hate

This model is a fine-tuned version of beomi/KcELECTRA-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4020
• Accuracy: 0.8309

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 0.2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4859	0.2002	734	0.4020	0.8309

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.0
• Tokenizers 0.21.0