| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: PekingU/rtdetr_v2_r18vd |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: rt-detr-v2_barcode-detection |
| 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-detr-v2_barcode-detection |
| |
| This model is a fine-tuned version of [PekingU/rtdetr_v2_r18vd](https://huggingface.co/PekingU/rtdetr_v2_r18vd) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.0116 |
| - Map: 0.6843 |
| - Map 50: 0.8399 |
| - Map 75: 0.7445 |
| - Map Small: 0.3026 |
| - Map Medium: 0.7126 |
| - Map Large: 0.7607 |
| - Mar 1: 0.371 |
| - Mar 10: 0.8374 |
| - Mar 100: 0.8664 |
| - Mar Small: 0.6176 |
| - Mar Medium: 0.8646 |
| - Mar Large: 0.8864 |
| - Map Barcode: 0.6843 |
| - Mar 100 Barcode: 0.8664 |
| |
| ## 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: 16 |
| - 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: 6 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Barcode | Map Large | Map Medium | Map Small | Mar 1 | Mar 10 | Mar 100 | Mar 100 Barcode | Mar Large | Mar Medium | Mar Small | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-----------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------------:|:---------:|:----------:|:---------:| |
| | 7.43 | 1.0 | 1636 | 5.0547 | 0.623 | 0.7756 | 0.6841 | 0.623 | 0.6594 | 0.6674 | 0.2648 | 0.3542 | 0.8117 | 0.8521 | 0.8521 | 0.8749 | 0.8552 | 0.5325 | |
| | 6.9538 | 2.0 | 3272 | 4.9508 | 0.6297 | 0.7829 | 0.6878 | 0.6297 | 0.7109 | 0.6449 | 0.261 | 0.3612 | 0.8238 | 0.8604 | 0.8604 | 0.8794 | 0.8624 | 0.5972 | |
| | 6.6733 | 3.0 | 4908 | 5.0056 | 0.6553 | 0.8073 | 0.7122 | 0.6553 | 0.7359 | 0.6782 | 0.2319 | 0.3481 | 0.8201 | 0.8542 | 0.8542 | 0.8712 | 0.8573 | 0.6107 | |
| | 6.5783 | 4.0 | 6544 | 5.0493 | 0.6524 | 0.808 | 0.711 | 0.6524 | 0.7472 | 0.6782 | 0.2391 | 0.3581 | 0.8268 | 0.8629 | 0.8629 | 0.8819 | 0.8639 | 0.6066 | |
| | 6.4986 | 5.0 | 8180 | 5.0208 | 0.6944 | 0.8578 | 0.7542 | 0.6944 | 0.7651 | 0.7135 | 0.2808 | 0.3706 | 0.8307 | 0.8611 | 0.8611 | 0.879 | 0.863 | 0.6131 | |
| | 6.4056 | 6.0 | 9816 | 5.0116 | 0.6843 | 0.8399 | 0.7445 | 0.3026 | 0.7126 | 0.7607 | 0.371 | 0.8374 | 0.8664 | 0.6176 | 0.8646 | 0.8864 | 0.6843 | 0.8664 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.3 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.4.2 |
| - Tokenizers 0.22.1 |
| |
