---
license: mit
tags:
- generated_from_trainer
base_model: naver-clova-ix/donut-base
datasets:
- imagefolder
model-index:
- name: invoice_extraction_20240819_ana_v1_resume_train_e20
  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. -->

# invoice_extraction_20240819_ana_v1_resume_train_e20

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

Trained with Ana v1 model (yuchiahung/donut-base-invoice-resize_splitbydate_roc_240401) for a 17 epoch to hit 20 epochs.

## Intended uses & limitations

More information needed

## Training and evaluation data

Train data: 575 samples

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 17

### Training results


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2