layoutlmv3-invoice-model

ahlem-phantom/layoutlmv3-invoice-model

layoutlmv3-invoice-model is a token classification model from ahlem-phantom. 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: Oct 13, 2023
Updated: Oct 13, 2023
SHA: 60783bce

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Base models

microsoft/layoutlmv3-base

Datasets

ls-generated4

Model card

From the Hugging Face model README

layoutlmv3-invoice-model

This model is a fine-tuned version of microsoft/layoutlmv3-base on the ls-generated4 dataset. It achieves the following results on the evaluation set:

Loss: 0.3694
Precision: 0.9186
Recall: 0.9375
F1: 0.9279
Accuracy: 0.9537

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: 5e-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	0.85	100	0.7836	0.5238	0.5982	0.5585	0.7680
No log	1.69	200	0.4954	0.6888	0.7479	0.7172	0.8422
No log	2.54	300	0.3483	0.7807	0.8462	0.8121	0.9040
No log	3.39	400	0.3200	0.8113	0.8654	0.8375	0.9125
0.5923	4.24	500	0.2775	0.8593	0.8853	0.8721	0.9319
0.5923	5.08	600	0.2674	0.8700	0.9052	0.8872	0.9377
0.5923	5.93	700	0.2766	0.8739	0.9135	0.8932	0.9386
0.5923	6.78	800	0.2641	0.8879	0.9190	0.9031	0.9472
0.5923	7.63	900	0.2893	0.9094	0.9238	0.9165	0.9447
0.0802	8.47	1000	0.3369	0.9145	0.9258	0.9201	0.9465
0.0802	9.32	1100	0.3037	0.9043	0.9341	0.9189	0.9505
0.0802	10.17	1200	0.3510	0.9032	0.9231	0.9130	0.9472
0.0802	11.02	1300	0.3224	0.9138	0.9251	0.9195	0.9501
0.0802	11.86	1400	0.3873	0.9133	0.9265	0.9199	0.9456
0.0198	12.71	1500	0.3786	0.9120	0.9327	0.9222	0.9492
0.0198	13.56	1600	0.3807	0.9050	0.9293	0.9170	0.9469
0.0198	14.41	1700	0.3664	0.9088	0.9313	0.9199	0.9510
0.0198	15.25	1800	0.3582	0.9152	0.9341	0.9245	0.9521
0.0198	16.1	1900	0.3736	0.9198	0.9368	0.9282	0.9528
0.007	16.95	2000	0.3694	0.9186	0.9375	0.9279	0.9537

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Oct 13, 2023
Updated: Oct 13, 2023