---
library_name: transformers
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deit-base-patch16-224_rice-leaf-disease-augmented-v2_tl
  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-base-patch16-224_rice-leaf-disease-augmented-v2_tl

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8257
- Accuracy: 0.7232

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0445        | 1.0   | 63   | 1.8996          | 0.3631   |
| 1.6611        | 2.0   | 126  | 1.4965          | 0.5536   |
| 1.2741        | 3.0   | 189  | 1.2567          | 0.6190   |
| 1.0663        | 4.0   | 252  | 1.1184          | 0.6458   |
| 0.9481        | 5.0   | 315  | 1.0362          | 0.6696   |
| 0.8707        | 6.0   | 378  | 0.9921          | 0.6726   |
| 0.8161        | 7.0   | 441  | 0.9520          | 0.6875   |
| 0.7731        | 8.0   | 504  | 0.9180          | 0.6994   |
| 0.7417        | 9.0   | 567  | 0.8972          | 0.7054   |
| 0.7163        | 10.0  | 630  | 0.8765          | 0.7054   |
| 0.6954        | 11.0  | 693  | 0.8683          | 0.7054   |
| 0.6794        | 12.0  | 756  | 0.8527          | 0.7143   |
| 0.668         | 13.0  | 819  | 0.8441          | 0.7202   |
| 0.6575        | 14.0  | 882  | 0.8366          | 0.7202   |
| 0.65          | 15.0  | 945  | 0.8314          | 0.7173   |
| 0.645         | 16.0  | 1008 | 0.8284          | 0.7202   |
| 0.6417        | 17.0  | 1071 | 0.8270          | 0.7232   |
| 0.6402        | 18.0  | 1134 | 0.8262          | 0.7232   |
| 0.639         | 19.0  | 1197 | 0.8258          | 0.7232   |
| 0.6381        | 20.0  | 1260 | 0.8257          | 0.7232   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0