---
license: other
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: parking-utcustom-train-SF-RGB-b0_5
  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. -->

# parking-utcustom-train-SF-RGB-b0_5

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the sam1120/parking-utcustom-train dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0414
- Mean Iou: 0.2695
- Mean Accuracy: 0.8085
- Overall Accuracy: 0.8085
- Accuracy Unlabeled: nan
- Accuracy Parking: nan
- Accuracy Unparking: 0.8085
- Iou Unlabeled: 0.0
- Iou Parking: 0.0
- Iou Unparking: 0.8085

## 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: 4.25e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 120

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Parking | Accuracy Unparking | Iou Unlabeled | Iou Parking | Iou Unparking |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:----------------:|:------------------:|:-------------:|:-----------:|:-------------:|
| 1.1636        | 20.0  | 20   | 1.1342          | 0.0522   | 0.1567        | 0.1567           | nan                | nan              | 0.1567             | 0.0           | 0.0         | 0.1567        |
| 0.9787        | 40.0  | 40   | 1.1195          | 0.2039   | 0.6116        | 0.6116           | nan                | nan              | 0.6116             | 0.0           | 0.0         | 0.6116        |
| 0.887         | 60.0  | 60   | 1.0823          | 0.2420   | 0.7259        | 0.7259           | nan                | nan              | 0.7259             | 0.0           | 0.0         | 0.7259        |
| 0.7959        | 80.0  | 80   | 0.9519          | 0.2693   | 0.8080        | 0.8080           | nan                | nan              | 0.8080             | 0.0           | 0.0         | 0.8080        |
| 0.7344        | 100.0 | 100  | 0.8902          | 0.2827   | 0.8481        | 0.8481           | nan                | nan              | 0.8481             | 0.0           | 0.0         | 0.8481        |
| 0.7391        | 120.0 | 120  | 1.0414          | 0.2695   | 0.8085        | 0.8085           | nan                | nan              | 0.8085             | 0.0           | 0.0         | 0.8085        |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3