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form16-donut-dvqa-model-4 – AI Model by ChakuChidiya | AlphaNeural AI

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ChakuChidiya/
form16-donut-dvqa-model-4

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vision-encoder-decoder

generated_from_trainer

naver-clova-ix/donut-base-finetuned-docvqa

endpoints_compatible

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form16-donut-dvqa-model-4

This model is a fine-tuned version of naver-clova-ix/donut-base-finetuned-docvqa 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: 4
eval_batch_size: 4
seed: 42
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
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1