layoutlmv1-er-ner

renjithks/layoutlmv1-er-ner

layoutlmv1-er-ner is a token classification model from renjithks. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

Downloads · 30 days

2% of all-time downloads

All-time downloads

496

Public

Repo size

1.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin451 MB · 100%

At a glance

Task: Token Classification
Library: transformers
Model type: layoutlm
Access: Public
Created: Jun 8, 2022
Updated: Jun 8, 2022
SHA: c89b838f

Try a prompt

Model card

From the Hugging Face model README

layoutlmv1-er-ner

This model is a fine-tuned version of renjithks/layoutlmv1-cord-ner on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2092
Precision: 0.7202
Recall: 0.7238
F1: 0.7220
Accuracy: 0.9639

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	41	0.2444	0.4045	0.3996	0.4020	0.9226
No log	2.0	82	0.1640	0.5319	0.6098	0.5682	0.9455
No log	3.0	123	0.1531	0.6324	0.6614	0.6466	0.9578
No log	4.0	164	0.1440	0.6927	0.6743	0.6834	0.9620
No log	5.0	205	0.1520	0.6750	0.6958	0.6853	0.9613
No log	6.0	246	0.1597	0.6840	0.6987	0.6913	0.9605
No log	7.0	287	0.1910	0.7002	0.6887	0.6944	0.9605
No log	8.0	328	0.1860	0.6834	0.6923	0.6878	0.9609
No log	9.0	369	0.1665	0.6785	0.7102	0.6940	0.9624
No log	10.0	410	0.1816	0.7016	0.7052	0.7034	0.9624
No log	11.0	451	0.1808	0.6913	0.7166	0.7038	0.9638
No log	12.0	492	0.2165	0.712	0.7023	0.7071	0.9628
0.1014	13.0	533	0.2135	0.6979	0.7109	0.7043	0.9613
0.1014	14.0	574	0.2154	0.6906	0.7109	0.7006	0.9612
0.1014	15.0	615	0.2118	0.6902	0.7016	0.6958	0.9615
0.1014	16.0	656	0.2091	0.6985	0.7080	0.7032	0.9623
0.1014	17.0	697	0.2104	0.7118	0.7123	0.7121	0.9630
0.1014	18.0	738	0.2081	0.7129	0.7231	0.7179	0.9638
0.1014	19.0	779	0.2093	0.7205	0.7231	0.7218	0.9638
0.1014	20.0	820	0.2092	0.7202	0.7238	0.7220	0.9639

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: layoutlm
Created: Jun 8, 2022
Updated: Jun 8, 2022