---
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: 2.0411
- Map: 0.0466
- Map 50: 0.09
- Map 75: 0.0422
- Map Small: 0.0078
- Map Medium: 0.0211
- Map Large: 0.0521
- Mar 1: 0.0896
- Mar 10: 0.1876
- Mar 100: 0.2364
- Mar Small: 0.127
- Mar Medium: 0.1881
- Mar Large: 0.2352
- Map Coverall: 0.1967
- Mar 100 Coverall: 0.6567
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0138
- Mar 100 Gloves: 0.2483
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0224
- Mar 100 Mask: 0.2772

## 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  | 2.2595          | 0.0312 | 0.0732 | 0.0242 | 0.0028    | 0.021      | 0.0329    | 0.0605 | 0.1486 | 0.1888  | 0.092     | 0.1638     | 0.1683    | 0.1421       | 0.5294           | 0.0             | 0.0                 | 0.0041     | 0.1848         | 0.0         | 0.0             | 0.0099   | 0.2296       |
| No log        | 2.0   | 214  | 2.0411          | 0.0466 | 0.09   | 0.0422 | 0.0078    | 0.0211     | 0.0521    | 0.0896 | 0.1876 | 0.2364  | 0.127     | 0.1881     | 0.2352    | 0.1967       | 0.6567           | 0.0             | 0.0                 | 0.0138     | 0.2483         | 0.0         | 0.0             | 0.0224   | 0.2772       |


### Framework versions

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