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donut-base-ISynHMP – AI Model by warshakhan | AlphaNeural AI
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warshakhan
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donut-base-ISynHMP
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transformers
pytorch
vision-encoder-decoder
image-to-text
generated_from_trainer
imagefolder
naver-clova-ix/donut-base
finetune
mit
endpoints_compatible
us
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donut-base-ISynHMP
This model is a fine-tuned version of
naver-clova-ix/donut-base
on the imagefolder dataset.
Model description
Fine_tuned Donut_Model for Document Parsing task on ISynGen_HMP Dataset
Intended uses & limitations
More information needed
Training and evaluation data
ISynGen_HMP - private Handwritten Medical Prescription dataset.
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: 20
Training results
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
