Rf Detr Finetuned Mobile Ui

--- library_name: transformers license: apache-2.0 base_model: Roboflow/rf-detr-medium tags: - trackio - trackio:https://huggingface.co/spaces/merve/huggingface-static-283f99 - trackio:https://huggingface.co/spaces/merve/huggingface-static-a534c2 - trackio:https://huggingface.co/spaces/merve/huggingface-static-5c5ee8 - trackio:https://huggingface.co/spaces/merve/huggingface-static-abc81d - generated_from_trainer model-index: - name: rf_detr_finetuned_mobile_ui results: [] --- <a href="https://huggingface.co/spaces/merve/huggingface-static-283f99" 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. --> # rf_detr_finetuned_mobile_ui This model is a fine-tuned version of [Roboflow/rf-detr-medium](https://huggingface.co/Roboflow/rf-detr-medium) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 11.0488 - Map: 0.2827 - Map 50: 0.4193 - Map 75: 0.2913 - Map Small: 0.2021 - Map Medium: 0.2814 - Map Large: 0.3763 - Mar 1: 0.0609 - Mar 10: 0.3403 - Mar 100: 0.5668 - Mar Small: 0.4138 - Mar Medium: 0.5669 - Mar Large: 0.7317 - Map Group: 0.2092 - Mar 100 Group: 0.5979 - Map Image: 0.3334 - Mar 100 Image: 0.6295 - Map Rectangle: 0.2793 - Mar 100 Rectangle: 0.5245 - Map Text: 0.3089 - Mar 100 Text: 0.5151 ## 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 - gradient_accumulation_steps: 2 - 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 - num_epochs: 5 ### 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 Group...