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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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- generated_from_trainer
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model-index:
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- name: detr-resnet-50_finetuned_cppe5
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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_finetuned_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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9955
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- Map: 0.0411
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- Map 50: 0.0772
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- Map 75: 0.039
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- Map Small: 0.0115
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- Map Medium: 0.0697
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- Map Large: 0.0393
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- Mar 1: 0.1019
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- Mar 10: 0.1856
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- Mar 100: 0.2512
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- Mar Small: 0.1753
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- Mar Medium: 0.198
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- Mar Large: 0.2287
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- Map Coverall: 0.1697
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- Mar 100 Coverall: 0.7308
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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: 0.0142
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- Mar 100 Gloves: 0.2446
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- Map Goggles: 0.0
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- Mar 100 Goggles: 0.0
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- Map Mask: 0.0219
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- Mar 100 Mask: 0.2805
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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: 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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- num_epochs: 2
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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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| 2.5336 | 1.0 | 113 | 2.0865 | 0.0339 | 0.0619 | 0.0331 | 0.0065 | 0.0165 | 0.037 | 0.0787 | 0.1585 | 0.2087 | 0.0948 | 0.1537 | 0.2152 | 0.1504 | 0.6957 | 0.0 | 0.0 | 0.0028 | 0.1125 | 0.0 | 0.0 | 0.0165 | 0.2352 |
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| 2.1741 | 2.0 | 226 | 1.9955 | 0.0411 | 0.0772 | 0.039 | 0.0115 | 0.0697 | 0.0393 | 0.1019 | 0.1856 | 0.2512 | 0.1753 | 0.198 | 0.2287 | 0.1697 | 0.7308 | 0.0 | 0.0 | 0.0142 | 0.2446 | 0.0 | 0.0 | 0.0219 | 0.2805 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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