{'model_name': 'exp52_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_half2', 'batch_size': 8, 'train_min_size': 256, 'train_max_size': 1792, 'train_crop_size': [768, 768], 'val_input_size': 1024, 'val_label_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': 15, 'save_dir': 'checkpoints', 'log_dir': 'training_log', 'save_name': 'cityscapes_exp52_decoder14_500_epochs_fair', 'save_best_path': 'checkpoints/cityscapes_exp52_decoder14_500_epochs_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp52_decoder14_500_epochs_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp52_decoder14_500_epochs_fair_latest', 'log_path': 'training_log/cityscapes_exp52_decoder14_500_epochs_fair_log.txt'}
run: 1
epoch: 0
loss: 1.2608337466607518
IOU: [83.29, 9.69, 46.22, 0.0, 0.0, 0.0, 0.0, 0.0, 43.39, 11.81, 63.72, 0.0, 0.0, 19.44, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 14.61, mIOU_reduced: 15.42, accuracy: 68.04
epoch: 1
loss: 0.9608663690861344
epoch: 2
loss: 0.8174105611933531
epoch: 3
loss: 0.7505293575258589
epoch: 4
loss: 0.6887692461277275
epoch: 5
loss: 0.6593791744458386
epoch: 6
loss: 0.6345404365634661
epoch: 7
loss: 0.5947652511358904
epoch: 8
loss: 0.5376256642476568
epoch: 9
loss: 0.5548285091662343
epoch: 10
loss: 0.5165206881947916
epoch: 11
loss: 0.48838718424267524
epoch: 12
loss: 0.47512307622522676
epoch: 13
loss: 0.47609916184790374
epoch: 14
loss: 0.4442832752299116
epoch: 15
loss: 0.42635148293727815
epoch: 16
loss: 0.4316269603138664
epoch: 17
loss: 0.41825158785616934
epoch: 18
loss: 0.415348866517653
epoch: 19
loss: 0.3975034022748952
epoch: 20
loss: 0.392907597425813
epoch: 21
loss: 0.39548635852304753
epoch: 22
loss: 0.37023060682488257
epoch: 23
loss: 0.38780593450339335
epoch: 24
loss: 0.36986150919909105
IOU: [95.5, 66.59, 82.87, 22.51, 12.33, 31.45, 14.06, 36.49, 86.0, 47.85, 89.92, 51.78, 4.59, 82.76, 17.35, 39.6, 25.4, 8.97, 47.41]
mIOU: 45.44, mIOU_reduced: 46.56, accuracy: 90.63
epoch: 25
loss: 0.3659471461795411
epoch: 26
loss: 0.33577871378862634
epoch: 27
loss: 0.36831440963353107
epoch: 28
loss: 0.3505017822884485
epoch: 29
loss: 0.37164326008118065
epoch: 30
loss: 0.342111971098779
epoch: 31
loss: 0.35962440908919124
epoch: 32
loss: 0.3255043340661134
epoch: 33
loss: 0.33411129349164886
epoch: 34
loss: 0.33810047030127593
epoch: 35
loss: 0.31782831777780846
epoch: 36
loss: 0.3264112411885249
epoch: 37
loss: 0.31865332474445074
epoch: 38
loss: 0.33743034564259883
epoch: 39
loss: 0.31405040481180513
epoch: 40
loss: 0.3300447779283369
epoch: 41
loss: 0.3264044433671509
epoch: 42
loss: 0.31604490840852745
epoch: 43
loss: 0.2921475119025238
epoch: 44
loss: 0.31907038888680644
epoch: 45
loss: 0.30815648173064875
epoch: 46
loss: 0.29813755000376635
epoch: 47
loss: 0.32038656499668594
epoch: 48
loss: 0.3098573427637311
epoch: 49
loss: 0.3069100386771873
IOU: [95.19, 66.4, 86.86, 25.07, 36.71, 44.92, 25.1, 52.21, 88.5, 47.63, 92.18, 63.72, 30.21, 87.68, 21.69, 41.76, 0.98, 8.58, 58.56]
mIOU: 51.26, mIOU_reduced: 54.05, accuracy: 92.14
epoch: 50
loss: 0.3097638192202524
epoch: 51
loss: 0.29540050740672574
epoch: 52
loss: 0.30436014578830844
epoch: 53
loss: 0.2942044602009164
epoch: 54
loss: 0.29372712527966566
epoch: 55
loss: 0.2735079208393945
epoch: 56
loss: 0.3087262270665876
epoch: 57
loss: 0.2783419358521459
epoch: 58
loss: 0.28613100371592126
epoch: 59
loss: 0.2781339550436025
epoch: 60
loss: 0.3068926662527969
epoch: 61
loss: 0.2918143087239921
epoch: 62
loss: 0.28226243196472006
epoch: 63
loss: 0.27889435563608
epoch: 64
loss: 0.2704170570379962
epoch: 65
loss: 0.28559772079845647
epoch: 66
loss: 0.27466596616808614
epoch: 67
loss: 0.2740481983860227
epoch: 68
loss: 0.2791610217961982
epoch: 69
loss: 0.2755727477150786
epoch: 70
loss: 0.26322121894102535
epoch: 71
loss: 0.2828681212711848
epoch: 72
loss: 0.2672905773326072
epoch: 73
loss: 0.29152043641738173
epoch: 74
loss: 0.26715081741385704
IOU: [96.59, 74.94, 87.82, 35.84, 37.85, 48.9, 42.57, 59.21, 89.16, 50.47, 91.58, 64.19, 35.19, 89.7, 31.84, 49.03, 32.7, 17.76, 59.73]
mIOU: 57.63, mIOU_reduced: 59.02, accuracy: 93.06
epoch: 75
loss: 0.27336188958018937
epoch: 76
loss: 0.27647650298082604
epoch: 77
loss: 0.274837595634062
epoch: 78
loss: 0.2779225746817345
epoch: 79
loss: 0.2614990992125154
epoch: 80
loss: 0.26602889962916104
epoch: 81
loss: 0.2594537956896175
epoch: 82
loss: 0.25749963132358306
epoch: 83
loss: 0.2618955700304309
epoch: 84
loss: 0.2703140401293968
epoch: 85
loss: 0.2636834133587115
epoch: 86
loss: 0.26998704812436736
epoch: 87
loss: 0.25640593222129054
epoch: 88
loss: 0.2720693479570738
epoch: 89
loss: 0.2565085421193321
epoch: 90
loss: 0.2648907341966732
epoch: 91
loss: 0.25249837081869336
epoch: 92
loss: 0.2468572310962767
epoch: 93
loss: 0.2510704956245872
epoch: 94
loss: 0.2580067106896655
epoch: 95
loss: 0.28041505624823815
epoch: 96
loss: 0.24197367444192625
epoch: 97
loss: 0.2579509664095958
epoch: 98
loss: 0.2671998721971666
epoch: 99
loss: 0.2542665420034825
IOU: [96.73, 75.55, 87.66, 21.97, 40.18, 48.41, 47.0, 61.23, 89.2, 55.58, 92.08, 65.58, 41.16, 89.62, 21.21, 60.77, 42.68, 21.24, 61.83]
mIOU: 58.93, mIOU_reduced: 59.83, accuracy: 93.25
epoch: 100
loss: 0.25607824905943677
epoch: 101
loss: 0.2588770671514167
epoch: 102
loss: 0.2354951524790728
epoch: 103
loss: 0.24346192554643534
epoch: 104
loss: 0.24189851483244781
epoch: 105
loss: 0.24658734684764858
epoch: 106
loss: 0.2479019572310692
epoch: 107
loss: 0.2565951408401654
epoch: 108
loss: 0.25143533625773024
epoch: 109
loss: 0.22988108525459336
epoch: 110
loss: 0.25184226618462174
epoch: 111
loss: 0.24566599329044878
epoch: 112
loss: 0.24887786305577286
epoch: 113
loss: 0.23972330927206179
epoch: 114
loss: 0.2508110039719353
epoch: 115
loss: 0.2682867629348107
epoch: 116
loss: 0.24251218110001632
epoch: 117
loss: 0.2575505572067438
epoch: 118
loss: 0.2399792457727409
epoch: 119
loss: 0.23677168507379984
epoch: 120
loss: 0.23757530230717516
epoch: 121
loss: 0.23059740819217703
epoch: 122
loss: 0.2434578693579792
epoch: 123
loss: 0.25097286464229746
epoch: 124
loss: 0.233678030939597
IOU: [97.16, 78.21, 88.83, 45.05, 45.26, 50.37, 42.97, 63.99, 89.93, 57.52, 92.92, 70.03, 46.17, 90.39, 52.08, 62.75, 31.29, 18.63, 63.67]
mIOU: 62.49, mIOU_reduced: 64.22, accuracy: 93.99
epoch: 125
loss: 0.2568609353827659
epoch: 126
loss: 0.2447802422020956
epoch: 127
loss: 0.24185252834282153
epoch: 128
loss: 0.23249497692379348
epoch: 129
loss: 0.23197286419389704
epoch: 130
loss: 0.22730451055132153
epoch: 131
loss: 0.23781998413351346
epoch: 132
loss: 0.2261676813834761
epoch: 133
loss: 0.2211551293128263
epoch: 134
loss: 0.23062525964731154
epoch: 135
loss: 0.23968140072016061
epoch: 136
loss: 0.2350258865366085
epoch: 137
loss: 0.2323994910861604
epoch: 138
loss: 0.23220599486901752
epoch: 139
loss: 0.21731137606814865
epoch: 140
loss: 0.23400436108806383
epoch: 141
loss: 0.21765155413481746
epoch: 142
loss: 0.22010980482210687
epoch: 143
loss: 0.22288368555975732
epoch: 144
loss: 0.22904707284548856
epoch: 145
loss: 0.23070492876588172
epoch: 146
loss: 0.22472399959185052
epoch: 147
loss: 0.257752468061415
epoch: 148
loss: 0.23900395523345053
epoch: 149
loss: 0.2481820261221369
IOU: [97.15, 77.66, 88.23, 20.36, 41.81, 49.7, 49.39, 61.46, 88.34, 52.35, 92.96, 70.99, 44.18, 91.21, 43.41, 64.0, 14.3, 34.1, 65.88]
mIOU: 60.39, mIOU_reduced: 62.95, accuracy: 93.54
epoch: 150
loss: 0.22905885703319487
epoch: 151
loss: 0.22595071222261598
epoch: 152
loss: 0.24112891548406082
epoch: 153
loss: 0.21967357885082456
epoch: 154
loss: 0.23310414370340157
epoch: 155
loss: 0.24008495633733884
epoch: 156
loss: 0.22151084348679875
epoch: 157
loss: 0.20881988196520793
epoch: 158
loss: 0.22291497131081603
epoch: 159
loss: 0.21879254167051007
epoch: 160
loss: 0.22670654904328266
epoch: 161
loss: 0.22181946231991134
epoch: 162
loss: 0.21414334228578605
epoch: 163
loss: 0.216735081852607
epoch: 164
loss: 0.22912185815868352
epoch: 165
loss: 0.22478719539639122
epoch: 166
loss: 0.2351516923412801
epoch: 167
loss: 0.22261967981922015
epoch: 168
loss: 0.20681277228735206
epoch: 169
loss: 0.23649134276048192
epoch: 170
loss: 0.21180485962134488
epoch: 171
loss: 0.208325800709326
epoch: 172
loss: 0.21512830514470843
epoch: 173
loss: 0.23238784396102166
epoch: 174
loss: 0.2190885146994475
IOU: [95.88, 74.16, 85.54, 32.71, 35.28, 34.5, 30.64, 62.57, 89.79, 54.88, 92.3, 66.58, 39.74, 87.04, 26.07, 46.81, 23.95, 9.12, 58.51]
mIOU: 55.06, mIOU_reduced: 56.78, accuracy: 92.33
epoch: 175
loss: 0.24543609574557637
epoch: 176
loss: 0.21591262260296273
epoch: 177
loss: 0.2179629709521394
epoch: 178
loss: 0.22610355303133273
epoch: 179
loss: 0.23466279839649998
epoch: 180
loss: 0.20189875970792898
epoch: 181
loss: 0.2036107729347247
epoch: 182
loss: 0.2136391192634472
epoch: 183
loss: 0.20485341217559624
epoch: 184
loss: 0.2054452753733753
epoch: 185
loss: 0.21196230183634154
epoch: 186
loss: 0.21794507509935898
epoch: 187
loss: 0.23390991529926777
epoch: 188
loss: 0.21795286613734907
epoch: 189
loss: 0.22114362892998518
epoch: 190
loss: 0.20757658865975562
epoch: 191
loss: 0.20635697723559612
epoch: 192
loss: 0.21646565745140342
epoch: 193
loss: 0.21610877134729267
epoch: 194
loss: 0.21234000154903956
epoch: 195
loss: 0.20783731646614897
epoch: 196
loss: 0.20323075020730977
epoch: 197
loss: 0.20867753524905588
epoch: 198
loss: 0.20323670733810434
epoch: 199
loss: 0.20970522090190183
IOU: [97.49, 79.65, 89.77, 42.11, 46.97, 54.85, 52.55, 67.58, 90.61, 55.13, 93.02, 71.15, 48.07, 91.71, 53.33, 61.37, 35.56, 32.87, 65.86]
mIOU: 64.72, mIOU_reduced: 66.34, accuracy: 94.35
epoch: 200
loss: 0.21013088146791947
epoch: 201
loss: 0.22844923108896475
epoch: 202
loss: 0.20464689202225111
epoch: 203
loss: 0.19250549394085079
epoch: 204
loss: 0.2002169972240443
epoch: 205
loss: 0.221368282471063
epoch: 206
loss: 0.1978055122647324
epoch: 207
loss: 0.2099040541446434
epoch: 208
loss: 0.2015832151484618
epoch: 209
loss: 0.19721772921374545
epoch: 210
loss: 0.20172321599609447
epoch: 211
loss: 0.20314114530774138
epoch: 212
loss: 0.21076060608631839
epoch: 213
loss: 0.20851731973115326
epoch: 214
loss: 0.19169472366812415
epoch: 215
loss: 0.19611378122532785
epoch: 216
loss: 0.20632917707098142
epoch: 217
loss: 0.2103393865683972
epoch: 218
loss: 0.19313711472197043
epoch: 219
loss: 0.2084535433637164
epoch: 220
loss: 0.19924633259159535
epoch: 221
loss: 0.18966029578383078
epoch: 222
loss: 0.1894331528652068
epoch: 223
loss: 0.21402720554739318
epoch: 224
loss: 0.2184642791707882
IOU: [97.23, 78.51, 89.2, 38.81, 47.91, 54.4, 53.05, 66.96, 90.4, 52.73, 92.9, 73.81, 51.23, 91.79, 51.32, 71.85, 39.04, 41.51, 67.66]
mIOU: 65.81, mIOU_reduced: 67.29, accuracy: 94.29
epoch: 225
loss: 0.19911155301444936
epoch: 226
loss: 0.2182535476721522
epoch: 227
loss: 0.2051183270877905
epoch: 228
loss: 0.2148878577986175
epoch: 229
loss: 0.19467261760944948
epoch: 230
loss: 0.21296617467046747
epoch: 231
loss: 0.21379268488713674
epoch: 232
loss: 0.18840897685755295
epoch: 233
loss: 0.19883992036960196
epoch: 234
loss: 0.18714299291934608
epoch: 235
loss: 0.1897330034694903
epoch: 236
loss: 0.19459848216360792
epoch: 237
loss: 0.1870189167940713
epoch: 238
loss: 0.2085649630612119
epoch: 239
loss: 0.19760879512745735
epoch: 240
loss: 0.19796751945648552
epoch: 241
loss: 0.1956872039366604
epoch: 242
loss: 0.20972220344604509
epoch: 243
loss: 0.1884675099441626
epoch: 244
loss: 0.19339923247333485
epoch: 245
loss: 0.19643600548133053
epoch: 246
loss: 0.20304908201781244
epoch: 247
loss: 0.20976938867585035
epoch: 248
loss: 0.18775470958485435
epoch: 249
loss: 0.2025999337675758
IOU: [97.43, 80.01, 89.54, 44.1, 44.65, 53.65, 55.79, 69.39, 90.64, 57.31, 92.43, 71.64, 45.42, 92.8, 63.86, 75.96, 64.3, 39.95, 66.35]
mIOU: 68.17, mIOU_reduced: 68.38, accuracy: 94.46
epoch: 250
loss: 0.19703349886798474
epoch: 251
loss: 0.19061445362484358
epoch: 252
loss: 0.18929805343523823
epoch: 253
loss: 0.20673983399517773
epoch: 254
loss: 0.20889324044201252
epoch: 255
loss: 0.19255908312542097
epoch: 256
loss: 0.19502838030256672
epoch: 257
loss: 0.19749344943588312
epoch: 258
loss: 0.19456072302279126
epoch: 259
loss: 0.19579412856432948
epoch: 260
loss: 0.20429509388147338
epoch: 261
loss: 0.19262707496508755
epoch: 262
loss: 0.19088789856819452
epoch: 263
loss: 0.19377112254058576
epoch: 264
loss: 0.19021593729119415
epoch: 265
loss: 0.17861741704921516
epoch: 266
loss: 0.19661363467292967
epoch: 267
loss: 0.19200910784484884
epoch: 268
loss: 0.18223657035281396
epoch: 269
loss: 0.17357021706766196
epoch: 270
loss: 0.18711463094882244
epoch: 271
loss: 0.19005457852085966
epoch: 272
loss: 0.1908908353219778
epoch: 273
loss: 0.17845285316361892
epoch: 274
loss: 0.1879029864811833
IOU: [97.17, 79.28, 89.66, 33.66, 44.22, 52.9, 55.93, 67.54, 90.74, 59.84, 92.64, 73.4, 50.68, 91.04, 38.55, 64.83, 20.66, 34.59, 66.87]
mIOU: 63.38, mIOU_reduced: 65.75, accuracy: 94.27
epoch: 275
loss: 0.19887790226470428
epoch: 276
loss: 0.1939552907312334
epoch: 277
loss: 0.19384250016707294
epoch: 278
loss: 0.20128944514173702
epoch: 279
loss: 0.17539143562316895
epoch: 280
loss: 0.17887439301634092
epoch: 281
loss: 0.18743224353642476
epoch: 282
loss: 0.18028706685712717
epoch: 283
loss: 0.1694832523918216
epoch: 284
loss: 0.19082099910212977
epoch: 285
loss: 0.19237219421770374
epoch: 286
loss: 0.17752817070307436
epoch: 287
loss: 0.16969899760905624
epoch: 288
loss: 0.18550398453788938
epoch: 289
loss: 0.19175456584785183
epoch: 290
loss: 0.17964193996072136
epoch: 291
loss: 0.20249681247051834
epoch: 292
loss: 0.19675945480557464
epoch: 293
loss: 0.20717602652921832
epoch: 294
loss: 0.1976860578892366
epoch: 295
loss: 0.17925928872470265
epoch: 296
loss: 0.1710452541226968
epoch: 297
loss: 0.20506699096080105
epoch: 298
loss: 0.18710926456271476
epoch: 299
loss: 0.17704966873171515
IOU: [97.47, 79.85, 89.93, 44.34, 51.77, 54.97, 59.7, 70.47, 91.21, 60.96, 94.37, 73.11, 47.7, 92.17, 54.5, 72.97, 40.97, 46.35, 67.57]
mIOU: 67.91, mIOU_reduced: 69.41, accuracy: 94.68
epoch: 300
loss: 0.16954444075691089
epoch: 301
loss: 0.18649019023800154
epoch: 302
loss: 0.1736785595347939
epoch: 303
loss: 0.171383674053169
epoch: 304
loss: 0.1659842353625439
epoch: 305
loss: 0.17847496506097824
epoch: 306
loss: 0.17139477630188524
epoch: 307
loss: 0.17005053505984277
epoch: 308
loss: 0.16718250653653774
epoch: 309
loss: 0.16851178845867634
epoch: 310
loss: 0.18310955821503846
epoch: 311
loss: 0.17854363748407107
epoch: 312
loss: 0.17932126612836782
epoch: 313
loss: 0.17535610529129717
epoch: 314
loss: 0.1626081076874887
epoch: 315
loss: 0.17257727636400902
epoch: 316
loss: 0.17542593534583995
epoch: 317
loss: 0.16561239692721405
epoch: 318
loss: 0.18059308069815855
epoch: 319
loss: 0.16167424703544042
epoch: 320
loss: 0.16894603094884328
epoch: 321
loss: 0.1804573993798536
epoch: 322
loss: 0.18106017319982584
epoch: 323
loss: 0.17506388954396518
epoch: 324
loss: 0.18818856829983205
IOU: [97.31, 79.42, 90.16, 46.06, 52.51, 56.29, 58.45, 67.33, 89.97, 54.17, 94.06, 73.38, 50.05, 92.02, 53.81, 73.0, 34.57, 42.89, 61.92]
mIOU: 66.7, mIOU_reduced: 68.49, accuracy: 94.51
epoch: 325
loss: 0.16956980182033665
epoch: 326
loss: 0.1691885867690783
epoch: 327
loss: 0.16873280959068282
epoch: 328
loss: 0.1710723875908839
epoch: 329
loss: 0.17208225257955792
epoch: 330
loss: 0.16667692907495962
epoch: 331
loss: 0.16898380418752404
epoch: 332
loss: 0.16029818846048371
epoch: 333
loss: 0.15797306822156007
epoch: 334
loss: 0.16653493014628676
epoch: 335
loss: 0.16362121018438006
epoch: 336
loss: 0.1784260251491539
epoch: 337
loss: 0.1708432558090539
epoch: 338
loss: 0.16672761292470434
epoch: 339
loss: 0.17124700629606723
epoch: 340
loss: 0.1642249417754839
epoch: 341
loss: 0.17363627586322974
epoch: 342
loss: 0.17204116762809032
epoch: 343
loss: 0.1796194214745352
epoch: 344
loss: 0.17553788556082228
epoch: 345
loss: 0.17920388793447267
epoch: 346
loss: 0.1817846394412601
epoch: 347
loss: 0.18013965852578695
epoch: 348
loss: 0.1679347217725615
epoch: 349
loss: 0.1660214395857243
IOU: [97.78, 81.94, 90.71, 48.56, 50.75, 57.28, 60.08, 70.3, 91.46, 60.77, 94.11, 75.66, 54.24, 93.13, 69.11, 76.28, 60.34, 48.17, 70.05]
mIOU: 71.09, mIOU_reduced: 71.69, accuracy: 95.12
epoch: 350
loss: 0.17393103565247553
epoch: 351
loss: 0.16097576090830035
epoch: 352
loss: 0.1733179460919771
epoch: 353
loss: 0.1713965539180365
epoch: 354
loss: 0.1682323686718298
epoch: 355
loss: 0.15733459318744525
epoch: 356
loss: 0.15962175070998483
epoch: 357
loss: 0.17460109118743727
epoch: 358
loss: 0.16738364879654424
epoch: 359
loss: 0.17259884920884977
epoch: 360
loss: 0.16892031817182376
epoch: 361
loss: 0.16503949407136664
epoch: 362
loss: 0.1611850114484039
epoch: 363
loss: 0.16528146842499628
epoch: 364
loss: 0.16352400380485463
epoch: 365
loss: 0.15384621122937317
epoch: 366
loss: 0.15782124274021211
epoch: 367
loss: 0.1816314311241204
epoch: 368
loss: 0.17216670390650268
epoch: 369
loss: 0.1894342731433416
epoch: 370
loss: 0.17135520411951521
epoch: 371
loss: 0.15830503623038933
epoch: 372
loss: 0.16689604514773002
epoch: 373
loss: 0.1607857939167164
epoch: 374
loss: 0.16974860644645767
IOU: [97.69, 81.74, 90.25, 50.82, 52.15, 55.81, 59.06, 71.54, 91.3, 62.74, 93.81, 75.21, 51.57, 92.9, 70.8, 71.85, 53.61, 48.79, 69.26]
mIOU: 70.57, mIOU_reduced: 71.52, accuracy: 94.97
epoch: 375
loss: 0.15569265038176688
epoch: 376
loss: 0.1590709686279297
epoch: 377
loss: 0.16520419032024244
epoch: 378
loss: 0.16228848821270175
epoch: 379
loss: 0.1510429955275875
epoch: 380
loss: 0.15129334483586873
epoch: 381
loss: 0.16210450505149976
epoch: 382
loss: 0.15253399750293103
epoch: 383
loss: 0.14995256745108376
epoch: 384
loss: 0.15498466135035308
epoch: 385
loss: 0.14587649534333427
epoch: 386
loss: 0.1555045104693531
epoch: 387
loss: 0.1559420497912281
epoch: 388
loss: 0.14564297424574105
epoch: 389
loss: 0.14960974410698422
epoch: 390
loss: 0.14447529059696712
epoch: 391
loss: 0.14590796308135087
epoch: 392
loss: 0.14548694507050708
epoch: 393
loss: 0.15076902195449787
epoch: 394
loss: 0.14554066439924856
epoch: 395
loss: 0.15002990843391803
epoch: 396
loss: 0.1502334032699747
epoch: 397
loss: 0.14477570045669125
epoch: 398
loss: 0.14653176069259644
epoch: 399
loss: 0.15155567453717286
IOU: [97.78, 82.79, 91.24, 49.3, 56.65, 58.78, 59.18, 72.55, 90.74, 58.3, 93.94, 74.56, 49.79, 92.48, 60.52, 74.42, 40.3, 34.7, 68.48]
mIOU: 68.76, mIOU_reduced: 70.34, accuracy: 95.06
epoch: 400
loss: 0.145466882886109
epoch: 401
loss: 0.14629919443410042
epoch: 402
loss: 0.14469094229033694
epoch: 403
loss: 0.1411110004686281
epoch: 404
loss: 0.14196022144064427
epoch: 405
loss: 0.14887431621390854
epoch: 406
loss: 0.14537661783698433
epoch: 407
loss: 0.15499095512287958
epoch: 408
loss: 0.15543269894193767
epoch: 409
loss: 0.14941767372211034
epoch: 410
loss: 0.14284495862748103
epoch: 411
loss: 0.14701129582452002
epoch: 412
loss: 0.14115041990405466
epoch: 413
loss: 0.1459409304746399
epoch: 414
loss: 0.1421641040884581
epoch: 415
loss: 0.14324645288389004
epoch: 416
loss: 0.14212921279861598
epoch: 417
loss: 0.13453984300723937
epoch: 418
loss: 0.14172017321271715
epoch: 419
loss: 0.13595464339635444
epoch: 420
loss: 0.1380010961160827
epoch: 421
loss: 0.14989064933074453
epoch: 422
loss: 0.14055880122991263
epoch: 423
loss: 0.14188898079639498
epoch: 424
loss: 0.1404453200511534
IOU: [97.96, 83.09, 91.66, 56.34, 56.04, 59.83, 62.53, 74.04, 91.88, 62.36, 94.44, 77.72, 56.81, 93.75, 70.45, 80.55, 60.87, 51.84, 71.45]
mIOU: 73.35, mIOU_reduced: 74.04, accuracy: 95.53
epoch: 425
loss: 0.13783896959454545
epoch: 426
loss: 0.14510471632859778
epoch: 427
loss: 0.14124148461535935
epoch: 428
loss: 0.1368376261220788
epoch: 429
loss: 0.13540989608375853
epoch: 430
loss: 0.1311418720473337
epoch: 431
loss: 0.13811079099412876
epoch: 432
loss: 0.1426604016008724
epoch: 433
loss: 0.13883156311319203
epoch: 434
loss: 0.13842345472937323
epoch: 435
loss: 0.13514414847379103
epoch: 436
loss: 0.14274625542430544
epoch: 437
loss: 0.1320833431863078
epoch: 438
loss: 0.13111247742834758
epoch: 439
loss: 0.12741173024608118
epoch: 440
loss: 0.13531164750657634
epoch: 441
loss: 0.1310470419712465
epoch: 442
loss: 0.12925293688182882
epoch: 443
loss: 0.12979283503123693
epoch: 444
loss: 0.12947300918942514
epoch: 445
loss: 0.1282183407251083
epoch: 446
loss: 0.13960975356339766
epoch: 447
loss: 0.1302947871728406
epoch: 448
loss: 0.12688555361607648
epoch: 449
loss: 0.13273085671856075
IOU: [97.84, 82.38, 91.38, 46.91, 60.04, 60.06, 62.83, 75.0, 91.76, 60.41, 94.67, 77.61, 53.29, 94.0, 70.33, 75.98, 52.04, 48.68, 71.78]
mIOU: 71.95, mIOU_reduced: 73.05, accuracy: 95.42
epoch: 450
loss: 0.13043942356687993
epoch: 451
loss: 0.12821798323781664
epoch: 452
loss: 0.13150853352405312
epoch: 453
loss: 0.1295662998871983
epoch: 454
loss: 0.1270124479686475
epoch: 455
loss: 0.12494044769003064
epoch: 456
loss: 0.1271095360425926
epoch: 457
loss: 0.1253994580790039
epoch: 458
loss: 0.13048362454796095
epoch: 459
loss: 0.12561582607239727
epoch: 460
loss: 0.12373582520735553
epoch: 461
loss: 0.12784308580696743
epoch: 462
loss: 0.12618509772411896
epoch: 463
loss: 0.12654890943408975
epoch: 464
loss: 0.12478236775754918
epoch: 465
loss: 0.1258363300015663
epoch: 466
loss: 0.12468324655872792
epoch: 467
loss: 0.12221902321692747
epoch: 468
loss: 0.1257613792493337
epoch: 469
loss: 0.12220029287903778
epoch: 470
loss: 0.11721574049191977
epoch: 471
loss: 0.12309758116132166
epoch: 472
loss: 0.12023420615819587
epoch: 473
loss: 0.12038586901204605
epoch: 474
loss: 0.11863875509593685
IOU: [98.09, 84.39, 92.03, 54.67, 62.16, 61.03, 65.07, 75.47, 92.11, 64.86, 94.91, 78.64, 56.1, 94.03, 66.43, 78.76, 54.75, 52.23, 73.56]
mIOU: 73.65, mIOU_reduced: 74.7, accuracy: 95.77
epoch: 475
loss: 0.1219825170873953
epoch: 476
loss: 0.12157916886144571
epoch: 477
loss: 0.12073608829245734
epoch: 478
loss: 0.12042753368294785
epoch: 479
loss: 0.12036944030108798
epoch: 480
loss: 0.11701911521166804
epoch: 481
loss: 0.11754829488754916
epoch: 482
loss: 0.11724434627315426
epoch: 483
loss: 0.11860623087161634
epoch: 484
loss: 0.11883249444098806
epoch: 485
loss: 0.11750515128644008
IOU: [98.02, 83.97, 92.12, 57.11, 61.0, 61.33, 65.69, 75.78, 92.16, 64.59, 94.91, 78.9, 56.83, 94.39, 73.05, 80.48, 61.68, 54.75, 73.41]
mIOU: 74.75, mIOU_reduced: 75.47, accuracy: 95.79
epoch: 486
loss: 0.11498137702035775
IOU: [97.92, 83.53, 92.21, 56.77, 61.55, 60.88, 65.24, 75.69, 92.13, 65.31, 94.92, 78.55, 55.48, 94.34, 73.05, 77.49, 49.77, 53.3, 73.62]
mIOU: 73.78, mIOU_reduced: 75.11, accuracy: 95.74
epoch: 487
loss: 0.11525385141011198
IOU: [98.01, 83.88, 92.18, 57.52, 61.36, 60.71, 64.27, 75.72, 92.15, 65.38, 94.86, 78.47, 55.8, 94.13, 69.42, 78.75, 51.38, 52.81, 73.58]
mIOU: 73.7, mIOU_reduced: 74.94, accuracy: 95.76
epoch: 488
loss: 0.11322279048536345
IOU: [98.05, 84.17, 92.18, 57.34, 61.98, 61.09, 65.49, 75.78, 92.06, 64.46, 94.94, 79.03, 57.47, 94.15, 70.23, 79.47, 54.47, 54.6, 73.04]
mIOU: 74.21, mIOU_reduced: 75.31, accuracy: 95.77
epoch: 489
loss: 0.11655706396160742
IOU: [98.02, 84.12, 92.22, 57.74, 61.2, 60.77, 64.82, 75.17, 92.2, 65.06, 94.86, 78.67, 56.87, 94.12, 69.9, 76.33, 45.9, 53.72, 73.11]
mIOU: 73.41, mIOU_reduced: 74.94, accuracy: 95.76
epoch: 490
loss: 0.11466777447179322
IOU: [98.0, 83.96, 92.16, 58.68, 62.7, 61.09, 65.51, 75.79, 92.07, 64.69, 94.86, 79.06, 57.5, 94.3, 73.3, 79.97, 55.97, 54.85, 73.17]
mIOU: 74.61, mIOU_reduced: 75.65, accuracy: 95.79
epoch: 491
loss: 0.11556932004796205
IOU: [98.0, 83.92, 92.28, 57.68, 63.63, 61.45, 64.8, 75.8, 92.1, 64.26, 94.9, 78.93, 56.97, 94.31, 74.48, 80.75, 58.48, 53.98, 73.44]
mIOU: 74.75, mIOU_reduced: 75.65, accuracy: 95.81
epoch: 492
loss: 0.11461573096137805
IOU: [98.06, 84.32, 92.3, 58.03, 62.94, 61.22, 65.29, 75.92, 92.16, 64.87, 94.91, 78.85, 56.8, 94.37, 74.49, 80.79, 58.67, 53.58, 73.11]
mIOU: 74.77, mIOU_reduced: 75.67, accuracy: 95.84
epoch: 493
loss: 0.1127997667521158
IOU: [98.06, 84.31, 92.22, 58.08, 61.71, 61.64, 65.28, 75.51, 92.17, 65.09, 94.96, 78.91, 56.23, 94.41, 75.63, 81.83, 62.58, 54.34, 73.37]
mIOU: 75.07, mIOU_reduced: 75.76, accuracy: 95.84
epoch: 494
loss: 0.11248102635546836
IOU: [98.03, 84.21, 92.24, 57.6, 62.46, 61.31, 65.42, 75.44, 92.14, 65.6, 94.86, 78.87, 56.97, 94.4, 74.72, 81.48, 61.1, 54.46, 73.34]
mIOU: 74.98, mIOU_reduced: 75.75, accuracy: 95.82
epoch: 495
loss: 0.11085220799854181
IOU: [98.04, 84.14, 92.2, 57.41, 62.23, 61.5, 65.39, 75.64, 92.15, 65.59, 94.86, 78.77, 56.46, 94.34, 73.94, 80.53, 57.45, 54.55, 73.43]
mIOU: 74.66, mIOU_reduced: 75.62, accuracy: 95.81
epoch: 496
loss: 0.11292822383886399
IOU: [98.09, 84.41, 92.24, 57.82, 62.21, 61.06, 65.08, 75.5, 92.19, 65.3, 94.91, 78.76, 56.75, 94.42, 75.36, 81.46, 60.91, 54.47, 73.45]
mIOU: 74.97, mIOU_reduced: 75.75, accuracy: 95.85
epoch: 497
loss: 0.11254274363145031
IOU: [98.1, 84.49, 92.25, 57.59, 62.58, 61.33, 65.23, 75.74, 92.17, 65.32, 94.88, 78.96, 57.27, 94.41, 74.6, 80.28, 57.68, 54.6, 73.47]
mIOU: 74.79, mIOU_reduced: 75.74, accuracy: 95.85
epoch: 498
loss: 0.11279650582778808
IOU: [98.1, 84.45, 92.19, 57.67, 62.21, 61.36, 65.24, 75.56, 92.16, 65.27, 94.92, 78.92, 57.02, 94.33, 72.5, 80.45, 60.0, 53.6, 73.42]
mIOU: 74.7, mIOU_reduced: 75.52, accuracy: 95.84
epoch: 499
loss: 0.11362346288851008
IOU: [98.1, 84.5, 92.23, 57.99, 62.48, 61.47, 65.46, 75.8, 92.17, 65.54, 94.93, 78.98, 56.86, 94.38, 73.48, 81.46, 63.43, 54.11, 73.55]
mIOU: 75.1, mIOU_reduced: 75.75, accuracy: 95.86
Best mIOU: 75.10161871659129
Best global accuracy: 95.85948586463928
Training time 23:07:55
