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segformer-b0-finetuned-segments-sidewalk-oct-22

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segformer-b0-finetuned-segments-sidewalk-oct-22

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5881
  • Mean Iou: 0.2988
  • Mean Accuracy: 0.3613
  • Overall Accuracy: 0.8463
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8649
  • Accuracy Flat-sidewalk: 0.9502
  • Accuracy Flat-crosswalk: 0.5791
  • Accuracy Flat-cyclinglane: 0.7393
  • Accuracy Flat-parkingdriveway: 0.4485
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.4859
  • Accuracy Human-person: 0.7767
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9341
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.5642
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8944
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.4959
  • Accuracy Construction-fenceguardrail: 0.4208
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.3432
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9466
  • Accuracy Nature-terrain: 0.8884
  • Accuracy Sky: 0.9698
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.2614
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7372
  • Iou Flat-sidewalk: 0.8540
  • Iou Flat-crosswalk: 0.4322
  • Iou Flat-cyclinglane: 0.6499
  • Iou Flat-parkingdriveway: 0.3421
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.3932
  • Iou Human-person: 0.5795
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.8033
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.3104
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.7075
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.3911
  • Iou Construction-fenceguardrail: 0.3791
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.2524
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8559
  • Iou Nature-terrain: 0.7644
  • Iou Sky: 0.9219
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.1876
  • Iou Void-unclear: 0.0

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: 0.0001
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Unlabeled Accuracy Flat-road Accuracy Flat-sidewalk Accuracy Flat-crosswalk Accuracy Flat-cyclinglane Accuracy Flat-parkingdriveway Accuracy Flat-railtrack Accuracy Flat-curb Accuracy Human-person Accuracy Human-rider Accuracy Vehicle-car Accuracy Vehicle-truck Accuracy Vehicle-bus Accuracy Vehicle-tramtrain Accuracy Vehicle-motorcycle Accuracy Vehicle-bicycle Accuracy Vehicle-caravan Accuracy Vehicle-cartrailer Accuracy Construction-building Accuracy Construction-door Accuracy Construction-wall Accuracy Construction-fenceguardrail Accuracy Construction-bridge Accuracy Construction-tunnel Accuracy Construction-stairs Accuracy Object-pole Accuracy Object-trafficsign Accuracy Object-trafficlight Accuracy Nature-vegetation Accuracy Nature-terrain Accuracy Sky Accuracy Void-ground Accuracy Void-dynamic Accuracy Void-static Accuracy Void-unclear Iou Unlabeled Iou Flat-road Iou Flat-sidewalk Iou Flat-crosswalk Iou Flat-cyclinglane Iou Flat-parkingdriveway Iou Flat-railtrack Iou Flat-curb Iou Human-person Iou Human-rider Iou Vehicle-car Iou Vehicle-truck Iou Vehicle-bus Iou Vehicle-tramtrain Iou Vehicle-motorcycle Iou Vehicle-bicycle Iou Vehicle-caravan Iou Vehicle-cartrailer Iou Construction-building Iou Construction-door Iou Construction-wall Iou Construction-fenceguardrail Iou Construction-bridge Iou Construction-tunnel Iou Construction-stairs Iou Object-pole Iou Object-trafficsign Iou Object-trafficlight Iou Nature-vegetation Iou Nature-terrain Iou Sky Iou Void-ground Iou Void-dynamic Iou Void-static Iou Void-unclear
2.6446 0.1 20 2.9036 0.0732 0.1243 0.5841 nan 0.1650 0.9388 0.0 0.0110 0.0046 nan 0.0 0.0 0.0 0.8412 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8181 0.0 0.0068 0.0002 0.0 nan 0.0 0.0 0.0 0.0 0.9482 0.0503 0.1924 0.0 0.0 0.0001 0.0 0.0 0.1551 0.5858 0.0 0.0109 0.0045 0.0 0.0 0.0 0.0 0.4684 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4527 0.0 0.0065 0.0002 0.0 nan 0.0 0.0 0.0 0.0 0.5709 0.0419 0.1923 0.0 0.0 0.0001 0.0
2.2236 0.2 40 1.9829 0.1087 0.1536 0.6546 nan 0.7316 0.8821 0.0 0.0000 0.0012 nan 0.0000 0.0 0.0 0.7926 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8106 0.0 0.0032 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9636 0.1494 0.5799 0.0 0.0 0.0 0.0 nan 0.4221 0.6904 0.0 0.0000 0.0012 nan 0.0000 0.0 0.0 0.5490 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4808 0.0 0.0032 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6243 0.1322 0.5746 0.0 0.0 0.0 0.0
1.6689 0.3 60 1.6583 0.1325 0.1763 0.6901 nan 0.6909 0.9280 0.0 0.0 0.0008 nan 0.0000 0.0 0.0 0.8070 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8276 0.0 0.0110 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9101 0.6704 0.7960 0.0 0.0 0.0 0.0 nan 0.4339 0.6869 0.0 0.0 0.0008 nan 0.0000 0.0 0.0 0.6051 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5031 0.0 0.0108 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7312 0.5005 0.7680 0.0 0.0 0.0 0.0
1.5794 0.4 80 1.4876 0.1366 0.1825 0.7038 nan 0.7097 0.9350 0.0 0.0 0.0003 nan 0.0 0.0 0.0 0.8456 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8642 0.0 0.0015 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9109 0.7571 0.8142 0.0 0.0 0.0 0.0 nan 0.4701 0.7084 0.0 0.0 0.0003 nan 0.0 0.0 0.0 0.6189 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5059 0.0 0.0015 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7397 0.5460 0.7797 0.0 0.0 0.0 0.0
1.5229 0.5 100 1.4013 0.1359 0.1803 0.7076 nan 0.6886 0.9534 0.0 0.0347 0.0016 nan 0.0 0.0 0.0 0.8892 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8217 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9568 0.5926 0.8294 0.0 0.0 0.0 0.0 nan 0.5080 0.7029 0.0 0.0346 0.0016 nan 0.0 0.0 0.0 0.5598 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5472 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6971 0.5004 0.7969 0.0 0.0 0.0 0.0
1.2003 0.6 120 1.2425 0.1474 0.1965 0.7285 nan 0.7966 0.9182 0.0 0.1579 0.0008 nan 0.0 0.0 0.0 0.8939 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8634 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9261 0.8480 0.8819 0.0 0.0 0.0 0.0 nan 0.5148 0.7446 0.0 0.1559 0.0008 nan 0.0 0.0 0.0 0.5954 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5441 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7506 0.5912 0.8198 0.0 0.0 0.0 0.0
1.2507 0.7 140 1.2214 0.1562 0.2002 0.7378 nan 0.8805 0.8858 0.0 0.4127 0.0019 nan 0.0 0.0 0.0 0.8466 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8672 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9579 0.6735 0.8808 0.0 0.0 0.0 0.0 nan 0.5213 0.7597 0.0 0.3764 0.0019 nan 0.0 0.0 0.0 0.6704 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5638 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7209 0.5572 0.8258 0.0 0.0 0.0 0.0
1.2322 0.8 160 1.1794 0.1537 0.1993 0.7361 nan 0.7339 0.9511 0.0 0.3368 0.0055 nan 0.0 0.0 0.0 0.9218 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7810 0.0 0.0017 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9360 0.7657 0.9447 0.0 0.0 0.0 0.0 nan 0.5275 0.7280 0.0 0.3161 0.0055 nan 0.0 0.0 0.0 0.6021 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5550 0.0 0.0017 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7441 0.6084 0.8287 0.0 0.0 0.0 0.0
1.4998 0.9 180 1.0915 0.1633 0.2070 0.7543 nan 0.8040 0.9417 0.0 0.4433 0.0024 nan 0.0 0.0 0.0 0.8499 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9059 0.0 0.0009 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9153 0.8368 0.9238 0.0 0.0 0.0 0.0 nan 0.5594 0.7627 0.0 0.3896 0.0024 nan 0.0 0.0 0.0 0.6526 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5509 0.0 0.0009 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7779 0.6755 0.8528 0.0 0.0 0.0 0.0
0.9777 1.0 200 1.0430 0.1674 0.2097 0.7623 nan 0.8292 0.9417 0.0 0.5123 0.0048 nan 0.0009 0.0 0.0 0.8854 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8897 0.0 0.0131 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9389 0.7870 0.9084 0.0 0.0 0.0 0.0 nan 0.5751 0.7711 0.0 0.4464 0.0048 nan 0.0009 0.0 0.0 0.6782 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5701 0.0 0.0131 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7720 0.6698 0.8562 0.0 0.0 0.0 0.0
0.9326 1.1 220 1.0643 0.1551 0.2051 0.7343 nan 0.7976 0.9512 0.0 0.4709 0.0063 nan 0.0001 0.0 0.0 0.9118 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8695 0.0 0.0038 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7454 0.8821 0.9252 0.0 0.0 0.0 0.0 nan 0.5785 0.7469 0.0 0.4200 0.0063 nan 0.0001 0.0 0.0 0.6615 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5728 0.0 0.0038 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6639 0.4500 0.8600 0.0 0.0 0.0 0.0
1.1853 1.2 240 1.0255 0.1645 0.2065 0.7501 nan 0.6850 0.9636 0.0 0.4379 0.0078 nan 0.0006 0.0 0.0 0.8839 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8852 0.0 0.0239 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9317 0.8506 0.9366 0.0 0.0 0.0 0.0 nan 0.5494 0.7233 0.0 0.3777 0.0077 nan 0.0006 0.0 0.0 0.6827 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5818 0.0 0.0235 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7729 0.6805 0.8655 0.0 0.0 0.0 0.0
1.1844 1.3 260 0.9715 0.1677 0.2091 0.7599 nan 0.8100 0.9497 0.0 0.4492 0.0216 nan 0.0013 0.0 0.0 0.8900 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8913 0.0 0.0401 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.9334 0.7794 0.9254 0.0 0.0 0.0000 0.0 nan 0.5640 0.7634 0.0 0.4075 0.0211 nan 0.0013 0.0 0.0 0.6789 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5737 0.0 0.0388 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.7761 0.6731 0.8696 0.0 0.0 0.0000 0.0
0.8037 1.4 280 0.9345 0.1694 0.2120 0.7620 nan 0.8153 0.9338 0.0 0.5336 0.0190 nan 0.0096 0.0 0.0 0.8687 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8660 0.0 0.0239 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9518 0.8266 0.9353 0.0 0.0 0.0 0.0 nan 0.5748 0.7621 0.0 0.4545 0.0187 nan 0.0095 0.0 0.0 0.7099 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5969 0.0 0.0234 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7515 0.6518 0.8682 0.0 0.0 0.0 0.0
1.046 1.5 300 0.9362 0.1665 0.2063 0.7602 nan 0.8074 0.9552 0.0 0.4627 0.0251 nan 0.0132 0.0 0.0 0.8712 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9206 0.0 0.0295 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.9472 0.6334 0.9373 0.0 0.0 0.0 0.0 nan 0.5877 0.7633 0.0 0.4225 0.0245 nan 0.0131 0.0 0.0 0.6925 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5721 0.0 0.0285 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.7648 0.5827 0.8754 0.0 0.0 0.0 0.0
0.8823 1.6 320 0.9555 0.1726 0.2141 0.7562 nan 0.6423 0.9676 0.0 0.5346 0.0428 nan 0.0608 0.0 0.0 0.8740 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9115 0.0 0.1039 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9256 0.8544 0.9354 0.0 0.0 0.0000 0.0 nan 0.5514 0.7267 0.0 0.4372 0.0407 nan 0.0585 0.0 0.0 0.6901 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5904 0.0 0.0878 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7883 0.6758 0.8769 0.0 0.0 0.0000 0.0
0.7509 1.7 340 0.9001 0.1779 0.2237 0.7709 nan 0.9064 0.9093 0.0 0.5323 0.1030 nan 0.0284 0.0 0.0 0.9033 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9072 0.0 0.1315 0.0 0.0 nan 0.0 0.0002 0.0 0.0 0.9072 0.8914 0.9371 0.0 0.0 0.0002 0.0 nan 0.5784 0.7877 0.0 0.4640 0.0934 nan 0.0277 0.0 0.0 0.6997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6068 0.0 0.1094 0.0 0.0 nan 0.0 0.0002 0.0 0.0 0.7947 0.6547 0.8762 0.0 0.0 0.0002 0.0
1.4454 1.8 360 0.8672 0.1819 0.2232 0.7747 nan 0.8583 0.9287 0.0018 0.5609 0.1483 nan 0.0427 0.0 0.0 0.8350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9246 0.0 0.1830 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.9426 0.7789 0.9388 0.0 0.0 0.0 0.0 nan 0.6006 0.7921 0.0018 0.4665 0.1287 nan 0.0418 0.0 0.0 0.7032 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5769 0.0 0.1453 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.7918 0.6899 0.8831 0.0 0.0 0.0 0.0
1.0715 1.9 380 0.8731 0.1822 0.2251 0.7731 nan 0.7780 0.9396 0.0 0.6530 0.1692 nan 0.0842 0.0 0.0 0.8696 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8489 0.0 0.1946 0.0 0.0 nan 0.0 0.0007 0.0 0.0 0.9709 0.7592 0.9323 0.0 0.0 0.0022 0.0 nan 0.6210 0.7887 0.0 0.5005 0.1439 nan 0.0808 0.0 0.0 0.7147 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6286 0.0 0.1591 0.0 0.0 nan 0.0 0.0007 0.0 0.0 0.7136 0.5999 0.8767 0.0 0.0 0.0022 0.0
0.9872 2.0 400 0.8644 0.1814 0.2287 0.7679 nan 0.9228 0.8901 0.0 0.5135 0.1829 nan 0.0730 0.0 0.0 0.9320 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8858 0.0 0.1816 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.8969 0.8870 0.9520 0.0 0.0 0.0006 0.0 nan 0.5509 0.7875 0.0 0.4591 0.1650 nan 0.0689 0.0 0.0 0.6744 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6095 0.0 0.1509 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.7905 0.6681 0.8782 0.0 0.0 0.0006 0.0
0.9402 2.1 420 0.8389 0.1881 0.2315 0.7818 nan 0.8322 0.9390 0.0 0.5695 0.2419 nan 0.2642 0.0 0.0 0.9113 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8622 0.0 0.1379 0.0 0.0 nan 0.0 0.0076 0.0 0.0 0.9714 0.7160 0.9485 0.0 0.0 0.0075 0.0 nan 0.6471 0.7996 0.0 0.4905 0.1948 nan 0.2126 0.0 0.0 0.6854 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6175 0.0 0.1159 0.0 0.0 nan 0.0 0.0076 0.0 0.0 0.7514 0.6111 0.8784 0.0 0.0 0.0075 0.0
0.8086 2.2 440 0.8111 0.1975 0.2430 0.7900 nan 0.8340 0.9349 0.0 0.6432 0.2336 nan 0.3225 0.0 0.0 0.8310 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9304 0.0 0.3000 0.0 0.0 nan 0.0 0.0017 0.0 0.0 0.9186 0.8714 0.9526 0.0 0.0 0.0019 0.0 nan 0.6502 0.8090 0.0 0.5334 0.1844 nan 0.2397 0.0 0.0 0.7169 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5935 0.0 0.2089 0.0 0.0 nan 0.0 0.0017 0.0 0.0 0.8048 0.6888 0.8868 0.0 0.0 0.0019 0.0
0.8764 2.3 460 0.7955 0.1956 0.2410 0.7898 nan 0.8731 0.9284 0.0 0.5585 0.2978 nan 0.2489 0.0 0.0 0.9034 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8977 0.0 0.2272 0.0 0.0 nan 0.0 0.0092 0.0 0.0 0.9343 0.8924 0.9346 0.0 0.0 0.0051 0.0 nan 0.6369 0.8102 0.0 0.4941 0.2258 nan 0.2154 0.0 0.0 0.7013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6180 0.0 0.1729 0.0 0.0 nan 0.0 0.0091 0.0 0.0 0.7948 0.6877 0.8877 0.0 0.0 0.0050 0.0
0.5838 2.4 480 0.7779 0.1984 0.2443 0.7934 nan 0.8579 0.9338 0.0219 0.6356 0.3655 nan 0.1993 0.0000 0.0 0.9151 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9047 0.0 0.2618 0.0 0.0 nan 0.0 0.0106 0.0 0.0 0.9247 0.8154 0.9695 0.0 0.0 0.0029 0.0 nan 0.6396 0.8160 0.0219 0.5207 0.2520 nan 0.1786 0.0000 0.0 0.7051 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6203 0.0 0.1896 0.0 0.0 nan 0.0 0.0105 0.0 0.0 0.8129 0.7016 0.8771 0.0 0.0 0.0029 0.0
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0.4643 8.7 1740 0.5790 0.2978 0.3629 0.8454 nan 0.8425 0.9357 0.5978 0.8333 0.4818 nan 0.5086 0.7809 0.0 0.9420 0.0 0.0 0.0 0.0 0.5146 0.0 0.0 0.8946 0.0 0.5240 0.3464 0.0 nan 0.0 0.3436 0.0 0.0 0.9468 0.8926 0.9658 0.0 0.0 0.2632 0.0 nan 0.7326 0.8559 0.4279 0.6736 0.3453 nan 0.4089 0.5846 0.0 0.7928 0.0 0.0 0.0 0.0 0.3042 0.0 0.0 0.7079 0.0 0.3830 0.3168 0.0 nan 0.0 0.2545 0.0 0.0 0.8582 0.7638 0.9225 0.0 0.0 0.1969 0.0
0.4116 8.8 1760 0.5820 0.2977 0.3611 0.8465 nan 0.8533 0.9489 0.5951 0.7959 0.4441 nan 0.4867 0.7812 0.0 0.9328 0.0 0.0 0.0 0.0 0.5563 0.0 0.0 0.9081 0.0 0.4951 0.3623 0.0 nan 0.0 0.3574 0.0 0.0 0.9371 0.8924 0.9654 0.0 0.0 0.2426 0.0 nan 0.7344 0.8561 0.4307 0.6806 0.3428 nan 0.3969 0.5798 0.0 0.8034 0.0 0.0 0.0 0.0 0.3147 0.0 0.0 0.7025 0.0 0.3742 0.3268 0.0 nan 0.0 0.2597 0.0 0.0 0.8580 0.7590 0.9230 0.0 0.0 0.1833 0.0
0.3642 8.9 1780 0.5825 0.2992 0.3612 0.8464 nan 0.8459 0.9514 0.5853 0.7834 0.4573 nan 0.4848 0.7784 0.0 0.9270 0.0 0.0 0.0 0.0 0.5579 0.0 0.0 0.9058 0.0 0.4744 0.3935 0.0 nan 0.0 0.3623 0.0 0.0 0.9419 0.8927 0.9659 0.0 0.0 0.2505 0.0 nan 0.7352 0.8545 0.4346 0.6736 0.3430 nan 0.3968 0.5806 0.0 0.8086 0.0 0.0 0.0 0.0 0.3254 0.0 0.0 0.7030 0.0 0.3787 0.3601 0.0 nan 0.0 0.2615 0.0 0.0 0.8548 0.7584 0.9230 0.0 0.0 0.1835 0.0
0.3355 9.0 1800 0.5826 0.2994 0.3636 0.8459 nan 0.8603 0.9413 0.5917 0.7590 0.4987 nan 0.5007 0.7845 0.0 0.9374 0.0 0.0 0.0 0.0 0.5508 0.0 0.0 0.8996 0.0 0.4774 0.4227 0.0 nan 0.0 0.3510 0.0 0.0 0.9467 0.8837 0.9653 0.0 0.0 0.2642 0.0 nan 0.7357 0.8555 0.4223 0.6648 0.3500 nan 0.4009 0.5832 0.0 0.8002 0.0 0.0 0.0 0.0 0.3057 0.0 0.0 0.7050 0.0 0.3839 0.3773 0.0 nan 0.0 0.2590 0.0 0.0 0.8559 0.7678 0.9229 0.0 0.0 0.1900 0.0
0.3793 9.1 1820 0.5882 0.2978 0.3613 0.8447 nan 0.8496 0.9467 0.5920 0.7591 0.4889 nan 0.5053 0.7759 0.0 0.9374 0.0 0.0 0.0 0.0 0.5241 0.0 0.0 0.9129 0.0 0.4975 0.3962 0.0 nan 0.0 0.3467 0.0 0.0 0.9294 0.8948 0.9636 0.0 0.0 0.2414 0.0 nan 0.7405 0.8545 0.4316 0.6590 0.3488 nan 0.4008 0.5891 0.0 0.7990 0.0 0.0 0.0 0.0 0.3005 0.0 0.0 0.7028 0.0 0.3844 0.3574 0.0 nan 0.0 0.2570 0.0 0.0 0.8520 0.7453 0.9236 0.0 0.0 0.1823 0.0
0.2793 9.2 1840 0.5878 0.2974 0.3616 0.8446 nan 0.8513 0.9463 0.5973 0.7588 0.5000 nan 0.4986 0.7865 0.0 0.9334 0.0 0.0 0.0 0.0 0.5269 0.0 0.0 0.9034 0.0 0.4835 0.3733 0.0 nan 0.0 0.3521 0.0 0.0 0.9342 0.8937 0.9654 0.0 0.0 0.2658 0.0 nan 0.7408 0.8537 0.4275 0.6630 0.3483 nan 0.4014 0.5750 0.0 0.8024 0.0 0.0 0.0 0.0 0.3071 0.0 0.0 0.7035 0.0 0.3766 0.3445 0.0 nan 0.0 0.2565 0.0 0.0 0.8533 0.7524 0.9224 0.0 0.0 0.1887 0.0
0.3716 9.3 1860 0.5903 0.2961 0.3573 0.8455 nan 0.8684 0.9481 0.5853 0.7523 0.4617 nan 0.4910 0.7798 0.0 0.9249 0.0 0.0 0.0 0.0 0.5365 0.0 0.0 0.9166 0.0 0.4795 0.3358 0.0 nan 0.0 0.3293 0.0 0.0 0.9398 0.8781 0.9679 0.0 0.0 0.2395 0.0 nan 0.7364 0.8548 0.4289 0.6600 0.3465 nan 0.3954 0.5684 0.0 0.8093 0.0 0.0 0.0 0.0 0.3222 0.0 0.0 0.6978 0.0 0.3660 0.3115 0.0 nan 0.0 0.2477 0.0 0.0 0.8597 0.7694 0.9220 0.0 0.0 0.1779 0.0
0.3073 9.4 1880 0.5829 0.2971 0.3572 0.8471 nan 0.8683 0.9506 0.5674 0.7611 0.4517 nan 0.5018 0.7762 0.0 0.9282 0.0 0.0 0.0 0.0 0.5395 0.0 0.0 0.9162 0.0 0.4836 0.3563 0.0 nan 0.0 0.3141 0.0 0.0 0.9427 0.8766 0.9691 0.0 0.0 0.2265 0.0 nan 0.7407 0.8562 0.4418 0.6648 0.3464 nan 0.3993 0.5748 0.0 0.8072 0.0 0.0 0.0 0.0 0.3174 0.0 0.0 0.6974 0.0 0.3692 0.3253 0.0 nan 0.0 0.2385 0.0 0.0 0.8599 0.7719 0.9217 0.0 0.0 0.1733 0.0
0.2746 9.5 1900 0.5797 0.2978 0.3595 0.8471 nan 0.8629 0.9477 0.5770 0.7784 0.4531 nan 0.4984 0.7777 0.0 0.9258 0.0 0.0 0.0 0.0 0.5575 0.0 0.0 0.9103 0.0 0.4861 0.3582 0.0 nan 0.0 0.3287 0.0 0.0 0.9462 0.8830 0.9698 0.0 0.0 0.2437 0.0 nan 0.7410 0.8565 0.4411 0.6698 0.3466 nan 0.3982 0.5803 0.0 0.8092 0.0 0.0 0.0 0.0 0.3144 0.0 0.0 0.7000 0.0 0.3715 0.3289 0.0 nan 0.0 0.2446 0.0 0.0 0.8575 0.7704 0.9218 0.0 0.0 0.1790 0.0
0.3607 9.6 1920 0.5941 0.2970 0.3575 0.8456 nan 0.8571 0.9580 0.5710 0.7238 0.4492 nan 0.4884 0.7706 0.0 0.9305 0.0 0.0 0.0 0.0 0.5505 0.0 0.0 0.9117 0.0 0.4975 0.3714 0.0 nan 0.0 0.3271 0.0 0.0 0.9358 0.8878 0.9665 0.0 0.0 0.2429 0.0 nan 0.7387 0.8515 0.4434 0.6432 0.3427 nan 0.3884 0.5768 0.0 0.8068 0.0 0.0 0.0 0.0 0.3156 0.0 0.0 0.7027 0.0 0.3808 0.3404 0.0 nan 0.0 0.2459 0.0 0.0 0.8600 0.7649 0.9235 0.0 0.0 0.1797 0.0
0.551 9.7 1940 0.5854 0.2979 0.3612 0.8452 nan 0.8724 0.9397 0.5686 0.7450 0.4752 nan 0.5028 0.7750 0.0 0.9353 0.0 0.0 0.0 0.0 0.5518 0.0 0.0 0.9036 0.0 0.5075 0.3871 0.0 nan 0.0 0.3322 0.0 0.0 0.9442 0.8904 0.9713 0.0 0.0 0.2548 0.0 nan 0.7333 0.8548 0.4334 0.6499 0.3496 nan 0.3970 0.5874 0.0 0.8014 0.0 0.0 0.0 0.0 0.3017 0.0 0.0 0.7046 0.0 0.3878 0.3525 0.0 nan 0.0 0.2472 0.0 0.0 0.8574 0.7654 0.9218 0.0 0.0 0.1864 0.0
0.417 9.8 1960 0.5867 0.2993 0.3616 0.8462 nan 0.8696 0.9473 0.5746 0.7423 0.4598 nan 0.4883 0.7754 0.0 0.9295 0.0 0.0 0.0 0.0 0.5606 0.0 0.0 0.9018 0.0 0.4964 0.4181 0.0 nan 0.0 0.3385 0.0 0.0 0.9421 0.8914 0.9685 0.0 0.0 0.2674 0.0 nan 0.7348 0.8543 0.4322 0.6508 0.3474 nan 0.3945 0.5816 0.0 0.8074 0.0 0.0 0.0 0.0 0.3141 0.0 0.0 0.7062 0.0 0.3905 0.3765 0.0 nan 0.0 0.2517 0.0 0.0 0.8584 0.7636 0.9229 0.0 0.0 0.1896 0.0
0.3938 9.9 1980 0.5864 0.2984 0.3604 0.8458 nan 0.8685 0.9452 0.5814 0.7414 0.4627 nan 0.4926 0.7724 0.0 0.9271 0.0 0.0 0.0 0.0 0.5601 0.0 0.0 0.9028 0.0 0.4875 0.4032 0.0 nan 0.0 0.3355 0.0 0.0 0.9493 0.8861 0.9661 0.0 0.0 0.2511 0.0 nan 0.7348 0.8543 0.4299 0.6507 0.3471 nan 0.3960 0.5810 0.0 0.8082 0.0 0.0 0.0 0.0 0.3151 0.0 0.0 0.7047 0.0 0.3855 0.3669 0.0 nan 0.0 0.2480 0.0 0.0 0.8549 0.7663 0.9226 0.0 0.0 0.1842 0.0
0.3931 10.0 2000 0.5881 0.2988 0.3613 0.8463 nan 0.8649 0.9502 0.5791 0.7393 0.4485 nan 0.4859 0.7767 0.0 0.9341 0.0 0.0 0.0 0.0 0.5642 0.0 0.0 0.8944 0.0 0.4959 0.4208 0.0 nan 0.0 0.3432 0.0 0.0 0.9466 0.8884 0.9698 0.0 0.0 0.2614 0.0 nan 0.7372 0.8540 0.4322 0.6499 0.3421 nan 0.3932 0.5795 0.0 0.8033 0.0 0.0 0.0 0.0 0.3104 0.0 0.0 0.7075 0.0 0.3911 0.3791 0.0 nan 0.0 0.2524 0.0 0.0 0.8559 0.7644 0.9219 0.0 0.0 0.1876 0.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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