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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: 0.5069

## 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 15   | 0.9700          |
| No log        | 2.0   | 30   | 0.5159          |
| No log        | 3.0   | 45   | 0.5627          |
| No log        | 4.0   | 60   | 0.5004          |
| No log        | 5.0   | 75   | 0.5069          |


### Framework versions

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

fire normal smoke