layoutlmv3-invoice

parandhamudu/layoutlmv3-invoice

layoutlmv3-invoice is a token classification model from parandhamudu. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: layoutlmv3
Access: Public
Created: Nov 18, 2023
Updated: Nov 18, 2023
SHA: 7427361f

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Base models

microsoft/layoutlmv3-base

Datasets

layoutlmv3

Model card

From the Hugging Face model README

layoutlmv3-invoice

This model is a fine-tuned version of microsoft/layoutlmv3-base on the layoutlmv3 dataset. It achieves the following results on the evaluation set:

Loss: 0.1889
Precision: 0.9698
Recall: 0.9592
F1: 0.9645
Accuracy: 0.9708

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 3500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	5.32	250	0.3826	0.9471	0.9278	0.9374	0.9465
0.8433	10.64	500	0.1720	0.9697	0.9560	0.9628	0.9684
0.8433	15.96	750	0.1631	0.9714	0.9608	0.9661	0.9684
0.0347	21.28	1000	0.1548	0.9746	0.9639	0.9692	0.9733
0.0347	26.6	1250	0.1700	0.9698	0.9576	0.9637	0.9672
0.0116	31.91	1500	0.1812	0.9667	0.9576	0.9621	0.9648
0.0116	37.23	1750	0.1513	0.9683	0.9592	0.9637	0.9721
0.0066	42.55	2000	0.1555	0.9730	0.9623	0.9676	0.9757
0.0066	47.87	2250	0.1729	0.9714	0.9592	0.9652	0.9708
0.0048	53.19	2500	0.1854	0.9761	0.9623	0.9692	0.9721
0.0048	58.51	2750	0.1863	0.9714	0.9592	0.9652	0.9696
0.0037	63.83	3000	0.1813	0.9761	0.9623	0.9692	0.9733
0.0037	69.15	3250	0.1903	0.9698	0.9592	0.9645	0.9708
0.0034	74.47	3500	0.1889	0.9698	0.9592	0.9645	0.9708

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Nov 18, 2023
Updated: Nov 18, 2023