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--- |
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license: other |
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base_model: nvidia/mit-b0 |
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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 [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3528 |
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- Mean Iou: 0.0705 |
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- Mean Accuracy: 0.1115 |
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- Overall Accuracy: 0.5632 |
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- Accuracy Unlabeled: nan |
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- Accuracy Flat-road: 0.5861 |
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- Accuracy Flat-sidewalk: 0.8653 |
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- Accuracy Flat-crosswalk: 0.0 |
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- Accuracy Flat-cyclinglane: 0.0136 |
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- Accuracy Flat-parkingdriveway: 0.0078 |
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- Accuracy Flat-railtrack: 0.0 |
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- Accuracy Flat-curb: 0.0 |
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- Accuracy Human-person: 0.0 |
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- Accuracy Human-rider: 0.0 |
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- Accuracy Vehicle-car: 0.0737 |
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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: 0.0 |
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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: 0.9444 |
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- Accuracy Construction-door: 0.0 |
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- Accuracy Construction-wall: 0.0012 |
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- Accuracy Construction-fenceguardrail: 0.0000 |
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- Accuracy Construction-bridge: 0.0 |
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- Accuracy Construction-tunnel: nan |
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- Accuracy Construction-stairs: 0.0 |
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- Accuracy Object-pole: 0.0 |
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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: 0.8841 |
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- Accuracy Nature-terrain: 0.2830 |
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- Accuracy Sky: 0.0216 |
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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: 0.0 |
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- Accuracy Void-unclear: 0.0 |
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- Iou Unlabeled: nan |
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- Iou Flat-road: 0.3993 |
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- Iou Flat-sidewalk: 0.6672 |
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- Iou Flat-crosswalk: 0.0 |
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- Iou Flat-cyclinglane: 0.0135 |
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- Iou Flat-parkingdriveway: 0.0076 |
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- Iou Flat-railtrack: 0.0 |
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- Iou Flat-curb: 0.0 |
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- Iou Human-person: 0.0 |
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- Iou Human-rider: 0.0 |
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- Iou Vehicle-car: 0.0712 |
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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: 0.2455 |
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- Iou Construction-door: 0.0 |
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- Iou Construction-wall: 0.0011 |
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- Iou Construction-fenceguardrail: 0.0000 |
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- Iou Construction-bridge: 0.0 |
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- Iou Construction-tunnel: nan |
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- Iou Construction-stairs: 0.0 |
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- Iou Object-pole: 0.0 |
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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: 0.6484 |
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- Iou Nature-terrain: 0.2515 |
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- Iou Sky: 0.0216 |
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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: 0.0 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- training_steps: 100 |
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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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| 2.8114 | 0.93 | 100 | 2.3528 | 0.0705 | 0.1115 | 0.5632 | nan | 0.5861 | 0.8653 | 0.0 | 0.0136 | 0.0078 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0737 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9444 | 0.0 | 0.0012 | 0.0000 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.8841 | 0.2830 | 0.0216 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.3993 | 0.6672 | 0.0 | 0.0135 | 0.0076 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0712 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2455 | 0.0 | 0.0011 | 0.0000 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.6484 | 0.2515 | 0.0216 | 0.0 | 0.0 | 0.0 | 0.0 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.0+cpu |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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