| --- |
| license: apache-2.0 |
| base_model: qgyd2021/detr_cppe5_object_detection |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cppe5 |
| model-index: |
| - name: detr_cppe5_object_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. --> |
|
|
| # detr_cppe5_object_detection |
| |
| This model is a fine-tuned version of [qgyd2021/detr_cppe5_object_detection](https://huggingface.co/qgyd2021/detr_cppe5_object_detection) on the cppe5 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0644 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 200 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.8107 | 3.17 | 200 | 1.0516 | |
| | 0.8031 | 6.35 | 400 | 1.1292 | |
| | 0.7474 | 9.52 | 600 | 1.1179 | |
| | 0.7315 | 12.7 | 800 | 1.0198 | |
| | 0.7605 | 15.87 | 1000 | 1.0427 | |
| | 0.7611 | 19.05 | 1200 | 1.0867 | |
| | 0.7377 | 22.22 | 1400 | 1.1264 | |
| | 0.7303 | 25.4 | 1600 | 1.1137 | |
| | 0.6692 | 28.57 | 1800 | 1.0644 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
| |
