metadata
license: apache-2.0
tags:
- image-segmentation
- vision
- generated_from_trainer
model-index:
- name: segformer-finetuned-sidewalk-50-epochs
results: []
segformer-finetuned-sidewalk-50-epochs
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: 0.7794
- Mean Iou: 0.2323
- Mean Accuracy: 0.2967
- Overall Accuracy: 0.7880
- Accuracy Unlabeled: nan
- Accuracy Flat-road: 0.7710
- Accuracy Flat-sidewalk: 0.9216
- Accuracy Flat-crosswalk: 0.2824
- Accuracy Flat-cyclinglane: 0.7632
- Accuracy Flat-parkingdriveway: 0.2202
- Accuracy Flat-railtrack: nan
- Accuracy Flat-curb: 0.5054
- Accuracy Human-person: 0.5200
- Accuracy Human-rider: 0.0
- Accuracy Vehicle-car: 0.9194
- Accuracy Vehicle-truck: 0.0
- Accuracy Vehicle-bus: 0.0
- Accuracy Vehicle-tramtrain: nan
- Accuracy Vehicle-motorcycle: 0.0
- Accuracy Vehicle-bicycle: 0.0
- Accuracy Vehicle-caravan: 0.0
- Accuracy Vehicle-cartrailer: 0.0
- Accuracy Construction-building: 0.8614
- Accuracy Construction-door: 0.0
- Accuracy Construction-wall: 0.4325
- Accuracy Construction-fenceguardrail: 0.0652
- Accuracy Construction-bridge: 0.0
- Accuracy Construction-tunnel: nan
- Accuracy Construction-stairs: 0.0
- Accuracy Object-pole: 0.2563
- Accuracy Object-trafficsign: 0.0
- Accuracy Object-trafficlight: 0.0
- Accuracy Nature-vegetation: 0.9089
- Accuracy Nature-terrain: 0.8215
- Accuracy Sky: 0.8732
- Accuracy Void-ground: 0.0
- Accuracy Void-dynamic: 0.0
- Accuracy Void-static: 0.0739
- Accuracy Void-unclear: 0.0
- Iou Unlabeled: nan
- Iou Flat-road: 0.5975
- Iou Flat-sidewalk: 0.8299
- Iou Flat-crosswalk: 0.2624
- Iou Flat-cyclinglane: 0.5689
- Iou Flat-parkingdriveway: 0.1733
- Iou Flat-railtrack: nan
- Iou Flat-curb: 0.3084
- Iou Human-person: 0.3708
- Iou Human-rider: 0.0
- Iou Vehicle-car: 0.6164
- Iou Vehicle-truck: 0.0
- Iou Vehicle-bus: 0.0
- Iou Vehicle-tramtrain: nan
- Iou Vehicle-motorcycle: 0.0
- Iou Vehicle-bicycle: 0.0
- Iou Vehicle-caravan: 0.0
- Iou Vehicle-cartrailer: 0.0
- Iou Construction-building: 0.6305
- Iou Construction-door: 0.0
- Iou Construction-wall: 0.3016
- Iou Construction-fenceguardrail: 0.0580
- Iou Construction-bridge: 0.0
- Iou Construction-tunnel: nan
- Iou Construction-stairs: 0.0
- Iou Object-pole: 0.1310
- Iou Object-trafficsign: 0.0
- Iou Object-trafficlight: 0.0
- Iou Nature-vegetation: 0.7954
- Iou Nature-terrain: 0.6628
- Iou Sky: 0.8233
- Iou Void-ground: 0.0
- Iou Void-dynamic: 0.0
- Iou Void-static: 0.0705
- 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: 5e-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: linear
- num_epochs: 50.0
Training results
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6