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segformer-b0-scene-parse-150

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metadata
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://i.imgur.com/G0WTlvI.jpg
    example_title: Test

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: 3.4109
  • Mean Iou: 0.0743
  • Mean Accuracy: 0.1426
  • Overall Accuracy: 0.3513
  • Per Category Iou: [0.31180760318875295, 0.029587754001078943, 0.5181027373573461, 0.3513750535727115, 0.13841881364217884, 0.4225963139530349, 0.020463558936350042, 0.0, 0.0, 0.12664816099930604, 0.0, 0.09268331700293947, 0.011405152968834388, 0.0, 0.0, 0.1611554226210258, 0.6253837637955239, 0.0, 0.0, 0.0, 0.5781829016219437, 0.0, 0.10228225430833722, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 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, 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, nan, nan]
  • Per Category Accuracy: [0.629436003090394, 0.703903743315508, 0.9158711497766283, 0.6129270632567868, 0.24655174010912156, 0.5725388179822779, 0.020494204974606068, nan, 0.0, 0.13230168688136065, 0.0, 0.3221210647022031, 0.01205345151759334, 0.0, 0.0, 0.26307699263076995, 0.6987083035805366, 0.0, 0.0, 0.0, 0.6125210838322762, 0.0, 0.10285714285714286, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 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
4.9411 1.0 20 4.9579 0.0053 0.0529 0.0593 [0.08903699831561829, 0.0, 0.16788725739623464, 0.021954702956236662, 0.13089662332920687, 0.16520640459662925, 5.8563438845128986e-05, 0.0, 0.03287459616551218, 0.0, 0.0, 0.006554672266386681, 0.0, 0.0, 0.0, 0.0, 0.003662921221873998, 0.0, 0.0004523491312840547, 0.010446094211944024, 0.00391143305398642, 0.0, 0.038020871342041886, 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, 0.02981348215597004, 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, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01626948949262137, 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, 0.0, 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, 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, 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, nan, 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, nan, 0.0, 0.0, 0.0, 0.0, nan] [0.09869624002060262, 0.0, 0.8688925464378086, 0.02338314477584851, 0.21254620066139895, 0.17857897731891717, 6.511264487563485e-05, nan, 0.541257766680216, 0.0, 0.0, 0.015185210925012162, 0.0, 0.0, 0.0, 0.0, 0.0041505151484239515, 0.0, 0.0019117135905457074, 0.011196394620097177, 0.004463360984799913, 0.0, 0.0976112412177986, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.05949589683470106, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.05246342693795191, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
4.6473 2.0 40 4.7976 0.0083 0.0706 0.1597 [0.2730585931151325, 0.0, 0.0792400636974045, 0.16738742048053964, 0.13743599679939145, 0.1960694588280629, 0.0006330384300646934, 0.0, 0.022919550153761254, 0.0, 0.0, 0.0011051532888543244, 0.0, 0.0007484833363973002, 0.0, 1.1641579063784212e-05, 0.00012679781183204725, 0.0, 0.0, 0.02195919638685563, 0.05742645824997096, 0.0, 0.02557547797964425, 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, 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, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.009112333071484681, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, 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, 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, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, nan] [0.5354397373165078, 0.0, 0.9079238184810722, 0.2599327588740136, 0.35481181625336955, 0.2316356393789123, 0.0006674046099752572, nan, 0.2990534812147959, 0.0, 0.0, 0.0018764333866147752, 0.0, 0.001011427354673859, 0.0, 2.260500022605e-05, 0.0001338875854330307, 0.0, 0.0, 0.024822195620026757, 0.06582594371726458, 0.0, 0.20149882903981264, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.009752816546157726, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
4.33 3.0 60 4.5999 0.0177 0.0844 0.2189 [0.28290110716151307, 0.005282038372323018, 0.11307709248548213, 0.2463469919948709, 0.20406517133045957, 0.24486364821651593, 0.03694196601153567, 0.0, 0.0007847872019317839, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0063526240528590915, 0.010474144511570086, 0.0, 0.0049208562289838435, 0.0657463133574831, 0.17684458684531504, 0.0, 0.031192957323413203, 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, nan, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, 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, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 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, 0.0, nan] [0.5718420036054597, 0.06283422459893048, 0.9175170467905008, 0.4682419643397319, 0.6468185228756959, 0.2900821071457605, 0.03888852715197291, nan, 0.009058707392137506, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01747366517473665, 0.012247526267469142, 0.0, 0.026068821689259645, 0.08115625660164777, 0.1916384726921218, 0.0, 0.12646370023419204, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
3.9304 4.0 80 4.5006 0.0193 0.0820 0.2163 [0.24255218332949646, 0.012098961345185743, 0.1130587458133902, 0.1932357372034454, 0.21938952314642607, 0.29509265492683273, 0.006288899361359832, 0.0, 0.007559621038876184, 0.0, 0.0, 0.004353837554790692, 0.0, 0.0, 0.0, 0.007734894177536125, 0.0015871336366522061, 0.0, 0.011353857257863031, 0.014420139313210314, 0.05859086721429295, 0.0, 0.010186216775425753, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.6986930208601597, 0.14433155080213902, 0.9175170467905008, 0.3630675090533521, 0.6392318879512381, 0.3385253231444598, 0.006299648391717672, nan, 0.06718541315835318, 0.0, 0.0, 0.0051428174299812356, 0.0, 0.0, 0.0, 0.01765450517654505, 0.0016257778231153729, 0.0, 0.0710809871393813, 0.014541229490880924, 0.059907675008137616, 0.0, 0.017985948477751756, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
3.8739 5.0 100 4.3663 0.0283 0.0987 0.2572 [0.2752923046471844, 0.0319592795614722, 0.20451781970649896, 0.2580191297858592, 0.18674489243359357, 0.34507459876688473, 0.048276384574588986, 0.0, 0.0027019624390207794, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01812237861475229, 0.018915818964706767, 0.0, 0.006791858765321039, 0.02489535511747232, 0.19380820019630324, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.6268252639711563, 0.5456149732620321, 0.9175170467905008, 0.61258999334503, 0.4823765898122331, 0.4470246321437282, 0.05186222164344316, nan, 0.0211950525521166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.038971020389710204, 0.019241558706518412, 0.0, 0.02624261383385471, 0.025966481233715935, 0.23177419832118445, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
3.9965 6.0 120 4.2527 0.0339 0.1032 0.2629 [0.28191282956675384, 0.03516251329926723, 0.34215418069584735, 0.24465131944683371, 0.17932057255786576, 0.3720666314241059, 0.027524411627495457, 0.0, 0.0063289465565418215, 0.0, 0.0, 0.009397091786884304, 0.0, 0.0, 0.0, 0.0184860675765728, 0.0696682088888076, 0.0, 0.02453077933111918, 0.03990068596711814, 0.14803947350209687, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 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, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan] [0.6337947463301571, 0.5019251336898396, 0.9175170467905008, 0.5838483012540729, 0.5051550211666188, 0.526392163238761, 0.027851933845552807, nan, 0.041693281458684166, 0.0, 0.0, 0.011362846618945028, 0.0, 0.0, 0.0, 0.06772458067724581, 0.07286672447210038, 0.0, 0.13799096280848105, 0.04413421590028871, 0.1582545052820548, 0.0, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
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1.5589 48.0 960 3.3964 0.0746 0.1439 0.3569 [0.312794051433307, 0.03129405718492385, 0.4971543781742082, 0.3512417265234355, 0.1413566388710712, 0.4474756254027943, 0.020724967490247072, 0.0, 0.0, 0.11651105258957785, 0.0, 0.09245888487765744, 0.01375773872803452, 0.0, 0.0, 0.16602349835741032, 0.647889434492934, 0.0, 0.0, 0.0, 0.5828224257645147, 0.0, 0.08659812910993794, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 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, 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, nan, nan] [0.6172386041720319, 0.7228877005347594, 0.9160592522924994, 0.6189511075771588, 0.2449677174325864, 0.6152507926184863, 0.020754655554108607, nan, 0.0, 0.12212463404433292, 0.0, 0.32038362638126344, 0.014773032500671501, 0.0, 0.0, 0.2616076676160767, 0.7167066204223197, 0.0, 0.0, 0.0, 0.6226215957625196, 0.0, 0.08758782201405152, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
1.5585 49.0 980 3.3971 0.0756 0.1456 0.3576 [0.31202434827962355, 0.030862536873156342, 0.49976891079956864, 0.35406127037661606, 0.1401928384755181, 0.43700378268279505, 0.022335289432189476, 0.0, 0.0, 0.1526032793867121, 0.0, 0.09700298795762533, 0.011489173663278833, 0.0, 0.0, 0.17434699511573581, 0.6288956467871826, 0.0, 0.0, 8.800957544180807e-05, 0.587712435245154, 0.0, 0.10417443160641074, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 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, 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, nan, nan] [0.6316765387586918, 0.6993582887700535, 0.9153068422290148, 0.6097162562768468, 0.2479597602660417, 0.5982521746199496, 0.022366193514780572, nan, 0.0, 0.15984943538268506, 0.0, 0.33504760580999376, 0.012221326886919152, 0.0, 0.0, 0.2969392829693928, 0.7119823013363256, 0.0, 0.0, 8.802197028378283e-05, 0.6261035105197227, 0.0, 0.10473067915690866, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]
1.3417 50.0 1000 3.4109 0.0743 0.1426 0.3513 [0.31180760318875295, 0.029587754001078943, 0.5181027373573461, 0.3513750535727115, 0.13841881364217884, 0.4225963139530349, 0.020463558936350042, 0.0, 0.0, 0.12664816099930604, 0.0, 0.09268331700293947, 0.011405152968834388, 0.0, 0.0, 0.1611554226210258, 0.6253837637955239, 0.0, 0.0, 0.0, 0.5781829016219437, 0.0, 0.10228225430833722, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 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, 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, 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, nan, nan] [0.629436003090394, 0.703903743315508, 0.9158711497766283, 0.6129270632567868, 0.24655174010912156, 0.5725388179822779, 0.020494204974606068, nan, 0.0, 0.13230168688136065, 0.0, 0.3221210647022031, 0.01205345151759334, 0.0, 0.0, 0.26307699263076995, 0.6987083035805366, 0.0, 0.0, 0.0, 0.6125210838322762, 0.0, 0.10285714285714286, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, 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, nan, 0.0, 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, 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, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan]

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3