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

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pls-relu-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: 0.9418
  • Per Category Iou: [0.8684705920049987, 0.9788583293272919, 0.9606747391887004, 0.9253111886254581, 0.24568229913304662, 0.9673287812952618, 0.9833414396887159, nan, 0.7001172811177401, nan, 0.8421861956856026, 0.8851052596845509, 0.9197815739241791, 0.7674147657591366, 0.4244409937888199, 0.9139732741480556, 0.975721673551077, 0.595, nan, 0.802955985057658, 0.43452699091394975, nan, 0.9271645968165122, nan, 0.0, nan, nan, 0.9220460101548298, nan, nan, nan, nan, nan, 0.6805356890237193, nan, nan, 0.5647439438175649, 0.7019540200293489, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638079583837581, nan, nan, 0.9697141888726062, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3530150753768844, nan, 0.6765223671737463, 0.8920254678485999, nan, nan, 0.8264184572729973, 0.0, 0.8616266197825097, nan, nan, 0.7762981574539364, 0.8315092165898618, nan, nan, 0.8692742104162309, nan, nan, nan, nan, nan, nan, 0.824181626187962, 0.0, nan, 0.9686018546354324, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09251101321585903, 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, 0.8853530031612223, 0.6819296811120196, nan, nan, nan, 0.9152956298200514, nan, nan, nan, 0.22230014025245443, 0.8228541612314114, 0.0, nan, 0.9069607843137255, 0.7778216258879243, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
  • Per Category Accuracy: [0.9598165178225602, 0.9873972772341073, 0.9962357062595016, 0.9644300578376044, 0.26165030897855324, 0.9937295413000042, 0.9923120849870924, nan, 0.7356703682370433, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8381890027459648, 0.43059909576395344, 0.9671918579047806, 0.998369031064481, 0.8503918856615952, nan, 0.851498449879435, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622666195653596, nan, nan, nan, nan, nan, 0.8897451705713111, nan, nan, 0.5998156218571907, 0.7033120099050764, nan, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.9703948703380545, nan, nan, 0.990348296189206, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.707100731304553, 0.9857723182180411, nan, nan, 0.9201764057331864, nan, 0.8760013240648792, nan, nan, 0.8064207412563077, 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, 0.0987460815047022, 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, 0.8853530031612223, 0.7387068201948627, nan, nan, nan, 0.9156094633979085, nan, nan, nan, 0.2231412230532336, 0.8276043033324587, nan, nan, 0.9306841046277666, 0.794718008164911, 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 [0.9135663110592681, 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, 0.8968909926766707, nan, nan, nan, nan, nan, 0.6853325753268903, 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, 0.7515476138209597, 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, 0.9469979458596642, 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 [0.9172129530391012, 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, 0.8438051122962837, 0.9748195031586947, 0.5588631012445341, nan, 0.7910762833839757, 0.5737963693764798, nan, 0.9132947976878613, nan, 0.0, nan, nan, 0.9044269344535308, 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, 0.8978584729981378, 0.9294648550546917, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9517900025452896, 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, 0.9715711699368792, 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, 0.9677625176429644, 0.922621508718402, 0.19515125812835737, 0.9743198629278281, 0.9845204417929398, nan, 0.8511589973621501, nan, 0.8628781623001276, 0.8811161328355276, 0.9250584327715586, 0.7085691977357017, 0.9107827038861521, 0.8539530693663936, 0.9754312970860514, 0.5834205933682374, nan, 0.812015204425353, 0.5976430976430976, nan, 0.9110754852133575, nan, 0.0, nan, nan, 0.9237793817786062, nan, nan, nan, nan, nan, 0.6821963132188436, 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, 0.8654598995323055, 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, 0.9925242910965695, 0.955398237927738, 0.20072700836059615, 0.9911363346511924, 0.995332505863864, nan, 0.8947128715523823, nan, 0.9989744659401019, 0.976339091304979, 0.9316830211121023, 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]
0.0719 4.0 80 0.1275 0.6694 0.7799 0.9578 [0.9134610314696745, 0.9805005224446312, 0.9674469336023466, 0.9272321143206176, 0.1936352682684811, 0.9758118795221269, 0.9829411626981339, nan, 0.7762752591418602, nan, 0.8531813188444524, 0.8562007810999424, 0.9227758357540249, 0.7198100407055631, 0.9047094838116206, 0.8656481542193954, 0.9754753072280017, 0.6143911439114391, nan, 0.8196726471514006, 0.6182634730538922, nan, 0.9099145124484861, nan, 0.0, nan, nan, 0.9272599136683405, nan, nan, nan, nan, nan, 0.6974937945391945, nan, nan, 0.6408289817232375, 0.8422287988570262, 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, 0.7633030637358907, 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, 0.9818040792875611, 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, 0.9174293672900915, 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] [0.9585947788364707, 0.9875262449251213, 0.9952029215414105, 0.9637250812937611, 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, 0.6582299698290311, 0.8515270326042097, 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, 0.9913387014433563, 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 0.7475 0.9422 [0.8694105024198824, 0.9781126292938322, 0.9606823684298609, 0.926408580241673, 0.2576579018704256, 0.9670893407525392, 0.9836110083840857, nan, 0.7012927582656446, nan, 0.8547794937348574, 0.883655235842859, 0.9228772440562834, 0.7705247760102395, 0.4320464459243391, 0.9132524552281918, 0.9757342904807643, 0.5949204307989069, nan, 0.80098216593435, 0.4369296833064949, nan, 0.9268028257676436, nan, 0.0, nan, nan, 0.9213477508216463, nan, nan, nan, nan, nan, 0.6796151665931851, nan, nan, 0.5609027286309665, 0.703483432455395, 0.0, nan, nan, 0.0, nan, 0.22311111111111112, nan, nan, nan, 0.8673899611092938, nan, nan, 0.9694886806401982, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3625694873378629, nan, 0.6769614512471656, 0.8907231735863004, nan, nan, 0.8250595710881652, 0.0, 0.8492865055059621, nan, nan, 0.7765675185030023, 0.8431203223949338, nan, nan, 0.8667887029288703, nan, nan, nan, nan, nan, nan, 0.8210526315789474, 0.0, nan, 0.9679524982366069, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07280260432080497, 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, 0.9223650385604113, nan, nan, nan, 0.22005961774504645, 0.8258030817445808, 0.0, nan, 0.9051969741624915, 0.7891179952644041, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9603886546484733, 0.9878409260911957, 0.9959927952938066, 0.9666372618858676, 0.27640857869865504, 0.9937507970922076, 0.9916324902898188, nan, 0.7390191954777436, nan, 0.9995828336027534, 0.9762665118304543, 0.9426355436614134, 0.8466947960618847, 0.43844420989618615, 0.9668982727406175, 0.998411630999364, 0.8531581373905025, nan, 0.8540130899069928, 0.9399538106235565, nan, 0.9688871014916642, nan, nan, nan, nan, 0.9609713336211747, nan, nan, nan, nan, nan, 0.8869913686806412, nan, nan, 0.5978042239356353, 0.7048080891456872, nan, nan, nan, 0.0, nan, 0.22311111111111112, nan, nan, nan, 0.9684874802159004, nan, nan, 0.9879760947251606, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4855252274607113, nan, 0.704269874970512, 0.9836925887772358, nan, nan, 0.9162072767364939, nan, 0.8628930817610063, nan, nan, 0.8063627399802795, 0.8482479003764842, nan, nan, 0.8759050790127372, nan, nan, nan, nan, nan, nan, 0.9764239515960776, 0.0, nan, 0.9712430964867499, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07711598746081505, 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, 0.9226812960740614, nan, nan, nan, 0.22085349758029035, 0.8297034898976646, nan, nan, 0.9269617706237424, 0.8062597651328058, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0272 96.0 1920 0.2180 0.6271 0.7463 0.9421 [0.8690994996552112, 0.9785377877097258, 0.9603735840882739, 0.9257033935467444, 0.2458825941365407, 0.9664841409236491, 0.983561759214633, nan, 0.7015574021207178, nan, 0.8435588670998402, 0.8831006322444679, 0.9252186198328989, 0.7698296836982969, 0.43581500807553736, 0.9128774730996182, 0.9757070330042917, 0.5957717374026387, nan, 0.8010837660871528, 0.4396082698585419, nan, 0.9262329485834208, nan, 0.0, nan, nan, 0.9233815383844206, nan, nan, nan, nan, nan, 0.6815559454375899, nan, nan, 0.5648059796437659, 0.7027367987435957, 0.0, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.8634138410679769, nan, nan, 0.9697610193318112, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3445859872611465, nan, 0.6763081658518921, 0.892414398595259, nan, nan, 0.8257590791823775, 0.0, 0.854797733046707, nan, nan, 0.7736950933273723, 0.8346297896859695, nan, nan, 0.8700172404785539, nan, nan, nan, nan, nan, nan, 0.8213783403656821, 0.0, nan, 0.9677303713811586, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07949545321208566, 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, 0.9157024085026142, nan, nan, nan, 0.21794422031222593, 0.817398119122257, 0.0, nan, 0.9064952904238619, 0.795357090048795, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.959586335115036, 0.9871496592673603, 0.996404256725494, 0.9661611258955232, 0.26157760814249365, 0.9941971687284785, 0.9920006040841753, nan, 0.7373715724753191, nan, 0.9996871252020649, 0.973218173900421, 0.9411983348201011, 0.8476324425691514, 0.4420832086201736, 0.9651612271859862, 0.9982412312598322, 0.863992623328723, nan, 0.8555287633482604, 0.9330254041570438, nan, 0.9681558935361216, nan, nan, nan, nan, 0.9640590859729691, nan, nan, nan, nan, nan, 0.8861487875051377, nan, nan, 0.5952899765336909, 0.7040600495253817, nan, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.9698470029625421, nan, nan, 0.9902973905783895, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.44747725392886684, nan, 0.7049304081151215, 0.9878326109351008, nan, nan, 0.9175303197353915, nan, 0.8687189672293942, nan, nan, 0.8029986659706514, 0.8389805965826818, nan, nan, 0.8801331853496115, nan, nan, nan, nan, nan, nan, 0.9747548508241185, 0.0, nan, 0.970947231633174, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.08495297805642633, 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, 0.9157809017658152, nan, nan, nan, 0.21865376154861416, 0.82104434531619, nan, nan, 0.929476861167002, 0.8133158610957109, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0358 97.0 1940 0.2204 0.6267 0.7467 0.9412 [0.8666664668427115, 0.9788055427724088, 0.9603455526740029, 0.9252411547107029, 0.25039081084754977, 0.9667748671614944, 0.9835737985707801, nan, 0.6955406698564593, nan, 0.8428519088444347, 0.8851007598282128, 0.9211232208018173, 0.7690342982242764, 0.39240997918414267, 0.9127165891688065, 0.9757001341236019, 0.5930763178599527, nan, 0.8038979631678271, 0.4368932038834951, nan, 0.9270811454176293, nan, 0.0, nan, nan, 0.9229207908386999, nan, nan, nan, nan, nan, 0.6800421390273432, nan, nan, 0.5644108280254777, 0.7010325205345418, 0.0, nan, nan, 0.0, nan, 0.24266666666666667, nan, nan, nan, 0.8630572098899115, nan, nan, 0.9703220920035079, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.35709895513214507, nan, 0.6771162706658235, 0.8936211419617234, nan, nan, 0.8263930200277613, 0.0, 0.864488414475397, nan, nan, 0.7753534111862324, 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, 0.09456264775413711, 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, 0.8802950474183351, 0.6787181594083813, nan, nan, nan, 0.9149346475251767, nan, nan, nan, 0.2222124824684432, 0.8248956158663883, 0.0, nan, 0.9080954243253813, 0.7813994772917797, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9599393557097484, 0.9875056100945591, 0.9961910899596801, 0.96473271792449, 0.2678298800436205, 0.9939208434298347, 0.9918920577089164, nan, 0.7302184774891833, nan, 0.9996697432688464, 0.9722746407316011, 0.9445187828327882, 0.8469626950639609, 0.3979426266954426, 0.9652590889073739, 0.9983173025721233, 0.8688335638543108, nan, 0.8510850843954529, 0.9353348729792148, nan, 0.968229014331676, nan, nan, nan, nan, 0.9637712446520391, nan, nan, nan, nan, nan, 0.8888203863542951, nan, nan, 0.5941166610794503, 0.7022802311184482, 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, 0.7072422741212551, 0.9865109137203832, nan, nan, 0.9189636163175303, nan, 0.8793114862628268, nan, nan, 0.8048547068035496, 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, 0.10031347962382445, 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, 0.8802950474183351, 0.7316209034543845, nan, nan, nan, 0.9150522887022116, nan, nan, nan, 0.22305323361196655, 0.829441091577014, nan, nan, 0.9344064386317907, 0.7986492616299582, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0094 98.0 1960 0.2193 0.6398 0.7480 0.9418 [0.8682387005890121, 0.9781146845714402, 0.9602914076473802, 0.9259642141486522, 0.24637088529952975, 0.966499266331866, 0.9833691414020849, nan, 0.7050110706741659, nan, 0.8476130116291066, 0.8831996845011174, 0.9232991092016797, 0.7646122773731563, 0.4101150638985077, 0.9127277772638979, 0.9757173276867074, 0.5931962025316456, nan, 0.8037802907915994, 0.4271488469601677, nan, 0.9273019871256647, nan, 0.0, nan, nan, 0.9230105536937928, nan, nan, nan, nan, nan, 0.67957635654035, nan, nan, 0.566890166028097, 0.7035969000231725, 0.0, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.8639279969637274, nan, nan, 0.9691012355520128, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.34181141439205953, nan, 0.6764108810393828, 0.8915785405614306, nan, nan, 0.8272277227722772, 0.0, 0.85546722272905, nan, nan, 0.7733079869167762, 0.8361175115207373, nan, nan, 0.867402447954807, nan, nan, nan, nan, nan, nan, 0.8206026629292221, 0.0, nan, 0.9673528391349601, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.12101724641917568, 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, 0.6872964169381107, nan, nan, nan, 0.9133638973392176, nan, nan, nan, 0.2217741935483871, 0.8224079394097675, 0.0, nan, 0.9046871935673662, 0.8014586310550436, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.9596726536303576, 0.9874746578487157, 0.9962951946592636, 0.9653601839582772, 0.2628135223555071, 0.9940483781830549, 0.9914814692459802, nan, 0.7421536977750391, nan, 0.9996002155359719, 0.9752503991871099, 0.942585984735851, 0.8367155582345456, 0.416058854109233, 0.9656505357929246, 0.9983081740146483, 0.8642231443061319, nan, 0.8569410954185326, 0.941108545034642, nan, 0.9690699034805499, nan, nan, nan, nan, 0.9657730502021431, nan, nan, nan, nan, nan, 0.8874434854089601, nan, nan, 0.5952061682869595, 0.7048854725546843, nan, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.9699687512682115, nan, nan, 0.99020576047892, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4557485525227461, nan, 0.7074309978768577, 0.9864914769966374, nan, nan, 0.9211686879823594, nan, 0.8691161866931479, nan, nan, 0.8022156487442724, 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, 0.12978056426332288, 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, 0.7475642161204605, nan, nan, nan, 0.9136379221669809, nan, nan, nan, 0.22261328640563133, 0.8262923117292049, nan, nan, 0.928169014084507, 0.8197167481477748, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0289 99.0 1980 0.2196 0.6274 0.7468 0.9419 [0.8687380531611786, 0.9788681985049749, 0.9604636787132215, 0.925547042468748, 0.24836467702371218, 0.966896865437102, 0.9835856103793985, nan, 0.7040263505951775, nan, 0.8438444607483492, 0.8841162131892747, 0.9217962388522684, 0.7696564305259957, 0.4197897091027692, 0.9134047822967061, 0.9757158703300036, 0.5944524151123864, nan, 0.804112343516897, 0.4375, nan, 0.927459145466634, nan, 0.0, nan, nan, 0.9220979125994894, nan, nan, nan, nan, nan, 0.6826550157508984, nan, nan, 0.5629281503903139, 0.7031306317903301, 0.0, nan, nan, 0.0, nan, 0.2328888888888889, nan, nan, nan, 0.8630636485071663, nan, nan, 0.969993821378032, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3376040999359385, nan, 0.6771774485001807, 0.8922410770633196, nan, nan, 0.8274693511412339, 0.0, 0.858379433778067, nan, nan, 0.7732788993904144, 0.8337654854508787, nan, nan, 0.8704419600877651, nan, nan, nan, nan, nan, nan, 0.8219803370786517, 0.0, nan, 0.9675971968452945, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10560093348891482, 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, 0.8876712328767123, 0.6876019575856444, nan, nan, nan, 0.9149063798791722, nan, nan, nan, 0.22521258876128694, 0.8215778474399164, 0.0, nan, 0.907843137254902, 0.7788575374901342, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9596294943726967, 0.9876294190779326, 0.9961993522374248, 0.9657588094385655, 0.2649945474372955, 0.9939846108064447, 0.9917693531107975, nan, 0.7415509088717132, nan, 0.9996002155359719, 0.9740165481201916, 0.9425364258102884, 0.8476994173196705, 0.4257943571889916, 0.9654058814894554, 0.998369031064481, 0.859612724757953, nan, 0.8540819841543231, 0.9376443418013857, nan, 0.9689967826849956, nan, nan, nan, nan, 0.9640460022765632, nan, nan, nan, nan, nan, 0.8862309905466502, nan, nan, 0.5922728796513577, 0.704472761040033, 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, 0.7072422741212551, 0.9892709284922934, nan, nan, 0.9153252480705623, nan, 0.8731545845746441, nan, nan, 0.8019836436401601, 0.8381117868520127, nan, nan, 0.8806088473125099, nan, nan, nan, nan, nan, nan, 0.9768412267890674, 0.0, nan, 0.9708080011138441, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.11347962382445141, 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, 0.8876712328767123, 0.7466784765279008, nan, nan, nan, 0.9151808674781416, nan, nan, nan, 0.2260448746150462, 0.8252427184466019, nan, nan, 0.93158953722334, 0.7957764225593468, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0231 100.0 2000 0.2163 0.6274 0.7469 0.9418 [0.8684705920049987, 0.9788583293272919, 0.9606747391887004, 0.9253111886254581, 0.24568229913304662, 0.9673287812952618, 0.9833414396887159, nan, 0.7001172811177401, nan, 0.8421861956856026, 0.8851052596845509, 0.9197815739241791, 0.7674147657591366, 0.4244409937888199, 0.9139732741480556, 0.975721673551077, 0.595, nan, 0.802955985057658, 0.43452699091394975, nan, 0.9271645968165122, nan, 0.0, nan, nan, 0.9220460101548298, nan, nan, nan, nan, nan, 0.6805356890237193, nan, nan, 0.5647439438175649, 0.7019540200293489, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638079583837581, nan, nan, 0.9697141888726062, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3530150753768844, nan, 0.6765223671737463, 0.8920254678485999, nan, nan, 0.8264184572729973, 0.0, 0.8616266197825097, nan, nan, 0.7762981574539364, 0.8315092165898618, nan, nan, 0.8692742104162309, nan, nan, nan, nan, nan, nan, 0.824181626187962, 0.0, nan, 0.9686018546354324, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09251101321585903, 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, 0.8853530031612223, 0.6819296811120196, nan, nan, nan, 0.9152956298200514, nan, nan, nan, 0.22230014025245443, 0.8228541612314114, 0.0, nan, 0.9069607843137255, 0.7778216258879243, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9598165178225602, 0.9873972772341073, 0.9962357062595016, 0.9644300578376044, 0.26165030897855324, 0.9937295413000042, 0.9923120849870924, nan, 0.7356703682370433, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8381890027459648, 0.43059909576395344, 0.9671918579047806, 0.998369031064481, 0.8503918856615952, nan, 0.851498449879435, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622666195653596, nan, nan, nan, nan, nan, 0.8897451705713111, nan, nan, 0.5998156218571907, 0.7033120099050764, nan, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.9703948703380545, nan, nan, 0.990348296189206, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.707100731304553, 0.9857723182180411, nan, nan, 0.9201764057331864, nan, 0.8760013240648792, nan, nan, 0.8064207412563077, 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, 0.0987460815047022, 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, 0.8853530031612223, 0.7387068201948627, nan, nan, nan, 0.9156094633979085, nan, nan, nan, 0.2231412230532336, 0.8276043033324587, nan, nan, 0.9306841046277666, 0.794718008164911, 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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Dataset used to train az00/pls-relu-segformer-b5-scene-parse-150-cvfinal

Evaluation results

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