kobert-patent-baseline

ingyoun/kobert-patent-baseline

kobert-patent-baseline is a text classification model from ingyoun. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 8, 2026
Updated: Jul 9, 2026
SHA: 723c8859

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Base models

monologg/kobert

Model card

From the Hugging Face model README

kobert-patent-baseline

This model is a fine-tuned version of monologg/kobert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0005
Weighted F1: 0.8105
Micro F1: 0.8111
Macro F1: 0.7857
P@1: 0.8940
P@3: 0.9640
P@5: 0.9788

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	P@1	P@3	P@5	Weighted F1
0.0010	1.0	25237	0.0009	0.5947	0.6484	0.7155	0.8598	0.9090	0.6307
0.0006	2.0	50474	0.0006	0.7071	0.7419	0.8183	0.9262	0.9580	0.7371
0.0006	3.0	75711	0.0005	0.7373	0.7686	0.8476	0.9416	0.9696	0.7665
0.0005	4.0	100948	0.0005	0.7851	0.7862	0.7578	0.8660	0.9523	0.9756
0.0003	5.0	126185	0.0005	0.7889	0.7890	0.7624	0.8725	0.9559	0.9766
0.0004	6.0	151422	0.0005	0.7881	0.7896	0.7626	0.8721	0.9528	0.9736
0.0003	7.0	176659	0.0004	0.8046	0.8053	0.7793	0.8849	0.9626	0.9790
0.0003	8.0	201896	0.0004	0.8078	0.8086	0.7846	0.8890	0.9635	0.9805
0.0002	9.0	227133	0.0005	0.8080	0.8085	0.7836	0.8922	0.9634	0.9804
0.0002	10.0	252370	0.0005	0.8106	0.8117	0.7873	0.8929	0.9631	0.9797
0.0001	11.0	277607	0.0005	0.8134	0.8139	0.7882	0.8945	0.9642	0.9803
0.0001	12.0	302844	0.0005	0.8105	0.8111	0.7857	0.8940	0.9640	0.9788

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 8, 2026
Updated: Jul 9, 2026