dinov2-small-finetuned-eurosat

This model is a fine-tuned version of facebook/dinov2-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1476
• Accuracy: 0.9519

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	8	0.1869	0.9519
0.1069	2.0	16	0.1015	0.9615
0.0811	3.0	24	0.1934	0.9519
0.064	4.0	32	0.2220	0.9423
0.0188	5.0	40	0.1476	0.9519

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1