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: 0.1406
• Accuracy: 0.9629
• F1: 0.8299

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
0.1644	1.0	12920	0.1546	0.9526	0.7836
0.1073	2.0	25840	0.1399	0.9618	0.8229
0.1156	3.0	38760	0.1406	0.9629	0.8299

Framework versions

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