---
title: donut-base-sroie
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/donut-base-sroie"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/donut-base-sroie.md"
repository: AI-ModelScope/donut-base-sroie
last_updated: 2024-10-30
license: mit
model_type:
  - vision-encoder-decoder
architectures:
  - VisionEncoderDecoderModel
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 1839
stars: 0
tags:
  - generated_from_trainer
---

# donut-base-sroie

> donut-base-sroie - AI-ModelScope 在 ModelScope 开源的模型。donut-base-sroie-long

AI-ModelScope/donut-base-sroie 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: AI-ModelScope/donut-base-sroie
- **License**: mit
- **Tags**: generated_from_trainer
- **Downloads**: 1839
- **Stars**: 0
- **Last updated**: 2024-10-30

Source: https://www.modelscope.cn/models/AI-ModelScope/donut-base-sroie

---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# donut-base-sroie-long

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.

## 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: 3

### Training results



### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.7.0
- Tokenizers 0.11.0