layoutlmv3-finetuned-invoice

pradyumna0/layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice is a token classification model from pradyumna0. 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 3, 2023
Updated: Nov 6, 2023
SHA: 981e1453

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Base models

microsoft/layoutlmv3-base

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: 0.0042
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	0.1164	0.902	0.9148	0.9084	0.9897
No log	4.0	200	0.0262	0.972	0.9858	0.9789	0.9971
No log	6.0	300	0.0157	0.972	0.9858	0.9789	0.9971
No log	8.0	400	0.0097	0.9877	0.9797	0.9837	0.9979
0.1294	10.0	500	0.0065	0.9939	0.9959	0.9949	0.9994
0.1294	12.0	600	0.0042	0.9960	0.9980	0.9970	0.9996
0.1294	14.0	700	0.0048	0.9960	0.9980	0.9970	0.9996
0.1294	16.0	800	0.0047	0.9960	0.9980	0.9970	0.9996
0.1294	18.0	900	0.0045	0.9960	0.9980	0.9970	0.9996
0.0051	20.0	1000	0.0042	0.9960	0.9980	0.9970	0.9996
0.0051	22.0	1100	0.0041	0.9960	0.9980	0.9970	0.9996
0.0051	24.0	1200	0.0041	0.9960	0.9980	0.9970	0.9996
0.0051	26.0	1300	0.0040	0.9960	0.9980	0.9970	0.9996
0.0051	28.0	1400	0.0040	0.9960	0.9980	0.9970	0.9996
0.0024	30.0	1500	0.0040	0.9960	0.9980	0.9970	0.9996
0.0024	32.0	1600	0.0040	0.9960	0.9980	0.9970	0.9996
0.0024	34.0	1700	0.0039	0.9960	0.9980	0.9970	0.9996
0.0024	36.0	1800	0.0039	0.9960	0.9980	0.9970	0.9996
0.0024	38.0	1900	0.0039	0.9960	0.9980	0.9970	0.9996
0.0018	40.0	2000	0.0039	0.9960	0.9980	0.9970	0.9996

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Nov 3, 2023
Updated: Nov 6, 2023