{'model_name': 'exp48_decoder26', 'model_type': 'experimental2', 'num_classes': 19, 'ignore_value': 255, 'pretrained_backbone': False, 'epochs': 500, 'max_epochs': 500, 'resume': False, 'lr': 0.05, 'momentum': 0.9, 'weight_decay': 0.0001, 'class_weight': None, 'bn_weight_decay': False, 'bn_precise_stats': False, 'bn_precise_num_samples': 600, 'lr_scheduler': 'poly', 'poly_power': 0.9, 'warmup_iters': 3000, 'warmup_factor': 0.1, 'mixed_precision': True, 'run': 2, 'RNG_seed': 2, 'loss_type': 'bootstrapped', 'eval_while_train': True, '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': 6, 'class_uniform_pct': 0, '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': 10, 'save_dir': 'checkpoints', 'log_dir': 'logs', 'save_name': 'exp48_decoder26_1024_crop_bootstrapped_no_class_uniform', 'save_best_path': 'checkpoints/exp48_decoder26_1024_crop_bootstrapped_no_class_uniform_run2', 'save_latest_path': 'checkpoints/exp48_decoder26_1024_crop_bootstrapped_no_class_uniform_latest', 'resume_path': 'checkpoints/exp48_decoder26_1024_crop_bootstrapped_no_class_uniform_latest', 'log_path': 'logs/exp48_decoder26_1024_crop_bootstrapped_no_class_uniform_run2.txt'}
run: 2
epoch: 0
loss: 1.4626799717425014
IOU: [84.45, 11.32, 62.97, 0.0, 0.0, 0.0, 0.0, 0.0, 72.16, 23.3, 67.22, 0.12, 0.0, 44.26, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 19.25, mIOU_reduced: 22.86, accuracy: 78.09
epoch: 1
loss: 1.293055807162488
epoch: 2
loss: 1.2776246660481887
epoch: 3
loss: 1.2777991256302579
epoch: 4
loss: 1.2396618031427225
epoch: 5
loss: 1.2220084504939797
epoch: 6
loss: 1.2080758124027613
epoch: 7
loss: 1.1826281727484937
epoch: 8
loss: 1.1887732787594962
epoch: 9
loss: 1.1628088298833594
epoch: 10
loss: 1.166218082056534
epoch: 11
loss: 1.1428134748235224
epoch: 12
loss: 1.123876531329759
epoch: 13
loss: 1.1244133365443454
epoch: 14
loss: 1.1156198661925014
epoch: 15
loss: 1.0933914518741905
epoch: 16
loss: 1.0996496325554552
epoch: 17
loss: 1.102428166210812
epoch: 18
loss: 1.086627949440897
epoch: 19
loss: 1.087111938674495
epoch: 20
loss: 1.0899933769375165
epoch: 21
loss: 1.0806261215891158
epoch: 22
loss: 1.0657843748192903
epoch: 23
loss: 1.0666220732776301
epoch: 24
loss: 1.073016239465729
IOU: [96.22, 71.76, 86.14, 15.9, 32.5, 44.98, 38.32, 49.8, 88.83, 51.24, 91.16, 61.31, 5.87, 87.09, 18.73, 34.58, 23.38, 4.96, 59.16]
mIOU: 50.63, mIOU_reduced: 55.33, accuracy: 92.24
epoch: 25
loss: 1.0652493280220545
epoch: 26
loss: 1.0603213503033002
epoch: 27
loss: 1.0554144626679125
epoch: 28
loss: 1.0496275334988001
epoch: 29
loss: 1.041846569657647
epoch: 30
loss: 1.0365791855796649
epoch: 31
loss: 1.034604376859742
epoch: 32
loss: 1.0441498937953835
epoch: 33
loss: 1.047435998916626
epoch: 34
loss: 1.0443470720653585
epoch: 35
loss: 1.0367818807334592
epoch: 36
loss: 1.0355246087932843
epoch: 37
loss: 1.0263350893545022
epoch: 38
loss: 1.0184298281399708
epoch: 39
loss: 1.02389028563975
epoch: 40
loss: 1.0356928455540433
epoch: 41
loss: 1.0285080727541223
epoch: 42
loss: 1.0241779042382768
epoch: 43
loss: 1.0239413091435907
epoch: 44
loss: 1.0234487681697322
epoch: 45
loss: 1.0176526052611214
epoch: 46
loss: 1.0225597613583999
epoch: 47
loss: 1.0072981657364941
epoch: 48
loss: 1.0049451289151234
epoch: 49
loss: 0.9985325996766514
IOU: [95.22, 66.4, 86.69, 24.84, 44.45, 48.1, 49.74, 64.85, 87.47, 50.04, 90.34, 70.54, 41.37, 90.6, 41.39, 35.92, 32.67, 27.35, 58.49]
mIOU: 58.24, mIOU_reduced: 62.28, accuracy: 92.47
epoch: 50
loss: 0.9999384139425992
epoch: 51
loss: 0.9967924599056295
epoch: 52
loss: 1.0144801424198717
epoch: 53
loss: 1.0041367938576362
epoch: 54
loss: 0.9971104193569194
epoch: 55
loss: 0.9949100859402967
epoch: 56
loss: 0.9894348256028888
epoch: 57
loss: 1.0013538905873773
epoch: 58
loss: 1.0095236728776176
epoch: 59
loss: 1.009328351669877
epoch: 60
loss: 0.9939951483772771
epoch: 61
loss: 0.9995721610729906
epoch: 62
loss: 0.9943572374367007
epoch: 63
loss: 0.9972752890175565
epoch: 64
loss: 0.9844872021289527
epoch: 65
loss: 0.9965237822494095
epoch: 66
loss: 0.974828739050585
epoch: 67
loss: 0.9824671147647251
epoch: 68
loss: 0.9815682725443673
epoch: 69
loss: 0.9840316039853982
epoch: 70
loss: 0.9788937313216073
epoch: 71
loss: 0.9759062501298128
epoch: 72
loss: 0.9816119868479006
epoch: 73
loss: 0.973099549022325
epoch: 74
loss: 0.9793110084983537
IOU: [97.17, 77.41, 87.65, 36.41, 38.9, 52.32, 53.46, 66.8, 89.97, 58.16, 90.56, 70.3, 47.2, 88.8, 48.86, 55.32, 36.69, 14.17, 59.62]
mIOU: 61.57, mIOU_reduced: 64.31, accuracy: 93.57
epoch: 75
loss: 0.9919661926130722
epoch: 76
loss: 0.9957428735221493
epoch: 77
loss: 0.9704559591581237
epoch: 78
loss: 0.9717464230131267
epoch: 79
loss: 0.969265366982257
epoch: 80
loss: 0.9730022899866747
epoch: 81
loss: 0.974238666241381
epoch: 82
loss: 0.9731442280856747
epoch: 83
loss: 0.9720901975413218
epoch: 84
loss: 0.9729759127624594
epoch: 85
loss: 0.9810976120982209
epoch: 86
loss: 0.9665461916807848
epoch: 87
loss: 0.959431608250199
epoch: 88
loss: 0.9611004248783594
epoch: 89
loss: 0.9579872519500815
epoch: 90
loss: 0.9674238954592908
epoch: 91
loss: 0.9764692412232453
epoch: 92
loss: 0.9672287913024264
epoch: 93
loss: 0.9675949685014483
epoch: 94
loss: 0.9646837507296765
epoch: 95
loss: 0.9604095758774852
epoch: 96
loss: 0.963901975244846
epoch: 97
loss: 0.9664047737969864
epoch: 98
loss: 0.9496297508558494
epoch: 99
loss: 0.9588129552548144
IOU: [96.87, 75.01, 89.73, 44.43, 53.08, 54.06, 50.6, 69.1, 91.02, 55.88, 93.22, 73.57, 45.86, 91.57, 46.14, 50.79, 46.56, 29.04, 69.33]
mIOU: 64.52, mIOU_reduced: 67.65, accuracy: 94.27
epoch: 100
loss: 0.9466295663237251
epoch: 101
loss: 0.951851189457824
epoch: 102
loss: 0.9572006629483719
epoch: 103
loss: 0.9438024013832894
epoch: 104
loss: 0.9667961420717265
epoch: 105
loss: 0.9526686311732084
epoch: 106
loss: 0.9491197778529555
epoch: 107
loss: 0.9554123049476397
epoch: 108
loss: 0.944970939358611
epoch: 109
loss: 0.9428352949754247
epoch: 110
loss: 0.9563576151739877
epoch: 111
loss: 0.970931215748954
epoch: 112
loss: 0.9677773826527145
epoch: 113
loss: 0.954331259521834
epoch: 114
loss: 0.9799795430304227
epoch: 115
loss: 0.9557186766776113
epoch: 116
loss: 0.9379285575565944
epoch: 117
loss: 0.9418746697292174
epoch: 118
loss: 0.9410600446947822
epoch: 119
loss: 0.9319683310156562
epoch: 120
loss: 0.9642455124790777
epoch: 121
loss: 0.9465916797799884
epoch: 122
loss: 0.9534495882589541
epoch: 123
loss: 0.9616263118394301
epoch: 124
loss: 0.9551124442619776
IOU: [97.27, 76.33, 88.14, 29.85, 44.72, 52.77, 55.62, 70.35, 90.27, 54.28, 93.4, 74.14, 52.08, 90.57, 36.99, 61.85, 49.32, 39.81, 68.56]
mIOU: 64.54, mIOU_reduced: 67.38, accuracy: 93.9
epoch: 125
loss: 0.9444673252555559
epoch: 126
loss: 0.9537949682567319
epoch: 127
loss: 0.9375245253030823
epoch: 128
loss: 0.9362282306357536
epoch: 129
loss: 0.9422875318244461
epoch: 130
loss: 0.9340939205290494
epoch: 131
loss: 0.9350337580529184
epoch: 132
loss: 0.949017898413049
epoch: 133
loss: 0.9460609772134663
epoch: 134
loss: 0.952442927501915
epoch: 135
loss: 0.92881790341714
epoch: 136
loss: 0.9337557231319561
epoch: 137
loss: 0.9401687721036515
epoch: 138
loss: 0.9392549569073392
epoch: 139
loss: 0.9545256084187654
epoch: 140
loss: 0.9493373539248566
epoch: 141
loss: 0.9337118917077056
epoch: 142
loss: 0.969530872257572
epoch: 143
loss: 0.9479479388085337
epoch: 144
loss: 0.9528033379917196
epoch: 145
loss: 0.9462153309117751
epoch: 146
loss: 0.9294568946098061
epoch: 147
loss: 0.9378248323006129
epoch: 148
loss: 0.9304115124789852
epoch: 149
loss: 0.9382400713519587
IOU: [97.62, 80.09, 90.36, 38.05, 52.03, 57.83, 59.92, 70.71, 91.1, 55.31, 93.95, 76.07, 51.5, 92.48, 47.58, 66.62, 54.39, 41.29, 68.95]
mIOU: 67.68, mIOU_reduced: 69.83, accuracy: 94.8
epoch: 150
loss: 0.9271788886293889
epoch: 151
loss: 0.9261014135378711
epoch: 152
loss: 0.9376413349835377
epoch: 153
loss: 0.9357121524142448
epoch: 154
loss: 0.9258213674604411
epoch: 155
loss: 0.9293706229112219
epoch: 156
loss: 0.9228595233349145
epoch: 157
loss: 0.9268249649243213
epoch: 158
loss: 0.9341005308608803
epoch: 159
loss: 0.9303413301786644
epoch: 160
loss: 0.9264467427672723
epoch: 161
loss: 0.9277311569918198
epoch: 162
loss: 0.9388492006175922
epoch: 163
loss: 0.963489446678573
epoch: 164
loss: 0.9307392636399385
epoch: 165
loss: 0.92917468171878
epoch: 166
loss: 0.9190146902179461
epoch: 167
loss: 0.9199985619182536
epoch: 168
loss: 0.9195061113956482
epoch: 169
loss: 0.9270931207587455
epoch: 170
loss: 0.9295097541294972
epoch: 171
loss: 0.9183933635284959
epoch: 172
loss: 0.9274876047016154
epoch: 173
loss: 0.926038754436205
epoch: 174
loss: 0.9296347441056346
IOU: [97.22, 78.35, 89.5, 27.51, 48.66, 54.76, 58.14, 71.4, 91.1, 57.58, 92.65, 75.88, 54.08, 91.99, 55.28, 67.94, 43.73, 46.32, 70.38]
mIOU: 66.97, mIOU_reduced: 69.09, accuracy: 94.42
epoch: 175
loss: 0.9122427195872901
epoch: 176
loss: 0.911332994458489
epoch: 177
loss: 0.9424933837751815
epoch: 178
loss: 0.9284047264294483
epoch: 179
loss: 0.9402788042058199
epoch: 180
loss: 0.9199524759603639
epoch: 181
loss: 0.9187070282321734
epoch: 182
loss: 0.9268306611040532
epoch: 183
loss: 0.9202213346797501
epoch: 184
loss: 0.9265954516968637
epoch: 185
loss: 0.916552961193969
epoch: 186
loss: 0.9255669782103876
epoch: 187
loss: 0.9057884839667143
epoch: 188
loss: 0.9157536775275382
epoch: 189
loss: 0.9089079602066719
epoch: 190
loss: 0.910798035541956
epoch: 191
loss: 0.9130089005048706
epoch: 192
loss: 0.9090109083530395
epoch: 193
loss: 0.9125082343415108
epoch: 194
loss: 0.922976839253202
epoch: 195
loss: 0.9156034132541029
epoch: 196
loss: 0.9110650704556077
epoch: 197
loss: 0.9184787160945389
epoch: 198
loss: 0.9149326879701846
epoch: 199
loss: 0.9214237335557244
IOU: [97.7, 81.83, 91.21, 50.9, 56.3, 60.08, 59.98, 72.59, 91.56, 52.68, 94.41, 77.72, 57.23, 93.46, 65.77, 66.2, 51.21, 52.79, 72.51]
mIOU: 70.85, mIOU_reduced: 72.68, accuracy: 95.21
epoch: 200
loss: 0.9113491831442738
epoch: 201
loss: 0.90495909770544
epoch: 202
loss: 0.9318293715423008
epoch: 203
loss: 0.9231813051951221
epoch: 204
loss: 0.916434761970191
epoch: 205
loss: 0.9168090711064094
epoch: 206
loss: 0.92632191473583
epoch: 207
loss: 0.9104138964591322
epoch: 208
loss: 0.9079455301125416
epoch: 209
loss: 0.9438978097830821
epoch: 210
loss: 0.9127359364553281
epoch: 211
loss: 0.9151805475394359
epoch: 212
loss: 0.9022281529768458
epoch: 213
loss: 0.9044527149586022
epoch: 214
loss: 0.9114539525258252
epoch: 215
loss: 0.9093597817292431
epoch: 216
loss: 0.8960743207494525
epoch: 217
loss: 0.9058179864986244
epoch: 218
loss: 0.8981252947264926
epoch: 219
loss: 0.900727018191808
epoch: 220
loss: 0.9025469247221626
epoch: 221
loss: 0.9060846902932118
epoch: 222
loss: 0.905616894083203
epoch: 223
loss: 0.9228543803055653
epoch: 224
loss: 0.9166827050823407
IOU: [97.78, 82.2, 90.65, 32.13, 55.52, 59.53, 62.68, 72.75, 91.72, 60.98, 93.81, 77.8, 53.75, 91.34, 40.82, 57.07, 59.05, 45.91, 70.25]
mIOU: 68.2, mIOU_reduced: 71.18, accuracy: 95.01
epoch: 225
loss: 0.9109964380367104
epoch: 226
loss: 0.9047567439529131
epoch: 227
loss: 0.9133401921174596
epoch: 228
loss: 0.9009799613464232
epoch: 229
loss: 0.898464859335249
epoch: 230
loss: 0.9235335896921286
epoch: 231
loss: 0.9002935165022261
epoch: 232
loss: 0.8939397857195605
epoch: 233
loss: 0.9150501533017326
epoch: 234
loss: 0.9044455789491495
epoch: 235
loss: 0.9024919660264912
epoch: 236
loss: 0.8980322324362084
epoch: 237
loss: 0.8996586086293757
epoch: 238
loss: 0.9002660199638326
epoch: 239
loss: 0.8954217782560384
epoch: 240
loss: 0.8939648526055473
epoch: 241
loss: 0.9007275202524951
epoch: 242
loss: 0.9135229937792467
epoch: 243
loss: 0.9059587154748305
epoch: 244
loss: 0.8968441192351905
epoch: 245
loss: 0.8928613969579219
epoch: 246
loss: 0.8877050431590838
epoch: 247
loss: 0.8873170921102046
epoch: 248
loss: 0.8968315837839543
epoch: 249
loss: 0.8983764764112282
IOU: [97.67, 80.85, 90.27, 30.48, 49.94, 60.81, 63.67, 74.65, 91.75, 63.39, 94.2, 77.87, 56.77, 93.21, 53.16, 75.87, 65.27, 41.5, 72.07]
mIOU: 70.18, mIOU_reduced: 71.19, accuracy: 95.06
epoch: 250
loss: 0.8858309683774038
epoch: 251
loss: 0.890116274356842
epoch: 252
loss: 0.8934810270838982
epoch: 253
loss: 0.912303205609643
epoch: 254
loss: 0.9130871249337723
epoch: 255
loss: 0.9275908071718447
epoch: 256
loss: 0.8985082266144354
epoch: 257
loss: 0.910089855727481
epoch: 258
loss: 0.9003097427823151
epoch: 259
loss: 0.8978072038557973
epoch: 260
loss: 0.8899299248530859
epoch: 261
loss: 0.8991576100616764
epoch: 262
loss: 0.8962971574533982
epoch: 263
loss: 0.8887444069443365
epoch: 264
loss: 0.8837668754341146
epoch: 265
loss: 0.8863299032748548
epoch: 266
loss: 0.8890793408666339
epoch: 267
loss: 0.8945454381546885
epoch: 268
loss: 0.901636503777414
epoch: 269
loss: 0.8937153292473435
epoch: 270
loss: 0.8784505170631923
epoch: 271
loss: 0.8832693299193266
epoch: 272
loss: 0.8808222691003845
epoch: 273
loss: 0.8941398348127093
epoch: 274
loss: 0.8888348247805695
IOU: [97.38, 79.1, 90.97, 50.01, 49.96, 61.05, 63.93, 73.04, 91.87, 56.04, 94.77, 78.31, 57.88, 92.78, 52.25, 74.74, 63.75, 40.72, 69.69]
mIOU: 70.43, mIOU_reduced: 71.72, accuracy: 95.02
epoch: 275
loss: 0.8971893477311352
epoch: 276
loss: 0.8874927852352996
epoch: 277
loss: 0.9265874461986305
epoch: 278
loss: 0.899241395234419
epoch: 279
loss: 0.8875976770393289
epoch: 280
loss: 0.8858768731114678
epoch: 281
loss: 0.9045523297433262
epoch: 282
loss: 0.8842527999710844
epoch: 283
loss: 0.8849870419566522
epoch: 284
loss: 0.8863239982378772
epoch: 285
loss: 0.8798478949423427
epoch: 286
loss: 0.882973086801822
epoch: 287
loss: 0.8747063333776119
epoch: 288
loss: 0.8889119295739742
epoch: 289
loss: 0.8936139484942762
epoch: 290
loss: 0.89234857642747
epoch: 291
loss: 0.8811054737420095
epoch: 292
loss: 0.8836545952246838
epoch: 293
loss: 0.8753257159274223
epoch: 294
loss: 0.8740430609235224
epoch: 295
loss: 0.8681589671864985
epoch: 296
loss: 0.8711530726874935
epoch: 297
loss: 0.8793308052091264
epoch: 298
loss: 0.8732070471398593
epoch: 299
loss: 0.8731245486884104
IOU: [97.91, 82.9, 90.96, 43.5, 52.51, 62.24, 66.26, 74.57, 92.26, 60.83, 94.32, 77.22, 59.11, 93.59, 67.39, 74.69, 65.4, 55.84, 72.65]
mIOU: 72.85, mIOU_reduced: 73.54, accuracy: 95.42
epoch: 300
loss: 0.8673392553535112
epoch: 301
loss: 0.8652176109928327
epoch: 302
loss: 0.8655309118029242
epoch: 303
loss: 0.8626485812374846
epoch: 304
loss: 0.8641858910614589
epoch: 305
loss: 0.8792074046366298
epoch: 306
loss: 0.8715923104003434
epoch: 307
loss: 0.8740255443876324
epoch: 308
loss: 0.8772999498079408
epoch: 309
loss: 0.8722136088137357
epoch: 310
loss: 0.883062166987725
epoch: 311
loss: 0.8800288552865185
epoch: 312
loss: 0.898880171165312
epoch: 313
loss: 0.8775855492388784
epoch: 314
loss: 0.8905215175004019
epoch: 315
loss: 0.8835318425916275
epoch: 316
loss: 0.8818526655194573
epoch: 317
loss: 0.8765728984560285
epoch: 318
loss: 0.8774816323162089
epoch: 319
loss: 0.8827226904203307
epoch: 320
loss: 0.8682413922165925
epoch: 321
loss: 0.8673836261114342
epoch: 322
loss: 0.8664920357359709
epoch: 323
loss: 0.8627742901645259
epoch: 324
loss: 0.8713290810263703
IOU: [97.9, 82.62, 90.93, 34.46, 54.74, 60.86, 66.15, 74.57, 91.86, 62.11, 93.88, 78.16, 49.4, 93.48, 57.73, 75.05, 64.14, 45.5, 68.98]
mIOU: 70.66, mIOU_reduced: 71.6, accuracy: 95.24
epoch: 325
loss: 0.8677374267513861
epoch: 326
loss: 0.8681598871223367
epoch: 327
loss: 0.874371014997323
epoch: 328
loss: 0.8696423847720308
epoch: 329
loss: 0.865493276048542
epoch: 330
loss: 0.8715766035321588
epoch: 331
loss: 0.8658899497793049
epoch: 332
loss: 0.8771598555971027
epoch: 333
loss: 0.8882758757174818
epoch: 334
loss: 0.8824277820612864
epoch: 335
loss: 0.8752253882968523
epoch: 336
loss: 0.8642584830924186
epoch: 337
loss: 0.8588733240921864
epoch: 338
loss: 0.8736218843819961
epoch: 339
loss: 0.8834241851963445
epoch: 340
loss: 0.8703995767950691
epoch: 341
loss: 0.8705965563293416
epoch: 342
loss: 0.8651927815614685
epoch: 343
loss: 0.8624612449635713
epoch: 344
loss: 0.8626734638471166
epoch: 345
loss: 0.8541166769526397
epoch: 346
loss: 0.8540385871563317
epoch: 347
loss: 0.8676303517465
epoch: 348
loss: 0.8583661997414663
epoch: 349
loss: 0.8597384612515288
IOU: [98.04, 83.83, 91.89, 54.77, 58.44, 63.31, 67.7, 75.45, 92.19, 63.18, 94.05, 80.34, 58.95, 94.06, 65.69, 77.58, 73.81, 54.84, 74.13]
mIOU: 74.86, mIOU_reduced: 75.32, accuracy: 95.74
epoch: 350
loss: 0.852703686833703
epoch: 351
loss: 0.8613222357076454
epoch: 352
loss: 0.8493170106828695
epoch: 353
loss: 0.8465127311948175
epoch: 354
loss: 0.8543153863068861
epoch: 355
loss: 0.850971545973878
epoch: 356
loss: 0.8517375390805967
epoch: 357
loss: 0.8541077696730827
epoch: 358
loss: 0.8613429296048825
epoch: 359
loss: 0.8619159532364488
epoch: 360
loss: 0.8597598911295683
epoch: 361
loss: 0.8519590969355602
epoch: 362
loss: 0.8540387818755487
epoch: 363
loss: 0.8529219042580083
epoch: 364
loss: 0.8526413165976737
epoch: 365
loss: 0.8507001327697158
epoch: 366
loss: 0.8526884319004665
epoch: 367
loss: 0.8640781761501035
epoch: 368
loss: 0.8660409045669267
epoch: 369
loss: 0.8470638845808743
epoch: 370
loss: 0.8462561147232261
epoch: 371
loss: 0.8681058880453804
epoch: 372
loss: 0.8798299206877654
epoch: 373
loss: 0.859880743804325
epoch: 374
loss: 0.8470374986810504
IOU: [97.9, 81.85, 91.31, 45.03, 54.51, 61.12, 66.09, 75.82, 91.55, 55.32, 94.1, 79.79, 58.24, 94.23, 76.7, 83.69, 72.35, 53.51, 74.3]
mIOU: 74.07, mIOU_reduced: 73.42, accuracy: 95.43
epoch: 375
loss: 0.8521472875962681
epoch: 376
loss: 0.8457381791181642
epoch: 377
loss: 0.8465124866711804
epoch: 378
loss: 0.8615989677025623
epoch: 379
loss: 0.8514474970953805
epoch: 380
loss: 0.8480464814486851
epoch: 381
loss: 0.851646288385931
epoch: 382
loss: 0.8440757135175309
epoch: 383
loss: 0.8578081674010285
epoch: 384
loss: 0.8611477317835764
epoch: 385
loss: 0.8520428792164332
epoch: 386
loss: 0.850911732150538
epoch: 387
loss: 0.8577848668047039
epoch: 388
loss: 0.8491540172029377
epoch: 389
loss: 0.8417635619479691
epoch: 390
loss: 0.8490284951228015
epoch: 391
loss: 0.8410162310394637
epoch: 392
loss: 0.8454320721549166
epoch: 393
loss: 0.8399033228342102
epoch: 394
loss: 0.8350412164415631
epoch: 395
loss: 0.8369830245920269
epoch: 396
loss: 0.837380536804302
epoch: 397
loss: 0.8334841323348711
epoch: 398
loss: 0.834944601007549
epoch: 399
loss: 0.8356906725068619
IOU: [97.73, 82.26, 91.62, 44.54, 60.75, 62.36, 67.47, 76.39, 91.51, 54.0, 94.31, 79.89, 59.24, 93.71, 70.18, 80.51, 72.31, 51.91, 73.11]
mIOU: 73.88, mIOU_reduced: 73.8, accuracy: 95.47
epoch: 400
loss: 0.8315539707070734
epoch: 401
loss: 0.8328669951611131
epoch: 402
loss: 0.8265872888487947
epoch: 403
loss: 0.8284044959795764
epoch: 404
loss: 0.8356626920622957
epoch: 405
loss: 0.8348365519246002
epoch: 406
loss: 0.8347567575318473
epoch: 407
loss: 0.8255727133660946
epoch: 408
loss: 0.831012987865592
epoch: 409
loss: 0.8306338213524729
epoch: 410
loss: 0.8331072773894852
epoch: 411
loss: 0.8313882651354746
epoch: 412
loss: 0.8257663894213756
epoch: 413
loss: 0.8288586505982433
epoch: 414
loss: 0.8342058730896592
epoch: 415
loss: 0.8337986226673075
epoch: 416
loss: 0.8248070785298823
epoch: 417
loss: 0.8223059138840421
epoch: 418
loss: 0.8272548224726777
epoch: 419
loss: 0.825329497336056
epoch: 420
loss: 0.8246049207818476
epoch: 421
loss: 0.8263679461659126
epoch: 422
loss: 0.8236606890621854
epoch: 423
loss: 0.8259212109599152
epoch: 424
loss: 0.8228975211513653
IOU: [97.88, 83.33, 92.15, 53.84, 59.0, 64.74, 68.98, 77.64, 92.2, 62.7, 94.39, 81.09, 62.08, 94.37, 72.24, 82.31, 72.49, 57.63, 74.6]
mIOU: 75.98, mIOU_reduced: 76.04, accuracy: 95.79
epoch: 425
loss: 0.8213154045398023
epoch: 426
loss: 0.8202482849118523
epoch: 427
loss: 0.8237885378120402
epoch: 428
loss: 0.8197753779650377
epoch: 429
loss: 0.8207775624293201
epoch: 430
loss: 0.8201724583247922
epoch: 431
loss: 0.8164961056889228
epoch: 432
loss: 0.8157074506070736
epoch: 433
loss: 0.8193480171604619
epoch: 434
loss: 0.8152208164374461
epoch: 435
loss: 0.8134514570557525
epoch: 436
loss: 0.8202300176144931
epoch: 437
loss: 0.8162846282486003
epoch: 438
loss: 0.8161309658677751
epoch: 439
loss: 0.8165253122861816
epoch: 440
loss: 0.8129226057677256
epoch: 441
loss: 0.811245473729311
epoch: 442
loss: 0.8103149094671573
epoch: 443
loss: 0.8143051411263705
epoch: 444
loss: 0.8092552685352027
epoch: 445
loss: 0.8126497437369149
epoch: 446
loss: 0.8076412268083372
epoch: 447
loss: 0.806272025699564
epoch: 448
loss: 0.8101271982141582
epoch: 449
loss: 0.8054061369754555
IOU: [98.17, 84.18, 92.16, 53.07, 60.53, 64.76, 69.78, 78.06, 92.31, 62.47, 94.97, 81.14, 60.44, 94.51, 71.98, 79.53, 71.3, 60.91, 75.28]
mIOU: 76.08, mIOU_reduced: 76.42, accuracy: 95.91
epoch: 450
loss: 0.8094393278389286
epoch: 451
loss: 0.8132416723230779
epoch: 452
loss: 0.8067851450565369
epoch: 453
loss: 0.8026879246665461
epoch: 454
loss: 0.8064337674819556
epoch: 455
loss: 0.8032160054319952
epoch: 456
loss: 0.807885350564098
epoch: 457
loss: 0.812007916905488
epoch: 458
loss: 0.8073891198860025
epoch: 459
loss: 0.8028914721185627
epoch: 460
loss: 0.8024290123718447
epoch: 461
loss: 0.8024111586118323
epoch: 462
loss: 0.8006474497825952
epoch: 463
loss: 0.7982952202748096
epoch: 464
loss: 0.793591085951926
epoch: 465
loss: 0.791819627394252
epoch: 466
loss: 0.7932537324987653
epoch: 467
loss: 0.7898659021706594
epoch: 468
loss: 0.7942390653964966
epoch: 469
loss: 0.794681516297744
epoch: 470
loss: 0.7865411247204578
epoch: 471
loss: 0.7909225353976145
epoch: 472
loss: 0.7867835973793605
epoch: 473
loss: 0.7858662690435138
epoch: 474
loss: 0.7813806363514492
IOU: [98.29, 85.69, 92.55, 60.13, 61.05, 65.5, 70.56, 77.97, 92.57, 64.77, 95.22, 81.76, 62.23, 94.48, 72.06, 83.24, 75.83, 63.07, 76.12]
mIOU: 77.53, mIOU_reduced: 77.62, accuracy: 96.13
epoch: 475
loss: 0.78921727157346
epoch: 476
loss: 0.7907953990116273
epoch: 477
loss: 0.7844719117221164
epoch: 478
loss: 0.7848085831760396
epoch: 479
loss: 0.7781117834813511
epoch: 480
loss: 0.784527648812677
epoch: 481
loss: 0.7784623204858476
epoch: 482
loss: 0.7811492538516412
epoch: 483
loss: 0.7739154717350263
epoch: 484
loss: 0.775062483275997
epoch: 485
loss: 0.7747862753521079
epoch: 486
loss: 0.7775570812893685
epoch: 487
loss: 0.7802733939612972
epoch: 488
loss: 0.775142653451133
epoch: 489
loss: 0.7718385594553061
epoch: 490
loss: 0.7710524505039431
IOU: [98.29, 85.67, 92.7, 61.66, 62.1, 65.73, 70.53, 78.51, 92.53, 64.92, 95.09, 81.91, 63.13, 94.71, 73.3, 83.48, 78.47, 61.8, 76.27]
mIOU: 77.94, mIOU_reduced: 77.85, accuracy: 96.18
epoch: 491
loss: 0.7699770382793766
IOU: [98.32, 85.93, 92.7, 61.79, 61.24, 65.63, 70.66, 78.58, 92.54, 64.95, 95.18, 81.92, 63.18, 94.67, 73.31, 83.47, 76.85, 62.76, 76.1]
mIOU: 77.88, mIOU_reduced: 77.88, accuracy: 96.19
epoch: 492
loss: 0.7737359219805571
IOU: [98.31, 85.79, 92.6, 59.83, 60.75, 66.05, 70.73, 78.53, 92.47, 64.36, 95.02, 81.88, 63.03, 94.7, 73.62, 83.53, 76.81, 62.9, 76.38]
mIOU: 77.75, mIOU_reduced: 77.71, accuracy: 96.15
epoch: 493
loss: 0.7617400457274239
IOU: [98.31, 85.87, 92.62, 59.8, 61.16, 65.94, 70.85, 78.72, 92.47, 64.64, 95.17, 82.03, 63.35, 94.67, 73.54, 83.5, 77.34, 63.65, 76.19]
mIOU: 77.89, mIOU_reduced: 77.84, accuracy: 96.17
epoch: 494
loss: 0.7659207789724407
IOU: [98.29, 85.68, 92.7, 61.75, 62.36, 65.65, 70.59, 78.77, 92.53, 64.24, 95.0, 81.92, 63.05, 94.69, 73.47, 83.83, 77.52, 61.14, 76.06]
mIOU: 77.85, mIOU_reduced: 77.78, accuracy: 96.17
epoch: 495
loss: 0.7684150519718057
IOU: [98.28, 85.71, 92.61, 59.86, 61.8, 65.71, 70.59, 78.67, 92.54, 65.28, 95.11, 82.06, 63.34, 94.74, 73.56, 83.77, 78.16, 63.41, 76.36]
mIOU: 77.98, mIOU_reduced: 77.88, accuracy: 96.17
epoch: 496
loss: 0.768053716244402
IOU: [98.31, 85.86, 92.69, 61.45, 61.65, 65.65, 70.58, 78.57, 92.48, 64.48, 95.15, 82.08, 63.39, 94.65, 72.97, 83.79, 78.41, 63.84, 76.39]
mIOU: 78.02, mIOU_reduced: 77.95, accuracy: 96.18
epoch: 497
loss: 0.7679780667040226
IOU: [98.32, 85.89, 92.62, 60.2, 61.44, 65.84, 70.41, 78.54, 92.52, 64.79, 95.08, 81.9, 63.35, 94.67, 73.15, 83.93, 78.75, 63.72, 76.15]
mIOU: 77.96, mIOU_reduced: 77.84, accuracy: 96.17
epoch: 498
loss: 0.7645566797642053
IOU: [98.28, 85.66, 92.64, 60.93, 61.42, 65.71, 70.52, 78.67, 92.47, 64.66, 95.14, 82.03, 63.57, 94.71, 73.55, 84.1, 78.82, 63.06, 76.24]
mIOU: 78.01, mIOU_reduced: 77.86, accuracy: 96.16
epoch: 499
loss: 0.7649547579796167
IOU: [98.28, 85.7, 92.57, 59.68, 61.08, 65.77, 70.53, 78.8, 92.53, 65.16, 95.16, 82.07, 63.53, 94.71, 73.43, 84.01, 79.02, 63.86, 76.45]
mIOU: 78.02, mIOU_reduced: 77.87, accuracy: 96.16
Best mIOU: 78.01995046515214
Best global accuracy: 96.19193077087402
Training time 1 day, 5:12:28
mIOUs: [78.01995046515214]
global_accuracies: [96.19193077087402]
