---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
base_model: facebook/detr-resnet-50
model-index:
- name: detr-r50-cd45rb-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-cd45rb-8ah-6l

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: 1.5794

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.4794        | 1.0   | 4606   | 1.8245          |
| 2.2469        | 2.0   | 9212   | 1.7593          |
| 2.1817        | 3.0   | 13818  | 1.7109          |
| 2.1418        | 4.0   | 18424  | 1.6976          |
| 2.118         | 5.0   | 23030  | 1.6695          |
| 2.1237        | 6.0   | 27636  | 1.6781          |
| 2.1025        | 7.0   | 32242  | 1.6574          |
| 2.0796        | 8.0   | 36848  | 1.6418          |
| 2.0672        | 9.0   | 41454  | 1.6333          |
| 2.0597        | 10.0  | 46060  | 1.6313          |
| 2.0948        | 11.0  | 50666  | 1.6546          |
| 2.0943        | 12.0  | 55272  | 1.6905          |
| 2.0819        | 13.0  | 59878  | 1.6430          |
| 2.0795        | 14.0  | 64484  | 1.6439          |
| 2.0566        | 15.0  | 69090  | 1.6449          |
| 2.0435        | 16.0  | 73696  | 1.6204          |
| 2.0375        | 17.0  | 78302  | 1.6195          |
| 2.032         | 18.0  | 82908  | 1.6128          |
| 2.0079        | 19.0  | 87514  | 1.6082          |
| 1.9985        | 20.0  | 92120  | 1.6037          |
| 1.9976        | 21.0  | 96726  | 1.6005          |
| 1.9887        | 22.0  | 101332 | 1.5969          |
| 1.9841        | 23.0  | 105938 | 1.5841          |
| 1.9763        | 24.0  | 110544 | 1.5826          |
| 1.9686        | 25.0  | 115150 | 1.5794          |


### Framework versions

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