convnext-large-384-22k-1k-finetuned-eurosat

This model is a fine-tuned version of facebook/convnext-large-384-22k-1k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0012

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: 10
• eval_batch_size: 10
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.2737	0.97	22	0.0849
0.0416	1.98	45	0.0055
0.0096	2.99	68	0.0012
0.0018	3.87	88	0.0029

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2