KcELECTRA-base-v2022-Aspect-Extraction
This model is a fine-tuned version of beomi/KcELECTRA-base-v2022 for Aspect Extraction (Grid Tagging Scheme, GTS) in the South Korean e-commerce domain.
Training Details
The fine-tuning process was conducted under the following hyperparameters and environment:
- Dataset Size: 20,000 e-commerce reviews
- Optimizer: Adam
- Learning Rate: 5e-5
- Batch Size: 16
- Epochs: 25
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Model tree for imlab-ewha/KcELECTRA-base-v2022-Aspect-Extraction
Base model
beomi/KcELECTRA-base-v2022