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README.md
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---
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license: apache-2.0
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base_model: facebook/detr-resnet-50
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tags:
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- object-detection
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- vision
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model-index:
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- name: detr-resnet-50-finetuned-10k-cppe5-no-trainer
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results: []
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datasets:
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- cppe-5
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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-finetuned-10k-cppe5
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cppe-5 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9865
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- Map: 0.3192
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- Map 50: 0.6187
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- Map 75: 0.3039
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- Map small: 0.271
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- Map medium: 0.2307
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- Map large: 0.4635
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- Mar 1: 0.2947
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- Mar 10: 0.4873
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- Mar 100: 0.5005
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- Mar small: 0.3421
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- Mar medium: 0.4012
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- Mar large: 0.6176
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- Map Coverall: 0.5908
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- Mar 100 Coverall: 0.6978
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- Map Face Shield: 0.3773
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- Mar 100 Face Shield: 0.6353
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- Map Gloves: 0.2142
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- Mar 100 Gloves: 0.3902
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- Map Goggles: 0.1483
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- Mar 100 Goggles: 0.3906
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- Map Mask: 0.2653
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- Mar 100 Mask: 0.3880
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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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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- num_epochs: 100.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.18.0
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- Tokenizers 0.19.0
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