{'model_name': 'exp50_decoder14', 'model_type': 'experimental2', 'num_classes': 19, 'ignore_value': 255, 'pretrained_backbone': False, 'epochs': 500, 'max_epochs': 500, 'resume': False, 'lr': 0.05, 'momentum': 0.9, 'weight_decay': 0.0001, 'class_weight': None, 'bn_weight_decay': False, 'bn_precise_stats': False, 'bn_precise_num_samples': 600, 'lr_scheduler': 'poly', 'poly_power': 0.9, 'warmup_iters': 3000, 'warmup_factor': 0.1, 'mixed_precision': True, 'runs': 1, 'run': 1, 'RNG_seed': 0, 'loss_type': 'cross_entropy', 'eval_while_train': True, 'exclude_classes': [16], 'warmup_iter': 10, 'num_iter': 100, 'benchmark_loader': True, 'benchmark_model': True, 'dataset_name': 'cityscapes', 'dataset_dir': 'cityscapes_dataset_half', 'batch_size': 8, 'train_min_size': 256, 'train_max_size': 1792, 'train_crop_size': [768, 768], 'val_size': 1024, 'aug_mode': 'custom3', 'resize_mode': 'uniform', 'edge_aware_crop': False, 'boost_rare_classes': False, 'num_workers': 4, 'class_uniform_pct': 0.5, 'train_split': 'train', 'val_split': 'val', 'max_eval': 600, 'validate_train_loader': False, 'eval_print_every': 10000, 'train_print_every': 10000, 'pretrained_path': '', 'save_every_k_epochs': 25, 'save_last_k_epochs': 20, 'save_dir': 'checkpoints', 'log_dir': 'training_log', 'save_name': 'cityscapes_exp50_decoder14_500_epochs_fair', 'save_best_path': 'checkpoints/cityscapes_exp50_decoder14_500_epochs_fair_run1', 'save_latest_path': 'checkpoints/cityscapes_exp50_decoder14_500_epochs_fair_latest', 'resume_path': 'checkpoints/cityscapes_exp50_decoder14_500_epochs_fair_latest', 'log_path': 'training_log/cityscapes_exp50_decoder14_500_epochs_fair_log.txt'}
run: 1
epoch: 0
loss: 1.2437746110309487
IOU: [82.98, 2.81, 46.56, 0.0, 0.0, 0.0, 0.0, 0.0, 49.2, 6.62, 53.9, 0.04, 0.0, 37.64, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 14.72, mIOU_reduced: 15.54, accuracy: 70.57
epoch: 1
loss: 0.9172570199336646
epoch: 2
loss: 0.8002469237602624
epoch: 3
loss: 0.7504920985178164
epoch: 4
loss: 0.6843713487415622
epoch: 5
loss: 0.644385043421203
epoch: 6
loss: 0.6327603569409918
epoch: 7
loss: 0.5816308405360764
epoch: 8
loss: 0.5563142696480867
epoch: 9
loss: 0.537476025180354
epoch: 10
loss: 0.4950768517034073
epoch: 11
loss: 0.4875608090602484
epoch: 12
loss: 0.4669443561703047
epoch: 13
loss: 0.4393108462227001
epoch: 14
loss: 0.4377547988914094
epoch: 15
loss: 0.43149715730282817
epoch: 16
loss: 0.4265889596505307
epoch: 17
loss: 0.404352763471899
epoch: 18
loss: 0.3812971949737991
epoch: 19
loss: 0.38002125782304697
epoch: 20
loss: 0.37183167474128487
epoch: 21
loss: 0.3828367274405179
epoch: 22
loss: 0.3748653960838472
epoch: 23
loss: 0.3848841728145543
epoch: 24
loss: 0.35411333483505764
IOU: [95.86, 68.08, 82.38, 22.19, 10.82, 37.4, 26.22, 44.27, 86.93, 46.8, 86.79, 53.81, 11.85, 83.42, 14.2, 40.26, 21.05, 8.9, 48.56]
mIOU: 46.83, mIOU_reduced: 48.26, accuracy: 90.9
epoch: 25
loss: 0.3623912144864023
epoch: 26
loss: 0.35540503749468255
epoch: 27
loss: 0.3605460921387788
epoch: 28
loss: 0.36465897067698505
epoch: 29
loss: 0.3687438648746341
epoch: 30
loss: 0.3214425842636679
epoch: 31
loss: 0.3422280333112835
epoch: 32
loss: 0.33695559492811683
epoch: 33
loss: 0.32029996009046496
epoch: 34
loss: 0.3246030129914014
epoch: 35
loss: 0.33249486601256295
epoch: 36
loss: 0.32277506537675216
epoch: 37
loss: 0.3011157280511933
epoch: 38
loss: 0.3449518611488959
epoch: 39
loss: 0.34790589063958016
epoch: 40
loss: 0.31299038363916853
epoch: 41
loss: 0.30503880290811597
epoch: 42
loss: 0.3081644886748167
epoch: 43
loss: 0.3183624033898999
epoch: 44
loss: 0.3593346371322951
epoch: 45
loss: 0.3081270638662528
epoch: 46
loss: 0.32636600704687946
epoch: 47
loss: 0.2952369937517572
epoch: 48
loss: 0.2954797059136902
epoch: 49
loss: 0.2896828896032189
IOU: [95.47, 68.82, 85.09, 26.39, 31.29, 39.53, 35.83, 51.17, 87.03, 36.11, 89.66, 51.06, 11.59, 86.74, 33.28, 48.48, 24.2, 8.07, 41.49]
mIOU: 50.07, mIOU_reduced: 51.51, accuracy: 91.15
epoch: 50
loss: 0.2934095718548947
epoch: 51
loss: 0.2880632330304529
epoch: 52
loss: 0.2825615362256685
epoch: 53
loss: 0.2877966535460917
epoch: 54
loss: 0.3077458345665122
epoch: 55
loss: 0.28296375495564907
epoch: 56
loss: 0.2934252747467586
epoch: 57
loss: 0.2926789797300277
epoch: 58
loss: 0.27882538265937745
epoch: 59
loss: 0.2945228788369107
epoch: 60
loss: 0.28809955430962647
epoch: 61
loss: 0.28500538839484163
epoch: 62
loss: 0.27313158217305444
epoch: 63
loss: 0.25400099194435416
epoch: 64
loss: 0.2767633917036082
epoch: 65
loss: 0.2778122658437153
epoch: 66
loss: 0.2842958489196962
epoch: 67
loss: 0.26586354606235124
epoch: 68
loss: 0.2813960198925512
epoch: 69
loss: 0.2785565778813915
epoch: 70
loss: 0.2604012641342824
epoch: 71
loss: 0.2765461724964435
epoch: 72
loss: 0.2617989915882481
epoch: 73
loss: 0.25497275309742623
epoch: 74
loss: 0.28702051531915074
IOU: [96.05, 70.93, 85.96, 33.06, 34.68, 43.1, 41.67, 54.64, 87.59, 50.53, 90.03, 61.49, 38.05, 88.03, 27.91, 44.75, 20.46, 20.43, 52.81]
mIOU: 54.85, mIOU_reduced: 56.76, accuracy: 92.15
epoch: 75
loss: 0.27008598765754954
epoch: 76
loss: 0.28303166810232355
epoch: 77
loss: 0.2624411750835871
epoch: 78
loss: 0.26638494082538267
epoch: 79
loss: 0.2557852846191257
epoch: 80
loss: 0.2982819851517999
epoch: 81
loss: 0.25795575962314066
epoch: 82
loss: 0.2696185782150117
epoch: 83
loss: 0.25224308786045185
epoch: 84
loss: 0.2487210074284006
epoch: 85
loss: 0.25386256923412054
epoch: 86
loss: 0.2672156330067514
epoch: 87
loss: 0.25776450508688337
epoch: 88
loss: 0.25952578060871184
epoch: 89
loss: 0.2505603636893622
epoch: 90
loss: 0.25819762822270714
epoch: 91
loss: 0.24847564149417004
epoch: 92
loss: 0.24653703717369274
epoch: 93
loss: 0.24889177047820746
epoch: 94
loss: 0.28895392519926444
epoch: 95
loss: 0.25523981915892296
epoch: 96
loss: 0.25231241647686276
epoch: 97
loss: 0.25805997238004946
epoch: 98
loss: 0.26782145945611346
epoch: 99
loss: 0.2438202898778684
IOU: [96.67, 74.79, 86.93, 41.36, 41.58, 48.78, 48.98, 60.42, 89.64, 54.2, 90.23, 63.73, 35.46, 89.18, 28.38, 48.85, 20.25, 20.71, 59.94]
mIOU: 57.9, mIOU_reduced: 59.99, accuracy: 93.0
epoch: 100
loss: 0.2393780610350907
epoch: 101
loss: 0.24623218006040207
epoch: 102
loss: 0.24774319210624438
epoch: 103
loss: 0.2536352181812181
epoch: 104
loss: 0.24770112452159995
epoch: 105
loss: 0.2555359661217648
epoch: 106
loss: 0.24967495984626267
epoch: 107
loss: 0.2515710592671546
epoch: 108
loss: 0.2272606139595939
epoch: 109
loss: 0.24457949669052648
epoch: 110
loss: 0.24600360369826904
epoch: 111
loss: 0.25469989227156115
epoch: 112
loss: 0.2551040807663591
epoch: 113
loss: 0.24620377728238582
epoch: 114
loss: 0.2299037426107656
epoch: 115
loss: 0.24590604023310053
epoch: 116
loss: 0.2346041537118408
epoch: 117
loss: 0.24002510158601154
epoch: 118
loss: 0.23993450298784877
epoch: 119
loss: 0.22886212746489723
epoch: 120
loss: 0.25871890488098254
epoch: 121
loss: 0.24378344456783202
epoch: 122
loss: 0.23403933973646548
epoch: 123
loss: 0.2237641583033649
epoch: 124
loss: 0.22097311010257895
IOU: [97.1, 77.08, 88.54, 46.56, 43.36, 50.62, 50.64, 63.73, 89.94, 57.76, 91.31, 70.1, 46.15, 91.21, 51.01, 62.11, 20.3, 33.48, 61.69]
mIOU: 62.77, mIOU_reduced: 65.13, accuracy: 93.88
epoch: 125
loss: 0.23611399539397412
epoch: 126
loss: 0.23734804975857954
epoch: 127
loss: 0.2493644055491188
epoch: 128
loss: 0.2273888863281741
epoch: 129
loss: 0.2231552761921664
epoch: 130
loss: 0.23680870718952782
epoch: 131
loss: 0.22276144518926136
epoch: 132
loss: 0.2313405212888499
epoch: 133
loss: 0.22188211929284016
epoch: 134
loss: 0.2082935513833141
epoch: 135
loss: 0.22488064606074054
epoch: 136
loss: 0.24441171421435964
epoch: 137
loss: 0.22440515153330934
epoch: 138
loss: 0.22761039122577625
epoch: 139
loss: 0.22092072155597717
epoch: 140
loss: 0.21907056203347974
epoch: 141
loss: 0.24199995257944432
epoch: 142
loss: 0.22053326308887924
epoch: 143
loss: 0.23741716540084695
epoch: 144
loss: 0.23892890248256873
epoch: 145
loss: 0.22323965379651986
epoch: 146
loss: 0.21782495772260219
epoch: 147
loss: 0.22091937872438097
epoch: 148
loss: 0.23343876996290974
epoch: 149
loss: 0.2093672973086249
IOU: [97.35, 79.61, 89.24, 29.59, 44.01, 51.81, 52.52, 65.75, 89.53, 60.41, 93.14, 70.83, 44.15, 90.81, 40.74, 66.4, 45.03, 37.87, 64.89]
mIOU: 63.88, mIOU_reduced: 64.92, accuracy: 94.14
epoch: 150
loss: 0.20108828245790178
epoch: 151
loss: 0.2232587533699213
epoch: 152
loss: 0.22696394599833578
epoch: 153
loss: 0.21949696420337955
epoch: 154
loss: 0.21568720617062961
epoch: 155
loss: 0.20953983986233124
epoch: 156
loss: 0.24089176382497957
epoch: 157
loss: 0.2375000053740576
epoch: 158
loss: 0.22850278475776195
epoch: 159
loss: 0.21900441999625003
epoch: 160
loss: 0.20908770453174802
epoch: 161
loss: 0.22644343024315539
epoch: 162
loss: 0.2130053287768621
epoch: 163
loss: 0.20585233216096127
epoch: 164
loss: 0.2088290692540513
epoch: 165
loss: 0.24413882577515678
epoch: 166
loss: 0.22034625867708033
epoch: 167
loss: 0.22974132826787763
epoch: 168
loss: 0.2272065834134737
epoch: 169
loss: 0.20953414444573162
epoch: 170
loss: 0.2282386234587415
epoch: 171
loss: 0.2107841856074783
epoch: 172
loss: 0.23271356800174456
epoch: 173
loss: 0.2151569595756235
epoch: 174
loss: 0.21440081772296576
IOU: [97.32, 78.63, 88.64, 44.19, 48.59, 45.58, 44.71, 60.64, 89.4, 52.31, 93.32, 71.2, 48.35, 91.72, 50.89, 53.08, 44.79, 31.24, 63.25]
mIOU: 63.04, mIOU_reduced: 64.06, accuracy: 93.93
epoch: 175
loss: 0.21566143509432312
epoch: 176
loss: 0.20793145007360977
epoch: 177
loss: 0.2003345823271898
epoch: 178
loss: 0.20349510375540855
epoch: 179
loss: 0.21452897515981345
epoch: 180
loss: 0.2031849878174918
epoch: 181
loss: 0.20893002538427188
epoch: 182
loss: 0.2068016878919139
epoch: 183
loss: 0.20809313990276135
epoch: 184
loss: 0.22786766509563133
epoch: 185
loss: 0.22608419220563214
epoch: 186
loss: 0.21239517100978733
epoch: 187
loss: 0.2326315963525335
epoch: 188
loss: 0.20403390899903048
epoch: 189
loss: 0.23034070169106327
epoch: 190
loss: 0.21258235222727784
epoch: 191
loss: 0.2049467077433581
epoch: 192
loss: 0.20179735320918965
epoch: 193
loss: 0.22703279464472978
epoch: 194
loss: 0.2012978491355788
epoch: 195
loss: 0.20738060700122238
epoch: 196
loss: 0.21647907622821247
epoch: 197
loss: 0.20383826908316574
epoch: 198
loss: 0.2136220683587208
epoch: 199
loss: 0.1920783491227826
IOU: [97.56, 80.31, 89.92, 52.64, 49.42, 54.93, 54.89, 67.32, 90.76, 57.06, 93.52, 73.29, 45.97, 92.84, 62.71, 71.48, 44.46, 40.29, 67.0]
mIOU: 67.7, mIOU_reduced: 68.99, accuracy: 94.67
epoch: 200
loss: 0.19727903377576017
epoch: 201
loss: 0.19722116991596403
epoch: 202
loss: 0.20548540922107722
epoch: 203
loss: 0.20147708219016658
epoch: 204
loss: 0.19849430617055483
epoch: 205
loss: 0.20192390676296626
epoch: 206
loss: 0.2022232463498
epoch: 207
loss: 0.2638158335719468
epoch: 208
loss: 0.21685534581100202
epoch: 209
loss: 0.2075536387628622
epoch: 210
loss: 0.2065836573948436
epoch: 211
loss: 0.20405889493275203
epoch: 212
loss: 0.20102446329481197
epoch: 213
loss: 0.2033458085996764
epoch: 214
loss: 0.2162458228896249
epoch: 215
loss: 0.21473937345081262
epoch: 216
loss: 0.20315462800691714
epoch: 217
loss: 0.20836500606607555
epoch: 218
loss: 0.1934875059280434
epoch: 219
loss: 0.19091643226355556
epoch: 220
loss: 0.19810588810482435
epoch: 221
loss: 0.19408112105654898
epoch: 222
loss: 0.2034311858671052
epoch: 223
loss: 0.20693701857103491
epoch: 224
loss: 0.19049351005702006
IOU: [97.33, 79.02, 89.05, 35.76, 48.09, 53.81, 47.85, 65.14, 90.55, 55.27, 93.51, 72.11, 50.77, 92.26, 64.44, 70.19, 44.76, 39.57, 65.99]
mIOU: 66.08, mIOU_reduced: 67.26, accuracy: 94.33
epoch: 225
loss: 0.20184489092576213
epoch: 226
loss: 0.20322273555148965
epoch: 227
loss: 0.2104286538221123
epoch: 228
loss: 0.19718728547870631
epoch: 229
loss: 0.19437760188974781
epoch: 230
loss: 0.19431196968510467
epoch: 231
loss: 0.20598638413167708
epoch: 232
loss: 0.19740319715918236
epoch: 233
loss: 0.19395550876614862
epoch: 234
loss: 0.2205862373193962
epoch: 235
loss: 0.19831809987919027
epoch: 236
loss: 0.1812829178057591
epoch: 237
loss: 0.18866481330757834
epoch: 238
loss: 0.19104664939433094
epoch: 239
loss: 0.1997987417318429
epoch: 240
loss: 0.18172419521043887
epoch: 241
loss: 0.17920893517064276
epoch: 242
loss: 0.19864227269296697
epoch: 243
loss: 0.19789932728456358
epoch: 244
loss: 0.1936280859930496
epoch: 245
loss: 0.1910419442221482
epoch: 246
loss: 0.1987254836890254
epoch: 247
loss: 0.1983686562256029
epoch: 248
loss: 0.18370539126691793
epoch: 249
loss: 0.19155696972280822
IOU: [97.48, 80.06, 90.04, 43.3, 50.82, 54.29, 54.08, 69.4, 90.94, 58.89, 94.1, 74.24, 52.79, 92.66, 65.19, 75.75, 54.49, 46.64, 69.06]
mIOU: 69.17, mIOU_reduced: 69.98, accuracy: 94.72
epoch: 250
loss: 0.173506012442459
epoch: 251
loss: 0.19193130641211717
epoch: 252
loss: 0.18090809172777475
epoch: 253
loss: 0.18492060385624354
epoch: 254
loss: 0.18653116445496398
epoch: 255
loss: 0.1990074868793436
epoch: 256
loss: 0.19365181906445006
epoch: 257
loss: 0.18703925011132283
epoch: 258
loss: 0.19744367594265874
epoch: 259
loss: 0.18577737172417885
epoch: 260
loss: 0.19479914214411836
epoch: 261
loss: 0.18699492990086986
epoch: 262
loss: 0.19858354956634602
epoch: 263
loss: 0.17895769227466815
epoch: 264
loss: 0.17534537780076023
epoch: 265
loss: 0.18002992243859967
epoch: 266
loss: 0.19178257177701857
epoch: 267
loss: 0.20763184148265987
epoch: 268
loss: 0.18571291034514048
epoch: 269
loss: 0.18151663802062085
epoch: 270
loss: 0.1876895576514645
epoch: 271
loss: 0.17785431559114764
epoch: 272
loss: 0.19299193586139987
epoch: 273
loss: 0.2015475513277992
epoch: 274
loss: 0.19832118182892428
IOU: [97.43, 80.6, 88.67, 37.85, 50.84, 55.38, 59.74, 68.01, 90.78, 60.45, 93.34, 74.02, 49.36, 91.92, 45.92, 65.29, 28.81, 43.99, 66.17]
mIOU: 65.71, mIOU_reduced: 67.77, accuracy: 94.32
epoch: 275
loss: 0.18085304201854208
epoch: 276
loss: 0.1857636869757002
epoch: 277
loss: 0.1810856394851304
epoch: 278
loss: 0.1843436520416139
epoch: 279
loss: 0.18144526629836732
epoch: 280
loss: 0.17011298337635003
epoch: 281
loss: 0.18664354497612004
epoch: 282
loss: 0.18058061714201282
epoch: 283
loss: 0.18382737134907123
epoch: 284
loss: 0.1982525290263631
epoch: 285
loss: 0.186236616575493
epoch: 286
loss: 0.18465634403283385
epoch: 287
loss: 0.16623138184496014
epoch: 288
loss: 0.19020485697248876
epoch: 289
loss: 0.17429449453427784
epoch: 290
loss: 0.1705893896058242
epoch: 291
loss: 0.1757384894109479
epoch: 292
loss: 0.2092692622879766
epoch: 293
loss: 0.18960286022196562
epoch: 294
loss: 0.1829467552169314
epoch: 295
loss: 0.17674593207730116
epoch: 296
loss: 0.1691691329215736
epoch: 297
loss: 0.17107183225151665
epoch: 298
loss: 0.16512342817539152
epoch: 299
loss: 0.16593433233766222
IOU: [97.64, 81.55, 90.22, 43.26, 53.14, 56.86, 60.28, 71.05, 91.12, 61.23, 93.78, 75.82, 54.86, 92.96, 61.4, 70.08, 30.16, 49.8, 69.68]
mIOU: 68.68, mIOU_reduced: 70.82, accuracy: 94.91
epoch: 300
loss: 0.18057666303253558
epoch: 301
loss: 0.1714254480929709
epoch: 302
loss: 0.17794530941148332
epoch: 303
loss: 0.1768925138360085
epoch: 304
loss: 0.1684664847314197
epoch: 305
loss: 0.1844122922324106
epoch: 306
loss: 0.17905205743251784
epoch: 307
loss: 0.18674888630520622
epoch: 308
loss: 0.16644270619693793
epoch: 309
loss: 0.17175244921542243
epoch: 310
loss: 0.16518815446173085
epoch: 311
loss: 0.160612024808669
epoch: 312
loss: 0.17738424789793086
epoch: 313
loss: 0.1707107864742009
epoch: 314
loss: 0.17251945152436948
epoch: 315
loss: 0.16755606236081882
epoch: 316
loss: 0.1723259010846724
epoch: 317
loss: 0.1688551792317645
epoch: 318
loss: 0.18872728202783193
epoch: 319
loss: 0.1694352933660029
epoch: 320
loss: 0.16933019352810724
epoch: 321
loss: 0.17430989930250573
epoch: 322
loss: 0.17464952038304826
epoch: 323
loss: 0.18541507621740075
epoch: 324
loss: 0.16713893917612632
IOU: [97.27, 79.36, 89.18, 44.9, 52.78, 56.3, 59.41, 54.27, 90.69, 58.03, 94.1, 74.47, 47.24, 92.18, 58.16, 67.52, 30.21, 46.01, 69.94]
mIOU: 66.42, mIOU_reduced: 68.43, accuracy: 94.41
epoch: 325
loss: 0.17015169621156553
epoch: 326
loss: 0.17107132223818822
epoch: 327
loss: 0.17582079013081572
epoch: 328
loss: 0.16184887304058615
epoch: 329
loss: 0.16853570006285717
epoch: 330
loss: 0.1690094849330717
epoch: 331
loss: 0.16356604100478628
epoch: 332
loss: 0.1561241732493565
epoch: 333
loss: 0.16204787983566604
epoch: 334
loss: 0.17423290699077745
epoch: 335
loss: 0.17506423271248603
epoch: 336
loss: 0.16099578692424651
epoch: 337
loss: 0.15821547344367137
epoch: 338
loss: 0.16918160240203545
epoch: 339
loss: 0.1604628581804728
epoch: 340
loss: 0.16598302029535134
epoch: 341
loss: 0.1726327600946645
epoch: 342
loss: 0.16247786324461194
epoch: 343
loss: 0.1739023691319391
epoch: 344
loss: 0.15987002903801412
epoch: 345
loss: 0.15705738572097533
epoch: 346
loss: 0.16466020955390365
epoch: 347
loss: 0.1470878300761598
epoch: 348
loss: 0.15778754018950011
epoch: 349
loss: 0.16870162302673344
IOU: [97.4, 80.55, 90.56, 48.23, 50.33, 57.7, 61.89, 71.52, 91.34, 62.63, 93.79, 76.65, 54.78, 93.06, 65.19, 70.81, 25.61, 51.44, 70.46]
mIOU: 69.16, mIOU_reduced: 71.57, accuracy: 94.92
epoch: 350
loss: 0.15751790478223096
epoch: 351
loss: 0.16003651310491435
epoch: 352
loss: 0.1781561175446626
epoch: 353
loss: 0.16613982925116214
epoch: 354
loss: 0.18305306124558668
epoch: 355
loss: 0.15983151801111242
epoch: 356
loss: 0.1716737301563317
epoch: 357
loss: 0.16870561436903123
epoch: 358
loss: 0.16291920615817015
epoch: 359
loss: 0.18239367327519826
epoch: 360
loss: 0.1664678966701834
epoch: 361
loss: 0.15947996035740383
epoch: 362
loss: 0.15632520186290585
epoch: 363
loss: 0.16705890963823006
epoch: 364
loss: 0.1622802413939787
epoch: 365
loss: 0.1583837551087382
epoch: 366
loss: 0.15888442356149463
epoch: 367
loss: 0.16204678088506919
epoch: 368
loss: 0.1628086826390012
epoch: 369
loss: 0.15216723397735638
epoch: 370
loss: 0.15325173358068955
epoch: 371
loss: 0.14726996735099834
epoch: 372
loss: 0.14684527102265396
epoch: 373
loss: 0.15216254300344986
epoch: 374
loss: 0.1545555791202581
IOU: [97.75, 82.01, 89.96, 42.89, 50.38, 57.58, 61.1, 71.91, 91.17, 59.2, 92.51, 75.47, 55.52, 92.94, 69.92, 70.56, 40.31, 38.28, 69.88]
mIOU: 68.91, mIOU_reduced: 70.5, accuracy: 94.85
epoch: 375
loss: 0.15692905782448313
epoch: 376
loss: 0.14871630056527746
epoch: 377
loss: 0.16724034177887473
epoch: 378
loss: 0.15817212381693874
epoch: 379
loss: 0.16226011187320127
epoch: 380
loss: 0.15508880889961982
epoch: 381
loss: 0.1566724268332967
epoch: 382
loss: 0.15264807541094058
epoch: 383
loss: 0.14622506854749434
epoch: 384
loss: 0.15905804383867192
epoch: 385
loss: 0.14600273215706458
epoch: 386
loss: 0.14722087073599233
epoch: 387
loss: 0.1526454423837906
epoch: 388
loss: 0.14759816960343775
epoch: 389
loss: 0.15246442426247095
epoch: 390
loss: 0.1476566093870893
epoch: 391
loss: 0.1412653322369262
epoch: 392
loss: 0.1495863001422098
epoch: 393
loss: 0.144773077330178
epoch: 394
loss: 0.15579094775924784
epoch: 395
loss: 0.15615457105588398
epoch: 396
loss: 0.16132510571948924
epoch: 397
loss: 0.14534542123182123
epoch: 398
loss: 0.1489369675235928
epoch: 399
loss: 0.146178858721192
IOU: [97.86, 82.5, 90.51, 36.89, 52.0, 55.06, 60.26, 72.17, 91.03, 61.47, 93.62, 76.84, 55.7, 92.8, 63.65, 74.18, 45.58, 47.28, 70.22]
mIOU: 69.45, mIOU_reduced: 70.78, accuracy: 95.03
epoch: 400
loss: 0.1427176977103611
epoch: 401
loss: 0.14400136952772938
epoch: 402
loss: 0.1422437790108498
epoch: 403
loss: 0.14792770231669805
epoch: 404
loss: 0.14037686556256362
epoch: 405
loss: 0.13745490586098957
epoch: 406
loss: 0.13828710970692237
epoch: 407
loss: 0.13765753209189263
epoch: 408
loss: 0.14738561421873755
epoch: 409
loss: 0.1365261931584852
epoch: 410
loss: 0.13973032010372757
epoch: 411
loss: 0.1457569771358427
epoch: 412
loss: 0.140061017457205
epoch: 413
loss: 0.1541985307702157
epoch: 414
loss: 0.15210258362267537
epoch: 415
loss: 0.1528417705445277
epoch: 416
loss: 0.14369678973267985
epoch: 417
loss: 0.1476332509935384
epoch: 418
loss: 0.1411315599742604
epoch: 419
loss: 0.14297565211343638
epoch: 420
loss: 0.15456371571657793
epoch: 421
loss: 0.13625476784461912
epoch: 422
loss: 0.13900572688110432
epoch: 423
loss: 0.1416008045691043
epoch: 424
loss: 0.13868899581165647
IOU: [97.89, 82.72, 91.48, 56.25, 57.51, 59.87, 63.53, 74.25, 91.76, 62.05, 94.51, 77.67, 57.83, 93.61, 66.3, 75.47, 43.14, 53.48, 72.33]
mIOU: 72.19, mIOU_reduced: 73.81, accuracy: 95.45
epoch: 425
loss: 0.13433291403591793
epoch: 426
loss: 0.13693673509070173
epoch: 427
loss: 0.1346287792423022
epoch: 428
loss: 0.13182130200923936
epoch: 429
loss: 0.1368288683160296
epoch: 430
loss: 0.13546516461112107
epoch: 431
loss: 0.13484399406254452
epoch: 432
loss: 0.135214505912962
epoch: 433
loss: 0.131658810228511
epoch: 434
loss: 0.1336212801844926
epoch: 435
loss: 0.12926002913167214
epoch: 436
loss: 0.1295538784238206
epoch: 437
loss: 0.13207905974510223
epoch: 438
loss: 0.13565712319712112
epoch: 439
loss: 0.14235557888878003
epoch: 440
loss: 0.13769593053670584
epoch: 441
loss: 0.13106641195453403
epoch: 442
loss: 0.13138481504672941
epoch: 443
loss: 0.131714334666247
epoch: 444
loss: 0.13002041207169587
epoch: 445
loss: 0.13138215157461938
epoch: 446
loss: 0.12827155014093353
epoch: 447
loss: 0.13175494649580546
epoch: 448
loss: 0.1259687365788334
epoch: 449
loss: 0.12936011850432244
IOU: [98.03, 83.86, 91.73, 58.71, 54.36, 60.08, 63.99, 74.03, 91.86, 64.3, 94.47, 78.4, 54.72, 94.23, 72.89, 77.63, 53.44, 54.09, 72.24]
mIOU: 73.32, mIOU_reduced: 74.42, accuracy: 95.62
epoch: 450
loss: 0.12350937127665368
epoch: 451
loss: 0.12401169432061059
epoch: 452
loss: 0.13219487130882926
epoch: 453
loss: 0.1256404198364749
epoch: 454
loss: 0.12569909040738309
epoch: 455
loss: 0.1286845312847924
epoch: 456
loss: 0.1251342638704494
epoch: 457
loss: 0.12671609556257243
epoch: 458
loss: 0.12242632054013383
epoch: 459
loss: 0.12152611130893712
epoch: 460
loss: 0.12140020440932554
epoch: 461
loss: 0.12468899471178209
epoch: 462
loss: 0.12406150438393544
epoch: 463
loss: 0.12381837697764934
epoch: 464
loss: 0.12243612701038145
epoch: 465
loss: 0.1238110842047676
epoch: 466
loss: 0.11861423923159545
epoch: 467
loss: 0.12094261651893831
epoch: 468
loss: 0.12103645534648728
epoch: 469
loss: 0.11835089605050589
epoch: 470
loss: 0.11530497027535966
epoch: 471
loss: 0.11404247666304966
epoch: 472
loss: 0.11762856017306166
epoch: 473
loss: 0.11771434119769505
epoch: 474
loss: 0.11674307049766705
IOU: [97.99, 83.97, 91.89, 58.37, 57.85, 60.63, 65.4, 73.91, 92.11, 65.08, 94.58, 78.81, 59.26, 94.1, 72.84, 75.89, 44.18, 55.62, 73.32]
mIOU: 73.46, mIOU_reduced: 75.09, accuracy: 95.69
epoch: 475
loss: 0.11738848300635654
epoch: 476
loss: 0.11494721542551832
epoch: 477
loss: 0.11471796059865515
epoch: 478
loss: 0.11943390451351588
epoch: 479
loss: 0.11907139934619482
epoch: 480
loss: 0.11427219670938675
IOU: [98.08, 84.2, 91.97, 57.85, 58.55, 60.71, 65.38, 74.5, 92.03, 64.2, 94.58, 78.97, 59.18, 94.11, 71.49, 73.84, 28.14, 59.14, 73.38]
mIOU: 72.65, mIOU_reduced: 75.12, accuracy: 95.7
epoch: 481
loss: 0.11714039375438202
IOU: [98.08, 84.26, 92.05, 58.55, 59.08, 60.81, 65.73, 74.76, 91.94, 63.75, 94.6, 79.01, 59.17, 94.17, 73.24, 74.31, 32.42, 58.79, 73.31]
mIOU: 73.05, mIOU_reduced: 75.31, accuracy: 95.71
epoch: 482
loss: 0.11659843884308062
IOU: [98.16, 84.81, 92.08, 57.91, 59.66, 60.56, 65.83, 74.89, 92.07, 64.35, 94.77, 78.38, 56.47, 94.23, 73.47, 74.52, 33.27, 55.31, 73.27]
mIOU: 72.84, mIOU_reduced: 75.04, accuracy: 95.77
epoch: 483
loss: 0.11620857906992223
IOU: [98.12, 84.52, 92.05, 58.81, 59.65, 61.09, 65.65, 74.94, 92.06, 64.66, 94.58, 78.4, 57.08, 94.13, 72.99, 76.53, 41.88, 55.41, 73.42]
mIOU: 73.47, mIOU_reduced: 75.23, accuracy: 95.76
epoch: 484
loss: 0.117244296980836
IOU: [98.2, 84.77, 91.97, 56.64, 58.5, 60.74, 65.9, 74.83, 92.05, 64.88, 94.6, 79.19, 59.61, 94.15, 72.37, 76.4, 42.98, 57.69, 73.43]
mIOU: 73.63, mIOU_reduced: 75.33, accuracy: 95.76
epoch: 485
loss: 0.11297727319991814
IOU: [98.19, 84.78, 92.05, 57.68, 58.95, 60.62, 65.77, 74.82, 91.99, 64.23, 94.58, 79.07, 58.75, 94.16, 72.59, 75.2, 34.0, 58.01, 73.2]
mIOU: 73.09, mIOU_reduced: 75.26, accuracy: 95.76
epoch: 486
loss: 0.11516857179348682
IOU: [98.17, 84.63, 92.0, 58.51, 58.91, 60.9, 65.52, 75.1, 92.02, 63.83, 94.64, 78.79, 57.32, 94.13, 73.74, 75.82, 37.02, 58.23, 73.29]
mIOU: 73.29, mIOU_reduced: 75.31, accuracy: 95.75
epoch: 487
loss: 0.11229533751337033
IOU: [98.05, 84.13, 92.0, 58.82, 59.0, 60.88, 65.95, 74.96, 92.1, 64.91, 94.54, 79.27, 59.51, 94.11, 72.95, 75.2, 33.9, 58.43, 73.55]
mIOU: 73.28, mIOU_reduced: 75.46, accuracy: 95.73
epoch: 488
loss: 0.11225697948444244
IOU: [98.16, 84.63, 92.02, 58.08, 58.93, 60.87, 65.94, 74.63, 92.07, 65.5, 94.63, 78.77, 56.86, 94.19, 72.61, 74.24, 30.78, 57.61, 73.47]
mIOU: 72.84, mIOU_reduced: 75.18, accuracy: 95.76
epoch: 489
loss: 0.1146261205349489
IOU: [98.19, 84.9, 92.0, 58.71, 57.62, 61.19, 65.59, 74.92, 92.05, 64.4, 94.71, 79.26, 59.61, 94.22, 74.79, 78.1, 46.14, 58.74, 73.57]
mIOU: 74.14, mIOU_reduced: 75.7, accuracy: 95.79
epoch: 490
loss: 0.11391844755073763
IOU: [98.12, 84.41, 91.99, 58.33, 58.43, 60.87, 65.77, 74.97, 91.91, 64.15, 94.64, 79.27, 59.53, 94.2, 73.11, 75.9, 37.42, 59.17, 73.3]
mIOU: 73.45, mIOU_reduced: 75.45, accuracy: 95.73
epoch: 491
loss: 0.11438898833573989
IOU: [98.15, 84.58, 92.13, 58.6, 59.02, 60.93, 65.69, 74.84, 92.12, 64.22, 94.64, 79.44, 59.7, 94.17, 73.81, 73.53, 24.49, 59.24, 73.57]
mIOU: 72.78, mIOU_reduced: 75.47, accuracy: 95.78
epoch: 492
loss: 0.11386053310330665
IOU: [98.09, 84.21, 92.1, 58.52, 59.03, 61.26, 65.78, 74.83, 92.07, 63.66, 94.62, 79.14, 58.79, 94.15, 71.05, 74.62, 30.4, 59.19, 73.39]
mIOU: 72.89, mIOU_reduced: 75.25, accuracy: 95.74
epoch: 493
loss: 0.11011751823508836
IOU: [98.1, 84.35, 92.09, 57.99, 58.76, 60.97, 65.91, 74.99, 92.07, 64.11, 94.69, 79.16, 58.32, 94.13, 71.97, 75.17, 32.45, 58.79, 73.23]
mIOU: 73.01, mIOU_reduced: 75.27, accuracy: 95.74
epoch: 494
loss: 0.11358327661563122
IOU: [98.08, 84.36, 92.09, 58.06, 59.34, 61.31, 65.85, 75.11, 91.99, 63.13, 94.64, 79.21, 58.88, 94.19, 72.65, 75.3, 35.53, 58.66, 73.53]
mIOU: 73.26, mIOU_reduced: 75.35, accuracy: 95.74
epoch: 495
loss: 0.11167430924879251
IOU: [98.01, 83.87, 92.13, 57.75, 59.07, 61.29, 65.91, 74.96, 92.03, 62.82, 94.67, 79.24, 58.92, 94.12, 71.4, 75.97, 37.33, 58.43, 73.5]
mIOU: 73.23, mIOU_reduced: 75.23, accuracy: 95.71
epoch: 496
loss: 0.11324043689431205
IOU: [98.1, 84.35, 92.1, 57.18, 59.07, 61.03, 65.79, 74.68, 92.03, 62.89, 94.64, 79.4, 59.49, 94.18, 71.88, 75.53, 36.13, 59.01, 73.52]
mIOU: 73.21, mIOU_reduced: 75.27, accuracy: 95.74
epoch: 497
loss: 0.11167542128309085
IOU: [98.09, 84.24, 92.05, 57.95, 58.82, 60.93, 65.8, 74.79, 92.04, 63.34, 94.66, 79.49, 59.74, 94.19, 72.54, 74.17, 29.59, 59.33, 73.46]
mIOU: 72.91, mIOU_reduced: 75.31, accuracy: 95.73
epoch: 498
loss: 0.11004017808567482
IOU: [98.11, 84.33, 92.07, 56.93, 59.21, 60.91, 65.92, 74.9, 92.06, 63.1, 94.65, 79.29, 59.16, 94.24, 72.83, 74.57, 31.14, 58.94, 73.56]
mIOU: 72.94, mIOU_reduced: 75.26, accuracy: 95.74
epoch: 499
loss: 0.11026006531361943
IOU: [98.11, 84.4, 92.09, 57.8, 59.3, 61.06, 65.86, 74.93, 92.04, 63.28, 94.65, 79.34, 59.22, 94.23, 72.44, 74.82, 33.43, 58.85, 73.49]
mIOU: 73.12, mIOU_reduced: 75.33, accuracy: 95.75
Best mIOU: 74.1422532734118
Best global accuracy: 95.79189419746399
Training time 23:10:59
mIOUs: [74.1422532734118, 75.01086164775647]
global_accuracies: [95.79189419746399, 95.82975506782532]
