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invoice_extraction_20240802_base_type_0 – AI Model by michaeljcliao | AlphaNeural AI
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michaeljcliao
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invoice_extraction_20240802_base_type_0
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safetensors
vision-encoder-decoder
generated_from_trainer
imagefolder
naver-clova-ix/donut-base
finetune
mit
us
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donut-base-invoice-resize_splitbydate_roc_240401
This model is a fine-tuned version of
naver-clova-ix/donut-base
on the imagefolder dataset.
Model description
Trained from Donut base model (naver-clova-ix/donut-base) with non-type-0 invoice data
Intended uses & limitations
More information needed
Training and evaluation data
Train data: 241 samples of type 0
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-06
train_batch_size: 2
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
TrainOutput(global_step=2420, training_loss=1.0457300442309418, metrics={'train_runtime': 9844.8278, 'train_samples_per_second': 0.49, 'train_steps_per_second': 0.246, 'total_flos': 6.47612717723136e+18, 'train_loss': 1.0457300442309418, 'epoch': 20.0})
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.14.5
Tokenizers 0.15.2
