---
license: apache-2.0
base_model: EdBianchi/vit-fire-detection
tags:
- generated_from_trainer
model-index:
- name: fire_01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fire_01

This model is a fine-tuned version of [EdBianchi/vit-fire-detection](https://huggingface.co/EdBianchi/vit-fire-detection) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5913

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 15   | 0.6945          |
| No log        | 2.0   | 30   | 0.4927          |
| No log        | 3.0   | 45   | 0.5516          |
| No log        | 4.0   | 60   | 0.4700          |
| No log        | 5.0   | 75   | 0.5426          |
| No log        | 6.0   | 90   | 0.5149          |
| No log        | 7.0   | 105  | 0.5401          |
| No log        | 8.0   | 120  | 0.5532          |
| No log        | 9.0   | 135  | 0.5662          |
| No log        | 10.0  | 150  | 0.5913          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1