End of training

README.md

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+---
+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

model.safetensors

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