klue-roberta-base-ner

dontgive99/klue-roberta-base-ner

klue-roberta-base-ner is a token classification model from dontgive99. 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: roberta
Access: Public
Created: Jul 31, 2023
Updated: Jul 31, 2023
SHA: a69ba9d1

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Model card

From the Hugging Face model README

klue-roberta-base-ner

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

Loss: 0.0291
Precision: 0.9517
Recall: 0.9492
F1: 0.9505
Accuracy: 0.9951

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	357	0.0533	0.7734	0.8187	0.7954	0.9891
0.16	2.0	714	0.0389	0.9122	0.9370	0.9244	0.9915
0.0336	3.0	1071	0.0317	0.9330	0.9273	0.9302	0.9930
0.0336	4.0	1428	0.0265	0.9164	0.9405	0.9283	0.9939
0.0165	5.0	1785	0.0286	0.9325	0.9431	0.9377	0.9944
0.0109	6.0	2142	0.0326	0.9458	0.9466	0.9462	0.9947
0.0109	7.0	2499	0.0291	0.9517	0.9492	0.9505	0.9951

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: roberta
Created: Jul 31, 2023
Updated: Jul 31, 2023