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# swinv2-tiny-patch4-window16-256-finetuned-plantdisease

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0636
- Accuracy: 0.9777

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.103         | 1.0   | 516  | 0.0636          | 0.9777   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1

pepper__bell___bacterial_spot pepper__bell___healthy potato___early_blight potato___late_blight potato___healthy tomato_bacterial_spot tomato_early_blight tomato_late_blight tomato_leaf_mold tomato_septoria_leaf_spot tomato_spider_mites_two_spotted_spider_mite tomato__target_spot tomato__tomato_yellowleaf__curl_virus tomato__tomato_mosaic_virus tomato_healthy