--- library_name: transformers license: apache-2.0 base_model: microsoft/beit-base-finetuned-ade-640-640 tags: - image-segmentation - vision - generated_from_trainer model-index: - name: segformer-finetuned-sidewalk-10k-steps results: [] --- # segformer-finetuned-sidewalk-10k-steps This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set: - Loss: 3.7903 - Mean Iou: 0.0583 - Mean Accuracy: 0.1188 - Overall Accuracy: 0.5138 - Accuracy Unlabeled: nan - Accuracy Flat-road: 0.3738 - Accuracy Flat-sidewalk: 0.8070 - Accuracy Flat-crosswalk: 0.2760 - Accuracy Flat-cyclinglane: 0.0412 - Accuracy Flat-parkingdriveway: 0.0002 - Accuracy Flat-railtrack: nan - Accuracy Flat-curb: 0.0013 - Accuracy Human-person: 0.0073 - Accuracy Human-rider: 0.0 - Accuracy Vehicle-car: 0.9825 - 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: 0.0098 - Accuracy Construction-door: 0.1165 - Accuracy Construction-wall: 0.0000 - Accuracy Construction-fenceguardrail: 0.0 - Accuracy Construction-bridge: 0.0 - Accuracy Construction-tunnel: nan - Accuracy Construction-stairs: 0.0659 - Accuracy Object-pole: 0.0438 - Accuracy Object-trafficsign: 0.0 - Accuracy Object-trafficlight: 0.0 - Accuracy Nature-vegetation: 0.9260 - Accuracy Nature-terrain: 0.0287 - Accuracy Sky: 0.0 - Accuracy Void-ground: 0.0 - Accuracy Void-dynamic: 0.0 - Accuracy Void-static: 0.0036 - Accuracy Void-unclear: 0.0 - Iou Unlabeled: 0.0 - Iou Flat-road: 0.2457 - Iou Flat-sidewalk: 0.6862 - Iou Flat-crosswalk: 0.0806 - Iou Flat-cyclinglane: 0.0394 - Iou Flat-parkingdriveway: 0.0001 - Iou Flat-railtrack: 0.0 - Iou Flat-curb: 0.0013 - Iou Human-person: 0.0044 - Iou Human-rider: 0.0 - Iou Vehicle-car: 0.3160 - 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: 0.0096 - Iou Construction-door: 0.0317 - Iou Construction-wall: 0.0000 - Iou Construction-fenceguardrail: 0.0 - Iou Construction-bridge: 0.0 - Iou Construction-tunnel: 0.0 - Iou Construction-stairs: 0.0103 - Iou Object-pole: 0.0226 - Iou Object-trafficsign: 0.0 - Iou Object-trafficlight: 0.0 - Iou Nature-vegetation: 0.5656 - Iou Nature-terrain: 0.0255 - Iou Sky: 0.0 - Iou Void-ground: 0.0 - Iou Void-dynamic: 0.0 - Iou Void-static: 0.0031 - 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: 1337 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: polynomial - training_steps: 10 ### 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 | |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:| | No log | 0.0235 | 10 | 3.7903 | 0.0583 | 0.1188 | 0.5138 | nan | 0.3738 | 0.8070 | 0.2760 | 0.0412 | 0.0002 | nan | 0.0013 | 0.0073 | 0.0 | 0.9825 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0098 | 0.1165 | 0.0000 | 0.0 | 0.0 | nan | 0.0659 | 0.0438 | 0.0 | 0.0 | 0.9260 | 0.0287 | 0.0 | 0.0 | 0.0 | 0.0036 | 0.0 | 0.0 | 0.2457 | 0.6862 | 0.0806 | 0.0394 | 0.0001 | 0.0 | 0.0013 | 0.0044 | 0.0 | 0.3160 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0096 | 0.0317 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0103 | 0.0226 | 0.0 | 0.0 | 0.5656 | 0.0255 | 0.0 | 0.0 | 0.0 | 0.0031 | 0.0 | ### Framework versions - Transformers 4.47.0.dev0 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.3