--- license: apache-2.0 base_model: facebook/detr-resnet-50 tags: - object-detection - vision - 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 detection-datasets/coco dataset. It achieves the following results on the evaluation set: - Loss: 6388.8809 ## 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: 50.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 4 | 6398.4209 | | No log | 2.0 | 8 | 6397.8584 | | 6370.2805 | 3.0 | 12 | 6397.4790 | | 6370.2805 | 4.0 | 16 | 6396.8320 | | 6424.3547 | 5.0 | 20 | 6396.2930 | | 6424.3547 | 6.0 | 24 | 6395.7231 | | 6424.3547 | 7.0 | 28 | 6395.1377 | | 6477.4051 | 8.0 | 32 | 6394.8188 | | 6477.4051 | 9.0 | 36 | 6394.4785 | | 6381.9848 | 10.0 | 40 | 6394.2212 | | 6381.9848 | 11.0 | 44 | 6394.0664 | | 6381.9848 | 12.0 | 48 | 6393.9253 | | 6343.784 | 13.0 | 52 | 6393.7344 | | 6343.784 | 14.0 | 56 | 6393.6128 | | 6458.8668 | 15.0 | 60 | 6393.4380 | | 6458.8668 | 16.0 | 64 | 6393.2393 | | 6458.8668 | 17.0 | 68 | 6393.1040 | | 6414.077 | 18.0 | 72 | 6392.9575 | | 6414.077 | 19.0 | 76 | 6392.8301 | | 6417.8516 | 20.0 | 80 | 6392.3057 | | 6417.8516 | 21.0 | 84 | 6391.8311 | | 6417.8516 | 22.0 | 88 | 6391.5532 | | 6333.3547 | 23.0 | 92 | 6391.3403 | | 6333.3547 | 24.0 | 96 | 6391.1934 | | 6455.1539 | 25.0 | 100 | 6390.9741 | | 6455.1539 | 26.0 | 104 | 6390.8228 | | 6455.1539 | 27.0 | 108 | 6390.7607 | | 6399.7898 | 28.0 | 112 | 6390.6655 | | 6399.7898 | 29.0 | 116 | 6390.5859 | | 6410.9336 | 30.0 | 120 | 6390.4907 | | 6410.9336 | 31.0 | 124 | 6390.3389 | | 6410.9336 | 32.0 | 128 | 6390.1978 | | 6409.2 | 33.0 | 132 | 6390.0342 | | 6409.2 | 34.0 | 136 | 6389.9624 | | 6406.6211 | 35.0 | 140 | 6389.9111 | | 6406.6211 | 36.0 | 144 | 6389.6875 | | 6406.6211 | 37.0 | 148 | 6389.4756 | | 6371.1539 | 38.0 | 152 | 6389.3516 | | 6371.1539 | 39.0 | 156 | 6389.2695 | | 6409.1055 | 40.0 | 160 | 6389.2495 | | 6409.1055 | 41.0 | 164 | 6389.2090 | | 6409.1055 | 42.0 | 168 | 6389.1099 | | 6453.5285 | 43.0 | 172 | 6389.0405 | | 6453.5285 | 44.0 | 176 | 6388.9937 | | 6391.1004 | 45.0 | 180 | 6388.9541 | | 6391.1004 | 46.0 | 184 | 6388.9238 | | 6391.1004 | 47.0 | 188 | 6388.9077 | | 6416.6641 | 48.0 | 192 | 6388.8911 | | 6416.6641 | 49.0 | 196 | 6388.8828 | | 6397.6828 | 50.0 | 200 | 6388.8809 | ### Framework versions - Transformers 4.32.0.dev0 - Pytorch 2.0.0+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3