IrshadG's picture
End of training
b3e978c verified
metadata
license: other
base_model: nvidia/mit-b0
tags:
  - vision
  - image-segmentation
  - generated_from_trainer
model-index:
  - name: segformer-b0-finetuned-segments-sidewalk-123
    results: []

segformer-b0-finetuned-segments-sidewalk-123

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:

  • eval_loss: 0.5603
  • eval_mean_iou: 0.3194
  • eval_mean_accuracy: 0.3797
  • eval_overall_accuracy: 0.8649
  • eval_accuracy_unlabeled: nan
  • eval_accuracy_flat-road: 0.8652
  • eval_accuracy_flat-sidewalk: 0.9642
  • eval_accuracy_flat-crosswalk: 0.6083
  • eval_accuracy_flat-cyclinglane: 0.7173
  • eval_accuracy_flat-parkingdriveway: 0.5189
  • eval_accuracy_flat-railtrack: 0.0
  • eval_accuracy_flat-curb: 0.6089
  • eval_accuracy_human-person: 0.8421
  • eval_accuracy_human-rider: 0.0
  • eval_accuracy_vehicle-car: 0.9347
  • eval_accuracy_vehicle-truck: 0.0
  • eval_accuracy_vehicle-bus: 0.0
  • eval_accuracy_vehicle-tramtrain: 0.0
  • eval_accuracy_vehicle-motorcycle: 0.0
  • eval_accuracy_vehicle-bicycle: 0.7877
  • eval_accuracy_vehicle-caravan: 0.0
  • eval_accuracy_vehicle-cartrailer: 0.0
  • eval_accuracy_construction-building: 0.9288
  • eval_accuracy_construction-door: 0.0851
  • eval_accuracy_construction-wall: 0.4696
  • eval_accuracy_construction-fenceguardrail: 0.4756
  • eval_accuracy_construction-bridge: 0.0
  • eval_accuracy_construction-tunnel: nan
  • eval_accuracy_construction-stairs: 0.0047
  • eval_accuracy_object-pole: 0.3599
  • eval_accuracy_object-trafficsign: 0.0028
  • eval_accuracy_object-trafficlight: 0.0
  • eval_accuracy_nature-vegetation: 0.9419
  • eval_accuracy_nature-terrain: 0.8921
  • eval_accuracy_sky: 0.9773
  • eval_accuracy_void-ground: 0.0003
  • eval_accuracy_void-dynamic: 0.1852
  • eval_accuracy_void-static: 0.3603
  • eval_accuracy_void-unclear: 0.0
  • eval_iou_unlabeled: nan
  • eval_iou_flat-road: 0.7774
  • eval_iou_flat-sidewalk: 0.8659
  • eval_iou_flat-crosswalk: 0.4889
  • eval_iou_flat-cyclinglane: 0.6488
  • eval_iou_flat-parkingdriveway: 0.4072
  • eval_iou_flat-railtrack: 0.0
  • eval_iou_flat-curb: 0.4944
  • eval_iou_human-person: 0.6064
  • eval_iou_human-rider: 0.0
  • eval_iou_vehicle-car: 0.8283
  • eval_iou_vehicle-truck: 0.0
  • eval_iou_vehicle-bus: 0.0
  • eval_iou_vehicle-tramtrain: 0.0
  • eval_iou_vehicle-motorcycle: 0.0
  • eval_iou_vehicle-bicycle: 0.5105
  • eval_iou_vehicle-caravan: 0.0
  • eval_iou_vehicle-cartrailer: 0.0
  • eval_iou_construction-building: 0.7458
  • eval_iou_construction-door: 0.0760
  • eval_iou_construction-wall: 0.4006
  • eval_iou_construction-fenceguardrail: 0.3288
  • eval_iou_construction-bridge: 0.0
  • eval_iou_construction-tunnel: nan
  • eval_iou_construction-stairs: 0.0047
  • eval_iou_object-pole: 0.2789
  • eval_iou_object-trafficsign: 0.0027
  • eval_iou_object-trafficlight: 0.0
  • eval_iou_nature-vegetation: 0.8781
  • eval_iou_nature-terrain: 0.8170
  • eval_iou_sky: 0.9417
  • eval_iou_void-ground: 0.0002
  • eval_iou_void-dynamic: 0.1706
  • eval_iou_void-static: 0.2686
  • eval_iou_void-unclear: 0.0
  • eval_runtime: 246.8492
  • eval_samples_per_second: 0.81
  • eval_steps_per_second: 0.405
  • epoch: 15.45
  • step: 6180

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: 50

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.2.0+cpu
  • Datasets 2.14.6
  • Tokenizers 0.14.1