swin-tiny-patch4-window7-224-finetuned-eurosat-backup

NSB/swin-tiny-patch4-window7-224-finetuned-eurosat-backup

swin-tiny-patch4-window7-224-finetuned-eurosat-backup is a image classification model from NSB. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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.safetensors110 MB · 100%

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Base models

microsoft/swin-tiny-patch4-window7-224

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-finetuned-eurosat

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0485
Accuracy: 0.9856

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2134	1.0	190	0.0957	0.9685
0.1207	2.0	380	0.0556	0.9826
0.1198	3.0	570	0.0485	0.9856

Framework versions

Transformers 4.55.4
Pytorch 2.7.0+gitf717b2a
Datasets 3.6.0
Tokenizers 0.21.4

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Nov 7, 2025
Updated: Nov 7, 2025