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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...

KindOtherBase modelPekingU/rtdetr_v2_r50vdVersionRevision 0511d64Cgrade

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Kind
Other
File size
164 MB
Base model
PekingU/rtdetr_v2_r50vd
Version
vRevision 0511d64
Updated
Sep 16, 2026
Downloads
6
Source
Hugging Face

Source excerpt

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...

Sources

1 source
Hugging FacePrimaryVersion 0511d6439dbe729eb881a1f018be284bbc3ebe46
huggingface.co/Voix7/rtdetrv2-floorplan/tree/0511d6439dbe729eb881a1f018be284bbc3ebe46

Verified Sep 2

Model artifacts

1 artifact

model.safetensors

safetensors · 164 MB · SHA-256 e5a1bf6d8c33…a712 · Hugging Face

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2 excerpts

--- 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