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