transformers pytorch vision-encoder-decoder generated_from_trainer en license:mit endpoints_compatible region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: donut-trained-model
  results: []
language:
- en
---

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# donut-trained-model

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the [sroie](https://github.com/zzzDavid/ICDAR-2019-SROIE) dataset.

## 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: 10

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.13.3