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donut-base-Medical_Handwritten_Blocks_Data_Extraction – AI Model by mjawadazad2321 | AlphaNeural AI
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donut-base-Medical_Handwritten_Blocks_Data_Extraction
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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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donut-base-Medical_Handwritten_Blocks_Data_Extraction
This model is a fine-tuned version of
naver-clova-ix/donut-base
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: 6
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.24.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
