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---
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: 0.9478
- Accuracy: 0.6253
- Precision: 0.5221
- Recall: 0.5179
- F1: 0.5190
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.9714 | 1.0 | 138 | 0.9923 | 0.6114 | 0.5167 | 0.5118 | 0.5070 |
| 0.9482 | 2.0 | 276 | 0.9760 | 0.6094 | 0.4985 | 0.5138 | 0.5030 |
| 0.9263 | 3.0 | 414 | 0.9398 | 0.6314 | 0.5226 | 0.5202 | 0.5180 |
| 0.903 | 4.0 | 552 | 0.9683 | 0.6183 | 0.5141 | 0.5021 | 0.5039 |
| 0.8536 | 5.0 | 690 | 0.9478 | 0.6253 | 0.5221 | 0.5179 | 0.5190 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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