---
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: 1.9955
- Map: 0.0411
- Map 50: 0.0772
- Map 75: 0.039
- Map Small: 0.0115
- Map Medium: 0.0697
- Map Large: 0.0393
- Mar 1: 0.1019
- Mar 10: 0.1856
- Mar 100: 0.2512
- Mar Small: 0.1753
- Mar Medium: 0.198
- Mar Large: 0.2287
- Map Coverall: 0.1697
- Mar 100 Coverall: 0.7308
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0142
- Mar 100 Gloves: 0.2446
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0219
- Mar 100 Mask: 0.2805

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| 2.5336        | 1.0   | 113  | 2.0865          | 0.0339 | 0.0619 | 0.0331 | 0.0065    | 0.0165     | 0.037     | 0.0787 | 0.1585 | 0.2087  | 0.0948    | 0.1537     | 0.2152    | 0.1504       | 0.6957           | 0.0             | 0.0                 | 0.0028     | 0.1125         | 0.0         | 0.0             | 0.0165   | 0.2352       |
| 2.1741        | 2.0   | 226  | 1.9955          | 0.0411 | 0.0772 | 0.039  | 0.0115    | 0.0697     | 0.0393    | 0.1019 | 0.1856 | 0.2512  | 0.1753    | 0.198      | 0.2287    | 0.1697       | 0.7308           | 0.0             | 0.0                 | 0.0142     | 0.2446         | 0.0         | 0.0             | 0.0219   | 0.2805       |


### Framework versions

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