---
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: 0.8756

## 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: 16
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7508        | 0.16  | 300  | 1.7472          |
| 1.412         | 0.32  | 600  | 1.3611          |
| 1.2549        | 0.48  | 900  | 1.1682          |
| 1.0701        | 0.64  | 1200 | 1.0696          |
| 0.9812        | 0.8   | 1500 | 1.0103          |
| 1.0346        | 0.96  | 1800 | 0.9782          |
| 1.014         | 1.12  | 2100 | 0.9429          |
| 0.9691        | 1.28  | 2400 | 0.9248          |
| 0.9749        | 1.44  | 2700 | 0.8947          |
| 0.9707        | 1.6   | 3000 | 0.8887          |
| 0.938         | 1.76  | 3300 | 0.8889          |
| 0.9477        | 1.92  | 3600 | 0.8756          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2