This model is a fine-tuned version of Roboflow/rf-detr-seg-medium on the merve/satellite-building-segmentation dataset. It achieves the following results on the evaluation set:

Loss: 36.7095

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: 16
eval_batch_size: 16
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	423	37.8047
43.7043	2.0	846	37.4916
35.1590	3.0	1269	37.8244
33.0292	4.0	1692	37.4584
31.1621	5.0	2115	37.5637
29.3205	6.0	2538	37.3677
29.3205	7.0	2961	37.2131
27.2068	8.0	3384	36.6914
25.4548	9.0	3807	36.7667
24.4372	10.0	4230	36.7119

Framework versions

Transformers 5.9.0
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1

merve/rf-detr-seg-satellite-buildings

rf-detr-seg-satellite-buildings

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

merve/
rf-detr-seg-satellite-buildings