---
license: other
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-DeepCrack
  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-DeepCrack

This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0121
- Mean Iou: 0.0096
- Mean Accuracy: 0.0192
- Overall Accuracy: 0.0192
- Accuracy Background: nan
- Accuracy Cracked: 0.0192
- Iou Background: 0.0
- Iou Cracked: 0.0192

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
| 0.2068        | 0.13  | 20   | 0.1942          | 0.0041   | 0.0082        | 0.0082           | nan                 | 0.0082           | 0.0            | 0.0082      |
| 0.0778        | 0.27  | 40   | 0.0679          | 0.0306   | 0.0612        | 0.0612           | nan                 | 0.0612           | 0.0            | 0.0612      |
| 0.0325        | 0.4   | 60   | 0.0328          | 0.0167   | 0.0334        | 0.0334           | nan                 | 0.0334           | 0.0            | 0.0334      |
| 0.0203        | 0.53  | 80   | 0.0191          | 0.0074   | 0.0148        | 0.0148           | nan                 | 0.0148           | 0.0            | 0.0148      |
| 0.015         | 0.67  | 100  | 0.0152          | 0.0144   | 0.0288        | 0.0288           | nan                 | 0.0288           | 0.0            | 0.0288      |
| 0.0139        | 0.8   | 120  | 0.0130          | 0.0074   | 0.0148        | 0.0148           | nan                 | 0.0148           | 0.0            | 0.0148      |
| 0.016         | 0.93  | 140  | 0.0121          | 0.0096   | 0.0192        | 0.0192           | nan                 | 0.0192           | 0.0            | 0.0192      |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3