victorbarra/rf_detr_finetuned_mobile_ui

<a href="https://huggingface.co/spaces/victorbarra/huggingface-static-4b6e39" 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. -->

rfdetrfinetunedmobileui

This model is a fine-tuned version of Roboflow/rf-detr-medium on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 11.2941
• —Map: 0.2168
• —Map 50: 0.3333
• —Map 75: 0.2202
• —Map Small: 0.1391
• —Map Medium: 0.221
• —Map Large: 0.2988
• —Mar 1: 0.0541
• —Mar 10: 0.3024
• —Mar 100: 0.5255
• —Mar Small: 0.3717
• —Mar Medium: 0.5325
• —Mar Large: 0.6828
• —Map Group: 0.1443
• —Mar 100 Group: 0.5592
• —Map Image: 0.2562
• —Mar 100 Image: 0.574
• —Map Rectangle: 0.2237
• —Mar 100 Rectangle: 0.4755
• —Map Text: 0.2428
• —Mar 100 Text: 0.4934

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 3

Training results

Framework versions

• —Transformers 5.12.1
• —Pytorch 2.8.0+cu128
• —Datasets 5.0.0
• —Tokenizers 0.22.2