Rtdetr v2 R50 Cppe5 Finetune 2

--- library_name: transformers license: apache-2.0 base_model: PekingU/rtdetr_v2_r50vd tags: - generated_from_trainer model-index: - name: rtdetr-v2-r50-cppe5-finetune-2 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. --> # rtdetr-v2-r50-cppe5-finetune-2 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: - eval_loss: 56.8776 - eval_map: 0.0016 - eval_map_50: 0.0033 - eval_map_75: 0.0013 - eval_map_small: 0.0001 - eval_map_medium: 0.002 - eval_map_large: 0.0141 - eval_mar_1: 0.0047 - eval_mar_10: 0.0217 - eval_mar_100: 0.0874 - eval_mar_small: 0.0102 - eval_mar_medium: 0.0588 - eval_mar_large: 0.1563 - eval_map_Coverall: 0.0002 - eval_mar_100_Coverall: 0.0821 - eval_map_Face_Shield: 0.0055 - eval_mar_100_Face_Shield: 0.1176 - eval_map_Gloves: 0.002 - eval_mar_100_Gloves: 0.1983 - eval_map_Goggles: 0.0 - eval_mar_100_Goggles: 0.0 - eval_map_Mask: 0.0002 - eval_mar_100_Mask: 0.0392 - eval_runtime: 65.4375 - eval_samples_per_second: 0.443 - eval_steps_per_second: 0.061 - epoch: 0.0748 - step: 8 ## 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: linear - lr_scheduler_warmup_steps: 300 - num_epochs: 40 ### Framework versions - Transformers 5.12.1 - Pytorch 2.12.1+cu130 - Datasets 5.0.0 - Tokenizers 0.22.2