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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: 1.8017
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- Map: 0.047
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- Map 50: 0.0888
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- Map 75: 0.0427
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- Map Small: 0.0067
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- Map Medium: 0.034
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- Map Large: 0.0524
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- Mar 1: 0.1182
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- Mar 10: 0.225
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- Mar 100: 0.2678
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- Mar Small: 0.1479
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- Mar Medium: 0.2094
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- Mar Large: 0.2727
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- Map Coverall: 0.1803
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- Mar 100 Coverall: 0.7033
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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: 0.022
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- Mar 100 Gloves: 0.282
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- Map Goggles: 0.0
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- Mar 100 Goggles: 0.0
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- Map Mask: 0.0326
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- Mar 100 Mask: 0.3534
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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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| No log | 1.0 | 107 | 1.8852 | 0.0427 | 0.0861 | 0.037 | 0.0077 | 0.0297 | 0.0465 | 0.1018 | 0.2043 | 0.2509 | 0.1371 | 0.1959 | 0.257 | 0.1722 | 0.6939 | 0.0 | 0.0 | 0.0125 | 0.2 | 0.0 | 0.0 | 0.0286 | 0.3608 |
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| No log | 2.0 | 214 | 1.8017 | 0.047 | 0.0888 | 0.0427 | 0.0067 | 0.034 | 0.0524 | 0.1182 | 0.225 | 0.2678 | 0.1479 | 0.2094 | 0.2727 | 0.1803 | 0.7033 | 0.0 | 0.0 | 0.022 | 0.282 | 0.0 | 0.0 | 0.0326 | 0.3534 |
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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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