layoutlmv3-cordv2

mohamedeijy/layoutlmv3-cordv2

layoutlmv3-cordv2 is a token classification model from mohamedeijy. 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: Jul 14, 2024
Updated: Jul 14, 2024
SHA: 0e1b3291

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Base models

microsoft/layoutlmv3-base

Model card

From the Hugging Face model README

layoutlmv3-cordv2

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

Loss: 0.3190
Precision: 0.8830
Recall: 0.8864
F1: 0.8847
Accuracy: 0.9201

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: 1500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.3333	100	1.5910	0.5469	0.4954	0.5199	0.5926
No log	0.6667	200	1.0875	0.6533	0.6685	0.6608	0.7540
No log	1.0	300	0.8007	0.7629	0.7782	0.7705	0.8144
No log	1.3333	400	0.6082	0.8099	0.8130	0.8114	0.8471
1.2178	1.6667	500	0.5302	0.8222	0.8184	0.8203	0.8568
1.2178	2.0	600	0.5046	0.8300	0.8261	0.8280	0.8624
1.2178	2.3333	700	0.4537	0.8498	0.8485	0.8492	0.8785
1.2178	2.6667	800	0.4270	0.8566	0.8586	0.8576	0.8870
1.2178	3.0	900	0.3938	0.8680	0.8686	0.8683	0.8980
0.4128	3.3333	1000	0.3926	0.8765	0.8717	0.8741	0.9031
0.4128	3.6667	1100	0.3403	0.8644	0.8717	0.8680	0.9087
0.4128	4.0	1200	0.3326	0.8861	0.8841	0.8851	0.9159
0.4128	4.3333	1300	0.3223	0.8824	0.8872	0.8848	0.9201
0.4128	4.6667	1400	0.3175	0.8852	0.8879	0.8866	0.9210
0.274	5.0	1500	0.3190	0.8830	0.8864	0.8847	0.9201

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: layoutlmv3
License: cc-by-nc-sa-4.0
Created: Jul 14, 2024
Updated: Jul 14, 2024