README.md

metadata

license: mit
tags:
  - generated_from_trainer
base_model: naver-clova-ix/donut-base
datasets:
  - imagefolder
model-index:
  - name: invoice_extraction_20240816_ana_wrong_aug4x_ROC_retrain
    results: []

invoice_extraction_20240816_ana_wrong_aug4x_retrain

This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.

Model description

Trained from Donut base model (naver-clova-ix/donut-base) with Ana v1 model's training data but augmented the ones that got the invoice date wrong even when overfitted. The training is done with ROC formatted date.

Intended uses & limitations

More information needed

Training and evaluation data

Train data: 1463 samples

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-06
• 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: 20

Training results

Framework versions

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