This model is a fine-tuned version of monologg/koelectra-base-v3-discriminator on the custom_squad_v2 dataset.
It achieves the following results on the evaluation set:
Loss: 1.7180
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: 0.0002
train_batch_size: 128
eval_batch_size: 128
seed: 30
gradient_accumulation_steps: 8
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
