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

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

swin-tiny-patch4-window7-224-finetuned-eurosat is a image classification model from sck. 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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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: swin
Access: Public
Created: Jun 19, 2023
Updated: Jun 19, 2023
SHA: b3f17d55

Datasets

cifar10

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 cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.0944
Accuracy: 0.9674

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
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
0.5329	1.0	176	0.1501	0.9512
0.3966	2.0	352	0.1093	0.9636
0.3778	3.0	528	0.0944	0.9674

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1
Datasets 2.13.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jun 19, 2023
Updated: Jun 19, 2023