---
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: 1.8017
- Map: 0.047
- Map 50: 0.0888
- Map 75: 0.0427
- Map Small: 0.0067
- Map Medium: 0.034
- Map Large: 0.0524
- Mar 1: 0.1182
- Mar 10: 0.225
- Mar 100: 0.2678
- Mar Small: 0.1479
- Mar Medium: 0.2094
- Mar Large: 0.2727
- Map Coverall: 0.1803
- Mar 100 Coverall: 0.7033
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.022
- Mar 100 Gloves: 0.282
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0326
- Mar 100 Mask: 0.3534

## 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  | 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       |
| 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       |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1