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segformer-b0-scene-parse-150

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segformer-b0-scene-parse-150

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: 2.9069
  • Mean Iou: 0.0635
  • Mean Accuracy: 0.1208
  • Overall Accuracy: 0.4617
  • Per Category Iou: [0.41928714602092204, 0.5390214194468376, 0.9012448258150285, 0.4803948505715545, 0.286634627489022, 0.3955429610634541, 0.013755700264604875, 0.0, 0.15830383993025027, 0.0, 0.0, 0.05008873442525973, 0.5408022058058475, 0.0, 0.0, 0.015204209024433743, 0.0, 0.0, 0.011558359136104005, 0.005458675263774912, 0.0, 0.0, 0.02979897667822854, 0.04487737341772152, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.10603847090333576, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
  • Per Category Accuracy: [0.8627759743647633, 0.5675831029534248, 0.9798871578394094, 0.9012946287138017, 0.9550220818632652, 0.5924650130435409, 0.05558715352822963, nan, 0.230359005236165, 0.0, 0.0, 0.059625456626028785, 0.9366147691642339, nan, 0.0, 0.02054093126920065, 0.0, 0.0, 0.0285415776226433, 0.00626893301918546, 0.0, nan, 0.03166877112948556, 0.05442682722060975, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.23869553302274596, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 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
4.9809 1.0 20 4.9704 0.0048 0.0277 0.0613 [0.004911874635991639, 0.03406250112083096, 0.2670554804708638, 0.06771658036261965, 0.04212671608698573, 0.025069857985360353, 0.06205384643258325, 0.0, 0.0003841762088211126, 0.0, 0.005606722085999641, 0.0, 0.04597345406633831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0442952626641651, 0.00582620230447109, 0.0, 0.0, 0.0493881593227697, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.002515785319652723, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.00015083714616119463, 0.001783657619275733, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0] [0.004944155329196129, 0.037135807489725774, 0.8389822852590688, 0.07646954588656024, 0.04640892156620858, 0.025150252943804678, 0.12986766769044097, nan, 0.0003870676400701022, 0.0, 0.006472659486329743, 0.0, 0.046842901935344364, nan, 0.0, 0.0, 0.0, 0.0, 0.07175761029586361, 0.009424436216762033, 0.0, nan, 0.1482831656551668, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.013976431899150453, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0002481184351997353, 0.03814298169136879, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
4.5728 2.0 40 4.7881 0.0176 0.0770 0.2450 [0.2507255484460695, 0.2977284139484906, 0.23862898391447698, 0.2739403815702492, 0.23710310856686415, 0.17133881711748083, 0.05086156794370356, 0.0, 0.011658808401200172, 0.0, 0.00037139629532195414, 0.0, 0.39436900130239655, 0.0, 0.0, 0.0, 0.0, 0.0, 0.14939800879833295, 0.004368882283605801, 0.000995317800768217, 0.0, 0.05839388398904878, 0.017299836033682573, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.028484399440190995, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.001430474029497361, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0] [0.3330531771794789, 0.4474675154553311, 0.941542176194739, 0.478411220473498, 0.5273000912881498, 0.1957395903895767, 0.12277708262237895, nan, 0.013160299762383476, 0.0, 0.00041425020712510354, 0.0, 0.4283345947309619, nan, 0.0, 0.0, 0.0, 0.0, 0.24514413259248705, 0.014347021204981488, 0.06484018264840183, nan, 0.12553460144189646, 0.029863992899805705, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.18964099753357083, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.002398478206930775, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
4.2574 3.0 60 4.4704 0.0274 0.1005 0.3626 [0.3635850414549168, 0.37010164682793634, 0.3855682341569739, 0.2844444257208637, 0.2643699799196787, 0.25330901424005625, 0.013256218650834272, 0.0, 0.007188262747096532, 0.0, 0.0, 0.001604540741145009, 0.5977800636317968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.052051926298157455, 0.007228346456692914, 0.009877098144051858, 0.0, 0.03977203005058424, 0.011193484771017457, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021203910943574038, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0] [0.6268206197458863, 0.5427333549701451, 0.9762653679689233, 0.725110212585445, 0.8315610273617725, 0.436360491763112, 0.01964129981420392, nan, 0.008644510628232283, 0.0, 0.0, 0.0016174464152105981, 0.6754514001513677, nan, 0.0, 0.0, 0.0, 0.0, 0.059030251222871255, 0.01931167956916863, 0.3812785388127854, nan, 0.059406948800456195, 0.014704118592434454, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.04932858317347218, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
3.9015 4.0 80 4.1496 0.0405 0.1007 0.3998 [0.3742520572877334, 0.3849514335203841, 0.5440203329288118, 0.35316902028787084, 0.21878976145989754, 0.22397186573235703, 0.013087026363035057, 0.0, 0.00026723412678774684, 0.0, 0.0, 0.0016120830493254136, 0.6405065062263887, 0.0, 0.0, 0.0008228460793804453, 0.0, 0.0, 0.0, 0.006625088524889773, 0.010328673134383416, 0.0, 0.007047043264689212, 0.001141891428962934, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, 0.017049180327868854, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 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, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.7474724286502987, 0.6091844355724827, 0.9756247792843474, 0.7534996858739952, 0.941846981322938, 0.3689952870299641, 0.042012664467447766, nan, 0.00029030073005257667, 0.0, 0.0, 0.001639452488886933, 0.8248999891880203, nan, 0.0, 0.0020480693934100355, 0.0, 0.0, 0.0, 0.012201279030629418, 0.1278538812785388, nan, 0.007596431917233514, 0.0011993571445705101, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.02137571937517128, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
3.8982 5.0 100 4.0155 0.0454 0.1041 0.4049 [0.36889651396953876, 0.4398856429680584, 0.6636428229151176, 0.33495076670806645, 0.23050444953925636, 0.22171489032678143, 0.015416709650057885, 0.0, 0.002850158836976852, 0.0, 0.0, 0.012147050002142336, 0.5406326394547745, 0.0, 0.0, 0.00044155958846646355, 0.0, 0.0, 0.0027756749936916477, 0.006107094000390854, 0.019520958083832335, 0.0, 0.01822783018033164, 0.0022817025010969725, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.026120937885643767, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.7159330433116354, 0.5926244540289438, 0.9895370514852624, 0.8862595378857441, 0.9004465717598875, 0.39261778821901616, 0.0509991278959542, nan, 0.003096541120560818, 0.0, 0.0, 0.012477443774481758, 0.85481313295131, nan, 0.0, 0.0006023733510029517, 0.0, 0.0, 0.003134349622453341, 0.010518343991921912, 0.14885844748858448, nan, 0.02097674229155635, 0.0024946628607066612, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0348040559057276, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
3.6283 6.0 120 3.7910 0.0497 0.0968 0.4168 [0.3622566785407158, 0.46462399117235714, 0.8341980470183569, 0.25461895042570054, 0.23580142187752465, 0.22646461900454185, 0.001589825119236884, 0.0, 0.0011174951241368404, 0.0, 0.0, 0.006928185262440935, 0.6226330176253732, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003520390379923318, 0.01504907306434024, 0.0, 0.00018081002892960464, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.8423599899067896, 0.7079812463585636, 0.9520626134375796, 0.6176093131648329, 0.8641533640916829, 0.3481832725595607, 0.0018958783604443939, nan, 0.0011396991624286344, 0.0, 0.0, 0.0071629769816469345, 0.8475961365192634, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0042494109727364525, 0.031506849315068496, nan, 0.0001832919229359293, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
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1.5732 48.0 960 2.8888 0.0647 0.1203 0.4644 [0.41528233229777933, 0.5486457742747138, 0.8974603436756327, 0.49323992025137897, 0.28029349194633785, 0.3990796269551808, 0.011545940690325718, 0.0, 0.15427116913204844, 0.0, 0.0, 0.048772232959555385, 0.5637565075892096, 0.0, 3.0967102614655695e-05, 0.01218417945690673, 0.0, 0.0, 0.011959057567414196, 0.0011873399873845126, 0.0, 0.0, 0.03245594044363415, 0.04846399903434124, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0902263705610986, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.8764776972302485, 0.5789424291361829, 0.9818089238931367, 0.8993561759320414, 0.95571291110508, 0.5874493752071833, 0.04682819550297653, nan, 0.21765028438719666, 0.0, 0.0, 0.06025262972580432, 0.9239647529462645, nan, 3.0967102614655695e-05, 0.015541232455876151, 0.0, 0.0, 0.02702189295721138, 0.0013463480309660047, 0.0, nan, 0.034805099588611464, 0.05778502722540718, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.23047410249383393, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
1.7336 49.0 980 2.8839 0.0646 0.1219 0.4641 [0.42124436649111535, 0.5461265174255733, 0.901155598467248, 0.44400077150438144, 0.30278251801289346, 0.4082709202643832, 0.014376293632285316, 0.0, 0.15661008171689247, 0.0, 0.0, 0.0460897067280046, 0.5467434298651567, 0.0, 0.00021673615984807828, 0.007981450929682972, 0.0, 0.0, 0.01957213510715792, 0.0010473946059177796, 0.0, 0.0, 0.03429535927588381, 0.051096956829440904, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.101363236587511, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.8520718591048536, 0.5968788247300938, 0.9811519098576743, 0.9147134472778431, 0.9455725247341541, 0.6084992000922416, 0.05820346566564289, nan, 0.22110163751115508, 0.0, 0.0, 0.05291360415474671, 0.9377860669621941, nan, 0.0002167697183025899, 0.010782482982952835, 0.0, 0.0, 0.04848743885643729, 0.0011780545270952542, 0.0, nan, 0.03765630727872592, 0.060615510086593584, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.2526719649218964, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]
1.4673 50.0 1000 2.9069 0.0635 0.1208 0.4617 [0.41928714602092204, 0.5390214194468376, 0.9012448258150285, 0.4803948505715545, 0.286634627489022, 0.3955429610634541, 0.013755700264604875, 0.0, 0.15830383993025027, 0.0, 0.0, 0.05008873442525973, 0.5408022058058475, 0.0, 0.0, 0.015204209024433743, 0.0, 0.0, 0.011558359136104005, 0.005458675263774912, 0.0, 0.0, 0.02979897667822854, 0.04487737341772152, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.10603847090333576, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan] [0.8627759743647633, 0.5675831029534248, 0.9798871578394094, 0.9012946287138017, 0.9550220818632652, 0.5924650130435409, 0.05558715352822963, nan, 0.230359005236165, 0.0, 0.0, 0.059625456626028785, 0.9366147691642339, nan, 0.0, 0.02054093126920065, 0.0, 0.0, 0.0285415776226433, 0.00626893301918546, 0.0, nan, 0.03166877112948556, 0.05442682722060975, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.23869553302274596, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan]

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Safetensors
Model size
3.75M params
Tensor type
F32
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Finetuned from

Dataset used to train sanya94/segformer-b0-scene-parse-150

Evaluation results

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