koelectra-90435398

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
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.94	10	1.8954
No log	1.94	20	1.7180

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2