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run: 1
epoch: 0
loss: 1.5372203721833035
IOU: [75.74, 10.41, 51.32, 0.0, 0.0, 0.0, 0.0, 0.0, 57.25, 20.67, 15.81, 0.0, 0.0, 18.14, 0.0, 0.0, 0.0, 0.0, 0.0]
mIOU: 13.12, mIOU_reduced: 13.85, accuracy: 69.09
epoch: 1
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epoch: 16
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epoch: 18
loss: 1.1660614185577454
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epoch: 22
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epoch: 23
loss: 1.1446155377154081
epoch: 24
loss: 1.1224161129434795
IOU: [95.6, 66.86, 84.49, 26.78, 26.26, 45.25, 32.96, 49.27, 87.72, 45.1, 86.48, 56.79, 9.82, 86.07, 23.65, 22.78, 29.75, 5.75, 55.2]
mIOU: 49.29, mIOU_reduced: 50.38, accuracy: 91.45
epoch: 25
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loss: 1.0698469927047463
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loss: 1.090039791122601
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loss: 1.0749889446718675
epoch: 48
loss: 1.0773647409886362
epoch: 49
loss: 1.0580974876719986
IOU: [95.53, 68.59, 85.63, 34.73, 41.07, 49.58, 45.03, 59.56, 88.34, 50.38, 89.86, 67.77, 35.17, 89.4, 38.89, 51.23, 15.24, 27.34, 63.29]
mIOU: 57.72, mIOU_reduced: 60.08, accuracy: 92.28
epoch: 50
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loss: 1.0530236679910008
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loss: 1.0405790471645058
epoch: 74
loss: 1.0468429169564877
IOU: [96.7, 75.51, 88.09, 33.97, 43.23, 50.93, 50.98, 65.22, 90.15, 52.24, 89.66, 71.64, 46.32, 90.06, 32.64, 57.0, 46.62, 28.79, 63.83]
mIOU: 61.77, mIOU_reduced: 62.61, accuracy: 93.53
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loss: 1.036367165431822
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loss: 1.0295208536711022
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loss: 1.0194546667070723
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loss: 1.0326650775667792
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loss: 1.0538098097168853
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loss: 1.0475419088193991
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loss: 1.0229561603615547
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loss: 1.0211103287025924
epoch: 99
loss: 1.0134762536804631
IOU: [95.79, 67.94, 86.64, 23.83, 34.24, 46.42, 48.49, 63.59, 89.18, 50.5, 91.26, 66.75, 34.48, 89.68, 28.66, 58.67, 23.34, 21.92, 60.66]
mIOU: 56.95, mIOU_reduced: 58.82, accuracy: 92.53
epoch: 100
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loss: 1.0053014464455474
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loss: 1.0194040859805926
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loss: 1.0075213433597288
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loss: 1.0308183632449641
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loss: 1.0137744374031006
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loss: 1.0079044633798522
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loss: 1.0295379788406454
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loss: 1.0081300737080228
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loss: 1.0022312691912176
epoch: 122
loss: 1.025799631429811
epoch: 123
loss: 1.0079996879852686
epoch: 124
loss: 0.9895212386817623
IOU: [97.06, 76.17, 89.17, 43.44, 50.54, 51.36, 52.66, 66.39, 90.4, 44.64, 93.18, 70.97, 39.87, 92.06, 57.14, 68.24, 59.9, 28.95, 65.69]
mIOU: 65.15, mIOU_reduced: 65.44, accuracy: 94.14
epoch: 125
loss: 1.0048252509610671
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loss: 0.989590674397759
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loss: 0.9969040957101272
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loss: 0.99237985254298
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loss: 0.9917639681913782
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loss: 0.9944949000672189
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loss: 1.0101177918943112
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loss: 1.020909580258989
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loss: 1.0038816250880773
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loss: 1.0014563228563478
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loss: 0.9996652786301152
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loss: 0.9918523146457107
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loss: 1.0154663155663688
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loss: 1.0017495897580992
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loss: 0.9951464016482515
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loss: 0.9836177393753895
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loss: 1.0090820538708463
epoch: 149
loss: 0.9956960523867543
IOU: [97.23, 77.69, 89.57, 12.81, 42.37, 52.96, 56.84, 68.57, 90.53, 58.68, 93.72, 74.16, 47.74, 92.25, 53.44, 72.54, 61.47, 45.51, 69.71]
mIOU: 66.2, mIOU_reduced: 66.46, accuracy: 94.29
epoch: 150
loss: 0.998632215425332
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loss: 0.9915764903765162
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loss: 0.9813702916199306
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loss: 0.9893614384684601
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loss: 0.97359723656004
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loss: 0.975632236331621
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loss: 0.9818551349190047
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loss: 1.0051916773428493
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loss: 0.9983957056407979
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loss: 0.9782342430394936
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loss: 0.9767013757697977
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loss: 0.9713434281374888
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loss: 1.0029871889523096
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loss: 0.9998483967909595
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loss: 0.9816056812869892
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loss: 0.9767558148929051
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loss: 0.9811313900986129
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loss: 0.982333260083777
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loss: 0.9759992770750247
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loss: 0.9837332358257469
epoch: 174
loss: 0.9953799445352786
IOU: [97.08, 77.49, 88.94, 43.54, 48.31, 51.39, 52.99, 63.84, 89.88, 55.24, 93.12, 72.41, 45.25, 90.22, 50.53, 71.46, 47.12, 25.92, 68.11]
mIOU: 64.89, mIOU_reduced: 65.87, accuracy: 94.05
epoch: 175
loss: 0.9925752603461478
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loss: 0.9811892223486682
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loss: 0.9768589489222216
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loss: 0.9979230616934537
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loss: 0.9675327574789042
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loss: 1.0023334251259857
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loss: 0.962152585347065
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loss: 0.9716952481681125
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loss: 0.9663222041734145
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loss: 0.9871884741873111
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loss: 1.0125110138137385
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loss: 0.9642565137935135
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loss: 0.9624905096231445
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loss: 1.0115250471145958
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loss: 0.988638782115638
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loss: 0.987524446451439
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loss: 0.9726009836415396
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loss: 0.9751341659425082
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loss: 0.9700253482134837
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loss: 0.9677545267616642
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loss: 0.9614828301247239
epoch: 199
loss: 0.973502171971406
IOU: [97.01, 77.98, 90.21, 45.34, 51.68, 56.77, 60.25, 70.96, 91.16, 56.61, 93.06, 73.68, 50.8, 92.27, 59.69, 76.73, 61.66, 24.18, 59.26]
mIOU: 67.86, mIOU_reduced: 68.2, accuracy: 94.51
epoch: 200
loss: 0.9657398113664591
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loss: 0.9617446937329686
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loss: 0.9586740433366472
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loss: 0.9737134956606636
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loss: 0.9798491415630454
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loss: 0.9715256040308353
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loss: 0.9891761934982156
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loss: 0.9869344888350392
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loss: 0.9681905355414933
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loss: 0.9632088389358109
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loss: 0.9614985315304883
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loss: 0.9703186750411987
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loss: 0.9672619403211897
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loss: 0.9580666233265818
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loss: 0.9764320284851157
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loss: 0.9688165566991924
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loss: 0.9614357337797427
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loss: 0.9650313579489921
epoch: 223
loss: 0.9636434681332015
epoch: 224
loss: 0.9590924859368255
IOU: [97.48, 80.09, 90.26, 39.0, 54.03, 54.78, 59.89, 69.87, 91.05, 49.76, 93.9, 75.29, 48.97, 91.8, 56.31, 70.95, 64.85, 43.67, 70.27]
mIOU: 68.54, mIOU_reduced: 68.74, accuracy: 94.7
epoch: 225
loss: 0.9695898120936679
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loss: 0.9631749656643829
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loss: 0.9553618837559641
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loss: 0.9499534500255739
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loss: 0.9549455165541718
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loss: 0.9702858118355435
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loss: 0.9671758663943514
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loss: 0.9468937047086957
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loss: 0.9672060215248252
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loss: 0.9601325103536128
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loss: 0.9578435146262382
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loss: 0.9596251962641179
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loss: 0.946555370911755
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loss: 0.9435748490040514
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loss: 0.9536074631297685
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loss: 0.962627122826332
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loss: 0.949667937350723
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loss: 0.9507374519286451
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loss: 0.9586869550522447
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loss: 0.9411611981147704
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loss: 0.9508803428986644
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loss: 0.9585918101339006
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loss: 0.940595139872353
epoch: 249
loss: 0.9685637256848523
IOU: [97.29, 78.8, 89.23, 39.39, 51.24, 52.44, 52.11, 67.0, 90.64, 56.04, 93.34, 74.59, 49.7, 92.01, 50.66, 69.38, 61.9, 38.31, 67.47]
mIOU: 66.92, mIOU_reduced: 67.2, accuracy: 94.42
epoch: 250
loss: 0.9644472991038525
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loss: 0.9567948502671686
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loss: 0.9543056239015009
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loss: 0.9570752028827718
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loss: 0.9498111840206979
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loss: 0.9323838223022913
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loss: 0.9438788408860364
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loss: 0.9392230949311886
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loss: 0.950431814251563
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loss: 0.9450471340164021
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loss: 0.9425335796374195
epoch: 274
loss: 0.9497261095561107
IOU: [97.76, 81.68, 91.11, 52.2, 52.72, 60.03, 63.74, 71.09, 91.28, 57.26, 93.8, 77.57, 55.45, 92.05, 48.97, 70.63, 32.89, 41.5, 71.55]
mIOU: 68.59, mIOU_reduced: 70.58, accuracy: 95.05
epoch: 275
loss: 0.948018456083745
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loss: 0.9344985056116253
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loss: 0.930679971959713
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loss: 0.9434988363733832
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loss: 0.9462945033919137
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loss: 0.9460319532859679
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loss: 0.9253678766864972
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loss: 0.9360710212162563
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loss: 0.9352786810892932
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loss: 0.9168743454221124
IOU: [97.17, 79.66, 90.97, 56.64, 49.62, 57.17, 63.45, 72.75, 91.84, 62.83, 94.31, 77.44, 55.11, 92.71, 47.51, 67.3, 33.52, 51.42, 71.23]
mIOU: 69.09, mIOU_reduced: 71.06, accuracy: 94.91
epoch: 300
loss: 0.9249907558497714
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loss: 0.9187110480915183
epoch: 324
loss: 0.9193760129319368
IOU: [97.75, 82.24, 91.25, 53.51, 55.17, 59.91, 63.66, 73.68, 91.53, 59.56, 94.17, 78.09, 56.79, 93.6, 66.71, 76.61, 49.46, 52.56, 72.28]
mIOU: 72.03, mIOU_reduced: 73.28, accuracy: 95.33
epoch: 325
loss: 0.919466159575069
epoch: 326
loss: 0.926819645812248
epoch: 327
loss: 0.9402718948868086
epoch: 328
loss: 0.9376377869809092
epoch: 329
loss: 0.9395051262770702
epoch: 330
loss: 0.9355428822920971
epoch: 331
loss: 0.9339611753620549
epoch: 332
loss: 0.9232094474237241
epoch: 333
loss: 0.926295490920383
epoch: 334
loss: 0.9330477447843937
epoch: 335
loss: 0.9143302447069688
epoch: 336
loss: 0.9146068819128278
epoch: 337
loss: 0.9187507529785691
epoch: 338
loss: 0.9283324884918501
epoch: 339
loss: 0.9129391339911284
epoch: 340
loss: 0.91025031319847
epoch: 341
loss: 0.9298785229256211
epoch: 342
loss: 0.9320515399030598
epoch: 343
loss: 0.9183536962357493
epoch: 344
loss: 0.9172115072085851
epoch: 345
loss: 0.9056156962065683
epoch: 346
loss: 0.9116286272308576
epoch: 347
loss: 0.9221553974395814
epoch: 348
loss: 0.9218917270555008
epoch: 349
loss: 0.9142026579926278
IOU: [97.95, 83.26, 91.5, 47.28, 57.03, 60.29, 63.3, 73.89, 91.81, 61.63, 94.41, 78.71, 55.7, 92.21, 36.49, 73.83, 62.11, 45.23, 73.21]
mIOU: 70.52, mIOU_reduced: 70.98, accuracy: 95.39
epoch: 350
loss: 0.9095862699004839
epoch: 351
loss: 0.9031276445825788
epoch: 352
loss: 0.9164777263155524
epoch: 353
loss: 0.9161163472101053
epoch: 354
loss: 0.9161561459222572
epoch: 355
loss: 0.922975779383009
epoch: 356
loss: 0.9171310791750803
epoch: 357
loss: 0.9048529151636314
epoch: 358
loss: 0.9026430602664897
epoch: 359
loss: 0.9108736050739442
epoch: 360
loss: 0.9073169376008273
epoch: 361
loss: 0.8974672358312376
epoch: 362
loss: 0.9152723354792016
epoch: 363
loss: 0.9183200668453206
epoch: 364
loss: 0.9180069111106852
epoch: 365
loss: 0.9236946077038336
epoch: 366
loss: 0.9025544760362157
epoch: 367
loss: 0.9020417462783361
epoch: 368
loss: 0.9030440391877269
epoch: 369
loss: 0.9104206716275279
epoch: 370
loss: 0.9136538169776012
epoch: 371
loss: 0.9002504519053868
epoch: 372
loss: 0.8992360356361718
epoch: 373
loss: 0.9014903380864393
epoch: 374
loss: 0.9235143833404603
IOU: [97.61, 80.58, 91.05, 54.73, 56.79, 58.64, 64.02, 74.22, 91.67, 61.9, 92.52, 76.42, 48.71, 93.47, 66.25, 76.26, 53.34, 52.49, 71.76]
mIOU: 71.71, mIOU_reduced: 72.73, accuracy: 95.2
epoch: 375
loss: 0.9187697654143177
epoch: 376
loss: 0.9129583252408112
epoch: 377
loss: 0.9216192711717035
epoch: 378
loss: 0.9161356828926066
epoch: 379
loss: 0.8942671047066743
epoch: 380
loss: 0.9049101738595577
epoch: 381
loss: 0.8962043171944323
epoch: 382
loss: 0.8887969494829924
epoch: 383
loss: 0.8949507595393857
epoch: 384
loss: 0.8950018656221683
epoch: 385
loss: 0.8873338294479082
epoch: 386
loss: 0.8883801004635998
epoch: 387
loss: 0.9094774009725154
epoch: 388
loss: 0.8985615870701977
epoch: 389
loss: 0.908132655279977
epoch: 390
loss: 0.8930362210762147
epoch: 391
loss: 0.8948016835030198
epoch: 392
loss: 0.8911670534758555
epoch: 393
loss: 0.893708450453622
epoch: 394
loss: 0.8909084808151677
epoch: 395
loss: 0.89069677218594
epoch: 396
loss: 0.8914540149773549
epoch: 397
loss: 0.8860764975817699
epoch: 398
loss: 0.8878860830296724
epoch: 399
loss: 0.8794155390757434
IOU: [98.08, 84.36, 91.82, 48.25, 57.61, 61.69, 65.52, 75.23, 91.92, 62.55, 94.73, 79.46, 58.67, 94.12, 71.46, 80.6, 69.58, 54.07, 73.48]
mIOU: 74.38, mIOU_reduced: 74.64, accuracy: 95.69
epoch: 400
loss: 0.8981002050268683
epoch: 401
loss: 0.8838068020311649
epoch: 402
loss: 0.8893955364381528
epoch: 403
loss: 0.8870959505237981
epoch: 404
loss: 0.8791752878546394
epoch: 405
loss: 0.8874881039411231
epoch: 406
loss: 0.8896947644470194
epoch: 407
loss: 0.8877224249017206
epoch: 408
loss: 0.8811231761608483
epoch: 409
loss: 0.885573406264467
epoch: 410
loss: 0.8820521503767235
epoch: 411
loss: 0.8820470720931205
epoch: 412
loss: 0.8809754573752616
epoch: 413
loss: 0.8827814024413693
epoch: 414
loss: 0.8822991256765278
epoch: 415
loss: 0.8805870841134269
epoch: 416
loss: 0.8841355420508474
epoch: 417
loss: 0.8957469784667228
epoch: 418
loss: 0.883255265633051
epoch: 419
loss: 0.887660712244697
epoch: 420
loss: 0.8813008960045251
epoch: 421
loss: 0.8861635300027071
epoch: 422
loss: 0.8849609857299578
epoch: 423
loss: 0.8799698389765387
epoch: 424
loss: 0.8717370306385174
IOU: [98.04, 83.91, 92.18, 58.17, 58.87, 63.09, 67.28, 76.39, 92.18, 61.58, 94.81, 79.95, 59.42, 94.14, 72.78, 80.47, 59.89, 57.26, 74.25]
mIOU: 74.98, mIOU_reduced: 75.82, accuracy: 95.8
epoch: 425
loss: 0.8736279272647559
epoch: 426
loss: 0.8811659268291813
epoch: 427
loss: 0.8939159453075851
epoch: 428
loss: 0.8801895680453257
epoch: 429
loss: 0.8724435195125981
epoch: 430
loss: 0.8709222348231189
epoch: 431
loss: 0.8668329852289267
epoch: 432
loss: 0.8761223821305844
epoch: 433
loss: 0.8732586641195971
epoch: 434
loss: 0.8688254357990871
epoch: 435
loss: 0.8781201603277674
epoch: 436
loss: 0.8759205423275416
epoch: 437
loss: 0.8764158387711106
epoch: 438
loss: 0.8696489306794344
epoch: 439
loss: 0.8709251176957493
epoch: 440
loss: 0.8670618967868569
epoch: 441
loss: 0.8648067426810047
epoch: 442
loss: 0.869113640643837
epoch: 443
loss: 0.8682107064280549
epoch: 444
loss: 0.8695381698261374
epoch: 445
loss: 0.867740472853987
epoch: 446
loss: 0.8610891164795086
epoch: 447
loss: 0.8635948102750547
epoch: 448
loss: 0.8608491091394039
epoch: 449
loss: 0.8660549095698765
IOU: [98.1, 84.11, 92.23, 59.07, 61.71, 62.12, 66.22, 76.02, 92.3, 59.57, 94.69, 79.81, 60.15, 94.19, 69.42, 77.94, 65.07, 54.76, 74.25]
mIOU: 74.83, mIOU_reduced: 75.37, accuracy: 95.85
epoch: 450
loss: 0.8617938718384488
epoch: 451
loss: 0.8576244485346134
epoch: 452
loss: 0.8669148262620293
epoch: 453
loss: 0.8603574177325575
epoch: 454
loss: 0.858598420080149
epoch: 455
loss: 0.8575997191940677
epoch: 456
loss: 0.8581434279439263
epoch: 457
loss: 0.8544640962004341
epoch: 458
loss: 0.8560775547336054
epoch: 459
loss: 0.856279953149451
epoch: 460
loss: 0.8507063387217869
epoch: 461
loss: 0.8497651902170515
epoch: 462
loss: 0.8556882779231932
epoch: 463
loss: 0.8487218820823813
epoch: 464
loss: 0.8519143638906453
epoch: 465
loss: 0.8487939193563642
epoch: 466
loss: 0.8549474921187943
epoch: 467
loss: 0.846723745293373
epoch: 468
loss: 0.8556747769088436
epoch: 469
loss: 0.8518335255329821
epoch: 470
loss: 0.8488259598251302
epoch: 471
loss: 0.8465970968300441
epoch: 472
loss: 0.8489887433232002
epoch: 473
loss: 0.850536737159256
epoch: 474
loss: 0.8457255443794065
IOU: [98.0, 84.05, 92.47, 50.53, 62.66, 63.86, 68.78, 76.42, 92.24, 64.8, 94.93, 80.86, 61.27, 94.47, 72.86, 80.24, 65.95, 58.76, 74.69]
mIOU: 75.68, mIOU_reduced: 76.22, accuracy: 95.89
epoch: 475
loss: 0.8478122856417756
epoch: 476
loss: 0.8489730578227185
epoch: 477
loss: 0.8449914256196138
epoch: 478
loss: 0.8479020134458002
epoch: 479
loss: 0.8404914002534193
epoch: 480
loss: 0.8392982253167186
epoch: 481
loss: 0.8434840792594251
epoch: 482
loss: 0.8419333516426806
epoch: 483
loss: 0.8422402143478394
epoch: 484
loss: 0.8449511523195354
epoch: 485
loss: 0.8402545267359587
IOU: [98.12, 84.72, 92.43, 58.75, 63.31, 64.29, 69.42, 77.8, 92.5, 64.74, 94.81, 81.13, 62.71, 94.75, 78.24, 81.14, 62.42, 58.39, 75.77]
mIOU: 76.6, mIOU_reduced: 77.39, accuracy: 96.04
epoch: 486
loss: 0.8444460766977377
IOU: [98.08, 84.67, 92.55, 60.79, 62.56, 64.33, 69.14, 77.6, 92.57, 66.38, 94.87, 81.07, 62.55, 94.71, 78.8, 82.73, 67.11, 58.72, 75.59]
mIOU: 77.1, mIOU_reduced: 77.65, accuracy: 96.08
epoch: 487
loss: 0.8368175561537319
IOU: [98.12, 84.68, 92.57, 58.13, 63.61, 63.86, 69.28, 77.57, 92.56, 65.67, 94.86, 80.97, 62.16, 94.76, 78.35, 81.56, 66.54, 59.06, 75.64]
mIOU: 76.84, mIOU_reduced: 77.41, accuracy: 96.07
epoch: 488
loss: 0.8387388935628927
IOU: [98.15, 84.97, 92.6, 55.98, 64.37, 64.82, 69.23, 77.86, 92.42, 64.8, 94.98, 80.88, 61.87, 94.77, 78.89, 81.97, 66.61, 59.64, 75.59]
mIOU: 76.86, mIOU_reduced: 77.43, accuracy: 96.07
epoch: 489
loss: 0.8413320946886211
IOU: [98.19, 85.29, 92.62, 62.7, 64.24, 64.36, 69.3, 77.57, 92.66, 65.42, 94.7, 80.89, 61.98, 94.78, 78.07, 81.63, 63.65, 60.08, 75.78]
mIOU: 77.05, mIOU_reduced: 77.79, accuracy: 96.13
epoch: 490
loss: 0.8371520885881388
IOU: [98.19, 85.3, 92.59, 61.48, 63.81, 64.5, 69.32, 77.67, 92.66, 66.25, 94.91, 80.94, 62.55, 94.73, 78.04, 83.92, 75.66, 58.95, 75.67]
mIOU: 77.74, mIOU_reduced: 77.86, accuracy: 96.15
epoch: 491
loss: 0.8397912171009094
IOU: [98.11, 84.83, 92.64, 62.16, 64.01, 64.33, 69.38, 77.56, 92.58, 65.58, 94.9, 81.02, 62.48, 94.79, 78.26, 83.32, 72.99, 58.82, 75.28]
mIOU: 77.53, mIOU_reduced: 77.78, accuracy: 96.11
epoch: 492
loss: 0.8402734990068523
IOU: [98.2, 85.23, 92.55, 61.23, 62.99, 63.85, 69.55, 77.73, 92.64, 65.9, 94.88, 81.02, 62.3, 94.77, 78.11, 83.49, 73.15, 59.99, 75.62]
mIOU: 77.54, mIOU_reduced: 77.78, accuracy: 96.13
epoch: 493
loss: 0.8409291605422439
IOU: [98.13, 84.89, 92.64, 61.91, 63.23, 64.81, 69.7, 77.86, 92.71, 66.19, 94.93, 81.07, 61.94, 94.8, 79.11, 83.51, 71.23, 59.86, 75.54]
mIOU: 77.58, mIOU_reduced: 77.93, accuracy: 96.13
epoch: 494
loss: 0.8354779459395498
IOU: [98.1, 84.87, 92.63, 61.65, 64.2, 64.24, 69.52, 77.77, 92.63, 65.7, 94.96, 81.03, 62.27, 94.76, 76.67, 80.87, 66.1, 60.19, 75.76]
mIOU: 77.05, mIOU_reduced: 77.66, accuracy: 96.09
epoch: 495
loss: 0.8409457081411726
IOU: [98.08, 84.74, 92.61, 61.36, 64.33, 64.57, 69.6, 78.0, 92.65, 66.39, 94.95, 81.06, 62.68, 94.73, 77.73, 81.94, 66.04, 59.36, 75.73]
mIOU: 77.19, mIOU_reduced: 77.81, accuracy: 96.1
epoch: 496
loss: 0.8369551460055328
IOU: [98.15, 85.0, 92.64, 60.52, 64.31, 64.52, 69.35, 77.9, 92.71, 66.35, 94.92, 81.07, 62.08, 94.74, 78.2, 82.34, 67.96, 59.16, 75.76]
mIOU: 77.25, mIOU_reduced: 77.76, accuracy: 96.13
epoch: 497
loss: 0.8371539257286051
IOU: [98.12, 84.89, 92.6, 61.85, 63.91, 64.49, 69.36, 78.0, 92.64, 65.98, 94.9, 81.07, 62.3, 94.76, 77.82, 81.79, 67.59, 59.22, 75.65]
mIOU: 77.21, mIOU_reduced: 77.74, accuracy: 96.11
epoch: 498
loss: 0.8372619421976917
IOU: [98.13, 84.9, 92.58, 60.87, 63.86, 64.15, 69.6, 77.76, 92.7, 66.04, 94.91, 81.12, 62.38, 94.74, 78.15, 82.72, 69.43, 59.18, 75.75]
mIOU: 77.31, mIOU_reduced: 77.75, accuracy: 96.11
epoch: 499
loss: 0.8406926872273982
IOU: [98.12, 84.85, 92.58, 61.26, 64.12, 64.55, 69.73, 77.98, 92.66, 66.08, 94.9, 81.08, 62.02, 94.75, 78.0, 82.71, 70.4, 59.15, 75.74]
mIOU: 77.4, mIOU_reduced: 77.79, accuracy: 96.11
Best mIOU: 77.74299099570827
Best global accuracy: 96.14624977111816
Training time 21:47:38
mIOUs: [77.74299099570827]
global_accuracies: [96.14624977111816]
