---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r50-cd45rb-all-4ah
  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-all-4ah

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: 1.5882

## 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: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4171        | 1.0   | 2303  | 1.8410          |
| 2.1862        | 2.0   | 4606  | 1.7627          |
| 2.1252        | 3.0   | 6909  | 1.7529          |
| 2.1065        | 4.0   | 9212  | 1.7416          |
| 2.0764        | 5.0   | 11515 | 1.6991          |
| 2.051         | 6.0   | 13818 | 1.6863          |
| 2.039         | 7.0   | 16121 | 1.6824          |
| 2.0266        | 8.0   | 18424 | 1.6706          |
| 2.0177        | 9.0   | 20727 | 1.6724          |
| 2.006         | 10.0  | 23030 | 1.6439          |
| 1.9853        | 11.0  | 25333 | 1.6503          |
| 1.9794        | 12.0  | 27636 | 1.6337          |
| 1.9676        | 13.0  | 29939 | 1.6213          |
| 1.9646        | 14.0  | 32242 | 1.6213          |
| 1.9551        | 15.0  | 34545 | 1.6144          |
| 1.9448        | 16.0  | 36848 | 1.6081          |
| 1.9347        | 17.0  | 39151 | 1.5986          |
| 1.9287        | 18.0  | 41454 | 1.5924          |
| 1.9177        | 19.0  | 43757 | 1.5907          |
| 1.9216        | 20.0  | 46060 | 1.5882          |


### Framework versions

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