---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: mit-b0-building-damage-lora
  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. -->

# mit-b0-building-damage-lora

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Background: nan
- Accuracy Building: nan
- Iou Background: 0.0
- Iou Building: 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Building | Iou Background | Iou Building |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-----------------:|:--------------:|:------------:|
| 0.2415        | 1.0   | 5    | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
| 0.0067        | 2.0   | 10   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
| 0.0014        | 3.0   | 15   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
| 0.0008        | 4.0   | 20   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
| 0.0019        | 5.0   | 25   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1