---
library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base_rice-disease-02_111824
  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-disease-02_111824

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: 0.1191
- Accuracy: 0.9654

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.4008        | 1.0   | 212  | 0.8303   | 0.5579          |
| 0.331         | 2.0   | 424  | 0.9128   | 0.2795          |
| 0.192         | 3.0   | 636  | 0.9368   | 0.2083          |
| 0.1462        | 4.0   | 848  | 0.9488   | 0.1819          |
| 0.1224        | 5.0   | 1060 | 0.9534   | 0.1633          |
| 0.1067        | 6.0   | 1272 | 0.9521   | 0.1567          |
| 0.0954        | 7.0   | 1484 | 0.9574   | 0.1431          |
| 0.0879        | 8.0   | 1696 | 0.9594   | 0.1348          |
| 0.0809        | 9.0   | 1908 | 0.9594   | 0.1325          |
| 0.0759        | 10.0  | 2120 | 0.9634   | 0.1273          |
| 0.0721        | 11.0  | 2332 | 0.1264   | 0.9607          |
| 0.0688        | 12.0  | 2544 | 0.1212   | 0.9621          |
| 0.0662        | 13.0  | 2756 | 0.1199   | 0.9654          |
| 0.0645        | 14.0  | 2968 | 0.1191   | 0.9601          |
| 0.0631        | 15.0  | 3180 | 0.1191   | 0.9654          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3