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

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8358
• Accuracy: 0.6580
• F1: 0.6497

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: 96
• eval_batch_size: 96
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 384
• 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	F1
1.0613	0.9997	1973	0.9913	0.5967	0.5794
1.0041	2.0	3947	0.8844	0.6358	0.6275
0.9508	2.9992	5919	0.8358	0.6580	0.6497

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1