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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_v3
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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_v3
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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: 1.9705
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- Map: 0.0365
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- Map 50: 0.0659
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- Map 75: 0.0314
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- Map Small: 0.0246
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- Map Medium: 0.0509
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- Map Large: 0.0322
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- Mar 1: 0.0971
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- Mar 10: 0.1951
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- Mar 100: 0.254
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- Mar Small: 0.159
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- Mar Medium: 0.2148
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- Mar Large: 0.2409
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- Map Coverall: 0.1365
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- Mar 100 Coverall: 0.7359
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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: 0.0185
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- Mar 100 Gloves: 0.2527
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- Map Goggles: 0.0
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- Mar 100 Goggles: 0.0
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- Map Mask: 0.0273
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- Mar 100 Mask: 0.2812
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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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| 2.7292 | 1.0 | 113 | 2.1368 | 0.0256 | 0.0501 | 0.0217 | 0.0132 | 0.0493 | 0.0237 | 0.0661 | 0.1598 | 0.2091 | 0.1032 | 0.1797 | 0.2083 | 0.0946 | 0.6393 | 0.0 | 0.0 | 0.0091 | 0.1759 | 0.0 | 0.0 | 0.0244 | 0.2305 |
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| 2.1942 | 2.0 | 226 | 1.9705 | 0.0365 | 0.0659 | 0.0314 | 0.0246 | 0.0509 | 0.0322 | 0.0971 | 0.1951 | 0.254 | 0.159 | 0.2148 | 0.2409 | 0.1365 | 0.7359 | 0.0 | 0.0 | 0.0185 | 0.2527 | 0.0 | 0.0 | 0.0273 | 0.2812 |
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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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