---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
base_model: facebook/detr-resnet-50
model-index:
- name: detr-r50-cd45rb-8ah-4l-1cost
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# detr-r50-cd45rb-8ah-4l-1cost

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0859

## 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-06
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7758        | 1.0   | 4606  | 1.3048          |
| 1.6314        | 2.0   | 9212  | 1.2281          |
| 1.5709        | 3.0   | 13818 | 1.1944          |
| 1.5368        | 4.0   | 18424 | 1.1702          |
| 1.5132        | 5.0   | 23030 | 1.1497          |
| 1.4929        | 6.0   | 27636 | 1.1419          |
| 1.4803        | 7.0   | 32242 | 1.1298          |
| 1.4703        | 8.0   | 36848 | 1.1246          |
| 1.4655        | 9.0   | 41454 | 1.1222          |
| 1.4625        | 10.0  | 46060 | 1.1222          |
| 1.4579        | 11.0  | 50666 | 1.1178          |
| 1.4529        | 12.0  | 55272 | 1.1086          |
| 1.4397        | 13.0  | 59878 | 1.1034          |
| 1.4366        | 14.0  | 64484 | 1.0990          |
| 1.425         | 15.0  | 69090 | 1.0943          |
| 1.4252        | 16.0  | 73696 | 1.0912          |
| 1.4215        | 17.0  | 78302 | 1.0881          |
| 1.4188        | 18.0  | 82908 | 1.0875          |
| 1.4133        | 19.0  | 87514 | 1.0870          |
| 1.4152        | 20.0  | 92120 | 1.0859          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3