| library_name: transformers | |
| language: | |
| - ko | |
| license: mit | |
| base_model: beomi/KcELECTRA-base-v2022 | |
| tags: | |
| - absa | |
| - sentiment-analysis | |
| - aspect-based-sentiment-analysis | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: kcELECTRA-absa | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # kcELECTRA-absa | |
| This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/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 | |