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

cocoaice/kcELECTRA-absa

kcELECTRA-absa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cocoaice/
kcELECTRA-absa