---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- object-detection
- vision
- generated_from_trainer
model-index:
- name: detr-resnet-50-base-coco
  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-base-coco

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the detection-datasets/coco dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2641

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 5.5331          |
| No log        | 2.0   | 8    | 5.5277          |
| 5.4377        | 3.0   | 12   | 5.4450          |
| 5.4377        | 4.0   | 16   | 5.3960          |
| 5.1582        | 5.0   | 20   | 5.3349          |
| 5.1582        | 6.0   | 24   | 5.3144          |
| 5.1582        | 7.0   | 28   | 5.2738          |
| 5.0556        | 8.0   | 32   | 5.2641          |
| 5.0556        | 9.0   | 36   | 5.2848          |
| 4.9784        | 10.0  | 40   | 5.2792          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3