swin-tiny-patch4_eurosat

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swin-tiny-patch4_eurosat

This model is a fine-tuned version of suredream/swin-tiny-patch4-window7-224-finetuned-eurosat on the timm/eurosat-rgb dataset. It achieves the following results on the evaluation set:

• Loss: 0.0610
• Accuracy: 0.9863

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.43.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1