bigearthnet-vit

Ganymede981/bigearthnet-vit

bigearthnet-vit is a machine learning model from Ganymede981. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 12, 2026
Updated: May 14, 2026
SHA: 7fa40a72

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

bigearthnet-vit

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0968
F1 Micro: 0.6503
F1 Macro: 0.2662
Map: 0.3291

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: 0.0001
train_batch_size: 512
eval_batch_size: 512
seed: 42
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: cosine_with_restarts
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	F1 Macro	F1 Micro	Validation Loss	Map
0.1646	0.9488	500	0.2670	0.6567	0.0970	0.3339
0.1245	1.8975	1000	0.0971	0.6492	0.2668	0.3284
0.1245	2.0	1054	0.0968	0.6503	0.2662	0.3291

Framework versions

PEFT 0.19.1
Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2

Library: peft
License: apache-2.0
Created: May 12, 2026
Updated: May 14, 2026