---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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 an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9164
- eval_map: 0.0135
- eval_map_50: 0.0332
- eval_map_75: 0.0009
- eval_map_small: 0.0421
- eval_map_medium: 0.0229
- eval_map_large: 0.0056
- eval_mar_1: 0.0139
- eval_mar_10: 0.0241
- eval_mar_100: 0.0241
- eval_mar_small: 0.0417
- eval_mar_medium: 0.0341
- eval_mar_large: 0.0185
- eval_map_shirt, blouse: 0.0
- eval_mar_100_shirt, blouse: 0.0
- eval_map_top, t-shirt, sweatshirt: 0.0163
- eval_mar_100_top, t-shirt, sweatshirt: 0.1
- eval_map_cardigan: -1.0
- eval_mar_100_cardigan: -1.0
- eval_map_jacket: 0.0
- eval_mar_100_jacket: 0.0
- eval_map_pants: 0.0
- eval_mar_100_pants: 0.0
- eval_map_shorts: 0.0
- eval_mar_100_shorts: 0.0
- eval_map_skirt: 0.0
- eval_mar_100_skirt: 0.0
- eval_map_coat: 0.0
- eval_mar_100_coat: 0.0
- eval_map_dress: 0.0
- eval_mar_100_dress: 0.0
- eval_map_glasses: 0.0
- eval_mar_100_glasses: 0.0
- eval_map_hat: -1.0
- eval_mar_100_hat: -1.0
- eval_map_glove: -1.0
- eval_mar_100_glove: -1.0
- eval_map_belt: -1.0
- eval_mar_100_belt: -1.0
- eval_map_tights, stockings: 0.0
- eval_mar_100_tights, stockings: 0.0
- eval_map_shoe: 0.2259
- eval_mar_100_shoe: 0.3333
- eval_map_bag, wallet: -1.0
- eval_mar_100_bag, wallet: -1.0
- eval_map_scarf: -1.0
- eval_mar_100_scarf: -1.0
- eval_map_umbrella: 0.0
- eval_mar_100_umbrella: 0.0
- eval_map_hood: -1.0
- eval_mar_100_hood: -1.0
- eval_map_collar: 0.0
- eval_mar_100_collar: 0.0
- eval_map_lapel: 0.0
- eval_mar_100_lapel: 0.0
- eval_map_sleeve: 0.0
- eval_mar_100_sleeve: 0.0
- eval_map_pocket: 0.0
- eval_mar_100_pocket: 0.0
- eval_map_neckline: 0.0
- eval_mar_100_neckline: 0.0
- eval_map_buckle: -1.0
- eval_mar_100_buckle: -1.0
- eval_map_zipper: 0.0
- eval_mar_100_zipper: 0.0
- eval_map_fringe: -1.0
- eval_mar_100_fringe: -1.0
- eval_map_ribbon: -1.0
- eval_mar_100_ribbon: -1.0
- eval_map_rivet: -1.0
- eval_mar_100_rivet: -1.0
- eval_map_tassel: -1.0
- eval_mar_100_tassel: -1.0
- eval_runtime: 1.7311
- eval_samples_per_second: 6.354
- eval_steps_per_second: 1.733
- epoch: 1.3158
- step: 150

## 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 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: 10000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.46.3
- Pytorch 1.12.1+cu116
- Datasets 3.1.0
- Tokenizers 0.20.3