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ynat_model – AI Model by bgh0796 | AlphaNeural AI
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ynat_model
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transformers
safetensors
electra
text-classification
korean_NLP
KoELECTRA
generated_from_trainer
ko
monologg/koelectra-base-v3-discriminator
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ynat_model
This model is a fine-tuned version of
monologg/koelectra-base-v3-discriminator
on the klue-ynat dataset.
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
