---
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: 1.9677
- Map: 0.0546
- Map 50: 0.103
- Map 75: 0.0504
- Map Small: 0.0092
- Map Medium: 0.0513
- Map Large: 0.053
- Mar 1: 0.099
- Mar 10: 0.2024
- Mar 100: 0.2506
- Mar Small: 0.1343
- Mar Medium: 0.1925
- Mar Large: 0.2414
- Map Coverall: 0.233
- Mar 100 Coverall: 0.7017
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0047
- Mar 100 Gloves: 0.2792
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0352
- Mar 100 Mask: 0.272

## 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  | 2.0994          | 0.0445 | 0.0869 | 0.04   | 0.0045    | 0.0347     | 0.0464    | 0.0794 | 0.1672 | 0.2137  | 0.0881    | 0.1491     | 0.221     | 0.199        | 0.6589           | 0.0             | 0.0                 | 0.0019     | 0.2107         | 0.0         | 0.0             | 0.0217   | 0.1989       |
| No log        | 2.0   | 214  | 1.9677          | 0.0546 | 0.103  | 0.0504 | 0.0092    | 0.0513     | 0.053     | 0.099  | 0.2024 | 0.2506  | 0.1343    | 0.1925     | 0.2414    | 0.233        | 0.7017           | 0.0             | 0.0                 | 0.0047     | 0.2792         | 0.0         | 0.0             | 0.0352   | 0.272        |


### Framework versions

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