--- license: other base_model: nvidia/mit-b0 tags: - vision - image-segmentation - generated_from_trainer datasets: - scene_parse_150 model-index: - name: segformer-b0-scene-parse-150 results: [] widget: - src: >- https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg example_title: Brugge --- # segformer-b0-scene-parse-150 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: 3.0525 - Mean Iou: 0.1015 - Mean Accuracy: 0.2169 - Overall Accuracy: 0.4616 - Per Category Iou: [0.34045162242855737, 0.7291843871089689, 0.9061074335808211, 0.18572020099152836, 0.4578105764508816, 0.39799372587122017, 0.0, 0.0, 0.033593326610552025, 0.0, 0.15950418598600644, 0.0, 0.3669852324924148, 0.0, 0.1227402765740407, 0.0, nan, nan, 0.5562152967230478, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.005984061681866567, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] - Per Category Accuracy: [0.5003601426104463, 0.9645831922529966, 0.949191388344435, 0.949915285282535, 0.6472456821121509, 0.5618716163959784, 0.0, nan, 0.7732512237486183, 0.0, 0.31238739968335427, nan, 0.3816776355798208, 0.0, 0.1537744551639313, nan, nan, nan, 0.5690549681486833, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.39543726235741444, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 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: 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 | 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| 4.8643 | 1.0 | 20 | 4.9256 | 0.0047 | 0.0363 | 0.0832 | [0.11197739194588072, 0.10704441660267551, 0.005801050687138909, 0.18554697008686702, 0.01567552928806971, 0.0551839077799125, 0.0, 0.0, 0.0, 0.0, 0.030690007250773168, 0.0, 0.010208318693744051, 0.0, 0.018933577409813992, 0.0, 0.0, nan, 0.0, 0.0, 0.0010494402985074627, 0.0002910763274899761, 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, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0023886813254118946, 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, nan, nan, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 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, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan] | [0.21590474152610054, 0.13796875569747513, 0.008644452947469525, 0.6108274567268065, 0.01871718785665373, 0.06957638372076055, 0.0, nan, 0.0, 0.0, 0.03774271623810304, nan, 0.010797735043312566, 0.0, 0.024051581658146595, nan, nan, nan, 0.0, 0.0, 0.004161849710982659, 0.000497370155303831, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.059907834101382486, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 4.662 | 2.0 | 40 | 4.6768 | 0.0144 | 0.0984 | 0.2252 | [0.21798287459973156, 0.3893503555268261, 0.010417876172414239, 0.17886888769478776, 0.2628649977882525, 0.2167303655057329, 0.0, 0.0, 0.0, 0.0, 0.0032705537385812563, 0.0, 0.004773870853599295, 0.0, 0.032262291263266706, 0.0, 0.0, nan, 1.6321201240411293e-05, 0.0008923139322652606, 0.01571109102155398, 0.0033341538186130817, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, nan] | [0.49094218731634987, 0.6275166561616078, 0.012611374444591946, 0.853603809872699, 0.5256124933424636, 0.29375884661967927, 0.0, nan, 0.0, 0.0, 0.004221943185747302, nan, 0.005378596429584983, 0.0, 0.04258753891686205, nan, nan, nan, 1.6418204505155317e-05, 0.003076062639821029, 0.38173410404624275, 0.005558111485520312, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 4.1704 | 3.0 | 60 | 4.3865 | 0.0248 | 0.1120 | 0.2592 | [0.20456827277133952, 0.5318734012069714, 0.0075475358247506005, 0.13631312744271593, 0.38641701968795855, 0.28520087072718653, 0.0, 0.0, 0.0, 0.0, 0.00013604208235080717, 0.0, 0.003234306886200087, 0.0, 0.010700622206063411, 0.0, 0.0, nan, 0.0023796125090441355, 0.03679005114109987, 0.008678490321185249, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan] | [0.48203656879025236, 0.8112266956988295, 0.00820325006442343, 0.977424672589065, 0.7087803393441375, 0.38619416597352946, 0.0, nan, 0.0, 0.0, 0.00016378227875743845, nan, 0.0035744692352392663, 0.0, 0.01244378675481416, nan, nan, nan, 0.002429894266762987, 0.22832774049217003, 0.07421965317919076, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 3.9596 | 4.0 | 80 | 4.3544 | 0.0383 | 0.1308 | 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0.2439539587221515, 0.977424672589065, 0.7559917826980141, 0.5440251572327044, 0.0, nan, 0.0, 0.0, 0.006132736437917417, nan, 0.01941970620430558, 0.0, 0.009753238267286773, nan, nan, nan, 0.014152492283443882, 0.19239373601789708, 0.2765317919075144, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 3.9743 | 5.0 | 100 | 4.1517 | 0.0368 | 0.1268 | 0.2890 | [0.21288497116117097, 0.4943160669333782, 0.16029143897996356, 0.14989577936760687, 0.37669085484564235, 0.16696900708383597, 0.0, 0.0, 0.00011907833369718379, 0.0, 0.0009021865721831275, 0.0, 0.009280617349781615, 0.0, 0.00967170805182908, 0.0, nan, nan, 0.0037751677852348995, 0.07368789976342767, 0.03641895845523698, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 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, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | [0.47163914614556995, 0.9339066838220356, 0.1642367971013361, 0.9903722868394541, 0.8501769002510843, 0.26862350245881306, 0.0, nan, 0.0009474182851729038, 0.0, 0.0010008917035176793, nan, 0.01046664053948133, 0.0, 0.01055079371180382, nan, nan, nan, 0.003989623694752742, 0.11758948545861297, 0.3597687861271676, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 3.5237 | 6.0 | 120 | 4.0994 | 0.0387 | 0.1213 | 0.2956 | [0.20817731381671017, 0.44539257879465544, 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| 2.7068 | 21.0 | 420 | 3.2033 | 0.0879 | 0.1765 | 0.4368 | [0.3044315729610558, 0.6079365131352699, 0.8677814760056226, 0.17745592068278224, 0.5084277242840877, 0.5194515151678228, 0.0, 0.0, 0.02558835080511163, 0.0, 0.1031578947368421, 0.0, 0.06906413143617565, 0.0, 0.11219629791309674, 0.0, nan, nan, 0.30776963486607434, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | 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| 0.2023 | 0.4551 | [0.3065395475163578, 0.6770926742505651, 0.8590983267165161, 0.18063502531179082, 0.4873510965189207, 0.5332765297372287, 0.0, 0.0, 0.032584804146709535, 0.0, 0.11622094739950226, 0.0, 0.2674297744440546, 0.0, 0.12648617576131457, 0.0, nan, nan, 0.4946673853038692, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.003969969733894108, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | [0.4639540946255873, 0.951846893541212, 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nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 1.7476 | 48.0 | 960 | 3.0269 | 0.1007 | 0.2080 | 0.4650 | [0.3438897249237214, 0.7298451366614849, 0.9037178050672473, 0.1867302451700883, 0.4532766950513612, 0.38335547144184, 0.0, 0.0, 0.03490619670267197, 0.0, 0.15001845826286284, 0.0, 0.38194026334389153, 0.0, 0.11364740165128703, 0.0, nan, nan, 0.5471331233528315, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.002580893682588598, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 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nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 1.5432 | 49.0 | 980 | 3.0471 | 0.1010 | 0.2137 | 0.4637 | [0.337432406523608, 0.6820582460132494, 0.9034544207339805, 0.186474000907755, 0.47896771012348904, 0.4426828848245083, 0.0, 0.0, 0.03451711959653202, 0.0, 0.17475024246019416, 0.0, 0.3735060931806011, 0.0, 0.09097540476681308, 0.0, nan, nan, 0.5318625068843749, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0038327308986663344, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | [0.493283867720674, 0.9680472571377968, 0.9462005794204233, 0.9500755563696309, 0.6282146389713156, 0.6564082359293146, 0.0, nan, 0.8040423180167378, 0.0, 0.3377372568288111, nan, 0.3864480992472668, 0.0, 0.1102548333781758, nan, nan, nan, 0.5390753267222697, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.2338403041825095, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | | 0.9983 | 50.0 | 1000 | 3.0525 | 0.1015 | 0.2169 | 0.4616 | [0.34045162242855737, 0.7291843871089689, 0.9061074335808211, 0.18572020099152836, 0.4578105764508816, 0.39799372587122017, 0.0, 0.0, 0.033593326610552025, 0.0, 0.15950418598600644, 0.0, 0.3669852324924148, 0.0, 0.1227402765740407, 0.0, nan, nan, 0.5562152967230478, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.005984061681866567, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 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, 0.0, nan, nan, nan, nan, 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, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | [0.5003601426104463, 0.9645831922529966, 0.949191388344435, 0.949915285282535, 0.6472456821121509, 0.5618716163959784, 0.0, nan, 0.7732512237486183, 0.0, 0.31238739968335427, nan, 0.3816776355798208, 0.0, 0.1537744551639313, nan, nan, nan, 0.5690549681486833, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.39543726235741444, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan] | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.3 - Tokenizers 0.13.3