
<!-- 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. -->

# vit-base-patch16-224-finetuned

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1532
- Accuracy: 0.6747

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8046        | 1.0   | 35   | 1.5308          | 0.6004   |
| 1.1931        | 2.0   | 70   | 1.2080          | 0.6526   |
| 1.0292        | 3.0   | 105  | 1.1532          | 0.6747   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

spodoptera_litura aphid beet_armyworm borer chemical_fertilizer cnidocampa_flavescens corn_borer cotton_bollworm fhb grasshopper longhorn_beetle oriental_fruit_fly pesticides plutella_xylostella rice_planthopper rice_stem_borer rolled_leaf_borer