---
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