--- license: apache-2.0 base_model: facebook/detr-resnet-50 tags: - generated_from_trainer model-index: - name: detr results: [] --- # detr This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8684 ## 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: 0.0001 - 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: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.2294 | 0.1 | 250 | 1.5375 | | 1.4499 | 0.2 | 500 | 1.3111 | | 1.2584 | 0.3 | 750 | 1.1323 | | 1.1306 | 0.4 | 1000 | 1.0789 | | 1.1112 | 0.5 | 1250 | 1.0349 | | 1.0478 | 0.6 | 1500 | 0.9710 | | 0.9709 | 0.7 | 1750 | 0.9510 | | 0.96 | 0.8 | 2000 | 0.9061 | | 0.9417 | 0.9 | 2250 | 0.8761 | | 0.939 | 1.0 | 2500 | 0.8684 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.15.2