--- license: apache-2.0 base_model: microsoft/conditional-detr-resnet-50 tags: - object-detection - vision - generated_from_trainer model-index: - name: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad results: [] --- [Visualize in Weights & Biases](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/vn7jioeq) # microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the cppe-5 dataset. ## 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: 8 - eval_batch_size: 1 - seed: 1337 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100.0 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.41.0.dev0 - Pytorch 1.13.0+cu117 - Datasets 2.18.0 - Tokenizers 0.19.0