---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-r50-mist1-bg-2ah-6l
  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-2ah-6l

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: 3.9051

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.6721        | 1.0   | 115  | 5.0032          |
| 4.4438        | 2.0   | 230  | 4.6797          |
| 4.2953        | 3.0   | 345  | 4.7027          |
| 4.3899        | 4.0   | 460  | 5.4316          |
| 4.3184        | 5.0   | 575  | 4.4125          |
| 4.2749        | 6.0   | 690  | 4.1611          |
| 4.2153        | 7.0   | 805  | 4.6723          |
| 4.0788        | 8.0   | 920  | 4.1266          |
| 4.0752        | 9.0   | 1035 | 4.0529          |
| 4.0073        | 10.0  | 1150 | 4.4483          |
| 4.011         | 11.0  | 1265 | 4.2002          |
| 3.9993        | 12.0  | 1380 | 4.2450          |
| 4.0028        | 13.0  | 1495 | 4.1703          |
| 3.9572        | 14.0  | 1610 | 4.1861          |
| 3.9009        | 15.0  | 1725 | 4.0285          |
| 3.9173        | 16.0  | 1840 | 4.0673          |
| 3.8884        | 17.0  | 1955 | 3.9875          |
| 3.8415        | 18.0  | 2070 | 4.1062          |
| 3.8132        | 19.0  | 2185 | 4.0494          |
| 3.8297        | 20.0  | 2300 | 4.0119          |
| 3.8262        | 21.0  | 2415 | 3.9538          |
| 3.8045        | 22.0  | 2530 | 3.9500          |
| 3.8067        | 23.0  | 2645 | 3.9264          |
| 3.7651        | 24.0  | 2760 | 3.8820          |
| 3.756         | 25.0  | 2875 | 3.9051          |


### Framework versions

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