Rt Dterv2 Finetuned Trashify Box Detector v2

--- library_name: transformers license: apache-2.0 base_model: PekingU/rtdetr_v2_r50vd tags: - generated_from_trainer model-index: - name: rt_dterv2_finetuned_trashify_box_detector_v2 results: [] --- <!-- 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. --> # rt_dterv2_finetuned_trashify_box_detector_v2 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: 9.1936 - Map: 0.4075 - Map 50: 0.5406 - Map 75: 0.4698 - Map Small: 0.0 - Map Medium: 0.2646 - Map Large: 0.4168 - Mar 1: 0.4747 - Mar 10: 0.655 - Mar 100: 0.727 - Mar Small: 0.0 - Mar Medium: 0.5371 - Mar Large: 0.7467 - Map Bin: 0.7465 - Mar Bin: 0.8931 - Map Hand: 0.6137 - Mar Hand: 0.85 - Map Not Bin: 0.0631 - Mar Not Bin: 0.5909 - Map Not Hand: 0.0173 - Mar Not Hand: 0.5833 - Map Not Trash: 0.1557 - Mar Not Trash: 0.5992 - Map Trash: 0.6574 - Mar Trash: 0.8157 - Map Trash Arm: 0.5989 - Mar Trash Arm: 0.7571 ## 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: 10 - eval_batch_size: 10 - 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: linear - lr_scheduler_warmup_steps: 0.05 - num_epochs: 10 - mixed_precision_training: Native AMP ### 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 Bin | Mar Bin | Map Hand | Mar Hand | Map Not Bin | Mar Not Bin | Map Not Hand | Mar Not Hand | Map Not Trash | Mar Not Trash | Map Trash | Mar Trash | Map Trash Arm | Mar Trash Arm | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------:|:-------:|:--------:|:--------:|:-----------:|:---...