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kogpt2-base-v2-finetuned-klue-ner – AI Model by kimje | AlphaNeural AI
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kogpt2-base-v2-finetuned-klue-ner
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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-ner
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: 0.4138
F1: 0.4825
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: 24
eval_batch_size: 24
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
F1
0.6174
1.0
876
0.5515
0.3334
0.3878
2.0
1752
0.5132
0.3916
0.2756
3.0
2628
0.4138
0.4825
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
