layoutlmv3-finetuned_1.2

hmart824/layoutlmv3-finetuned_1.2

layoutlmv3-finetuned_1.2 is a token classification model from hmart824. 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 19, 2024
Updated: Jul 23, 2024
SHA: 4024a6d5

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Base models

microsoft/layoutlmv3-base

Model card

From the Hugging Face model README

layoutlmv3-finetuned_1.2

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0946
Precision: 0.7381
Recall: 0.7225
F1: 0.7296
Accuracy: 0.9706

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2322	1.0	39	0.2585	0.6872	0.6760	0.6795	0.9035
0.1757	2.0	78	0.0946	0.7381	0.7225	0.7296	0.9706
0.262	3.0	117	0.0953	0.7142	0.7250	0.7189	0.9524

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+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 19, 2024
Updated: Jul 23, 2024