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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
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tags:
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- generated_from_trainer
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model-index:
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- name: detr-finetuned-cppe-5-10k-steps
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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-finetuned-cppe-5-10k-steps
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0867
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- Map: 0.0493
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- Map 50: 0.1064
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- Map 75: 0.0379
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- Map Small: 0.0072
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- Map Medium: 0.0304
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- Map Large: 0.0574
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- Mar 1: 0.0805
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- Mar 10: 0.1667
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- Mar 100: 0.2069
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- Mar Small: 0.073
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- Mar Medium: 0.1572
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- Mar Large: 0.2325
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- Map Coverall: 0.1978
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- Mar 100 Coverall: 0.5874
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- Map Face Shield: 0.0
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- Mar 100 Face Shield: 0.0
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- Map Gloves: 0.0253
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- Mar 100 Gloves: 0.204
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- Map Goggles: 0.0
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- Mar 100 Goggles: 0.0
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- Map Mask: 0.0236
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- Mar 100 Mask: 0.2431
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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: 4
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- eval_batch_size: 8
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- seed: 1337
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2.0
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- mixed_precision_training: Native AMP
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### Training results
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| 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
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| 2.5499 | 1.0 | 213 | 2.3248 | 0.0367 | 0.0798 | 0.0325 | 0.0018 | 0.0114 | 0.0417 | 0.0555 | 0.1278 | 0.1648 | 0.0416 | 0.1044 | 0.2026 | 0.1697 | 0.5104 | 0.0 | 0.0 | 0.0078 | 0.1813 | 0.0 | 0.0 | 0.0058 | 0.1324 |
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| 2.1119 | 2.0 | 426 | 2.0867 | 0.0493 | 0.1064 | 0.0379 | 0.0072 | 0.0304 | 0.0574 | 0.0805 | 0.1667 | 0.2069 | 0.073 | 0.1572 | 0.2325 | 0.1978 | 0.5874 | 0.0 | 0.0 | 0.0253 | 0.204 | 0.0 | 0.0 | 0.0236 | 0.2431 |
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### Framework versions
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- Transformers 4.52.0.dev0
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- Pytorch 2.7.0+cu118
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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