---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r50-cd45rb-8ah-6l-gelu-corrected
  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-cd45rb-8ah-6l-gelu-corrected

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5992

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0438        | 1.0   | 4606  | 1.9413          |
| 2.3933        | 2.0   | 9212  | 1.8238          |
| 2.2782        | 3.0   | 13818 | 1.7718          |
| 2.2383        | 4.0   | 18424 | 1.7528          |
| 2.2046        | 5.0   | 23030 | 1.7265          |
| 2.1659        | 6.0   | 27636 | 1.7125          |
| 2.1457        | 7.0   | 32242 | 1.6760          |
| 2.1111        | 8.0   | 36848 | 1.6622          |
| 2.0959        | 9.0   | 41454 | 1.6467          |
| 2.0826        | 10.0  | 46060 | 1.6392          |
| 2.1132        | 11.0  | 50666 | 1.6875          |
| 2.1145        | 12.0  | 55272 | 1.6863          |
| 2.0947        | 13.0  | 59878 | 1.6528          |
| 2.0777        | 14.0  | 64484 | 1.6669          |
| 2.0551        | 15.0  | 69090 | 1.6241          |
| 2.0567        | 16.0  | 73696 | 1.6241          |
| 2.042         | 17.0  | 78302 | 1.6171          |
| 2.0306        | 18.0  | 82908 | 1.6062          |
| 2.015         | 19.0  | 87514 | 1.5989          |
| 2.0084        | 20.0  | 92120 | 1.5992          |


### Framework versions

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