---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: cdetr-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. -->

# cdetr-r50-cd45rb-all-4ah

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the cd45rb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8344

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.165         | 1.0   | 2303  | 2.0257          |
| 1.9843        | 2.0   | 4606  | 1.9742          |
| 1.9296        | 3.0   | 6909  | 1.9123          |
| 1.8949        | 4.0   | 9212  | 1.8928          |
| 1.8751        | 5.0   | 11515 | 1.9116          |
| 1.854         | 6.0   | 13818 | 1.8909          |
| 1.8354        | 7.0   | 16121 | 1.8533          |
| 1.8257        | 8.0   | 18424 | 1.8407          |
| 1.8101        | 9.0   | 20727 | 1.8453          |
| 1.8025        | 10.0  | 23030 | 1.8344          |


### Framework versions

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