---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
model-index:
- name: detr-r101-cd45rb-8ah-12l
  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-12l

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: 1.6447

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 3.0401        | 1.0   | 4606   | 2.1637          |
| 2.7151        | 2.0   | 9212   | 2.0666          |
| 2.6021        | 3.0   | 13818  | 1.9868          |
| 2.5221        | 4.0   | 18424  | 1.8958          |
| 2.4541        | 5.0   | 23030  | 1.8810          |
| 2.4155        | 6.0   | 27636  | 1.8369          |
| 2.3531        | 7.0   | 32242  | 1.8040          |
| 2.31          | 8.0   | 36848  | 1.7979          |
| 2.2841        | 9.0   | 41454  | 1.7521          |
| 2.2555        | 10.0  | 46060  | 1.7243          |
| 2.3388        | 11.0  | 50666  | 1.8520          |
| 2.3523        | 12.0  | 55272  | 1.8499          |
| 2.3515        | 13.0  | 59878  | 1.7635          |
| 2.3236        | 14.0  | 64484  | 1.7787          |
| 2.2676        | 15.0  | 69090  | 1.7518          |
| 2.2787        | 16.0  | 73696  | 1.7879          |
| 2.2523        | 17.0  | 78302  | 1.7303          |
| 2.2357        | 18.0  | 82908  | 1.7361          |
| 2.2068        | 19.0  | 87514  | 1.6916          |
| 2.1972        | 20.0  | 92120  | 1.6941          |
| 2.1856        | 21.0  | 96726  | 1.6824          |
| 2.1611        | 22.0  | 101332 | 1.6711          |
| 2.1419        | 23.0  | 105938 | 1.6535          |
| 2.1412        | 24.0  | 110544 | 1.6602          |
| 2.1285        | 25.0  | 115150 | 1.6447          |


### Framework versions

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