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segformer-b0-scene-parse-150_epoch_800_230609

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PyTorch
segformer
generated_from_trainer
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segformer-b0-scene-parse-150_epoch_800_230609

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: 3.8271
  • Mean Iou: 0.0744
  • Mean Accuracy: 0.2072
  • Overall Accuracy: 0.4220
  • Per Category Iou: [0.501232010557704, 0.5516945572424972, 0.30339537001175504, 0.3561498486096415, 0.17926212776450925, 0.41521929122712, 0.022357896363847135, 0.14456232554795104, 0.6096779598538923, 0.1801962533452275, 0.07653157994562812, 0.39338028513437506, 0.23253295537338806, 0.0, 0.0, 0.028717201166180758, 0.0, 0.0026822920824485495, 0.02444039190445541, 0.07505241709240174, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.004311856875584659, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.10147744945567652, 0.0, 0.0, 0.41222728555873694, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
  • Per Category Accuracy: [0.767430856324387, 0.601685910937265, 0.3102056412394053, 0.9619138846887642, 0.2639985473522805, 0.8389792568273392, 0.022379515742244914, 0.7226651852820077, 0.7291534743541445, 0.2678771804549628, 0.1563852464311091, 0.9120623671155209, 0.24849598788281044, nan, 0.0, 0.03176778875226769, nan, 0.002978195355433434, 0.033374838252887035, 0.27018551001966723, nan, nan, nan, 0.0, nan, nan, nan, 0.004835669207442013, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.20243019648397104, nan, nan, 0.5247163903290385, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 800

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Per Category Iou Per Category Accuracy
3.2296 10.0 100 3.6973 0.0677 0.1732 0.4418 [0.5067850430027909, 0.5344790715654584, 0.19384134857688534, 0.4612318640193205, 0.5504812610875678, 0.36840530269024746, 0.0, 0.08109675081531587, 0.03207866748040513, 0.04368635437881874, 0.005856090914361918, 0.34650094677893717, 0.034397318790416534, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022905088221011168, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7585875422023668, 0.6110134271099744, 0.40614839516465195, 0.9902944133503273, 0.8775236391515461, 0.9185942396657215, 0.0, 0.8775897000196066, 0.03749689396186186, 0.043762113638682036, 0.006524126348427104, 0.9752515946137491, 0.034670989371931346, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.04512836868123107, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
2.2743 20.0 200 3.2022 0.0749 0.1635 0.3922 [0.5324160681256488, 0.6193403067818657, 0.16116128226542925, 0.45012014431837155, 0.18364659273075126, 0.49944490307153633, 0.0, 0.08774446711662219, 0.0, 0.169232327324286, 0.039146816527236734, 0.360638436804004, 0.06496340238042185, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0531513666938839, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.8613971967397606, 0.7006450278321047, 0.28689037098791165, 0.9817129647954781, 0.2827518258974807, 0.8727553101527136, 0.0, 0.913371675053918, 0.0, 0.1704580230541671, 0.03959692526322589, 0.9655090952043468, 0.0657425607774062, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0726625205974592, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
2.1657 30.0 300 2.9946 0.0781 0.1593 0.3891 [0.5321718964802125, 0.6220417211489336, 0.26247065819536164, 0.4036110594810692, 0.1858677946786585, 0.4173911700665565, 0.0, 0.08788243169158916, 0.000230206233032213, 0.2129794034090909, 0.0, 0.36426040258649034, 0.05935813926316624, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.053858946254441, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.8696522354465778, 0.675436287046788, 0.2913088786994581, 0.9798605118786564, 0.2950623427979609, 0.672262846341342, 0.0, 0.9481406444023266, 0.00023245188646729242, 0.2447210037743548, 0.0, 0.942206472950626, 0.06052212833669449, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.07574549513634189, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
1.5913 40.0 400 2.9703 0.0884 0.1810 0.4092 [0.5452514378712536, 0.6503614860629362, 0.21253727663649769, 0.5137556173764177, 0.18892181364587546, 0.36876593070217295, 0.0, 0.09017860543051906, 0.12581673246164496, 0.4768626309662398, 0.033241946538725156, 0.36799133427162933, 0.16516527528224936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.060512895590854744, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.8504863929338744, 0.7316505566420942, 0.3114422676115048, 0.9502845969331613, 0.28748974403809163, 0.7880415858329602, 0.0, 0.8511861969805895, 0.13258574669156842, 0.668570845659492, 0.05639170596214715, 0.9438034490904795, 0.17247423820828972, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.13182373890394938, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
1.3105 50.0 500 2.9799 0.0890 0.1762 0.3974 [0.5089479875940252, 0.6846175629484567, 0.2134251187398545, 0.4270691091621236, 0.18903741237912028, 0.43369075801884605, 0.0, 0.08407402822480813, 0.3064203253391068, 0.3567489607194367, 0.027794292508917955, 0.36557916593037637, 0.1670422781967461, 0.0, 0.0, 0.0, 0.0, 7.090941322460557e-05, 0.0, 0.06055227222300664, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7303055621866794, 0.8069805927486084, 0.24662359316381827, 0.9779763931000087, 0.2699638183114315, 0.6971347560065662, 0.0, 0.8877197568786354, 0.3380651987463629, 0.42895032133020505, 0.03623796912344164, 0.9383699503897944, 0.17849028667704797, nan, 0.0, 0.0, nan, 7.090941322460557e-05, 0.0, 0.15957050975389359, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
1.1609 60.0 600 2.7672 0.0971 0.1850 0.4187 [0.5430925303975345, 0.6786886076590786, 0.23576660253812032, 0.5033148830222844, 0.18894547184606303, 0.5146605225017652, 0.0, 0.08336613505259587, 0.4345118450655552, 0.45425960499164786, 0.022937625754527163, 0.3746513236400672, 0.1704665758470395, 0.0, 0.0, 0.0, 0.0, 0.004503796805446452, 0.0, 0.06472969957172765, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.8034115711216451, 0.7556275387392809, 0.286918160344588, 0.968207474726684, 0.2884514506301532, 0.688902153907377, 0.0, 0.8028233448794196, 0.49383200942632477, 0.4715903294909721, 0.02945546153349267, 0.9315851641861564, 0.18154511185425334, nan, 0.0, 0.0, nan, 0.004573657152987059, 0.0, 0.3237654813161112, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.9025 70.0 700 2.9312 0.0916 0.1996 0.4132 [0.5151394922387289, 0.6238110964332892, 0.2563785280773084, 0.4643489671231526, 0.18874172185430463, 0.47769865674057294, 0.0, 0.11482144466909634, 0.3510014534368464, 0.38918597742127153, 0.11413561591042778, 0.36849566038085013, 0.23772491434165444, 0.0, 0.0, 0.0, 0.0, 0.003868962138235145, 0.0, 0.10904418988804077, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7610365583330492, 0.7104332781706033, 0.30227872724746424, 0.969292030494225, 0.26603628929210327, 0.7341441575884197, 0.0, 0.874060518920332, 0.39682743252883607, 0.4677139651127206, 0.3634778115108843, 0.9408173871958422, 0.25829440345816423, nan, 0.0, 0.0, nan, 0.004059563907108669, 0.0, 0.5368628076330197, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.7327 80.0 800 2.8415 0.0944 0.2006 0.4153 [0.5345656955413646, 0.6784546780083235, 0.2820506524914986, 0.5223088223465011, 0.19393971634486395, 0.3824550849079822, 0.0, 0.11781012410872124, 0.2214453980630674, 0.665730845861257, 0.06367007325676043, 0.3753507495160782, 0.2778013194571332, 0.0, 0.0, 0.0009873657484836883, 0.0, 0.03385373044323093, 0.0, 0.08008391004063085, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.00037442778978899184, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.005737664022351943, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.750618115472496, 0.7503337972017452, 0.3192302348200639, 0.9766780927651422, 0.28195824982850687, 0.6957170571556485, 0.0, 0.847134174236978, 0.25769295510472356, 0.7498724880138733, 0.09095019701569666, 0.945504370422868, 0.3040274338617585, nan, 0.0, 0.0009877040919169522, nan, 0.035826981031731965, 0.0, 0.6108010418327752, nan, nan, nan, 0.0, nan, nan, nan, 0.0005081550692566183, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0059031877213695395, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.5396 90.0 900 2.9683 0.0975 0.1971 0.4129 [0.527361734969971, 0.6539254866572128, 0.2806172855769104, 0.535851377523424, 0.19172870067551007, 0.39952192776411416, 0.0, 0.09640475316687969, 0.32768254153990173, 0.4265555372173626, 0.13919916125650228, 0.3769124731117642, 0.23602246365069893, 0.0, 0.0, 0.0018454577925943565, 0.0, 0.005485415759686548, 0.0, 0.07707186116072844, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.20891488652771092, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7602372710841319, 0.7154308334587032, 0.2959913852994303, 0.9724981990041086, 0.29195192812083876, 0.7191712679699548, 0.0, 0.7468139337298216, 0.35914618017425876, 0.527287565031113, 0.22298301143336993, 0.9404772029293645, 0.2540908278661323, nan, 0.0, 0.001874622052005644, nan, 0.005584116291437688, 0.0, 0.3876043161643544, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.2896668548842462, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.4233 100.0 1000 2.8725 0.1074 0.2190 0.4346 [0.5427704533568795, 0.6860671313636614, 0.2958787323466725, 0.5335683842128972, 0.19378123649739942, 0.4936863913378801, 0.0, 0.11369801412884227, 0.34249730653490357, 0.5345016429353778, 0.12806125816885602, 0.3732073697129115, 0.319589494762785, 0.0, 0.0, 0.009386696239380557, 0.0, 0.01352755827573123, 0.0, 0.0630176876617774, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.296577373473388, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7808780650001705, 0.762120129381676, 0.30958732805335554, 0.9751977137247761, 0.2820086889854332, 0.8119683629309058, 0.0, 0.7683811515587217, 0.3694782657486153, 0.7964908701417933, 0.25062980427620957, 0.9224190881171745, 0.35309609509951584, nan, 0.0, 0.009554525297319089, nan, 0.01453642971104414, 0.0, 0.31058310742571626, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.6058210564139418, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
0.4377 110.0 1100 2.9822 0.1031 0.2231 0.4214 [0.513876017271641, 0.6456354512146417, 0.3086308209639618, 0.5510319708619992, 0.18929543883737435, 0.42168031530047817, 0.0, 0.12145227311260202, 0.3704750516360474, 0.5476564957533816, 0.09725908914670882, 0.3808212434037447, 0.28266283748550436, 0.0, 0.0, 0.009217035090431288, 0.0, 0.019630932275607752, 0.0, 0.05831007425351519, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.32763133295943164, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7351140742761655, 0.6992158116443509, 0.31563151313047105, 0.9701153429017012, 0.27444617805694915, 0.9233945182311097, 0.0, 0.8192928566760342, 0.4097565667657927, 0.8879934713863104, 0.21064530715070087, 0.9356201275691, 0.3090436440065011, nan, 0.0, 0.009614996976416046, nan, 0.022460556638893812, 0.0, 0.2354223143570935, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.7196755813356603, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
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0.5676 130.0 1300 3.0132 0.1058 0.2216 0.4366 [0.5494331820597236, 0.6801446164852573, 0.30748785444170806, 0.5038758422188788, 0.19470465632944733, 0.42181896104481986, 0.0, 0.12211634349030472, 0.5070865051903114, 0.5412557943531395, 0.07391626528343831, 0.3719786649862718, 0.2512288869424013, 0.0, 0.0, 0.014870438529972071, 0.0, 0.013362515839189033, 0.0, 0.06562596894602524, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0009910335063709297, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.009202453987730062, nan, nan, 0.34137487363293817, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 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, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.7669214439177438, 0.7508885587483075, 0.31747255801028207, 0.9756568687212533, 0.28585551535367937, 0.9302342933890464, 0.0, 0.7202797202797203, 0.5873337768622201, 0.6551055799245129, 0.12886764420903044, 0.9371226080793763, 0.2672461474314792, nan, 0.0, 0.016206409997984277, nan, 0.01439461088459493, 0.0, 0.29251049805985224, nan, nan, nan, 0.0, nan, nan, nan, 0.0010327022375215145, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.009307135470527405, nan, nan, 0.7626918536009445, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]
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0.0342 800.0 8000 3.8271 0.0744 0.2072 0.4220 [0.501232010557704, 0.5516945572424972, 0.30339537001175504, 0.3561498486096415, 0.17926212776450925, 0.41521929122712, 0.022357896363847135, 0.14456232554795104, 0.6096779598538923, 0.1801962533452275, 0.07653157994562812, 0.39338028513437506, 0.23253295537338806, 0.0, 0.0, 0.028717201166180758, 0.0, 0.0026822920824485495, 0.02444039190445541, 0.07505241709240174, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.004311856875584659, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.10147744945567652, 0.0, 0.0, 0.41222728555873694, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] [0.767430856324387, 0.601685910937265, 0.3102056412394053, 0.9619138846887642, 0.2639985473522805, 0.8389792568273392, 0.022379515742244914, 0.7226651852820077, 0.7291534743541445, 0.2678771804549628, 0.1563852464311091, 0.9120623671155209, 0.24849598788281044, nan, 0.0, 0.03176778875226769, nan, 0.002978195355433434, 0.033374838252887035, 0.27018551001966723, nan, nan, nan, 0.0, nan, nan, nan, 0.004835669207442013, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.20243019648397104, nan, nan, 0.5247163903290385, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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Dataset used to train manadopeee/segformer-b0-scene-parse-150_epoch_800_230609

Evaluation results

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