--- license: apache-2.0 tags: - generated_from_trainer datasets: - cd45rb_nan_xywh model-index: - name: detr-r50-cd45rb-8ah-4l-1cost results: [] --- # detr-r50-cd45rb-8ah-4l-1cost This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set: - Loss: 1.1222 ## 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-06 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.7758 | 1.0 | 4606 | 1.3048 | | 1.6314 | 2.0 | 9212 | 1.2281 | | 1.5709 | 3.0 | 13818 | 1.1944 | | 1.5368 | 4.0 | 18424 | 1.1702 | | 1.5132 | 5.0 | 23030 | 1.1497 | | 1.4929 | 6.0 | 27636 | 1.1419 | | 1.4803 | 7.0 | 32242 | 1.1298 | | 1.4703 | 8.0 | 36848 | 1.1246 | | 1.4655 | 9.0 | 41454 | 1.1222 | | 1.4625 | 10.0 | 46060 | 1.1222 | ### Framework versions - Transformers 4.28.0 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3