kc_electra_base_ner

ghks4861/kc_electra_base_ner

kc_electra_base_ner is a token classification model from ghks4861. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: electra
Access: Public
Created: Sep 3, 2023
Updated: Sep 5, 2023
SHA: d4ecd42e

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Base models

monologg/koelectra-base-v3-discriminator

Model card

From the Hugging Face model README

kc_electra_base_ner

This model is a fine-tuned version of monologg/koelectra-base-v3-discriminator on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3099
F1: 0.7688

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	2532	0.3136	0.6236
No log	2.0	5064	0.2314	0.7118
No log	3.0	7596	0.2052	0.7407
No log	4.0	10128	0.2022	0.7541
No log	5.0	12660	0.2120	0.7571
No log	6.0	15192	0.2289	0.7562
No log	7.0	17724	0.2488	0.7575
No log	8.0	20256	0.2745	0.7645
No log	9.0	22788	0.2912	0.7677
No log	10.0	25320	0.3099	0.7688

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: electra
License: apache-2.0
Created: Sep 3, 2023
Updated: Sep 5, 2023