transformers pytorch tensorboard segformer vision image-segmentation generated_from_trainer license:other endpoints_compatible region:us
---
license: other
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: parking-utcustom-train-SF-RGB-b0_3
  results: []
---

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# parking-utcustom-train-SF-RGB-b0_3

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: 0.6640
- Mean Iou: 0.3046
- Mean Accuracy: 0.9138
- Overall Accuracy: 0.9138
- Accuracy Unlabeled: nan
- Accuracy Parking: nan
- Accuracy Unparking: 0.9138
- Iou Unlabeled: 0.0
- Iou Parking: 0.0
- Iou Unparking: 0.9138

## 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: 3.5e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:----------------:|:------------------:|:-------------:|:-----------:|:-------------:|
| 1.0744        | 20.0  | 20   | 1.0527          | 0.2035   | 0.6104        | 0.6104           | nan                | nan              | 0.6104             | 0.0           | 0.0         | 0.6104        |
| 0.898         | 40.0  | 40   | 0.9525          | 0.2756   | 0.8267        | 0.8267           | nan                | nan              | 0.8267             | 0.0           | 0.0         | 0.8267        |
| 0.7959        | 60.0  | 60   | 0.8295          | 0.2804   | 0.8413        | 0.8413           | nan                | nan              | 0.8413             | 0.0           | 0.0         | 0.8413        |
| 0.7014        | 80.0  | 80   | 0.7152          | 0.3014   | 0.9041        | 0.9041           | nan                | nan              | 0.9041             | 0.0           | 0.0         | 0.9041        |
| 0.6723        | 100.0 | 100  | 0.6346          | 0.3125   | 0.9374        | 0.9374           | nan                | nan              | 0.9374             | 0.0           | 0.0         | 0.9374        |
| 0.6464        | 120.0 | 120  | 0.6640          | 0.3046   | 0.9138        | 0.9138           | nan                | nan              | 0.9138             | 0.0           | 0.0         | 0.9138        |


### Framework versions

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