layoutlmv3-finetuned-invoice

ddebnath/layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice is a token classification model from ddebnath. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

396

Public

Repo size

1.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin504 MB · 99%

At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: layoutlmv3
Access: Public
Created: Oct 23, 2022
Updated: Oct 23, 2022
SHA: 5e86b2e2

Try a prompt

Datasets

generated

Model card

From the Hugging Face model README

layoutlmv3-finetuned-invoice

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

Loss: 0.0028
Precision: 0.9960
Recall: 0.9980
F1: 0.9970
Accuracy: 0.9996

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.0	100	0.0502	0.97	0.9838	0.9768	0.9968
No log	4.0	200	0.0194	0.972	0.9858	0.9789	0.9971
No log	6.0	300	0.0160	0.972	0.9858	0.9789	0.9971
No log	8.0	400	0.0123	0.972	0.9858	0.9789	0.9971
0.053	10.0	500	0.0089	0.9757	0.9757	0.9757	0.9966
0.053	12.0	600	0.0058	0.9959	0.9919	0.9939	0.9992
0.053	14.0	700	0.0046	0.9939	0.9919	0.9929	0.9989
0.053	16.0	800	0.0037	0.9960	0.9980	0.9970	0.9996
0.053	18.0	900	0.0068	0.9959	0.9878	0.9919	0.9987
0.0057	20.0	1000	0.0054	0.9919	0.9959	0.9939	0.9992
0.0057	22.0	1100	0.0057	0.9919	0.9959	0.9939	0.9992
0.0057	24.0	1200	0.0049	0.9919	0.9959	0.9939	0.9992
0.0057	26.0	1300	0.0052	0.9919	0.9959	0.9939	0.9992
0.0057	28.0	1400	0.0030	0.9960	0.9980	0.9970	0.9996
0.0022	30.0	1500	0.0028	0.9960	0.9980	0.9970	0.9996
0.0022	32.0	1600	0.0030	0.9960	0.9980	0.9970	0.9996
0.0022	34.0	1700	0.0030	0.9960	0.9980	0.9970	0.9996
0.0022	36.0	1800	0.0037	0.9960	0.9980	0.9970	0.9996
0.0022	38.0	1900	0.0037	0.9960	0.9980	0.9970	0.9996
0.0017	40.0	2000	0.0037	0.9960	0.9980	0.9970	0.9996

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Oct 23, 2022
Updated: Oct 23, 2022