README.md

metadata

license: mit
base_model: naver-clova-ix/donut-base-finetuned-cord-v2
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: donut-base-cord-test3-CMS30SYN85AUG
    results: []

donut-base-cord-test3-CMS30SYN85AUG

This model is a fine-tuned version of naver-clova-ix/donut-base-finetuned-cord-v2 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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 26
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2