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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50-dc5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detr-resnet-50-dc5-fashionpedia-finetuned-jw |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# detr-resnet-50-dc5-fashionpedia-finetuned-jw |
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This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 3.4234 |
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- eval_map: 0.0022 |
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- eval_map_50: 0.0063 |
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- eval_map_75: 0.0008 |
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- eval_map_small: 0.0022 |
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- eval_map_medium: 0.003 |
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- eval_map_large: 0.0007 |
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- eval_mar_1: 0.0034 |
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- eval_mar_10: 0.0093 |
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- eval_mar_100: 0.0131 |
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- eval_mar_small: 0.009 |
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- eval_mar_medium: 0.0171 |
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- eval_mar_large: 0.0144 |
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- eval_map_shirt, blouse: 0.0 |
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- eval_mar_100_shirt, blouse: 0.0 |
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- eval_map_top, t-shirt, sweatshirt: 0.0 |
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- eval_mar_100_top, t-shirt, sweatshirt: 0.0 |
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- eval_map_sweater: 0.0 |
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- eval_mar_100_sweater: 0.0 |
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- eval_map_cardigan: 0.0 |
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- eval_mar_100_cardigan: 0.0 |
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- eval_map_jacket: 0.0 |
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- eval_mar_100_jacket: 0.0 |
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- eval_map_vest: 0.0 |
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- eval_mar_100_vest: 0.0 |
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- eval_map_pants: 0.0 |
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- eval_mar_100_pants: 0.0 |
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- eval_map_shorts: 0.0 |
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- eval_mar_100_shorts: 0.0 |
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- eval_map_skirt: 0.0 |
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- eval_mar_100_skirt: 0.0 |
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- eval_map_coat: 0.0 |
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- eval_mar_100_coat: 0.0 |
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- eval_map_dress: 0.0 |
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- eval_mar_100_dress: 0.0 |
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- eval_map_jumpsuit: 0.0 |
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- eval_mar_100_jumpsuit: 0.0 |
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- eval_map_cape: 0.0 |
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- eval_mar_100_cape: 0.0 |
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- eval_map_glasses: 0.0 |
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- eval_mar_100_glasses: 0.0 |
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- eval_map_hat: 0.0 |
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- eval_mar_100_hat: 0.0 |
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- eval_map_headband, head covering, hair accessory: 0.0 |
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- eval_mar_100_headband, head covering, hair accessory: 0.0 |
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- eval_map_tie: 0.0 |
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- eval_mar_100_tie: 0.0 |
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- eval_map_glove: 0.0 |
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- eval_mar_100_glove: 0.0 |
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- eval_map_watch: 0.0 |
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- eval_mar_100_watch: 0.0 |
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- eval_map_belt: 0.0 |
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- eval_mar_100_belt: 0.0 |
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- eval_map_leg warmer: 0.0 |
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- eval_mar_100_leg warmer: 0.0 |
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- eval_map_tights, stockings: 0.0 |
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- eval_mar_100_tights, stockings: 0.0 |
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- eval_map_sock: 0.0 |
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- eval_mar_100_sock: 0.0 |
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- eval_map_shoe: 0.0939 |
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- eval_mar_100_shoe: 0.3148 |
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- eval_map_bag, wallet: 0.0 |
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- eval_mar_100_bag, wallet: 0.0 |
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- eval_map_scarf: 0.0 |
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- eval_mar_100_scarf: 0.0 |
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- eval_map_umbrella: 0.0 |
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- eval_mar_100_umbrella: 0.0 |
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- eval_map_hood: 0.0 |
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- eval_mar_100_hood: 0.0 |
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- eval_map_collar: 0.0 |
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- eval_mar_100_collar: 0.0 |
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- eval_map_lapel: 0.0 |
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- eval_mar_100_lapel: 0.0 |
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- eval_map_epaulette: 0.0 |
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- eval_mar_100_epaulette: 0.0 |
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- eval_map_sleeve: 0.0076 |
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- eval_mar_100_sleeve: 0.2888 |
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- eval_map_pocket: 0.0 |
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- eval_mar_100_pocket: 0.0 |
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- eval_map_neckline: 0.0 |
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- eval_mar_100_neckline: 0.0 |
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- eval_map_buckle: 0.0 |
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- eval_mar_100_buckle: 0.0 |
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- eval_map_zipper: 0.0 |
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- eval_mar_100_zipper: 0.0 |
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- eval_map_applique: 0.0 |
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- eval_mar_100_applique: 0.0 |
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- eval_map_bead: 0.0 |
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- eval_mar_100_bead: 0.0 |
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- eval_map_bow: 0.0 |
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- eval_mar_100_bow: 0.0 |
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- eval_map_flower: 0.0 |
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- eval_mar_100_flower: 0.0 |
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- eval_map_fringe: 0.0 |
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- eval_mar_100_fringe: 0.0 |
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- eval_map_ribbon: 0.0 |
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- eval_mar_100_ribbon: 0.0 |
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- eval_map_rivet: 0.0 |
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- eval_mar_100_rivet: 0.0 |
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- eval_map_ruffle: 0.0 |
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- eval_mar_100_ruffle: 0.0 |
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- eval_map_sequin: 0.0 |
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- eval_mar_100_sequin: 0.0 |
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- eval_map_tassel: 0.0 |
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- eval_mar_100_tassel: 0.0 |
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- eval_runtime: 202.1296 |
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- eval_samples_per_second: 5.729 |
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- eval_steps_per_second: 1.435 |
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- epoch: 0.0482 |
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- step: 550 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 10000 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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