---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_marriage_mixed_512-128_003
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# donut_marriage_mixed_512-128_003

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1388

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7548        | 1.0   | 256  | 0.3804          |
| 0.1097        | 2.0   | 512  | 0.2123          |
| 0.1566        | 3.0   | 768  | 0.2084          |
| 0.0439        | 4.0   | 1024 | 0.1663          |
| 0.125         | 5.0   | 1280 | 0.1685          |
| 0.0031        | 6.0   | 1536 | 0.1349          |
| 0.0042        | 7.0   | 1792 | 0.1363          |
| 0.0803        | 8.0   | 2048 | 0.1534          |
| 0.0089        | 9.0   | 2304 | 0.1400          |
| 0.0261        | 10.0  | 2560 | 0.1418          |
| 0.0002        | 11.0  | 2816 | 0.1388          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0