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donut-invoice-extractor – AI Model by S0B0LEV | AlphaNeural AI

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S0B0LEV/
donut-invoice-extractor

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vision-encoder-decoder

image-text-to-text

generated_from_trainer

naver-clova-ix/donut-base

endpoints_compatible

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donut-invoice-extractor

This model is a fine-tuned version of naver-clova-ix/donut-base on an unknown 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2