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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-oct-22 |
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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-oct-22 |
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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: 1.5643 |
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- eval_mean_iou: 0.1299 |
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- eval_mean_accuracy: 0.1767 |
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- eval_overall_accuracy: 0.7026 |
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- eval_accuracy_unlabeled: nan |
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- eval_accuracy_flat-road: 0.7260 |
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- eval_accuracy_flat-sidewalk: 0.9208 |
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- eval_accuracy_flat-crosswalk: 0.0 |
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- eval_accuracy_flat-cyclinglane: 0.0097 |
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- eval_accuracy_flat-parkingdriveway: 0.0001 |
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- eval_accuracy_flat-railtrack: nan |
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- eval_accuracy_flat-curb: 0.0009 |
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- eval_accuracy_human-person: 0.0 |
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- eval_accuracy_human-rider: 0.0 |
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- eval_accuracy_vehicle-car: 0.9031 |
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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: 0.0 |
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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: 0.8461 |
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- eval_accuracy_construction-door: 0.0 |
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- eval_accuracy_construction-wall: 0.0022 |
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- eval_accuracy_construction-fenceguardrail: 0.0 |
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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: 0.0 |
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- eval_accuracy_object-pole: 0.0 |
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- eval_accuracy_object-trafficsign: 0.0 |
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- eval_accuracy_object-trafficlight: 0.0 |
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- eval_accuracy_nature-vegetation: 0.9200 |
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- eval_accuracy_nature-terrain: 0.4607 |
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- eval_accuracy_sky: 0.8653 |
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- eval_accuracy_void-ground: 0.0 |
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- eval_accuracy_void-dynamic: 0.0 |
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- eval_accuracy_void-static: 0.0 |
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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: 0.4423 |
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- eval_iou_flat-sidewalk: 0.7322 |
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- eval_iou_flat-crosswalk: 0.0 |
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- eval_iou_flat-cyclinglane: 0.0097 |
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- eval_iou_flat-parkingdriveway: 0.0001 |
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- eval_iou_flat-railtrack: nan |
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- eval_iou_flat-curb: 0.0009 |
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- eval_iou_human-person: 0.0 |
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- eval_iou_human-rider: 0.0 |
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- eval_iou_vehicle-car: 0.5959 |
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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: 0.0 |
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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: 0.5061 |
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- eval_iou_construction-door: 0.0 |
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- eval_iou_construction-wall: 0.0022 |
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- eval_iou_construction-fenceguardrail: 0.0 |
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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: 0.0 |
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- eval_iou_object-pole: 0.0 |
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- eval_iou_object-trafficsign: 0.0 |
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- eval_iou_object-trafficlight: 0.0 |
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- eval_iou_nature-vegetation: 0.7073 |
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- eval_iou_nature-terrain: 0.4064 |
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- eval_iou_sky: 0.7528 |
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- eval_iou_void-ground: 0.0 |
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- eval_iou_void-dynamic: 0.0 |
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- eval_iou_void-static: 0.0 |
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- eval_iou_void-unclear: 0.0 |
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- eval_runtime: 34.9281 |
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- eval_samples_per_second: 5.726 |
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- eval_steps_per_second: 2.863 |
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- epoch: 0.1 |
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- step: 40 |
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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 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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