---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
model-index:
- name: detr-r50-cd45rb-2ah-6l-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-2ah-6l-corrected

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7676

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 3.4312        | 1.0   | 4606   | 2.4426          |
| 2.9035        | 2.0   | 9212   | 2.1671          |
| 2.6788        | 3.0   | 13818  | 2.0925          |
| 2.5847        | 4.0   | 18424  | 2.0215          |
| 2.5075        | 5.0   | 23030  | 1.9689          |
| 2.445         | 6.0   | 27636  | 1.9528          |
| 2.4078        | 7.0   | 32242  | 1.9058          |
| 2.3794        | 8.0   | 36848  | 1.8889          |
| 2.3572        | 9.0   | 41454  | 1.8751          |
| 2.3374        | 10.0  | 46060  | 1.8623          |
| 2.3423        | 11.0  | 50666  | 1.8636          |
| 2.3292        | 12.0  | 55272  | 1.8500          |
| 2.3078        | 13.0  | 59878  | 1.8354          |
| 2.2958        | 14.0  | 64484  | 1.8350          |
| 2.2779        | 15.0  | 69090  | 1.8243          |
| 2.3118        | 16.0  | 73696  | 1.8304          |
| 2.2927        | 17.0  | 78302  | 1.8243          |
| 2.2726        | 18.0  | 82908  | 1.8161          |
| 2.2546        | 19.0  | 87514  | 1.8106          |
| 2.2394        | 20.0  | 92120  | 1.7949          |
| 2.237         | 21.0  | 96726  | 1.7747          |
| 2.2158        | 22.0  | 101332 | 1.7796          |
| 2.2069        | 23.0  | 105938 | 1.7757          |
| 2.2061        | 24.0  | 110544 | 1.7746          |
| 2.1974        | 25.0  | 115150 | 1.7676          |


### Framework versions

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