Hugging Face's logo

Godouche
/
segformer-b0-finetuned-segments-sidewalk-2

Image Segmentation
Transformers
Safetensors
segformer
vision
Generated from Trainer
Model card Files Community

segformer-b0-finetuned-segments-sidewalk-2

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

  • Loss: 0.9318
  • Mean Iou: 0.1574
  • Mean Accuracy: 0.1994
  • Overall Accuracy: 0.7668
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8689
  • Accuracy Flat-sidewalk: 0.9484
  • Accuracy Flat-crosswalk: 0.0
  • Accuracy Flat-cyclinglane: 0.5015
  • Accuracy Flat-parkingdriveway: 0.0118
  • Accuracy Flat-railtrack: 0.0
  • Accuracy Flat-curb: 0.0
  • Accuracy Human-person: 0.0
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.8879
  • 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: 0.8895
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.0
  • Accuracy Construction-fenceguardrail: 0.0
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: 0.0
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.0
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9372
  • Accuracy Nature-terrain: 0.8070
  • Accuracy Sky: 0.9258
  • 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: 0.5983
  • Iou Flat-sidewalk: 0.7913
  • Iou Flat-crosswalk: 0.0
  • Iou Flat-cyclinglane: 0.4760
  • Iou Flat-parkingdriveway: 0.0117
  • Iou Flat-railtrack: 0.0
  • Iou Flat-curb: 0.0
  • Iou Human-person: 0.0
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.6842
  • 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: 0.5394
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.0
  • Iou Construction-fenceguardrail: 0.0
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: 0.0
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.0
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.7925
  • Iou Nature-terrain: 0.6357
  • 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
3.0121 0.05 20 3.2051 0.0715 0.1161 0.5499 nan 0.2271 0.8331 0.0 0.0034 0.0152 0.0 0.0 0.0 0.0 0.6998 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8031 0.0 0.0008 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9122 0.0579 0.3930 0.0 0.0 0.0000 0.0 0.0 0.1879 0.5784 0.0 0.0034 0.0132 0.0 0.0 0.0 0.0 0.4207 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2923 0.0 0.0008 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6196 0.0429 0.3425 0.0 0.0 0.0000 0.0
2.4574 0.1 40 2.3972 0.0898 0.1343 0.5989 nan 0.2409 0.9266 0.0 0.0002 0.0018 0.0 0.0 0.0 0.0 0.8717 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8243 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8739 0.3707 0.4554 0.0 0.0 0.0 0.0 nan 0.1989 0.5723 0.0 0.0002 0.0018 0.0 0.0 0.0 0.0 0.4603 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4150 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6861 0.2795 0.4398 0.0 0.0 0.0 0.0
2.2526 0.15 60 2.1035 0.1068 0.1532 0.6450 nan 0.5346 0.9003 0.0 0.0 0.0009 0.0 0.0 0.0 0.0 0.8713 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8382 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9055 0.4196 0.7392 0.0 0.0 0.0 0.0 nan 0.3832 0.6253 0.0 0.0 0.0009 0.0 0.0 0.0 0.0 0.4631 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4563 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7142 0.3137 0.6760 0.0 0.0 0.0 0.0
2.0063 0.2 80 1.9647 0.1103 0.1557 0.6617 nan 0.6366 0.9038 0.0 0.0004 0.0002 0.0 0.0 0.0 0.0 0.7976 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8720 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9323 0.3499 0.8013 0.0 0.0 0.0 0.0 nan 0.4323 0.6691 0.0 0.0004 0.0002 0.0 0.0 0.0 0.0 0.5189 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4518 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7048 0.2656 0.7066 0.0 0.0 0.0 0.0
1.8506 0.25 100 1.7593 0.1193 0.1664 0.6793 nan 0.7330 0.8892 0.0 0.0009 0.0 0.0 0.0 0.0 0.0 0.8503 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8105 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9473 0.5456 0.8795 0.0 0.0 0.0 0.0 nan 0.4502 0.6776 0.0 0.0009 0.0 0.0 0.0 0.0 0.0 0.5525 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4805 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7323 0.4208 0.7421 0.0 0.0 0.0 0.0
1.5607 0.3 120 1.6274 0.1239 0.1706 0.6869 nan 0.7258 0.8926 0.0 0.0207 0.0 0.0 0.0 0.0 0.0 0.8619 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8674 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9326 0.6165 0.8834 0.0 0.0 0.0 0.0 nan 0.4536 0.6895 0.0 0.0207 0.0 0.0 0.0 0.0 0.0 0.5639 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4743 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7454 0.4945 0.7712 0.0 0.0 0.0 0.0
1.306 0.35 140 1.5786 0.1247 0.1716 0.6887 nan 0.7598 0.8869 0.0 0.0086 0.0 0.0 0.0 0.0 0.0 0.8176 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8673 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9306 0.6645 0.8976 0.0 0.0 0.0 0.0 nan 0.4370 0.7152 0.0 0.0086 0.0 0.0 0.0 0.0 0.0 0.5606 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4595 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7578 0.5428 0.7580 0.0 0.0 0.0 0.0
1.575 0.4 160 1.5082 0.1288 0.1752 0.6996 nan 0.7417 0.9080 0.0 0.0709 0.0000 0.0 0.0 0.0 0.0 0.7931 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8809 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9249 0.7570 0.8812 0.0 0.0 0.0 0.0 nan 0.5026 0.6995 0.0 0.0708 0.0000 0.0 0.0 0.0 0.0 0.5966 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4679 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7603 0.4979 0.7831 0.0 0.0 0.0 0.0
1.6042 0.45 180 1.4727 0.1287 0.1787 0.6995 nan 0.8500 0.8738 0.0 0.0384 0.0000 0.0 0.0 0.0 0.0 0.8816 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8469 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9079 0.7637 0.9126 0.0 0.0 0.0 0.0 nan 0.4520 0.7393 0.0 0.0384 0.0000 0.0 0.0 0.0 0.0 0.5698 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4946 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7624 0.5407 0.7774 0.0 0.0 0.0 0.0
1.4266 0.5 200 1.3875 0.1306 0.1762 0.7031 nan 0.7264 0.9328 0.0 0.0343 0.0003 0.0 0.0 0.0 0.0 0.8636 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8814 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9016 0.7596 0.8893 0.0 0.0 0.0 0.0 nan 0.5032 0.6913 0.0 0.0343 0.0003 0.0 0.0 0.0 0.0 0.6075 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4831 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7766 0.5517 0.7924 0.0 0.0 0.0 0.0
2.1122 0.55 220 1.3270 0.1328 0.1805 0.7105 nan 0.8744 0.8741 0.0 0.1523 0.0000 0.0 0.0 0.0 0.0 0.8563 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7965 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9594 0.7025 0.9218 0.0 0.0 0.0 0.0 nan 0.4650 0.7567 0.0 0.1523 0.0000 0.0 0.0 0.0 0.0 0.6124 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5071 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7412 0.5084 0.7720 0.0 0.0 0.0 0.0
1.3171 0.6 240 1.2920 0.1391 0.1886 0.7254 nan 0.7889 0.9304 0.0 0.3131 0.0003 0.0 0.0 0.0 0.0 0.9044 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8646 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8537 0.8551 0.9024 0.0 0.0 0.0 0.0 nan 0.5584 0.7367 0.0 0.3089 0.0003 0.0 0.0 0.0 0.0 0.5828 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5003 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7534 0.5025 0.7871 0.0 0.0 0.0 0.0
1.7291 0.65 260 1.2315 0.1451 0.1894 0.7364 nan 0.8327 0.9268 0.0 0.3435 0.0000 0.0 0.0 0.0 0.0 0.8411 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8883 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9039 0.8075 0.8963 0.0 0.0 0.0 0.0 nan 0.5462 0.7501 0.0 0.3407 0.0000 0.0 0.0 0.0 0.0 0.6396 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4953 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7818 0.5866 0.7929 0.0 0.0 0.0 0.0
1.4373 0.7 280 1.1735 0.1435 0.1888 0.7379 nan 0.8262 0.9417 0.0 0.3482 0.0000 0.0 0.0 0.0 0.0 0.9282 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8520 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9055 0.7118 0.9042 0.0 0.0 0.0 0.0 nan 0.5570 0.7486 0.0 0.3453 0.0000 0.0 0.0 0.0 0.0 0.5719 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5217 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7796 0.5634 0.7926 0.0 0.0 0.0 0.0
1.3842 0.75 300 1.1702 0.1466 0.1923 0.7440 nan 0.8228 0.9429 0.0 0.4033 0.0003 0.0 0.0 0.0 0.0 0.8944 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8752 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8953 0.8006 0.9032 0.0 0.0 0.0 0.0 nan 0.5734 0.7599 0.0 0.3954 0.0003 0.0 0.0 0.0 0.0 0.6037 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5149 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7754 0.5717 0.7900 0.0 0.0 0.0 0.0
1.8302 0.8 320 1.1554 0.1474 0.1912 0.7443 nan 0.8402 0.9093 0.0 0.4951 0.0003 0.0 0.0 0.0 0.0 0.8403 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8897 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9543 0.6583 0.9150 0.0 0.0 0.0 0.0 nan 0.5629 0.7798 0.0 0.4551 0.0003 0.0 0.0 0.0 0.0 0.6264 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4946 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7540 0.5530 0.7861 0.0 0.0 0.0 0.0
1.0734 0.85 340 1.1194 0.1497 0.1952 0.7499 nan 0.8367 0.9363 0.0 0.4375 0.0002 0.0 0.0 0.0 0.0 0.8998 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8566 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9168 0.8314 0.9208 0.0 0.0 0.0 0.0 nan 0.5623 0.7669 0.0 0.4207 0.0002 0.0 0.0 0.0 0.0 0.6308 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5362 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7792 0.5933 0.7986 0.0 0.0 0.0 0.0
1.1957 0.9 360 1.1065 0.1488 0.1951 0.7433 nan 0.8849 0.8898 0.0 0.4485 0.0006 0.0 0.0 0.0 0.0 0.9043 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8774 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9276 0.7874 0.9128 0.0 0.0 0.0 0.0 nan 0.5175 0.7792 0.0 0.4225 0.0006 0.0 0.0 0.0 0.0 0.6156 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5221 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7878 0.6150 0.8002 0.0 0.0 0.0 0.0
1.0868 0.95 380 1.0887 0.1505 0.1912 0.7471 nan 0.7503 0.9557 0.0 0.4570 0.0006 0.0 0.0 0.0 0.0 0.8680 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9330 0.7527 0.8823 0.0 0.0 0.0 0.0 nan 0.5592 0.7452 0.0 0.4208 0.0006 0.0 0.0 0.0 0.0 0.6647 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5208 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7882 0.6068 0.8093 0.0 0.0 0.0 0.0
1.6125 1.0 400 1.0484 0.1512 0.1960 0.7522 nan 0.8825 0.9225 0.0 0.4567 0.0003 0.0 0.0 0.0 0.0 0.9052 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9259 0.7985 0.9192 0.0 0.0 0.0 0.0 nan 0.5386 0.7864 0.0 0.4375 0.0002 0.0 0.0 0.0 0.0 0.6381 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5396 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7843 0.6077 0.8088 0.0 0.0 0.0 0.0
1.3332 1.05 420 1.0294 0.1523 0.1942 0.7545 nan 0.8265 0.9434 0.0 0.4805 0.0010 0.0 0.0 0.0 0.0 0.8711 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8838 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9403 0.7424 0.9143 0.0 0.0 0.0 0.0 nan 0.5748 0.7724 0.0 0.4583 0.0010 0.0 0.0 0.0 0.0 0.6613 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5187 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7815 0.6039 0.8060 0.0 0.0 0.0 0.0
1.5885 1.1 440 1.0505 0.1499 0.1920 0.7495 nan 0.7691 0.9622 0.0 0.4316 0.0013 0.0 0.0 0.0 0.0 0.8800 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8616 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9372 0.7558 0.9277 0.0 0.0 0.0 0.0 nan 0.6003 0.7422 0.0 0.4224 0.0013 0.0 0.0 0.0 0.0 0.6559 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5292 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7671 0.5738 0.8056 0.0 0.0 0.0 0.0
1.1033 1.15 460 1.0482 0.1515 0.1969 0.7561 nan 0.8663 0.9229 0.0 0.5067 0.0023 0.0 0.0 0.0 0.0 0.9063 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8891 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9342 0.7461 0.9213 0.0 0.0 0.0 0.0 nan 0.5763 0.7942 0.0 0.4699 0.0023 0.0 0.0 0.0 0.0 0.6265 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5243 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7818 0.5704 0.8047 0.0 0.0 0.0 0.0
1.2376 1.2 480 0.9907 0.1534 0.1969 0.7586 nan 0.8626 0.9393 0.0 0.4765 0.0025 0.0 0.0 0.0 0.0 0.9009 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8797 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9293 0.7922 0.9122 0.0 0.0 0.0 0.0 nan 0.5706 0.7866 0.0 0.4577 0.0025 0.0 0.0 0.0 0.0 0.6607 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5378 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7847 0.6058 0.8099 0.0 0.0 0.0 0.0
1.0037 1.25 500 1.0006 0.1525 0.1966 0.7568 nan 0.8847 0.9340 0.0 0.4579 0.0030 0.0 0.0 0.0 0.0 0.8884 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8794 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9192 0.7929 0.9262 0.0 0.0 0.0 0.0 nan 0.5564 0.7956 0.0 0.4466 0.0030 0.0 0.0 0.0 0.0 0.6583 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5336 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7866 0.5935 0.8109 0.0 0.0 0.0 0.0
0.8961 1.3 520 0.9965 0.1544 0.1962 0.7588 nan 0.8673 0.9513 0.0 0.4645 0.0023 0.0 0.0 0.0 0.0 0.8450 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8991 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9055 0.8151 0.9210 0.0 0.0 0.0 0.0 nan 0.5845 0.7805 0.0 0.4501 0.0023 0.0 0.0 0.0 0.0 0.6823 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5185 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7941 0.6295 0.8089 0.0 0.0 0.0 0.0
1.2659 1.35 540 0.9665 0.1559 0.2002 0.7642 nan 0.8463 0.9409 0.0 0.5501 0.0044 0.0 0.0 0.0 0.0 0.8996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8849 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9281 0.8278 0.9255 0.0 0.0 0.0 0.0 nan 0.5940 0.7939 0.0 0.5013 0.0044 0.0 0.0 0.0 0.0 0.6566 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5310 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7871 0.6206 0.8107 0.0 0.0 0.0 0.0
1.0982 1.4 560 0.9850 0.1539 0.1970 0.7600 nan 0.8854 0.9320 0.0 0.4731 0.0035 0.0 0.0 0.0 0.0 0.8824 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8859 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9415 0.7702 0.9236 0.0 0.0 0.0 0.0 nan 0.5686 0.7967 0.0 0.4556 0.0035 0.0 0.0 0.0 0.0 0.6691 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5330 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7864 0.6114 0.8084 0.0 0.0 0.0 0.0
0.9199 1.45 580 0.9775 0.1562 0.1975 0.7638 nan 0.8526 0.9460 0.0 0.5063 0.0117 0.0 0.0 0.0 0.0 0.8880 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9058 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9427 0.7703 0.8906 0.0 0.0 0.0 0.0 nan 0.5977 0.7834 0.0 0.4762 0.0116 0.0 0.0 0.0 0.0 0.6786 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5343 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7931 0.6229 0.8139 0.0 0.0 0.0 0.0
1.18 1.5 600 0.9614 0.1566 0.1999 0.7651 nan 0.8643 0.9444 0.0 0.5169 0.0076 0.0 0.0 0.0 0.0 0.9066 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8853 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9254 0.8260 0.9211 0.0 0.0 0.0 0.0 nan 0.5910 0.7880 0.0 0.4789 0.0075 0.0 0.0 0.0 0.0 0.6639 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5430 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7985 0.6359 0.8160 0.0 0.0 0.0 0.0
1.0018 1.55 620 0.9561 0.1559 0.1999 0.7646 nan 0.8482 0.9371 0.0 0.5618 0.0125 0.0 0.0 0.0 0.0 0.9039 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8892 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9396 0.7710 0.9336 0.0 0.0 0.0 0.0 nan 0.5921 0.7961 0.0 0.4994 0.0124 0.0 0.0 0.0 0.0 0.6519 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5342 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7899 0.6146 0.8114 0.0 0.0 0.0 0.0
1.2407 1.6 640 0.9485 0.1569 0.1990 0.7655 nan 0.8720 0.9414 0.0 0.5204 0.0036 0.0 0.0 0.0 0.0 0.8939 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8930 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9382 0.7939 0.9093 0.0 0.0 0.0 0.0 nan 0.5839 0.7950 0.0 0.4856 0.0036 0.0 0.0 0.0 0.0 0.6771 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5381 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7942 0.6388 0.8179 0.0 0.0 0.0 0.0
1.9654 1.65 660 0.9485 0.1573 0.1998 0.7642 nan 0.8749 0.9361 0.0 0.5410 0.0040 0.0 0.0 0.0 0.0 0.8645 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9020 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9214 0.8284 0.9216 0.0 0.0 0.0 0.0 nan 0.5784 0.7939 0.0 0.4909 0.0039 0.0 0.0 0.0 0.0 0.6952 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5320 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7975 0.6365 0.8209 0.0 0.0 0.0 0.0
0.9202 1.7 680 0.9327 0.1570 0.1996 0.7649 nan 0.8746 0.9393 0.0 0.5136 0.0063 0.0 0.0 0.0 0.0 0.8742 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9291 0.8316 0.9163 0.0 0.0 0.0 0.0 nan 0.5860 0.7933 0.0 0.4807 0.0063 0.0 0.0 0.0 0.0 0.6877 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7966 0.6295 0.8220 0.0 0.0 0.0 0.0
1.5064 1.75 700 0.9305 0.1557 0.1987 0.7650 nan 0.8746 0.9420 0.0 0.5082 0.0044 0.0 0.0 0.0 0.0 0.9001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8607 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9499 0.7841 0.9311 0.0 0.0 0.0 0.0 nan 0.5905 0.7950 0.0 0.4787 0.0044 0.0 0.0 0.0 0.0 0.6616 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5482 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7777 0.6234 0.8155 0.0 0.0 0.0 0.0
0.9806 1.8 720 0.9289 0.1565 0.2001 0.7657 nan 0.8747 0.9412 0.0 0.5171 0.0063 0.0 0.0 0.0 0.0 0.8950 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8818 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9310 0.8209 0.9366 0.0 0.0 0.0 0.0 nan 0.5897 0.7943 0.0 0.4820 0.0063 0.0 0.0 0.0 0.0 0.6716 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5422 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7941 0.6275 0.8150 0.0 0.0 0.0 0.0
1.3995 1.85 740 0.9427 0.1569 0.1997 0.7655 nan 0.8686 0.9454 0.0 0.5040 0.0111 0.0 0.0 0.0 0.0 0.8918 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9074 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9210 0.8175 0.9246 0.0 0.0 0.0 0.0 nan 0.5975 0.7928 0.0 0.4749 0.0110 0.0 0.0 0.0 0.0 0.6760 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5285 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8008 0.6342 0.8179 0.0 0.0 0.0 0.0
0.8194 1.9 760 0.9331 0.1567 0.2001 0.7654 nan 0.8728 0.9448 0.0 0.4979 0.0122 0.0 0.0 0.0 0.0 0.8907 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9026 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9180 0.8365 0.9265 0.0 0.0 0.0 0.0 nan 0.5943 0.7930 0.0 0.4715 0.0121 0.0 0.0 0.0 0.0 0.6821 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5344 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7996 0.6210 0.8210 0.0 0.0 0.0 0.0
0.8659 1.95 780 0.9291 0.1571 0.1998 0.7669 nan 0.8656 0.9484 0.0 0.5035 0.0142 0.0 0.0 0.0 0.0 0.9017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8874 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9352 0.8104 0.9272 0.0 0.0 0.0 0.0 nan 0.6015 0.7913 0.0 0.4774 0.0140 0.0 0.0 0.0 0.0 0.6710 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5418 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7927 0.6314 0.8208 0.0 0.0 0.0 0.0
0.878 2.0 800 0.9318 0.1574 0.1994 0.7668 nan 0.8689 0.9484 0.0 0.5015 0.0118 0.0 0.0 0.0 0.0 0.8879 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8895 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9372 0.8070 0.9258 0.0 0.0 0.0 0.0 nan 0.5983 0.7913 0.0 0.4760 0.0117 0.0 0.0 0.0 0.0 0.6842 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5394 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7925 0.6357 0.8218 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.50.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1
Downloads last month
3
Safetensors
Model size
3.72M params
Tensor type
F32
·
Inference Providers NEW
Image Segmentation
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Evaluation results

Metadata error: specify a dataset to view leaderboard