rf-detr-seg-satellite
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: 57.3546
- Mean Iou: 0.3320
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou |
|---|---|---|---|---|
| No log | 0.0047 | 2 | 64.5888 | 0.1572 |
| No log | 1.0213 | 11 | 63.9776 | 0.1583 |
| No log | 2.0071 | 14 | 63.8052 | 0.1588 |
| No log | 3.0024 | 15 | 63.9838 | 0.1598 |
| No log | 4.0189 | 23 | 62.0472 | 0.1897 |
| No log | 5.0024 | 24 | 61.8414 | 0.1994 |
| No log | 6.0118 | 29 | 60.5323 | 0.2599 |
| No log | 7.0308 | 42 | 58.2103 | 0.2854 |
| No log | 8.0024 | 43 | 58.0191 | 0.2838 |
| No log | 9.0166 | 50 | 57.3546 | 0.3320 |
Framework versions
- Transformers 5.10.0.dev0
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2