kogpt2-base-v2-finetuned-klue-ner – AI Model by daisyshim | AlphaNeural AI

You can deploy this model and start earning money today!

daisyshim/
kogpt2-base-v2-finetuned-klue-ner

like

0

token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

kogpt2-base-v2-finetuned-klue-ner

This model is a fine-tuned version of skt/kogpt2-base-v2 on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.5702
F1: 0.5387

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: 24
eval_batch_size: 24
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
0.6251	1.0	876	0.5664	0.3295
0.4171	2.0	1752	0.5318	0.3635
0.3367	3.0	2628	0.4466	0.4371
0.2757	4.0	3504	0.4940	0.4288
0.2336	5.0	4380	0.4627	0.4514
0.1987	6.0	5256	0.4666	0.4794
0.1681	7.0	6132	0.4811	0.5112
0.1424	8.0	7008	0.5087	0.5268
0.1186	9.0	7884	0.5323	0.5362
0.1006	10.0	8760	0.5702	0.5387

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3