Rtdetrv2 Floorplan
This model is a fine-tuned version of PekingU/rtdetrv2r50vd on an unknown dataset. It achieves the following results on the evaluation set: Loss: 6.9335 Map: 0.5424 Map 50: 0.6551 Map 75: 0.5889 Map Small: 0.5058 Map...
Modellquelle
- Art
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- Dateigröße
- 164 MB
- Basismodell
- PekingU/rtdetr_v2_r50vd
- Version
- vRevision 0511d64
- Aktualisiert
- 16. Sept. 2026
- Downloads
- 6
- Quelle
- Hugging Face
Quellenauszug
This model is a fine-tuned version of PekingU/rtdetrv2r50vd on an unknown dataset. It achieves the following results on the evaluation set: Loss: 6.9335 Map: 0.5424 Map 50: 0.6551 Map 75: 0.5889 Map Small: 0.5058 Map...
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 2. Sept.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- library_name: transformers license: apache-2.0 base_model: PekingU/rtdetr_v2_r50vd tags: - trackio - trackio:https://huggingface.co/spaces/Voix7/huggingface-static-89ba98 - generated_from_trainer model-index: - name: rtdetrv2-floorplan results: [] --- <a href="https://huggingface.co/spaces/Voix7/huggingface-static-89ba98" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a> <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # rtdetrv2-floorplan This model is a fine-tuned version of [PekingU/rtdetr_v2_r50vd](https://huggingface.co/PekingU/rtdetr_v2_r50vd) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 6.9335 - Map: 0.5424 - Map 50: 0.6551 - Map 75: 0.5889 - Map Small: 0.5058 - Map Medium: 0.7206 - Map Large: 0.2238 - Mar 1: 0.269 - Mar 10: 0.8104 - Mar 100: 0.862 - Mar Small: 0.8045 - Mar Medium: 0.8731 - Mar Large: 0.7548 - Map Window: 0.6578 - Mar 100 Window: 0.818 - Map Door: 0.4366 - Mar 100 Door: 0.9306 - Map Stair: 0.5329 - Mar 100 Stair: 0.8374 ## 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: 8 - eval_batch_size: 8 - 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: 0.05 - num_epochs: 30 ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Window | Mar 100 Window | Map Door | Mar 100 Door | Map Stair | Mar 100 Stair | |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:--------:|:------------:|:---...
Source context: 6 downloads · 0 likes · Pipeline object-detection · Library transformers · Repo Voix7/rtdetrv2-floorplan
