donut_pdf_ocr

shubh1608/donut_pdf_ocr

donut_pdf_ocr is a image-text-to-text model from shubh1608. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Apr 17, 2023
Updated: Oct 23, 2023
SHA: ca020a5d

Try a prompt

Datasets

imagefolder

Model card

From the Hugging Face model README

donut_pdf_ocr

This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0443

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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0829	1.0	47	0.1157
0.0184	2.0	94	0.1660
0.0533	3.0	141	0.0765
0.0765	4.0	188	0.0530
0.101	5.0	235	0.0481
0.0936	6.0	282	0.0494
0.1032	7.0	329	0.0524
0.0033	8.0	376	0.0460
0.0185	9.0	423	0.0440
0.0044	10.0	470	0.0443

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Apr 17, 2023
Updated: Oct 23, 2023