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segformer-b0-scene-parse-150

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segformer-b0-scene-parse-150

This model is a fine-tuned version of nvidia/mit-b0 on the scene_parse_150 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6227
  • Mean Iou: 0.1334
  • Mean Accuracy: 0.1984
  • Overall Accuracy: 0.5960
  • Per Category Iou: [0.5365101147666829, nan, nan, 0.711661090752115, nan, 0.3776627330734931, nan, nan, 0.2660109628831446, nan, 0.5413496084453225, nan, 0.0, nan, 0.2987243662199257, nan, nan, 0.0, 0.33235396098326553, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.31042539725026697, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3688677138390531, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.3201774273925985, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.151685978735316, nan, nan, nan, nan, 0.0, nan, 0.5397105453175525, 0.0, 0.0, nan, nan, 0.25895675770072946, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.32371069875363767, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
  • Per Category Accuracy: [0.8225093219399673, nan, nan, 0.8787333646197255, nan, 0.5348710969754427, nan, nan, 0.3627234905652844, nan, 0.8209613463991535, nan, 0.0, nan, 0.39111299033268626, nan, nan, 0.0, 0.6062583222370173, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3436652585862296, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5783925508893857, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6875554355790366, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.18300506438671799, nan, nan, nan, nan, 0.0, nan, 0.800009307087347, 0.0, 0.0, nan, nan, 0.32914439872283024, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5975211456326941, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 6e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Per Category Iou Per Category Accuracy
4.7208 0.5 20 4.9095 0.0059 0.0528 0.1696 [0.2744463430388743, nan, 0.0, 0.11987534098755773, nan, 0.015649043745878215, nan, 0.0, 0.029441053457830053, nan, 0.007370035553719517, nan, 0.0, 0.0, 0.0692142547182021, 0.0, 0.0, 0.0, 0.01592540264056823, 0.003579223046704496, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.000784711964549483, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.016878566268364953, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010731477585494747, 0.0, 0.0, 0.0, 0.08165794007010903, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0057381813573842925, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.10908642927539958, 0.0, 0.0, 0.0, 0.0, 0.00037472321580650655, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018603286384976526, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0017445482866043614, 0.0, 0.0, 0.0, 0.0] [0.3369821173508333, nan, nan, 0.13226611973418154, nan, 0.017416434753356372, nan, nan, 0.04013447364428367, nan, 0.008291390204590177, nan, 0.0, nan, 0.26209855662970155, nan, nan, 0.0, 0.38535286284953396, 0.003871576959395656, nan, nan, nan, nan, 0.0, nan, nan, 0.0007871257101494458, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.019614973646167246, nan, nan, nan, 0.0, 0.0, 0.04076844112039889, nan, nan, nan, 0.602329258416567, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.006090714511280833, nan, nan, nan, nan, 0.0, nan, 0.18954814090930244, 0.0, 0.0, nan, nan, 0.000469547697508836, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.044082881379502156, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.020129403306973402, 0.0, 0.0, nan, nan]
4.6456 1.0 40 4.5686 0.0151 0.0805 0.2556 [0.3273645670461781, nan, 0.0, 0.33647703788523453, nan, 0.08438120336189962, nan, nan, 0.024752367238294715, nan, 0.05249346352659846, nan, 0.0, nan, 0.09726884018622228, 0.0, 0.0, 0.0, 0.025663307052652278, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.008864583396331395, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.022288860455671154, 0.0, nan, nan, 0.0, 0.0, 0.0001800936486973226, 0.0, nan, 0.0, 0.06568069031340462, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.05498569137107652, nan, nan, 0.0, nan, 0.0, nan, 0.14348095013893888, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 7.11591830925781e-05, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.005750868055555556, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.43063023215447127, nan, nan, 0.497129183830729, nan, 0.09376051255390074, nan, nan, 0.027178209520159067, nan, 0.10809955601261755, nan, 0.0, nan, 0.40365839595625685, nan, nan, 0.0, 0.4040612516644474, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.009048858899227845, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.032769442124828276, nan, nan, nan, 0.0, 0.0, 0.0004399472063352398, nan, nan, nan, 0.8445779183216999, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07056515280880478, nan, nan, nan, nan, 0.0, nan, 0.28930150309460656, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 7.178149712275832e-05, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.007370324016131275, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
4.2378 1.5 60 4.2296 0.0289 0.1047 0.3051 [0.3630972447455244, nan, nan, 0.328034033762494, nan, 0.09948562262622655, nan, nan, 0.009390575357886084, nan, 0.15077874479793382, nan, 0.0, nan, 0.10354761633022727, 0.0, nan, 0.0, 0.03351293247836398, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, 0.01886954831491684, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.11507759084901197, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.09095411912489663, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.015322011270715395, nan, nan, nan, nan, 0.0, nan, 0.2621193341464739, 0.0, 0.0, 0.0, 0.0, 0.00035960927351587785, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0001781409213448452, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.4752688880384296, nan, nan, 0.7286426920202319, nan, 0.11925823419676443, nan, nan, 0.01012545017527889, nan, 0.35127411523895224, nan, 0.0, nan, 0.27027637370029406, nan, nan, 0.0, 0.7493342210386151, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.01962721109013824, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3166186281640313, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6373356214569434, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.01745049649703505, nan, nan, nan, nan, 0.0, nan, 0.49402950346689006, 0.0, 0.0, nan, nan, 0.00041832431232605394, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.00017945374280689582, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
3.8976 2.0 80 3.9759 0.0306 0.1015 0.2985 [0.33930773442978873, nan, nan, 0.27836252042063936, nan, 0.1008782792009713, nan, nan, 0.012994405349032146, nan, 0.12758055381680528, nan, 0.0, nan, 0.06158633906036858, 0.0, nan, 0.0, 0.03126015021062468, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.027526013465794058, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.13417669787486997, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.12361492845969617, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.01154083467580266, nan, nan, nan, nan, 0.0, nan, 0.21802139627219588, 0.0, 0.0, nan, nan, 0.0006264743416218724, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0017409306921375807, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.46164724900820414, nan, nan, 0.8593734610281636, nan, 0.12768356830484112, nan, nan, 0.013307620439355102, nan, 0.2116208011549605, nan, 0.0, nan, 0.1071620764544214, nan, nan, 0.0, 0.8329893475366178, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.028873623108776142, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3567105747559913, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6742605375805021, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.014055719949940934, nan, nan, nan, nan, 0.0, nan, 0.3679650053515752, 0.0, 0.0, nan, nan, 0.0006915156999675585, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.001770610262361372, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
3.5441 2.5 100 3.6807 0.0458 0.1132 0.3672 [0.432082254650139, nan, nan, 0.321727605261922, nan, 0.08483191561983416, nan, nan, 0.035954321747154724, nan, 0.17320414685703156, nan, 0.0, nan, 0.08715920146889927, nan, nan, 0.0, 0.05216121057757135, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.029722562910328765, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.16324961940147556, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.11211185021026494, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.021912, nan, nan, nan, nan, 0.0, nan, 0.314601168569643, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0030765256396707414, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.6021826828365466, nan, nan, 0.8930555796962902, nan, 0.09691045597724701, nan, nan, 0.03733560117864073, nan, 0.3560996351195008, nan, 0.0, nan, 0.22899329246026406, nan, nan, 0.0, 0.6953728362183755, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.031156287668209538, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3442205640707917, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6237996992017276, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.02402659680230178, nan, nan, nan, nan, 0.0, nan, 0.5903299362464517, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.00313445870769378, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
3.5002 3.0 120 3.5934 0.0424 0.1120 0.3587 [0.4230901999617129, nan, nan, 0.4319229396687296, nan, 0.09481926048565122, nan, nan, 0.04276602023289775, nan, 0.17398447893569846, nan, 0.0, nan, 0.06315705213725385, nan, nan, 0.0, 0.04146191802802202, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.017872944157831572, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.1696680284742467, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.12671459269513025, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.02859437995251164, nan, nan, nan, nan, 0.0, nan, 0.12153668786492618, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0027320506587020445, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.5754329499992681, nan, nan, 0.9221345430738301, nan, 0.11559604269243708, nan, nan, 0.04513331576551757, nan, 0.3879549881834093, nan, 0.0, nan, 0.1251033037996579, nan, nan, 0.0, 0.8120173102529961, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.018548385852109883, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5233727518429725, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.7669199028190197, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.03299453794781226, nan, nan, nan, nan, 0.0, nan, 0.15207780725022105, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.002823405553495161, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
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0.6493 46.5 1860 1.6077 0.1340 0.1977 0.5981 [0.5386448533955915, nan, nan, 0.7113928658379485, nan, 0.37914816538242124, nan, nan, 0.25914743640469684, nan, 0.5261751472421787, nan, 0.0, nan, 0.2961983394154215, nan, nan, 0.0, 0.3190989119142654, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3227058749081745, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3709464848323727, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.3255596228923446, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.17338379844085414, nan, nan, nan, nan, 0.0, nan, 0.5449554308974753, 0.0, 0.0, nan, nan, 0.26484160175119753, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3295580493211416, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8202350404560692, nan, nan, 0.8718590490095539, nan, 0.5513165540230588, nan, nan, 0.3399611910979086, nan, 0.8158292873458651, nan, 0.0, nan, 0.36698314466375814, nan, nan, 0.0, 0.5828229027962717, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.36205004576132804, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5888532715567169, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6705102001465427, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2243622732429619, nan, nan, nan, nan, 0.0, nan, 0.8074084415282238, 0.0, 0.0, nan, nan, 0.3346594498608431, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5691674542692046, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
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0.3308 47.5 1900 1.6127 0.1335 0.1996 0.5978 [0.5387334731682025, nan, nan, 0.706145057256972, nan, 0.3805452829707465, nan, nan, 0.2658546778188954, nan, 0.5366408339352294, nan, 0.0, nan, 0.2986894239561109, nan, nan, 0.0, 0.3182534678436318, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3294910848685419, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.36506349053449905, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.3166488305898339, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.169480302991446, nan, nan, nan, nan, 0.0, nan, 0.5215689078785062, 0.0, 0.0, nan, nan, 0.26885926398978205, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3250362673324112, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8126828574595387, nan, nan, 0.8712043522847757, nan, 0.5703844154255482, nan, nan, 0.35051785129642493, nan, 0.815507915632509, nan, 0.0, nan, 0.37198977532624783, nan, nan, 0.0, 0.6048934753661784, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3709399361347806, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5785047903815245, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6874879487871659, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2125580416145218, nan, nan, nan, nan, 0.0, nan, 0.8146028200474661, 0.0, 0.0, nan, nan, 0.3450407225912203, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.576309713232919, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
0.5381 48.0 1920 1.6024 0.1342 0.1996 0.5987 [0.537911891533424, nan, nan, 0.7037130346949583, nan, 0.3803057570790225, nan, nan, 0.26573901704076314, nan, 0.5219815595427544, nan, 0.0, nan, 0.30192647399513495, nan, nan, 0.0, 0.3403131484625542, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3414409379452946, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3662458636760009, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.3202072721194366, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.15772551569668725, nan, nan, nan, nan, 0.0, nan, 0.5401147935101388, 0.0, 0.0, nan, nan, 0.2641140246974982, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.32748128978107294, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8112581638862922, nan, nan, 0.8738955613879571, nan, 0.5436634147833267, nan, nan, 0.34823802793282704, nan, 0.8497859169971027, nan, 0.0, nan, 0.40076588956583575, nan, nan, 0.0, 0.6005326231691078, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.38942195648583866, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.569453797735456, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.7018047896340288, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.19149346775985684, nan, nan, nan, nan, 0.0, nan, 0.798743543208153, 0.0, 0.0, nan, nan, 0.34455410043198387, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5601349492145908, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
0.9554 48.5 1940 1.5848 0.1340 0.2016 0.5979 [0.5393905683855899, nan, nan, 0.6994556424663406, nan, 0.3814627252384878, nan, nan, 0.27183188935297264, nan, 0.5216945186346819, nan, 0.0, nan, 0.30131606877520695, nan, nan, 0.0, 0.3222607489597781, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3357168877628288, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.36773168222753533, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.31960598096163617, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.17388701575724214, nan, nan, nan, nan, 0.0, nan, 0.5423261436180259, 0.0, 0.0, nan, nan, 0.2591969015359225, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3224506771334252, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8015791355848197, nan, nan, 0.8791997636139259, nan, 0.5448025933514786, nan, nan, 0.36717134210127045, nan, 0.842127381858814, nan, 0.0, nan, 0.39558628509926774, nan, nan, 0.0, 0.6187749667110519, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.37976500439092675, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5890148964253966, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6975627627164398, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.22167803132200375, nan, nan, nan, nan, 0.0, nan, 0.8017311182465447, 0.0, 0.0, nan, nan, 0.33251660491403007, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5936329812052114, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
0.9957 49.0 1960 1.6008 0.1347 0.1994 0.5990 [0.537413903219235, nan, nan, 0.7077767960371097, nan, 0.37799358474487704, nan, nan, 0.26833294533449026, nan, 0.5367957611283181, nan, 0.0, nan, 0.30134897673691713, nan, nan, 0.0, 0.3324400204185809, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.33304922659075986, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3685121253302496, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.32165294946301337, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.163414924237018, nan, nan, nan, nan, 0.0, nan, 0.5438635342651237, 0.0, 0.0, nan, nan, 0.2679263245580399, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3281848821722704, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8165151524657394, nan, nan, 0.8725224363988204, nan, 0.5392252056637817, nan, nan, 0.3543628073369587, nan, 0.8294752247129903, nan, 0.0, nan, 0.3798600834118122, nan, nan, 0.0, 0.6070239680426098, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3781351911557938, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5880182097352046, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6846149396475262, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2008736944291746, nan, nan, nan, nan, 0.0, nan, 0.8, 0.0, 0.0, nan, nan, 0.345979817986238, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5778051610896431, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
0.757 49.5 1980 1.6023 0.1341 0.1996 0.5973 [0.5383051950092387, nan, nan, 0.7101409412523474, nan, 0.3811102591708989, nan, nan, 0.2662312329702349, nan, 0.5332823112369229, nan, 0.0, nan, 0.30078783628523253, nan, nan, 0.0, 0.32320121092649956, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.32105738878159074, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3634968642974692, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.32070701557512693, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.16896777078388883, nan, nan, nan, nan, 0.0, nan, 0.5433415177441401, 0.0, 0.0, nan, nan, 0.26558391026673106, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3269267184245408, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.815043404792826, nan, nan, 0.8675948296340071, nan, 0.5453263096730787, nan, nan, 0.3487650624056728, nan, 0.8233790505196333, nan, 0.0, nan, 0.3874324921681305, nan, nan, 0.0, 0.6112849533954727, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3607258225077825, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5870574396824969, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.7081099841888088, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2154586603352086, nan, nan, nan, nan, 0.0, nan, 0.7991158267020336, 0.0, 0.0, nan, nan, 0.3379804326668602, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5783435223180639, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]
0.443 50.0 2000 1.6227 0.1334 0.1984 0.5960 [0.5365101147666829, nan, nan, 0.711661090752115, nan, 0.3776627330734931, nan, nan, 0.2660109628831446, nan, 0.5413496084453225, nan, 0.0, nan, 0.2987243662199257, nan, nan, 0.0, 0.33235396098326553, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.31042539725026697, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3688677138390531, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.3201774273925985, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.151685978735316, nan, nan, nan, nan, 0.0, nan, 0.5397105453175525, 0.0, 0.0, nan, nan, 0.25895675770072946, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.32371069875363767, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan] [0.8225093219399673, nan, nan, 0.8787333646197255, nan, 0.5348710969754427, nan, nan, 0.3627234905652844, nan, 0.8209613463991535, nan, 0.0, nan, 0.39111299033268626, nan, nan, 0.0, 0.6062583222370173, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.3436652585862296, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.5783925508893857, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.6875554355790366, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.18300506438671799, nan, nan, nan, nan, 0.0, nan, 0.800009307087347, 0.0, 0.0, nan, nan, 0.32914439872283024, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5975211456326941, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan]

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.1
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Safetensors
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F32
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Finetuned from

Dataset used to train azurantham/segformer-b0-scene-parse-150

Evaluation results

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