Rt Detrv2 Finetuned Trashify Box Detector v1

--- library_name: transformers license: apache-2.0 base_model: PekingU/rtdetr_v2_r50vd tags: - generated_from_trainer model-index: - name: rt_detrv2_finetuned_trashify_box_detector_v1 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_detrv2_finetuned_trashify_box_detector_v1 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: 8.7848 - Map: 0.5341 - Map 50: 0.7349 - Map 75: 0.6468 - Map Small: 0.0002 - Map Medium: 0.3539 - Map Large: 0.5642 - Mar 1: 0.5616 - Mar 10: 0.6998 - Mar 100: 0.7109 - Mar Small: 0.1 - Mar Medium: 0.4727 - Mar Large: 0.7541 - Map Bin: 0.7906 - Mar 100 Bin: 0.8624 - Map Hand: 0.6251 - Mar 100 Hand: 0.7716 - Map Not Bin: 0.1563 - Mar 100 Not Bin: 0.5571 - Map Not Hand: -1.0 - Mar 100 Not Hand: -1.0 - Map Not Trash: 0.2793 - Mar 100 Not Trash: 0.55 - Map Trash: 0.6638 - Mar 100 Trash: 0.7575 - Map Trash Arm: 0.6895 - Mar 100 Trash Arm: 0.7667 ## 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: 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: 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 100 Bin | Map Hand | Mar 100 Hand | Map Not Bin | Mar 100 Not Bin | Map Not Hand | Mar 100 Not Hand | Map Not Trash | Mar 100 Not Trash | Map Trash | Mar 100 Trash | Map Trash Arm | Mar 100 Trash Arm | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----...