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

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: 0.9448

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6853        | 0.32  | 50   | 1.8717          |
| 1.6419        | 0.64  | 100  | 1.4752          |
| 1.4029        | 0.96  | 150  | 1.2728          |
| 1.2596        | 1.27  | 200  | 1.1683          |
| 1.1761        | 1.59  | 250  | 1.0847          |
| 1.106         | 1.91  | 300  | 1.0396          |
| 1.0586        | 2.23  | 350  | 0.9886          |
| 1.0258        | 2.55  | 400  | 0.9653          |
| 1.0151        | 2.87  | 450  | 0.9448          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2