---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cd45rb
model-index:
- name: detr-r101-cd45rb-4ah-4l-256d
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# detr-r101-cd45rb-4ah-4l-256d

This model is a fine-tuned version of [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101) on the cd45rb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9995

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.7019        | 1.0   | 4606  | 2.7624          |
| 3.242         | 2.0   | 9212  | 2.4796          |
| 3.0192        | 3.0   | 13818 | 2.2813          |
| 2.863         | 4.0   | 18424 | 2.1890          |
| 2.7702        | 5.0   | 23030 | 2.1246          |
| 2.7018        | 6.0   | 27636 | 2.1121          |
| 2.6499        | 7.0   | 32242 | 2.0616          |
| 2.6082        | 8.0   | 36848 | 2.0321          |
| 2.5774        | 9.0   | 41454 | 2.0095          |
| 2.5589        | 10.0  | 46060 | 1.9995          |


### Framework versions

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