donut_finetuned_chart

aravind-selvam/donut_finetuned_chart

donut_finetuned_chart is a image-text-to-text model from aravind-selvam. 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. The card lists the license as mit.

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

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At a glance

Task: Image-Text-to-Text
Library: transformers
License: mit
Model type: vision-encoder-decoder
Access: Public
Created: Apr 17, 2023
Updated: Apr 26, 2023
SHA: f23e29b0

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Model card

From the Hugging Face model README

donut_finetuned_chart

This model is a fine-tuned version of naver-clova-ix/donut-base on an chart images dataset. It achieves the following results on the evaluation set:

Loss: 0.4957
Cer: 0.2318

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: 2.3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
3.4943	1.0	166	0.6634	0.2341
0.475	2.0	333	0.5370	0.2320
0.3009	3.0	500	0.5051	0.2318
0.2611	3.98	664	0.4957	0.2318

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
License: mit
Created: Apr 17, 2023
Updated: Apr 26, 2023