korean_disease_ner – AI Model by keonju | AlphaNeural AI

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keonju/
korean_disease_ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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korean_disease_ner

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

Loss: 0.0792
Precision: 0.9478
Recall: 0.9553
F1: 0.9515
Accuracy: 0.9879

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: 50
eval_batch_size: 50
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	Precision	Recall	F1	Accuracy
0.1	1.0	1850	0.0461	0.9329	0.9401	0.9365	0.9850
0.0346	2.0	3700	0.0433	0.9367	0.9500	0.9433	0.9864
0.0211	3.0	5550	0.0482	0.9438	0.9493	0.9465	0.9871
0.013	4.0	7400	0.0532	0.9449	0.9501	0.9475	0.9869
0.0091	5.0	9250	0.0584	0.9430	0.9549	0.9489	0.9872
0.0063	6.0	11100	0.0675	0.9497	0.9503	0.9500	0.9874
0.0044	7.0	12950	0.0660	0.9467	0.9543	0.9505	0.9876
0.0032	8.0	14800	0.0752	0.9429	0.9563	0.9495	0.9873
0.0025	9.0	16650	0.0766	0.9463	0.9561	0.9512	0.9878
0.0019	10.0	18500	0.0792	0.9478	0.9553	0.9515	0.9879

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2