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pls-selu-segformer-b5-scene-parse-150-cvfinal

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pls-selu-segformer-b5-scene-parse-150-cvfinal

This model is a fine-tuned version of nvidia/segformer-b5-finetuned-ade-640-640 on the scene_parse_150 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2163
  • Mean Iou: 0.6274
  • Mean Accuracy: 0.7469
  • Overall Accuracy: 0.9419
  • Per Category Iou: [0.8684873785493918, 0.9788783536367077, 0.9606746765249538, 0.9253261470034138, 0.24575056317837396, 0.9673487967886776, 0.9833182900195018, nan, 0.6999681305373191, nan, 0.8421985296271345, 0.8849884526558891, 0.9198704782156925, 0.7676457962838045, 0.4250865669787736, 0.913969296217516, 0.975721673551077, 0.5951919974185221, nan, 0.8030401455112381, 0.43452699091394975, nan, 0.9271970333053456, nan, 0.0, nan, nan, 0.9219833260201843, nan, nan, nan, nan, nan, 0.6805249921408362, nan, nan, 0.5647782862553259, 0.7019797646937672, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638416242187782, nan, nan, 0.9697628281176788, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3532369578881207, nan, 0.6765980498374865, 0.8919470287191572, nan, nan, 0.8262032085561497, 0.0, 0.8612829697167047, nan, nan, 0.7763477484016863, 0.8315092165898618, nan, nan, 0.8693196674162004, nan, nan, nan, nan, nan, nan, 0.8240366003871195, 0.0, nan, 0.9686018546354324, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09632892804698973, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8851422550052687, 0.6824877250409165, nan, nan, nan, 0.9154241645244215, nan, nan, nan, 0.22186185133239833, 0.8225932689799113, 0.0, nan, 0.9068718753063425, 0.7773776637726914, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
  • Per Category Accuracy: [0.9598187311178248, 0.9873972772341073, 0.9962340538039527, 0.9644558946742897, 0.2617230098146129, 0.9937295413000042, 0.9923026461718525, nan, 0.7355230198384526, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8383899269975219, 0.4312607318955875, 0.9671429270440867, 0.998369031064481, 0.8503918856615952, nan, 0.8516706854977609, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622012010833301, nan, nan, nan, nan, nan, 0.8897451705713111, nan, nan, 0.5998994301039222, 0.703337804374742, nan, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.9704151617223327, nan, nan, 0.9903584773113693, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.7071479122434536, 0.9857723182180411, nan, nan, 0.919845644983462, nan, 0.8755379013571665, nan, nan, 0.8064497418943217, 0.8360845641471184, nan, nan, 0.8786004968024946, nan, nan, nan, nan, nan, nan, 0.9770498643855623, 0.0, nan, 0.9719508516266766, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10282131661442007, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8851422550052687, 0.7387068201948627, nan, nan, nan, 0.9157380421738385, nan, nan, nan, 0.22270127584689836, 0.8273419050118079, nan, nan, 0.9306841046277666, 0.7942644019958671, nan, nan, nan, nan, nan, nan, nan, nan, nan, 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: 100

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Per Category Iou Per Category Accuracy
0.1696 1.0 20 0.1269 0.6721 0.7965 0.9565 [0.9135672941275217, 0.9825519725750829, 0.9682770522478501, 0.9110306258322237, 0.19175221854880808, 0.9731929353526031, 0.9846199197072778, nan, 0.8321642999001251, nan, 0.8806729926333758, 0.8467248339627556, 0.9136873281150836, 0.5747675962815405, 0.9107026007030572, 0.8487774294670847, 0.9760582258241872, 0.5338296112489661, nan, 0.7846778120434994, 0.5497866287339972, nan, 0.9038519968940955, nan, 0.0, nan, nan, 0.8969033840968513, nan, nan, nan, nan, nan, 0.6853440347797007, nan, nan, 0.6837282780410743, 0.9318723684878, 0.0, nan, nan, 0.0, 0.0, 0.4291920069504778, nan, nan, nan, 0.8979626711223346, nan, nan, 0.9895701866865907, nan, 0.09646256570535587, nan, nan, nan, nan, nan, nan, 0.34575260804769004, nan, 0.8046462080550661, 0.7515366153485922, nan, nan, 0.8324633113365508, nan, 0.7898716370669949, nan, nan, 0.8725899260956121, 0.8209644816632977, nan, nan, 0.8700244109002142, nan, nan, nan, nan, nan, nan, 0.7378111148994204, 0.0, nan, 0.9809370339259081, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7434462444771723, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9083719135802469, 0.271036315323295, nan, nan, nan, 0.9814439090371122, nan, nan, nan, 0.470176038284054, 0.8237577639751553, 0.0, nan, 0.9149274498111707, 0.9366989912772282, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9395206002456757, 0.9891615552471795, 0.990194328772556, 0.9469901930749896, 0.24034896401308614, 0.986183735067806, 0.993109664874865, nan, 0.9710125514044982, nan, 0.9953590238306305, 0.9438234867179561, 0.9632024977698483, 0.5797334404929342, 0.9427527213724224, 0.9936389881098009, 0.9993549152717723, 0.743891194098663, nan, 0.8326558732345849, 0.8926096997690531, nan, 0.978831529687043, nan, nan, nan, nan, 0.9470110295560702, nan, nan, nan, nan, nan, 0.8423140156185779, nan, nan, 0.7254441837076768, 0.9476888155179529, nan, nan, nan, 0.0, nan, 0.4391111111111111, nan, nan, nan, 0.9596404366705896, nan, nan, 0.997851783223547, nan, 0.09659980082515293, nan, nan, nan, nan, nan, nan, 0.7675765095119934, nan, 0.9265864590705355, 0.9981535112441446, nan, nan, 0.9318632855567806, nan, 0.8921549155908639, nan, nan, 0.9279334145351198, 0.8233420214306401, nan, nan, 0.9229956133396755, nan, nan, nan, nan, nan, nan, 0.9029835176298769, 0.0, nan, 0.9958636933215761, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7912225705329153, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9924130663856692, 0.271036315323295, nan, nan, nan, 0.9951568661066347, nan, nan, nan, 0.4841179058512978, 0.8352138546313304, nan, nan, 0.9261569416498994, 0.9688019757068697, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.1831 2.0 40 0.1248 0.6877 0.7875 0.9584 [0.9172140194839473, 0.9821494521728426, 0.9682313648143698, 0.9109209291746041, 0.17895339954163483, 0.9708509835171748, 0.9844997563444166, nan, 0.8506306218224482, nan, 0.8806148748159057, 0.8446081281902177, 0.9194248052726184, 0.6330935251798561, 0.917229910135331, 0.8438263604105136, 0.9748195031586947, 0.5588631012445341, nan, 0.7910762833839757, 0.5737963693764798, nan, 0.9132947976878613, nan, 0.0, nan, nan, 0.9044381750164676, nan, nan, nan, nan, nan, 0.7094443992516066, nan, nan, 0.6580006439150032, 0.891798382078407, 0.0, nan, nan, 0.0, nan, 0.48442622950819675, nan, nan, nan, 0.9011837166778943, nan, nan, 0.9890751724972764, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.413867047891351, nan, 0.7979035120300442, 0.8356403928810734, nan, nan, 0.8065164923572004, nan, 0.9018156512937306, nan, nan, 0.868433236199243, 0.6597161888213148, nan, nan, 0.8863738795132455, nan, nan, nan, nan, nan, nan, 0.7635009310986964, 0.0, nan, 0.9807468111370182, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7605790645879733, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9159864622735417, 0.3029229406554473, nan, nan, nan, 0.9808758197588322, nan, nan, nan, 0.3184564917127072, 0.8988336713995944, 0.0, nan, 0.8979420802681813, 0.9294648550546917, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9517911091929219, 0.9877480693536655, 0.9920979575649415, 0.9460120842576154, 0.2043620501635769, 0.9840581558474685, 0.9915852962136192, nan, 0.932340294428891, nan, 0.997757730614799, 0.9487588909856293, 0.9506145306769749, 0.6601031411157994, 0.9470533562280439, 0.9715956353672262, 0.9991693012697823, 0.7660212079299217, nan, 0.8519807096107475, 0.8394919168591224, nan, 0.9762357414448669, nan, nan, nan, nan, 0.9521267548507805, nan, nan, nan, nan, nan, 0.8961364570489108, nan, nan, 0.6851324170298357, 0.9241642591828312, nan, nan, nan, 0.0, nan, 0.5253333333333333, nan, nan, nan, 0.9500629032912625, nan, nan, 0.998248846987915, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.47890818858560796, nan, 0.9121962727058268, 0.993838558572567, nan, nan, 0.8842337375964718, nan, 0.9437272426348892, nan, nan, 0.9247723449915898, 0.6597161888213148, nan, nan, 0.9354685270334548, nan, nan, nan, nan, nan, nan, 0.9409555601919466, 0.0, nan, 0.9955852322829164, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8564263322884013, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9696522655426765, 0.3029229406554473, nan, nan, nan, 0.9936139207954741, nan, nan, nan, 0.3245930488341399, 0.9302020467069011, nan, nan, 0.9701207243460764, 0.9550425885792047, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.1655 3.0 60 0.1231 0.6705 0.7841 0.9596 [0.9221198627730325, 0.9816427249944908, 0.9677609064133385, 0.922621508718402, 0.19513746554526823, 0.9743198629278281, 0.9845204417929398, nan, 0.8511589973621501, nan, 0.8628781623001276, 0.8811161328355276, 0.9250830360437938, 0.7085691977357017, 0.9107827038861521, 0.8539530693663936, 0.9754312970860514, 0.5834205933682374, nan, 0.8120402991532233, 0.5976430976430976, nan, 0.9110754852133575, nan, 0.0, nan, nan, 0.9237793817786062, nan, nan, nan, nan, nan, 0.6821855650612091, nan, nan, 0.6447014743015395, 0.8380763962867144, 0.0, nan, nan, 0.0, nan, 0.43739279588336194, nan, nan, nan, 0.9041428489494714, nan, nan, 0.9903678023832867, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.2640877246420956, nan, 0.7677694337324944, 0.8654748913024649, nan, nan, 0.8086072450893298, 0.0, 0.8869372225745086, nan, nan, 0.8887636123638764, 0.6017955401100492, nan, nan, 0.8746488225979465, nan, nan, nan, nan, nan, nan, 0.7643256464011181, 0.0, nan, 0.9818548387096774, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6197695573074591, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9088738559490649, 0.39681133746678476, nan, nan, nan, 0.9860363822700486, nan, nan, nan, 0.3377597654565836, 0.8339788277820811, 0.0, nan, 0.9108986615678776, 0.9245089416593374, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9583911556721224, 0.9881246550114265, 0.9925226386410205, 0.955398237927738, 0.20072700836059615, 0.9911363346511924, 0.995332505863864, nan, 0.8947128715523823, nan, 0.9989744659401019, 0.976339091304979, 0.9317078005748836, 0.7293550331525015, 0.943682162604956, 0.9740421784019181, 0.9987189591010197, 0.7706316274781005, nan, 0.905132621426111, 0.8198614318706697, nan, 0.976528224627084, nan, nan, nan, nan, 0.9661786447907262, nan, nan, nan, nan, nan, 0.8898273736128237, nan, nan, 0.6633422728796513, 0.8523008666941808, nan, nan, nan, 0.0, nan, 0.4533333333333333, nan, nan, nan, 0.9596404366705896, nan, nan, 0.9976074362916281, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.71712158808933, nan, 0.8923802783675395, 0.9711170285136738, nan, nan, 0.9031973539140022, nan, 0.9259847732538894, nan, nan, 0.9372716199756395, 0.6017955401100492, nan, nan, 0.9049733100787485, nan, nan, nan, nan, nan, nan, 0.9127894846651367, 0.0, nan, 0.9944771893999165, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6407523510971787, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9626975763962066, 0.39681133746678476, nan, nan, nan, 0.989670838333619, nan, nan, nan, 0.3446546414430268, 0.8475465757019155, nan, nan, 0.9585513078470825, 0.9536313693866236, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0718 4.0 80 0.1275 0.6694 0.7799 0.9578 [0.9134599769265975, 0.9805005224446312, 0.9674469858944971, 0.9272356655326462, 0.1936352682684811, 0.9758118795221269, 0.9829411626981339, nan, 0.7762851811140367, nan, 0.8531686534150795, 0.8562007810999424, 0.9227758357540249, 0.7198100407055631, 0.9047094838116206, 0.8656481542193954, 0.9754753072280017, 0.6145045211293597, nan, 0.8196726471514006, 0.6182634730538922, nan, 0.9099145124484861, nan, 0.0, nan, nan, 0.9272715831865089, nan, nan, nan, nan, nan, 0.6974937945391945, nan, nan, 0.6409921671018277, 0.8422032860495969, 0.0, nan, nan, 0.0, nan, 0.36837455830388693, nan, nan, nan, 0.9071361012990522, nan, nan, 0.9878809247972599, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.37797619047619047, nan, 0.7633354551241247, 0.8615868996081518, nan, nan, 0.8135490394337714, nan, 0.8869330592316588, nan, nan, 0.8970246078887582, 0.6938893715609615, nan, nan, 0.8847610275304473, nan, nan, nan, nan, nan, nan, 0.7708590580349268, 0.0, nan, 0.981798333812123, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.47213622291021673, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9172468669186393, 0.44729849424269263, nan, nan, nan, 0.9738002482983005, nan, nan, nan, 0.2739821771798008, 0.8330749354005168, 0.0, nan, 0.8943535514764565, 0.9158512720156555, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan] [0.9585936721888384, 0.9875262449251213, 0.9952045739969595, 0.9637287722704305, 0.19861868411486733, 0.9861412234833993, 0.990660292320108, nan, 0.8135640898557325, nan, 0.9989744659401019, 0.9706053128175351, 0.9288581623550402, 0.7816623133078829, 0.9450999543156005, 0.9689778343201056, 0.9977726319761197, 0.7676348547717843, nan, 0.897037547364795, 0.953810623556582, nan, 0.9767475870137468, nan, nan, nan, nan, 0.9640198348837513, nan, nan, nan, nan, nan, 0.895088368269626, nan, nan, 0.6583975863224941, 0.8515012381345439, nan, nan, nan, 0.0, nan, 0.37066666666666664, nan, nan, nan, 0.9536138955399537, nan, nan, 0.9983812015760377, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.7353184449958643, nan, 0.848690728945506, 0.9786779140508076, nan, nan, 0.8871003307607497, nan, 0.9140019860973188, nan, nan, 0.9503799083579839, 0.6938893715609615, nan, nan, 0.9137994820569737, nan, nan, nan, nan, nan, nan, 0.9117462966826622, 0.0, nan, 0.9913329001717176, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.4780564263322884, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.9717597471022128, 0.44729849424269263, nan, nan, nan, 0.9749271386936397, nan, nan, nan, 0.27593488781346237, 0.845972185778011, nan, nan, 0.9019114688128773, 0.9435008316113099, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
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0.0313 95.0 1900 0.2158 0.6279 0.7476 0.9422 [0.8694178628389154, 0.9781276178411622, 0.9606868994053226, 0.9264262670854911, 0.25775850386231197, 0.9671093459103884, 0.9836064038947664, nan, 0.7011261948342485, nan, 0.8548303182554665, 0.883655235842859, 0.9229892029600874, 0.7705717420455931, 0.4324987193616988, 0.913355982343017, 0.97573719206842, 0.5946640951462552, nan, 0.8010919428829877, 0.4369296833064949, nan, 0.9268028257676436, nan, 0.0, nan, nan, 0.9212744606121425, nan, nan, nan, nan, nan, 0.6795679284499591, nan, nan, 0.561059998427302, 0.7034500514933059, 0.0, nan, nan, 0.0, nan, 0.224, nan, nan, nan, 0.8673717878820921, nan, nan, 0.9695371119703464, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3625694873378629, nan, 0.6770975056689342, 0.890578256431915, nan, nan, 0.825042200377321, 0.0, 0.8490258682478661, nan, nan, 0.7765179020275932, 0.8431203223949338, nan, nan, 0.8667433711625961, nan, nan, nan, nan, nan, nan, 0.8211967011756448, 0.0, nan, 0.9679582798533782, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07428233205090264, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8839022334597556, 0.6948738812042311, nan, nan, nan, 0.922579263067695, nan, nan, nan, 0.21988427143608627, 0.8255419169495952, 0.0, nan, 0.9055899400726987, 0.7889700078926598, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9603919745913704, 0.9878409260911957, 0.9959911428382576, 0.9666557167692144, 0.2765539803707743, 0.9937507970922076, 0.9916324902898188, nan, 0.7388718470791529, nan, 0.9995828336027534, 0.9762665118304543, 0.9426355436614134, 0.8466947960618847, 0.43891680713306763, 0.9668738073102706, 0.998411630999364, 0.8529276164130936, nan, 0.8541853255253187, 0.9399538106235565, nan, 0.9688871014916642, nan, nan, nan, nan, 0.960918998835551, nan, nan, nan, nan, nan, 0.8869297163995068, nan, nan, 0.5979718404290982, 0.7047565002063557, nan, nan, nan, 0.0, nan, 0.224, nan, nan, nan, 0.9684671888316221, nan, nan, 0.9879760947251606, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4855252274607113, nan, 0.704411417787214, 0.983653715329744, nan, nan, 0.9160970231532525, nan, 0.8626282687851705, nan, nan, 0.8063337393422655, 0.8482479003764842, nan, nan, 0.8759050790127372, nan, nan, nan, nan, nan, nan, 0.9764239515960776, 0.0, nan, 0.9712488977583886, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0786833855799373, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8840885142255005, 0.7564216120460585, nan, nan, nan, 0.9228955940339448, nan, nan, nan, 0.22067751869775626, 0.829441091577014, nan, nan, 0.927364185110664, 0.8061085630764578, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0272 96.0 1920 0.2180 0.6272 0.7464 0.9421 [0.8691294272357691, 0.9785377877097258, 0.960382761707265, 0.925714002800843, 0.24600246002460024, 0.9664634776319868, 0.9835711177348637, nan, 0.7014044657422512, nan, 0.8435959868575452, 0.8831006322444679, 0.9252186198328989, 0.7701058522934664, 0.4364362032550627, 0.9129368201805138, 0.9757069607528225, 0.5956770502225047, nan, 0.8010965973230124, 0.4396082698585419, nan, 0.9262329485834208, nan, 0.0, nan, nan, 0.9233680464177851, nan, nan, nan, nan, nan, 0.6815085273523321, nan, nan, 0.5649650127226463, 0.7027110527535336, 0.0, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.8634319056307243, nan, nan, 0.9698190338501421, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3450255102040816, nan, 0.6764599366229063, 0.8922696068964306, nan, nan, 0.8259229853116316, 0.0, 0.854406879030682, nan, nan, 0.7736455335438264, 0.8346297896859695, nan, nan, 0.869971789781632, nan, nan, nan, nan, nan, nan, 0.8216986108668894, 0.0, nan, 0.967741935483871, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.08184218245819888, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8811380400421497, 0.6819296811120196, nan, nan, nan, 0.9159166880946259, nan, nan, nan, 0.217768812489037, 0.817398119122257, 0.0, nan, 0.9067006769351516, 0.7952585144659667, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.959596294943727, 0.9871496592673603, 0.996404256725494, 0.9661721988255312, 0.2617230098146129, 0.9941759129362752, 0.9920100428994153, nan, 0.7372108287677656, nan, 0.9996871252020649, 0.973218173900421, 0.9411983348201011, 0.8478333668207086, 0.44271333826934894, 0.9651122963252924, 0.9982381884073406, 0.863992623328723, nan, 0.8555976575955908, 0.9330254041570438, nan, 0.9681558935361216, nan, nan, nan, nan, 0.9640329185801573, nan, nan, nan, nan, nan, 0.8860871352240033, nan, nan, 0.5954575930271538, 0.704034255055716, nan, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.9698672943468203, nan, nan, 0.9902973905783895, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.44747725392886684, nan, 0.7050247699929229, 0.9877937374876091, nan, nan, 0.9175303197353915, nan, 0.8683217477656405, nan, nan, 0.8029696653326374, 0.8389805965826818, nan, nan, 0.8801331853496115, nan, nan, nan, nan, nan, nan, 0.9749634884206134, 0.0, nan, 0.9709588341764515, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.08746081504702194, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8811380400421497, 0.7387068201948627, nan, nan, nan, 0.9159951997256987, nan, nan, nan, 0.21847778266608006, 0.82104434531619, nan, nan, 0.9297786720321931, 0.8132150597248122, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0358 97.0 1940 0.2204 0.6268 0.7468 0.9412 [0.8666970409093089, 0.9788155526466498, 0.960347019335846, 0.9252616003285049, 0.2505097186353133, 0.9667541919077056, 0.9835645158271092, nan, 0.6953620414673046, nan, 0.8428766139551244, 0.8851007598282128, 0.9212364357009933, 0.7691418840844129, 0.3932271844660194, 0.9126873958911715, 0.9757001341236019, 0.5931696569090337, nan, 0.8041059344091619, 0.4366576819407008, nan, 0.9270811454176293, nan, 0.0, nan, nan, 0.9229564476519821, nan, nan, nan, nan, nan, 0.6799578622977626, nan, nan, 0.5646253085928168, 0.7010763209393346, 0.0, nan, nan, 0.0, nan, 0.24266666666666667, nan, nan, nan, 0.863072786009493, nan, nan, 0.9703511027396577, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.35709895513214507, nan, 0.6771920314405746, 0.893509145643716, nan, nan, 0.8263930200277613, 0.0, 0.864162978391044, nan, nan, 0.7753876239698282, 0.829057365234938, nan, nan, 0.8695924764890283, nan, nan, nan, nan, nan, nan, 0.8195198878570177, 0.0, nan, 0.9672023083283701, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09663120567375887, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8805057955742888, 0.6787181594083813, nan, nan, nan, 0.9150632097707306, nan, nan, nan, 0.22194950911640954, 0.8251565762004175, 0.0, nan, 0.9079268888671684, 0.7813501651955225, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9599415690050132, 0.9875056100945591, 0.9961894375041311, 0.964743790854498, 0.26797528171573975, 0.9938995876376313, 0.9918873383012964, nan, 0.7300309431637041, nan, 0.9996697432688464, 0.9722746407316011, 0.9445435622955695, 0.8470296698144799, 0.3987775484805999, 0.9651612271859862, 0.9983173025721233, 0.8688335638543108, nan, 0.8513606613847744, 0.9353348729792148, nan, 0.968229014331676, nan, nan, nan, nan, 0.963784328348445, nan, nan, nan, nan, nan, 0.8887381833127825, nan, nan, 0.5942004693261816, 0.702306025588114, nan, nan, nan, 0.0, nan, 0.24266666666666667, nan, nan, nan, 0.9703745789537762, nan, nan, 0.9912951405503915, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.48056244830438377, nan, 0.7072894550601557, 0.9864914769966374, nan, nan, 0.9189636163175303, nan, 0.8789804700430321, nan, nan, 0.8049127080795777, 0.8328989284679988, nan, nan, 0.8796575233867132, nan, nan, nan, nan, nan, nan, 0.975798038806593, 0.0, nan, 0.9703613031976609, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10250783699059561, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8805057955742888, 0.7316209034543845, nan, nan, nan, 0.9151808674781416, nan, nan, nan, 0.22278926528816542, 0.8297034898976646, nan, nan, 0.9345070422535211, 0.7985988609445088, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0094 98.0 1960 0.2193 0.6398 0.7481 0.9418 [0.8682870954434952, 0.9781546700460924, 0.9602960593902654, 0.9259781134827602, 0.2465071900770122, 0.966499266331866, 0.9833646942080677, nan, 0.7049182413946682, nan, 0.847662986601418, 0.8831996845011174, 0.9232748367678827, 0.7646734806291695, 0.41091614906832297, 0.9126312381480968, 0.9757202294741664, 0.5932605600379687, nan, 0.8038126009693053, 0.4271488469601677, nan, 0.9273019871256647, nan, 0.0, nan, nan, 0.9230095909767291, nan, nan, nan, nan, nan, 0.6795656621291998, nan, nan, 0.5670152470663367, 0.703589268242443, 0.0, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.8639460700150007, nan, nan, 0.969120548436597, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.34181141439205953, nan, 0.6763949659434345, 0.8914845780931637, nan, nan, 0.8270468270468271, 0.0, 0.8549459142447543, nan, nan, 0.7733638981297699, 0.8361175115207373, nan, nan, 0.8674478213108752, nan, nan, nan, nan, nan, nan, 0.8207464517259506, 0.0, nan, 0.9673528391349601, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.12452499269219526, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8902002107481559, 0.6881107491856677, nan, nan, nan, 0.9134495908136595, nan, nan, nan, 0.22168653576437589, 0.8224079394097675, 0.0, nan, 0.9044305038227799, 0.8014093529788597, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9596848267543132, 0.9874746578487157, 0.9962968471148126, 0.9653712568882852, 0.26295892402762633, 0.9940483781830549, 0.9914909080612202, nan, 0.7420465353033368, nan, 0.9996002155359719, 0.9752503991871099, 0.9425612052730696, 0.8367825329850647, 0.4168780226531609, 0.9655037432108431, 0.9983081740146483, 0.8644536652835408, nan, 0.8569755425421978, 0.941108545034642, nan, 0.9690699034805499, nan, nan, nan, nan, 0.9657599665057373, nan, nan, nan, nan, nan, 0.8874434854089601, nan, nan, 0.5952899765336909, 0.7048596780850186, nan, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.9699890426524898, nan, nan, 0.99020576047892, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4557485525227461, nan, 0.7074781788157585, 0.9864914769966374, nan, nan, 0.9210584343991179, nan, 0.8685865607414763, nan, nan, 0.8022736500203005, 0.8407182160440196, nan, nan, 0.8764335923048465, nan, nan, nan, nan, nan, nan, 0.9772585019820572, 0.0, nan, 0.970517937531907, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1335423197492163, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8902002107481559, 0.7484499557130204, nan, nan, nan, 0.9137236413509343, nan, nan, nan, 0.22252529696436427, 0.8262923117292049, nan, nan, 0.9282696177062374, 0.8196663474623255, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0289 99.0 1980 0.2196 0.6275 0.7469 0.9419 [0.8687614711987753, 0.9788782084057674, 0.9604680803606991, 0.9255546437263003, 0.2485864159683902, 0.9668768737723561, 0.9835624388622887, nan, 0.7038775068991391, nan, 0.8438669347146609, 0.8839997365127462, 0.9218185783874173, 0.7696892294593444, 0.4203888923401876, 0.9134450669012454, 0.9757158703300036, 0.5945471938775511, nan, 0.8042230222827673, 0.4375, nan, 0.9274515293623574, nan, 0.0, nan, nan, 0.9220719085937402, nan, nan, nan, nan, nan, 0.6825751100136132, nan, nan, 0.5630975143403442, 0.7031563771175532, 0.0, nan, nan, 0.0, nan, 0.2328888888888889, nan, nan, nan, 0.8630169130521109, nan, nan, 0.970032488888003, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3373879641485275, nan, 0.6773581496205276, 0.8921941556961803, nan, nan, 0.8272872234403029, 0.0, 0.858119101854865, nan, nan, 0.773250936748504, 0.8340535868625756, nan, nan, 0.870494201232891, nan, nan, nan, nan, nan, nan, 0.8219803370786517, 0.0, nan, 0.9675971968452945, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10764294049008168, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8878819810326659, 0.6884176182707994, nan, nan, nan, 0.9150814053127678, nan, nan, nan, 0.225124923292715, 0.8215778474399164, 0.0, nan, 0.9079502009606901, 0.778462904498816, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9596361342584907, 0.9876294190779326, 0.996194394870778, 0.9657735733452428, 0.265285350781534, 0.9939846108064447, 0.9917599142955577, nan, 0.7414035604731223, nan, 0.9995828336027534, 0.9740165481201916, 0.9425364258102884, 0.8476324425691514, 0.4264087335969376, 0.9653814160591084, 0.998369031064481, 0.859612724757953, nan, 0.8541164312779883, 0.9376443418013857, nan, 0.9688871014916642, nan, nan, nan, nan, 0.9640067511873455, nan, nan, nan, nan, nan, 0.8861693382655158, nan, nan, 0.5923566878980892, 0.7044985555096988, nan, nan, nan, 0.0, nan, 0.2328888888888889, nan, nan, nan, 0.9701716651109938, nan, nan, 0.9909795257633296, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4358974358974359, nan, 0.7074309978768577, 0.9892709284922934, nan, nan, 0.9152149944873208, nan, 0.8728897715988083, nan, nan, 0.801954643002146, 0.838401390095569, nan, nan, 0.8806616986417208, nan, nan, nan, nan, nan, nan, 0.9768412267890674, 0.0, nan, 0.9708080011138441, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.11567398119122257, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8878819810326659, 0.7475642161204605, nan, nan, nan, 0.915395165438025, nan, nan, nan, 0.22595688517377915, 0.8252427184466019, nan, nan, 0.9317907444668008, 0.7953732170757523, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0231 100.0 2000 0.2163 0.6274 0.7469 0.9419 [0.8684873785493918, 0.9788783536367077, 0.9606746765249538, 0.9253261470034138, 0.24575056317837396, 0.9673487967886776, 0.9833182900195018, nan, 0.6999681305373191, nan, 0.8421985296271345, 0.8849884526558891, 0.9198704782156925, 0.7676457962838045, 0.4250865669787736, 0.913969296217516, 0.975721673551077, 0.5951919974185221, nan, 0.8030401455112381, 0.43452699091394975, nan, 0.9271970333053456, nan, 0.0, nan, nan, 0.9219833260201843, nan, nan, nan, nan, nan, 0.6805249921408362, nan, nan, 0.5647782862553259, 0.7019797646937672, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638416242187782, nan, nan, 0.9697628281176788, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3532369578881207, nan, 0.6765980498374865, 0.8919470287191572, nan, nan, 0.8262032085561497, 0.0, 0.8612829697167047, nan, nan, 0.7763477484016863, 0.8315092165898618, nan, nan, 0.8693196674162004, nan, nan, nan, nan, nan, nan, 0.8240366003871195, 0.0, nan, 0.9686018546354324, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09632892804698973, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8851422550052687, 0.6824877250409165, nan, nan, nan, 0.9154241645244215, nan, nan, nan, 0.22186185133239833, 0.8225932689799113, 0.0, nan, 0.9068718753063425, 0.7773776637726914, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9598187311178248, 0.9873972772341073, 0.9962340538039527, 0.9644558946742897, 0.2617230098146129, 0.9937295413000042, 0.9923026461718525, nan, 0.7355230198384526, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8383899269975219, 0.4312607318955875, 0.9671429270440867, 0.998369031064481, 0.8503918856615952, nan, 0.8516706854977609, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622012010833301, nan, nan, nan, nan, nan, 0.8897451705713111, nan, nan, 0.5998994301039222, 0.703337804374742, nan, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.9704151617223327, nan, nan, 0.9903584773113693, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.7071479122434536, 0.9857723182180411, nan, nan, 0.919845644983462, nan, 0.8755379013571665, nan, nan, 0.8064497418943217, 0.8360845641471184, nan, nan, 0.8786004968024946, nan, nan, nan, nan, nan, nan, 0.9770498643855623, 0.0, nan, 0.9719508516266766, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10282131661442007, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8851422550052687, 0.7387068201948627, nan, nan, nan, 0.9157380421738385, nan, nan, nan, 0.22270127584689836, 0.8273419050118079, nan, nan, 0.9306841046277666, 0.7942644019958671, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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Inference API
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Dataset used to train az00/pls-selu-segformer-b5-scene-parse-150-cvfinal

Evaluation results

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