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

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

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token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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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: 0.5377
F1: 0.4294

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
0.6149	1.0	876	0.5522	0.1925
0.4204	2.0	1752	0.5182	0.2602
0.3368	3.0	2628	0.4434	0.3151
0.2808	4.0	3504	0.4554	0.3265
0.2422	5.0	4380	0.4239	0.3567
0.208	6.0	5256	0.4563	0.3930
0.1792	7.0	6132	0.4853	0.3849
0.1564	8.0	7008	0.4942	0.3964
0.1322	9.0	7884	0.5034	0.4216
0.1136	10.0	8760	0.5377	0.4294

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3