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

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

swin-tiny-patch4-window7-224-finetuned-eurosat is a image classification model from coralexbadea. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

555

Public

Repo size

442 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin110 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: swin
Access: Public
Created: Mar 20, 2023
Updated: Mar 20, 2023
SHA: 0ac09364

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 the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0591
Accuracy: 0.9785

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2318	1.0	190	0.1268	0.9593
0.1825	2.0	380	0.0874	0.97
0.1386	3.0	570	0.0591	0.9785

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Mar 20, 2023
Updated: Mar 20, 2023