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---
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
model-index:
- name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd
  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-6l-256d-4096ffn-correcetd

This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5943

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3194        | 1.0   | 4606  | 1.7874          |
| 2.3461        | 2.0   | 9212  | 1.8376          |
| 2.3028        | 3.0   | 13818 | 1.9087          |
| 2.2979        | 4.0   | 18424 | 1.9066          |
| 2.273         | 5.0   | 23030 | 1.7689          |
| 2.2372        | 6.0   | 27636 | 1.8501          |
| 2.2429        | 7.0   | 32242 | 1.7625          |
| 2.2066        | 8.0   | 36848 | 1.7588          |
| 2.1914        | 9.0   | 41454 | 1.7062          |
| 2.1553        | 10.0  | 46060 | 1.7069          |
| 2.1302        | 11.0  | 50666 | 1.6863          |
| 2.1321        | 12.0  | 55272 | 1.7722          |
| 2.1227        | 13.0  | 59878 | 1.6639          |
| 2.087         | 14.0  | 64484 | 1.6486          |
| 2.0676        | 15.0  | 69090 | 1.6632          |
| 2.0604        | 16.0  | 73696 | 1.6429          |
| 2.0435        | 17.0  | 78302 | 1.6224          |
| 2.0241        | 18.0  | 82908 | 1.6321          |
| 2.0041        | 19.0  | 87514 | 1.5970          |
| 1.9966        | 20.0  | 92120 | 1.5943          |


### Framework versions

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