metadata

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: []

invoice_extraction_20240819_ana_v1_resume_train_e20

This model is a fine-tuned version of 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