---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50-dc5
tags:
- generated_from_trainer
model-index:
- name: detr-kids-and-adults-detection-finetuned
  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-kids-and-adults-detection-finetuned

This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7496
- Map: 0.0043
- Map 50: 0.0096
- Map 75: 0.0039
- Map Small: -1.0
- Map Medium: 0.0051
- Map Large: 0.0073
- Mar 1: 0.0175
- Mar 10: 0.0983
- Mar 100: 0.3165
- Mar Small: -1.0
- Mar Medium: 0.5364
- Mar Large: 0.3035
- Map Kid: 0.0029
- Mar 100 Kid: 0.2694
- Map Adult: 0.0056
- Mar 100 Adult: 0.3636

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP

### 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 Kid | Mar 100 Kid | Map Adult | Mar 100 Adult |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------:|:-----------:|:---------:|:-------------:|
| 1.9155        | 0.1852 | 20   | 1.8038          | 0.0047 | 0.0101 | 0.005  | -1.0      | 0.0035     | 0.0071    | 0.0332 | 0.1231 | 0.3206  | -1.0      | 0.4545     | 0.3067    | 0.0013  | 0.1685      | 0.0081    | 0.4727        |
| 1.8395        | 0.3704 | 40   | 1.7979          | 0.0045 | 0.0107 | 0.0035 | -1.0      | 0.0042     | 0.0072    | 0.0223 | 0.1147 | 0.3081  | -1.0      | 0.4909     | 0.2926    | 0.0014  | 0.1726      | 0.0076    | 0.4436        |
| 1.8477        | 0.5556 | 60   | 1.7656          | 0.0046 | 0.0107 | 0.0041 | -1.0      | 0.0044     | 0.0077    | 0.0329 | 0.1148 | 0.3276  | -1.0      | 0.5091     | 0.3137    | 0.002   | 0.2242      | 0.0072    | 0.4309        |
| 1.66          | 0.7407 | 80   | 1.7440          | 0.0044 | 0.0098 | 0.0039 | -1.0      | 0.0049     | 0.0076    | 0.0256 | 0.1029 | 0.3266  | -1.0      | 0.5182     | 0.3137    | 0.0026  | 0.2532      | 0.0062    | 0.4           |
| 2.0088        | 0.9259 | 100  | 1.7496          | 0.0043 | 0.0096 | 0.0039 | -1.0      | 0.0051     | 0.0073    | 0.0175 | 0.0983 | 0.3165  | -1.0      | 0.5364     | 0.3035    | 0.0029  | 0.2694      | 0.0056    | 0.3636        |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0