---
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: 1.9388
- Map: 0.0646
- Map 50: 0.115
- Map 75: 0.0653
- Map Small: 0.0067
- Map Medium: 0.0637
- Map Large: 0.0632
- Mar 1: 0.0913
- Mar 10: 0.2065
- Mar 100: 0.2581
- Mar Small: 0.1571
- Mar Medium: 0.2236
- Mar Large: 0.2439
- Map Coverall: 0.2825
- Mar 100 Coverall: 0.6822
- Map Face Shield: 0.0069
- Mar 100 Face Shield: 0.0113
- Map Gloves: 0.0224
- Mar 100 Gloves: 0.2854
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.011
- Mar 100 Mask: 0.3116

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| 2.6043        | 1.0   | 107  | 2.0664          | 0.0555 | 0.0964 | 0.0513 | 0.0042    | 0.0444     | 0.0583    | 0.0737 | 0.1675 | 0.235   | 0.1427    | 0.199      | 0.2195    | 0.261        | 0.6383           | 0.0007          | 0.0097              | 0.0101     | 0.2382         | 0.0         | 0.0             | 0.0059   | 0.2889       |
| 2.077         | 2.0   | 214  | 1.9388          | 0.0646 | 0.115  | 0.0653 | 0.0067    | 0.0637     | 0.0632    | 0.0913 | 0.2065 | 0.2581  | 0.1571    | 0.2236     | 0.2439    | 0.2825       | 0.6822           | 0.0069          | 0.0113              | 0.0224     | 0.2854         | 0.0         | 0.0             | 0.011    | 0.3116       |


### Framework versions

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