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donut-base-invoice-v1.01 – AI Model by LaaP-ai | AlphaNeural AI

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LaaP-ai/
donut-base-invoice-v1.01

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vision-encoder-decoder

generated_from_trainer

naver-clova-ix/donut-base

endpoints_compatible

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donut-base-invoice-v1.01

This model is a fine-tuned version of naver-clova-ix/donut-base on the None 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1