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

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: 1.6264

## 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: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3757        | 1.0   | 2303  | 1.8222          |
| 2.1779        | 2.0   | 4606  | 1.8000          |
| 2.1259        | 3.0   | 6909  | 1.7306          |
| 2.0969        | 4.0   | 9212  | 1.6854          |
| 2.0699        | 5.0   | 11515 | 1.6934          |
| 2.0398        | 6.0   | 13818 | 1.6655          |
| 2.0203        | 7.0   | 16121 | 1.6576          |
| 2.009         | 8.0   | 18424 | 1.6401          |
| 1.9923        | 9.0   | 20727 | 1.6319          |
| 1.9802        | 10.0  | 23030 | 1.6264          |


### Framework versions

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