swinv2-small-patch4-window16-256-finetuned-eurosat

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swinv2-small-patch4-window16-256-finetuned-eurosat

This model is a fine-tuned version of microsoft/swinv2-small-patch4-window16-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0328
• Accuracy: 0.9893
• F1: 0.9893
• Precision: 0.9893
• Recall: 0.9893

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: 0.0001
• train_batch_size: 24
• eval_batch_size: 24
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 96
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5

Training results

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1