---
license: apache-2.0
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: 1.1718

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5147        | 0.1   | 32   | 2.4506          |
| 2.1248        | 0.2   | 64   | 1.9658          |
| 1.8119        | 0.31  | 96   | 1.6541          |
| 1.5421        | 0.41  | 128  | 1.4391          |
| 1.4124        | 0.51  | 160  | 1.3225          |
| 1.3227        | 0.61  | 192  | 1.2518          |
| 1.2811        | 0.72  | 224  | 1.2108          |
| 1.2499        | 0.82  | 256  | 1.1863          |
| 1.2102        | 0.92  | 288  | 1.1718          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3