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# jute_pest_classification

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 [Jute Pest](https://archive.ics.uci.edu/dataset/920/jute+pest+dataset) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0949
- F1: 0.9817
- Precision: 0.9838
- Recall: 0.9815

## 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: 12
- eval_batch_size: 12
- 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 | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
| 0.0536        | 1.0   | 537  | 0.2264          | 0.9516 | 0.9574    | 0.9516 |
| 0.0133        | 2.0   | 1074 | 0.3102          | 0.9448 | 0.9509    | 0.9467 |
| 0.0111        | 3.0   | 1611 | 0.3323          | 0.9402 | 0.9464    | 0.9395 |
| 0.0051        | 4.0   | 2148 | 0.2991          | 0.9447 | 0.9500    | 0.9443 |
| 0.0037        | 5.0   | 2685 | 0.3045          | 0.9447 | 0.9500    | 0.9443 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

beet armyworm black hairy leaf beetle mealybug pod borer scopula emissaria termite termite odontotermes (rambur) yellow mite cutworm field cricket jute aphid jute hairy jute red mite jute semilooper jute stem girdler jute stem weevil