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

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: 1.1673

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 22

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8638        | 1.0   | 375  | 1.7503          |
| 1.6596        | 2.0   | 750  | 1.5301          |
| 1.5249        | 3.0   | 1125 | 1.4235          |
| 1.4242        | 4.0   | 1500 | 1.3329          |
| 1.4742        | 5.0   | 1875 | 1.2970          |
| 1.4456        | 6.0   | 2250 | 1.2932          |
| 1.3141        | 7.0   | 2625 | 1.2498          |
| 1.324         | 8.0   | 3000 | 1.2866          |
| 1.2409        | 9.0   | 3375 | 1.2176          |
| 1.2627        | 10.0  | 3750 | 1.2144          |
| 1.2766        | 11.0  | 4125 | 1.2022          |
| 1.1991        | 12.0  | 4500 | 1.2160          |
| 1.2742        | 13.0  | 4875 | 1.1897          |
| 1.1589        | 14.0  | 5250 | 1.1766          |
| 1.2242        | 15.0  | 5625 | 1.1663          |
| 1.1877        | 16.0  | 6000 | 1.1514          |
| 1.1424        | 17.0  | 6375 | 1.1267          |
| 1.0781        | 18.0  | 6750 | 1.1135          |
| 1.1314        | 19.0  | 7125 | 1.1248          |
| 1.1174        | 20.0  | 7500 | 1.1034          |
| 1.0465        | 21.0  | 7875 | 1.1073          |
| 1.1111        | 22.0  | 8250 | 1.1166          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1