---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-r50-mist1-bg-8ah-4l
  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-r50-mist1-bg-8ah-4l

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: 2.9274

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4466        | 1.0   | 115  | 3.8127          |
| 3.85          | 2.0   | 230  | 3.8636          |
| 3.8198        | 3.0   | 345  | 3.6179          |
| 3.6799        | 4.0   | 460  | 3.4558          |
| 3.5806        | 5.0   | 575  | 3.2328          |
| 3.4958        | 6.0   | 690  | 3.3407          |
| 3.4662        | 7.0   | 805  | 3.1567          |
| 3.4295        | 8.0   | 920  | 3.0499          |
| 3.3977        | 9.0   | 1035 | 3.0460          |
| 3.3853        | 10.0  | 1150 | 3.0481          |
| 3.3608        | 11.0  | 1265 | 3.0337          |
| 3.2873        | 12.0  | 1380 | 3.0535          |
| 3.3164        | 13.0  | 1495 | 3.0140          |
| 3.2745        | 14.0  | 1610 | 3.0667          |
| 3.2691        | 15.0  | 1725 | 3.0134          |
| 3.2735        | 16.0  | 1840 | 3.0207          |
| 3.2718        | 17.0  | 1955 | 3.0004          |
| 3.2504        | 18.0  | 2070 | 3.1082          |
| 3.243         | 19.0  | 2185 | 2.9369          |
| 3.1669        | 20.0  | 2300 | 2.9596          |
| 3.1844        | 21.0  | 2415 | 2.9170          |
| 3.1979        | 22.0  | 2530 | 2.9344          |
| 3.1702        | 23.0  | 2645 | 2.9262          |
| 3.1738        | 24.0  | 2760 | 2.9251          |
| 3.1606        | 25.0  | 2875 | 2.9274          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1