rf-detr-seg-satellite-buildings
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
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Base model
Roboflow/rf-detr-seg-medium