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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: microsoft/beit-base-finetuned-ade-640-640 |
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tags: |
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- image-segmentation |
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- vision |
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- generated_from_trainer |
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model-index: |
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- name: segformer-finetuned-sidewalk-10k-steps |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# segformer-finetuned-sidewalk-10k-steps |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7903 |
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- Mean Iou: 0.0583 |
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- Mean Accuracy: 0.1188 |
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- Overall Accuracy: 0.5138 |
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- Accuracy Unlabeled: nan |
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- Accuracy Flat-road: 0.3738 |
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- Accuracy Flat-sidewalk: 0.8070 |
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- Accuracy Flat-crosswalk: 0.2760 |
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- Accuracy Flat-cyclinglane: 0.0412 |
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- Accuracy Flat-parkingdriveway: 0.0002 |
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- Accuracy Flat-railtrack: nan |
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- Accuracy Flat-curb: 0.0013 |
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- Accuracy Human-person: 0.0073 |
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- Accuracy Human-rider: 0.0 |
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- Accuracy Vehicle-car: 0.9825 |
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- Accuracy Vehicle-truck: 0.0 |
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- Accuracy Vehicle-bus: 0.0 |
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- Accuracy Vehicle-tramtrain: nan |
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- Accuracy Vehicle-motorcycle: 0.0 |
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- Accuracy Vehicle-bicycle: 0.0 |
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- Accuracy Vehicle-caravan: 0.0 |
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- Accuracy Vehicle-cartrailer: 0.0 |
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- Accuracy Construction-building: 0.0098 |
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- Accuracy Construction-door: 0.1165 |
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- Accuracy Construction-wall: 0.0000 |
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- Accuracy Construction-fenceguardrail: 0.0 |
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- Accuracy Construction-bridge: 0.0 |
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- Accuracy Construction-tunnel: nan |
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- Accuracy Construction-stairs: 0.0659 |
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- Accuracy Object-pole: 0.0438 |
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- Accuracy Object-trafficsign: 0.0 |
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- Accuracy Object-trafficlight: 0.0 |
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- Accuracy Nature-vegetation: 0.9260 |
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- Accuracy Nature-terrain: 0.0287 |
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- Accuracy Sky: 0.0 |
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- Accuracy Void-ground: 0.0 |
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- Accuracy Void-dynamic: 0.0 |
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- Accuracy Void-static: 0.0036 |
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- Accuracy Void-unclear: 0.0 |
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- Iou Unlabeled: 0.0 |
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- Iou Flat-road: 0.2457 |
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- Iou Flat-sidewalk: 0.6862 |
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- Iou Flat-crosswalk: 0.0806 |
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- Iou Flat-cyclinglane: 0.0394 |
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- Iou Flat-parkingdriveway: 0.0001 |
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- Iou Flat-railtrack: 0.0 |
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- Iou Flat-curb: 0.0013 |
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- Iou Human-person: 0.0044 |
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- Iou Human-rider: 0.0 |
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- Iou Vehicle-car: 0.3160 |
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- Iou Vehicle-truck: 0.0 |
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- Iou Vehicle-bus: 0.0 |
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- Iou Vehicle-tramtrain: 0.0 |
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- Iou Vehicle-motorcycle: 0.0 |
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- Iou Vehicle-bicycle: 0.0 |
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- Iou Vehicle-caravan: 0.0 |
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- Iou Vehicle-cartrailer: 0.0 |
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- Iou Construction-building: 0.0096 |
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- Iou Construction-door: 0.0317 |
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- Iou Construction-wall: 0.0000 |
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- Iou Construction-fenceguardrail: 0.0 |
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- Iou Construction-bridge: 0.0 |
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- Iou Construction-tunnel: 0.0 |
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- Iou Construction-stairs: 0.0103 |
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- Iou Object-pole: 0.0226 |
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- Iou Object-trafficsign: 0.0 |
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- Iou Object-trafficlight: 0.0 |
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- Iou Nature-vegetation: 0.5656 |
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- Iou Nature-terrain: 0.0255 |
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- Iou Sky: 0.0 |
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- Iou Void-ground: 0.0 |
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- Iou Void-dynamic: 0.0 |
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- Iou Void-static: 0.0031 |
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- Iou Void-unclear: 0.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 1337 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: polynomial |
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- training_steps: 10 |
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### Training results |
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| 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 | 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 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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