passive_invoices_v4.7_refined

atatavana/passive_invoices_v4.7_refined

passive_invoices_v4.7_refined is a token classification model from atatavana. 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: Apr 9, 2024
Updated: Apr 9, 2024
SHA: bab55079

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Base models

microsoft/layoutlmv3-base

Datasets

my_csv_dataset3

Model card

From the Hugging Face model README

passive_invoices_v4.7_refined

This model is a fine-tuned version of microsoft/layoutlmv3-base on the my_csv_dataset3 dataset. It achieves the following results on the evaluation set:

Loss: 0.0915
Precision: 0.8838
Recall: 0.9082
F1: 0.8958
Accuracy: 0.9792

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: 16000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.0499	0.27	500	0.8340	0.1650	0.0685	0.0968	0.7864
0.6058	0.53	1000	0.5578	0.3949	0.3288	0.3588	0.8551
0.4061	0.8	1500	0.3891	0.5604	0.5187	0.5388	0.8984
0.2779	1.07	2000	0.3063	0.6178	0.6270	0.6223	0.9156
0.2234	1.33	2500	0.2566	0.6489	0.6511	0.6500	0.9244
0.185	1.6	3000	0.2230	0.7019	0.7136	0.7077	0.9381
0.1524	1.87	3500	0.2003	0.7038	0.7484	0.7254	0.9433
0.1249	2.14	4000	0.1652	0.7548	0.7728	0.7637	0.9546
0.1101	2.4	4500	0.1480	0.7760	0.7986	0.7872	0.9589
0.1054	2.67	5000	0.1455	0.7852	0.8163	0.8004	0.9601
0.0846	2.94	5500	0.1413	0.7828	0.8261	0.8039	0.9610
0.0822	3.2	6000	0.1285	0.8133	0.8213	0.8173	0.9649
0.0725	3.47	6500	0.1256	0.8112	0.8444	0.8275	0.9670
0.0653	3.74	7000	0.1210	0.8178	0.8552	0.8361	0.9673
0.0682	4.0	7500	0.1123	0.8347	0.8624	0.8483	0.9703
0.0562	4.27	8000	0.1084	0.8439	0.8635	0.8536	0.9723
0.0553	4.54	8500	0.1098	0.8323	0.8761	0.8536	0.9710
0.0527	4.81	9000	0.1035	0.8408	0.8819	0.8609	0.9732
0.0446	5.07	9500	0.1037	0.8594	0.8839	0.8715	0.9747
0.047	5.34	10000	0.1080	0.8631	0.8825	0.8727	0.9731
0.0402	5.61	10500	0.0955	0.8696	0.8871	0.8783	0.9768
0.0428	5.87	11000	0.0948	0.8685	0.8957	0.8819	0.9765
0.0422	6.14	11500	0.0992	0.8724	0.8957	0.8839	0.9762
0.0365	6.41	12000	0.0951	0.8731	0.9032	0.8879	0.9777
0.0351	6.67	12500	0.0930	0.8818	0.9018	0.8917	0.9786
0.0353	6.94	13000	0.0973	0.8654	0.9010	0.8828	0.9765
0.0304	7.21	13500	0.0946	0.8795	0.9053	0.8923	0.9784
0.0324	7.47	14000	0.0954	0.8805	0.9048	0.8925	0.9782
0.0327	7.74	14500	0.0920	0.8825	0.9048	0.8935	0.9786
0.0293	8.01	15000	0.0916	0.8810	0.9068	0.8937	0.9789
0.0259	8.28	15500	0.0921	0.8823	0.9062	0.8941	0.9790
0.0337	8.54	16000	0.0915	0.8838	0.9082	0.8958	0.9792

Framework versions

Transformers 4.39.3
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Apr 9, 2024
Updated: Apr 9, 2024