---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-r50-mist1-bg-8ah-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-8ah-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: 2.1031

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6794        | 1.0   | 115  | 2.8222          |
| 3.0269        | 2.0   | 230  | 2.8120          |
| 2.8681        | 3.0   | 345  | 2.7980          |
| 2.752         | 4.0   | 460  | 2.4853          |
| 2.7715        | 5.0   | 575  | 2.4140          |
| 2.6846        | 6.0   | 690  | 2.4715          |
| 2.6236        | 7.0   | 805  | 2.4614          |
| 2.5318        | 8.0   | 920  | 2.3441          |
| 2.5224        | 9.0   | 1035 | 2.2837          |
| 2.4661        | 10.0  | 1150 | 2.2510          |
| 2.4313        | 11.0  | 1265 | 2.3339          |
| 2.4125        | 12.0  | 1380 | 2.2957          |
| 2.4113        | 13.0  | 1495 | 2.2358          |
| 2.3784        | 14.0  | 1610 | 2.2635          |
| 2.3199        | 15.0  | 1725 | 2.2320          |
| 2.3321        | 16.0  | 1840 | 2.2250          |
| 2.3305        | 17.0  | 1955 | 2.2020          |
| 2.2932        | 18.0  | 2070 | 2.1826          |
| 2.2952        | 19.0  | 2185 | 2.1626          |
| 2.2663        | 20.0  | 2300 | 2.1573          |
| 2.2916        | 21.0  | 2415 | 2.1653          |
| 2.2703        | 22.0  | 2530 | 2.1444          |
| 2.2431        | 23.0  | 2645 | 2.1374          |
| 2.2243        | 24.0  | 2760 | 2.1276          |
| 2.2413        | 25.0  | 2875 | 2.1031          |


### Framework versions

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