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: 2.7006
• Mean Iou: 0.0974
• Mean Accuracy: 0.1993
• Overall Accuracy: 0.4657
• Per Category Iou: [0.4936711458036395, nan, nan, 0.3970876187310223, nan, 0.5793623053322459, nan, nan, 0.26819662422268287, nan, 0.31056899079651645, nan, nan, nan, 0.29034009805746913, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04340819665564618, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.14672047399462648, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011833026023152812, nan, nan, nan, nan, nan, nan, 0.19664590893478487, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
• Per Category Accuracy: [0.7047620542112586, nan, nan, 0.9317036050604014, nan, 0.9299266774196062, nan, nan, 0.7823608171727205, nan, 0.3179625990185558, nan, nan, nan, 0.5059618764363931, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04449090317670354, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.769321257989994, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011882662289011163, nan, nan, nan, nan, nan, nan, 0.3923601799707994, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
3.3898	1.0	20	3.5918	0.0663	0.1790	0.3372	[0.364907736018298, nan, nan, 0.24760679436915684, nan, 0.48522472722723703, nan, nan, 0.18670999512261052, nan, 0.10189464770842889, nan, nan, nan, 0.20306529062751408, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0005077887220440231, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.09666552117454376, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 4.772153529723359e-06, nan, nan, nan, nan, nan, nan, 0.169076668875965, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.42176087206686963, nan, nan, 0.9683915152668126, nan, 0.9671411985631579, nan, nan, 0.9148706431132034, nan, 0.10446231567778728, nan, nan, nan, 0.4367784236852778, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0005084494187570464, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7495074903978344, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 4.772153529723359e-06, nan, nan, nan, nan, nan, nan, 0.26983701319984504, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
3.2002	2.0	40	3.1520	0.0827	0.1838	0.4240	[0.4644409634876656, nan, nan, 0.40857240164316977, nan, 0.5029436916195238, nan, nan, 0.245468780935582, nan, 0.19936810884002837, nan, nan, nan, 0.23410009924014635, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0018158406310749401, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.11972259222794927, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0003034938208658072, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.13852092879972275, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0006627226586493389, 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, nan, nan, nan, nan, nan, nan, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.6398978962014458, nan, nan, 0.924303243603158, nan, 0.9532091290898183, nan, nan, 0.7853841834751436, nan, 0.2050422599741979, nan, nan, nan, 0.5341624983101257, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0018348392068189068, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7031761554487861, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0003055151596622224, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.21437084711420995, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0006635055750651368, 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, nan, nan, nan, nan, nan, nan, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.8127	3.0	60	3.0679	0.0861	0.1925	0.4150	[0.449371552709165, nan, nan, 0.40000082286918026, nan, 0.5668914489518055, nan, nan, 0.24748696243670168, nan, 0.18395812670912853, nan, nan, nan, 0.2439553929255968, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.008734687001849883, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.11661910709204161, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.005880346705241741, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 1.4316460589170075e-05, nan, nan, nan, nan, nan, nan, 0.18651694502999838, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.5998587703606063, nan, nan, 0.9247693332065062, nan, 0.9635568853876902, nan, nan, 0.8485725391957846, nan, 0.1934433740459856, nan, nan, nan, 0.47318507503041773, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.008842598587079068, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.8363876015136698, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.006110303193244449, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 1.4316460589170075e-05, nan, nan, nan, nan, nan, nan, 0.3427341259199666, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.5427	4.0	80	2.9293	0.0935	0.1934	0.4511	[0.48193006489457924, nan, nan, 0.4249434115322718, nan, 0.5544321723255959, nan, nan, 0.2610272643340305, nan, 0.3025759758115395, nan, nan, nan, 0.24772298626073067, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.013105087434919624, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.1470108649496385, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.001986905574107987, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.1840873151220117, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.6889589806358473, nan, nan, 0.9267953961761628, nan, 0.8968886603239907, nan, nan, 0.7977943822974705, nan, 0.30647222657615836, nan, nan, nan, 0.4989590374476139, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.013251265596922775, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.736014853239225, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.002028620660157157, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.3538035219451149, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.8182	5.0	100	2.7796	0.0997	0.1973	0.4707	[0.5007575800768556, nan, nan, 0.491030772814876, nan, 0.5260440242965271, nan, nan, 0.2623143328678431, nan, 0.33386500313094436, nan, nan, nan, 0.29251152031498023, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.025849871541869903, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.15147727272727274, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.00041919179821304527, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.2076003650311983, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.7350626118067979, nan, nan, 0.8821459145819461, nan, 0.7787387892813452, nan, nan, 0.8329374163175398, nan, 0.34070823135075173, nan, nan, nan, 0.539347032580776, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.026309888867484185, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7745935909973497, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0004277212235271114, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.4168677929739877, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.2487	6.0	120	2.7505	0.0916	0.1891	0.4505	[0.4879712689637588, nan, nan, 0.4256224691238607, nan, 0.5575346882735953, nan, nan, 0.25542909678851095, nan, 0.2559915276054954, nan, nan, nan, 0.24547955309196687, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.032612585140908396, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.12914567083132003, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 5.2456139514256146e-05, nan, nan, nan, nan, nan, nan, 0.17546934540159223, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.7047442697381497, nan, nan, 0.9208028155616855, nan, 0.8353397695130789, nan, nan, 0.8119754099540736, nan, 0.2637540843270355, nan, nan, nan, 0.4409422738948222, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.03309974135399133, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.795498674830279, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 5.249368882695694e-05, nan, nan, nan, nan, nan, nan, 0.29979738386818033, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.0163	7.0	140	2.6766	0.1006	0.1954	0.4831	[0.5062672491524448, nan, nan, 0.4483144581613473, nan, 0.5795943274182919, nan, nan, 0.30546404768196367, nan, 0.3119515052966355, nan, nan, nan, 0.28428499564825094, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.020420718644406553, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.1589597949357266, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 7.128261179489617e-05, nan, nan, nan, nan, nan, nan, 0.20129700329480676, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.7729895699295944, nan, nan, 0.9029487301436316, nan, 0.925119022573381, nan, nan, 0.7489166270749651, nan, 0.3145805953773255, nan, nan, nan, 0.4813167500337975, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.020650625771753583, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7084059696415664, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 7.158230294585038e-05, nan, nan, nan, nan, nan, nan, 0.401403414677751, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
1.7819	8.0	160	2.7470	0.0963	0.1985	0.4551	[0.48625699365487673, nan, nan, 0.4153540263844991, nan, 0.5790593345119147, nan, nan, 0.2544396211523283, nan, 0.31216254866595455, nan, nan, nan, 0.28095255883451625, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.044009260570534885, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.1339768211763703, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0016786023376796294, nan, nan, nan, nan, nan, nan, 0.18871968596222236, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.6767243092824489, nan, nan, 0.92001331684581, nan, 0.9162517434566805, nan, nan, 0.816855986985128, nan, 0.322405623409976, nan, nan, nan, 0.5083885358929295, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.045144623857962606, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.8018481511402129, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0016845701959923454, nan, nan, nan, nan, nan, nan, 0.3502428413932839, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.3685	9.0	180	2.6857	0.0969	0.1986	0.4635	[0.49410877549829646, nan, nan, 0.41562054025414674, nan, 0.5687141765380206, nan, nan, 0.25994599968900345, nan, 0.30340287327735027, nan, nan, nan, 0.29140556251833283, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04349045496853252, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.14221283971232448, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0004288655077767612, nan, nan, nan, nan, nan, nan, 0.19427368421052632, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.6998765548337151, nan, nan, 0.9252449348425759, nan, 0.9277605055439975, nan, nan, 0.7942239306641328, nan, 0.31256103883577085, nan, nan, nan, 0.5170744896579694, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04456353880795455, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7628583981745256, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.00042949381767510224, nan, nan, nan, nan, nan, nan, 0.3780727630285152, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.211	10.0	200	2.6358	0.0987	0.1976	0.4720	[0.5009040875410115, nan, nan, 0.4269554721268117, nan, 0.5874180549708305, nan, nan, 0.26722423450515453, nan, 0.3106595307095447, nan, nan, nan, 0.2902032402436061, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.043968863211743085, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.1426133256889257, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0005895497551466742, nan, nan, nan, nan, nan, nan, 0.19327544160295282, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.7279906683823453, nan, nan, 0.9151621801578997, nan, 0.9132518291685172, nan, nan, 0.8008609395470709, nan, 0.32053678004316427, nan, nan, nan, 0.5005407597674733, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04511304314872303, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.7614977961081112, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0005917470376856965, nan, nan, nan, nan, nan, nan, 0.34949792914394684, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.1638	11.0	220	2.6764	0.0987	0.2001	0.4645	[0.4918541923722091, nan, nan, 0.42118014100340745, nan, 0.5892368909894072, nan, nan, 0.27014978157890807, nan, 0.3188215676671564, nan, nan, nan, 0.2908492492670578, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.047129753081477876, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.13792307785725563, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011831058190750869, nan, nan, nan, nan, nan, nan, 0.19448037947391117, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.696012093441714, nan, nan, 0.919433082849805, nan, 0.9219243086561163, nan, nan, 0.7808203400567241, nan, 0.32965794137860355, nan, nan, nan, 0.53043125591456, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.048337433562082935, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.8048102952223025, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011882662289011163, nan, nan, nan, nan, nan, nan, 0.3695509668960996, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]
2.3251	12.0	240	2.7006	0.0974	0.1993	0.4657	[0.4936711458036395, nan, nan, 0.3970876187310223, nan, 0.5793623053322459, nan, nan, 0.26819662422268287, nan, 0.31056899079651645, nan, nan, nan, 0.29034009805746913, nan, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04340819665564618, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.14672047399462648, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011833026023152812, nan, nan, nan, nan, nan, nan, 0.19664590893478487, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]	[0.7047620542112586, nan, nan, 0.9317036050604014, nan, 0.9299266774196062, nan, nan, 0.7823608171727205, nan, 0.3179625990185558, nan, nan, nan, 0.5059618764363931, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.04449090317670354, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.769321257989994, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0011882662289011163, nan, nan, nan, nan, nan, nan, 0.3923601799707994, 0.0, nan, nan, nan, 0.0, 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, nan, nan, 0.0, 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, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan]

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cpu
• Datasets 2.13.1
• Tokenizers 0.13.3