LayoutLMv3_97_1

BadreddineHug/LayoutLMv3_97_1

LayoutLMv3_97_1 is a token classification model from BadreddineHug. 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 31, 2023
Updated: Sep 2, 2023
SHA: 3bb8752a

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Model card

From the Hugging Face model README

LayoutLMv3_97_1

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: 0.8446
Precision: 0.5939
Recall: 0.8376
F1: 0.6950
Accuracy: 0.8952

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	2.44	100	0.4463	0.4830	0.7265	0.5802	0.8599
No log	4.88	200	0.4064	0.5924	0.7949	0.6788	0.8884
No log	7.32	300	0.4774	0.5813	0.7949	0.6715	0.8907
No log	9.76	400	0.5800	0.6013	0.7863	0.6815	0.8907
0.2076	12.2	500	0.6426	0.6209	0.8120	0.7037	0.8952
0.2076	14.63	600	0.6872	0.5939	0.8376	0.6950	0.8907
0.2076	17.07	700	0.7801	0.5915	0.8291	0.6904	0.8918
0.2076	19.51	800	0.7865	0.5890	0.8205	0.6857	0.8895
0.2076	21.95	900	0.8533	0.5854	0.8205	0.6833	0.8895
0.0109	24.39	1000	0.7738	0.5864	0.8120	0.6810	0.8941
0.0109	26.83	1100	0.8297	0.5854	0.8205	0.6833	0.8872
0.0109	29.27	1200	0.7690	0.6062	0.8291	0.7004	0.8975
0.0109	31.71	1300	0.8629	0.5904	0.8376	0.6926	0.8895
0.0109	34.15	1400	0.8104	0.5976	0.8376	0.6975	0.8941
0.0027	36.59	1500	0.7864	0.5926	0.8205	0.6882	0.8929
0.0027	39.02	1600	0.8002	0.6037	0.8462	0.7046	0.8986
0.0027	41.46	1700	0.8049	0.5964	0.8462	0.6996	0.8964
0.0027	43.9	1800	0.8355	0.5939	0.8376	0.6950	0.8952
0.0027	46.34	1900	0.8402	0.5939	0.8376	0.6950	0.8952
0.001	48.78	2000	0.8446	0.5939	0.8376	0.6950	0.8952

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Aug 31, 2023
Updated: Sep 2, 2023