kcELECTRA-absa

This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 on the AI Hub Kor ABSA Dataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.5211
• Accuracy: 0.8060
• F1: 0.6220

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5858	1.0	772	0.6595	0.7101	0.4422
0.426	2.0	1544	0.4981	0.7973	0.6054
0.3829	3.0	2316	0.5211	0.8060	0.6220

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1