---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50_finetuned_cppe5_v3
  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_v3

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: 1.9705
- Map: 0.0365
- Map 50: 0.0659
- Map 75: 0.0314
- Map Small: 0.0246
- Map Medium: 0.0509
- Map Large: 0.0322
- Mar 1: 0.0971
- Mar 10: 0.1951
- Mar 100: 0.254
- Mar Small: 0.159
- Mar Medium: 0.2148
- Mar Large: 0.2409
- Map Coverall: 0.1365
- Mar 100 Coverall: 0.7359
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0185
- Mar 100 Gloves: 0.2527
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0273
- Mar 100 Mask: 0.2812

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| 2.7292        | 1.0   | 113  | 2.1368          | 0.0256 | 0.0501 | 0.0217 | 0.0132    | 0.0493     | 0.0237    | 0.0661 | 0.1598 | 0.2091  | 0.1032    | 0.1797     | 0.2083    | 0.0946       | 0.6393           | 0.0             | 0.0                 | 0.0091     | 0.1759         | 0.0         | 0.0             | 0.0244   | 0.2305       |
| 2.1942        | 2.0   | 226  | 1.9705          | 0.0365 | 0.0659 | 0.0314 | 0.0246    | 0.0509     | 0.0322    | 0.0971 | 0.1951 | 0.254   | 0.159     | 0.2148     | 0.2409    | 0.1365       | 0.7359           | 0.0             | 0.0                 | 0.0185     | 0.2527         | 0.0         | 0.0             | 0.0273   | 0.2812       |


### Framework versions

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