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---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50_finetuned-cppe5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned-cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0634
- Map: 0.0322
- Map 50: 0.0667
- Map 75: 0.0283
- Map Small: 0.0054
- Map Medium: 0.0151
- Map Large: 0.04
- Mar 1: 0.0872
- Mar 10: 0.1999
- Mar 100: 0.2514
- Mar Small: 0.1233
- Mar Medium: 0.222
- Mar Large: 0.2663
- Map Coverall: 0.1354
- Mar 100 Coverall: 0.6728
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0147
- Mar 100 Gloves: 0.2185
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0109
- Mar 100 Mask: 0.3656
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| No log | 1.0 | 107 | 2.1727 | 0.0118 | 0.0291 | 0.0091 | 0.0052 | 0.004 | 0.0209 | 0.0375 | 0.1434 | 0.2106 | 0.0949 | 0.161 | 0.2354 | 0.0441 | 0.6311 | 0.0001 | 0.0065 | 0.0069 | 0.0961 | 0.0 | 0.0 | 0.0077 | 0.3196 |
| No log | 2.0 | 214 | 2.0634 | 0.0322 | 0.0667 | 0.0283 | 0.0054 | 0.0151 | 0.04 | 0.0872 | 0.1999 | 0.2514 | 0.1233 | 0.222 | 0.2663 | 0.1354 | 0.6728 | 0.0 | 0.0 | 0.0147 | 0.2185 | 0.0 | 0.0 | 0.0109 | 0.3656 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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