--- library_name: transformers license: apache-2.0 base_model: facebook/detr-resnet-50-dc5 tags: - generated_from_trainer model-index: - name: detr-resnet-50-dc5-fashionpedia-finetuned results: [] datasets: - detection-datasets/fashionpedia --- # detr-resnet-50-dc5-fashionpedia-finetuned This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on a subset of fashionpedia dataset (10% of both train and test sets). It achieves the following results on the evaluation set: - Loss: 4.4538 - Map: 0.0003 - Map 50: 0.0015 - Map 75: 0.0002 - Map Small: 0.0 - Map Medium: 0.0001 - Map Large: 0.0013 - Mar 1: 0.0013 - Mar 10: 0.0052 - Mar 100: 0.0071 - Mar Small: 0.0007 - Mar Medium: 0.0135 - Mar Large: 0.0085 - Map Shirt, blouse: 0.0 - Mar 100 Shirt, blouse: 0.0 - Map Top, t-shirt, sweatshirt: 0.0118 - Mar 100 Top, t-shirt, sweatshirt: 0.1854 - Map Sweater: 0.0 - Mar 100 Sweater: 0.0 - Map Cardigan: 0.0 - Mar 100 Cardigan: 0.0 - Map Jacket: 0.0 - Mar 100 Jacket: 0.0 - Map Vest: 0.0 - Mar 100 Vest: 0.0 - Map Pants: 0.0 - Mar 100 Pants: 0.0 - Map Shorts: 0.0 - Mar 100 Shorts: 0.0 - Map Skirt: 0.0 - Mar 100 Skirt: 0.0 - Map Coat: 0.0 - Mar 100 Coat: 0.0 - Map Dress: 0.0 - Mar 100 Dress: 0.0 - Map Glasses: 0.0 - Mar 100 Glasses: 0.0 - Map Hat: 0.0 - Mar 100 Hat: 0.0 - Map Headband, head covering, hair accessory: 0.0 - Mar 100 Headband, head covering, hair accessory: 0.0 - Map Tie: -1.0 - Mar 100 Tie: -1.0 - Map Glove: 0.0 - Mar 100 Glove: 0.0 - Map Watch: 0.0 - Mar 100 Watch: 0.0 - Map Belt: 0.0 - Mar 100 Belt: 0.0 - Map Tights, stockings: 0.0 - Mar 100 Tights, stockings: 0.0 - Map Sock: 0.0 - Mar 100 Sock: 0.0 - Map Shoe: 0.0002 - Mar 100 Shoe: 0.064 - Map Bag, wallet: 0.0 - Mar 100 Bag, wallet: 0.0 - Map Scarf: 0.0 - Mar 100 Scarf: 0.0 - Map Umbrella: 0.0 - Mar 100 Umbrella: 0.0 - Map Hood: 0.0 - Mar 100 Hood: 0.0 - Map Collar: 0.0 - Mar 100 Collar: 0.0 - Map Lapel: 0.0 - Mar 100 Lapel: 0.0 - Map Epaulette: 0.0 - Mar 100 Epaulette: 0.0 - Map Sleeve: 0.0 - Mar 100 Sleeve: 0.0 - Map Pocket: 0.0 - Mar 100 Pocket: 0.0167 - Map Neckline: 0.0 - Mar 100 Neckline: 0.0044 - Map Buckle: 0.0 - Mar 100 Buckle: 0.0 - Map Zipper: 0.0 - Mar 100 Zipper: 0.0 - Map Applique: 0.0 - Mar 100 Applique: 0.0 - Map Bead: 0.0 - Mar 100 Bead: 0.0 - Map Bow: 0.0 - Mar 100 Bow: 0.0 - Map Rivet: 0.0 - Mar 100 Rivet: 0.0 - Map Ruffle: 0.0 - Mar 100 Ruffle: 0.0 - Map Tassel: 0.0 - Mar 100 Tassel: 0.0 ## 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-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - training_steps: 500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Shirt, blouse | Mar 100 Shirt, blouse | Map Top, t-shirt, sweatshirt | Mar 100 Top, t-shirt, sweatshirt | Map Sweater | Mar 100 Sweater | Map Cardigan | Mar 100 Cardigan | Map Jacket | Mar 100 Jacket | Map Vest | Mar 100 Vest | Map Pants | Mar 100 Pants | Map Shorts | Mar 100 Shorts | Map Skirt | Mar 100 Skirt | Map Coat | Mar 100 Coat | Map Dress | Mar 100 Dress | Map Jumpsuit | Mar 100 Jumpsuit | Map Cape | Mar 100 Cape | Map Glasses | Mar 100 Glasses | Map Hat | Mar 100 Hat | Map Headband, head covering, hair accessory | Mar 100 Headband, head covering, hair accessory | Map Tie | Mar 100 Tie | Map Glove | Mar 100 Glove | Map Watch | Mar 100 Watch | Map Belt | Mar 100 Belt | Map Leg warmer | Mar 100 Leg warmer | Map Tights, stockings | Mar 100 Tights, stockings | Map Sock | Mar 100 Sock | Map Shoe | Mar 100 Shoe | Map Bag, wallet | Mar 100 Bag, wallet | Map Scarf | Mar 100 Scarf | Map Umbrella | Mar 100 Umbrella | Map Hood | Mar 100 Hood | Map Collar | Mar 100 Collar | Map Lapel | Mar 100 Lapel | Map Epaulette | Mar 100 Epaulette | Map Sleeve | Mar 100 Sleeve | Map Pocket | Mar 100 Pocket | Map Neckline | Mar 100 Neckline | Map Buckle | Mar 100 Buckle | Map Zipper | Mar 100 Zipper | Map Applique | Mar 100 Applique | Map Bead | Mar 100 Bead | Map Bow | Mar 100 Bow | Map Flower | Mar 100 Flower | Map Fringe | Mar 100 Fringe | Map Ribbon | Mar 100 Ribbon | Map Rivet | Mar 100 Rivet | Map Ruffle | Mar 100 Ruffle | Map Sequin | Mar 100 Sequin | Map Tassel | Mar 100 Tassel | 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| 5.6895 | 0.0438 | 50 | 6.3890 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0001 | 0.0009 | 0.001 | 0.0 | 0.0013 | 0.0019 | 0.0 | 0.0 | 0.0004 | 0.039 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 6.3331 | 0.0876 | 100 | 6.1659 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0004 | 0.0016 | 0.0018 | 0.0 | 0.0019 | 0.0037 | 0.0 | 0.0 | 0.0014 | 0.0683 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0007 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 5.5579 | 0.1315 | 150 | 5.7278 | 0.0003 | 0.002 | 0.0 | 0.0005 | 0.0001 | 0.0053 | 0.0008 | 0.0042 | 0.0057 | 0.0005 | 0.0064 | 0.0203 | 0.0 | 0.0 | 0.0039 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0059 | 0.0056 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0021 | 0.0002 | 0.0022 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 5.2219 | 0.1753 | 200 | 5.3784 | 0.0003 | 0.002 | 0.0 | 0.0005 | 0.0001 | 0.0388 | 0.0011 | 0.0043 | 0.0058 | 0.0007 | 0.0074 | 0.0473 | 0.0 | 0.0 | 0.0048 | 0.1805 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0158 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0059 | 0.0056 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0008 | 0.0167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 4.7244 | 0.2191 | 250 | 5.0133 | 0.0001 | 0.0005 | 0.0 | 0.0 | 0.0 | 0.0022 | 0.0008 | 0.0045 | 0.0059 | 0.0003 | 0.0069 | 0.0249 | 0.0 | 0.0 | 0.0046 | 0.1951 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0187 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0021 | 0.0001 | 0.0078 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 4.4979 | 0.2629 | 300 | 4.8280 | 0.0002 | 0.0006 | 0.0 | 0.0 | 0.0001 | 0.0006 | 0.0011 | 0.0047 | 0.0063 | 0.0002 | 0.0097 | 0.0099 | 0.0 | 0.0 | 0.0059 | 0.2049 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0273 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0042 | 0.0001 | 0.0022 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | | 4.7632 | 0.3067 | 350 | 4.6091 | 0.0003 | 0.0009 | 0.0002 | 0.0 | 0.0001 | 0.0015 | 0.0014 | 0.0044 | 0.0062 | 0.0008 | 0.0089 | 0.0092 | 0.0 | 0.0 | 0.0114 | 0.1732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0532 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0021 | 0.0002 | 0.0067 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | 4.9522 | 0.3506 | 400 | 4.5602 | 0.0002 | 0.0012 | 0.0 | 0.0 | 0.0001 | 0.0007 | 0.0006 | 0.0048 | 0.0067 | 0.0005 | 0.0135 | 0.0076 | 0.0 | 0.0 | 0.0069 | 0.1732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0547 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0229 | 0.0001 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | 4.0437 | 0.3944 | 450 | 4.4765 | 0.0004 | 0.0014 | 0.0002 | 0.0 | 0.0001 | 0.0016 | 0.0014 | 0.005 | 0.0069 | 0.0007 | 0.0118 | 0.0092 | 0.0 | 0.0 | 0.014 | 0.1829 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0597 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0167 | 0.0 | 0.0033 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | 4.1306 | 0.4382 | 500 | 4.4538 | 0.0003 | 0.0015 | 0.0002 | 0.0 | 0.0001 | 0.0013 | 0.0013 | 0.0052 | 0.0071 | 0.0007 | 0.0135 | 0.0085 | 0.0 | 0.0 | 0.0118 | 0.1854 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.064 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0167 | 0.0 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ### Framework versions - Transformers 4.53.0 - Pytorch 2.7.1+cu126 - Datasets 3.6.0 - Tokenizers 0.21.2