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kcELECTRA-absa
cocoaice/kcELECTRA-absa
kcELECTRA-absa is a text classification model from cocoaice. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- electra
- Access
- Public
- Created
- Oct 23, 2025
- Updated
- Oct 23, 2025
- SHA
- d682390c
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- mit
- Languages
- ko
- Created
- Oct 23, 2025
- Updated
- Oct 23, 2025