---
library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base_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. -->

# dinov2-base_rice-leaf-disease-augmented-v2_tl

This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5013
- Accuracy: 0.8512

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0771        | 1.0   | 63   | 1.5173          | 0.4881   |
| 1.0706        | 2.0   | 126  | 0.9022          | 0.7173   |
| 0.6568        | 3.0   | 189  | 0.7203          | 0.7619   |
| 0.5123        | 4.0   | 252  | 0.6513          | 0.7827   |
| 0.4311        | 5.0   | 315  | 0.5929          | 0.8125   |
| 0.3812        | 6.0   | 378  | 0.5802          | 0.8274   |
| 0.3426        | 7.0   | 441  | 0.5669          | 0.8274   |
| 0.3145        | 8.0   | 504  | 0.5452          | 0.8333   |
| 0.2919        | 9.0   | 567  | 0.5532          | 0.8155   |
| 0.276         | 10.0  | 630  | 0.5275          | 0.8423   |
| 0.263         | 11.0  | 693  | 0.5189          | 0.8512   |
| 0.2502        | 12.0  | 756  | 0.5181          | 0.8512   |
| 0.2416        | 13.0  | 819  | 0.5058          | 0.8482   |
| 0.2343        | 14.0  | 882  | 0.5050          | 0.8542   |
| 0.2292        | 15.0  | 945  | 0.5009          | 0.8482   |
| 0.2245        | 16.0  | 1008 | 0.5057          | 0.8482   |
| 0.2224        | 17.0  | 1071 | 0.5040          | 0.8512   |
| 0.2205        | 18.0  | 1134 | 0.5021          | 0.8482   |
| 0.2195        | 19.0  | 1197 | 0.5017          | 0.8512   |
| 0.2188        | 20.0  | 1260 | 0.5013          | 0.8512   |


### Framework versions

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