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klue-roberta-base-ner-bio – AI Model by vitus9988 | AlphaNeural AI
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klue-roberta-base-ner-bio
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transformers
safetensors
roberta
token-classification
generated_from_trainer
korean
klue
ko
klue/roberta-base
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
klue/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0057
Precision: 0.9888
Recall: 1.0
F1: 0.9944
Accuracy: 0.9998
Model description
간단한 의료 관련 개체명 인식을 제공합니다.
약물명 [DR]
질병명 [DS]
유전자/단백질 명 [GN]
임상 증상 [CS]
의료 기기 [MD]
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
30
0.0363
0.8056
0.8898
0.8456
0.9886
No log
2.0
60
0.0079
0.9888
1.0
0.9944
0.9998
No log
3.0
90
0.0057
0.9888
1.0
0.9944
0.9998
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1
