|
--- |
|
license: other |
|
base_model: nvidia/mit-b0 |
|
tags: |
|
- image-segmentation |
|
- vision |
|
- generated_from_trainer |
|
model-index: |
|
- name: segformer-finetuned-fingertip-10-steps |
|
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-finetuned-fingertip-10-steps |
|
|
|
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: |
|
- Loss: 3.5204 |
|
- Mean Iou: 0.0132 |
|
- Mean Accuracy: 0.0688 |
|
- Overall Accuracy: 0.0956 |
|
- Accuracy Unlabeled: nan |
|
- Accuracy Flat-road: 0.0201 |
|
- Accuracy Flat-sidewalk: 0.1177 |
|
- Accuracy Flat-crosswalk: 0.0014 |
|
- Accuracy Flat-cyclinglane: 0.4426 |
|
- Accuracy Flat-parkingdriveway: 0.0021 |
|
- Accuracy Flat-railtrack: nan |
|
- Accuracy Flat-curb: 0.0008 |
|
- Accuracy Human-person: 0.0010 |
|
- Accuracy Human-rider: 0.0077 |
|
- Accuracy Vehicle-car: 0.1566 |
|
- Accuracy Vehicle-truck: 0.0040 |
|
- Accuracy Vehicle-bus: 0.0 |
|
- Accuracy Vehicle-tramtrain: nan |
|
- Accuracy Vehicle-motorcycle: 0.5317 |
|
- Accuracy Vehicle-bicycle: 0.0892 |
|
- Accuracy Vehicle-caravan: 0.0 |
|
- Accuracy Vehicle-cartrailer: nan |
|
- Accuracy Construction-building: 0.0578 |
|
- Accuracy Construction-door: 0.0682 |
|
- Accuracy Construction-wall: 0.0002 |
|
- Accuracy Construction-fenceguardrail: 0.0000 |
|
- Accuracy Construction-bridge: 0.0 |
|
- Accuracy Construction-tunnel: nan |
|
- Accuracy Construction-stairs: 0.0055 |
|
- Accuracy Object-pole: 0.0162 |
|
- Accuracy Object-trafficsign: 0.0 |
|
- Accuracy Object-trafficlight: 0.3811 |
|
- Accuracy Nature-vegetation: 0.0756 |
|
- Accuracy Nature-terrain: 0.0010 |
|
- Accuracy Sky: 0.0038 |
|
- Accuracy Void-ground: 0.0400 |
|
- Accuracy Void-dynamic: 0.0002 |
|
- Accuracy Void-static: 0.0386 |
|
- Accuracy Void-unclear: 0.0 |
|
- Iou Unlabeled: 0.0 |
|
- Iou Flat-road: 0.0193 |
|
- Iou Flat-sidewalk: 0.1141 |
|
- Iou Flat-crosswalk: 0.0013 |
|
- Iou Flat-cyclinglane: 0.0702 |
|
- Iou Flat-parkingdriveway: 0.0019 |
|
- Iou Flat-railtrack: 0.0 |
|
- Iou Flat-curb: 0.0007 |
|
- Iou Human-person: 0.0005 |
|
- Iou Human-rider: 0.0001 |
|
- Iou Vehicle-car: 0.1087 |
|
- Iou Vehicle-truck: 0.0003 |
|
- Iou Vehicle-bus: 0.0 |
|
- Iou Vehicle-tramtrain: 0.0 |
|
- Iou Vehicle-motorcycle: 0.0004 |
|
- Iou Vehicle-bicycle: 0.0085 |
|
- Iou Vehicle-caravan: 0.0 |
|
- Iou Vehicle-cartrailer: 0.0 |
|
- Iou Construction-building: 0.0413 |
|
- Iou Construction-door: 0.0067 |
|
- Iou Construction-wall: 0.0002 |
|
- Iou Construction-fenceguardrail: 0.0000 |
|
- Iou Construction-bridge: 0.0 |
|
- Iou Construction-tunnel: 0.0 |
|
- Iou Construction-stairs: 0.0021 |
|
- Iou Object-pole: 0.0036 |
|
- Iou Object-trafficsign: 0.0 |
|
- Iou Object-trafficlight: 0.0001 |
|
- Iou Nature-vegetation: 0.0663 |
|
- Iou Nature-terrain: 0.0009 |
|
- Iou Sky: 0.0038 |
|
- Iou Void-ground: 0.0049 |
|
- Iou Void-dynamic: 0.0000 |
|
- Iou Void-static: 0.0046 |
|
- Iou Void-unclear: 0.0 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 1337 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: polynomial |
|
- training_steps: 10 |
|
|
|
### Training results |
|
|
|
| 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:| |
|
| No log | 0.09 | 10 | 3.5204 | 0.0132 | 0.0688 | 0.0956 | nan | 0.0201 | 0.1177 | 0.0014 | 0.4426 | 0.0021 | nan | 0.0008 | 0.0010 | 0.0077 | 0.1566 | 0.0040 | 0.0 | nan | 0.5317 | 0.0892 | 0.0 | nan | 0.0578 | 0.0682 | 0.0002 | 0.0000 | 0.0 | nan | 0.0055 | 0.0162 | 0.0 | 0.3811 | 0.0756 | 0.0010 | 0.0038 | 0.0400 | 0.0002 | 0.0386 | 0.0 | 0.0 | 0.0193 | 0.1141 | 0.0013 | 0.0702 | 0.0019 | 0.0 | 0.0007 | 0.0005 | 0.0001 | 0.1087 | 0.0003 | 0.0 | 0.0 | 0.0004 | 0.0085 | 0.0 | 0.0 | 0.0413 | 0.0067 | 0.0002 | 0.0000 | 0.0 | 0.0 | 0.0021 | 0.0036 | 0.0 | 0.0001 | 0.0663 | 0.0009 | 0.0038 | 0.0049 | 0.0000 | 0.0046 | 0.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.1+cu118 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.15.0 |
|
|
