---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
model-index:
- name: detr-r101-cd45rb-8ah-4l
  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-r101-cd45rb-8ah-4l

This model is a fine-tuned version of [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7442

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 3.1054        | 1.0   | 4606   | 2.2520          |
| 2.7633        | 2.0   | 9212   | 2.1251          |
| 2.6589        | 3.0   | 13818  | 2.0489          |
| 2.5832        | 4.0   | 18424  | 2.0000          |
| 2.5369        | 5.0   | 23030  | 1.9442          |
| 2.4955        | 6.0   | 27636  | 1.9363          |
| 2.4615        | 7.0   | 32242  | 1.8860          |
| 2.4326        | 8.0   | 36848  | 1.8732          |
| 2.404         | 9.0   | 41454  | 1.8580          |
| 2.3915        | 10.0  | 46060  | 1.8536          |
| 2.4311        | 11.0  | 50666  | 1.8881          |
| 2.4175        | 12.0  | 55272  | 1.8443          |
| 2.3763        | 13.0  | 59878  | 1.8380          |
| 2.371         | 14.0  | 64484  | 1.8314          |
| 2.3427        | 15.0  | 69090  | 1.8255          |
| 2.3415        | 16.0  | 73696  | 1.8258          |
| 2.3189        | 17.0  | 78302  | 1.7938          |
| 2.3049        | 18.0  | 82908  | 1.7959          |
| 2.2884        | 19.0  | 87514  | 1.7827          |
| 2.2769        | 20.0  | 92120  | 1.7849          |
| 2.2728        | 21.0  | 96726  | 1.7581          |
| 2.2547        | 22.0  | 101332 | 1.7553          |
| 2.249         | 23.0  | 105938 | 1.7521          |
| 2.2476        | 24.0  | 110544 | 1.7505          |
| 2.2371        | 25.0  | 115150 | 1.7442          |


### Framework versions

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