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--- |
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library_name: transformers |
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language: |
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- ko |
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base_model: lang-brain-4 |
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tags: |
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- text-classification |
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- korean_NLP |
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- koELECTRA |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: ynat_model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ynat_model |
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This model is a fine-tuned version of [lang-brain-4](https://huggingface.co/lang-brain-4) on the klue-ynat dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5232 |
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- Accuracy: 0.8554 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4118 | 1.0 | 714 | 0.5012 | 0.8260 | |
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| 0.3121 | 2.0 | 1428 | 0.4110 | 0.8497 | |
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| 0.2366 | 3.0 | 2142 | 0.4450 | 0.8515 | |
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| 0.1895 | 4.0 | 2856 | 0.4615 | 0.8559 | |
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| 0.1163 | 5.0 | 3570 | 0.5232 | 0.8554 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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