---
tags:
- generated_from_trainer
datasets:
- cd45rb_nan_xywh
model-index:
- name: deta-cd45rb-4ah-4l
  results: []
---

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

This model is a fine-tuned version of [jozhang97/deta-swin-large](https://huggingface.co/jozhang97/deta-swin-large) on the cd45rb_nan_xywh dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3723

## 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-06
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.8838        | 1.0   | 4606  | 5.5818          |
| 4.3326        | 2.0   | 9212  | 5.5327          |
| 4.3118        | 3.0   | 13818 | 5.3539          |
| 4.1978        | 4.0   | 18424 | 5.1552          |
| 4.0235        | 5.0   | 23030 | 4.9679          |
| 3.9038        | 6.0   | 27636 | 4.7824          |
| 3.8628        | 7.0   | 32242 | 4.5919          |
| 3.7967        | 8.0   | 36848 | 4.4415          |
| 3.7638        | 9.0   | 41454 | 4.4006          |
| 3.7538        | 10.0  | 46060 | 4.3723          |


### Framework versions

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