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koelectra_ko_swag_model
sungkwan2/koelectra_ko_swag_model
koelectra_ko_swag_model is a multiple choice model from sungkwan2. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- Jun 19, 2025
- Updated
- Jun 19, 2025
- SHA
- d0903a2d
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. -->
koelectra_ko_swag_model
This model is a fine-tuned version of monologg/koelectra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2377
- Accuracy: 0.6
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 7 | 1.4520 | 0.5333 |
| No log | 2.0 | 14 | 2.1688 | 0.5333 |
| No log | 3.0 | 21 | 2.0073 | 0.5333 |
| No log | 4.0 | 28 | 1.7407 | 0.5667 |
| No log | 5.0 | 35 | 1.9195 | 0.5333 |
| No log | 6.0 | 42 | 2.0526 | 0.6 |
| No log | 7.0 | 49 | 2.1585 | 0.6 |
| No log | 8.0 | 56 | 2.2109 | 0.6 |
| No log | 9.0 | 63 | 2.2324 | 0.6 |
| No log | 10.0 | 70 | 2.2377 | 0.6 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- multiple choice
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- Jun 19, 2025
- Updated
- Jun 19, 2025