readme: ---
  license: apache-2.0
  tags:
  - image-segmentation
  - vision
  - generated_from_trainer
  model-index:
  - name: segformer-finetuned-sidewalk-50-epochs
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # segformer-finetuned-sidewalk-50-epochs
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6350
  - Mean Iou: 0.3022
  - Mean Accuracy: 0.3724
  - Overall Accuracy: 0.8117
  - Accuracy Unlabeled: nan
  - Accuracy Flat-road: 0.8240
  - Accuracy Flat-sidewalk: 0.8308
  - Accuracy Flat-crosswalk: 0.7789
  - Accuracy Flat-cyclinglane: 0.9052
  - Accuracy Flat-parkingdriveway: 0.3152
  - Accuracy Flat-railtrack: nan
  - Accuracy Flat-curb: 0.4703
  - Accuracy Human-person: 0.6444
  - Accuracy Human-rider: 0.0
  - Accuracy Vehicle-car: 0.9424
  - Accuracy Vehicle-truck: 0.0
  - Accuracy Vehicle-bus: 0.0
  - Accuracy Vehicle-tramtrain: 0.0
  - Accuracy Vehicle-motorcycle: 0.0
  - Accuracy Vehicle-bicycle: 0.7116
  - Accuracy Vehicle-caravan: 0.0
  - Accuracy Vehicle-cartrailer: 0.0
  - Accuracy Construction-building: 0.8716
  - Accuracy Construction-door: 0.0
  - Accuracy Construction-wall: 0.4736
  - Accuracy Construction-fenceguardrail: 0.5408
  - Accuracy Construction-bridge: 0.0
  - Accuracy Construction-tunnel: nan
  - Accuracy Construction-stairs: 0.0048
  - Accuracy Object-pole: 0.4202
  - Accuracy Object-trafficsign: 0.0754
  - Accuracy Object-trafficlight: 0.0
  - Accuracy Nature-vegetation: 0.9437
  - Accuracy Nature-terrain: 0.8196
  - Accuracy Sky: 0.9525
  - Accuracy Void-ground: 0.0
  - Accuracy Void-dynamic: 0.1041
  - Accuracy Void-static: 0.2872
  - Accuracy Void-unclear: 0.0
  - Iou Unlabeled: nan
  - Iou Flat-road: 0.7413
  - Iou Flat-sidewalk: 0.7520
  - Iou Flat-crosswalk: 0.7629
  - Iou Flat-cyclinglane: 0.4453
  - Iou Flat-parkingdriveway: 0.2976
  - Iou Flat-railtrack: nan
  - Iou Flat-curb: 0.3701
  - Iou Human-person: 0.4953
  - Iou Human-rider: 0.0
  - Iou Vehicle-car: 0.7962
  - Iou Vehicle-truck: 0.0
  - Iou Vehicle-bus: 0.0
  - Iou Vehicle-tramtrain: 0.0
  - Iou Vehicle-motorcycle: 0.0
  - Iou Vehicle-bicycle: 0.4152
  - Iou Vehicle-caravan: 0.0
  - Iou Vehicle-cartrailer: 0.0
  - Iou Construction-building: 0.6712
  - Iou Construction-door: 0.0
  - Iou Construction-wall: 0.3749
  - Iou Construction-fenceguardrail: 0.4613
  - Iou Construction-bridge: 0.0
  - Iou Construction-tunnel: nan
  - Iou Construction-stairs: 0.0048
  - Iou Object-pole: 0.2337
  - Iou Object-trafficsign: 0.0753
  - Iou Object-trafficlight: 0.0
  - Iou Nature-vegetation: 0.8324
  - Iou Nature-terrain: 0.7277
  - Iou Sky: 0.9234
  - Iou Void-ground: 0.0
  - Iou Void-dynamic: 0.0913
  - Iou Void-static: 0.1997
  - 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: polynomial
  - training_steps: 10000
  
  ### 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