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# Rice-Plant-20-Epochs-Model

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 imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1306
- Accuracy: 0.9720
- F1: 0.9719

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.0906        | 1.0   | 116  | 0.6826          | 0.8660   | 0.8676 |
| 0.3792        | 2.0   | 232  | 0.3327          | 0.9470   | 0.9474 |
| 0.1934        | 3.0   | 348  | 0.2876          | 0.9283   | 0.9285 |
| 0.1157        | 4.0   | 464  | 0.2187          | 0.9470   | 0.9470 |
| 0.0849        | 5.0   | 580  | 0.1614          | 0.9688   | 0.9689 |
| 0.0675        | 6.0   | 696  | 0.1326          | 0.9688   | 0.9688 |
| 0.0561        | 7.0   | 812  | 0.1227          | 0.9688   | 0.9688 |
| 0.0485        | 8.0   | 928  | 0.1306          | 0.9720   | 0.9719 |
| 0.0416        | 9.0   | 1044 | 0.1356          | 0.9720   | 0.9719 |
| 0.0369        | 10.0  | 1160 | 0.1184          | 0.9688   | 0.9688 |
| 0.0335        | 11.0  | 1276 | 0.1281          | 0.9720   | 0.9720 |
| 0.0308        | 12.0  | 1392 | 0.1129          | 0.9720   | 0.9719 |
| 0.0285        | 13.0  | 1508 | 0.1074          | 0.9720   | 0.9719 |
| 0.0267        | 14.0  | 1624 | 0.1061          | 0.9720   | 0.9719 |
| 0.0253        | 15.0  | 1740 | 0.1049          | 0.9720   | 0.9719 |
| 0.0241        | 16.0  | 1856 | 0.1048          | 0.9720   | 0.9719 |
| 0.0232        | 17.0  | 1972 | 0.1045          | 0.9720   | 0.9719 |
| 0.0225        | 18.0  | 2088 | 0.1036          | 0.9720   | 0.9719 |
| 0.0221        | 19.0  | 2204 | 0.1035          | 0.9720   | 0.9719 |
| 0.0219        | 20.0  | 2320 | 0.1036          | 0.9720   | 0.9719 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

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