---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb_nan
model-index:
- name: detr-r50-cd45rb-8ah-4l-f-c
  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-f-c

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb_nan dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9492

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9191        | 1.0   | 4606  | 1.2037          |
| 1.5088        | 2.0   | 9212  | 1.0928          |
| 1.4004        | 3.0   | 13818 | 1.0352          |
| 1.3481        | 4.0   | 18424 | 1.0200          |
| 1.3104        | 5.0   | 23030 | 1.0003          |
| 1.2791        | 6.0   | 27636 | 1.0887          |
| 1.2555        | 7.0   | 32242 | 0.9727          |
| 1.2354        | 8.0   | 36848 | 0.9575          |
| 1.2231        | 9.0   | 41454 | 0.9552          |
| 1.212         | 10.0  | 46060 | 0.9492          |


### Framework versions

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