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# vit-fire-detection

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0211
- Precision: 0.9947
- Recall: 0.9947

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.106         | 1.0   | 190  | 0.0632          | 0.9836    | 0.9828 |
| 0.0279        | 2.0   | 380  | 0.0257          | 0.9947    | 0.9947 |
| 0.0303        | 3.0   | 570  | 0.0431          | 0.9832    | 0.9828 |
| 0.0155        | 4.0   | 760  | 0.0253          | 0.9934    | 0.9934 |
| 0.0131        | 5.0   | 950  | 0.0243          | 0.9934    | 0.9934 |
| 0.0104        | 6.0   | 1140 | 0.0216          | 0.9921    | 0.9921 |
| 0.0133        | 7.0   | 1330 | 0.0210          | 0.9934    | 0.9934 |
| 0.0071        | 8.0   | 1520 | 0.0286          | 0.9921    | 0.9921 |
| 0.001         | 9.0   | 1710 | 0.0285          | 0.9921    | 0.9921 |
| 0.0086        | 10.0  | 1900 | 0.0211          | 0.9947    | 0.9947 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["precision", "recall"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-fire-detection", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "validation", "args": "default"}, "metrics": [{"type": "precision", "value": 0.9947089947089947, "name": "Precision"}, {"type": "recall", "value": 0.9947089947089947, "name": "Recall"}]}]}]}
transformers safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:google/vit-base-patch16-224-in21k license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us