--- license: other tags: - generated_from_trainer datasets: - scene_parse_150 model-index: - name: segformer-b0-scene-parse-150_epoch_800_230609 results: [] --- # segformer-b0-scene-parse-150_epoch_800_230609 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/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 | 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| 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, 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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, 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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