---
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-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. -->

# swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl

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: 0.6677
- Accuracy: 0.7857

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9001        | 1.0   | 63   | 1.6795          | 0.4613   |
| 1.429         | 2.0   | 126  | 1.2172          | 0.6310   |
| 1.0492        | 3.0   | 189  | 1.0030          | 0.6905   |
| 0.8729        | 4.0   | 252  | 0.8982          | 0.7381   |
| 0.7743        | 5.0   | 315  | 0.8246          | 0.7321   |
| 0.7084        | 6.0   | 378  | 0.7977          | 0.7440   |
| 0.6631        | 7.0   | 441  | 0.7650          | 0.7649   |
| 0.6279        | 8.0   | 504  | 0.7327          | 0.7619   |
| 0.6004        | 9.0   | 567  | 0.7189          | 0.7768   |
| 0.577         | 10.0  | 630  | 0.7078          | 0.7798   |
| 0.5625        | 11.0  | 693  | 0.6952          | 0.7738   |
| 0.5449        | 12.0  | 756  | 0.6857          | 0.7857   |
| 0.537         | 13.0  | 819  | 0.6802          | 0.7827   |
| 0.5301        | 14.0  | 882  | 0.6746          | 0.7857   |
| 0.5224        | 15.0  | 945  | 0.6715          | 0.7857   |
| 0.5188        | 16.0  | 1008 | 0.6704          | 0.7857   |
| 0.5153        | 17.0  | 1071 | 0.6685          | 0.7857   |
| 0.5112        | 18.0  | 1134 | 0.6676          | 0.7857   |
| 0.5119        | 19.0  | 1197 | 0.6678          | 0.7857   |
| 0.5112        | 20.0  | 1260 | 0.6677          | 0.7857   |


### Framework versions

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