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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: 1.7293
  • Mean Iou: 0.1237
  • Mean Accuracy: 0.1909
  • Overall Accuracy: 0.5750
  • Per Category Iou: [0.5194973138518036, nan, nan, 0.7044669379850034, nan, 0.34772332290580465, nan, nan, 0.5564015598824595, nan, 0.4062946652059406, nan, 0.0, nan, 0.4247729319128107, 0.0, nan, nan, 0.046667038441519815, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13739290398405696, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.19611110736285312, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1343402763679673, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.31478245182821646, 0.0, nan, nan, nan, 0.00016383370878558264, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.045484961930081565, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
  • Per Category Accuracy: [0.6653449483980128, nan, nan, 0.8913306234632802, nan, 0.6243524932908944, nan, nan, 0.6636340558644579, nan, 0.573746977582886, nan, nan, nan, 0.5385355015418798, 0.0, nan, nan, 0.08630410120664168, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4259491999788773, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.33494273005922887, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2713282125577454, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3631361939570516, 0.0, nan, nan, nan, 0.00016383370878558264, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09710049805026832, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 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
3.9786 1.0 20 3.8216 0.0800 0.1800 0.4802 [0.4198867018051586, nan, nan, 0.6407079944941267, nan, 0.30962178151724773, nan, nan, 0.4547464711940389, nan, 0.18428573788637226, nan, 0.0, nan, 0.3772855265627933, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.129621402176718, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0004865285646326169, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.06718202320463006, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.2111141644989704, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.00453621148130768, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.4610940999997382, nan, nan, 0.9421738014620052, nan, 0.9593441570599406, nan, nan, 0.4917579043048879, nan, 0.3428650465144871, nan, nan, nan, 0.5004386216935778, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.5145799229022548, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0005185407112073933, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2703441489216303, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7294330346110324, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.006717887340257133, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
3.7257 2.0 40 3.5413 0.0893 0.1773 0.5085 [0.4796213122176483, nan, nan, 0.569710555487129, nan, 0.37797245678582847, nan, nan, 0.385562411285884, nan, 0.2071438459237031, nan, nan, nan, 0.3376899057647339, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.12735592007042368, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.00018219816730078773, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09635303820293825, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.1857725674091442, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.5426066529782728, nan, nan, 0.9573154073497636, nan, 0.9589786111036813, nan, nan, 0.43597533512942505, nan, 0.4752674070734806, nan, nan, nan, 0.46192802007316747, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.41713048529334107, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.00019589315756723746, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.37684170243009046, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5152764590351573, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
3.5889 3.0 60 3.3521 0.0943 0.1822 0.4964 [0.44671302852086087, nan, nan, 0.6441959559067476, nan, 0.33197889313404605, nan, nan, 0.36668600855878725, nan, 0.22550499548694325, nan, nan, nan, 0.3607435243591464, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13298052198255864, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.01648341159851869, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09146424531039915, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.21127065071792822, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.5012814326216009, nan, nan, 0.9242961098739165, nan, 0.9513288932873281, nan, nan, 0.41398822440774014, nan, 0.593848612761772, nan, nan, nan, 0.5148346070600854, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.3572054707715055, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.019900440183448182, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.4221086296913867, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5846676118257612, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
3.2848 4.0 80 3.2736 0.0990 0.1883 0.5019 [0.4459821396967382, nan, nan, 0.6207351493092033, nan, 0.3891790103084778, nan, nan, 0.35121012672244944, nan, 0.21693460283339402, nan, nan, nan, 0.3868444117143702, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.1345446628133643, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.05449012125018115, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.12897355238553856, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.2425876195434741, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.4947560304123185, nan, nan, 0.9367554411265554, nan, 0.8936707055036955, nan, nan, 0.415552298205819, nan, 0.628642268759477, nan, nan, nan, 0.5714915052960218, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4176902360458362, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.07798852296559194, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5637317879889566, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.46058296372410024, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
2.9269 5.0 100 2.9183 0.1002 0.1773 0.5445 [0.5279435318956285, nan, nan, 0.5951721583063695, nan, 0.3553062034603592, nan, nan, 0.31959348076265126, nan, 0.2231862410152919, nan, nan, nan, 0.3985381992705846, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.12884859419861272, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.028723640779189683, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.17658325610132838, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.2532118069798349, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6319186235746953, nan, nan, 0.9509781195930228, nan, 0.9257139290840845, nan, nan, 0.33657066583686135, nan, 0.43170361870415147, nan, nan, nan, 0.5140531326016587, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.3635317104081956, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.038706183309902976, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5468660306699833, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.401454157616118, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
2.6513 6.0 120 3.0232 0.1023 0.1836 0.5146 [0.4763877012699381, nan, nan, 0.6203459387996805, nan, 0.3693264502688378, nan, nan, 0.3772483182723677, nan, 0.2666202282286546, nan, nan, nan, 0.32110191304347824, 0.0, nan, nan, 0.009869430107096653, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13650858844410543, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0865154967469185, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.13516322402241895, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.269214884083382, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0007184179680114947, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.5503249175598591, nan, nan, 0.9322932620267731, nan, 0.859835415162133, nan, nan, 0.4280075665140808, nan, 0.6156817343551494, nan, nan, nan, 0.4420540519833745, 0.0, nan, nan, 0.01271958472274743, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4914294766858531, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.14526053789956442, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3981630812125851, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.44934510880168566, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0007335624107177329, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
2.9523 7.0 140 2.9515 0.1075 0.1892 0.5202 [0.45098753912967615, nan, nan, 0.6051129014622386, nan, 0.3367778830648513, nan, nan, 0.405201250970518, nan, 0.3054317548746518, nan, nan, nan, 0.429385138438927, 0.0, nan, nan, 0.033813166295247846, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13324643297516295, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.10452139823587063, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.15470055825322895, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.2645047716112295, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0021850233316050662, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.532281019875513, nan, nan, 0.939214192875415, nan, 0.9030857428161304, nan, nan, 0.4572827698027302, nan, 0.5617085365353879, nan, nan, nan, 0.5752456473021893, 0.0, nan, nan, 0.04824847880642167, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.3994508105824576, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.18433546127077044, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.512068447092912, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3713174563947817, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.002277904328018223, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
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1.7742 30.0 600 1.8306 0.1234 0.1977 0.5704 [0.5079305819206281, nan, nan, 0.6844006547349558, nan, 0.3324820597494262, nan, nan, 0.5305967040691468, nan, 0.39659824125843546, nan, 0.0, nan, 0.5222298496570746, 0.0, nan, nan, 0.07746855216640632, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.14712055362902615, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.19870039539561493, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.12016351482319028, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.26438011110727716, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.04411700021992523, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6173424911189782, nan, nan, 0.8947952282003097, nan, 0.653498096486301, nan, nan, 0.6675810902658925, nan, 0.6039301667964427, nan, nan, nan, 0.6469612518914364, 0.0, nan, nan, 0.12956787789198665, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.5130379679991551, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.36539835449747643, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2643577618019299, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.29897376533173786, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0774487471526196, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
1.0007 31.0 620 1.7903 0.1260 0.1938 0.5843 [0.5307466542323287, nan, nan, 0.7115300248155578, nan, 0.345585489194618, nan, nan, 0.5441693162922404, nan, 0.39158243555143946, nan, 0.0, nan, 0.4622300127938188, 0.0, nan, nan, 0.08470204534069471, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13946529250544007, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.20064555581473054, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.13681045121207394, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3222098462909334, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.03489059727971614, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6783844088437612, nan, nan, 0.8794590746152509, nan, 0.6105063257281943, nan, nan, 0.6404841258792797, nan, 0.5544957173886316, nan, nan, nan, 0.5646804190848321, 0.0, nan, nan, 0.13659802674550517, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.47991762158736867, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3667465603466157, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2636470491758467, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3762600314763992, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0683371298405467, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
1.3284 32.0 640 1.8145 0.1287 0.2010 0.5842 [0.5192500726510545, nan, nan, 0.7049099120975183, nan, 0.3423862558546578, nan, nan, 0.5278006416280502, nan, 0.43408617766363095, nan, 0.0, nan, 0.4964408197899848, 0.0, nan, nan, 0.08980982224355175, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.1356179918582326, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.19908685955059652, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.14308645131963976, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.35317639542184864, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.04361614410452652, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6455008494890413, nan, nan, 0.9012194415239294, nan, 0.6243792405559865, nan, nan, 0.6668768476133544, nan, 0.6216650956927995, nan, nan, nan, 0.6454595950889693, 0.0, nan, nan, 0.1640482656674344, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4155251623805249, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3713212417321564, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.27534647240521554, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.41701026234668265, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07964943438477279, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
1.1653 33.0 660 1.7478 0.1258 0.1887 0.5999 [0.5494416329120891, nan, nan, 0.7113240497585706, nan, 0.3481276076638407, nan, nan, 0.5525964081859948, nan, 0.4048768986210516, nan, 0.0, nan, 0.39329058482277807, 0.0, nan, nan, 0.07192039677362573, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.14560752807957955, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.2091592878225269, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.13843012163129026, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.32389194859690534, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.05226497574098093, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.7403835833515855, nan, nan, 0.9036988898363316, nan, 0.6055491659311169, nan, nan, 0.650081479237125, nan, 0.5453874841195033, nan, nan, nan, 0.4685015993411098, 0.0, nan, nan, 0.11939221011378871, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.3520092939747584, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.37971007812680047, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.25386108301670174, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.36945748735090983, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.08401220030114667, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
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0.5782 48.0 960 1.7423 0.1239 0.1913 0.5720 [0.5154453328597143, nan, nan, 0.7053634276466835, nan, 0.34938426332320216, nan, nan, 0.553065890667221, nan, 0.40569057157447297, nan, 0.0, nan, 0.42533648984929856, 0.0, nan, nan, 0.055352769515158905, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13695884427384206, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.1881598973511968, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.13673384870237437, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3268801694800658, 0.0, nan, nan, nan, 8.191685439279132e-05, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.04198142414860681, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6584417046326168, nan, nan, 0.8876590530908248, nan, 0.6139121441499273, nan, nan, 0.6536682034442379, nan, 0.5779066431703619, nan, nan, nan, 0.5382137179413511, 0.0, nan, nan, 0.10139571659390148, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4589744943760891, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.3176810859394805, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.27075417543667823, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.377300573598845, 0.0, nan, nan, nan, 8.191685439279132e-05, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0916180842438516, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
0.9024 49.0 980 1.7273 0.1243 0.1924 0.5733 [0.5155469511609068, nan, nan, 0.7075002228965991, nan, 0.34951576733017126, nan, nan, 0.5555047280920357, nan, 0.40696828996148726, nan, 0.0, nan, 0.4339558533372278, 0.0, nan, nan, 0.04773232568140022, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.1381459950476216, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.19573223930895312, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1354403360187289, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3201033720037918, 0.0, nan, nan, nan, 4.095842719639566e-05, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.04693866843881709, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6552941884827261, nan, nan, 0.8868601657380808, nan, 0.6280881946487639, nan, nan, 0.6662626825093967, nan, 0.5792180648334084, nan, nan, nan, 0.5577582409163171, 0.0, nan, nan, 0.08967307229536939, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.43719702170354335, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.33865317692609065, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.26884071836645435, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.36893721628968695, 0.0, nan, nan, nan, 4.095842719639566e-05, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1036253426508629, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
0.9524 50.0 1000 1.7293 0.1237 0.1909 0.5750 [0.5194973138518036, nan, nan, 0.7044669379850034, nan, 0.34772332290580465, nan, nan, 0.5564015598824595, nan, 0.4062946652059406, nan, 0.0, nan, 0.4247729319128107, 0.0, nan, nan, 0.046667038441519815, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.13739290398405696, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.19611110736285312, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1343402763679673, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.31478245182821646, 0.0, nan, nan, nan, 0.00016383370878558264, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.045484961930081565, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] [0.6653449483980128, nan, nan, 0.8913306234632802, nan, 0.6243524932908944, nan, nan, 0.6636340558644579, nan, 0.573746977582886, nan, nan, nan, 0.5385355015418798, 0.0, nan, nan, 0.08630410120664168, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.4259491999788773, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.33494273005922887, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.2713282125577454, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.3631361939570516, 0.0, nan, nan, nan, 0.00016383370878558264, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09710049805026832, 0.0, nan, nan, nan, nan, nan, nan, nan, 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, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]

Framework versions

  • Transformers 4.35.2
  • Pytorch 1.12.1
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Safetensors
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Finetuned from

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

Evaluation results

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