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roberta-base-klue-ynat
ryuinhwan/roberta-base-klue-ynat
roberta-base-klue-ynat is a text classification model from ryuinhwan. 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
- roberta
- Access
- Public
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026
- SHA
- 420fccd8
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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. -->
roberta-base-klue-ynat
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4666
- Accuracy: 0.857
- Precision: 0.8545
- Recall: 0.8637
- F1: 0.8569
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: 32
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3870 | 1.0 | 313 | 0.4724 | 0.844 | 0.8298 | 0.8761 | 0.8475 |
| 0.3091 | 2.0 | 626 | 0.5199 | 0.837 | 0.8247 | 0.8669 | 0.8404 |
| 0.1704 | 3.0 | 939 | 0.4666 | 0.857 | 0.8545 | 0.8637 | 0.8569 |
| 0.0981 | 4.0 | 1252 | 0.5513 | 0.855 | 0.8525 | 0.8548 | 0.8530 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cpu
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026