| --- |
| 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: 1.1300 |
| |
| ## 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: 30 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.8224 | 3.17 | 200 | 1.0183 | |
| | 0.8185 | 6.35 | 400 | 1.0975 | |
| | 0.7584 | 9.52 | 600 | 1.0917 | |
| | 0.7272 | 12.7 | 800 | 1.0980 | |
| | 0.7481 | 15.87 | 1000 | 1.1201 | |
| | 0.7586 | 19.05 | 1200 | 1.1300 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
| |
