convnext_tiny.in12k_ft_in1k-finetuned-eurosat

This model is a fine-tuned version of timm/convnext_tiny.in12k_ft_in1k on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0427
• Accuracy: 0.9874

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_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_steps: 57
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1927	1.0	190	0.0958	0.9644
0.1429	2.0	380	0.0507	0.9844
0.0879	3.0	570	0.0427	0.9874

Framework versions

• Transformers 5.5.0
• Pytorch 2.11.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2