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segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

Image Segmentation
Transformers
PyTorch
segformer
vision
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segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

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: 0.5818
  • Mean Iou: 0.3011
  • Mean Accuracy: 0.3610
  • Overall Accuracy: 0.8444
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8364
  • Accuracy Flat-sidewalk: 0.9386
  • Accuracy Flat-crosswalk: 0.7005
  • Accuracy Flat-cyclinglane: 0.7745
  • Accuracy Flat-parkingdriveway: 0.4695
  • Accuracy Flat-railtrack: 0.0
  • Accuracy Flat-curb: 0.5463
  • Accuracy Human-person: 0.6230
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9128
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: nan
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.4478
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8809
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.5418
  • Accuracy Construction-fenceguardrail: 0.5574
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.3278
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9459
  • Accuracy Nature-terrain: 0.8600
  • Accuracy Sky: 0.9662
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.2230
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7395
  • Iou Flat-sidewalk: 0.8314
  • Iou Flat-crosswalk: 0.6251
  • Iou Flat-cyclinglane: 0.7160
  • Iou Flat-parkingdriveway: 0.3216
  • Iou Flat-railtrack: 0.0
  • Iou Flat-curb: 0.4206
  • Iou Human-person: 0.3351
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7711
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: nan
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.3854
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6893
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.4039
  • Iou Construction-fenceguardrail: 0.4696
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.2496
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8583
  • Iou Nature-terrain: 0.7294
  • Iou Sky: 0.9135
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.1745
  • 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: 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
2.488 0.12 50 2.3203 0.1076 0.1555 0.6454 nan 0.5629 0.8917 0.0 0.1457 0.0025 0.0 0.0001 0.0004 0.0 0.7999 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.7386 0.0 0.0013 0.0002 0.0 nan 0.0 0.0 0.0 0.0 0.9632 0.0660 0.8030 0.0001 0.0 0.0003 0.0 nan 0.3879 0.6486 0.0 0.1312 0.0025 0.0 0.0001 0.0004 0.0 0.5250 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.4739 0.0 0.0013 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.6159 0.0553 0.7082 0.0001 0.0 0.0003 0.0
1.6299 0.25 100 1.7345 0.1218 0.1659 0.6685 nan 0.5674 0.9286 0.0 0.0107 0.0004 0.0 0.0 0.0 0.0 0.8298 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8395 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9407 0.3829 0.8087 0.0 0.0 0.0000 0.0 nan 0.4093 0.6497 0.0 0.0107 0.0004 0.0 0.0 0.0 0.0 0.5763 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.4921 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7001 0.3104 0.7495 0.0 0.0 0.0000 0.0
1.4309 0.38 150 1.5198 0.1271 0.1734 0.6897 nan 0.7282 0.9071 0.0 0.0079 0.0002 0.0 0.0 0.0 0.0 0.8531 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8527 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9456 0.3840 0.8690 0.0 0.0 0.0 0.0 nan 0.4687 0.7008 0.0 0.0079 0.0002 0.0 0.0 0.0 0.0 0.5573 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5187 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7035 0.3237 0.7861 0.0 0.0 0.0 0.0
1.2814 0.5 200 1.3563 0.1450 0.1908 0.7158 nan 0.6789 0.9448 0.0 0.2102 0.0002 0.0 0.0 0.0 0.0 0.8591 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8588 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9132 0.7877 0.8520 0.0 0.0 0.0 0.0 nan 0.4965 0.6981 0.0 0.2093 0.0002 0.0 0.0 0.0 0.0 0.6055 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5147 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7683 0.5627 0.7841 0.0 0.0 0.0 0.0
1.6945 0.62 250 1.2967 0.1469 0.1971 0.7191 nan 0.7823 0.8949 0.0 0.2470 0.0006 0.0 0.0 0.0 0.0 0.9344 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8313 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9041 0.8094 0.9029 0.0 0.0 0.0000 0.0 nan 0.4942 0.7283 0.0 0.2448 0.0006 0.0 0.0 0.0 0.0 0.5256 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5211 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7719 0.6074 0.8072 0.0 0.0 0.0000 0.0
1.5522 0.75 300 1.1943 0.1523 0.1953 0.7277 nan 0.7414 0.9365 0.0 0.2922 0.0116 0.0 0.0001 0.0 0.0 0.8427 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9099 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9003 0.7090 0.9066 0.0 0.0 0.0 0.0 nan 0.5376 0.7180 0.0 0.2825 0.0114 0.0 0.0001 0.0 0.0 0.6281 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.4879 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7785 0.6144 0.8143 0.0 0.0 0.0 0.0
1.7093 0.88 350 1.1594 0.1561 0.2008 0.7326 nan 0.6502 0.9568 0.0 0.3765 0.0155 0.0 0.0 0.0 0.0 0.8670 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8770 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9201 0.8412 0.9199 0.0 0.0 0.0 0.0 nan 0.5117 0.7083 0.0 0.3374 0.0152 0.0 0.0 0.0 0.0 0.6334 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5252 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7934 0.6433 0.8275 0.0 0.0 0.0 0.0
1.1445 1.0 400 1.1201 0.1552 0.2009 0.7320 nan 0.7249 0.9356 0.0 0.3739 0.0354 0.0 0.0 0.0 0.0 0.7810 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9016 0.0 0.0008 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8938 0.8789 0.9039 0.0 0.0 0.0 0.0 nan 0.5260 0.7265 0.0 0.3324 0.0341 0.0 0.0 0.0 0.0 0.6367 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5198 0.0 0.0008 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7766 0.5818 0.8319 0.0 0.0 0.0 0.0
1.5762 1.12 450 1.0649 0.1578 0.2040 0.7385 nan 0.7259 0.9512 0.0 0.3550 0.0466 0.0 0.0001 0.0 0.0 0.8674 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8840 0.0 0.0099 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8861 0.8572 0.9454 0.0 0.0 0.0003 0.0 nan 0.5448 0.7259 0.0 0.3299 0.0441 0.0 0.0001 0.0 0.0 0.6460 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5402 0.0 0.0098 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7752 0.5983 0.8354 0.0 0.0 0.0003 0.0
1.1724 1.25 500 1.0340 0.1636 0.2095 0.7431 nan 0.7165 0.9284 0.0 0.5125 0.0790 0.0 0.0277 0.0 0.0 0.8230 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9039 0.0 0.0086 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9127 0.8649 0.9269 0.0 0.0 0.0003 0.0 nan 0.5347 0.7461 0.0 0.3799 0.0718 0.0 0.0264 0.0 0.0 0.6598 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5231 0.0 0.0085 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8016 0.6426 0.8395 0.0 0.0 0.0003 0.0
1.7008 1.38 550 0.9811 0.1662 0.2101 0.7502 nan 0.8048 0.9259 0.0 0.3869 0.1217 0.0 0.0361 0.0 0.0 0.8697 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8510 0.0 0.0281 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9411 0.8227 0.9355 0.0 0.0 0.0006 0.0 nan 0.5594 0.7493 0.0 0.3700 0.0972 0.0 0.0346 0.0 0.0 0.6461 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5481 0.0 0.0272 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7903 0.6704 0.8245 0.0 0.0 0.0006 0.0
0.5924 1.5 600 0.9687 0.1691 0.2121 0.7520 nan 0.7776 0.9355 0.0 0.4147 0.1552 0.0 0.0571 0.0 0.0 0.8155 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9139 0.0 0.0114 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9159 0.8587 0.9297 0.0 0.0 0.0010 0.0 nan 0.5641 0.7466 0.0 0.3827 0.1214 0.0 0.0526 0.0 0.0 0.6719 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5389 0.0 0.0112 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8124 0.6586 0.8511 0.0 0.0 0.0010 0.0
1.9075 1.62 650 0.9413 0.1721 0.2149 0.7567 nan 0.7972 0.9268 0.0 0.4365 0.1483 0.0 0.1357 0.0 0.0 0.8640 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8842 0.0 0.0222 0.0 0.0 nan 0.0 0.0002 0.0 0.0 0.9492 0.7697 0.9410 0.0 0.0 0.0021 0.0 nan 0.5851 0.7521 0.0 0.3986 0.1187 0.0 0.1185 0.0 0.0 0.6666 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5508 0.0 0.0215 0.0 0.0 nan 0.0 0.0002 0.0 0.0 0.7905 0.6580 0.8459 0.0 0.0 0.0021 0.0
1.1035 1.75 700 0.9646 0.1720 0.2138 0.7547 nan 0.7370 0.9564 0.0 0.4065 0.1380 0.0 0.1129 0.0 0.0 0.8711 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8830 0.0 0.0262 0.0 0.0 nan 0.0 0.0077 0.0 0.0 0.9277 0.8131 0.9589 0.0 0.0 0.0024 0.0 nan 0.5860 0.7301 0.0 0.3914 0.1090 0.0 0.1019 0.0 0.0 0.6809 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5383 0.0 0.0256 0.0 0.0 nan 0.0 0.0076 0.0 0.0 0.8127 0.6754 0.8428 0.0 0.0 0.0024 0.0
0.6372 1.88 750 0.8958 0.1813 0.2262 0.7636 nan 0.7484 0.9387 0.0 0.4605 0.2077 0.0 0.2876 0.0 0.0 0.9013 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9166 0.0 0.0551 0.0 0.0 nan 0.0 0.0033 0.0 0.0 0.9241 0.8566 0.9364 0.0 0.0 0.0030 0.0 nan 0.5909 0.7555 0.0 0.4116 0.1516 0.0 0.2190 0.0 0.0 0.6771 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5549 0.0 0.0523 0.0 0.0 nan 0.0 0.0033 0.0 0.0 0.8228 0.6811 0.8775 0.0 0.0 0.0029 0.0
0.5682 2.0 800 0.8480 0.1900 0.2386 0.7738 nan 0.7474 0.9230 0.0 0.6150 0.3295 0.0 0.3338 0.0 0.0 0.9118 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.9131 0.0 0.1108 0.0 0.0 nan 0.0 0.0085 0.0 0.0 0.9308 0.8564 0.9532 0.0 0.0 0.0020 0.0 nan 0.6101 0.7761 0.0 0.5059 0.2038 0.0 0.2501 0.0 0.0 0.6655 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5699 0.0 0.0966 0.0 0.0 nan 0.0 0.0085 0.0 0.0 0.8209 0.6909 0.8803 0.0 0.0 0.0020 0.0
0.725 2.12 850 0.8578 0.1879 0.2359 0.7747 nan 0.7804 0.9279 0.0 0.5716 0.2711 0.0 0.2857 0.0 0.0 0.9158 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8883 0.0 0.1206 0.0 0.0 nan 0.0 0.0090 0.0 0.0 0.9294 0.8843 0.9572 0.0 0.0 0.0087 0.0 nan 0.6250 0.7717 0.0 0.5054 0.1887 0.0 0.2134 0.0 0.0 0.6573 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5817 0.0 0.1049 0.0 0.0 nan 0.0 0.0090 0.0 0.0 0.8161 0.6510 0.8790 0.0 0.0 0.0085 0.0
0.51 2.25 900 0.8616 0.1941 0.2441 0.7678 nan 0.6722 0.9332 0.0 0.5630 0.4052 0.0 0.3876 0.0 0.0 0.8768 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8580 0.0 0.3540 0.0 0.0 nan 0.0 0.0175 0.0 0.0 0.9522 0.8271 0.9557 0.0 0.0 0.0083 0.0 nan 0.5804 0.7650 0.0 0.4572 0.1984 0.0 0.2696 0.0 0.0 0.6993 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5980 0.0 0.2558 0.0 0.0 nan 0.0 0.0173 0.0 0.0 0.8087 0.6755 0.8764 0.0 0.0 0.0080 0.0
0.9404 2.38 950 0.8303 0.1965 0.2458 0.7781 nan 0.7834 0.9231 0.0 0.5345 0.3098 0.0 0.3520 0.0 0.0 0.9111 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8712 0.0 0.3564 0.0 0.0 nan 0.0 0.0286 0.0 0.0 0.9357 0.8818 0.9543 0.0 0.0 0.0227 0.0 nan 0.6167 0.7711 0.0 0.4738 0.2072 0.0 0.2605 0.0 0.0 0.6721 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.6204 0.0 0.2520 0.0 0.0 nan 0.0 0.0281 0.0 0.0 0.8179 0.6627 0.8842 0.0 0.0 0.0213 0.0
0.4844 2.5 1000 0.8113 0.1952 0.2431 0.7762 nan 0.7824 0.9354 0.0 0.4556 0.3144 0.0 0.3925 0.0 0.0 0.9023 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8776 0.0 0.3066 0.0 0.0 nan 0.0 0.0409 0.0 0.0 0.9265 0.8766 0.9575 0.0 0.0 0.0111 0.0 nan 0.6253 0.7656 0.0 0.4358 0.2015 0.0 0.2825 0.0 0.0 0.6866 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.5965 0.0 0.2222 0.0 0.0 nan 0.0 0.0405 0.0 0.0 0.8217 0.6857 0.8731 0.0 0.0 0.0107 0.0
0.5377 2.62 1050 0.8262 0.1955 0.2429 0.7755 nan 0.7408 0.9399 0.0 0.4855 0.3249 0.0 0.4112 0.0013 0.0 0.9104 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.8662 0.0 0.3181 0.0 0.0 nan 0.0 0.0144 0.0 0.0 0.9553 0.8099 0.9541 0.0 0.0 0.0409 0.0 nan 0.6230 0.7603 0.0 0.4479 0.2190 0.0 0.2781 0.0013 0.0 0.6791 0.0 nan 0.0 0.0 0.0 0.0 0.0 0.6198 0.0 0.2235 0.0 0.0 nan 0.0 0.0143 0.0 0.0 0.8064 0.6616 0.8858 0.0 0.0 0.0363 0.0
0.5133 2.75 1100 0.8080 0.1985 0.2479 0.7775 nan 0.7620 0.9341 0.0 0.5057 0.3786 0.0 0.3555 0.0025 0.0 0.9024 0.0 nan 0.0 0.0 0.0002 0.0 0.0 0.8409 0.0 0.4094 0.0 0.0 nan 0.0 0.0365 0.0 0.0 0.9372 0.8735 0.9667 0.0 0.0 0.0286 0.0 nan 0.6150 0.7703 0.0 0.4541 0.2155 0.0 0.2686 0.0025 0.0 0.6940 0.0 nan 0.0 0.0 0.0002 0.0 0.0 0.6231 0.0 0.2665 0.0 0.0 nan 0.0 0.0358 0.0 0.0 0.8177 0.6785 0.8857 0.0 0.0 0.0258 0.0
0.9712 2.88 1150 0.8097 0.1928 0.2371 0.7741 nan 0.8580 0.9160 0.0 0.4079 0.2468 0.0 0.2023 0.0377 0.0 0.9173 0.0 nan 0.0 0.0 0.0001 0.0 0.0 0.8780 0.0 0.2836 0.0000 0.0 nan 0.0 0.0766 0.0 0.0 0.9411 0.8324 0.9629 0.0 0.0 0.0272 0.0 nan 0.5977 0.7718 0.0 0.3912 0.1778 0.0 0.1669 0.0371 0.0 0.6803 0.0 nan 0.0 0.0 0.0001 0.0 0.0 0.6186 0.0 0.2094 0.0000 0.0 nan 0.0 0.0748 0.0 0.0 0.8252 0.7069 0.8861 0.0 0.0 0.0254 0.0
0.5065 3.0 1200 0.7834 0.2004 0.2494 0.7787 nan 0.8491 0.8819 0.0 0.5845 0.3527 0.0 0.3553 0.0501 0.0 0.9198 0.0 nan 0.0 0.0 0.0014 0.0 0.0 0.8944 0.0 0.2436 0.0001 0.0 nan 0.0 0.0703 0.0 0.0 0.9449 0.8381 0.9622 0.0 0.0 0.0309 0.0 nan 0.6049 0.7791 0.0 0.5258 0.2196 0.0 0.2507 0.0488 0.0 0.6789 0.0 nan 0.0 0.0 0.0014 0.0 0.0 0.6144 0.0 0.1886 0.0001 0.0 nan 0.0 0.0683 0.0 0.0 0.8257 0.7028 0.8773 0.0 0.0 0.0278 0.0
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0.7004 7.0 2800 0.6274 0.2874 0.3482 0.8305 nan 0.7888 0.9403 0.5878 0.7560 0.4348 0.0 0.5041 0.5891 0.0 0.9200 0.0 nan 0.0 0.0 0.3797 0.0 0.0 0.8462 0.0 0.5907 0.4789 0.0 nan 0.0 0.3490 0.0 0.0 0.9451 0.8642 0.9649 0.0 0.0 0.2023 0.0 nan 0.7027 0.8129 0.5522 0.6624 0.2862 0.0 0.3848 0.3115 0.0 0.7656 0.0 nan 0.0 0.0 0.3405 0.0 0.0 0.6866 0.0 0.3918 0.4008 0.0 nan 0.0 0.2539 0.0 0.0 0.8526 0.7267 0.9086 0.0 0.0 0.1584 0.0
0.4585 7.12 2850 0.6071 0.2919 0.3501 0.8403 nan 0.8647 0.9271 0.5548 0.7557 0.4746 0.0 0.5295 0.5841 0.0 0.9200 0.0 nan 0.0 0.0 0.3762 0.0 0.0 0.9060 0.0 0.5504 0.4677 0.0 nan 0.0 0.3497 0.0 0.0 0.9375 0.8628 0.9623 0.0 0.0 0.1786 0.0 nan 0.7391 0.8300 0.5397 0.7073 0.3054 0.0 0.4055 0.3090 0.0 0.7608 0.0 nan 0.0 0.0 0.3416 0.0 0.0 0.6935 0.0 0.4100 0.4183 0.0 nan 0.0 0.2544 0.0 0.0 0.8556 0.7156 0.9094 0.0 0.0 0.1445 0.0
0.5376 7.25 2900 0.6132 0.2882 0.3473 0.8338 nan 0.8155 0.9337 0.6034 0.7660 0.4710 0.0 0.4848 0.5751 0.0 0.9343 0.0 nan 0.0 0.0 0.3926 0.0 0.0 0.8519 0.0 0.6031 0.4158 0.0 nan 0.0 0.3384 0.0 0.0 0.9504 0.8445 0.9681 0.0 0.0 0.1651 0.0 nan 0.7171 0.8186 0.5670 0.6853 0.3079 0.0 0.3894 0.3251 0.0 0.7538 0.0 nan 0.0 0.0 0.3447 0.0 0.0 0.6852 0.0 0.3932 0.3749 0.0 nan 0.0 0.2500 0.0 0.0 0.8496 0.7157 0.9100 0.0 0.0 0.1362 0.0
0.8122 7.38 2950 0.5909 0.2962 0.3554 0.8392 nan 0.8091 0.9412 0.6466 0.7718 0.4751 0.0 0.5177 0.6016 0.0 0.9080 0.0 nan 0.0 0.0 0.4417 0.0 0.0 0.8859 0.0 0.5373 0.5146 0.0 nan 0.0 0.3196 0.0 0.0 0.9460 0.8538 0.9662 0.0 0.0 0.2365 0.0 nan 0.7260 0.8224 0.5813 0.7010 0.3154 0.0 0.3948 0.3090 0.0 0.7724 0.0 nan 0.0 0.0 0.3926 0.0 0.0 0.6921 0.0 0.4100 0.4498 0.0 nan 0.0 0.2447 0.0 0.0 0.8537 0.7256 0.9103 0.0 0.0 0.1782 0.0
0.3453 7.5 3000 0.5974 0.2921 0.3480 0.8385 nan 0.8227 0.9410 0.6648 0.7513 0.4138 0.0 0.5276 0.5763 0.0 0.9103 0.0 nan 0.0 0.0 0.3788 0.0 0.0 0.8851 0.0 0.5094 0.5078 0.0 nan 0.0 0.2979 0.0 0.0 0.9538 0.8589 0.9633 0.0 0.0 0.1738 0.0 nan 0.7255 0.8212 0.5890 0.6919 0.3014 0.0 0.4090 0.3098 0.0 0.7660 0.0 nan 0.0 0.0 0.3425 0.0 0.0 0.6849 0.0 0.3964 0.4477 0.0 nan 0.0 0.2358 0.0 0.0 0.8483 0.7257 0.9112 0.0 0.0 0.1416 0.0
0.4628 7.62 3050 0.5971 0.2919 0.3514 0.8371 nan 0.8185 0.9402 0.6444 0.7747 0.3999 0.0 0.5277 0.5876 0.0 0.9099 0.0 nan 0.0 0.0 0.4217 0.0 0.0 0.8667 0.0 0.5486 0.5637 0.0 nan 0.0 0.3187 0.0 0.0 0.9444 0.8713 0.9631 0.0 0.0 0.1452 0.0 nan 0.7199 0.8225 0.5822 0.6970 0.2991 0.0 0.4052 0.3179 0.0 0.7652 0.0 nan 0.0 0.0 0.3749 0.0 0.0 0.6743 0.0 0.3871 0.4440 0.0 nan 0.0 0.2444 0.0 0.0 0.8556 0.7193 0.9118 0.0 0.0 0.1215 0.0
1.6032 7.75 3100 0.6105 0.2925 0.3547 0.8333 nan 0.8138 0.9386 0.6522 0.7084 0.4581 0.0 0.5056 0.6305 0.0 0.9079 0.0 nan 0.0 0.0 0.4763 0.0 0.0 0.8483 0.0 0.5818 0.5395 0.0 nan 0.0 0.3222 0.0 0.0 0.9458 0.8723 0.9676 0.0 0.0 0.1810 0.0 nan 0.7112 0.8156 0.5762 0.6682 0.3138 0.0 0.3962 0.3092 0.0 0.7700 0.0 nan 0.0 0.0 0.4116 0.0 0.0 0.6719 0.0 0.3836 0.4498 0.0 nan 0.0 0.2464 0.0 0.0 0.8550 0.7242 0.9102 0.0 0.0 0.1482 0.0
0.2408 7.88 3150 0.5932 0.2955 0.3586 0.8381 nan 0.8021 0.9346 0.6598 0.7938 0.5279 0.0 0.5633 0.6333 0.0 0.9050 0.0 nan 0.0 0.0 0.4273 0.0 0.0 0.8611 0.0 0.5607 0.5245 0.0 nan 0.0 0.3308 0.0 0.0 0.9497 0.8486 0.9692 0.0 0.0 0.1826 0.0 nan 0.7185 0.8279 0.5987 0.7105 0.3205 0.0 0.4141 0.2957 0.0 0.7709 0.0 nan 0.0 0.0 0.3758 0.0 0.0 0.6796 0.0 0.3960 0.4542 0.0 nan 0.0 0.2473 0.0 0.0 0.8530 0.7347 0.9100 0.0 0.0 0.1486 0.0
0.5243 8.0 3200 0.5799 0.2979 0.3597 0.8435 nan 0.8682 0.9230 0.6693 0.8014 0.4804 0.0 0.5210 0.6297 0.0 0.9214 0.0 nan 0.0 0.0 0.4416 0.0 0.0 0.8687 0.0 0.5426 0.5655 0.0 nan 0.0 0.3073 0.0 0.0 0.9424 0.8744 0.9677 0.0 0.0 0.1860 0.0 nan 0.7427 0.8376 0.6361 0.7198 0.3149 0.0 0.3952 0.3306 0.0 0.7625 0.0 nan 0.0 0.0 0.3724 0.0 0.0 0.6834 0.0 0.3969 0.4529 0.0 nan 0.0 0.2406 0.0 0.0 0.8569 0.7294 0.9109 0.0 0.0 0.1505 0.0
0.7106 8.12 3250 0.5898 0.2938 0.3551 0.8390 nan 0.8028 0.9358 0.6853 0.8185 0.4355 0.0 0.5430 0.6255 0.0 0.9128 0.0 nan 0.0 0.0 0.4179 0.0 0.0 0.8797 0.0 0.5200 0.5480 0.0 nan 0.0 0.2941 0.0 0.0 0.9499 0.8647 0.9643 0.0 0.0 0.1668 0.0 nan 0.7124 0.8312 0.6000 0.7053 0.2940 0.0 0.4078 0.3024 0.0 0.7677 0.0 nan 0.0 0.0 0.3681 0.0 0.0 0.6838 0.0 0.3989 0.4578 0.0 nan 0.0 0.2355 0.0 0.0 0.8532 0.7319 0.9131 0.0 0.0 0.1374 0.0
0.3865 8.25 3300 0.5789 0.2964 0.3607 0.8419 nan 0.8309 0.9310 0.7078 0.7971 0.4823 0.0 0.5610 0.6033 0.0 0.9205 0.0 nan 0.0 0.0 0.4831 0.0 0.0 0.8636 0.0 0.5286 0.5814 0.0 nan 0.0 0.3079 0.0 0.0 0.9487 0.8607 0.9688 0.0 0.0 0.1672 0.0 nan 0.7273 0.8400 0.5976 0.7206 0.3247 0.0 0.4121 0.3307 0.0 0.7657 0.0 nan 0.0 0.0 0.3897 0.0 0.0 0.6828 0.0 0.3820 0.4413 0.0 nan 0.0 0.2445 0.0 0.0 0.8532 0.7225 0.9115 0.0 0.0 0.1392 0.0
0.5896 8.38 3350 0.6025 0.2943 0.3538 0.8375 nan 0.8034 0.9395 0.6203 0.7912 0.4404 0.0 0.5404 0.6167 0.0 0.9121 0.0 nan 0.0 0.0 0.4611 0.0 0.0 0.8900 0.0 0.5326 0.5242 0.0 nan 0.0 0.3185 0.0 0.0 0.9474 0.8322 0.9662 0.0 0.0 0.1859 0.0 nan 0.7142 0.8253 0.5802 0.6994 0.2989 0.0 0.4128 0.3161 0.0 0.7676 0.0 nan 0.0 0.0 0.3812 0.0 0.0 0.6786 0.0 0.3960 0.4637 0.0 nan 0.0 0.2466 0.0 0.0 0.8527 0.7224 0.9117 0.0 0.0 0.1499 0.0
1.6879 8.5 3400 0.5871 0.2966 0.3589 0.8414 nan 0.8057 0.9414 0.6753 0.8033 0.4564 0.0 0.5567 0.6269 0.0 0.9270 0.0 nan 0.0 0.0 0.3957 0.0 0.0 0.8722 0.0 0.5594 0.5370 0.0 nan 0.0 0.3143 0.0 0.0 0.9407 0.8642 0.9686 0.0 0.0 0.2395 0.0 nan 0.7284 0.8327 0.6046 0.7031 0.3060 0.0 0.4110 0.3216 0.0 0.7609 0.0 nan 0.0 0.0 0.3409 0.0 0.0 0.6896 0.0 0.4035 0.4605 0.0 nan 0.0 0.2464 0.0 0.0 0.8586 0.7306 0.9114 0.0 0.0 0.1818 0.0
0.6102 8.62 3450 0.5856 0.3002 0.3654 0.8415 nan 0.8138 0.9321 0.6827 0.7914 0.5197 0.0 0.5760 0.6360 0.0 0.9170 0.0 nan 0.0 0.0 0.4329 0.0 0.0 0.8645 0.0 0.5720 0.5589 0.0 nan 0.0 0.3342 0.0 0.0 0.9411 0.8703 0.9668 0.0 0.0 0.2819 0.0 nan 0.7285 0.8326 0.6223 0.7048 0.3289 0.0 0.4190 0.3168 0.0 0.7722 0.0 nan 0.0 0.0 0.3742 0.0 0.0 0.6903 0.0 0.3949 0.4580 0.0 nan 0.0 0.2568 0.0 0.0 0.8579 0.7263 0.9125 0.0 0.0 0.2096 0.0
0.5784 8.75 3500 0.5754 0.3011 0.3608 0.8461 nan 0.8669 0.9306 0.6895 0.7825 0.5161 0.0 0.5344 0.5997 0.0 0.9154 0.0 nan 0.0 0.0 0.4049 0.0 0.0 0.8770 0.0 0.5577 0.5588 0.0 nan 0.0 0.3366 0.0 0.0 0.9399 0.8514 0.9688 0.0 0.0 0.2159 0.0 nan 0.7534 0.8392 0.6345 0.7241 0.3294 0.0 0.4154 0.3472 0.0 0.7644 0.0 nan 0.0 0.0 0.3513 0.0 0.0 0.6833 0.0 0.4003 0.4627 0.0 nan 0.0 0.2555 0.0 0.0 0.8589 0.7317 0.9111 0.0 0.0 0.1713 0.0
1.7496 8.88 3550 0.5936 0.2977 0.3537 0.8416 nan 0.8368 0.9449 0.6772 0.7436 0.4208 0.0 0.5329 0.5842 0.0 0.9125 0.0 nan 0.0 0.0 0.4109 0.0 0.0 0.8839 0.0 0.5324 0.5578 0.0 nan 0.0 0.3259 0.0 0.0 0.9427 0.8489 0.9690 0.0 0.0 0.1938 0.0 nan 0.7350 0.8241 0.6306 0.6945 0.2953 0.0 0.4129 0.3417 0.0 0.7659 0.0 nan 0.0 0.0 0.3593 0.0 0.0 0.6860 0.0 0.4051 0.4630 0.0 nan 0.0 0.2501 0.0 0.0 0.8582 0.7381 0.9112 0.0 0.0 0.1560 0.0
0.6411 9.0 3600 0.5782 0.3001 0.3602 0.8450 nan 0.8407 0.9365 0.6861 0.7895 0.4828 0.0 0.5688 0.5980 0.0 0.9231 0.0 nan 0.0 0.0 0.4029 0.0 0.0 0.8744 0.0 0.5688 0.5442 0.0 nan 0.0 0.3323 0.0 0.0 0.9423 0.8588 0.9623 0.0 0.0 0.2144 0.0 nan 0.7472 0.8364 0.6280 0.7149 0.3246 0.0 0.4239 0.3428 0.0 0.7609 0.0 nan 0.0 0.0 0.3477 0.0 0.0 0.6867 0.0 0.4030 0.4632 0.0 nan 0.0 0.2531 0.0 0.0 0.8580 0.7279 0.9144 0.0 0.0 0.1700 0.0
0.2624 9.12 3650 0.5766 0.3008 0.3624 0.8455 nan 0.8574 0.9342 0.6988 0.7744 0.4983 0.0 0.5394 0.6314 0.0 0.9148 0.0 nan 0.0 0.0 0.4402 0.0 0.0 0.8562 0.0 0.5510 0.5560 0.0 nan 0.0 0.3273 0.0 0.0 0.9469 0.8694 0.9709 0.0 0.0 0.2311 0.0 nan 0.7491 0.8379 0.6241 0.7221 0.3229 0.0 0.4173 0.3273 0.0 0.7682 0.0 nan 0.0 0.0 0.3773 0.0 0.0 0.6890 0.0 0.4010 0.4651 0.0 nan 0.0 0.2490 0.0 0.0 0.8544 0.7306 0.9108 0.0 0.0 0.1799 0.0
0.5411 9.25 3700 0.5959 0.2991 0.3590 0.8420 nan 0.8243 0.9438 0.6836 0.7438 0.4344 0.0 0.5621 0.6202 0.0 0.9143 0.0 nan 0.0 0.0 0.4442 0.0 0.0 0.8901 0.0 0.5455 0.5510 0.0 nan 0.0 0.3440 0.0 0.0 0.9400 0.8591 0.9693 0.0 0.0 0.2192 0.0 nan 0.7328 0.8259 0.6144 0.7018 0.3058 0.0 0.4202 0.3204 0.0 0.7710 0.0 nan 0.0 0.0 0.3832 0.0 0.0 0.6900 0.0 0.4063 0.4782 0.0 nan 0.0 0.2535 0.0 0.0 0.8589 0.7253 0.9120 0.0 0.0 0.1724 0.0
0.4142 9.38 3750 0.5848 0.3006 0.3620 0.8433 nan 0.8309 0.9357 0.6855 0.7703 0.5115 0.0 0.5599 0.6165 0.0 0.9205 0.0 nan 0.0 0.0 0.4350 0.0 0.0 0.8814 0.0 0.5538 0.5682 0.0 nan 0.0 0.3382 0.0 0.0 0.9411 0.8575 0.9667 0.0 0.0 0.2110 0.0 nan 0.7370 0.8313 0.6229 0.7160 0.3284 0.0 0.4230 0.3381 0.0 0.7636 0.0 nan 0.0 0.0 0.3743 0.0 0.0 0.6905 0.0 0.4047 0.4693 0.0 nan 0.0 0.2534 0.0 0.0 0.8589 0.7273 0.9130 0.0 0.0 0.1678 0.0
0.1631 9.5 3800 0.5809 0.3004 0.3613 0.8442 nan 0.8349 0.9352 0.6964 0.7850 0.4969 0.0 0.5560 0.6125 0.0 0.9205 0.0 nan 0.0 0.0 0.4223 0.0 0.0 0.8734 0.0 0.5475 0.5597 0.0 nan 0.0 0.3284 0.0 0.0 0.9443 0.8656 0.9681 0.0 0.0 0.2162 0.0 nan 0.7388 0.8335 0.6233 0.7213 0.3269 0.0 0.4226 0.3368 0.0 0.7658 0.0 nan 0.0 0.0 0.3673 0.0 0.0 0.6888 0.0 0.4010 0.4662 0.0 nan 0.0 0.2488 0.0 0.0 0.8584 0.7272 0.9126 0.0 0.0 0.1724 0.0
0.2142 9.62 3850 0.5863 0.3005 0.3612 0.8431 nan 0.8182 0.9396 0.6847 0.7896 0.4772 0.0 0.5550 0.6190 0.0 0.9196 0.0 nan 0.0 0.0 0.4422 0.0 0.0 0.8868 0.0 0.5410 0.5606 0.0 nan 0.0 0.3348 0.0 0.0 0.9402 0.8630 0.9681 0.0 0.0 0.2181 0.0 nan 0.7320 0.8301 0.6246 0.7106 0.3221 0.0 0.4228 0.3343 0.0 0.7649 0.0 nan 0.0 0.0 0.3806 0.0 0.0 0.6901 0.0 0.4065 0.4717 0.0 nan 0.0 0.2530 0.0 0.0 0.8602 0.7283 0.9126 0.0 0.0 0.1703 0.0
0.3553 9.75 3900 0.5858 0.3001 0.3609 0.8427 nan 0.8141 0.9397 0.6925 0.7829 0.4822 0.0 0.5729 0.6157 0.0 0.9203 0.0 nan 0.0 0.0 0.4383 0.0 0.0 0.8819 0.0 0.5435 0.5580 0.0 nan 0.0 0.3288 0.0 0.0 0.9440 0.8589 0.9674 0.0 0.0 0.2090 0.0 nan 0.7311 0.8296 0.6192 0.7106 0.3215 0.0 0.4236 0.3390 0.0 0.7656 0.0 nan 0.0 0.0 0.3775 0.0 0.0 0.6901 0.0 0.4062 0.4686 0.0 nan 0.0 0.2500 0.0 0.0 0.8589 0.7322 0.9129 0.0 0.0 0.1658 0.0
0.2847 9.88 3950 0.5819 0.3003 0.3605 0.8437 nan 0.8261 0.9406 0.6928 0.7874 0.4766 0.0 0.5505 0.6122 0.0 0.9229 0.0 nan 0.0 0.0 0.4291 0.0 0.0 0.8708 0.0 0.5581 0.5595 0.0 nan 0.0 0.3340 0.0 0.0 0.9449 0.8500 0.9671 0.0 0.0 0.2120 0.0 nan 0.7365 0.8308 0.6246 0.7127 0.3233 0.0 0.4204 0.3362 0.0 0.7647 0.0 nan 0.0 0.0 0.3718 0.0 0.0 0.6897 0.0 0.4051 0.4663 0.0 nan 0.0 0.2519 0.0 0.0 0.8588 0.7346 0.9130 0.0 0.0 0.1681 0.0
0.4745 10.0 4000 0.5818 0.3011 0.3610 0.8444 nan 0.8364 0.9386 0.7005 0.7745 0.4695 0.0 0.5463 0.6230 0.0 0.9128 0.0 nan 0.0 0.0 0.4478 0.0 0.0 0.8809 0.0 0.5418 0.5574 0.0 nan 0.0 0.3278 0.0 0.0 0.9459 0.8600 0.9662 0.0 0.0 0.2230 0.0 nan 0.7395 0.8314 0.6251 0.7160 0.3216 0.0 0.4206 0.3351 0.0 0.7711 0.0 nan 0.0 0.0 0.3854 0.0 0.0 0.6893 0.0 0.4039 0.4696 0.0 nan 0.0 0.2496 0.0 0.0 0.8583 0.7294 0.9135 0.0 0.0 0.1745 0.0

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Model tree for JCAI2000/segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

Base model

nvidia/mit-b0
Finetuned
(300)
this model

Evaluation results

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