|
--- |
|
license: other |
|
base_model: nvidia/mit-b0 |
|
tags: |
|
- vision |
|
- image-segmentation |
|
- generated_from_trainer |
|
model-index: |
|
- name: segformer-b0-finetuned-segments-sidewalk-oct-22 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# segformer-b0-finetuned-segments-sidewalk-oct-22 |
|
|
|
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset. |
|
It achieves the following results on the evaluation set: |
|
- eval_loss: 0.7960 |
|
- eval_mean_iou: 0.2053 |
|
- eval_mean_accuracy: 0.2533 |
|
- eval_overall_accuracy: 0.7980 |
|
- eval_accuracy_unlabeled: nan |
|
- eval_accuracy_flat-road: 0.8959 |
|
- eval_accuracy_flat-sidewalk: 0.9420 |
|
- eval_accuracy_flat-crosswalk: 0.0 |
|
- eval_accuracy_flat-cyclinglane: 0.4535 |
|
- eval_accuracy_flat-parkingdriveway: 0.2273 |
|
- eval_accuracy_flat-railtrack: nan |
|
- eval_accuracy_flat-curb: 0.3520 |
|
- eval_accuracy_human-person: 0.0 |
|
- eval_accuracy_human-rider: 0.0 |
|
- eval_accuracy_vehicle-car: 0.9346 |
|
- eval_accuracy_vehicle-truck: 0.0 |
|
- eval_accuracy_vehicle-bus: 0.0 |
|
- eval_accuracy_vehicle-tramtrain: nan |
|
- eval_accuracy_vehicle-motorcycle: 0.0 |
|
- eval_accuracy_vehicle-bicycle: 0.0 |
|
- eval_accuracy_vehicle-caravan: 0.0 |
|
- eval_accuracy_vehicle-cartrailer: 0.0 |
|
- eval_accuracy_construction-building: 0.8792 |
|
- eval_accuracy_construction-door: 0.0 |
|
- eval_accuracy_construction-wall: 0.3746 |
|
- eval_accuracy_construction-fenceguardrail: 0.0 |
|
- eval_accuracy_construction-bridge: 0.0 |
|
- eval_accuracy_construction-tunnel: nan |
|
- eval_accuracy_construction-stairs: 0.0 |
|
- eval_accuracy_object-pole: 0.0065 |
|
- eval_accuracy_object-trafficsign: 0.0 |
|
- eval_accuracy_object-trafficlight: 0.0 |
|
- eval_accuracy_nature-vegetation: 0.9279 |
|
- eval_accuracy_nature-terrain: 0.8991 |
|
- eval_accuracy_sky: 0.9585 |
|
- eval_accuracy_void-ground: 0.0 |
|
- eval_accuracy_void-dynamic: 0.0 |
|
- eval_accuracy_void-static: 0.0014 |
|
- eval_accuracy_void-unclear: 0.0 |
|
- eval_iou_unlabeled: nan |
|
- eval_iou_flat-road: 0.6699 |
|
- eval_iou_flat-sidewalk: 0.7999 |
|
- eval_iou_flat-crosswalk: 0.0 |
|
- eval_iou_flat-cyclinglane: 0.4306 |
|
- eval_iou_flat-parkingdriveway: 0.1874 |
|
- eval_iou_flat-railtrack: nan |
|
- eval_iou_flat-curb: 0.2837 |
|
- eval_iou_human-person: 0.0 |
|
- eval_iou_human-rider: 0.0 |
|
- eval_iou_vehicle-car: 0.6757 |
|
- eval_iou_vehicle-truck: 0.0 |
|
- eval_iou_vehicle-bus: 0.0 |
|
- eval_iou_vehicle-tramtrain: nan |
|
- eval_iou_vehicle-motorcycle: 0.0 |
|
- eval_iou_vehicle-bicycle: 0.0 |
|
- eval_iou_vehicle-caravan: 0.0 |
|
- eval_iou_vehicle-cartrailer: 0.0 |
|
- eval_iou_construction-building: 0.6298 |
|
- eval_iou_construction-door: 0.0 |
|
- eval_iou_construction-wall: 0.2766 |
|
- eval_iou_construction-fenceguardrail: 0.0 |
|
- eval_iou_construction-bridge: 0.0 |
|
- eval_iou_construction-tunnel: nan |
|
- eval_iou_construction-stairs: 0.0 |
|
- eval_iou_object-pole: 0.0065 |
|
- eval_iou_object-trafficsign: 0.0 |
|
- eval_iou_object-trafficlight: 0.0 |
|
- eval_iou_nature-vegetation: 0.8333 |
|
- eval_iou_nature-terrain: 0.6916 |
|
- eval_iou_sky: 0.8777 |
|
- eval_iou_void-ground: 0.0 |
|
- eval_iou_void-dynamic: 0.0 |
|
- eval_iou_void-static: 0.0014 |
|
- eval_iou_void-unclear: 0.0 |
|
- eval_runtime: 34.3451 |
|
- eval_samples_per_second: 5.823 |
|
- eval_steps_per_second: 2.912 |
|
- epoch: 2.05 |
|
- step: 820 |
|
|
|
## 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: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 50 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|