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run: 2
epoch: 0
loss: 1.465380258958616
IOU: [83.72, 8.04, 52.51, 0.0, 0.0, 0.0, 0.0, 0.0, 52.29, 17.26, 74.71, 0.0, 0.0, 32.05, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 16.87, mIOU_reduced: 20.04, accuracy: 72.57
epoch: 1
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epoch: 14
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epoch: 15
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epoch: 16
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loss: 1.1056623111837958
epoch: 18
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epoch: 19
loss: 1.085301848434695
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loss: 1.095040697614459
epoch: 22
loss: 1.091328572873478
epoch: 23
loss: 1.0822500994584632
epoch: 24
loss: 1.0783244792341864
IOU: [95.94, 68.57, 86.56, 33.22, 30.7, 44.71, 35.68, 52.54, 88.46, 47.38, 91.47, 59.64, 6.83, 86.6, 34.45, 22.2, 29.91, 2.96, 55.45]
mIOU: 51.23, mIOU_reduced: 55.42, accuracy: 92.06
epoch: 25
loss: 1.0680121466155965
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loss: 1.040099650701744
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loss: 1.0455590531511127
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loss: 1.0352482130585334
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loss: 1.0227876369843907
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loss: 1.0390065153332733
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loss: 1.0223954050046093
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loss: 1.0320870492336243
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epoch: 47
loss: 1.015289605467146
epoch: 48
loss: 1.026194809100056
epoch: 49
loss: 1.0107183843610101
IOU: [96.63, 73.29, 88.52, 27.03, 41.97, 51.17, 48.99, 63.26, 89.92, 42.08, 92.73, 69.39, 41.9, 90.32, 45.49, 59.88, 31.54, 24.78, 60.24]
mIOU: 59.95, mIOU_reduced: 62.64, accuracy: 93.37
epoch: 50
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loss: 0.9966106943364413
epoch: 74
loss: 0.9944593731283821
IOU: [96.39, 72.92, 88.45, 38.31, 46.18, 53.76, 47.41, 63.15, 90.23, 49.58, 91.11, 71.99, 50.35, 91.36, 47.74, 68.59, 51.0, 28.14, 64.96]
mIOU: 63.77, mIOU_reduced: 65.27, accuracy: 93.64
epoch: 75
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loss: 0.9685814046474158
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loss: 0.9810914496848525
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loss: 0.9619508395297829
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loss: 0.9663607887823306
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loss: 0.9759079785038519
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loss: 0.9687177561364084
epoch: 98
loss: 0.9672523700002069
epoch: 99
loss: 0.9595320308304861
IOU: [97.36, 79.04, 90.0, 46.12, 47.79, 56.85, 56.54, 67.7, 90.67, 55.52, 93.25, 74.35, 46.61, 91.42, 46.84, 70.62, 71.04, 30.06, 65.12]
mIOU: 67.2, mIOU_reduced: 68.02, accuracy: 94.46
epoch: 100
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loss: 0.956881633987324
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loss: 0.981994950707068
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loss: 0.9602579826293287
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loss: 0.9580172060956209
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loss: 0.9730158812916182
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loss: 0.9512523369326424
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loss: 0.9699308330800656
epoch: 123
loss: 0.971613875939197
epoch: 124
loss: 0.9425711170682367
IOU: [97.54, 80.3, 90.36, 50.33, 48.59, 56.38, 59.31, 70.1, 91.51, 57.35, 93.7, 75.83, 50.18, 92.57, 64.9, 77.38, 67.09, 43.17, 67.55]
mIOU: 70.22, mIOU_reduced: 70.3, accuracy: 94.88
epoch: 125
loss: 0.9487783450964647
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loss: 0.9697276957915478
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loss: 0.9411275558715883
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loss: 0.9459218990127995
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loss: 0.9427316122941893
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loss: 0.9343098286348533
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loss: 0.9320859778923487
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loss: 0.9500595924025276
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loss: 0.9398226702631002
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loss: 0.9380184285081622
epoch: 149
loss: 0.9378131628036499
IOU: [97.77, 81.64, 90.38, 33.2, 48.92, 55.58, 60.85, 70.27, 91.26, 59.16, 93.12, 73.48, 29.76, 92.61, 45.55, 71.93, 42.73, 44.41, 68.73]
mIOU: 65.86, mIOU_reduced: 68.2, accuracy: 94.82
epoch: 150
loss: 0.9520085527890455
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loss: 0.9362128706312565
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loss: 0.9357441347243008
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loss: 0.9308199410168629
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loss: 0.9299860564524915
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loss: 0.9347217439641207
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loss: 0.9305630700607506
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loss: 0.9477144687002239
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loss: 0.9514618030776875
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loss: 0.9536116524848013
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loss: 0.9304960151566971
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loss: 0.9382038164652904
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loss: 0.9451989356398262
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loss: 0.936513582811844
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loss: 0.936101679532033
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loss: 0.9325542609003997
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loss: 0.9353442251521622
epoch: 174
loss: 0.9489117438259793
IOU: [97.24, 79.49, 90.37, 50.1, 49.73, 57.27, 60.63, 67.35, 91.27, 60.06, 93.73, 76.49, 47.25, 89.87, 48.54, 36.21, 69.69, 42.67, 69.59]
mIOU: 67.24, mIOU_reduced: 70.19, accuracy: 94.57
epoch: 175
loss: 0.9273704828599071
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loss: 0.9344443224189738
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loss: 0.9284866119652103
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loss: 0.943942225686302
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loss: 0.9297860634294803
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loss: 0.9294588819668299
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loss: 0.9172928453777036
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loss: 0.9208329666978265
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loss: 0.9144591017553427
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loss: 0.9214028624511472
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loss: 0.9214115891495163
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loss: 0.9484873041309758
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loss: 0.9385039064119447
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loss: 0.9310566329891791
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loss: 0.9212870271700733
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loss: 0.9188591649911474
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loss: 0.9181352445700098
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loss: 0.9137940381093809
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loss: 0.9175906754889578
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loss: 0.9269835298273441
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loss: 0.9503543396201738
epoch: 199
loss: 0.9386967822226553
IOU: [96.62, 76.6, 89.9, 43.85, 53.9, 55.99, 60.46, 71.58, 90.77, 54.41, 93.9, 65.44, 42.87, 89.92, 66.03, 64.75, 61.37, 35.96, 68.52]
mIOU: 67.52, mIOU_reduced: 68.17, accuracy: 94.16
epoch: 200
loss: 0.9427106854407935
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loss: 0.9276929226204391
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loss: 0.9115469150466097
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loss: 0.909233567046348
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loss: 0.9147556882020277
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loss: 0.9131111407858342
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loss: 0.9103146542436029
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loss: 0.9222157661805577
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loss: 0.9076779968333695
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loss: 0.9218115464375025
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loss: 0.93208314996524
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loss: 0.9341748829157848
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loss: 0.9397552681740403
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loss: 0.9052840784553569
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loss: 0.9295801603890493
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loss: 0.9166528156825474
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loss: 0.9278095176599096
epoch: 222
loss: 0.9085990813864531
epoch: 223
loss: 0.9073544069120505
epoch: 224
loss: 0.9052553266849158
IOU: [97.99, 83.31, 91.27, 44.73, 55.92, 61.1, 64.38, 74.22, 91.73, 58.9, 94.2, 78.33, 55.02, 93.07, 52.77, 83.03, 72.05, 54.96, 73.17]
mIOU: 72.64, mIOU_reduced: 73.27, accuracy: 95.39
epoch: 225
loss: 0.9108232028400801
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loss: 0.9085055048253659
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loss: 0.9092040678882856
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loss: 0.9061684451013241
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loss: 0.9114714102603676
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loss: 0.904747114991242
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loss: 0.9040838801314567
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loss: 0.9055987053483001
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loss: 0.9062764295991862
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loss: 0.9016415057477926
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loss: 0.9035356205428707
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loss: 0.90486871505362
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loss: 0.9045680387000832
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loss: 0.8957588915233663
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loss: 0.8976282795484497
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loss: 0.893308848383613
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loss: 0.9048878142454554
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loss: 0.9070533324444712
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loss: 0.910986449679917
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loss: 0.8952586634782447
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loss: 0.9008870973098632
epoch: 249
loss: 0.9066103454227397
IOU: [97.91, 82.25, 91.36, 52.73, 55.08, 60.99, 63.82, 75.88, 91.52, 57.49, 94.45, 78.68, 57.02, 93.85, 58.7, 79.24, 74.42, 50.94, 72.32]
mIOU: 73.09, mIOU_reduced: 73.52, accuracy: 95.4
epoch: 250
loss: 0.8984841709188374
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loss: 0.895106946201016
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loss: 0.9036732103946716
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loss: 0.9062675562187668
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loss: 0.920897949256023
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loss: 0.9058740516557205
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loss: 0.9012832331528882
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loss: 0.8904243016821355
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loss: 0.9007335123668784
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loss: 0.9067724443510214
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loss: 0.8830529790361615
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loss: 0.8885549669959796
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loss: 0.8857374512603019
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loss: 0.8908451451766844
epoch: 274
loss: 0.8912332441928894
IOU: [97.79, 82.95, 90.89, 45.33, 49.98, 61.77, 66.46, 74.65, 91.5, 61.38, 93.91, 78.77, 54.82, 93.37, 64.4, 80.76, 72.83, 51.28, 72.53]
mIOU: 72.91, mIOU_reduced: 72.96, accuracy: 95.32
epoch: 275
loss: 0.8979802181457253
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loss: 0.876232958064889
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loss: 0.8813195964396803
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loss: 0.8770954110873035
epoch: 299
loss: 0.8797572468811611
IOU: [97.98, 83.87, 91.3, 42.17, 54.13, 59.53, 66.07, 74.53, 92.12, 63.39, 94.81, 79.06, 57.74, 93.27, 67.84, 76.1, 67.87, 57.33, 72.25]
mIOU: 73.23, mIOU_reduced: 73.72, accuracy: 95.49
epoch: 300
loss: 0.8748294735211889
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epoch: 324
loss: 0.8880618071620355
IOU: [97.88, 82.61, 91.29, 52.35, 54.09, 61.7, 67.29, 75.78, 92.12, 59.53, 94.89, 78.94, 57.45, 93.96, 57.29, 79.66, 76.62, 56.18, 73.6]
mIOU: 73.85, mIOU_reduced: 74.35, accuracy: 95.53
epoch: 325
loss: 0.8864234301921814
epoch: 326
loss: 0.8731044371815705
epoch: 327
loss: 0.8728105726267771
epoch: 328
loss: 0.8895279471122352
epoch: 329
loss: 0.8831892951800817
epoch: 330
loss: 0.8705653199609721
epoch: 331
loss: 0.8840537905050416
epoch: 332
loss: 0.871382678454777
epoch: 333
loss: 0.8661589937390022
epoch: 334
loss: 0.8704821028799381
epoch: 335
loss: 0.8740371703458925
epoch: 336
loss: 0.8772182106329103
epoch: 337
loss: 0.8750156239679239
epoch: 338
loss: 0.862298646866472
epoch: 339
loss: 0.8647444659487578
epoch: 340
loss: 0.8668489716445018
epoch: 341
loss: 0.8703785218961155
epoch: 342
loss: 0.8630864114131568
epoch: 343
loss: 0.9043310683049924
epoch: 344
loss: 0.8722815397936058
epoch: 345
loss: 0.8743673048893397
epoch: 346
loss: 0.8640077848318773
epoch: 347
loss: 0.8657944522135341
epoch: 348
loss: 0.8662490727445186
epoch: 349
loss: 0.8641754531796088
IOU: [97.84, 82.67, 90.86, 44.29, 52.73, 59.51, 65.39, 74.45, 91.89, 61.53, 94.43, 78.78, 56.05, 94.09, 72.13, 79.75, 73.2, 52.23, 72.51]
mIOU: 73.39, mIOU_reduced: 73.08, accuracy: 95.39
epoch: 350
loss: 0.8713431747133198
epoch: 351
loss: 0.8632444885541808
epoch: 352
loss: 0.8575059104801188
epoch: 353
loss: 0.8624232290890017
epoch: 354
loss: 0.8592270853705805
epoch: 355
loss: 0.8620017501864472
epoch: 356
loss: 0.8618945516344672
epoch: 357
loss: 0.8642764303562134
epoch: 358
loss: 0.8625950904869326
epoch: 359
loss: 0.8772271788023874
epoch: 360
loss: 0.8847686142291663
epoch: 361
loss: 0.876393343239139
epoch: 362
loss: 0.8667775342727928
epoch: 363
loss: 0.8773660431653663
epoch: 364
loss: 0.8695035588066533
epoch: 365
loss: 0.8646530865658968
epoch: 366
loss: 0.8624483265002783
epoch: 367
loss: 0.8602876933115833
epoch: 368
loss: 0.8631261383105481
epoch: 369
loss: 0.8559140834525589
epoch: 370
loss: 0.8606988535415773
epoch: 371
loss: 0.8514596993389798
epoch: 372
loss: 0.8540981540461435
epoch: 373
loss: 0.85431851466711
epoch: 374
loss: 0.8524376653596719
IOU: [98.01, 83.82, 91.41, 49.77, 56.49, 60.93, 65.74, 75.35, 91.68, 62.62, 94.58, 79.91, 59.44, 93.92, 71.37, 78.26, 63.03, 59.25, 73.5]
mIOU: 74.16, mIOU_reduced: 74.78, accuracy: 95.56
epoch: 375
loss: 0.8504806642905078
epoch: 376
loss: 0.8575070085872537
epoch: 377
loss: 0.8821737759839492
epoch: 378
loss: 0.8656780255451356
epoch: 379
loss: 0.8612482660221603
epoch: 380
loss: 0.8581334080978866
epoch: 381
loss: 0.8526576305978061
epoch: 382
loss: 0.8444995221423331
epoch: 383
loss: 0.8531209495511016
epoch: 384
loss: 0.8541896590646708
epoch: 385
loss: 0.8515422996485008
epoch: 386
loss: 0.8506717934120055
epoch: 387
loss: 0.8514166153023507
epoch: 388
loss: 0.8529562500287902
epoch: 389
loss: 0.8495264552995523
epoch: 390
loss: 0.8469481172587351
epoch: 391
loss: 0.8470946037865713
epoch: 392
loss: 0.847893997986683
epoch: 393
loss: 0.8524289198641507
epoch: 394
loss: 0.8449237594064677
epoch: 395
loss: 0.8507808761776618
epoch: 396
loss: 0.8433771902981473
epoch: 397
loss: 0.839672915537081
epoch: 398
loss: 0.8445277188344785
epoch: 399
loss: 0.8405604942468299
IOU: [97.57, 81.44, 91.51, 50.29, 59.4, 63.51, 66.74, 77.12, 91.73, 59.78, 94.6, 78.79, 56.89, 93.89, 71.64, 77.12, 66.56, 41.79, 70.85]
mIOU: 73.22, mIOU_reduced: 73.49, accuracy: 95.41
epoch: 400
loss: 0.8414657994743306
epoch: 401
loss: 0.8369528018239374
epoch: 402
loss: 0.8359929747337279
epoch: 403
loss: 0.8427180567520327
epoch: 404
loss: 0.8398890196473772
epoch: 405
loss: 0.844276398661323
epoch: 406
loss: 0.843002994105501
epoch: 407
loss: 0.8364021876108936
epoch: 408
loss: 0.836010642771451
epoch: 409
loss: 0.8370401627933882
epoch: 410
loss: 0.8399203911303189
epoch: 411
loss: 0.8301897863493454
epoch: 412
loss: 0.8357904066615349
epoch: 413
loss: 0.8364134231667635
epoch: 414
loss: 0.8319524847914909
epoch: 415
loss: 0.8363773507891961
epoch: 416
loss: 0.8319084563987917
epoch: 417
loss: 0.8266608769681576
epoch: 418
loss: 0.8323458632368925
epoch: 419
loss: 0.8296611304231731
epoch: 420
loss: 0.8351995882319633
epoch: 421
loss: 0.8332414594943311
epoch: 422
loss: 0.8346299434286565
epoch: 423
loss: 0.8369209716583519
epoch: 424
loss: 0.830026229758147
IOU: [97.85, 82.67, 92.05, 57.32, 56.15, 62.38, 68.83, 76.43, 92.03, 61.05, 94.9, 79.49, 59.51, 94.26, 70.73, 80.11, 73.08, 58.31, 73.03]
mIOU: 75.27, mIOU_reduced: 75.39, accuracy: 95.68
epoch: 425
loss: 0.8297644517813731
epoch: 426
loss: 0.8261600366499867
epoch: 427
loss: 0.8230434934083984
epoch: 428
loss: 0.8245340497345938
epoch: 429
loss: 0.8302817445880962
epoch: 430
loss: 0.8293537201907114
epoch: 431
loss: 0.8318112253178804
epoch: 432
loss: 0.8259227041285636
epoch: 433
loss: 0.84846673339525
epoch: 434
loss: 0.8344606508141901
epoch: 435
loss: 0.829304777547677
epoch: 436
loss: 0.8293742425036881
epoch: 437
loss: 0.8272970534077874
epoch: 438
loss: 0.8322921115754428
epoch: 439
loss: 0.8228049315210944
epoch: 440
loss: 0.832647478805398
epoch: 441
loss: 0.8272533929251596
epoch: 442
loss: 0.8268417707993335
epoch: 443
loss: 0.8223206979245189
epoch: 444
loss: 0.8227467917689094
epoch: 445
loss: 0.8172641388489551
epoch: 446
loss: 0.8119585250587155
epoch: 447
loss: 0.8205387947372992
epoch: 448
loss: 0.8133048264164167
epoch: 449
loss: 0.8214989598549279
IOU: [98.18, 85.21, 91.79, 52.93, 59.03, 64.64, 70.43, 77.61, 92.48, 65.13, 95.13, 81.25, 60.9, 94.35, 67.98, 81.48, 68.83, 63.92, 75.45]
mIOU: 76.14, mIOU_reduced: 76.78, accuracy: 95.88
epoch: 450
loss: 0.8156731337549873
epoch: 451
loss: 0.814052602672834
epoch: 452
loss: 0.8156312225321233
epoch: 453
loss: 0.8096439690602758
epoch: 454
loss: 0.8130612461714731
epoch: 455
loss: 0.8073260429091852
epoch: 456
loss: 0.809583380537213
epoch: 457
loss: 0.8082446375625796
epoch: 458
loss: 0.8101785046392374
epoch: 459
loss: 0.8143940143829408
epoch: 460
loss: 0.8126880916945054
epoch: 461
loss: 0.8122699766788842
epoch: 462
loss: 0.8108937533075276
epoch: 463
loss: 0.81111185521771
epoch: 464
loss: 0.8044946682099705
epoch: 465
loss: 0.8052222587348958
epoch: 466
loss: 0.804642731288694
epoch: 467
loss: 0.8063151282120266
epoch: 468
loss: 0.8030480192999313
epoch: 469
loss: 0.80295858967979
epoch: 470
loss: 0.8029655961977503
epoch: 471
loss: 0.7997069622307132
epoch: 472
loss: 0.8010212764585757
epoch: 473
loss: 0.7971813844220658
epoch: 474
loss: 0.7974198929704425
IOU: [98.3, 85.89, 92.39, 57.39, 59.93, 65.28, 70.26, 78.13, 92.5, 63.84, 95.18, 81.6, 62.31, 94.89, 75.46, 79.32, 55.07, 64.02, 75.86]
mIOU: 76.19, mIOU_reduced: 77.36, accuracy: 96.1
epoch: 475
loss: 0.7992119311965058
epoch: 476
loss: 0.7959136564455264
epoch: 477
loss: 0.7896449018038829
epoch: 478
loss: 0.7964094017715145
epoch: 479
loss: 0.7990103131034625
epoch: 480
loss: 0.7929398052775957
epoch: 481
loss: 0.7953906695476439
epoch: 482
loss: 0.7912432718469768
epoch: 483
loss: 0.7906126323735939
epoch: 484
loss: 0.7918656159925332
epoch: 485
loss: 0.7906106454985482
epoch: 486
loss: 0.7895122710263954
epoch: 487
loss: 0.7882008775867864
epoch: 488
loss: 0.7888339968383151
epoch: 489
loss: 0.7846696738284232
epoch: 490
loss: 0.7825752318387404
IOU: [98.23, 85.59, 92.51, 59.0, 58.8, 65.31, 71.12, 78.59, 92.63, 64.54, 95.31, 81.62, 62.31, 94.89, 74.73, 82.85, 70.54, 64.01, 75.85]
mIOU: 77.29, mIOU_reduced: 77.52, accuracy: 96.12
epoch: 491
loss: 0.7897293183681457
IOU: [98.26, 85.68, 92.47, 58.92, 60.55, 65.55, 71.09, 78.48, 92.64, 64.5, 95.25, 81.57, 62.29, 94.87, 73.99, 82.06, 71.34, 64.5, 75.9]
mIOU: 77.36, mIOU_reduced: 77.66, accuracy: 96.13
epoch: 492
loss: 0.7884594149024018
IOU: [98.29, 85.9, 92.53, 59.99, 60.24, 65.6, 71.2, 78.85, 92.6, 64.52, 95.3, 81.71, 62.89, 94.93, 74.33, 82.8, 71.57, 64.62, 76.21]
mIOU: 77.58, mIOU_reduced: 77.84, accuracy: 96.16
epoch: 493
loss: 0.7865663450361905
IOU: [98.31, 86.0, 92.48, 59.83, 59.4, 65.94, 71.35, 78.65, 92.59, 64.74, 95.28, 81.61, 62.7, 94.91, 76.38, 83.12, 71.53, 64.47, 76.04]
mIOU: 77.65, mIOU_reduced: 77.77, accuracy: 96.16
epoch: 494
loss: 0.7860736875842523
IOU: [98.29, 85.93, 92.53, 60.31, 60.25, 65.87, 71.5, 78.45, 92.62, 64.84, 95.28, 81.78, 62.89, 94.9, 76.13, 83.35, 73.2, 64.65, 76.03]
mIOU: 77.83, mIOU_reduced: 77.88, accuracy: 96.17
epoch: 495
loss: 0.7812871905671297
IOU: [98.26, 85.71, 92.54, 59.94, 60.11, 65.95, 71.64, 78.66, 92.6, 64.28, 95.3, 81.72, 62.55, 94.9, 76.16, 83.43, 72.06, 64.39, 76.05]
mIOU: 77.7, mIOU_reduced: 77.79, accuracy: 96.15
epoch: 496
loss: 0.7869193139423257
IOU: [98.31, 86.0, 92.52, 59.75, 60.58, 65.73, 71.24, 78.71, 92.59, 64.54, 95.28, 81.71, 62.59, 94.92, 75.98, 83.13, 71.96, 64.42, 76.02]
mIOU: 77.68, mIOU_reduced: 77.81, accuracy: 96.17
epoch: 497
loss: 0.7809373079284504
IOU: [98.31, 85.97, 92.55, 60.23, 60.31, 65.66, 71.23, 78.79, 92.64, 64.51, 95.29, 81.73, 62.98, 94.94, 76.02, 83.69, 72.73, 64.63, 75.96]
mIOU: 77.8, mIOU_reduced: 77.86, accuracy: 96.19
epoch: 498
loss: 0.7829509926934769
IOU: [98.31, 85.97, 92.55, 60.06, 60.68, 65.86, 71.47, 78.9, 92.67, 64.55, 95.3, 81.75, 62.74, 94.92, 76.21, 83.25, 72.22, 64.47, 75.96]
mIOU: 77.78, mIOU_reduced: 77.88, accuracy: 96.19
epoch: 499
loss: 0.7822518080392616
IOU: [98.31, 86.01, 92.51, 59.67, 60.44, 65.94, 71.37, 78.88, 92.63, 64.36, 95.26, 81.75, 62.77, 94.91, 76.63, 83.49, 72.99, 64.17, 76.03]
mIOU: 77.8, mIOU_reduced: 77.81, accuracy: 96.18
Best mIOU: 77.8320083618164
Best global accuracy: 96.18813991546631
Training time 1 day, 4:50:42
mIOUs: [77.8320083618164]
global_accuracies: [96.18813991546631]
