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ynat_model
yebita/ynat_model
ynat_model is a text classification model from yebita. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025
- SHA
- 049f0d45
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. -->
ynat_model
This model is a fine-tuned version of brina-4 on the klue-ynat dataset. It achieves the following results on the evaluation set:
- Loss: 0.5193
- Accuracy: 0.8567
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: 64
- eval_batch_size: 64
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4049 | 1.0 | 714 | 0.4515 | 0.8425 |
| 0.3132 | 2.0 | 1428 | 0.4136 | 0.8497 |
| 0.2289 | 3.0 | 2142 | 0.4638 | 0.8452 |
| 0.1833 | 4.0 | 2856 | 0.4686 | 0.8598 |
| 0.1155 | 5.0 | 3570 | 0.5193 | 0.8567 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- ko
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025