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bert-finetuned-ner-ko – AI Model by wisejiyoon | AlphaNeural AI
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bert-finetuned-ner-ko
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transformers
pytorch
bert
token-classification
generated_from_trainer
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner-ko
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: 0.0083
Precision: 0.9859
Recall: 0.9913
F1: 0.9886
Accuracy: 0.9980
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: 8
eval_batch_size: 8
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
0.0649
1.0
1250
0.0295
0.9468
0.9679
0.9572
0.9919
0.0275
2.0
2500
0.0132
0.9777
0.9870
0.9823
0.9966
0.0141
3.0
3750
0.0083
0.9859
0.9913
0.9886
0.9980
Framework versions
Transformers 4.27.3
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2
