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---
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
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