---
library_name: transformers
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: deit-tiny-patch16-224-FireRisk
  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. -->

# deit-tiny-patch16-224-FireRisk

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9674
- Accuracy: 0.6225
- Precision: 0.5196
- Recall: 0.5188
- F1: 0.5181

## 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: 0.0001
- train_batch_size: 512
- eval_batch_size: 512
- 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 | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.0629        | 1.0   | 138  | 1.0164          | 0.5956   | 0.5031    | 0.4563 | 0.4436 |
| 1.0186        | 2.0   | 276  | 1.0379          | 0.5866   | 0.4789    | 0.4931 | 0.4796 |
| 0.9796        | 3.0   | 414  | 0.9674          | 0.6225   | 0.5196    | 0.5188 | 0.5181 |
| 0.9739        | 4.0   | 552  | 0.9854          | 0.6101   | 0.5081    | 0.4931 | 0.4942 |
| 0.9154        | 5.0   | 690  | 0.9508          | 0.6217   | 0.5172    | 0.5066 | 0.5096 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0