metadata
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: []
rt-detr-v2_barcode-detection
This model is a fine-tuned version of 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