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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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- vision |
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- image-segmentation |
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- generated_from_trainer |
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model-index: |
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- name: segformer-b0-finetuned-segments-sidewalk-123 |
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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-b0-finetuned-segments-sidewalk-123 |
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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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- eval_loss: 0.5603 |
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- eval_mean_iou: 0.3194 |
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- eval_mean_accuracy: 0.3797 |
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- eval_overall_accuracy: 0.8649 |
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- eval_accuracy_unlabeled: nan |
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- eval_accuracy_flat-road: 0.8652 |
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- eval_accuracy_flat-sidewalk: 0.9642 |
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- eval_accuracy_flat-crosswalk: 0.6083 |
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- eval_accuracy_flat-cyclinglane: 0.7173 |
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- eval_accuracy_flat-parkingdriveway: 0.5189 |
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- eval_accuracy_flat-railtrack: 0.0 |
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- eval_accuracy_flat-curb: 0.6089 |
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- eval_accuracy_human-person: 0.8421 |
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- eval_accuracy_human-rider: 0.0 |
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- eval_accuracy_vehicle-car: 0.9347 |
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- eval_accuracy_vehicle-truck: 0.0 |
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- eval_accuracy_vehicle-bus: 0.0 |
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- eval_accuracy_vehicle-tramtrain: 0.0 |
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- eval_accuracy_vehicle-motorcycle: 0.0 |
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- eval_accuracy_vehicle-bicycle: 0.7877 |
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- eval_accuracy_vehicle-caravan: 0.0 |
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- eval_accuracy_vehicle-cartrailer: 0.0 |
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- eval_accuracy_construction-building: 0.9288 |
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- eval_accuracy_construction-door: 0.0851 |
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- eval_accuracy_construction-wall: 0.4696 |
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- eval_accuracy_construction-fenceguardrail: 0.4756 |
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- eval_accuracy_construction-bridge: 0.0 |
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- eval_accuracy_construction-tunnel: nan |
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- eval_accuracy_construction-stairs: 0.0047 |
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- eval_accuracy_object-pole: 0.3599 |
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- eval_accuracy_object-trafficsign: 0.0028 |
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- eval_accuracy_object-trafficlight: 0.0 |
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- eval_accuracy_nature-vegetation: 0.9419 |
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- eval_accuracy_nature-terrain: 0.8921 |
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- eval_accuracy_sky: 0.9773 |
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- eval_accuracy_void-ground: 0.0003 |
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- eval_accuracy_void-dynamic: 0.1852 |
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- eval_accuracy_void-static: 0.3603 |
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- eval_accuracy_void-unclear: 0.0 |
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- eval_iou_unlabeled: nan |
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- eval_iou_flat-road: 0.7774 |
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- eval_iou_flat-sidewalk: 0.8659 |
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- eval_iou_flat-crosswalk: 0.4889 |
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- eval_iou_flat-cyclinglane: 0.6488 |
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- eval_iou_flat-parkingdriveway: 0.4072 |
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- eval_iou_flat-railtrack: 0.0 |
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- eval_iou_flat-curb: 0.4944 |
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- eval_iou_human-person: 0.6064 |
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- eval_iou_human-rider: 0.0 |
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- eval_iou_vehicle-car: 0.8283 |
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- eval_iou_vehicle-truck: 0.0 |
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- eval_iou_vehicle-bus: 0.0 |
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- eval_iou_vehicle-tramtrain: 0.0 |
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- eval_iou_vehicle-motorcycle: 0.0 |
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- eval_iou_vehicle-bicycle: 0.5105 |
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- eval_iou_vehicle-caravan: 0.0 |
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- eval_iou_vehicle-cartrailer: 0.0 |
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- eval_iou_construction-building: 0.7458 |
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- eval_iou_construction-door: 0.0760 |
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- eval_iou_construction-wall: 0.4006 |
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- eval_iou_construction-fenceguardrail: 0.3288 |
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- eval_iou_construction-bridge: 0.0 |
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- eval_iou_construction-tunnel: nan |
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- eval_iou_construction-stairs: 0.0047 |
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- eval_iou_object-pole: 0.2789 |
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- eval_iou_object-trafficsign: 0.0027 |
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- eval_iou_object-trafficlight: 0.0 |
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- eval_iou_nature-vegetation: 0.8781 |
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- eval_iou_nature-terrain: 0.8170 |
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- eval_iou_sky: 0.9417 |
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- eval_iou_void-ground: 0.0002 |
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- eval_iou_void-dynamic: 0.1706 |
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- eval_iou_void-static: 0.2686 |
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- eval_iou_void-unclear: 0.0 |
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- eval_runtime: 246.8492 |
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- eval_samples_per_second: 0.81 |
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- eval_steps_per_second: 0.405 |
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- epoch: 15.45 |
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- step: 6180 |
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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: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.2.0+cpu |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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