---
license: apache-2.0
base_model: suredream/swin-tiny-patch4-window7-224-finetuned-eurosat
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4_eurosat
  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-tiny-patch4_eurosat

This model is a fine-tuned version of [suredream/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/suredream/swin-tiny-patch4-window7-224-finetuned-eurosat) on the timm/eurosat-rgb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0610
- Accuracy: 0.9863

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3004        | 1.0   | 2025  | 0.1180          | 0.9678   |
| 0.539         | 2.0   | 4050  | 0.0834          | 0.9798   |
| 0.024         | 3.0   | 6075  | 0.0700          | 0.9831   |
| 0.2674        | 4.0   | 8100  | 0.0685          | 0.9833   |
| 0.2086        | 5.0   | 10125 | 0.0610          | 0.9863   |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1