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

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