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donut-base-sroie

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donut-base-sroie / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - imagefolder
base_model: naver-clova-ix/donut-base
model-index:
  - name: donut-base-sroie
    results: []

donut-base-sroie

This model is a fine-tuned version of naver-clova-ix/donut-base 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: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.11.0
  • Datasets 2.4.0
  • Tokenizers 0.12.1