---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224_rice-disease-02_112024
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# swin-base-patch4-window7-224_rice-disease-02_112024

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co./microsoft/swin-base-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4398
- Accuracy: 0.8563

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2332        | 1.0   | 212  | 0.6265          | 0.8090   |
| 0.5399        | 2.0   | 424  | 0.4724          | 0.8516   |
| 0.4542        | 3.0   | 636  | 0.4398          | 0.8563   |


### Framework versions

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