757656334
epoch: 138
loss: 0.9543721732103599
epoch: 139
loss: 0.9587938446561602
epoch: 140
loss: 0.9481034834751222
epoch: 141
loss: 0.959072309202261
epoch: 142
loss: 0.9490355441191126
epoch: 143
loss: 0.9679440531447892
epoch: 144
loss: 0.9570282236585077
epoch: 145
loss: 0.9554715836144522
epoch: 146
loss: 0.9380809161862274
epoch: 147
loss: 0.9473074412731469
epoch: 148
loss: 0.9374138301594881
epoch: 149
loss: 0.9459633398248821
IOU: [97.26, 78.32, 90.24, 45.54, 50.28, 56.93, 62.96, 72.44, 90.91, 57.19, 93.59, 75.13, 52.84, 91.94, 47.79, 71.47, 50.54, 43.8, 70.47]
mIOU: 68.4, mIOU_reduced: 70.62, accuracy: 94.67
epoch: 150
loss: 0.9603874362061288
epoch: 151
loss: 0.9407247263144932
epoch: 152
loss: 0.9450941023158256
epoch: 153
loss: 0.96878693013821
epoch: 154
loss: 0.9590285092672569
epoch: 155
loss: 0.9550026846381853
epoch: 156
loss: 0.9464406705288232
epoch: 157
loss: 0.9576372335541923
epoch: 158
loss: 0.9617252253457864
epoch: 159
loss: 0.9490684328696156
epoch: 160
loss: 0.9466839024641444
epoch: 161
loss: 0.9420701535242908
epoch: 162
loss: 0.9387361932636271
epoch: 163
loss: 0.9458618912735397
epoch: 164
loss: 0.9346346296068793
epoch: 165
loss: 0.9421296709310012
epoch: 166
loss: 0.9359499233752248
epoch: 167
loss: 0.9422508407474528
epoch: 168
loss: 0.9561866494523226
epoch: 169
loss: 0.9773217454110837
epoch: 170
loss: 0.9545726747204352
epoch: 171
loss: 0.9469123820088944
epoch: 172
loss: 0.9369748809909564
epoch: 173
loss: 0.9472866209369464
epoch: 174
loss: 0.9571406813965975
IOU: [96.1, 73.38, 88.55, 24.26, 44.05, 51.2, 56.64, 68.5, 89.25, 56.98, 93.21, 72.39, 50.43, 92.05, 54.13, 72.15, 55.27, 8.38, 60.33]
mIOU: 63.54, mIOU_reduced: 64.11, accuracy: 93.54
epoch: 175
loss: 0.9774314287216516
epoch: 176
loss: 0.9498230069474068
epoch: 177
loss: 0.9346737177224173
epoch: 178
loss: 0.9394153904400746
epoch: 179
loss: 0.9414945379743036
epoch: 180
loss: 0.9421852250304826
epoch: 181
loss: 0.9394312123404037
epoch: 182
loss: 0.9433102492052269
epoch: 183
loss: 0.9519509605641635
epoch: 184
loss: 0.9265962299310936
epoch: 185
loss: 0.9636830517223903
epoch: 186
loss: 0.9270258547482143
epoch: 187
loss: 0.9527572859329676
epoch: 188
loss: 0.9444769241739155
epoch: 189
loss: 0.9426457803204374
epoch: 190
loss: 0.9265437717386333
epoch: 191
loss: 0.9407989382743835
epoch: 192
loss: 0.9379263695359551
epoch: 193
loss: 0.9462859048997617
epoch: 194
loss: 0.9255871390396694
epoch: 195
loss: 0.9281445928018369
epoch: 196
loss: 0.9275166236486718
epoch: 197
loss: 0.9438429776870337
epoch: 198
loss: 0.9491634433160252
epoch: 199
loss: 0.9660012617586758
IOU: [96.51, 76.25, 89.48, 36.89, 48.8, 57.03, 61.49, 70.8, 90.35, 57.32, 93.65, 75.13, 52.31, 92.03, 51.32, 66.76, 63.14, 26.84, 67.59]
mIOU: 67.04, mIOU_reduced: 68.28, accuracy: 94.13
epoch: 200
loss: 0.9470066686846176
epoch: 201
loss: 0.9425388378595727
epoch: 202
loss: 0.92700969642706
epoch: 203
loss: 0.9386495507631019
epoch: 204
loss: 0.933225087560412
epoch: 205
loss: 0.9207030216638611
epoch: 206
loss: 0.9302829444569076
epoch: 207
loss: 0.9269482527139052
epoch: 208
loss: 0.9360593930087642
epoch: 209
loss: 0.9332138822085131
epoch: 210
loss: 0.9401953652541271
epoch: 211
loss: 0.9252782560423056
epoch: 212
loss: 0.9219557570639968
epoch: 213
loss: 0.9178404147734218
epoch: 214
loss: 0.9163228334442303
epoch: 215
loss: 0.9280027912633438
epoch: 216
loss: 0.9447842656441454
epoch: 217
loss: 0.957898665952554
epoch: 218
loss: 0.948144634296952
epoch: 219
loss: 0.9192293589969851
epoch: 220
loss: 0.9145852407676511
epoch: 221
loss: 0.9308658578003834
epoch: 222
loss: 0.9255684434242968
epoch: 223
loss: 0.9216089589255196
epoch: 224
loss: 0.9607777807590454
IOU: [97.2, 79.03, 89.47, 24.93, 46.62, 58.18, 59.48, 71.57, 91.03, 53.72, 93.63, 71.03, 17.39, 91.28, 38.63, 66.7, 62.43, 45.36, 70.56]
mIOU: 64.64, mIOU_reduced: 66.28, accuracy: 94.36
epoch: 225
loss: 0.9429024430619417
epoch: 226
loss: 0.9641494305949969
epoch: 227
loss: 0.9273476182932481
epoch: 228
loss: 0.9286539303967253
epoch: 229
loss: 0.925592311309033
epoch: 230
loss: 0.9469188445340591
epoch: 231
loss: 0.9282334667010449
epoch: 232
loss: 0.9331039781519024
epoch: 233
loss: 0.929513126210061
epoch: 234
loss: 0.9192179868806083
epoch: 235
loss: 0.9280727348237667
epoch: 236
loss: 0.9236760666428229
epoch: 237
loss: 0.9332240056798786
epoch: 238
loss: 0.9148868299880117
epoch: 239
loss: 0.9152235782371377
epoch: 240
loss: 0.9451277586970368
epoch: 241
loss: 0.9330211500273239
epoch: 242
loss: 0.9202339033874861
epoch: 243
loss: 0.9246729792289015
epoch: 244
loss: 0.9268919682567011
epoch: 245
loss: 0.9287693310940683
epoch: 246
loss: 0.9505003187855621
epoch: 247
loss: 0.9332618899743833
epoch: 248
loss: 0.9310703642284773
epoch: 249
loss: 0.9238099704855536
IOU: [97.53, 80.81, 90.84, 47.17, 50.27, 57.06, 62.71, 73.92, 91.79, 59.62, 93.96, 78.02, 54.84, 93.41, 65.0, 74.65, 57.62, 48.77, 71.81]
mIOU: 71.04, mIOU_reduced: 72.03, accuracy: 95.14
epoch: 250
loss: 0.9297605466971179
epoch: 251
loss: 0.9152899993397797
epoch: 252
loss: 0.9189654156525502
epoch: 253
loss: 0.9199369199513746
epoch: 254
loss: 0.9418637135600787
epoch: 255
loss: 0.9084300903297178
epoch: 256
loss: 0.9200692117374862
epoch: 257
loss: 0.9346346745915168
epoch: 258
loss: 0.9402948952106774
epoch: 259
loss: 0.9210308621514518
epoch: 260
loss: 0.9162822047655151
epoch: 261
loss: 0.9128965335393531
epoch: 262
loss: 0.9042526721311708
epoch: 263
loss: 0.9069014246251705
epoch: 264
loss: 0.9202565378898558
epoch: 265
loss: 0.9142210703654431
epoch: 266
loss: 0.9017682782401936
epoch: 267
loss: 0.9391073145956363
epoch: 268
loss: 0.9338655862204148
epoch: 269
loss: 0.9421638240711387
epoch: 270
loss: 0.9285129899927227
epoch: 271
loss: 0.9363911431433377
epoch: 272
loss: 0.910219145110354
epoch: 273
loss: 0.9390663425877409
epoch: 274
loss: 0.9472832771324404
IOU: [97.22, 78.7, 89.82, 31.31, 42.96, 56.41, 63.67, 72.51, 90.54, 58.11, 93.29, 75.68, 46.73, 92.84, 54.1, 76.79, 53.9, 37.83, 70.18]
mIOU: 67.51, mIOU_reduced: 68.61, accuracy: 94.58
epoch: 275
loss: 0.9473097623197859
epoch: 276
loss: 0.9214992781855026
epoch: 277
loss: 0.9131851006710947
epoch: 278
loss: 0.9115851171254469
epoch: 279
loss: 0.9182303142997453
epoch: 280
loss: 0.9043084108283256
epoch: 281
loss: 0.9027069852037249
epoch: 282
loss: 0.9061731790917903
epoch: 283
loss: 0.9060583797426558
epoch: 284
loss: 0.9073379782010924
epoch: 285
loss: 0.9175996059034712
epoch: 286
loss: 0.9379549744636865
epoch: 287
loss: 0.9188076993525831
epoch: 288
loss: 0.9267589329387942
epoch: 289
loss: 0.9072474053285192
epoch: 290
loss: 0.897310862322702
epoch: 291
loss: 0.9071753185714352
epoch: 292
loss: 0.9060886076518467
epoch: 293
loss: 0.9091414632501628
epoch: 294
loss: 0.9069570564838111
epoch: 295
loss: 0.9279360563928547
epoch: 296
loss: 0.9072780078954774
epoch: 297
loss: 0.9098289650726833
epoch: 298
loss: 0.9013607598379294
epoch: 299
loss: 0.9330379943642012
IOU: [97.34, 78.65, 89.97, 36.45, 53.89, 56.44, 65.26, 73.14, 91.15, 51.79, 93.74, 77.3, 54.39, 93.03, 68.91, 72.79, 43.62, 46.05, 72.98]
mIOU: 69.31, mIOU_reduced: 70.72, accuracy: 94.75
epoch: 300
loss: 0.9247744178193599
epoch: 301
loss: 0.9179701581798152
epoch: 302
loss: 0.9276338960282565
epoch: 303
loss: 0.9040193949748242
epoch: 304
loss: 0.9229447060839506
epoch: 305
loss: 0.938266933767622
epoch: 306
loss: 0.9324964623888227
epoch: 307
loss: 0.9272050695277931
epoch: 308
loss: 0.8993576294328325
epoch: 309
loss: 0.8927909434645003
epoch: 310
loss: 0.8992845764699972
epoch: 311
loss: 0.9048751894675818
epoch: 312
loss: 0.8912823155241193
epoch: 313
loss: 0.9136452615421737
epoch: 314
loss: 0.913087569799706
epoch: 315
loss: 0.9074473768231682
epoch: 316
loss: 0.9137448835565716
epoch: 317
loss: 0.9072702454749465
epoch: 318
loss: 0.920882544909526
epoch: 319
loss: 0.9008566258409917
epoch: 320
loss: 0.9103893366142746
epoch: 321
loss: 0.9126274092499458
epoch: 322
loss: 0.8983008249429358
epoch: 323
loss: 0.9058232774952993
epoch: 324
loss: 0.9145636152064383
IOU: [97.39, 80.22, 90.83, 41.72, 49.64, 55.21, 66.35, 72.89, 91.4, 59.61, 94.23, 77.14, 51.06, 92.39, 67.63, 70.89, 41.43, 49.78, 71.96]
mIOU: 69.57, mIOU_reduced: 71.36, accuracy: 94.93
epoch: 325
loss: 0.9031796105145765
epoch: 326
loss: 0.8993763062510529
epoch: 327
loss: 0.9173111485021134
epoch: 328
loss: 0.9290651274177263
epoch: 329
loss: 0.9029647127958642
epoch: 330
loss: 0.9123164367161671
epoch: 331
loss: 0.9228360967816047
epoch: 332
loss: 0.9081852685087775
epoch: 333
loss: 0.9018120410628717
epoch: 334
loss: 0.9093617734240714
epoch: 335
loss: 0.8906421942530938
epoch: 336
loss: 0.8925888668494726
epoch: 337
loss: 0.9444469886648688
epoch: 338
loss: 0.9171244391212566
epoch: 339
loss: 0.9151592855504902
epoch: 340
loss: 0.9100043955196268
epoch: 341
loss: 0.8940100514021203
epoch: 342
loss: 0.9410438073291932
epoch: 343
loss: 0.9249062374274364
epoch: 344
loss: 0.8977142916214113
epoch: 345
loss: 0.8947954557012676
epoch: 346
loss: 0.8989839772329818
epoch: 347
loss: 0.9029516376896367
epoch: 348
loss: 0.8980530945438581
epoch: 349
loss: 0.9018055931577142
IOU: [97.47, 79.34, 89.91, 41.09, 46.77, 54.89, 61.34, 72.91, 90.44, 56.15, 94.19, 74.34, 51.15, 92.15, 62.1, 70.54, 57.01, 37.93, 71.04]
mIOU: 68.46, mIOU_reduced: 69.44, accuracy: 94.6
epoch: 350
loss: 0.8921075008628825
epoch: 351
loss: 0.8869173697062901
epoch: 352
loss: 0.8881940742065965
epoch: 353
loss: 0.9017852591375778
epoch: 354
loss: 0.8965975237342546
epoch: 355
loss: 0.8903714199914444
epoch: 356
loss: 0.8962513361015731
epoch: 357
loss: 0.8888882538379042
epoch: 358
loss: 0.9048310061992018
epoch: 359
loss: 0.8945910490426734
epoch: 360
loss: 0.9014603522909941
epoch: 361
loss: 0.9022958092291079
epoch: 362
loss: 0.9011974598198246
epoch: 363
loss: 0.8971627372294423
epoch: 364
loss: 0.9188188700020474
epoch: 365
loss: 0.897423355405864
epoch: 366
loss: 0.8967838436766776
epoch: 367
loss: 0.8886971205392616
epoch: 368
loss: 0.8965781326242535
epoch: 369
loss: 0.8936519431618025
epoch: 370
loss: 0.9079287553411931
epoch: 371
loss: 0.8997264155801737
epoch: 372
loss: 0.8933885293508155
epoch: 373
loss: 0.918246318869835
epoch: 374
loss: 0.8932852070286589
IOU: [97.17, 78.74, 90.91, 30.66, 46.01, 60.0, 64.74, 76.12, 90.95, 53.85, 94.13, 78.66, 58.89, 93.8, 72.61, 74.55, 67.88, 48.14, 72.81]
mIOU: 71.09, mIOU_reduced: 70.97, accuracy: 94.8
epoch: 375
loss: 0.8900500224285691
epoch: 376
loss: 0.8987328373196954
epoch: 377
loss: 0.9103247839806857
epoch: 378
loss: 0.9071247796164047
epoch: 379
loss: 0.8908327486958465
epoch: 380
loss: 0.8924284154835416
epoch: 381
loss: 0.9094416539302733
epoch: 382
loss: 0.887744531959215
epoch: 383
loss: 0.9025380886147286
epoch: 384
loss: 0.9021604347100476
epoch: 385
loss: 0.8838390211532058
epoch: 386
loss: 0.8923349741976859
epoch: 387
loss: 0.9211442110673437
epoch: 388
loss: 0.8914074692122056
epoch: 389
loss: 0.8853642784681603
epoch: 390
loss: 0.8843276876644947
epoch: 391
loss: 0.9168270652827548
epoch: 392
loss: 0.8946829738642649
epoch: 393
loss: 0.8918370561137032
epoch: 394
loss: 0.8871892459309004
epoch: 395
loss: 0.8923877133834716
epoch: 396
loss: 0.8860103136124315
epoch: 397
loss: 0.8943067577007324
epoch: 398
loss: 0.9171499563355973
epoch: 399
loss: 0.8921112463159381
IOU: [97.0, 77.84, 90.84, 40.02, 51.38, 59.12, 65.66, 72.49, 90.89, 57.71, 94.02, 78.7, 55.62, 93.48, 53.52, 64.03, 53.37, 55.11, 73.32]
mIOU: 69.69, mIOU_reduced: 72.07, accuracy: 94.79
epoch: 400
loss: 0.8856938772124422
epoch: 401
loss: 0.88039312722548
epoch: 402
loss: 0.888160564668095
epoch: 403
loss: 0.8876227307512432
epoch: 404
loss: 0.8895076360663956
epoch: 405
loss: 0.9133430227757785
epoch: 406
loss: 0.9036870979555854
epoch: 407
loss: 0.8980647198594806
epoch: 408
loss: 0.8961636952634128
epoch: 409
loss: 0.9041845607307722
epoch: 410
loss: 0.926154578631779
epoch: 411
loss: 0.8974336213821349
epoch: 412
loss: 0.8848594092937171
epoch: 413
loss: 0.8967977625661783
epoch: 414
loss: 0.9004194816810422
epoch: 415
loss: 0.9195185539857397
epoch: 416
loss: 0.8808456092189264
epoch: 417
loss: 0.8821462119685993
epoch: 418
loss: 0.8842806208808467
epoch: 419
loss: 0.8760343772381786
epoch: 420
loss: 0.8769896592733994
epoch: 421
loss: 0.8799647958773487
epoch: 422
loss: 0.8907140993043741
epoch: 423
loss: 0.8746601874937587
epoch: 424
loss: 0.8702623199902455
IOU: [97.51, 81.45, 90.78, 45.46, 56.48, 60.02, 66.93, 75.74, 91.56, 60.38, 93.77, 76.06, 55.42, 92.2, 65.28, 83.14, 71.51, 53.03, 72.55]
mIOU: 73.12, mIOU_reduced: 73.08, accuracy: 95.14
epoch: 425
loss: 0.8782996871079396
epoch: 426
loss: 0.9140478599103634
epoch: 427
loss: 0.8993689695779846
epoch: 428
loss: 0.8921684148819299
epoch: 429
loss: 0.9083930494971674
epoch: 430
loss: 0.9011863741591934
epoch: 431
loss: 0.8865844266755241
epoch: 432
loss: 0.8750550722818812
epoch: 433
loss: 0.8872589546072516
epoch: 434
loss: 0.8831722068015456
epoch: 435
loss: 0.9052712869130055
epoch: 436
loss: 0.8938886897583214
epoch: 437
loss: 0.8868475448731785
epoch: 438
loss: 0.8808456230356365
epoch: 439
loss: 0.8847087138103988
epoch: 440
loss: 0.8850824458579811
epoch: 441
loss: 0.9116440132621806
epoch: 442
loss: 0.9002322414814623
epoch: 443
loss: 0.9013877258789186
epoch: 444
loss: 0.8723065597670419
epoch: 445
loss: 0.8839537980100215
epoch: 446
loss: 0.8876291089302125
epoch: 447
loss: 0.8792762693690482
epoch: 448
loss: 0.8786967920485854
epoch: 449
loss: 0.8963809821483582
IOU: [97.15, 77.85, 90.97, 44.04, 49.17, 60.73, 63.51, 74.32, 91.54, 56.38, 94.5, 76.83, 56.29, 93.55, 59.39, 74.87, 61.59, 47.37, 73.62]
mIOU: 70.72, mIOU_reduced: 71.74, accuracy: 94.97
epoch: 450
loss: 0.8857844915351456
epoch: 451
loss: 0.8783457097660178
epoch: 452
loss: 0.8791098363315962
epoch: 453
loss: 0.8725953360773483
epoch: 454
loss: 0.8733947977544162
epoch: 455
loss: 0.8774930155180857
epoch: 456
loss: 0.9019338135128072
epoch: 457
loss: 0.8905865278526779
epoch: 458
loss: 0.8951122273974663
epoch: 459
loss: 0.9036703580473311
epoch: 460
loss: 0.9101951199400458
epoch: 461
loss: 0.930039472817732
epoch: 462
loss: 0.9041175345847549
epoch: 463
loss: 0.8951812453989713
epoch: 464
loss: 0.8928298291491691
epoch: 465
loss: 0.8898800592216841
epoch: 466
loss: 0.8782219120434352
epoch: 467
loss: 0.8813740021456284
epoch: 468
loss: 0.8730575262375597
epoch: 469
loss: 0.874716158986413
epoch: 470
loss: 0.873839025709507
epoch: 471
loss: 0.8644810648298649
epoch: 472
loss: 0.8668443780703686
epoch: 473
loss: 0.8770405171373784
epoch: 474
loss: 0.8876484287074312
IOU: [97.6, 81.98, 89.56, 34.08, 48.47, 56.61, 64.91, 68.36, 91.35, 58.55, 93.81, 76.86, 54.61, 92.16, 46.22, 54.79, 31.1, 56.18, 72.98]
mIOU: 66.85, mIOU_reduced: 71.13, accuracy: 94.73
epoch: 475
loss: 0.942305765704646
epoch: 476
loss: 0.8865452950212833
epoch: 477
loss: 0.8827668307926455
epoch: 478
loss: 0.9055453927690449
epoch: 479
loss: 0.8862070971422118
epoch: 480
loss: 0.8788054856971268
epoch: 481
loss: 0.870751578692156
epoch: 482
loss: 0.8762896968669326
epoch: 483
loss: 0.8982880809557727
epoch: 484
loss: 0.8973092459282785
epoch: 485
loss: 0.8844932600494344
epoch: 486
loss: 0.891829743539548
epoch: 487
loss: 0.8979236324521088
epoch: 488
loss: 0.8751341061129403
epoch: 489
loss: 0.8779324972725943
epoch: 490
loss: 0.9132471781856609
epoch: 491
loss: 0.8872264541705663
epoch: 492
loss: 0.8836248611825496
epoch: 493
loss: 0.8767538154221609
epoch: 494
loss: 0.8750285782582676
epoch: 495
loss: 0.8688670954292996
epoch: 496
loss: 0.8765249451537016
epoch: 497
loss: 0.866773489511238
epoch: 498
loss: 0.8661286938543911
epoch: 499
loss: 0.8674782721822796
IOU: [97.0, 78.31, 90.69, 41.39, 52.15, 61.15, 63.33, 72.9, 91.63, 60.35, 94.44, 78.6, 57.67, 93.03, 48.06, 74.58, 73.24, 56.32, 74.41]
mIOU: 71.54, mIOU_reduced: 72.71, accuracy: 94.9
epoch: 500
loss: 0.8729064271777788
epoch: 501
loss: 0.8776965769474718
epoch: 502
loss: 0.874821303989688
epoch: 503
loss: 0.8625927050158663
epoch: 504
loss: 0.8753209274734127
epoch: 505
loss: 0.8673997237033279
epoch: 506
loss: 0.8834137296419581
epoch: 507
loss: 0.8686374258802265
epoch: 508
loss: 0.8661188161919381
epoch: 509
loss: 0.8670804486120486
epoch: 510
loss: 0.8647764689838789
epoch: 511
loss: 0.8679740337348691
epoch: 512
loss: 0.863943257261158
epoch: 513
loss: 0.8603375401458329
epoch: 514
loss: 0.8606782081634851
epoch: 515
loss: 0.8571291122475082
epoch: 516
loss: 0.8637873862952877
epoch: 517
loss: 0.8599582651876053
epoch: 518
loss: 0.8601887608474156
epoch: 519
loss: 0.8775008063753339
epoch: 520
loss: 0.887605952284728
epoch: 521
loss: 0.8732907232248558
epoch: 522
loss: 0.8599657744088905
epoch: 523
loss: 0.8607960014009091
epoch: 524
loss: 0.8726348431926532
IOU: [97.8, 82.41, 90.4, 44.42, 51.58, 60.17, 67.46, 75.82, 91.66, 61.82, 93.34, 77.57, 58.95, 79.46, 8.01, 19.26, 35.19, 49.16, 73.75]
mIOU: 64.12, mIOU_reduced: 72.24, accuracy: 93.94
epoch: 525
loss: 0.8783743585537708
epoch: 526
loss: 0.8690374385957127
epoch: 527
loss: 0.8619468385639859
epoch: 528
loss: 0.8559757495183508
epoch: 529
loss: 0.8678860522987386
epoch: 530
loss: 0.8873234360687173
epoch: 531
loss: 0.9081799662659432
epoch: 532
loss: 0.8897931776599421
epoch: 533
loss: 0.8701395847084066
epoch: 534
loss: 0.8669274226031856
epoch: 535
loss: 0.8651596031420314
epoch: 536
loss: 0.8876276368079481
epoch: 537
loss: 0.8777511603427384
epoch: 538
loss: 0.8580485244966903
epoch: 539
loss: 0.8610432678155822
epoch: 540
loss: 0.8551036741213015
epoch: 541
loss: 0.8499186713740511
epoch: 542
loss: 0.862415650784166
epoch: 543
loss: 0.8668814573005204
epoch: 544
loss: 0.8602718138951818
epoch: 545
loss: 0.8696711940585442
epoch: 546
loss: 0.8608045992504233
epoch: 547
loss: 0.8657252925104209
epoch: 548
loss: 0.8716712817348882
epoch: 549
loss: 0.8554688656747823
IOU: [97.6, 81.73, 91.49, 47.3, 53.75, 61.63, 69.16, 76.86, 91.86, 60.39, 93.95, 80.0, 59.36, 93.85, 65.73, 82.24, 66.0, 59.16, 75.54]
mIOU: 74.08, mIOU_reduced: 74.6, accuracy: 95.45
epoch: 550
loss: 0.8852317747722739
epoch: 551
loss: 0.8659221529960632
epoch: 552
loss: 0.8539508765919832
epoch: 553
loss: 0.8537067227929107
epoch: 554
loss: 0.8655529513834622
epoch: 555
loss: 0.8870237127468592
epoch: 556
loss: 0.90271114901391
epoch: 557
loss: 0.8811226652638932
epoch: 558
loss: 0.8590321484601723
epoch: 559
loss: 0.8809687945078004
epoch: 560
loss: 0.8839904667553554
epoch: 561
loss: 0.8733006368750189
epoch: 562
loss: 0.8785460409771079
epoch: 563
loss: 0.8768082982446306
epoch: 564
loss: 0.8850201737848575
epoch: 565
loss: 0.8692253374989142
epoch: 566
loss: 0.8702107892846161
epoch: 567
loss: 0.8746622403998259
epoch: 568
loss: 0.8801458677191618
epoch: 569
loss: 0.8675191641817839
epoch: 570
loss: 0.8564763621821236
epoch: 571
loss: 0.8568380730492728
epoch: 572
loss: 0.8498169170878326
epoch: 573
loss: 0.8462270830840756
epoch: 574
loss: 0.8494881479887949
IOU: [97.67, 82.4, 91.55, 39.86, 57.51, 62.55, 69.8, 77.62, 91.46, 62.55, 94.43, 80.12, 58.77, 94.54, 77.83, 83.96, 74.67, 56.61, 75.13]
mIOU: 75.21, mIOU_reduced: 74.54, accuracy: 95.52
epoch: 575
loss: 0.8615465916070655
epoch: 576
loss: 0.8731145902142692
epoch: 577
loss: 0.8626143999819486
epoch: 578
loss: 0.8539231218739018
epoch: 579
loss: 0.855563008720984
epoch: 580
loss: 0.8565075482640948
epoch: 581
loss: 0.8673733260753662
epoch: 582
loss: 0.8580775906776161
epoch: 583
loss: 0.8577052730755664
epoch: 584
loss: 0.8830106621482623
epoch: 585
loss: 0.8707627975394462
epoch: 586
loss: 0.8566383685705796
epoch: 587
loss: 0.8542141898301734
epoch: 588
loss: 0.8691028213565241
epoch: 589
loss: 0.8755906998629197
epoch: 590
loss: 0.851485473126414
epoch: 591
loss: 0.853050224382601
epoch: 592
loss: 0.8547854235551428
epoch: 593
loss: 0.845964870523571
epoch: 594
loss: 0.8424496430592395
epoch: 595
loss: 0.8655498492107238
epoch: 596
loss: 0.8954310542489641
epoch: 597
loss: 0.8673498477897232
epoch: 598
loss: 0.8488716158584122
epoch: 599
loss: 0.8559067850164326
IOU: [97.34, 80.16, 90.94, 31.16, 55.45, 60.0, 68.75, 74.39, 91.84, 60.0, 94.36, 79.63, 60.46, 94.11, 68.59, 79.51, 67.23, 48.94, 73.47]
mIOU: 72.44, mIOU_reduced: 72.56, accuracy: 95.18
epoch: 600
loss: 0.8717794063277643
epoch: 601
loss: 0.8685429513936416
epoch: 602
loss: 0.8684102070299442
epoch: 603
loss: 0.8613708422511736
epoch: 604
loss: 0.8543962082772885
epoch: 605
loss: 0.8535527668873255
epoch: 606
loss: 0.8490192183265789
epoch: 607
loss: 0.8506947158160557
epoch: 608
loss: 0.8464310259189246
epoch: 609
loss: 0.8502477884613922
epoch: 610
loss: 0.8536552913748029
epoch: 611
loss: 0.8458557193170018
epoch: 612
loss: 0.8420264528125444
epoch: 613
loss: 0.8500405897027399
epoch: 614
loss: 0.847512098014194
epoch: 615
loss: 0.8414835435039593
epoch: 616
loss: 0.8635324026053807
epoch: 617
loss: 0.8539036862612414
epoch: 618
loss: 0.845821149747648
epoch: 619
loss: 0.8658598666242512
epoch: 620
loss: 0.8509410683999485
epoch: 621
loss: 0.8464526738117969
epoch: 622
loss: 0.8531580625197316
epoch: 623
loss: 0.8498176620655625
epoch: 624
loss: 0.844045011181073
IOU: [98.0, 83.6, 91.73, 48.44, 57.58, 62.91, 68.82, 77.53, 91.94, 61.96, 94.59, 80.21, 59.59, 94.38, 73.3, 79.79, 68.96, 51.69, 74.9]
mIOU: 74.73, mIOU_reduced: 74.87, accuracy: 95.64
epoch: 625
loss: 0.8422050283282915
epoch: 626
loss: 0.8394623252580751
epoch: 627
loss: 0.8393083844544753
epoch: 628
loss: 0.8428288216218152
epoch: 629
loss: 0.8571546699480227
epoch: 630
loss: 0.8633426705781982
epoch: 631
loss: 0.863873731093908
epoch: 632
loss: 0.8571853628055748
epoch: 633
loss: 0.8545964223676614
epoch: 634
loss: 0.8461175546491885
epoch: 635
loss: 0.8513625826475755
epoch: 636
loss: 0.8531204921537332
epoch: 637
loss: 0.8579524978794499
epoch: 638
loss: 0.8681328033179928
epoch: 639
loss: 0.8626627281027021
epoch: 640
loss: 0.8526368199011708
epoch: 641
loss: 0.8546408483924249
epoch: 642
loss: 0.837548766656706
epoch: 643
loss: 0.8438181253777681
epoch: 644
loss: 0.8438665672453909
epoch: 645
loss: 0.8646414008423324
epoch: 646
loss: 0.838746164847577
epoch: 647
loss: 0.8376841692911646
epoch: 648
loss: 0.8359346897454275
epoch: 649
loss: 0.8719734583260879
IOU: [96.82, 78.24, 89.9, 21.93, 48.34, 57.84, 62.96, 73.3, 90.79, 59.21, 93.75, 75.64, 50.36, 91.76, 50.48, 78.45, 43.16, 40.91, 70.99]
mIOU: 67.1, mIOU_reduced: 68.92, accuracy: 94.42
epoch: 650
loss: 0.8833737697884079
epoch: 651
loss: 0.8700068231541512
epoch: 652
loss: 0.8867798505446339
epoch: 653
loss: 0.8608234974573243
epoch: 654
loss: 0.8597388555097452
epoch: 655
loss: 0.8557939825032278
epoch: 656
loss: 0.8448887555747019
epoch: 657
loss: 0.850776056234406
epoch: 658
loss: 0.8487589518336273
epoch: 659
loss: 0.8452641695657509
epoch: 660
loss: 0.8399717872033543
epoch: 661
loss: 0.8299995654355483
epoch: 662
loss: 0.844212864929775
epoch: 663
loss: 0.842675609569344
epoch: 664
loss: 0.8337396637127406
epoch: 665
loss: 0.8364790286015308
epoch: 666
loss: 0.835570558222799
epoch: 667
loss: 0.8277624749109109
epoch: 668
loss: 0.8397929922268397
epoch: 669
loss: 0.8401599058886423
epoch: 670
loss: 0.839826542251515
epoch: 671
loss: 0.8500460028005739
epoch: 672
loss: 0.8473549184773489
epoch: 673
loss: 0.8364688609488248
epoch: 674
loss: 0.8345416668611717
IOU: [98.04, 84.33, 91.36, 40.47, 57.17, 62.2, 70.41, 76.89, 91.15, 59.96, 93.82, 80.16, 58.45, 94.3, 69.17, 80.58, 77.45, 59.04, 74.36]
mIOU: 74.7, mIOU_reduced: 74.51, accuracy: 95.52
epoch: 675
loss: 0.8334337183728694
epoch: 676
loss: 0.829052426423024
epoch: 677
loss: 0.8317360436177318
epoch: 678
loss: 0.8273195359263459
epoch: 679
loss: 0.85617338631031
epoch: 680
loss: 0.8469643555882806
epoch: 681
loss: 0.8375264152362341
epoch: 682
loss: 0.8377238960278967
epoch: 683
loss: 0.8302624497130875
epoch: 684
loss: 0.8241024730661809
epoch: 685
loss: 0.8228287592409756
epoch: 686
loss: 0.8506122519063821
epoch: 687
loss: 0.847780479896422
epoch: 688
loss: 0.8442514358826403
epoch: 689
loss: 0.844577647123054
epoch: 690
loss: 0.8282553425053701
epoch: 691
loss: 0.8418626682456292
epoch: 692
loss: 0.8508205351161185
epoch: 693
loss: 0.8788494472555073
epoch: 694
loss: 0.8730035734305164
epoch: 695
loss: 0.8659427710620541
epoch: 696
loss: 0.8491925944215204
epoch: 697
loss: 0.8403432298542033
epoch: 698
loss: 0.842198376064352
epoch: 699
loss: 0.8326573479529018
IOU: [97.77, 82.68, 92.01, 47.56, 58.6, 63.33, 70.65, 77.41, 92.08, 63.62, 94.6, 80.63, 59.47, 94.58, 74.82, 77.28, 64.75, 60.47, 75.5]
mIOU: 75.15, mIOU_reduced: 75.69, accuracy: 95.69
epoch: 700
loss: 0.8427206963863013
epoch: 701
loss: 0.8328987135077422
epoch: 702
loss: 0.8447924780074477
epoch: 703
loss: 0.8528307416047047
epoch: 704
loss: 0.8630010414958964
epoch: 705
loss: 0.8894957763486795
epoch: 706
loss: 0.8644918952026779
epoch: 707
loss: 0.8477892401726098
epoch: 708
loss: 0.8390045815079681
epoch: 709
loss: 0.8506685773317383
epoch: 710
loss: 0.8629869720685193
epoch: 711
loss: 0.8329021214153567
epoch: 712
loss: 0.8433382819605002
epoch: 713
loss: 0.8295213125465373
epoch: 714
loss: 0.8307856467534911
epoch: 715
loss: 0.8440615473731831
epoch: 716
loss: 0.8361765923847085
epoch: 717
loss: 0.8314463109018989
epoch: 718
loss: 0.8204065007019558
epoch: 719
loss: 0.8442142136656049
epoch: 720
loss: 0.8501453737042984
epoch: 721
loss: 0.833004653132508
epoch: 722
loss: 0.8280182533829681
epoch: 723
loss: 0.8383266488818145
epoch: 724
loss: 0.8300882492746625
IOU: [97.68, 82.63, 91.84, 49.33, 56.65, 62.75, 70.35, 78.26, 92.31, 63.67, 94.59, 80.72, 60.12, 94.37, 60.42, 81.89, 56.33, 60.25, 75.62]
mIOU: 74.2, mIOU_reduced: 75.69, accuracy: 95.64
epoch: 725
loss: 0.8262709833862325
epoch: 726
loss: 0.822641433891903
epoch: 727
loss: 0.8267945870556279
epoch: 728
loss: 0.8212757080070413
epoch: 729
loss: 0.8190519207250075
epoch: 730
loss: 0.81986124030342
epoch: 731
loss: 0.8209502860863576
epoch: 732
loss: 0.8217179012105793
epoch: 733
loss: 0.8176975642253125
epoch: 734
loss: 0.8190518153324281
epoch: 735
loss: 0.8294995420705276
epoch: 736
loss: 0.8239526422518604
epoch: 737
loss: 0.8153511819171134
epoch: 738
loss: 0.8175983706895874
epoch: 739
loss: 0.8189239972685225
epoch: 740
loss: 0.8199657637153995
epoch: 741
loss: 0.8159482879137414
epoch: 742
loss: 0.8128687673501891
epoch: 743
loss: 0.822131294767169
epoch: 744
loss: 0.8284455160246383
epoch: 745
loss: 0.8257103057884463
epoch: 746
loss: 0.8187719806827947
epoch: 747
loss: 0.8275064045206877
epoch: 748
loss: 0.8236309368655367
epoch: 749
loss: 0.8217035750494491
IOU: [97.77, 82.67, 91.67, 41.85, 55.26, 63.81, 68.72, 78.02, 91.94, 60.71, 94.51, 80.98, 60.3, 94.6, 74.46, 80.32, 56.1, 60.83, 75.81]
mIOU: 74.23, mIOU_reduced: 74.97, accuracy: 95.61
epoch: 750
loss: 0.8118184266707326
epoch: 751
loss: 0.821861565273727
epoch: 752
loss: 0.8181879735699883
epoch: 753
loss: 0.8084676079351626
epoch: 754
loss: 0.8185468256634201
epoch: 755
loss: 0.8152387036146179
epoch: 756
loss: 0.8089962102010886
epoch: 757
loss: 0.8105124399025807
epoch: 758
loss: 0.8226174888906453
epoch: 759
loss: 0.8269462357312842
epoch: 760
loss: 0.865919183688665
epoch: 761
loss: 0.8529970326192295
epoch: 762
loss: 0.838531927278421
epoch: 763
loss: 0.822831526599483
epoch: 764
loss: 0.831542348122661
epoch: 765
loss: 0.8156729403210458
epoch: 766
loss: 0.8156461241752954
epoch: 767
loss: 0.8083725865639123
epoch: 768
loss: 0.8103815901954219
epoch: 769
loss: 0.8181225850254378
epoch: 770
loss: 0.8568326242850476
epoch: 771
loss: 0.8302141415141021
epoch: 772
loss: 0.8234266527900799
epoch: 773
loss: 0.8304822316388235
epoch: 774
loss: 0.822425737374555
IOU: [97.9, 83.44, 91.76, 40.16, 58.76, 62.47, 71.7, 78.42, 92.15, 62.02, 94.81, 81.22, 63.3, 94.3, 59.62, 81.69, 62.0, 54.4, 74.65]
mIOU: 73.93, mIOU_reduced: 75.09, accuracy: 95.64
epoch: 775
loss: 0.8152127972831623
epoch: 776
loss: 0.8064638826082338
epoch: 777
loss: 0.8102716319965866
epoch: 778
loss: 0.8226267690607159
epoch: 779
loss: 0.8094976868912216
epoch: 780
loss: 0.8214781088327783
epoch: 781
loss: 0.8141069129470866
epoch: 782
loss: 0.8114090185923718
epoch: 783
loss: 0.8043675422668457
epoch: 784
loss: 0.846189760936881
epoch: 785
loss: 0.8227734846888848
epoch: 786
loss: 0.8050353907831916
epoch: 787
loss: 0.8017823582068286
epoch: 788
loss: 0.8033340145956795
epoch: 789
loss: 0.8034936049877794
epoch: 790
loss: 0.8042299818157186
epoch: 791
loss: 0.8019774875872219
epoch: 792
loss: 0.801930459843813
epoch: 793
loss: 0.8228573858577286
epoch: 794
loss: 0.8254594849447677
epoch: 795
loss: 0.814942836922134
epoch: 796
loss: 0.8033662166878219
epoch: 797
loss: 0.8010145527011944
epoch: 798
loss: 0.7973807315942091
epoch: 799
loss: 0.8021800934143786
IOU: [98.12, 84.55, 91.66, 44.54, 57.74, 64.08, 70.13, 78.51, 92.06, 57.88, 94.81, 81.6, 63.27, 94.95, 78.2, 85.85, 79.67, 54.25, 76.37]
mIOU: 76.22, mIOU_reduced: 75.28, accuracy: 95.78
epoch: 800
loss: 0.7940325655063207
epoch: 801
loss: 0.7965800615976442
epoch: 802
loss: 0.7952388839901618
epoch: 803
loss: 0.7987250949173282
epoch: 804
loss: 0.7912299011274168
epoch: 805
loss: 0.793899709644986
epoch: 806
loss: 0.7894988101769008
epoch: 807
loss: 0.7928327037639052
epoch: 808
loss: 0.7963652263754462
epoch: 809
loss: 0.7868440225117933
epoch: 810
loss: 0.8084960054515828
epoch: 811
loss: 0.8989768013799929
epoch: 812
loss: 0.850370034695957
epoch: 813
loss: 0.8571254513013074
epoch: 814
loss: 0.8291182646532907
epoch: 815
loss: 0.8170057899868391
epoch: 816
loss: 0.8173531435249308
epoch: 817
loss: 0.808001279991592
epoch: 818
loss: 0.800828470213394
epoch: 819
loss: 0.8054623690576888
epoch: 820
loss: 0.8083004935411109
epoch: 821
loss: 0.8039310494201846
epoch: 822
loss: 0.8030262832050374
epoch: 823
loss: 0.8076233706384335
epoch: 824
loss: 0.808565805221825
IOU: [97.7, 83.39, 91.99, 42.76, 57.46, 64.17, 71.61, 78.53, 92.06, 63.38, 94.74, 81.51, 62.98, 94.71, 65.85, 80.51, 71.43, 58.59, 76.09]
mIOU: 75.23, mIOU_reduced: 75.73, accuracy: 95.69
epoch: 825
loss: 0.7984618832158914
epoch: 826
loss: 0.7895936977188542
epoch: 827
loss: 0.8154997628011472
epoch: 828
loss: 0.7963161306239845
epoch: 829
loss: 0.8013845624306773
epoch: 830
loss: 0.7899667132254238
epoch: 831
loss: 0.7933578137760213
epoch: 832
loss: 0.7893709551613286
epoch: 833
loss: 0.78208132879432
epoch: 834
loss: 0.7845959472206404
epoch: 835
loss: 0.7818527244172007
epoch: 836
loss: 0.7870999438100748
epoch: 837
loss: 0.7761736920259069
epoch: 838
loss: 0.7769300580988676
epoch: 839
loss: 0.7804231858960381
epoch: 840
loss: 0.7804084028195178
epoch: 841
loss: 0.7881683638153693
epoch: 842
loss: 0.7842738829211726
epoch: 843
loss: 0.7896628937309964
epoch: 844
loss: 0.7766517858620924
epoch: 845
loss: 0.7866513351545822
epoch: 846
loss: 0.7767951944767626
epoch: 847
loss: 0.7752246313660613
epoch: 848
loss: 0.7763514709922502
epoch: 849
loss: 0.7760232364071026
IOU: [97.34, 79.8, 92.01, 48.19, 58.78, 63.44, 71.97, 78.74, 92.07, 58.9, 94.79, 80.97, 59.47, 94.13, 63.15, 82.92, 78.39, 60.09, 76.22]
mIOU: 75.34, mIOU_reduced: 75.43, accuracy: 95.49
epoch: 850
loss: 0.7770756931317785
epoch: 851
loss: 0.7718352432842204
epoch: 852
loss: 0.7696519828228295
epoch: 853
loss: 0.7784324914939963
epoch: 854
loss: 0.7759020860304409
epoch: 855
loss: 0.7830494900919357
epoch: 856
loss: 0.7739959188870021
epoch: 857
loss: 0.7613895143460071
epoch: 858
loss: 0.7656797453399617
epoch: 859
loss: 0.7593683246974996
epoch: 860
loss: 0.7550730512469926
epoch: 861
loss: 0.7557463496521798
epoch: 862
loss: 0.7752613240496489
epoch: 863
loss: 0.7731707345121954
epoch: 864
loss: 0.7855666922430465
epoch: 865
loss: 0.7728313095164749
epoch: 866
loss: 0.7672228978650589
epoch: 867
loss: 0.7632264387254124
epoch: 868
loss: 0.767873777051499
epoch: 869
loss: 0.7678955454389361
epoch: 870
loss: 0.7621020632934056
epoch: 871
loss: 0.784105133174886
epoch: 872
loss: 0.7734918809643975
epoch: 873
loss: 0.7734715091892973
epoch: 874
loss: 0.774078426174719
IOU: [97.62, 81.97, 92.13, 43.06, 60.38, 65.21, 72.64, 79.07, 92.56, 61.68, 94.69, 81.56, 60.37, 95.02, 67.84, 84.23, 77.54, 58.61, 75.22]
mIOU: 75.86, mIOU_reduced: 75.74, accuracy: 95.74
epoch: 875
loss: 0.7619919964888026
epoch: 876
loss: 0.7696978671531471
epoch: 877
loss: 0.7611096973689098
epoch: 878
loss: 0.7621165751768251
epoch: 879
loss: 0.7588013306139615
epoch: 880
loss: 0.7439630208311055
epoch: 881
loss: 0.7649978765580211
epoch: 882
loss: 0.7529125346970366
epoch: 883
loss: 0.7593170026884567
epoch: 884
loss: 0.749514896914644
epoch: 885
loss: 0.7554513378284691
epoch: 886
loss: 0.7534094046389639
epoch: 887
loss: 0.7577005367716046
epoch: 888
loss: 0.7490104915639461
epoch: 889
loss: 0.7475774494624845
epoch: 890
loss: 0.7410593815248289
epoch: 891
loss: 0.7347205568837991
epoch: 892
loss: 0.7414136408474246
epoch: 893
loss: 0.7377818328029705
epoch: 894
loss: 0.7354236571293957
epoch: 895
loss: 0.7280801383632856
epoch: 896
loss: 0.7329781127747178
epoch: 897
loss: 0.7336747982109975
epoch: 898
loss: 0.7451816483970601
epoch: 899
loss: 0.7341488958047728
IOU: [98.08, 84.29, 92.55, 51.27, 60.56, 65.25, 73.46, 79.3, 92.37, 60.85, 95.11, 82.04, 61.96, 95.22, 77.47, 83.52, 79.83, 59.16, 76.26]
mIOU: 77.29, mIOU_reduced: 76.73, accuracy: 96.02
epoch: 900
loss: 0.730740703341132
epoch: 901
loss: 0.7282193793119446
epoch: 902
loss: 0.7225094654489399
epoch: 903
loss: 0.7402092906824662
epoch: 904
loss: 0.738550710549573
epoch: 905
loss: 0.7280911236117792
epoch: 906
loss: 0.7403032469620923
epoch: 907
loss: 0.7450648197587931
epoch: 908
loss: 0.7539032430982975
epoch: 909
loss: 0.7346879883275199
epoch: 910
loss: 0.7484817032544118
epoch: 911
loss: 0.7363736405366194
epoch: 912
loss: 0.7292550294547068
epoch: 913
loss: 0.7274262291401866
epoch: 914
loss: 0.7196527593380037
epoch: 915
loss: 0.7327430005664775
epoch: 916
loss: 0.7222900459708551
epoch: 917
loss: 0.7332738017778834
epoch: 918
loss: 0.7116204267242205
epoch: 919
loss: 0.7178013005025303
epoch: 920
loss: 0.7063846946405272
epoch: 921
loss: 0.7196608009042765
epoch: 922
loss: 0.7169453842299325
epoch: 923
loss: 0.7416529436959732
epoch: 924
loss: 0.7378212001445801
IOU: [98.24, 85.4, 92.21, 42.86, 59.27, 63.97, 72.28, 79.78, 92.2, 60.13, 94.88, 81.83, 61.26, 94.73, 61.31, 81.72, 72.57, 64.44, 77.05]
mIOU: 75.58, mIOU_reduced: 76.28, accuracy: 95.91
epoch: 925
loss: 0.7182411124121468
epoch: 926
loss: 0.721798009949553
epoch: 927
loss: 0.736816341986232
epoch: 928
loss: 0.7289063028408832
epoch: 929
loss: 0.7226613377625087
epoch: 930
loss: 0.7177396164428834
epoch: 931
loss: 0.7139788911027728
epoch: 932
loss: 0.7205116342341482
epoch: 933
loss: 0.7225176060617452
epoch: 934
loss: 0.7094746236852558
epoch: 935
loss: 0.6979599069713582
epoch: 936
loss: 0.6958453489763717
epoch: 937
loss: 0.699200674851307
epoch: 938
loss: 0.7017055569954638
epoch: 939
loss: 0.697410503407373
epoch: 940
loss: 0.7021695677482215
epoch: 941
loss: 0.6963903626020386
epoch: 942
loss: 0.6956473346347758
epoch: 943
loss: 0.6899635836763202
epoch: 944
loss: 0.6994645768259413
epoch: 945
loss: 0.699904624342597
epoch: 946
loss: 0.6859829759983361
epoch: 947
loss: 0.686945857625766
epoch: 948
loss: 0.6878961254001628
epoch: 949
loss: 0.6851082777559275
IOU: [98.05, 84.22, 92.44, 47.14, 58.59, 65.21, 73.34, 79.42, 92.46, 63.24, 94.99, 82.57, 63.24, 95.05, 72.56, 84.26, 82.82, 62.53, 77.13]
mIOU: 77.33, mIOU_reduced: 76.85, accuracy: 96.01
epoch: 950
loss: 0.6869610694219481
epoch: 951
loss: 0.6825597274174908
epoch: 952
loss: 0.6931578988495541
epoch: 953
loss: 0.6773350244423129
epoch: 954
loss: 0.6815365231583382
epoch: 955
loss: 0.6779825896265693
epoch: 956
loss: 0.6747123707497538
epoch: 957
loss: 0.6840018165722047
epoch: 958
loss: 0.6789807217783042
epoch: 959
loss: 0.6839277617372271
epoch: 960
loss: 0.6781136397563544
epoch: 961
loss: 0.6885469870747261
epoch: 962
loss: 0.6693944447445419
epoch: 963
loss: 0.6797908616033848
epoch: 964
loss: 0.6813245375522706
epoch: 965
loss: 0.6724806243197294
epoch: 966
loss: 0.6769419012043997
epoch: 967
loss: 0.6666572528547354
epoch: 968
loss: 0.6831805869093481
epoch: 969
loss: 0.6738456174369771
epoch: 970
loss: 0.677320392465977
epoch: 971
loss: 0.6714064478874207
epoch: 972
loss: 0.6728078185548036
epoch: 973
loss: 0.664283396339802
epoch: 974
loss: 0.6603078808424607
IOU: [98.19, 85.06, 92.49, 47.14, 60.42, 65.91, 73.58, 80.48, 92.66, 64.4, 95.14, 82.33, 61.3, 94.91, 65.06, 83.49, 80.85, 61.85, 77.35]
mIOU: 76.98, mIOU_reduced: 77.08, accuracy: 96.09
epoch: 975
loss: 0.664503696472497
epoch: 976
loss: 0.668520207996317
epoch: 977
loss: 0.6592375100301604
epoch: 978
loss: 0.6741061764907322
epoch: 979
loss: 0.6667394922428697
epoch: 980
loss: 0.6564054751813894
IOU: [98.18, 85.18, 92.56, 51.0, 60.28, 65.97, 74.08, 80.22, 92.67, 64.41, 95.06, 82.65, 63.36, 95.15, 70.89, 85.14, 82.51, 62.96, 77.24]
mIOU: 77.87, mIOU_reduced: 77.56, accuracy: 96.14
epoch: 981
loss: 0.667688805539653
IOU: [98.18, 85.06, 92.62, 52.47, 60.42, 66.0, 73.96, 80.28, 92.64, 64.34, 95.13, 82.6, 62.96, 95.23, 71.05, 84.49, 82.36, 62.07, 77.32]
mIOU: 77.85, mIOU_reduced: 77.58, accuracy: 96.15
epoch: 982
loss: 0.6563257751760457
IOU: [98.18, 85.06, 92.68, 52.36, 60.59, 66.08, 73.87, 80.1, 92.65, 64.59, 95.09, 82.52, 62.81, 95.08, 67.97, 85.26, 82.59, 63.54, 77.55]
mIOU: 77.82, mIOU_reduced: 77.67, accuracy: 96.15
epoch: 983
loss: 0.6594978538806227
IOU: [98.19, 84.94, 92.65, 52.34, 60.06, 66.27, 73.99, 80.16, 92.7, 64.46, 95.1, 82.62, 63.21, 95.27, 73.22, 84.45, 82.38, 64.45, 77.6]
mIOU: 78.11, mIOU_reduced: 77.75, accuracy: 96.16
epoch: 984
loss: 0.6583936298793217
IOU: [98.16, 84.73, 92.62, 51.9, 59.36, 66.29, 73.97, 80.02, 92.69, 64.29, 95.13, 82.68, 63.09, 95.15, 71.16, 84.65, 81.7, 63.13, 77.24]
mIOU: 77.79, mIOU_reduced: 77.53, accuracy: 96.13
epoch: 985
loss: 0.6618623347134603
IOU: [98.16, 84.73, 92.56, 49.41, 59.43, 66.57, 73.95, 80.2, 92.69, 63.6, 95.13, 82.63, 63.0, 95.17, 72.07, 84.42, 81.11, 63.72, 77.49]
mIOU: 77.69, mIOU_reduced: 77.4, accuracy: 96.11
epoch: 986
loss: 0.6518663428221751
IOU: [98.16, 84.84, 92.57, 51.69, 59.88, 66.1, 73.87, 79.86, 92.67, 63.96, 95.05, 82.64, 63.1, 95.08, 70.38, 84.39, 82.21, 65.13, 77.49]
mIOU: 77.85, mIOU_reduced: 77.63, accuracy: 96.12
epoch: 987
loss: 0.6535638131382009
IOU: [98.15, 84.76, 92.66, 51.27, 60.33, 66.28, 73.87, 79.69, 92.64, 63.77, 95.12, 82.71, 62.98, 95.05, 70.54, 84.75, 81.9, 63.22, 77.37]
mIOU: 77.74, mIOU_reduced: 77.49, accuracy: 96.12
epoch: 988
loss: 0.6539394415292457
IOU: [98.11, 84.42, 92.64, 51.34, 60.71, 65.9, 73.93, 79.65, 92.63, 63.09, 95.08, 82.68, 63.37, 95.12, 71.16, 84.67, 81.36, 63.52, 77.42]
mIOU: 77.73, mIOU_reduced: 77.48, accuracy: 96.1
epoch: 989
loss: 0.6561892536290572
IOU: [98.15, 84.72, 92.61, 51.69, 60.5, 66.13, 73.86, 79.82, 92.68, 64.11, 95.11, 82.77, 63.34, 95.23, 74.28, 85.07, 81.53, 64.58, 77.55]
mIOU: 78.09, mIOU_reduced: 77.68, accuracy: 96.14
epoch: 990
loss: 0.6550371813163604
IOU: [98.14, 84.71, 92.6, 50.49, 60.9, 66.01, 73.84, 79.59, 92.6, 64.11, 95.12, 82.64, 63.38, 95.04, 69.98, 84.77, 81.94, 63.68, 77.4]
mIOU: 77.73, mIOU_reduced: 77.52, accuracy: 96.11
epoch: 991
loss: 0.6529265058169147
IOU: [98.17, 84.85, 92.65, 52.77, 61.02, 66.35, 73.92, 79.59, 92.66, 63.89, 95.09, 82.65, 63.01, 95.1, 71.02, 84.79, 81.21, 63.67, 77.38]
mIOU: 77.88, mIOU_reduced: 77.67, accuracy: 96.14
epoch: 992
loss: 0.6509421394681031
IOU: [98.18, 85.02, 92.64, 52.44, 60.75, 66.12, 74.01, 79.79, 92.65, 64.08, 95.11, 82.68, 63.25, 95.07, 70.98, 85.17, 82.01, 64.51, 77.51]
mIOU: 78.0, mIOU_reduced: 77.74, accuracy: 96.15
epoch: 993
loss: 0.6501812584637953
IOU: [98.18, 84.97, 92.68, 52.75, 60.51, 66.44, 73.95, 79.78, 92.67, 63.9, 95.13, 82.68, 63.07, 94.97, 68.02, 85.15, 82.42, 63.14, 77.43]
mIOU: 77.78, mIOU_reduced: 77.64, accuracy: 96.14
epoch: 994
loss: 0.6558195644151168
IOU: [98.18, 84.83, 92.67, 53.25, 60.35, 65.89, 73.95, 79.83, 92.61, 63.39, 95.1, 82.69, 63.21, 95.18, 70.56, 84.47, 82.33, 63.08, 77.36]
mIOU: 77.84, mIOU_reduced: 77.6, accuracy: 96.14
epoch: 995
loss: 0.6571210271746644
IOU: [98.15, 84.78, 92.67, 53.26, 60.26, 65.99, 73.94, 79.91, 92.63, 64.05, 95.14, 82.7, 63.33, 95.05, 68.39, 84.94, 82.61, 64.24, 77.47]
mIOU: 77.87, mIOU_reduced: 77.72, accuracy: 96.13
epoch: 996
loss: 0.644451225221639
IOU: [98.17, 84.81, 92.7, 53.54, 60.92, 66.16, 74.1, 79.98, 92.62, 63.57, 95.11, 82.67, 63.08, 95.01, 68.02, 84.58, 81.79, 63.94, 77.5]
mIOU: 77.8, mIOU_reduced: 77.74, accuracy: 96.13
epoch: 997
loss: 0.6525450824405947
IOU: [98.19, 84.93, 92.68, 53.2, 60.84, 66.03, 74.09, 79.78, 92.65, 63.7, 95.11, 82.68, 62.99, 95.1, 69.94, 85.17, 82.41, 63.76, 77.54]
mIOU: 77.94, mIOU_reduced: 77.7, accuracy: 96.15
epoch: 998
loss: 0.6507752838963768
IOU: [98.18, 84.86, 92.69, 52.31, 60.64, 66.23, 74.16, 80.01, 92.67, 64.02, 95.13, 82.74, 63.16, 95.07, 68.89, 84.72, 82.23, 64.18, 77.52]
mIOU: 77.86, mIOU_reduced: 77.72, accuracy: 96.14
epoch: 999
loss: 0.6532098409139885
IOU: [98.16, 84.75, 92.63, 51.74, 60.81, 66.16, 74.14, 79.8, 92.68, 63.92, 95.12, 82.66, 63.05, 95.14, 70.23, 84.81, 82.3, 63.24, 77.44]
mIOU: 77.83, mIOU_reduced: 77.59, accuracy: 96.13
Best mIOU: 78.10808322304173
Best global accuracy: 96.16098999977112
Training time 2 days, 3:28:14
mIOUs: [78.10808322304173]
global_accuracies: [96.16098999977112]
