---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r50-cd45rb-8ah-4l-corrected
  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-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: 1.8325

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0619        | 1.0   | 4606  | 2.1934          |
| 2.6954        | 2.0   | 9212  | 2.0490          |
| 2.5695        | 3.0   | 13818 | 1.9843          |
| 2.518         | 4.0   | 18424 | 1.9648          |
| 2.4652        | 5.0   | 23030 | 1.9354          |
| 2.4235        | 6.0   | 27636 | 1.9127          |
| 2.3947        | 7.0   | 32242 | 1.8715          |
| 2.369         | 8.0   | 36848 | 1.8564          |
| 2.3542        | 9.0   | 41454 | 1.8511          |
| 2.3407        | 10.0  | 46060 | 1.8325          |


### Framework versions

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