--- license: other base_model: nvidia/mit-b0 tags: - vision - image-segmentation - generated_from_trainer model-index: - name: segformer-b0-finetuned-segments-sidewalk-oct-22 results: [] --- # segformer-b0-finetuned-segments-sidewalk-oct-22 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: 0.7818 - Mean Iou: 0.1872 - Mean Accuracy: 0.2343 - Overall Accuracy: 0.7917 - Accuracy Unlabeled: nan - Accuracy Flat-road: 0.8716 - Accuracy Flat-sidewalk: 0.9457 - Accuracy Flat-crosswalk: 0.0 - Accuracy Flat-cyclinglane: 0.6578 - Accuracy Flat-parkingdriveway: 0.2561 - Accuracy Flat-railtrack: nan - Accuracy Flat-curb: 0.2287 - Accuracy Human-person: 0.0 - Accuracy Human-rider: 0.0 - Accuracy Vehicle-car: 0.9059 - 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: 0.8667 - Accuracy Construction-door: 0.0 - Accuracy Construction-wall: 0.0198 - Accuracy Construction-fenceguardrail: 0.0 - Accuracy Construction-bridge: 0.0 - Accuracy Construction-tunnel: nan - Accuracy Construction-stairs: 0.0 - Accuracy Object-pole: 0.0002 - Accuracy Object-trafficsign: 0.0 - Accuracy Object-trafficlight: 0.0 - Accuracy Nature-vegetation: 0.9476 - Accuracy Nature-terrain: 0.8466 - Accuracy Sky: 0.9510 - Accuracy Void-ground: 0.0 - Accuracy Void-dynamic: 0.0 - Accuracy Void-static: 0.0001 - Accuracy Void-unclear: 0.0 - Iou Unlabeled: nan - Iou Flat-road: 0.6267 - Iou Flat-sidewalk: 0.8545 - Iou Flat-crosswalk: 0.0 - Iou Flat-cyclinglane: 0.5807 - Iou Flat-parkingdriveway: 0.2032 - Iou Flat-railtrack: nan - Iou Flat-curb: 0.1902 - Iou Human-person: 0.0 - Iou Human-rider: 0.0 - Iou Vehicle-car: 0.6625 - 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: 0.5368 - Iou Construction-door: 0.0 - Iou Construction-wall: 0.0195 - Iou Construction-fenceguardrail: 0.0 - Iou Construction-bridge: 0.0 - Iou Construction-tunnel: nan - Iou Construction-stairs: 0.0 - Iou Object-pole: 0.0002 - Iou Object-trafficsign: 0.0 - Iou Object-trafficlight: 0.0 - Iou Nature-vegetation: 0.7879 - Iou Nature-terrain: 0.6502 - Iou Sky: 0.8781 - Iou Void-ground: 0.0 - Iou Void-dynamic: 0.0 - Iou Void-static: 0.0001 - 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: 3 ### 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 | 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| No log | 1.0 | 400 | 1.0489 | 0.1563 | 0.2092 | 0.7462 | nan | 0.7727 | 0.9457 | 0.0 | 0.5203 | 0.0416 | nan | 0.0011 | 0.0 | 0.0 | 0.8995 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7747 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.8911 | 0.9117 | 0.9374 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5549 | 0.7865 | 0.0 | 0.4480 | 0.0400 | nan | 0.0011 | 0.0 | 0.0 | 0.5695 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5072 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7359 | 0.5246 | 0.8336 | 0.0 | 0.0 | 0.0 | 0.0 | | 1.4244 | 2.0 | 800 | 0.8409 | 0.1794 | 0.2249 | 0.7813 | nan | 0.8638 | 0.9504 | 0.0 | 0.5945 | 0.1981 | nan | 0.1027 | 0.0 | 0.0 | 0.8937 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8568 | 0.0 | 0.0085 | 0.0 | 0.0 | nan | 0.0 | 0.0000 | 0.0 | 0.0 | 0.9426 | 0.8503 | 0.9368 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6014 | 0.8353 | 0.0 | 0.5403 | 0.1665 | nan | 0.0927 | 0.0 | 0.0 | 0.6676 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5350 | 0.0 | 0.0085 | 0.0 | 0.0 | nan | 0.0 | 0.0000 | 0.0 | 0.0 | 0.7710 | 0.6442 | 0.8776 | 0.0 | 0.0 | 0.0 | 0.0 | | 1.4244 | 3.0 | 1200 | 0.7818 | 0.1872 | 0.2343 | 0.7917 | nan | 0.8716 | 0.9457 | 0.0 | 0.6578 | 0.2561 | nan | 0.2287 | 0.0 | 0.0 | 0.9059 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8667 | 0.0 | 0.0198 | 0.0 | 0.0 | nan | 0.0 | 0.0002 | 0.0 | 0.0 | 0.9476 | 0.8466 | 0.9510 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.6267 | 0.8545 | 0.0 | 0.5807 | 0.2032 | nan | 0.1902 | 0.0 | 0.0 | 0.6625 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5368 | 0.0 | 0.0195 | 0.0 | 0.0 | nan | 0.0 | 0.0002 | 0.0 | 0.0 | 0.7879 | 0.6502 | 0.8781 | 0.0 | 0.0 | 0.0001 | 0.0 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1