--- license: apache-2.0 base_model: facebook/detr-resnet-50 tags: - generated_from_trainer model-index: - name: detr-resnet-50-base-coco results: [] --- # detr-resnet-50-base-coco This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset. It achieves the following results on the evaluation set: - Loss: 6395.8599 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 1337 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 4 | 6398.5435 | | No log | 2.0 | 8 | 6397.9766 | | 6175.8828 | 3.0 | 12 | 6397.4253 | | 6175.8828 | 4.0 | 16 | 6396.9629 | | 6292.3258 | 5.0 | 20 | 6396.5718 | | 6292.3258 | 6.0 | 24 | 6396.2788 | | 6292.3258 | 7.0 | 28 | 6396.0767 | | 6230.4844 | 8.0 | 32 | 6395.9600 | | 6230.4844 | 9.0 | 36 | 6395.8672 | | 6089.8695 | 10.0 | 40 | 6395.8599 | ### Framework versions - Transformers 4.32.0.dev0 - Pytorch 2.0.0+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3