convnextv2_femto.fcmae-finetuned-eurosat

This model is a fine-tuned version of timm/convnextv2_femto.fcmae on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 3.1097
• Accuracy: 0.1792

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 adamw_torch_fused 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: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.5292	1.0	15	3.3680	0.1085
3.2749	2.0	30	3.1927	0.1509
3.1736	3.0	45	3.1097	0.1792

Framework versions

• Transformers 4.57.3
• Pytorch 2.8.0+cu128
• Datasets 4.4.2
• Tokenizers 0.22.1