---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
  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. -->

# donut-base-sroie

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: 1.8229

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1301        | 1.0   | 73   | 4.2545          |
| 1.8221        | 2.0   | 146  | 2.3995          |
| 0.9406        | 3.0   | 219  | 1.9901          |
| 1.3708        | 4.0   | 292  | 1.7363          |
| 0.9771        | 5.0   | 365  | 1.6777          |
| 0.5417        | 6.0   | 438  | 1.6835          |
| 0.9799        | 7.0   | 511  | 1.6810          |
| 0.8556        | 8.0   | 584  | 1.6444          |
| 0.4318        | 9.0   | 657  | 1.6896          |
| 0.3058        | 10.0  | 730  | 1.7384          |
| 0.6697        | 11.0  | 803  | 1.7513          |
| 0.3883        | 12.0  | 876  | 1.7887          |
| 0.166         | 13.0  | 949  | 1.8229          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1