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segformer-b0-scene-parse-150-testing

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segformer-b0-scene-parse-150-testing

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

  • Loss: 2.2150
  • Mean Iou: 0.0979
  • Mean Accuracy: 0.1655
  • Overall Accuracy: 0.5607
  • Per Category Iou: [0.6211411667497754, 0.5839035268588175, 0.8411576998332261, 0.464015644015436, 0.4052849927849928, 0.4788026310226319, 0.03373079502055334, 0.0, 0.036962790647813645, 0.7749948937908496, 0.050276306044550786, 0.0, 0.32207848268605577, nan, 0.027546884660300888, 0.0, 0.0, 0.0, 0.0, 0.011764824688964292, 0.30994063598895905, 0.0, 0.0, 0.031859410430839, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
  • Per Category Accuracy: [0.9026851511491537, 0.7256312660148767, 0.9871168574994992, 0.8648365708968244, 0.8785017496530018, 0.8011156924569488, 0.6846153846153846, nan, 0.06205680141103632, 0.7950081190089571, 0.05923415108903581, 0.0, 0.42041626069705473, nan, 0.029675127654850884, 0.0, nan, 0.0, 0.0, 0.012571625894312015, 0.5180433546103773, nan, 0.0, 0.03672082589188483, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, 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: 50

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Per Category Iou Per Category Accuracy
4.5469 1.0 20 4.2578 0.0345 0.1086 0.4125 [0.43401533789893565, 0.3375324044847231, 0.6310751338835964, 0.3861039410022946, 0.47456106754822713, 0.14083028364860187, 0.0, 0.0, 0.05806104015466041, 0.1355570117955439, 0.001269473476631828, 0.0, 0.06274710425783922, nan, 0.0, 0.03437155342110039, 0.0, 0.0, 0.0025931336742147553, 0.0, 0.0, 0.0, 0.0, 0.12375735014171496, 0.0, 0.0, nan, 0.014178871922717358, 0.0, 0.0, 0.02382213849806715, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, nan] [0.5536645136445588, 0.8752095927556783, 0.9170660543578205, 0.6964509583446422, 0.9204738725001467, 0.3822863610639502, 0.0, nan, 0.06594435045534718, 0.2708868053009271, 0.0017283619156290902, 0.0, 0.06623076290983367, nan, 0.0, 0.03999545137027471, nan, 0.0, 0.004535002554931017, 0.0, 0.0, nan, 0.0, 0.2548677963148495, 0.0, nan, nan, 0.029056978641878946, 0.0, nan, 0.026009083897506214, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
3.7837 2.0 40 3.9673 0.0497 0.1175 0.4378 [0.43262922109211194, 0.3815568002434432, 0.7344899912436109, 0.3940891170890959, 0.396235344913481, 0.1969130541825275, 0.0, 0.0, 0.05201885310290652, 0.09384419443854808, 0.02349220691213011, 0.0, 0.06200679063753953, nan, 0.0, 6.321711919587824e-05, 0.0, 0.0, 0.002046900725314822, 0.0, 0.0, 0.0, 0.0, 0.19777182107555705, 0.0, 0.0, nan, 0.01175256094655761, 0.0, nan, 0.002879258903795197, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.5814962628437396, 0.798542179764659, 0.9263893811673936, 0.841701885670712, 0.9329071608703302, 0.5253860457595602, 0.0, nan, 0.05959108743385767, 0.11578754386883872, 0.04013826895325033, 0.0, 0.06249192951976241, nan, 0.0, 6.498042464707506e-05, nan, 0.0, 0.0029381706693919264, 0.0, 0.0, nan, 0.0, 0.6170666898985059, 0.0, nan, nan, 0.015752501241751225, 0.0, nan, 0.0029565515468334904, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
3.6018 3.0 60 3.5198 0.0545 0.1163 0.4863 [0.5336816266237998, 0.5370825703507671, 0.7498048148356823, 0.3958050577006317, 0.46992639537915404, 0.23189394933718335, 0.0, 0.0, 0.00026385659394119297, 0.09877532843464708, 0.017996340070165505, 0.0064178408805707935, 0.03983180340299399, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006319914049168931, 0.0, 0.0, 0.17076406617484471, 0.0, 0.0, nan, 0.001535430789732893, 0.0, nan, 0.011764204424363838, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.7740639605104238, 0.8259770629648979, 0.9570561916649972, 0.8716057280963644, 0.9161144018923622, 0.5356536502546689, 0.0, nan, 0.00028796659587487853, 0.11618039914095647, 0.029868778736114373, 0.00649507728779119, 0.04069869815816968, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.006319914049168931, nan, 0.0, 0.3700396393256959, 0.0, nan, nan, 0.0018803661392180514, 0.0, nan, 0.011826206187333961, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
3.3739 4.0 80 3.4219 0.0677 0.1270 0.4954 [0.5497327245053273, 0.5332851597291075, 0.752851956434046, 0.439751599911729, 0.42158199036088767, 0.272525036741971, 0.0, 0.0, 3.095112816862175e-05, 0.48844495747838584, 0.03908187224331263, 0.012264299277930308, 0.05358994109913531, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0036023510080262907, 0.0, 0.0, 0.14452875974252988, 0.0, 0.0, nan, 0.002179160520316481, 0.0, nan, 0.012157925047458567, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.7902606382047647, 0.7894668756374854, 0.9586948369830434, 0.8241570056738139, 0.9251265810411902, 0.6858678955453149, 0.0, nan, 3.599582448435982e-05, 0.5430307474726311, 0.05977111789777494, 0.012264447616052637, 0.054309929918884337, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0036023510080262907, nan, 0.0, 0.30613756152807425, 0.0, nan, nan, 0.002306109416022139, 0.0, nan, 0.012211843345616591, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
3.2169 5.0 100 3.1205 0.0727 0.1291 0.5118 [0.5616205921394356, 0.5759277024782282, 0.7356526018717173, 0.3911463432175341, 0.42238214662159707, 0.26554378943272466, 0.0, 0.0, 0.0, 0.6766107365539615, 0.020765772817748752, 0.004548964718374439, 0.014376595533382793, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03296911513926609, 0.0, 0.0, 0.14895871086453483, 0.0, 0.0, nan, 0.0024982841455044613, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.8516865339844912, 0.7676543025598925, 0.9828276134851777, 0.8610788000982255, 0.9087248059742341, 0.6758630447085455, 0.0, nan, 0.0, 0.6991514326122257, 0.03116085511964292, 0.004559858729045211, 0.014444692265251741, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.03298995133666182, nan, 0.0, 0.23273946944287147, 0.0, nan, nan, 0.0032285531824309942, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
2.7547 6.0 120 3.1530 0.0731 0.1284 0.5263 [0.5791724163878951, 0.637866130866987, 0.7614154836679616, 0.4066222796073612, 0.4711092575491277, 0.29762074080094275, 0.0, 0.0, 0.0, 0.3726423235286866, 0.03552514132698602, 0.0, 0.08187654152212671, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0633665774750669, 0.0, 0.0, 0.1652728533991059, 0.0, 0.0, nan, 0.0008398015014632905, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9161354128376131, 0.8118864591884967, 0.9695489359079071, 0.8445743347162447, 0.9274920337028131, 0.592125474977767, 0.0, nan, 0.0, 0.39584097218584674, 0.050088935127697416, 0.0, 0.08436733304377428, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.06585350439234026, nan, 0.0, 0.37361153460818053, 0.0, nan, nan, 0.0011707940112112396, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
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1.1829 38.0 760 2.3281 0.1001 0.1677 0.5509 [0.6059244429175601, 0.5942994815754942, 0.8024555990994747, 0.4664508376236147, 0.3997593582887701, 0.4513112968560694, 0.03559272674323365, 0.0, 0.02192282819573184, 0.8446939586645469, 0.046341429924892555, 0.0, 0.2695281903758242, nan, 0.00906344410876133, 0.0, 0.0, 0.0, 0.0, 0.03099780775232388, 0.3488188976377953, 0.0, 0.0, 0.07657611128326963, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.8953053615501759, 0.6872950717715253, 0.9887195450832935, 0.869159784420922, 0.8768400680312005, 0.7453714932492521, 0.7714003944773176, nan, 0.036607753500593934, 0.8905767115394688, 0.05663321810920562, 0.0, 0.3332550741310294, nan, 0.009324354325464367, 0.0, nan, 0.0, 0.0, 0.034941566219555624, 0.5879416039941857, nan, 0.0, 0.09687676961275428, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
1.3038 39.0 780 2.2157 0.0968 0.1651 0.5574 [0.6187148149228481, 0.6228867291195893, 0.8150466632195502, 0.46734620956229855, 0.414020387957904, 0.4273867661487464, 0.03628105039034776, 0.0, 0.023883178658151216, 0.8129481870518129, 0.05494977110885046, 0.0, 0.2754367184078634, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007835526588899498, 0.3311563580484057, 0.0, 0.0, 0.03111985192040722, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9282238442822385, 0.7063163917705302, 0.9878462858228928, 0.8578961653289907, 0.8829003186518875, 0.7791757619856092, 0.7562130177514793, nan, 0.03876750296965552, 0.8432245560735425, 0.058009195556599655, 0.0, 0.3322396609811356, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.008147276867129245, 0.5447765910383618, nan, 0.0, 0.035152676743476934, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
1.2008 40.0 800 2.2847 0.1013 0.1685 0.5596 [0.6191084887459039, 0.630240821160679, 0.8317153363616699, 0.46352029857858645, 0.4241497109392597, 0.4413764088483426, 0.03476549688422433, 0.0, 0.03716918581783447, 0.787963311973866, 0.0630287050551658, 0.0, 0.30245959437940423, nan, 0.017291269673230292, 0.0, 0.0, 0.0, 0.0, 0.018921388458261038, 0.32929423383727113, 0.0, 0.0, 0.06589624692073613, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9071382310210226, 0.7148593178595417, 0.9875586239488784, 0.8611531154278624, 0.8835063437139562, 0.8057644110275689, 0.7526627218934911, nan, 0.07143371368921206, 0.8212508511864229, 0.06738933449676142, 0.0, 0.38015777055184474, nan, 0.018130688966180714, 0.0, nan, 0.0, 0.0, 0.019887988431945957, 0.5478733489224547, nan, 0.0, 0.07923509169316548, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
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1.5916 48.0 960 2.1842 0.1011 0.1636 0.5566 [0.6179166909838887, 0.5879250509296164, 0.8529463992399826, 0.4535131274771619, 0.4097653113365939, 0.47623673499501984, 0.03455963220941869, 0.0, 0.02876671807982421, 0.7860520393455888, 0.042033160685279965, 0.0, 0.28613006255551565, nan, 0.022517841058684956, 0.0, nan, 0.0, 0.0, 0.014748409485251591, 0.3036777048679994, 0.0, 0.0, 0.03825933458689896, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9081219695776226, 0.7265716346991069, 0.9869524792857767, 0.8658705233091647, 0.8778957245909331, 0.7827835718328078, 0.6879684418145957, nan, 0.049008315035455885, 0.8141532659368289, 0.046028123636607715, 0.0, 0.3554532968645451, nan, 0.02405091393472952, 0.0, nan, 0.0, 0.0, 0.01596002978342272, 0.5030651583138469, nan, 0.0, 0.04342901947118526, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
0.6732 49.0 980 2.2245 0.0988 0.1660 0.5613 [0.6189791147225361, 0.5915878938640132, 0.8339440141701108, 0.46920074097660436, 0.3972913347223925, 0.4815298576106553, 0.031890300527553296, 0.0, 0.03378414960314453, 0.7985038671231139, 0.0567907334211682, 0.0, 0.331237632667746, nan, 0.025959525471039777, 0.0, 0.0, 0.0, 0.0, 0.01430927876782335, 0.31679947364573435, 0.0, 0.0, 0.039344385267421796, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9060407148733568, 0.7099584546110407, 0.9867521433378024, 0.8617734868752666, 0.8871620432819189, 0.7935665777346592, 0.6366863905325444, nan, 0.05615348619560131, 0.8247079775810592, 0.06943652045507936, 0.0, 0.43230774648714004, nan, 0.027529046103751943, 0.0, nan, 0.0, 0.0, 0.015258608596186427, 0.5477469506414713, nan, 0.0, 0.04569412379666333, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]
1.3388 50.0 1000 2.2150 0.0979 0.1655 0.5607 [0.6211411667497754, 0.5839035268588175, 0.8411576998332261, 0.464015644015436, 0.4052849927849928, 0.4788026310226319, 0.03373079502055334, 0.0, 0.036962790647813645, 0.7749948937908496, 0.050276306044550786, 0.0, 0.32207848268605577, nan, 0.027546884660300888, 0.0, 0.0, 0.0, 0.0, 0.011764824688964292, 0.30994063598895905, 0.0, 0.0, 0.031859410430839, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan] [0.9026851511491537, 0.7256312660148767, 0.9871168574994992, 0.8648365708968244, 0.8785017496530018, 0.8011156924569488, 0.6846153846153846, nan, 0.06205680141103632, 0.7950081190089571, 0.05923415108903581, 0.0, 0.42041626069705473, nan, 0.029675127654850884, 0.0, nan, 0.0, 0.0, 0.012571625894312015, 0.5180433546103773, nan, 0.0, 0.03672082589188483, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan]

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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Dataset used to train agl19003/segformer-b0-scene-parse-150-testing

Evaluation results

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