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Donut5WithRandomPlacing – AI Model by Humayoun | AlphaNeural AI | AlphaNeural AI
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Humayoun
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Donut5WithRandomPlacing
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transformers
pytorch
tensorboard
vision-encoder-decoder
image-to-text
generated_from_trainer
imagefolder
mit
endpoints_compatible
us
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Donut5WithRandomPlacing
This model is a fine-tuned version of
humayoun/Donut4
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: 15
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.28.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2
