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kogpt2-base-v2-finetuned-klue-ner2 – AI Model by hyoni | AlphaNeural AI
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kogpt2-base-v2-finetuned-klue-ner2
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transformers
pytorch
tensorboard
gpt2
token-classification
generated_from_trainer
klue
cc-by-nc-sa-4.0
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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kogpt2-base-v2-finetuned-klue-ner2
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: 0.4307
F1: 0.4047
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6164
1.0
1313
0.5407
0.2116
0.4128
2.0
2626
0.5157
0.2614
0.3186
3.0
3939
0.4291
0.3462
0.2514
4.0
5252
0.4261
0.3734
0.1989
5.0
6565
0.4307
0.4047
Framework versions
Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
