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

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pls-gelu_new-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: 0.2164
  • Mean Iou: 0.6273
  • Mean Accuracy: 0.7469
  • Overall Accuracy: 0.9418
  • Per Category Iou: [0.8683879067979207, 0.9788583293272919, 0.9606686159999362, 0.9253119820955564, 0.24554577104239197, 0.9673487967886776, 0.9833321641529288, nan, 0.7000025495895161, nan, 0.8421985296271345, 0.8851052596845509, 0.9197815739241791, 0.7674618262096032, 0.42305004736098384, 0.913869625520111, 0.975721673551077, 0.5949040477342364, nan, 0.803040639313907, 0.4342948717948718, nan, 0.9271645968165122, nan, 0.0, nan, nan, 0.9220797131430147, nan, nan, nan, nan, nan, 0.6805356890237193, nan, nan, 0.5646993845668298, 0.7019540200293489, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638235612875257, nan, nan, 0.9697232523826614, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3530150753768844, nan, 0.67655290718671, 0.891948928985966, nan, nan, 0.8260051495345613, 0.0, 0.8613571242511071, nan, nan, 0.7763198302576845, 0.8315092165898618, nan, nan, 0.8692219201003974, nan, nan, nan, nan, nan, nan, 0.8240366003871195, 0.0, nan, 0.9685960733529126, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09368575624082232, 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, 0.8849315068493151, 0.6827473426001636, nan, nan, nan, 0.9153384747215081, nan, nan, nan, 0.22203716690042075, 0.8228541612314114, 0.0, nan, 0.9069607843137255, 0.7779202841357538, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
  • Per Category Accuracy: [0.9598231577083541, 0.9873972772341073, 0.9962357062595016, 0.9644411307676124, 0.261504907306434, 0.9937295413000042, 0.9923073655794724, nan, 0.7355498104563781, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8381890027459648, 0.42918130405330895, 0.9672163233351274, 0.998369031064481, 0.8503918856615952, nan, 0.8515328970031002, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622535358689537, 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, 0.9903279339448794, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.707100731304553, 0.9857917549417871, nan, nan, 0.9196251378169791, nan, 0.8756703078450844, nan, nan, 0.8064207412563077, 0.8360845641471184, nan, nan, 0.8785476454732837, nan, nan, nan, nan, nan, nan, 0.9770498643855623, 0.0, nan, 0.9719450503550379, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1, 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, 0.8849315068493151, 0.7395925597874224, nan, nan, nan, 0.9156523229898851, nan, nan, nan, 0.22287725472943246, 0.8276043033324587, nan, nan, 0.9306841046277666, 0.7948188095358096, 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, 0.9825468483379537, 0.9682754876312698, 0.9110306258322237, 0.19175221854880808, 0.9731929353526031, 0.9846199197072778, nan, 0.8321642999001251, nan, 0.8806729926333758, 0.8467248339627556, 0.9137088054158243, 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, 0.6853492960572518, 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, 0.9891563965395389, 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, 0.842334566378956, 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, 0.9844951433109828, nan, 0.8506306218224482, nan, 0.8806148748159057, 0.8446081281902177, 0.9194688780768401, 0.6329650565262076, 0.917229910135331, 0.8438263604105136, 0.9748195031586947, 0.5588631012445341, nan, 0.7911402526787142, 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, 0.797870584351271, 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, 0.6599691916147612, 0.9470533562280439, 0.9715956353672262, 0.9991693012697823, 0.7660212079299217, nan, 0.8520496038580778, 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 [0.9221210104613091, 0.9816427249944908, 0.9677609064133385, 0.9226247972768263, 0.19513746554526823, 0.9743198629278281, 0.9845204417929398, nan, 0.8511589973621501, nan, 0.8628781623001276, 0.8811161328355276, 0.9250584327715586, 0.7086342637777344, 0.9107951953778318, 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, 0.6821855650612091, 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, 0.7678006007956483, 0.8654748913024649, nan, nan, 0.8087059520284275, 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] [0.9583933689673871, 0.9881246550114265, 0.9925226386410205, 0.955398237927738, 0.20072700836059615, 0.9911363346511924, 0.995332505863864, nan, 0.8947128715523823, nan, 0.9989744659401019, 0.976339091304979, 0.9316830211121023, 0.7294220079030206, 0.9436664093637266, 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, 0.9033076074972437, 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 [0.9134590136447185, 0.9805005224446312, 0.9674485399712781, 0.9272321143206176, 0.1936352682684811, 0.9758118795221269, 0.9829411626981339, nan, 0.7762653374233128, nan, 0.8531686534150795, 0.8562648056853832, 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, 0.6974777804467932, nan, nan, 0.6408289817232375, 0.8422032860495969, 0.0, nan, nan, 0.0, nan, 0.36837455830388693, nan, nan, nan, 0.907118591723286, nan, nan, 0.9878809247972599, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3781369629944704, nan, 0.7633354551241247, 0.8615868996081518, nan, nan, 0.8135490394337714, nan, 0.8868760840238967, 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, 0.9172468669186393, 0.44729849424269263, nan, nan, nan, 0.9738002482983005, nan, nan, nan, 0.2739821771798008, 0.8330749354005168, 0.0, nan, 0.8943535514764565, 0.9158023483365949, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan] [0.9585936721888384, 0.9875262449251213, 0.9952045739969595, 0.9637250812937611, 0.19861868411486733, 0.9861412234833993, 0.990660292320108, nan, 0.8135640898557325, nan, 0.9989744659401019, 0.9706778922920598, 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, 0.8950678175092478, nan, nan, 0.6582299698290311, 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, 0.9913387014433563, 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, 0.9434504309258606, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
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0.0313 95.0 1900 0.2159 0.6278 0.7475 0.9422 [0.8693356493098651, 0.9781127410918601, 0.9606854935113373, 0.9263949515030173, 0.2576579018704256, 0.9671093459103884, 0.9836156896156241, nan, 0.7011223958002314, nan, 0.8548176115587003, 0.8837132908481703, 0.9228791150141918, 0.7705717420455931, 0.43089771651220915, 0.9132333572105276, 0.9757342904807643, 0.5946640951462552, nan, 0.8010598080713431, 0.4369296833064949, nan, 0.9268028257676436, nan, 0.0, nan, nan, 0.9213438040996562, nan, nan, nan, nan, nan, 0.6795414823095939, nan, nan, 0.560937254285265, 0.7034500514933059, 0.0, nan, nan, 0.0, nan, 0.2222222222222222, nan, nan, nan, 0.8674033149171271, nan, nan, 0.9694983665191372, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.36234567901234566, nan, 0.6770068027210885, 0.8906585477455915, nan, nan, 0.8249429053718598, 0.0, 0.8490910275623901, nan, nan, 0.7764466041108132, 0.8431203223949338, nan, nan, 0.8666387741226923, nan, nan, nan, nan, nan, nan, 0.8210526315789474, 0.0, nan, 0.9679580945993606, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07339449541284404, 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, 0.9224078834618681, nan, nan, nan, 0.22005961774504645, 0.8255419169495952, 0.0, nan, 0.9051969741624915, 0.7892166535122336, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9603964011818996, 0.9878460847988362, 0.9959944477493555, 0.9666298799325289, 0.27640857869865504, 0.9937507970922076, 0.9916372096974387, nan, 0.73885845177019, nan, 0.9995828336027534, 0.9762665118304543, 0.9426603231241947, 0.8466947960618847, 0.4372784700452118, 0.9669227381709644, 0.998411630999364, 0.8529276164130936, nan, 0.8540130899069928, 0.9399538106235565, nan, 0.9688871014916642, nan, nan, nan, nan, 0.960918998835551, nan, nan, nan, nan, nan, 0.8869091656391287, nan, nan, 0.5978880321823667, 0.7047565002063557, nan, nan, nan, 0.0, nan, 0.2222222222222222, nan, nan, nan, 0.9684671888316221, nan, nan, 0.9879760947251606, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4855252274607113, nan, 0.7043170559094126, 0.9836731520534898, nan, nan, 0.915986769570011, nan, 0.8626944720291294, nan, nan, 0.8063047387042515, 0.8482479003764842, nan, nan, 0.8757993763543153, nan, nan, nan, nan, nan, nan, 0.9764239515960776, 0.0, nan, 0.9712430964867499, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.07774294670846395, 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, 0.922724155666038, nan, nan, nan, 0.22085349758029035, 0.829441091577014, nan, nan, 0.9269617706237424, 0.8063605665037045, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0272 96.0 1920 0.2181 0.6271 0.7463 0.9421 [0.8690547778258848, 0.9785377877097258, 0.9603751136792581, 0.9257006453894439, 0.2458825941365407, 0.9664428143403244, 0.9835665922671271, nan, 0.7014440295178497, nan, 0.8435836132420025, 0.8830424761277577, 0.9251942610771442, 0.769923348339214, 0.43502298422164243, 0.9128563495001851, 0.9757070330042917, 0.5956770502225047, nan, 0.8011482759732929, 0.4396082698585419, nan, 0.9262653468117108, nan, 0.0, nan, nan, 0.9234162541512626, nan, nan, nan, nan, nan, 0.6815559454375899, nan, nan, 0.5648854961832062, 0.7027110527535336, 0.0, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.8633670520231214, nan, nan, 0.9697607178464607, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3452229299363057, nan, 0.676414667270258, 0.892300939338074, nan, nan, 0.8258884256501886, 0.0, 0.8544720213666862, nan, nan, 0.7735833240192244, 0.8346297896859695, nan, nan, 0.8699649966041482, nan, nan, nan, nan, nan, nan, 0.8215541490857946, 0.0, nan, 0.9677245893298024, 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, 0.8171368861024033, 0.0, nan, 0.9064952904238619, 0.7954556656316231, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9595985082389916, 0.9871496592673603, 0.996404256725494, 0.9661685078488619, 0.26157760814249365, 0.9941546571440718, 0.9920147623070352, nan, 0.7372242240767284, nan, 0.9996871252020649, 0.973218173900421, 0.9411735553573198, 0.8476324425691514, 0.4412797933174751, 0.9651612271859862, 0.9982412312598322, 0.863992623328723, nan, 0.8555976575955908, 0.9330254041570438, nan, 0.9681558935361216, nan, nan, nan, nan, 0.9640590859729691, nan, nan, nan, nan, nan, 0.8861487875051377, nan, nan, 0.5953737847804224, 0.704034255055716, nan, nan, nan, 0.0, nan, 0.23377777777777778, nan, nan, nan, 0.9698470029625421, nan, nan, 0.9902872094562263, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.44830438378825477, nan, 0.7049775890540222, 0.9877937374876091, nan, nan, 0.9173098125689085, nan, 0.8683879510095994, nan, nan, 0.8028826634185952, 0.8389805965826818, nan, nan, 0.8800803340204006, nan, nan, nan, nan, nan, nan, 0.9749634884206134, 0.0, nan, 0.9709414303615352, 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, 0.8207819469955392, nan, nan, 0.929476861167002, 0.8134166624666096, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0358 97.0 1940 0.2205 0.6267 0.7467 0.9412 [0.8665703622006969, 0.9788005379120627, 0.9603486123368369, 0.9252201801087448, 0.2505267450553932, 0.9667748671614944, 0.9835830814013347, nan, 0.6954091918238191, nan, 0.8428642612187472, 0.8851007598282128, 0.9211028683275742, 0.7692354479654522, 0.39099636499207757, 0.9127186083094291, 0.9757001341236019, 0.5930763178599527, nan, 0.803943900296118, 0.4364224137931034, nan, 0.9270486925473448, nan, 0.0, nan, nan, 0.9229670467359979, nan, nan, nan, nan, nan, 0.6799471714725952, nan, nan, 0.5645353929452982, 0.7010325205345418, 0.0, nan, nan, 0.0, nan, 0.24177777777777779, nan, nan, nan, 0.8630416343325332, nan, nan, 0.970292194849717, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.35709895513214507, nan, 0.6771920314405746, 0.893507270870744, nan, nan, 0.8262938726948245, 0.0, 0.8642931528247852, nan, nan, 0.7752758765190669, 0.829057365234938, nan, nan, 0.8695402298850575, nan, nan, nan, nan, nan, nan, 0.8195198878570177, 0.0, nan, 0.9672023083283701, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09515366430260047, 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, 0.6781609195402298, nan, nan, nan, 0.9149346475251767, nan, nan, nan, 0.22212482468443198, 0.8248956158663883, 0.0, nan, 0.9081931951505671, 0.7815474135805514, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9599393557097484, 0.9875056100945591, 0.9961910899596801, 0.9647142630411433, 0.26797528171573975, 0.9939208434298347, 0.9918967771165363, nan, 0.7300711290905925, nan, 0.9996697432688464, 0.9722746407316011, 0.9445435622955695, 0.8470296698144799, 0.39650908174356875, 0.9652835543377208, 0.9983173025721233, 0.8688335638543108, nan, 0.8510506372717878, 0.9353348729792148, nan, 0.968229014331676, nan, nan, nan, nan, 0.9637712446520391, nan, nan, nan, nan, nan, 0.8887381833127825, nan, nan, 0.5942004693261816, 0.7022802311184482, nan, nan, nan, 0.0, nan, 0.24177777777777779, nan, nan, nan, 0.9703745789537762, nan, nan, 0.9912645971839016, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.48056244830438377, nan, 0.7072894550601557, 0.9864720402728916, nan, nan, 0.9188533627342889, nan, 0.87911287653095, nan, nan, 0.8047967055275216, 0.8328989284679988, nan, nan, 0.8796046720575023, nan, nan, nan, nan, nan, nan, 0.975798038806593, 0.0, nan, 0.9703613031976609, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.10094043887147336, 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, 0.22296524417069952, 0.829441091577014, nan, nan, 0.9345070422535211, 0.7988004636863061, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0094 98.0 1960 0.2194 0.6398 0.7480 0.9418 [0.8681592612577799, 0.9781146845714402, 0.9602898781556104, 0.9259748351967372, 0.24637088529952975, 0.966499266331866, 0.9833880200897768, nan, 0.7048838215458224, nan, 0.8476379983786573, 0.8833081322726974, 0.9232991092016797, 0.7646446716043337, 0.4087549302773378, 0.9126855662951486, 0.9757173276867074, 0.5930085416007592, nan, 0.8037479806138934, 0.4276729559748428, nan, 0.9273019871256647, nan, 0.0, nan, nan, 0.923054798289273, nan, nan, nan, nan, nan, 0.6795184514910694, nan, nan, 0.5668449197860963, 0.7035711527073303, 0.0, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.8638967704624727, nan, nan, 0.9690912714228777, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.34221946683199006, nan, 0.6763962825949653, 0.8915666883310791, nan, nan, 0.8272106149123676, 0.0, 0.8552065684869021, nan, nan, 0.7732520757037824, 0.8361175115207373, nan, nan, 0.867357079345154, nan, nan, nan, nan, nan, nan, 0.8204589245051673, 0.0, nan, 0.9673470567826992, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.12192982456140351, 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, 0.6889250814332247, 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] [0.9596770802208868, 0.9874746578487157, 0.9962951946592636, 0.9653712568882852, 0.2628135223555071, 0.9940483781830549, 0.9915097856917, nan, 0.7420197446854112, nan, 0.9996002155359719, 0.9751778197125853, 0.942585984735851, 0.8366485834840265, 0.41467256888104725, 0.9656505357929246, 0.9983081740146483, 0.8642231443061319, nan, 0.8569066482948674, 0.9422632794457275, nan, 0.9690699034805499, nan, nan, nan, nan, 0.9657468828093313, nan, nan, nan, nan, nan, 0.8873818331278257, nan, nan, 0.5952061682869595, 0.7048596780850186, nan, nan, nan, 0.0, nan, 0.2391111111111111, nan, nan, nan, 0.9699687512682115, nan, nan, 0.9901955793567567, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.456575682382134, nan, 0.707383816937957, 0.9865303504441292, nan, nan, 0.9210584343991179, nan, 0.8688513737173121, nan, nan, 0.8021576474682443, 0.8407182160440196, nan, nan, 0.8764335923048465, nan, nan, nan, nan, nan, nan, 0.9772585019820572, 0.0, nan, 0.9705121362602682, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.13072100313479623, 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, 0.7493356953055802, 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 0.2197 0.6274 0.7468 0.9419 [0.8686596498538971, 0.9788681985049749, 0.9604589621732197, 0.9255271358685848, 0.24834775499080194, 0.966896865437102, 0.9835811604581175, nan, 0.7038610235018822, nan, 0.8438793179350219, 0.8840503326964886, 0.9217981340118745, 0.7698436834742413, 0.41860934660723437, 0.9133624979746777, 0.9757158703300036, 0.5944524151123864, nan, 0.804190587395803, 0.4375, nan, 0.9275565199132079, nan, 0.0, nan, nan, 0.922107502659408, nan, nan, nan, nan, nan, 0.682665822384043, nan, nan, 0.5630078062768838, 0.703104886463107, 0.0, nan, nan, 0.0, nan, 0.2328888888888889, nan, nan, nan, 0.8630505415162455, nan, nan, 0.9699735911106682, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3382447149263293, nan, 0.6771774485001807, 0.8921590968850246, nan, nan, 0.8271703378849796, 0.0, 0.8581841848356655, nan, nan, 0.7732229741065936, 0.8340535868625756, nan, nan, 0.8704419600877651, nan, nan, nan, nan, nan, nan, 0.8218360540635422, 0.0, nan, 0.9675971968452945, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1058926487747958, 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, 0.9149100257069409, nan, nan, nan, 0.22521258876128694, 0.8215778474399164, 0.0, nan, 0.907843137254902, 0.779104183109708, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9596361342584907, 0.9876294190779326, 0.9961960473263269, 0.9657551184618962, 0.2649945474372955, 0.9939846108064447, 0.9917787919260375, nan, 0.7413767698551967, nan, 0.9995828336027534, 0.973943968645667, 0.9425612052730696, 0.8476994173196705, 0.4245971108555585, 0.9654058814894554, 0.998369031064481, 0.859612724757953, nan, 0.8540819841543231, 0.9376443418013857, nan, 0.9689967826849956, nan, nan, nan, nan, 0.9640198348837513, nan, nan, nan, nan, nan, 0.8862309905466502, nan, nan, 0.5923566878980892, 0.7044469665703673, nan, nan, nan, 0.0, nan, 0.2328888888888889, nan, nan, nan, 0.9701919564952721, nan, nan, 0.9909489823968398, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.43672456575682383, nan, 0.7072422741212551, 0.9892320550448016, nan, nan, 0.9149944873208379, nan, 0.8729559748427673, nan, nan, 0.801925642364132, 0.838401390095569, 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, 0.11379310344827587, 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, 0.9152237270701183, nan, nan, nan, 0.2260448746150462, 0.8252427184466019, nan, nan, 0.93158953722334, 0.7960284259865934, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.0231 100.0 2000 0.2164 0.6273 0.7469 0.9418 [0.8683879067979207, 0.9788583293272919, 0.9606686159999362, 0.9253119820955564, 0.24554577104239197, 0.9673487967886776, 0.9833321641529288, nan, 0.7000025495895161, nan, 0.8421985296271345, 0.8851052596845509, 0.9197815739241791, 0.7674618262096032, 0.42305004736098384, 0.913869625520111, 0.975721673551077, 0.5949040477342364, nan, 0.803040639313907, 0.4342948717948718, nan, 0.9271645968165122, nan, 0.0, nan, nan, 0.9220797131430147, nan, nan, nan, nan, nan, 0.6805356890237193, nan, nan, 0.5646993845668298, 0.7019540200293489, 0.0, nan, nan, 0.0, nan, 0.24444444444444444, nan, nan, nan, 0.8638235612875257, nan, nan, 0.9697232523826614, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3530150753768844, nan, 0.67655290718671, 0.891948928985966, nan, nan, 0.8260051495345613, 0.0, 0.8613571242511071, nan, nan, 0.7763198302576845, 0.8315092165898618, nan, nan, 0.8692219201003974, nan, nan, nan, nan, nan, nan, 0.8240366003871195, 0.0, nan, 0.9685960733529126, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.09368575624082232, 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, 0.8849315068493151, 0.6827473426001636, nan, nan, nan, 0.9153384747215081, nan, nan, nan, 0.22203716690042075, 0.8228541612314114, 0.0, nan, 0.9069607843137255, 0.7779202841357538, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.9598231577083541, 0.9873972772341073, 0.9962357062595016, 0.9644411307676124, 0.261504907306434, 0.9937295413000042, 0.9923073655794724, nan, 0.7355498104563781, nan, 0.9995828336027534, 0.9734359123239947, 0.9432798096937258, 0.8381890027459648, 0.42918130405330895, 0.9672163233351274, 0.998369031064481, 0.8503918856615952, nan, 0.8515328970031002, 0.9387990762124712, nan, 0.9689602222872185, nan, nan, nan, nan, 0.9622535358689537, 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, 0.9903279339448794, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.46484698097601324, nan, 0.707100731304553, 0.9857917549417871, nan, nan, 0.9196251378169791, nan, 0.8756703078450844, nan, nan, 0.8064207412563077, 0.8360845641471184, nan, nan, 0.8785476454732837, nan, nan, nan, nan, nan, nan, 0.9770498643855623, 0.0, nan, 0.9719450503550379, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.1, 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, 0.8849315068493151, 0.7395925597874224, nan, nan, nan, 0.9156523229898851, nan, nan, nan, 0.22287725472943246, 0.8276043033324587, nan, nan, 0.9306841046277666, 0.7948188095358096, 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-gelu_new-segformer-b5-scene-parse-150-cvfinal

Evaluation results

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