---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r50-cd45rb-8ah-6l-dilation-corrected
  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-dilation-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: 1.5202

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.4024        | 1.0   | 4606   | 1.7613          |
| 2.1798        | 2.0   | 9212   | 1.7139          |
| 2.1158        | 3.0   | 13818  | 1.6784          |
| 2.0907        | 4.0   | 18424  | 1.6514          |
| 2.0665        | 5.0   | 23030  | 1.6573          |
| 2.0511        | 6.0   | 27636  | 1.6508          |
| 2.0401        | 7.0   | 32242  | 1.6145          |
| 2.0217        | 8.0   | 36848  | 1.6353          |
| 2.0119        | 9.0   | 41454  | 1.6176          |
| 1.9921        | 10.0  | 46060  | 1.6012          |
| 1.9841        | 11.0  | 50666  | 1.5832          |
| 1.9774        | 12.0  | 55272  | 1.6204          |
| 1.9567        | 13.0  | 59878  | 1.5836          |
| 1.9542        | 14.0  | 64484  | 1.5789          |
| 1.9347        | 15.0  | 69090  | 1.5565          |
| 1.9348        | 16.0  | 73696  | 1.5833          |
| 1.9188        | 17.0  | 78302  | 1.5547          |
| 1.9085        | 18.0  | 82908  | 1.5456          |
| 1.8956        | 19.0  | 87514  | 1.5433          |
| 1.8891        | 20.0  | 92120  | 1.5555          |
| 1.8899        | 21.0  | 96726  | 1.5278          |
| 1.8782        | 22.0  | 101332 | 1.5235          |
| 1.8676        | 23.0  | 105938 | 1.5314          |
| 1.8699        | 24.0  | 110544 | 1.5172          |
| 1.8627        | 25.0  | 115150 | 1.5202          |


### Framework versions

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