LayoutLMv3_5_entities_filtred_12

ayoub999/LayoutLMv3_5_entities_filtred_12

LayoutLMv3_5_entities_filtred_12 is a token classification model from ayoub999. 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 30, 2023
Updated: Oct 30, 2023
SHA: bd5eb647

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Model card

From the Hugging Face model README

LayoutLMv3_5_entities_filtred_12

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

Loss: 0.1405
Precision: 0.9474
Recall: 0.9474
F1: 0.9474
Accuracy: 0.9856

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	50.0	100	0.1150	0.9	0.9474	0.9231	0.9784
No log	100.0	200	0.1241	0.9474	0.9474	0.9474	0.9856
No log	150.0	300	0.1328	0.9474	0.9474	0.9474	0.9856
No log	200.0	400	0.1954	0.9	0.9474	0.9231	0.9784
0.0457	250.0	500	0.1845	0.8571	0.9474	0.9	0.9712
0.0457	300.0	600	0.0843	1.0	0.9474	0.9730	0.9928
0.0457	350.0	700	0.0896	1.0	0.9474	0.9730	0.9928
0.0457	400.0	800	0.0947	0.9474	0.9474	0.9474	0.9856
0.0457	450.0	900	0.1026	0.9474	0.9474	0.9474	0.9856
0.0005	500.0	1000	0.1118	0.9474	0.9474	0.9474	0.9856
0.0005	550.0	1100	0.1196	0.9474	0.9474	0.9474	0.9856
0.0005	600.0	1200	0.1257	0.9474	0.9474	0.9474	0.9856
0.0005	650.0	1300	0.1297	0.9474	0.9474	0.9474	0.9856
0.0005	700.0	1400	0.1334	0.9474	0.9474	0.9474	0.9856
0.0002	750.0	1500	0.1360	0.9474	0.9474	0.9474	0.9856
0.0002	800.0	1600	0.1381	0.9474	0.9474	0.9474	0.9856
0.0002	850.0	1700	0.1389	0.9474	0.9474	0.9474	0.9856
0.0002	900.0	1800	0.1396	0.9474	0.9474	0.9474	0.9856
0.0002	950.0	1900	0.1402	0.9474	0.9474	0.9474	0.9856
0.0002	1000.0	2000	0.1405	0.9474	0.9474	0.9474	0.9856

Framework versions

Transformers 4.29.2
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Oct 30, 2023
Updated: Oct 30, 2023