layoutlmv3-finetuned-cord_800

rajistics/layoutlmv3-finetuned-cord_800

layoutlmv3-finetuned-cord_800 is a token classification model from rajistics. 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: Aug 28, 2022
Updated: Aug 28, 2022
SHA: f9ab02db

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Datasets

cord-layoutlmv3

Model card

From the Hugging Face model README

layoutlmv3-finetuned-cord_800

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

Loss: 0.2042
Precision: 0.9445
Recall: 0.9558
F1: 0.9501
Accuracy: 0.9605

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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.56	250	0.9737	0.7787	0.8166	0.7972	0.8188
1.3706	3.12	500	0.5489	0.8480	0.8645	0.8562	0.8680
1.3706	4.69	750	0.3857	0.8913	0.9087	0.8999	0.9147
0.3693	6.25	1000	0.3192	0.9117	0.9274	0.9195	0.9317
0.3693	7.81	1250	0.2816	0.9189	0.9326	0.9257	0.9355
0.1903	9.38	1500	0.2521	0.9277	0.9409	0.9342	0.9465
0.1903	10.94	1750	0.2353	0.9357	0.9476	0.9416	0.9550
0.1231	12.5	2000	0.2361	0.9293	0.9446	0.9369	0.9516
0.1231	14.06	2250	0.2194	0.9402	0.9528	0.9465	0.9576
0.0766	15.62	2500	0.2133	0.9416	0.9528	0.9472	0.9580
0.0766	17.19	2750	0.2117	0.9438	0.9558	0.9498	0.9597
0.0585	18.75	3000	0.2152	0.9417	0.9551	0.9483	0.9605
0.0585	20.31	3250	0.2070	0.9431	0.9551	0.9491	0.9588
0.0454	21.88	3500	0.2093	0.9489	0.9588	0.9538	0.9622
0.0454	23.44	3750	0.2034	0.9453	0.9566	0.9509	0.9610
0.0409	25.0	4000	0.2042	0.9445	0.9558	0.9501	0.9605

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Aug 28, 2022
Updated: Aug 28, 2022