Dfine Cppe5

--- library_name: transformers license: apache-2.0 base_model: ustc-community/dfine-small-coco tags: - object-detection - vision - generated_from_trainer model-index: - name: dfine-cppe5 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. --> # dfine-cppe5 This model is a fine-tuned version of [ustc-community/dfine-small-coco](https://huggingface.co/ustc-community/dfine-small-coco) on the cppe-5 dataset. It achieves the following results on the evaluation set: - Loss: 4.3105 - Map: 0.1854 - Map 50: 0.2891 - Map 75: 0.2037 - Map Small: 0.0615 - Map Medium: 0.1352 - Map Large: 0.2007 - Mar 1: 0.2026 - Mar 10: 0.4969 - Mar 100: 0.5489 - Mar Small: 0.3591 - Mar Medium: 0.4387 - Mar Large: 0.6796 - Map Coverall: 0.6348 - Mar 100 Coverall: 0.7464 - Map Face Shield: 0.0897 - Mar 100 Face Shield: 0.5885 - Map Gloves: 0.0228 - Mar 100 Gloves: 0.3697 - Map Goggles: 0.0629 - Mar 100 Goggles: 0.5239 - Map Mask: 0.1167 - Mar 100 Mask: 0.516 ## 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 adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 300.0 ### 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask | |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:| | No log | 1.0 | 107 | 4.7397 | 0.1272 | 0.2199 | 0.1199 | 0.0238 | 0.084...