KR-FinBert-finetuned-ner

mepi/KR-FinBert-finetuned-ner

KR-FinBert-finetuned-ner is a token classification model from mepi. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Nov 29, 2022
Updated: Nov 29, 2022
SHA: 78b1bb40

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Datasets

klue

Model card

From the Hugging Face model README

KR-FinBert-finetuned-ner

This model is a fine-tuned version of snunlp/KR-FinBert on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.1634
Precision: 0.7082
Recall: 0.7610
F1: 0.7337
Accuracy: 0.9504

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: 16
eval_batch_size: 16
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
0.2028	1.0	1313	0.1852	0.6650	0.7060	0.6849	0.9406
0.1232	2.0	2626	0.1627	0.7028	0.7459	0.7237	0.9487
0.0942	3.0	3939	0.1634	0.7082	0.7610	0.7337	0.9504

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
Created: Nov 29, 2022
Updated: Nov 29, 2022