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donut-base-payslips – AI Model by Assadullah | AlphaNeural AI

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Assadullah/
donut-base-payslips

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vision-encoder-decoder

generated_from_trainer

endpoints_compatible

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donut-base-payslips

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: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0a0+d0d6b1f
Datasets 2.6.1
Tokenizers 0.13.1