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

Loss: 0.0102
Accuracy: 0.9957

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
0.0225	0.98	32	0.0102	0.9957
0.0378	1.98	64	0.0102	0.9957
0.041	2.98	96	0.0102	0.9957

Framework versions

Transformers 4.23.1
Pytorch 1.13.0+cpu
Datasets 2.6.1
Tokenizers 0.13.1

Marcuslye0220/swin-small-patch4-window7-224-finetuned-eurosat

swin-small-patch4-window7-224-finetuned-eurosat

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Marcuslye0220/
swin-small-patch4-window7-224-finetuned-eurosat