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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: 0.9249
  • Mean Iou: 0.1675
  • Mean Accuracy: 0.2109
  • Overall Accuracy: 0.7776
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8631
  • Accuracy Flat-sidewalk: 0.9423
  • Accuracy Flat-crosswalk: 0.0
  • Accuracy Flat-cyclinglane: 0.4704
  • Accuracy Flat-parkingdriveway: 0.1421
  • Accuracy Flat-railtrack: 0.0
  • Accuracy Flat-curb: 0.0061
  • Accuracy Human-person: 0.0
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.8937
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.0
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.9143
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.0055
  • Accuracy Construction-fenceguardrail: 0.0
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.0
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9291
  • Accuracy Nature-terrain: 0.8710
  • Accuracy Sky: 0.9207
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.0
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.6127
  • Iou Flat-sidewalk: 0.8192
  • Iou Flat-crosswalk: 0.0
  • Iou Flat-cyclinglane: 0.4256
  • Iou Flat-parkingdriveway: 0.1262
  • Iou Flat-railtrack: 0.0
  • Iou Flat-curb: 0.0061
  • Iou Human-person: 0.0
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.6655
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.0
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.5666
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.0054
  • Iou Construction-fenceguardrail: 0.0
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.0
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.7875
  • Iou Nature-terrain: 0.6912
  • Iou Sky: 0.8218
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.0
  • 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: 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: 2

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
2.832 0.05 20 3.1768 0.0700 0.1095 0.5718 nan 0.1365 0.9472 0.0019 0.0006 0.0004 0.0 0.0205 0.0 0.0 0.2074 0.0 0.0 0.0 0.0017 0.0001 0.0 0.0 0.7360 0.0 0.0235 0.0050 0.0 nan 0.0 0.0 0.0 0.0 0.9559 0.0429 0.5329 0.0010 0.0 0.0 0.0 0.0 0.1260 0.5906 0.0016 0.0006 0.0004 0.0 0.0175 0.0 0.0 0.2006 0.0 0.0 0.0 0.0003 0.0001 0.0 0.0 0.3729 0.0 0.0209 0.0044 0.0 0.0 0.0 0.0 0.0 0.0 0.5778 0.0408 0.4932 0.0009 0.0 0.0 0.0
2.3224 0.1 40 2.4686 0.0885 0.1321 0.6347 nan 0.5225 0.9260 0.0005 0.0001 0.0006 0.0 0.0113 0.0 0.0 0.3738 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8191 0.0 0.0263 0.0012 0.0 nan 0.0 0.0 0.0 0.0 0.9649 0.0701 0.6434 0.0002 0.0 0.0 0.0 0.0 0.4240 0.6602 0.0005 0.0001 0.0006 0.0 0.0109 0.0 0.0 0.3292 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3962 0.0 0.0260 0.0011 0.0 0.0 0.0 0.0 0.0 0.0 0.6019 0.0617 0.5862 0.0001 0.0 0.0 0.0
2.1961 0.15 60 1.9886 0.0988 0.1431 0.6500 nan 0.5168 0.9319 0.0 0.0001 0.0000 0.0 0.0032 0.0 0.0 0.5761 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8325 0.0 0.0132 0.0003 0.0 nan 0.0 0.0 0.0 0.0 0.9612 0.1260 0.7625 0.0 0.0 0.0 0.0 nan 0.3929 0.6721 0.0 0.0001 0.0000 0.0 0.0032 0.0 0.0 0.4609 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4375 0.0 0.0131 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.6342 0.1108 0.6353 0.0 0.0 0.0 0.0
2.2964 0.2 80 2.0597 0.1066 0.1503 0.6682 nan 0.6577 0.9207 0.0 0.0000 0.0002 0.0 0.0044 0.0 0.0 0.5257 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8466 0.0 0.0094 0.0001 0.0 nan 0.0 0.0 0.0 0.0 0.9526 0.2022 0.8392 0.0 0.0 0.0 0.0 nan 0.4276 0.7093 0.0 0.0000 0.0002 0.0 0.0044 0.0 0.0 0.4438 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4488 0.0 0.0093 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.6560 0.1833 0.7408 0.0 0.0 0.0 0.0
1.9751 0.25 100 1.7493 0.1186 0.1645 0.6944 nan 0.7604 0.9146 0.0 0.0004 0.0012 0.0 0.0016 0.0 0.0 0.7381 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8273 0.0 0.0026 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9636 0.3289 0.8909 0.0 0.0 0.0 0.0 nan 0.4904 0.7490 0.0 0.0004 0.0012 0.0 0.0016 0.0 0.0 0.5465 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4913 0.0 0.0026 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6542 0.2761 0.7004 0.0 0.0 0.0 0.0
1.7626 0.3 120 1.5608 0.1295 0.1752 0.7118 nan 0.8168 0.9102 0.0 0.0002 0.0025 0.0 0.0001 0.0 0.0 0.8094 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8362 0.0 0.0030 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9492 0.5677 0.8861 0.0 0.0 0.0 0.0 nan 0.4958 0.7592 0.0 0.0002 0.0025 0.0 0.0001 0.0 0.0 0.5680 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5095 0.0 0.0030 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7082 0.4878 0.7392 0.0 0.0 0.0 0.0
1.32 0.35 140 1.5048 0.1323 0.1797 0.7181 nan 0.7883 0.9260 0.0 0.0000 0.0037 0.0 0.0000 0.0 0.0 0.8711 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8590 0.0 0.0022 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9128 0.7088 0.8576 0.0 0.0 0.0 0.0 nan 0.5141 0.7598 0.0 0.0000 0.0037 0.0 0.0000 0.0 0.0 0.5287 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5016 0.0 0.0022 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7458 0.5602 0.7499 0.0 0.0 0.0 0.0
1.6464 0.4 160 1.3886 0.1342 0.1783 0.7217 nan 0.7859 0.9390 0.0 0.0 0.0059 0.0 0.0 0.0 0.0 0.7401 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8508 0.0 0.0010 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9368 0.7223 0.9025 0.0 0.0 0.0 0.0 nan 0.5173 0.7561 0.0 0.0 0.0058 0.0 0.0 0.0 0.0 0.5846 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5059 0.0 0.0010 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7366 0.5802 0.7401 0.0 0.0 0.0 0.0
1.4757 0.45 180 1.3649 0.1367 0.1840 0.7255 nan 0.8587 0.9185 0.0 0.0001 0.0039 0.0 0.0 0.0 0.0 0.8588 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8337 0.0 0.0014 0.0001 0.0 nan 0.0 0.0 0.0 0.0 0.9036 0.7809 0.9138 0.0 0.0 0.0 0.0 nan 0.5077 0.7693 0.0 0.0001 0.0039 0.0 0.0 0.0 0.0 0.5980 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5264 0.0 0.0014 0.0001 0.0 nan 0.0 0.0 0.0 0.0 0.7521 0.6078 0.7438 0.0 0.0 0.0 0.0
2.0018 0.5 200 1.3118 0.1353 0.1839 0.7242 nan 0.7797 0.9457 0.0 0.0029 0.0057 0.0 0.0 0.0 0.0 0.8345 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8509 0.0 0.0018 0.0001 0.0 nan 0.0 0.0 0.0 0.0 0.8704 0.8688 0.9069 0.0 0.0 0.0 0.0 nan 0.5321 0.7602 0.0 0.0029 0.0057 0.0 0.0 0.0 0.0 0.6060 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5276 0.0 0.0018 0.0001 0.0 nan 0.0 0.0 0.0 0.0 0.7133 0.5551 0.7593 0.0 0.0 0.0 0.0
1.4636 0.55 220 1.2729 0.1330 0.1797 0.7249 nan 0.8619 0.9203 0.0 0.0015 0.0067 0.0 0.0 0.0 0.0 0.8903 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8514 0.0 0.0031 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9447 0.5448 0.9040 0.0 0.0 0.0 0.0 nan 0.5249 0.7844 0.0 0.0015 0.0066 0.0 0.0 0.0 0.0 0.5735 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5336 0.0 0.0031 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7136 0.4869 0.7613 0.0 0.0 0.0 0.0
1.1856 0.6 240 1.2551 0.1382 0.1828 0.7274 nan 0.7497 0.9518 0.0 0.0005 0.0048 0.0 0.0 0.0 0.0 0.8893 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8153 0.0 0.0048 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9475 0.7597 0.9107 0.0 0.0 0.0 0.0 nan 0.5097 0.7477 0.0 0.0005 0.0047 0.0 0.0 0.0 0.0 0.6172 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5527 0.0 0.0048 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7293 0.6250 0.7703 0.0 0.0 0.0 0.0
1.4577 0.65 260 1.1862 0.1387 0.1848 0.7304 nan 0.8842 0.9065 0.0 0.0001 0.0024 0.0 0.0 0.0 0.0 0.8566 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8632 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9442 0.7313 0.9080 0.0 0.0 0.0 0.0 nan 0.5121 0.7833 0.0 0.0001 0.0024 0.0 0.0 0.0 0.0 0.6297 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5381 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7437 0.6199 0.7486 0.0 0.0 0.0 0.0
1.0748 0.7 280 1.2000 0.1391 0.1846 0.7301 nan 0.7249 0.9690 0.0 0.0005 0.0064 0.0 0.0 0.0 0.0 0.8909 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8656 0.0 0.0014 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8917 0.8362 0.9065 0.0 0.0 0.0 0.0 nan 0.5306 0.7403 0.0 0.0005 0.0063 0.0 0.0 0.0 0.0 0.6223 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5491 0.0 0.0014 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7566 0.6061 0.7761 0.0 0.0 0.0 0.0
1.642 0.75 300 1.1452 0.1432 0.1880 0.7409 nan 0.8682 0.9389 0.0 0.0030 0.0062 0.0 0.0 0.0 0.0 0.8605 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8759 0.0 0.0020 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9092 0.8515 0.8892 0.0 0.0 0.0 0.0 nan 0.5333 0.7905 0.0 0.0030 0.0062 0.0 0.0 0.0 0.0 0.6393 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5418 0.0 0.0020 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7655 0.6551 0.7893 0.0 0.0 0.0 0.0
1.2166 0.8 320 1.1450 0.1388 0.1849 0.7391 nan 0.8516 0.9460 0.0 0.0043 0.0060 0.0 0.0000 0.0 0.0 0.8944 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8803 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9283 0.6849 0.9071 0.0 0.0 0.0 0.0 nan 0.5584 0.7932 0.0 0.0043 0.0060 0.0 0.0000 0.0 0.0 0.5844 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5259 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7548 0.5985 0.7549 0.0 0.0 0.0 0.0
2.1346 0.85 340 1.1215 0.1428 0.1887 0.7411 nan 0.7956 0.9551 0.0 0.0145 0.0098 0.0 0.0000 0.0 0.0 0.8646 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8884 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9131 0.8828 0.9024 0.0 0.0 0.0 0.0 nan 0.5611 0.7721 0.0 0.0145 0.0097 0.0 0.0000 0.0 0.0 0.6313 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5405 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7563 0.6337 0.7917 0.0 0.0 0.0 0.0
0.8351 0.9 360 1.1012 0.1433 0.1896 0.7449 nan 0.8723 0.9432 0.0 0.0025 0.0114 0.0 0.0 0.0 0.0 0.8822 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8662 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9213 0.8361 0.9201 0.0 0.0 0.0 0.0 nan 0.5472 0.7989 0.0 0.0025 0.0113 0.0 0.0 0.0 0.0 0.6277 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5416 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7666 0.6674 0.7664 0.0 0.0 0.0 0.0
1.152 0.95 380 1.1045 0.1452 0.1891 0.7453 nan 0.8827 0.9332 0.0 0.0457 0.0124 0.0 0.0 0.0 0.0 0.8396 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8848 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9399 0.7910 0.9107 0.0 0.0 0.0 0.0 nan 0.5462 0.7966 0.0 0.0457 0.0123 0.0 0.0 0.0 0.0 0.6494 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5395 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7636 0.6627 0.7763 0.0 0.0 0.0 0.0
1.2062 1.0 400 1.0607 0.1469 0.1897 0.7482 nan 0.8192 0.9644 0.0 0.0944 0.0198 0.0 0.0 0.0 0.0 0.8406 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8821 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9193 0.8054 0.9137 0.0 0.0 0.0 0.0 nan 0.5772 0.7742 0.0 0.0941 0.0195 0.0 0.0 0.0 0.0 0.6414 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5360 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7740 0.6591 0.7710 0.0 0.0 0.0 0.0
1.0116 1.05 420 1.0503 0.1493 0.1950 0.7554 nan 0.8686 0.9478 0.0 0.2033 0.0295 0.0 0.0 0.0 0.0 0.9166 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8409 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9414 0.7667 0.9196 0.0 0.0 0.0 0.0 nan 0.5809 0.8022 0.0 0.1995 0.0287 0.0 0.0 0.0 0.0 0.5916 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5517 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7628 0.6441 0.7652 0.0 0.0 0.0 0.0
1.009 1.1 440 1.0723 0.1529 0.1958 0.7553 nan 0.7797 0.9670 0.0 0.2214 0.0547 0.0 0.0001 0.0 0.0 0.8978 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8927 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9274 0.8016 0.9176 0.0 0.0 0.0 0.0 nan 0.5898 0.7717 0.0 0.2157 0.0526 0.0 0.0001 0.0 0.0 0.6389 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5499 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7760 0.6697 0.7818 0.0 0.0 0.0 0.0
1.1496 1.15 460 1.0417 0.1571 0.2017 0.7607 nan 0.7736 0.9645 0.0 0.3606 0.0669 0.0 0.0001 0.0 0.0 0.8775 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8801 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9098 0.8906 0.9326 0.0 0.0 0.0 0.0 nan 0.6102 0.7737 0.0 0.3374 0.0634 0.0 0.0001 0.0 0.0 0.6549 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5538 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7682 0.6437 0.7772 0.0 0.0 0.0 0.0
1.4669 1.2 480 1.0161 0.1566 0.2024 0.7637 nan 0.8236 0.9531 0.0 0.3507 0.0584 0.0 0.0001 0.0 0.0 0.9165 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8675 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9263 0.8597 0.9222 0.0 0.0 0.0 0.0 nan 0.6005 0.7983 0.0 0.3296 0.0556 0.0 0.0001 0.0 0.0 0.6153 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5498 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7752 0.6654 0.7770 0.0 0.0 0.0 0.0
1.075 1.25 500 1.0124 0.1556 0.2000 0.7634 nan 0.8521 0.9499 0.0 0.3154 0.0410 0.0 0.0001 0.0 0.0 0.8944 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8618 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9442 0.8133 0.9290 0.0 0.0 0.0 0.0 nan 0.5910 0.8068 0.0 0.2992 0.0394 0.0 0.0001 0.0 0.0 0.6338 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5507 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7689 0.6697 0.7737 0.0 0.0 0.0 0.0
0.888 1.3 520 0.9797 0.1597 0.2028 0.7677 nan 0.8590 0.9472 0.0 0.3534 0.0469 0.0 0.0001 0.0 0.0 0.8900 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8807 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9379 0.8578 0.9187 0.0 0.0 0.0 0.0 nan 0.5908 0.8056 0.0 0.3311 0.0448 0.0 0.0001 0.0 0.0 0.6598 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5676 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7712 0.6912 0.8088 0.0 0.0 0.0 0.0
0.8099 1.35 540 0.9760 0.1589 0.2026 0.7678 nan 0.8526 0.9534 0.0 0.3370 0.0313 0.0 0.0000 0.0 0.0 0.9235 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8862 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9252 0.8551 0.9206 0.0 0.0 0.0 0.0 nan 0.5954 0.8014 0.0 0.3188 0.0303 0.0 0.0000 0.0 0.0 0.6382 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5706 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7830 0.6934 0.8122 0.0 0.0 0.0 0.0
1.1998 1.4 560 0.9815 0.1578 0.2030 0.7631 nan 0.8956 0.9250 0.0 0.3267 0.0461 0.0 0.0004 0.0 0.0 0.8929 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8956 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9206 0.8669 0.9275 0.0 0.0 0.0 0.0 nan 0.5656 0.8136 0.0 0.3102 0.0440 0.0 0.0004 0.0 0.0 0.6574 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5524 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7894 0.6940 0.7818 0.0 0.0 0.0 0.0
1.5591 1.45 580 0.9654 0.1618 0.2043 0.7698 nan 0.8198 0.9655 0.0 0.3715 0.0848 0.0 0.0003 0.0 0.0 0.8935 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8965 0.0 0.0013 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9146 0.8730 0.9198 0.0 0.0 0.0 0.0 nan 0.6182 0.7898 0.0 0.3467 0.0792 0.0 0.0003 0.0 0.0 0.6590 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5647 0.0 0.0013 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7871 0.6835 0.8101 0.0 0.0 0.0 0.0
0.861 1.5 600 0.9622 0.1607 0.2045 0.7689 nan 0.8163 0.9648 0.0 0.3780 0.0907 0.0 0.0002 0.0 0.0 0.9187 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8714 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9229 0.8485 0.9361 0.0 0.0 0.0 0.0 nan 0.6180 0.7903 0.0 0.3541 0.0844 0.0 0.0002 0.0 0.0 0.6307 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5609 0.0 0.0006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7854 0.6904 0.7884 0.0 0.0 0.0 0.0
0.8335 1.55 620 0.9569 0.1598 0.2050 0.7686 nan 0.8421 0.9561 0.0 0.3493 0.0928 0.0 0.0012 0.0 0.0 0.9261 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8753 0.0 0.0013 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9172 0.8688 0.9335 0.0 0.0 0.0 0.0 nan 0.6069 0.8031 0.0 0.3306 0.0860 0.0 0.0012 0.0 0.0 0.6123 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5618 0.0 0.0013 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7851 0.6911 0.7950 0.0 0.0 0.0 0.0
0.9988 1.6 640 0.9337 0.1611 0.2050 0.7711 nan 0.8595 0.9538 0.0 0.3512 0.0928 0.0 0.0006 0.0 0.0 0.8962 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8854 0.0 0.0004 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9281 0.8594 0.9367 0.0 0.0 0.0 0.0 nan 0.6062 0.8105 0.0 0.3310 0.0868 0.0 0.0006 0.0 0.0 0.6565 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5596 0.0 0.0004 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7819 0.6958 0.7880 0.0 0.0 0.0 0.0
0.966 1.65 660 0.9322 0.1612 0.2051 0.7707 nan 0.8706 0.9494 0.0 0.3470 0.0997 0.0 0.0005 0.0 0.0 0.8905 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8722 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9347 0.8652 0.9364 0.0 0.0 0.0 0.0 nan 0.5953 0.8136 0.0 0.3281 0.0922 0.0 0.0005 0.0 0.0 0.6654 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5696 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7756 0.6890 0.7885 0.0 0.0 0.0 0.0
1.2154 1.7 680 0.9373 0.1611 0.2048 0.7710 nan 0.8448 0.9577 0.0 0.3717 0.1010 0.0 0.0007 0.0 0.0 0.9173 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8613 0.0 0.0026 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9411 0.8371 0.9246 0.0 0.0 0.0 0.0 nan 0.6096 0.8056 0.0 0.3487 0.0930 0.0 0.0007 0.0 0.0 0.6272 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5696 0.0 0.0026 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7762 0.6911 0.7931 0.0 0.0 0.0 0.0
1.7979 1.75 700 0.9429 0.1622 0.2067 0.7717 nan 0.8496 0.9548 0.0 0.3821 0.1182 0.0 0.0013 0.0 0.0 0.9071 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8803 0.0 0.0043 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9202 0.8812 0.9204 0.0 0.0 0.0 0.0 nan 0.6104 0.8088 0.0 0.3583 0.1074 0.0 0.0013 0.0 0.0 0.6410 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5675 0.0 0.0043 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7784 0.6767 0.7994 0.0 0.0 0.0 0.0
0.8366 1.8 720 0.9379 0.1645 0.2075 0.7745 nan 0.8359 0.9580 0.0 0.4130 0.1275 0.0 0.0021 0.0 0.0 0.8998 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8704 0.0 0.0088 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.9450 0.8617 0.9251 0.0 0.0 0.0 0.0 nan 0.6227 0.8035 0.0 0.3850 0.1147 0.0 0.0021 0.0 0.0 0.6544 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5777 0.0 0.0088 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.7682 0.6867 0.8055 0.0 0.0 0.0 0.0
1.0448 1.85 740 0.9419 0.1659 0.2087 0.7769 nan 0.8483 0.9532 0.0 0.4442 0.1387 0.0 0.0028 0.0 0.0 0.8986 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8865 0.0 0.0042 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9458 0.8442 0.9215 0.0 0.0 0.0 0.0 nan 0.6240 0.8122 0.0 0.4077 0.1237 0.0 0.0028 0.0 0.0 0.6529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5700 0.0 0.0041 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7767 0.6938 0.8070 0.0 0.0 0.0 0.0
0.9737 1.9 760 0.9193 0.1664 0.2082 0.7772 nan 0.8420 0.9586 0.0 0.4353 0.1193 0.0 0.0010 0.0 0.0 0.9082 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8955 0.0 0.0079 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9385 0.8464 0.9190 0.0 0.0 0.0 0.0 nan 0.6232 0.8053 0.0 0.4022 0.1088 0.0 0.0010 0.0 0.0 0.6549 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5766 0.0 0.0079 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7843 0.7077 0.8180 0.0 0.0 0.0 0.0
1.0716 1.95 780 0.9170 0.1672 0.2098 0.7785 nan 0.8434 0.9539 0.0 0.4671 0.1283 0.0 0.0037 0.0 0.0 0.9012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8984 0.0 0.0058 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9398 0.8661 0.9157 0.0 0.0 0.0 0.0 nan 0.6242 0.8106 0.0 0.4232 0.1156 0.0 0.0037 0.0 0.0 0.6631 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5777 0.0 0.0057 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7811 0.6920 0.8223 0.0 0.0 0.0 0.0
1.4144 2.0 800 0.9249 0.1675 0.2109 0.7776 nan 0.8631 0.9423 0.0 0.4704 0.1421 0.0 0.0061 0.0 0.0 0.8937 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9143 0.0 0.0055 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9291 0.8710 0.9207 0.0 0.0 0.0 0.0 nan 0.6127 0.8192 0.0 0.4256 0.1262 0.0 0.0061 0.0 0.0 0.6655 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5666 0.0 0.0054 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7875 0.6912 0.8218 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.6.1
  • Tokenizers 0.12.1
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Image Segmentation
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