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segformer-b0-scene-parse-150

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PyTorch
segformer
generated_from_trainer
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segformer-b0-scene-parse-150

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the scene_parse_150 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5845
  • Mean Iou: 0.3672
  • Mean Accuracy: 0.5180
  • Overall Accuracy: 0.8290
  • Per Category Iou: [0.7471836875245966, 0.7577637085524198, 0.8895546109310157, 0.11085509472606246, 0.9216125389161993, 0.06317712705545406, 0.9563222390153204, 0.830028328611898, 0.9289316210582935, 0.9387814548102598, nan, 0.7060518731988472, 0.1376830208065759, 0.0, 0.0, 0.5381879054195439, 0.0, 0.527306967984934, nan, nan, 0.8465404640804165, 0.5976121816945779, 0.9477989695381, nan, nan, 0.6212450409224044, 0.4029468326443188, nan, nan, nan, nan, nan, 0.16078532846007051, nan, 0.0, nan, 0.434913217623498, nan, nan, nan, nan, nan, nan, 0.2213077571123064, nan, nan, 0.8266935514170852, nan, nan, nan, nan, nan, 0.5321733037486862, 0.1086237598575426, nan, nan, nan, 0.17764306053090842, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.6124371859296482, 0.0, nan, nan, nan, 0.9673457592833405, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.013296011196641007, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0]
  • Per Category Accuracy: [0.8046025215425907, 0.8330558233283674, 0.9275152014660044, 0.847081838930551, 0.9766833720148048, 0.9471424341131182, 0.9685170298752354, 0.9812570167259719, 0.9895076096687556, 0.9631904896312408, nan, 0.8260084286574353, 0.16703022748519789, nan, nan, 0.5728285077951002, nan, 0.6947890818858561, nan, nan, 0.9260856681921443, 0.5976838849585837, 0.9607825170660191, nan, nan, 0.877902764192298, 0.9764888095105207, nan, nan, nan, nan, nan, 0.16078532846007051, nan, 0.0, nan, 0.4390161725067385, nan, nan, nan, nan, nan, nan, 0.23217077979468353, nan, nan, 0.8289671974682272, nan, nan, nan, nan, nan, 0.8216732780382258, 0.1086237598575426, nan, nan, nan, 0.17764306053090842, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6153083303281645, 0.0, nan, nan, nan, 0.9673457592833405, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.013296011196641007, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 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
0.9318 1.0 20 0.2916 0.4543 0.6104 0.9030 [0.757090402085336, 0.7731882375762819, 0.8908793360413805, 0.1527664054275354, 0.9195973891162452, 0.16413046640868223, 0.9279042647106907, 0.9158157876205901, 0.9211787977335971, 0.9482659144816975, nan, 0.7666795858479597, 0.27555311757176815, 0.0, 0.0, 0.6286692251841095, nan, 0.4524504084014002, 0.0, nan, 0.8171449046012361, 0.9924705069001888, 0.9540714444197914, nan, nan, 0.6286554799547224, 0.8838112472160357, nan, nan, nan, nan, nan, 0.6348761698605717, nan, 0.0, nan, 0.5885750962772786, nan, nan, nan, nan, nan, nan, 0.3801982667248582, nan, nan, 0.9391201792664229, nan, nan, nan, nan, nan, 0.3228922508700902, 0.06351626016260163, nan, nan, nan, 0.6948766948766949, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.8541389504804139, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.7224854716137684, 0.0, nan, nan, nan, 0.977742761473311, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.4930264993026499, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan] [0.7718560177991242, 0.8195061445433893, 0.9355203570316918, 0.8516465601565048, 0.9854602318558662, 0.8352087651761919, 0.9375295944323926, 0.9898959146004985, 0.9839212175470009, 0.9823839014428265, nan, 0.8336544250451535, 0.4696167030227485, nan, nan, 0.6749443207126948, nan, 0.641439205955335, nan, nan, 0.9010305205281006, 0.9951784635074122, 0.9850185550006872, nan, nan, 0.9154711444408217, 0.8859323547468885, nan, nan, nan, nan, nan, 0.6450819937251351, nan, 0.0, nan, 0.6179245283018868, nan, nan, nan, nan, nan, nan, 0.41457610986470866, nan, nan, 1.0, nan, nan, nan, nan, nan, 0.8196898665705012, 0.0635970490969219, nan, nan, nan, 0.7013869752916322, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.9469436250409702, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7285430941218897, 0.0, nan, nan, nan, 0.9780509910548922, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.4947515745276417, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.358 2.0 40 0.2648 0.4367 0.5955 0.9083 [0.7702341696432783, 0.768773656441056, 0.8885412077618897, 0.2813692748091603, 0.9139945857330831, 0.1786782345788557, 0.9448199240811036, 0.9165182705320892, 0.9358270651216372, 0.9491400452017247, nan, 0.7358159912376779, 0.08692919983242564, 0.0, 0.0, 0.6708966091117121, nan, 0.36234738085860574, 0.0, nan, 0.8197892588033983, 0.9910025820992201, 0.9578030508168607, nan, nan, 0.6293571794327393, 0.8798763248422724, nan, nan, nan, nan, nan, 0.8234798614794248, nan, 0.0, nan, 0.4612054612054612, nan, nan, 0.0, nan, nan, nan, 0.3806302188090449, nan, nan, 0.9435715132124659, nan, nan, nan, nan, nan, 0.43967181467181465, 0.008649198677181379, nan, nan, nan, 0.7387119355967798, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.8496329263189928, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.7909324208725407, 0.0, nan, nan, nan, 0.9716803930067909, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.43356643356643354, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan] [0.7929439186325752, 0.8167186857485692, 0.9460989114566665, 0.7691555265731985, 0.9871055290722562, 0.8050044418122594, 0.9551981588133596, 0.9793541757844462, 0.9890778871978514, 0.9831476531239104, nan, 0.8089102950030103, 0.12932377687753194, nan, nan, 0.7182628062360802, nan, 0.380479735318445, nan, nan, 0.8990880057946202, 0.9926143837320914, 0.9723278508269574, nan, nan, 0.9127993334057892, 0.8815091812245354, nan, nan, nan, nan, nan, 0.8537374260115794, nan, 0.0, nan, 0.466644204851752, nan, nan, nan, nan, nan, nan, 0.42456999116187366, nan, nan, 1.0, nan, nan, nan, nan, nan, 0.8213126577713667, 0.008649198677181379, nan, nan, nan, 0.7754202259575641, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.9151098000655523, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8335737468445726, 0.0, nan, nan, nan, 0.9716803930067909, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.4338698390482855, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.2793 3.0 60 0.2870 0.4162 0.5814 0.8955 [0.713973155874427, 0.7965737195854968, 0.8779457965401705, 0.1786823866804748, 0.9031049407573143, 0.13306080011342422, 0.8949712104653629, 0.8798668772180055, 0.9140418210693488, 0.9444516025124818, nan, 0.7374674479166666, 0.16006959547629404, 0.0, 0.0, 0.6852987012987013, nan, 0.3823088455772114, 0.0, nan, 0.8192899264392972, 0.9923064302279692, 0.9578418621339193, nan, nan, 0.6603980053862435, 0.8805556329590102, nan, nan, nan, nan, nan, 0.7359250918572953, nan, 0.0, nan, 0.3828360710693932, nan, nan, 0.0, nan, nan, nan, 0.3880670308759438, nan, nan, 0.9488334405757728, nan, nan, nan, nan, nan, 0.23578881794113066, 0.014959432048681541, nan, nan, nan, 0.5399946375904907, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.6331547809401983, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.8067641060503059, 0.0, nan, nan, nan, 0.9754239403134072, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.38838348495451364, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan] [0.7274818124028818, 0.846467308872006, 0.9580452690232044, 0.7313335507010108, 0.9861562071385515, 0.8337281610897246, 0.906299897589499, 0.9860141190797861, 0.9892927484333035, 0.9736339637051918, nan, 0.818362432269717, 0.22935493923340605, nan, nan, 0.734521158129176, nan, 0.4218362282878412, nan, nan, 0.8873999934152043, 0.9944274592058019, 0.9784670362395199, nan, nan, 0.9127993334057892, 0.8818580119439638, nan, nan, nan, nan, nan, 0.8033120936701491, nan, 0.0, nan, 0.38477088948787064, nan, nan, nan, nan, nan, nan, 0.4298048813651506, nan, nan, 1.0, nan, nan, nan, nan, nan, 0.8189686260367832, 0.01500890358687357, nan, nan, nan, 0.5549738219895288, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.6489265814487053, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8559322033898306, 0.0, nan, nan, nan, 0.9754239403134072, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.38838348495451364, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.3673 4.0 80 0.3017 0.4121 0.5854 0.8959 [0.6930239160932594, 0.821582774329195, 0.8876895483450188, 0.13995459704880817, 0.9210232458111495, 0.13345570739003332, 0.8831808124129265, 0.8573353268816851, 0.9138272583201268, 0.9376992176180817, nan, 0.75151613601906, 0.19001189060642093, 0.0, 0.0, 0.6703730645328899, 0.0, 0.2974197360646051, 0.0, nan, 0.8290362731152204, 0.9922762279954571, 0.9575418994413408, nan, nan, 0.7112122728265695, 0.8889979946061821, nan, nan, nan, nan, nan, 0.38998091603053436, nan, 0.0, nan, 0.38600602611315704, nan, nan, 0.0, nan, nan, nan, 0.30914030661750436, nan, nan, 0.9430382763716098, nan, nan, nan, nan, nan, 0.20779339295491878, 0.3257726819541376, nan, nan, nan, 0.36047684548372305, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.8134631618210015, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7669374274747836, 0.0, nan, nan, nan, 0.9710893065899567, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.4184744576627012, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.7327217827376749, 0.8850805228423316, 0.9546915209357176, 0.8040430388001304, 0.9727492188478261, 0.8719277465205804, 0.8900518659633745, 0.9929024032881092, 0.9911548791405551, 0.9671088678211492, nan, 0.8355809753160747, 0.2489872234340916, nan, nan, 0.7183741648106904, nan, 0.6244830438378826, nan, nan, 0.9210482994765088, 0.9939341960254542, 0.9815824437623127, nan, nan, 0.9140854254972286, 0.8968995925657197, nan, nan, nan, nan, nan, 0.39657793446970924, nan, 0.0, nan, 0.3884770889487871, nan, nan, nan, nan, nan, nan, 0.32490312053844583, nan, nan, 0.9938212689003868, nan, nan, nan, nan, nan, 0.8211323476379373, 0.3324853726787077, nan, nan, nan, 0.36107283916597777, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.848840544083907, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7746123332131266, 0.0, nan, nan, nan, 0.9710893065899567, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.4184744576627012, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.3958 5.0 100 0.2844 0.4108 0.5785 0.8932 [0.6971130499530577, 0.7759844211067662, 0.8892159728598072, 0.2810911731148221, 0.9235574071264019, 0.14931943394188182, 0.9214596712746272, 0.8290949347794696, 0.9015033696215656, 0.9425034743544165, nan, 0.7093385605146764, 0.1964597902097902, 0.0, 0.0, 0.5280968643278485, 0.0, 0.39581114660986866, 0.0, nan, 0.7903220919310365, 0.9904506342588486, 0.9590248266607023, nan, nan, 0.6430577721034153, 0.827307670881845, nan, nan, nan, nan, nan, 0.3877828875711001, nan, 0.0, nan, 0.45463675929025776, nan, nan, nan, nan, nan, nan, 0.33792841785759453, nan, nan, 0.9053883500665159, nan, nan, nan, nan, nan, 0.3064429889052266, 0.43461733400912317, nan, nan, nan, 0.15670065215394507, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.8583444990323061, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8072214336408801, 0.0, nan, nan, nan, 0.9739396566444681, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.3331000699790063, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.7604578683429863, 0.8340669933869478, 0.9468485727938695, 0.8835996087381807, 0.9747963762692813, 0.8186259994077584, 0.9322053495721884, 0.9832930565334044, 0.9963831692032229, 0.9683707184246791, nan, 0.8496688741721854, 0.2801495793081957, nan, nan, 0.5682628062360802, nan, 0.4611248966087676, nan, nan, 0.8587561320910019, 0.9923344235486509, 0.982223851193476, nan, nan, 0.9123555410643771, 0.8288776022771669, nan, nan, nan, nan, nan, 0.41456156806934696, nan, 0.0, nan, 0.45754716981132076, nan, nan, nan, nan, nan, nan, 0.36331497722482836, nan, nan, 1.0, nan, nan, nan, nan, nan, 0.8267219617742517, 0.43627575680488423, nan, nan, nan, 0.15670065215394507, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.9448541461815798, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.8203209520375045, 0.0, nan, nan, nan, 0.9739396566444681, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.3331000699790063, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
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0.0763 16.0 320 0.3851 0.4006 0.5551 0.8518 [0.7153059778538027, 0.7569371103862725, 0.8680917334007922, 0.175148588410104, 0.9130648023953718, 0.15358483394307978, 0.9589653253216472, 0.8792287106292459, 0.9073221689028172, 0.9341358054652235, nan, 0.7209589188029604, 0.07477461552059396, 0.0, 0.0, 0.5719146303742654, 0.0, 0.47051921384570256, nan, nan, 0.8193126324518566, 0.6164846201018512, 0.9521290900941282, nan, nan, 0.6323551580322597, 0.42311201027696926, nan, nan, nan, nan, nan, 0.215643794865162, nan, 0.0, nan, 0.40680226742247416, nan, nan, 0.0, nan, nan, nan, 0.23530177745947, nan, nan, 0.9162390210204283, nan, nan, nan, nan, nan, 0.5884248517659191, 0.15899262274230475, nan, nan, nan, 0.5106901217861975, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.5716360512212085, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.7312365975696926, 0.0, nan, nan, nan, 0.9751349647318438, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.1728481455563331, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan] [0.7799344893346518, 0.8189466304443082, 0.9628194280653916, 0.922399739158787, 0.9812436117331532, 0.9572105419010957, 0.9771338273997644, 0.9752440393507507, 0.9953088630259624, 0.9586411861395673, nan, 0.8093317278747743, 0.13181676534746026, nan, nan, 0.617706013363029, nan, 0.663358147229115, nan, nan, 0.8782800513614065, 0.6164900991858936, 0.973198332340679, nan, nan, 0.9118211788573706, 0.9513171847965619, nan, nan, nan, nan, nan, 0.21570656920141024, nan, 0.0, nan, 0.4110512129380054, nan, nan, nan, nan, nan, nan, 0.24569991161873683, nan, nan, 0.9327623449038027, nan, nan, nan, nan, nan, 0.8231157591056617, 0.15899262274230475, nan, nan, nan, 0.5199779553596032, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.5724557522123894, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7378290659935088, 0.0, nan, nan, nan, 0.9751349647318438, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.1728481455563331, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
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0.4063 18.0 360 0.4278 0.3847 0.5355 0.8529 [0.7143884223748995, 0.7623860471202557, 0.8895063117621785, 0.15164858769197723, 0.9184909290143108, 0.0688372957772665, 0.9465640969881484, 0.8664226591225802, 0.893223819301848, 0.9395075898414136, nan, 0.729230133732638, 0.1358986848514369, 0.0, 0.0, 0.5792752569826601, 0.0, 0.5139756658993752, nan, nan, 0.8304501431443017, 0.7691829484902309, 0.951791004578508, nan, nan, 0.6314232808579753, 0.5424600121150603, nan, nan, nan, nan, nan, 0.1745269426568053, nan, 0.0, nan, 0.3247491638795987, nan, nan, nan, nan, nan, nan, 0.2419600864370154, nan, nan, 0.9616261074079039, nan, nan, nan, nan, nan, 0.45268154731845267, 0.062325108114983464, nan, nan, nan, 0.40283363802559413, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0031137332022287776, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.7143369496996324, 0.0, nan, nan, nan, 0.973532463779538, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.1630510846745976, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.7807820666760842, 0.8247777111154554, 0.952999302946476, 0.9207694815780894, 0.9787887700456898, 0.8771098608232158, 0.9586448778231712, 0.9819610678743363, 0.9969561324977618, 0.9649338358598017, nan, 0.8502709211318483, 0.17388594577750077, nan, nan, 0.6212694877505568, nan, 0.6464019851116626, nan, nan, 0.8977381226747441, 0.7697571900885207, 0.9714573693132359, nan, nan, 0.9049016411259646, 0.9246525646034492, nan, nan, nan, nan, nan, 0.17631076753889446, nan, 0.0, nan, 0.32715633423180596, nan, nan, nan, nan, nan, nan, 0.25882112992045686, nan, nan, 0.9910081880745466, nan, nan, nan, nan, nan, 0.8081500180310134, 0.062325108114983464, nan, nan, nan, 0.4047947092863048, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0031137332022287776, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.7182654165164082, 0.0, nan, nan, nan, 0.973532463779538, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.1630510846745976, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
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0.1941 46.0 920 0.5889 0.3673 0.5214 0.8191 [0.7483730306999355, 0.7579889930458026, 0.8906972188764645, 0.12141895342898268, 0.9214732070316911, 0.06487727281879871, 0.952691928839257, 0.8345655444647566, 0.926780273862533, 0.9395429329279141, nan, 0.7101980550888448, 0.1662119145065939, 0.0, 0.0, 0.5557758530731504, 0.0, 0.5298879202988792, nan, nan, 0.8438793077410975, 0.500193304981936, 0.9478852303950273, nan, nan, 0.6233292676729176, 0.3525994406776251, nan, nan, nan, nan, nan, 0.20286573729663293, nan, 0.0, nan, 0.44744744744744747, nan, nan, nan, nan, nan, nan, 0.22586073000258866, nan, nan, 0.7885857635622452, nan, nan, nan, nan, nan, 0.5053161723559038, 0.15136097685067412, nan, nan, nan, 0.2035268185157972, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.6412419239052405, 0.0, nan, nan, nan, 0.968501661609594, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.005598320503848845, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.8046113504732307, 0.8277134748522006, 0.9369144640798236, 0.8526247147049234, 0.9743246273329004, 0.9541012733195143, 0.963870015746991, 0.9816185565048617, 0.9912981199641898, 0.9645021501270152, nan, 0.8397953040337146, 0.22779682143970084, nan, nan, 0.5930957683741648, nan, 0.7038875103391232, nan, nan, 0.9198959602278339, 0.5001955277471648, 0.9641269986713703, nan, nan, 0.8886896351845814, 0.9781352905062232, nan, nan, nan, nan, nan, 0.20286573729663293, nan, 0.0, nan, 0.45181940700808626, nan, nan, nan, nan, nan, nan, 0.23726969882384935, nan, nan, 0.7895463907168333, nan, nan, nan, nan, nan, 0.8141002524341868, 0.15136097685067412, nan, nan, nan, 0.20354551299715257, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.644248106743599, 0.0, nan, nan, nan, 0.968501661609594, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.005598320503848845, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.0397 47.0 940 0.5826 0.3722 0.5259 0.8301 [0.7543159542047607, 0.7611848175957387, 0.8885425605303451, 0.12246522736851964, 0.921481054207353, 0.06353947926217306, 0.9528460413188534, 0.8337871567960063, 0.932409187493676, 0.9398647117843156, nan, 0.7088026912686681, 0.16915308698645856, 0.0, 0.0, 0.5536681950812838, 0.0, 0.5216331505179769, nan, nan, 0.8455520314151941, 0.5822902364352969, 0.9473091138555846, nan, nan, 0.6281395751669628, 0.39834434441287553, nan, nan, nan, nan, nan, 0.24161464566419769, nan, 0.0, nan, 0.437875751503006, nan, nan, nan, nan, nan, nan, 0.2386283214308692, nan, nan, 0.8440447192555118, nan, nan, nan, nan, nan, 0.4958479020979021, 0.12846603917578225, nan, nan, nan, 0.20857431377949143, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.6230258435032304, 0.0, nan, nan, nan, 0.970077892054485, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.034289713086074175, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.8085667113999152, 0.8313469459293664, 0.9260509506670233, 0.8526247147049234, 0.9769250705439382, 0.9542493337281611, 0.9647289425289888, 0.9788784655490648, 0.9899731423455684, 0.9642863072606219, nan, 0.8372065021071644, 0.2296665627921471, nan, nan, 0.5916481069042316, nan, 0.7080231596360629, nan, nan, 0.9216080071115793, 0.5823394006185787, 0.9628899986255555, nan, nan, 0.8867695540339818, 0.9742283864486242, nan, nan, nan, nan, nan, 0.24161464566419769, nan, 0.0, nan, 0.441711590296496, nan, nan, nan, nan, nan, nan, 0.25215854238901353, nan, nan, 0.8485708544733008, nan, nan, nan, nan, nan, 0.8182473855030653, 0.12846603917578225, nan, nan, nan, 0.2086892624230734, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6259466282005048, 0.0, nan, nan, nan, 0.970077892054485, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.034289713086074175, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.1314 48.0 960 0.5927 0.3630 0.5141 0.8196 [0.7502280881913731, 0.7590688050299019, 0.8910077057631726, 0.11483274455929172, 0.9221333362696896, 0.06396252720689274, 0.9568111724078016, 0.8306528367021019, 0.9325250751409949, 0.9385486611115605, nan, 0.7058311575282855, 0.14699219733199093, 0.0, 0.0, 0.5370622059592264, 0.0, 0.5270981728089191, nan, nan, 0.8434542586750788, 0.503899428083881, 0.9486080404277399, nan, nan, 0.623828844972353, 0.35694982365245537, nan, nan, nan, nan, nan, 0.1631141443218941, nan, 0.0, nan, 0.39732441471571905, nan, nan, nan, nan, nan, nan, 0.22156659317857605, nan, nan, 0.8027879456450885, nan, nan, nan, nan, nan, 0.5537351754493214, 0.09310607987789367, nan, nan, nan, 0.1848994213281896, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.592964824120603, 0.0, nan, nan, nan, 0.967175000985144, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.00489853044086774, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.8094937491171069, 0.8333827683139751, 0.9312021323700258, 0.8584936419954353, 0.9754603192167803, 0.9441812259401836, 0.9702238715574104, 0.9798298860198276, 0.9888272157564906, 0.9631074731441664, nan, 0.8300421432871764, 0.18198815830476783, nan, nan, 0.5720489977728285, nan, 0.7038875103391232, nan, nan, 0.9155170710828696, 0.5039016673184258, 0.9632107023411371, nan, nan, 0.8828478788537478, 0.978623653513423, nan, nan, nan, nan, nan, 0.1631141443218941, nan, 0.0, nan, 0.4002695417789757, nan, nan, nan, nan, nan, nan, 0.2323067509687946, nan, nan, 0.8042397146732305, nan, nan, nan, nan, nan, 0.8166245943021998, 0.09310607987789367, nan, nan, nan, 0.1848994213281896, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.5957446808510638, 0.0, nan, nan, nan, 0.967175000985144, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.00489853044086774, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.0773 49.0 980 0.5931 0.3656 0.5183 0.8231 [0.7494730094550116, 0.7586128250805959, 0.8910898955811202, 0.11396943485860261, 0.9215884404968075, 0.06435698280799414, 0.9525378930022352, 0.8325239977413891, 0.9279983887751334, 0.9375919786528665, nan, 0.7062682589308595, 0.15715622076707203, 0.0, 0.0, 0.5481613038027581, 0.0, 0.5298669142680285, nan, nan, 0.8440275812230887, 0.5403785222611794, 0.9478307879443169, nan, nan, 0.6218709833416053, 0.37128555706061633, nan, nan, nan, nan, nan, 0.20014878545783873, nan, 0.0, nan, 0.4174465240641711, nan, nan, nan, nan, nan, nan, 0.22923931292780575, nan, nan, 0.8003159438823485, nan, nan, nan, nan, nan, 0.5039475147336817, 0.08038667005850929, nan, nan, nan, 0.19132910811059062, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.6223418573351278, 0.0, nan, nan, nan, 0.9677004111334411, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0244926522043387, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.8051719875688657, 0.8296245862629177, 0.9341788577966971, 0.8291490055428757, 0.9747148394160796, 0.948326917382292, 0.9643435266652718, 0.9819420394649211, 0.9900089525514771, 0.9625927709243056, nan, 0.8296207104154124, 0.20941103147397944, nan, nan, 0.5842984409799554, nan, 0.7080231596360629, nan, nan, 0.9228920422743885, 0.5403809236019766, 0.9638979245888121, nan, nan, 0.885157410426403, 0.9790980632918458, nan, nan, nan, nan, nan, 0.20014878545783873, nan, 0.0, nan, 0.42082210242587603, nan, nan, nan, nan, nan, nan, 0.241348834047182, nan, nan, 0.801652684985181, nan, nan, nan, nan, nan, 0.8171655247024883, 0.08038667005850929, nan, nan, nan, 0.19132910811059062, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6253155427335017, 0.0, nan, nan, nan, 0.9677004111334411, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0244926522043387, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
0.3419 50.0 1000 0.5845 0.3672 0.5180 0.8290 [0.7471836875245966, 0.7577637085524198, 0.8895546109310157, 0.11085509472606246, 0.9216125389161993, 0.06317712705545406, 0.9563222390153204, 0.830028328611898, 0.9289316210582935, 0.9387814548102598, nan, 0.7060518731988472, 0.1376830208065759, 0.0, 0.0, 0.5381879054195439, 0.0, 0.527306967984934, nan, nan, 0.8465404640804165, 0.5976121816945779, 0.9477989695381, nan, nan, 0.6212450409224044, 0.4029468326443188, nan, nan, nan, nan, nan, 0.16078532846007051, nan, 0.0, nan, 0.434913217623498, nan, nan, nan, nan, nan, nan, 0.2213077571123064, nan, nan, 0.8266935514170852, nan, nan, nan, nan, nan, 0.5321733037486862, 0.1086237598575426, nan, nan, nan, 0.17764306053090842, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.6124371859296482, 0.0, nan, nan, nan, 0.9673457592833405, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.013296011196641007, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0] [0.8046025215425907, 0.8330558233283674, 0.9275152014660044, 0.847081838930551, 0.9766833720148048, 0.9471424341131182, 0.9685170298752354, 0.9812570167259719, 0.9895076096687556, 0.9631904896312408, nan, 0.8260084286574353, 0.16703022748519789, nan, nan, 0.5728285077951002, nan, 0.6947890818858561, nan, nan, 0.9260856681921443, 0.5976838849585837, 0.9607825170660191, nan, nan, 0.877902764192298, 0.9764888095105207, nan, nan, nan, nan, nan, 0.16078532846007051, nan, 0.0, nan, 0.4390161725067385, nan, nan, nan, nan, nan, nan, 0.23217077979468353, nan, nan, 0.8289671974682272, nan, nan, nan, nan, nan, 0.8216732780382258, 0.1086237598575426, nan, nan, nan, 0.17764306053090842, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.6153083303281645, 0.0, nan, nan, nan, 0.9673457592833405, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.013296011196641007, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Dataset used to train nommis/segformer-b0-scene-parse-150

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